Running 1 job
{
    "type": "diffusion_trainer",
    "training_folder": "/root/lab/ai-toolkit/output",
    "sqlite_db_path": "/root/lab/ai-toolkit/aitk_db.db",
    "device": "cuda",
    "trigger_word": "l4n4lux",
    "performance_log_every": 10,
    "network": {
        "type": "lora",
        "linear": 64,
        "linear_alpha": 64,
        "conv": 16,
        "conv_alpha": 16,
        "lokr_full_rank": true,
        "lokr_factor": -1,
        "network_kwargs": {
            "ignore_if_contains": []
        }
    },
    "save": {
        "dtype": "bf16",
        "save_every": 250,
        "max_step_saves_to_keep": 4,
        "save_format": "diffusers",
        "push_to_hub": false
    },
    "datasets": [
        {
            "folder_path": "/root/lab/ai-toolkit/datasets/lana",
            "mask_path": null,
            "mask_min_value": 0.1,
            "default_caption": "l4n4lux",
            "caption_ext": "txt",
            "caption_dropout_rate": 0.05,
            "cache_latents_to_disk": false,
            "is_reg": false,
            "network_weight": 1,
            "resolution": [
                512,
                768,
                1024
            ],
            "controls": [],
            "shrink_video_to_frames": true,
            "num_frames": 1,
            "flip_x": false,
            "flip_y": false,
            "num_repeats": 1
        }
    ],
    "train": {
        "batch_size": 1,
        "bypass_guidance_embedding": false,
        "steps": 5000,
        "gradient_accumulation": 1,
        "train_unet": true,
        "train_text_encoder": false,
        "gradient_checkpointing": true,
        "noise_scheduler": "flowmatch",
        "optimizer": "adamw8bit",
        "timestep_type": "sigmoid",
        "content_or_style": "balanced",
        "optimizer_params": {
            "weight_decay": 0.0001
        },
        "unload_text_encoder": false,
        "cache_text_embeddings": false,
        "lr": 0.0001,
        "ema_config": {
            "use_ema": false,
            "ema_decay": 0.99
        },
        "skip_first_sample": false,
        "force_first_sample": false,
        "disable_sampling": false,
        "dtype": "bf16",
        "diff_output_preservation": false,
        "diff_output_preservation_multiplier": 1,
        "diff_output_preservation_class": "person",
        "switch_boundary_every": 1,
        "loss_type": "mse"
    },
    "logging": {
        "log_every": 1,
        "use_ui_logger": true
    },
    "model": {
        "name_or_path": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
        "quantize": false,
        "qtype": "qfloat8",
        "quantize_te": false,
        "qtype_te": "qfloat8",
        "arch": "wan21:14b",
        "low_vram": false,
        "model_kwargs": {}
    },
    "sample": {
        "sampler": "flowmatch",
        "sample_every": 250,
        "width": 1024,
        "height": 1024,
        "samples": [
            {
                "prompt": "l4n4lux, woman with red hair, playing chess at the park, bomb going off in the background"
            }
        ],
        "neg": "",
        "seed": 42,
        "walk_seed": true,
        "guidance_scale": 4,
        "sample_steps": 25,
        "num_frames": 1,
        "fps": 1
    }
}
Using SQLite database at /root/lab/ai-toolkit/aitk_db.db
Job ID: "b0147168-b135-4b18-91d9-7aba150e9d83"

#############################################
# Running job: lana_lora_wan2.1
#############################################


Running  1 process
Loading Wan model
Loading transformer

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transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:06<02:28, 32.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:07<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:08<03:08, 25.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:09<03:08, 25.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:09<03:08, 25.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#5                                                     | 134M/4.92G [00:09<03:08, 25.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:30, 22.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:33, 22.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:06<02:36, 30.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:06<02:36, 30.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:07<02:36, 30.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:07<02:36, 30.5MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:07<02:36, 30.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):   4%|##2                                                    | 201M/4.92G [00:09<05:18, 14.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:07<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:08<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:09<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
transformer/diffusion_pytorch_model-0000(…):   3%|#4                                                     | 134M/4.92G [00:10<03:24, 23.4MB/s]
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transformer/diffusion_pytorch_model-0001(…):   3%|#4                                                     | 134M/4.92G [00:06<02:40, 29.8MB/s]
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transformer/diffusion_pytorch_model-0001(…):   3%|#5                                                     | 134M/4.92G [00:06<02:16, 35.1MB/s]
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special_tokens_map.json: 7.08kB [00:00, 22.2MB/s]

You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!

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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:07<03:21, 24.0MB/s]
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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:08<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:08<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:08<03:21, 24.0MB/s]
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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
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text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:09<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   3%|#4                                                     | 134M/4.98G [00:10<03:21, 24.0MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:10<06:28, 12.3MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:10<06:28, 12.3MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:11<06:57, 11.5MB/s]
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text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:12<06:57, 11.5MB/s]
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text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:12<06:57, 11.5MB/s]
text_encoder/model-00002-of-00003.safete(…):   4%|##2                                                    | 201M/4.98G [00:12<06:57, 11.5MB/s]
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text_encoder/model-00002-of-00003.safete(…):   5%|##8                                                    | 256M/4.98G [00:13<11:45, 6.70MB/s]
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text_encoder/model-00002-of-00003.safete(…):   7%|###7                                                   | 335M/4.98G [00:17<13:49, 5.60MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:04<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
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text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
text_encoder/model-00003-of-00003.safete(…):   5%|##5                                                   | 67.1M/1.44G [00:05<00:14, 95.2MB/s]
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Making pipe
Preparing Model
create LoRA network. base dim (rank): 64, alpha: 64
neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
create LoRA for Text Encoder: 0 modules.
create LoRA for U-Net: 400 modules.
enable LoRA for U-Net
Dataset: /root/lab/ai-toolkit/datasets/lana
  -  Preprocessing image dimensions

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  1%|#4                                                                                                       | 1/72 [00:00<00:17,  4.17it/s]
  1%|#4                                                                                                       | 1/72 [00:00<00:17,  4.17it/s]
  3%|##9                                                                                                      | 2/72 [00:00<00:17,  3.93it/s]
  3%|##9                                                                                                      | 2/72 [00:00<00:17,  3.93it/s]
  4%|####3                                                                                                    | 3/72 [00:00<00:16,  4.09it/s]
  4%|####3                                                                                                    | 3/72 [00:00<00:16,  4.09it/s]
  6%|#####8                                                                                                   | 4/72 [00:00<00:16,  4.15it/s]
  6%|#####8                                                                                                   | 4/72 [00:00<00:16,  4.15it/s]
  7%|#######2                                                                                                 | 5/72 [00:01<00:15,  4.43it/s]
  7%|#######2                                                                                                 | 5/72 [00:01<00:15,  4.43it/s]
  8%|########7                                                                                                | 6/72 [00:01<00:14,  4.48it/s]
  8%|########7                                                                                                | 6/72 [00:01<00:14,  4.48it/s]
 10%|##########2                                                                                              | 7/72 [00:01<00:14,  4.51it/s]
 10%|##########2                                                                                              | 7/72 [00:01<00:14,  4.51it/s]
 11%|###########6                                                                                             | 8/72 [00:01<00:14,  4.49it/s]
 11%|###########6                                                                                             | 8/72 [00:01<00:14,  4.49it/s]
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100%|########################################################################################################| 72/72 [00:17<00:00,  4.16it/s]

  -  Found 72 images
Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
480x512: 72 files
1 buckets made
Dataset: /root/lab/ai-toolkit/datasets/lana
  -  Preprocessing image dimensions

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100%|#####################################################################################################| 72/72 [00:00<00:00, 27573.95it/s]
100%|#####################################################################################################| 72/72 [00:00<00:00, 27573.95it/s]

  -  Found 72 images
Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
720x768: 72 files
1 buckets made
Dataset: /root/lab/ai-toolkit/datasets/lana
  -  Preprocessing image dimensions

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100%|#####################################################################################################| 72/72 [00:00<00:00, 26423.12it/s]
100%|#####################################################################################################| 72/72 [00:00<00:00, 26423.12it/s]

  -  Found 72 images
Bucket sizes for /root/lab/ai-toolkit/datasets/lana:
960x1024: 72 files
1 buckets made
Generating baseline samples before training

Generating Images:   0%|                                                                                               | 0/1 [00:00<?, ?it/s]
Generating Images:   0%|                                                                                               | 0/1 [00:00<?, ?it/s]


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  4%|####2                                                                                                    | 1/25 [00:00<00:19,  1.21it/s]
  4%|####2                                                                                                    | 1/25 [00:00<00:19,  1.21it/s]


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  8%|########4                                                                                                | 2/25 [00:01<00:16,  1.37it/s]


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 24%|#########################2                                                                               | 6/25 [00:04<00:12,  1.49it/s]


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Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.45s/it]
Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.45s/it]
                                                                                                                                             
                                                                                                                                             


lana_lora_wan2.1:   0%|                                                                                             | 0/5000 [00:00<?, ?it/s]
lana_lora_wan2.1:   0%|                                                                                             | 0/5000 [00:00<?, ?it/s]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:03<?, ?it/s, lr: 1.0e-04 loss: 8.433e-02]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:03<?, ?it/s, lr: 1.0e-04 loss: 8.433e-02]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:03<?, ?it/s, lr: 1.0e-04 loss: 8.433e-02]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:03<?, ?it/s, lr: 1.0e-04 loss: 8.433e-02]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:04<?, ?it/s, lr: 1.0e-04 loss: 8.018e-02]
lana_lora_wan2.1:   0%|                                                                | 0/5000 [00:04<?, ?it/s, lr: 1.0e-04 loss: 8.018e-02]
lana_lora_wan2.1:   0%|                                                      | 1/5000 [00:05<7:48:39,  5.62s/it, lr: 1.0e-04 loss: 4.010e-02]
lana_lora_wan2.1:   0%|                                                      | 1/5000 [00:05<7:48:39,  5.62s/it, lr: 1.0e-04 loss: 4.010e-02]
lana_lora_wan2.1:   0%|                                                      | 2/5000 [00:06<4:37:17,  3.33s/it, lr: 1.0e-04 loss: 8.148e-02]
lana_lora_wan2.1:   0%|                                                      | 2/5000 [00:06<4:37:17,  3.33s/it, lr: 1.0e-04 loss: 8.148e-02]
lana_lora_wan2.1:   0%|                                                      | 3/5000 [00:08<3:53:27,  2.80s/it, lr: 1.0e-04 loss: 4.594e-02]
lana_lora_wan2.1:   0%|                                                      | 3/5000 [00:08<3:53:27,  2.80s/it, lr: 1.0e-04 loss: 4.594e-02]
lana_lora_wan2.1:   0%|                                                      | 4/5000 [00:10<3:30:55,  2.53s/it, lr: 1.0e-04 loss: 5.285e-02]
lana_lora_wan2.1:   0%|                                                      | 4/5000 [00:10<3:30:55,  2.53s/it, lr: 1.0e-04 loss: 5.285e-02]
lana_lora_wan2.1:   0%|                                                      | 5/5000 [00:10<2:58:21,  2.14s/it, lr: 1.0e-04 loss: 1.364e-01]
lana_lora_wan2.1:   0%|                                                      | 5/5000 [00:10<2:58:21,  2.14s/it, lr: 1.0e-04 loss: 1.364e-01]
lana_lora_wan2.1:   0%|                                                      | 6/5000 [00:11<2:36:39,  1.88s/it, lr: 1.0e-04 loss: 7.043e-02]
lana_lora_wan2.1:   0%|                                                      | 6/5000 [00:11<2:36:39,  1.88s/it, lr: 1.0e-04 loss: 7.043e-02]
lana_lora_wan2.1:   0%|                                                      | 7/5000 [00:12<2:26:39,  1.76s/it, lr: 1.0e-04 loss: 5.477e-02]
lana_lora_wan2.1:   0%|                                                      | 7/5000 [00:12<2:26:39,  1.76s/it, lr: 1.0e-04 loss: 5.477e-02]
lana_lora_wan2.1:   0%|                                                      | 8/5000 [00:12<2:14:16,  1.61s/it, lr: 1.0e-04 loss: 1.143e-01]
lana_lora_wan2.1:   0%|                                                      | 8/5000 [00:12<2:14:16,  1.61s/it, lr: 1.0e-04 loss: 1.143e-01]
lana_lora_wan2.1:   0%|                                                      | 9/5000 [00:14<2:15:12,  1.63s/it, lr: 1.0e-04 loss: 5.594e-02]
lana_lora_wan2.1:   0%|                                                      | 9/5000 [00:14<2:15:12,  1.63s/it, lr: 1.0e-04 loss: 5.594e-02]
lana_lora_wan2.1:   0%|1                                                    | 10/5000 [00:15<2:10:19,  1.57s/it, lr: 1.0e-04 loss: 4.972e-02]
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lana_lora_wan2.1:   0%|1                                                    | 11/5000 [00:16<2:08:24,  1.54s/it, lr: 1.0e-04 loss: 2.128e-01]
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lana_lora_wan2.1:   1%|2                                                    | 26/5000 [00:33<1:46:14,  1.28s/it, lr: 1.0e-04 loss: 3.286e-02]
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lana_lora_wan2.1:   1%|2                                                    | 27/5000 [00:33<1:44:05,  1.26s/it, lr: 1.0e-04 loss: 3.583e-02]
lana_lora_wan2.1:   1%|2                                                    | 28/5000 [00:35<1:45:26,  1.27s/it, lr: 1.0e-04 loss: 3.952e-02]
lana_lora_wan2.1:   1%|2                                                    | 28/5000 [00:35<1:45:26,  1.27s/it, lr: 1.0e-04 loss: 3.952e-02]
lana_lora_wan2.1:   1%|3                                                    | 29/5000 [00:36<1:43:25,  1.25s/it, lr: 1.0e-04 loss: 4.211e-02]
lana_lora_wan2.1:   1%|3                                                    | 29/5000 [00:36<1:43:25,  1.25s/it, lr: 1.0e-04 loss: 4.211e-02]
lana_lora_wan2.1:   1%|3                                                    | 30/5000 [00:36<1:41:32,  1.23s/it, lr: 1.0e-04 loss: 6.824e-02]
lana_lora_wan2.1:   1%|3                                                    | 30/5000 [00:36<1:41:32,  1.23s/it, lr: 1.0e-04 loss: 6.824e-02]
lana_lora_wan2.1:   1%|3                                                    | 31/5000 [00:37<1:39:46,  1.20s/it, lr: 1.0e-04 loss: 5.902e-02]
lana_lora_wan2.1:   1%|3                                                    | 31/5000 [00:37<1:39:46,  1.20s/it, lr: 1.0e-04 loss: 5.902e-02]
lana_lora_wan2.1:   1%|3                                                    | 32/5000 [00:37<1:38:07,  1.19s/it, lr: 1.0e-04 loss: 8.854e-02]
lana_lora_wan2.1:   1%|3                                                    | 32/5000 [00:37<1:38:07,  1.19s/it, lr: 1.0e-04 loss: 8.854e-02]
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lana_lora_wan2.1:   1%|3                                                    | 35/5000 [00:42<1:39:19,  1.20s/it, lr: 1.0e-04 loss: 3.407e-02]
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lana_lora_wan2.1:   1%|3                                                    | 36/5000 [00:43<1:40:29,  1.21s/it, lr: 1.0e-04 loss: 4.052e-02]
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lana_lora_wan2.1:   1%|3                                                    | 37/5000 [00:44<1:40:04,  1.21s/it, lr: 1.0e-04 loss: 7.311e-02]
lana_lora_wan2.1:   1%|3                                                    | 37/5000 [00:44<1:40:04,  1.21s/it, lr: 1.0e-04 loss: 7.311e-02]
lana_lora_wan2.1:   1%|4                                                    | 38/5000 [00:45<1:39:41,  1.21s/it, lr: 1.0e-04 loss: 4.291e-02]
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lana_lora_wan2.1:   1%|4                                                    | 39/5000 [00:47<1:40:45,  1.22s/it, lr: 1.0e-04 loss: 9.121e-02]
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lana_lora_wan2.1:   1%|4                                                    | 40/5000 [00:48<1:40:22,  1.21s/it, lr: 1.0e-04 loss: 8.073e-02]
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lana_lora_wan2.1:   1%|4                                                    | 41/5000 [00:50<1:41:22,  1.23s/it, lr: 1.0e-04 loss: 4.674e-02]
lana_lora_wan2.1:   1%|4                                                    | 41/5000 [00:50<1:41:22,  1.23s/it, lr: 1.0e-04 loss: 4.674e-02]
lana_lora_wan2.1:   1%|4                                                    | 42/5000 [00:52<1:42:19,  1.24s/it, lr: 1.0e-04 loss: 5.539e-02]
lana_lora_wan2.1:   1%|4                                                    | 42/5000 [00:52<1:42:19,  1.24s/it, lr: 1.0e-04 loss: 5.539e-02]
lana_lora_wan2.1:   1%|4                                                    | 43/5000 [00:52<1:41:02,  1.22s/it, lr: 1.0e-04 loss: 4.601e-02]
lana_lora_wan2.1:   1%|4                                                    | 43/5000 [00:52<1:41:02,  1.22s/it, lr: 1.0e-04 loss: 4.601e-02]
lana_lora_wan2.1:   1%|4                                                    | 44/5000 [00:53<1:41:11,  1.22s/it, lr: 1.0e-04 loss: 1.979e-01]
lana_lora_wan2.1:   1%|4                                                    | 44/5000 [00:53<1:41:11,  1.22s/it, lr: 1.0e-04 loss: 1.979e-01]
lana_lora_wan2.1:   1%|4                                                    | 45/5000 [00:54<1:39:58,  1.21s/it, lr: 1.0e-04 loss: 4.634e-02]
lana_lora_wan2.1:   1%|4                                                    | 45/5000 [00:54<1:39:58,  1.21s/it, lr: 1.0e-04 loss: 4.634e-02]
lana_lora_wan2.1:   1%|4                                                    | 46/5000 [00:55<1:38:49,  1.20s/it, lr: 1.0e-04 loss: 6.447e-02]
lana_lora_wan2.1:   1%|4                                                    | 46/5000 [00:55<1:38:49,  1.20s/it, lr: 1.0e-04 loss: 6.447e-02]
lana_lora_wan2.1:   1%|4                                                    | 47/5000 [00:56<1:38:32,  1.19s/it, lr: 1.0e-04 loss: 7.388e-02]
lana_lora_wan2.1:   1%|4                                                    | 47/5000 [00:56<1:38:32,  1.19s/it, lr: 1.0e-04 loss: 7.388e-02]
lana_lora_wan2.1:   1%|5                                                    | 48/5000 [00:57<1:39:25,  1.20s/it, lr: 1.0e-04 loss: 1.251e-01]
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lana_lora_wan2.1:   1%|5                                                    | 51/5000 [01:00<1:37:50,  1.19s/it, lr: 1.0e-04 loss: 5.140e-02]
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lana_lora_wan2.1:   1%|5                                                    | 52/5000 [01:01<1:36:51,  1.17s/it, lr: 1.0e-04 loss: 5.376e-02]
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lana_lora_wan2.1:   1%|5                                                    | 53/5000 [01:02<1:37:41,  1.18s/it, lr: 1.0e-04 loss: 2.571e-02]
lana_lora_wan2.1:   1%|5                                                    | 53/5000 [01:02<1:37:41,  1.18s/it, lr: 1.0e-04 loss: 2.571e-02]
lana_lora_wan2.1:   1%|5                                                    | 54/5000 [01:03<1:37:27,  1.18s/it, lr: 1.0e-04 loss: 1.284e-01]
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lana_lora_wan2.1:   1%|5                                                    | 55/5000 [01:05<1:38:41,  1.20s/it, lr: 1.0e-04 loss: 2.795e-02]
lana_lora_wan2.1:   1%|5                                                    | 55/5000 [01:05<1:38:41,  1.20s/it, lr: 1.0e-04 loss: 2.795e-02]
lana_lora_wan2.1:   1%|5                                                    | 56/5000 [01:07<1:39:27,  1.21s/it, lr: 1.0e-04 loss: 1.264e-01]
lana_lora_wan2.1:   1%|5                                                    | 56/5000 [01:07<1:39:27,  1.21s/it, lr: 1.0e-04 loss: 1.264e-01]
lana_lora_wan2.1:   1%|6                                                    | 57/5000 [01:08<1:38:30,  1.20s/it, lr: 1.0e-04 loss: 6.027e-02]
lana_lora_wan2.1:   1%|6                                                    | 57/5000 [01:08<1:38:30,  1.20s/it, lr: 1.0e-04 loss: 6.027e-02]
lana_lora_wan2.1:   1%|6                                                    | 58/5000 [01:08<1:37:37,  1.19s/it, lr: 1.0e-04 loss: 4.892e-02]
lana_lora_wan2.1:   1%|6                                                    | 58/5000 [01:08<1:37:37,  1.19s/it, lr: 1.0e-04 loss: 4.892e-02]
lana_lora_wan2.1:   1%|6                                                    | 59/5000 [01:09<1:37:23,  1.18s/it, lr: 1.0e-04 loss: 1.260e-01]
lana_lora_wan2.1:   1%|6                                                    | 59/5000 [01:09<1:37:23,  1.18s/it, lr: 1.0e-04 loss: 1.260e-01]
lana_lora_wan2.1:   1%|6                                                    | 60/5000 [01:11<1:38:07,  1.19s/it, lr: 1.0e-04 loss: 4.193e-02]
lana_lora_wan2.1:   1%|6                                                    | 60/5000 [01:11<1:38:07,  1.19s/it, lr: 1.0e-04 loss: 4.193e-02]
lana_lora_wan2.1:   1%|6                                                    | 61/5000 [01:12<1:37:54,  1.19s/it, lr: 1.0e-04 loss: 7.186e-02]
lana_lora_wan2.1:   1%|6                                                    | 61/5000 [01:12<1:37:54,  1.19s/it, lr: 1.0e-04 loss: 7.186e-02]
lana_lora_wan2.1:   1%|6                                                    | 62/5000 [01:13<1:37:04,  1.18s/it, lr: 1.0e-04 loss: 1.409e-01]
lana_lora_wan2.1:   1%|6                                                    | 62/5000 [01:13<1:37:04,  1.18s/it, lr: 1.0e-04 loss: 1.409e-01]
lana_lora_wan2.1:   1%|6                                                    | 63/5000 [01:14<1:36:52,  1.18s/it, lr: 1.0e-04 loss: 3.297e-02]
lana_lora_wan2.1:   1%|6                                                    | 63/5000 [01:14<1:36:52,  1.18s/it, lr: 1.0e-04 loss: 3.297e-02]
lana_lora_wan2.1:   1%|6                                                    | 64/5000 [01:14<1:36:05,  1.17s/it, lr: 1.0e-04 loss: 4.102e-02]
lana_lora_wan2.1:   1%|6                                                    | 64/5000 [01:14<1:36:05,  1.17s/it, lr: 1.0e-04 loss: 4.102e-02]
lana_lora_wan2.1:   1%|6                                                    | 65/5000 [01:16<1:36:46,  1.18s/it, lr: 1.0e-04 loss: 5.257e-01]
lana_lora_wan2.1:   1%|6                                                    | 65/5000 [01:16<1:36:46,  1.18s/it, lr: 1.0e-04 loss: 5.257e-01]
lana_lora_wan2.1:   1%|6                                                    | 66/5000 [01:17<1:36:00,  1.17s/it, lr: 1.0e-04 loss: 5.487e-02]
lana_lora_wan2.1:   1%|6                                                    | 66/5000 [01:17<1:36:00,  1.17s/it, lr: 1.0e-04 loss: 5.487e-02]
lana_lora_wan2.1:   1%|7                                                    | 67/5000 [01:18<1:35:49,  1.17s/it, lr: 1.0e-04 loss: 4.897e-02]
lana_lora_wan2.1:   1%|7                                                    | 67/5000 [01:18<1:35:49,  1.17s/it, lr: 1.0e-04 loss: 4.897e-02]
lana_lora_wan2.1:   1%|7                                                    | 68/5000 [01:19<1:36:01,  1.17s/it, lr: 1.0e-04 loss: 2.168e-02]
lana_lora_wan2.1:   1%|7                                                    | 68/5000 [01:19<1:36:01,  1.17s/it, lr: 1.0e-04 loss: 2.168e-02]
lana_lora_wan2.1:   1%|7                                                    | 69/5000 [01:20<1:35:51,  1.17s/it, lr: 1.0e-04 loss: 9.375e-02]
lana_lora_wan2.1:   1%|7                                                    | 69/5000 [01:20<1:35:51,  1.17s/it, lr: 1.0e-04 loss: 9.375e-02]
lana_lora_wan2.1:   1%|7                                                    | 70/5000 [01:21<1:35:40,  1.16s/it, lr: 1.0e-04 loss: 2.866e-02]
lana_lora_wan2.1:   1%|7                                                    | 70/5000 [01:21<1:35:40,  1.16s/it, lr: 1.0e-04 loss: 2.866e-02]
lana_lora_wan2.1:   1%|7                                                    | 71/5000 [01:22<1:35:31,  1.16s/it, lr: 1.0e-04 loss: 1.262e-01]
lana_lora_wan2.1:   1%|7                                                    | 71/5000 [01:22<1:35:31,  1.16s/it, lr: 1.0e-04 loss: 1.262e-01]
lana_lora_wan2.1:   1%|7                                                    | 72/5000 [01:23<1:35:22,  1.16s/it, lr: 1.0e-04 loss: 3.015e-02]
lana_lora_wan2.1:   1%|7                                                    | 72/5000 [01:23<1:35:22,  1.16s/it, lr: 1.0e-04 loss: 3.015e-02]
lana_lora_wan2.1:   1%|7                                                    | 73/5000 [01:24<1:35:14,  1.16s/it, lr: 1.0e-04 loss: 5.048e-02]
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lana_lora_wan2.1:   1%|7                                                    | 74/5000 [01:26<1:35:50,  1.17s/it, lr: 1.0e-04 loss: 4.368e-02]
lana_lora_wan2.1:   1%|7                                                    | 74/5000 [01:26<1:35:50,  1.17s/it, lr: 1.0e-04 loss: 4.368e-02]
lana_lora_wan2.1:   2%|7                                                    | 75/5000 [01:27<1:35:40,  1.17s/it, lr: 1.0e-04 loss: 3.406e-02]
lana_lora_wan2.1:   2%|7                                                    | 75/5000 [01:27<1:35:40,  1.17s/it, lr: 1.0e-04 loss: 3.406e-02]
lana_lora_wan2.1:   2%|8                                                    | 76/5000 [01:29<1:36:15,  1.17s/it, lr: 1.0e-04 loss: 4.614e-02]
lana_lora_wan2.1:   2%|8                                                    | 76/5000 [01:29<1:36:15,  1.17s/it, lr: 1.0e-04 loss: 4.614e-02]
lana_lora_wan2.1:   2%|8                                                    | 77/5000 [01:30<1:36:50,  1.18s/it, lr: 1.0e-04 loss: 5.276e-02]
lana_lora_wan2.1:   2%|8                                                    | 77/5000 [01:30<1:36:50,  1.18s/it, lr: 1.0e-04 loss: 5.276e-02]
lana_lora_wan2.1:   2%|8                                                    | 78/5000 [01:31<1:36:11,  1.17s/it, lr: 1.0e-04 loss: 9.216e-02]
lana_lora_wan2.1:   2%|8                                                    | 78/5000 [01:31<1:36:11,  1.17s/it, lr: 1.0e-04 loss: 9.216e-02]
lana_lora_wan2.1:   2%|8                                                    | 79/5000 [01:33<1:36:58,  1.18s/it, lr: 1.0e-04 loss: 3.699e-02]
lana_lora_wan2.1:   2%|8                                                    | 79/5000 [01:33<1:36:58,  1.18s/it, lr: 1.0e-04 loss: 3.699e-02]
lana_lora_wan2.1:   2%|8                                                    | 80/5000 [01:35<1:37:30,  1.19s/it, lr: 1.0e-04 loss: 3.299e-02]
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lana_lora_wan2.1:   2%|8                                                    | 82/5000 [01:37<1:37:10,  1.19s/it, lr: 1.0e-04 loss: 4.800e-01]
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lana_lora_wan2.1:   2%|8                                                    | 83/5000 [01:37<1:36:34,  1.18s/it, lr: 1.0e-04 loss: 6.915e-02]
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lana_lora_wan2.1:   2%|8                                                    | 84/5000 [01:39<1:37:04,  1.18s/it, lr: 1.0e-04 loss: 3.514e-02]
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lana_lora_wan2.1:   2%|9                                                    | 85/5000 [01:41<1:37:35,  1.19s/it, lr: 1.0e-04 loss: 1.962e-01]
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lana_lora_wan2.1:   2%|9                                                    | 86/5000 [01:42<1:38:04,  1.20s/it, lr: 1.0e-04 loss: 9.790e-02]
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lana_lora_wan2.1:   2%|9                                                    | 87/5000 [01:44<1:38:34,  1.20s/it, lr: 1.0e-04 loss: 4.735e-02]
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lana_lora_wan2.1:   2%|9                                                    | 88/5000 [01:45<1:38:25,  1.20s/it, lr: 1.0e-04 loss: 9.392e-02]
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lana_lora_wan2.1:   2%|9                                                    | 89/5000 [01:47<1:38:52,  1.21s/it, lr: 1.0e-04 loss: 9.798e-02]
lana_lora_wan2.1:   2%|9                                                    | 89/5000 [01:47<1:38:52,  1.21s/it, lr: 1.0e-04 loss: 9.798e-02]
lana_lora_wan2.1:   2%|9                                                    | 90/5000 [01:48<1:38:17,  1.20s/it, lr: 1.0e-04 loss: 8.020e-02]
lana_lora_wan2.1:   2%|9                                                    | 90/5000 [01:48<1:38:17,  1.20s/it, lr: 1.0e-04 loss: 8.020e-02]
lana_lora_wan2.1:   2%|9                                                    | 91/5000 [01:49<1:38:21,  1.20s/it, lr: 1.0e-04 loss: 4.751e-02]
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lana_lora_wan2.1:   2%|9                                                    | 92/5000 [01:50<1:37:48,  1.20s/it, lr: 1.0e-04 loss: 4.800e-02]
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lana_lora_wan2.1:   2%|9                                                    | 93/5000 [01:51<1:37:40,  1.19s/it, lr: 1.0e-04 loss: 3.101e-02]
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lana_lora_wan2.1:   2%|9                                                    | 94/5000 [01:51<1:37:14,  1.19s/it, lr: 1.0e-04 loss: 4.875e-02]
lana_lora_wan2.1:   2%|9                                                    | 94/5000 [01:51<1:37:14,  1.19s/it, lr: 1.0e-04 loss: 4.875e-02]
lana_lora_wan2.1:   2%|#                                                    | 95/5000 [01:52<1:36:49,  1.18s/it, lr: 1.0e-04 loss: 6.633e-02]
lana_lora_wan2.1:   2%|#                                                    | 95/5000 [01:52<1:36:49,  1.18s/it, lr: 1.0e-04 loss: 6.633e-02]
lana_lora_wan2.1:   2%|#                                                    | 96/5000 [01:53<1:36:22,  1.18s/it, lr: 1.0e-04 loss: 3.842e-02]
lana_lora_wan2.1:   2%|#                                                    | 96/5000 [01:53<1:36:22,  1.18s/it, lr: 1.0e-04 loss: 3.842e-02]
lana_lora_wan2.1:   2%|#                                                    | 97/5000 [01:54<1:36:14,  1.18s/it, lr: 1.0e-04 loss: 1.878e-01]
lana_lora_wan2.1:   2%|#                                                    | 97/5000 [01:54<1:36:14,  1.18s/it, lr: 1.0e-04 loss: 1.878e-01]
lana_lora_wan2.1:   2%|#                                                    | 98/5000 [01:55<1:36:40,  1.18s/it, lr: 1.0e-04 loss: 9.477e-02]
lana_lora_wan2.1:   2%|#                                                    | 98/5000 [01:55<1:36:40,  1.18s/it, lr: 1.0e-04 loss: 9.477e-02]
lana_lora_wan2.1:   2%|#                                                    | 99/5000 [01:57<1:37:06,  1.19s/it, lr: 1.0e-04 loss: 1.849e-01]
lana_lora_wan2.1:   2%|#                                                    | 99/5000 [01:57<1:37:06,  1.19s/it, lr: 1.0e-04 loss: 1.849e-01]
lana_lora_wan2.1:   2%|#                                                   | 100/5000 [01:58<1:36:58,  1.19s/it, lr: 1.0e-04 loss: 5.191e-02]
lana_lora_wan2.1:   2%|#                                                   | 100/5000 [01:58<1:36:58,  1.19s/it, lr: 1.0e-04 loss: 5.191e-02]
lana_lora_wan2.1:   2%|#                                                   | 101/5000 [01:59<1:36:28,  1.18s/it, lr: 1.0e-04 loss: 6.797e-02]
lana_lora_wan2.1:   2%|#                                                   | 101/5000 [01:59<1:36:28,  1.18s/it, lr: 1.0e-04 loss: 6.797e-02]
lana_lora_wan2.1:   2%|#                                                   | 102/5000 [02:00<1:36:34,  1.18s/it, lr: 1.0e-04 loss: 1.607e-01]
lana_lora_wan2.1:   2%|#                                                   | 102/5000 [02:00<1:36:34,  1.18s/it, lr: 1.0e-04 loss: 1.607e-01]
lana_lora_wan2.1:   2%|#                                                   | 103/5000 [02:01<1:36:04,  1.18s/it, lr: 1.0e-04 loss: 6.646e-02]
lana_lora_wan2.1:   2%|#                                                   | 103/5000 [02:01<1:36:04,  1.18s/it, lr: 1.0e-04 loss: 6.646e-02]
lana_lora_wan2.1:   2%|#                                                   | 104/5000 [02:02<1:35:57,  1.18s/it, lr: 1.0e-04 loss: 1.596e-01]
lana_lora_wan2.1:   2%|#                                                   | 104/5000 [02:02<1:35:57,  1.18s/it, lr: 1.0e-04 loss: 1.596e-01]
lana_lora_wan2.1:   2%|#                                                   | 105/5000 [02:04<1:36:21,  1.18s/it, lr: 1.0e-04 loss: 5.040e-02]
lana_lora_wan2.1:   2%|#                                                   | 105/5000 [02:04<1:36:21,  1.18s/it, lr: 1.0e-04 loss: 5.040e-02]
lana_lora_wan2.1:   2%|#1                                                  | 106/5000 [02:05<1:36:45,  1.19s/it, lr: 1.0e-04 loss: 3.328e-02]
lana_lora_wan2.1:   2%|#1                                                  | 106/5000 [02:05<1:36:45,  1.19s/it, lr: 1.0e-04 loss: 3.328e-02]
lana_lora_wan2.1:   2%|#1                                                  | 107/5000 [02:07<1:37:09,  1.19s/it, lr: 1.0e-04 loss: 7.224e-02]
lana_lora_wan2.1:   2%|#1                                                  | 107/5000 [02:07<1:37:09,  1.19s/it, lr: 1.0e-04 loss: 7.224e-02]
lana_lora_wan2.1:   2%|#1                                                  | 108/5000 [02:08<1:37:01,  1.19s/it, lr: 1.0e-04 loss: 8.283e-02]
lana_lora_wan2.1:   2%|#1                                                  | 108/5000 [02:08<1:37:01,  1.19s/it, lr: 1.0e-04 loss: 8.283e-02]
lana_lora_wan2.1:   2%|#1                                                  | 109/5000 [02:09<1:36:32,  1.18s/it, lr: 1.0e-04 loss: 2.104e-01]
lana_lora_wan2.1:   2%|#1                                                  | 109/5000 [02:09<1:36:32,  1.18s/it, lr: 1.0e-04 loss: 2.104e-01]
lana_lora_wan2.1:   2%|#1                                                  | 110/5000 [02:10<1:36:55,  1.19s/it, lr: 1.0e-04 loss: 3.477e-02]
lana_lora_wan2.1:   2%|#1                                                  | 110/5000 [02:10<1:36:55,  1.19s/it, lr: 1.0e-04 loss: 3.477e-02]
lana_lora_wan2.1:   2%|#1                                                  | 111/5000 [02:12<1:37:18,  1.19s/it, lr: 1.0e-04 loss: 2.764e-01]
lana_lora_wan2.1:   2%|#1                                                  | 111/5000 [02:12<1:37:18,  1.19s/it, lr: 1.0e-04 loss: 2.764e-01]
lana_lora_wan2.1:   2%|#1                                                  | 112/5000 [02:13<1:37:10,  1.19s/it, lr: 1.0e-04 loss: 6.316e-02]
lana_lora_wan2.1:   2%|#1                                                  | 112/5000 [02:13<1:37:10,  1.19s/it, lr: 1.0e-04 loss: 6.316e-02]
lana_lora_wan2.1:   2%|#1                                                  | 113/5000 [02:14<1:37:14,  1.19s/it, lr: 1.0e-04 loss: 4.304e-02]
lana_lora_wan2.1:   2%|#1                                                  | 113/5000 [02:14<1:37:14,  1.19s/it, lr: 1.0e-04 loss: 4.304e-02]
lana_lora_wan2.1:   2%|#1                                                  | 114/5000 [02:15<1:36:46,  1.19s/it, lr: 1.0e-04 loss: 1.460e-01]
lana_lora_wan2.1:   2%|#1                                                  | 114/5000 [02:15<1:36:46,  1.19s/it, lr: 1.0e-04 loss: 1.460e-01]
lana_lora_wan2.1:   2%|#1                                                  | 115/5000 [02:17<1:37:07,  1.19s/it, lr: 1.0e-04 loss: 3.789e-02]
lana_lora_wan2.1:   2%|#1                                                  | 115/5000 [02:17<1:37:07,  1.19s/it, lr: 1.0e-04 loss: 3.789e-02]
lana_lora_wan2.1:   2%|#2                                                  | 116/5000 [02:18<1:37:00,  1.19s/it, lr: 1.0e-04 loss: 5.058e-02]
lana_lora_wan2.1:   2%|#2                                                  | 116/5000 [02:18<1:37:00,  1.19s/it, lr: 1.0e-04 loss: 5.058e-02]
lana_lora_wan2.1:   2%|#2                                                  | 117/5000 [02:18<1:36:33,  1.19s/it, lr: 1.0e-04 loss: 3.442e-02]
lana_lora_wan2.1:   2%|#2                                                  | 117/5000 [02:18<1:36:33,  1.19s/it, lr: 1.0e-04 loss: 3.442e-02]
lana_lora_wan2.1:   2%|#2                                                  | 118/5000 [02:19<1:36:25,  1.19s/it, lr: 1.0e-04 loss: 3.624e-02]
lana_lora_wan2.1:   2%|#2                                                  | 118/5000 [02:19<1:36:25,  1.19s/it, lr: 1.0e-04 loss: 3.624e-02]
lana_lora_wan2.1:   2%|#2                                                  | 119/5000 [02:21<1:36:46,  1.19s/it, lr: 1.0e-04 loss: 6.189e-02]
lana_lora_wan2.1:   2%|#2                                                  | 119/5000 [02:21<1:36:46,  1.19s/it, lr: 1.0e-04 loss: 6.189e-02]
lana_lora_wan2.1:   2%|#2                                                  | 120/5000 [02:22<1:36:39,  1.19s/it, lr: 1.0e-04 loss: 6.675e-02]
lana_lora_wan2.1:   2%|#2                                                  | 120/5000 [02:22<1:36:39,  1.19s/it, lr: 1.0e-04 loss: 6.675e-02]
lana_lora_wan2.1:   2%|#2                                                  | 121/5000 [02:23<1:36:14,  1.18s/it, lr: 1.0e-04 loss: 1.127e-01]
lana_lora_wan2.1:   2%|#2                                                  | 121/5000 [02:23<1:36:14,  1.18s/it, lr: 1.0e-04 loss: 1.127e-01]
lana_lora_wan2.1:   2%|#2                                                  | 122/5000 [02:24<1:36:07,  1.18s/it, lr: 1.0e-04 loss: 3.165e-02]
lana_lora_wan2.1:   2%|#2                                                  | 122/5000 [02:24<1:36:07,  1.18s/it, lr: 1.0e-04 loss: 3.165e-02]
lana_lora_wan2.1:   2%|#2                                                  | 123/5000 [02:25<1:36:00,  1.18s/it, lr: 1.0e-04 loss: 6.290e-02]
lana_lora_wan2.1:   2%|#2                                                  | 123/5000 [02:25<1:36:00,  1.18s/it, lr: 1.0e-04 loss: 6.290e-02]
lana_lora_wan2.1:   2%|#2                                                  | 124/5000 [02:26<1:35:54,  1.18s/it, lr: 1.0e-04 loss: 7.849e-02]
lana_lora_wan2.1:   2%|#2                                                  | 124/5000 [02:26<1:35:54,  1.18s/it, lr: 1.0e-04 loss: 7.849e-02]
lana_lora_wan2.1:   2%|#3                                                  | 125/5000 [02:27<1:35:47,  1.18s/it, lr: 1.0e-04 loss: 5.413e-02]
lana_lora_wan2.1:   2%|#3                                                  | 125/5000 [02:27<1:35:47,  1.18s/it, lr: 1.0e-04 loss: 5.413e-02]
lana_lora_wan2.1:   3%|#3                                                  | 126/5000 [02:29<1:36:07,  1.18s/it, lr: 1.0e-04 loss: 2.013e-01]
lana_lora_wan2.1:   3%|#3                                                  | 126/5000 [02:29<1:36:07,  1.18s/it, lr: 1.0e-04 loss: 2.013e-01]
lana_lora_wan2.1:   3%|#3                                                  | 127/5000 [02:30<1:36:00,  1.18s/it, lr: 1.0e-04 loss: 4.310e-02]
lana_lora_wan2.1:   3%|#3                                                  | 127/5000 [02:30<1:36:00,  1.18s/it, lr: 1.0e-04 loss: 4.310e-02]
lana_lora_wan2.1:   3%|#3                                                  | 128/5000 [02:31<1:36:19,  1.19s/it, lr: 1.0e-04 loss: 5.124e-02]
lana_lora_wan2.1:   3%|#3                                                  | 128/5000 [02:31<1:36:19,  1.19s/it, lr: 1.0e-04 loss: 5.124e-02]
lana_lora_wan2.1:   3%|#3                                                  | 129/5000 [02:32<1:36:13,  1.19s/it, lr: 1.0e-04 loss: 7.803e-02]
lana_lora_wan2.1:   3%|#3                                                  | 129/5000 [02:32<1:36:13,  1.19s/it, lr: 1.0e-04 loss: 7.803e-02]
lana_lora_wan2.1:   3%|#3                                                  | 130/5000 [02:33<1:35:48,  1.18s/it, lr: 1.0e-04 loss: 4.302e-02]
lana_lora_wan2.1:   3%|#3                                                  | 130/5000 [02:33<1:35:48,  1.18s/it, lr: 1.0e-04 loss: 4.302e-02]
lana_lora_wan2.1:   3%|#3                                                  | 131/5000 [02:34<1:35:24,  1.18s/it, lr: 1.0e-04 loss: 6.277e-02]
lana_lora_wan2.1:   3%|#3                                                  | 131/5000 [02:34<1:35:24,  1.18s/it, lr: 1.0e-04 loss: 6.277e-02]
lana_lora_wan2.1:   3%|#3                                                  | 132/5000 [02:34<1:35:01,  1.17s/it, lr: 1.0e-04 loss: 1.857e-01]
lana_lora_wan2.1:   3%|#3                                                  | 132/5000 [02:34<1:35:01,  1.17s/it, lr: 1.0e-04 loss: 1.857e-01]
lana_lora_wan2.1:   3%|#3                                                  | 133/5000 [02:35<1:34:38,  1.17s/it, lr: 1.0e-04 loss: 3.322e-02]
lana_lora_wan2.1:   3%|#3                                                  | 133/5000 [02:35<1:34:38,  1.17s/it, lr: 1.0e-04 loss: 3.322e-02]
lana_lora_wan2.1:   3%|#3                                                  | 134/5000 [02:35<1:34:15,  1.16s/it, lr: 1.0e-04 loss: 6.188e-02]
lana_lora_wan2.1:   3%|#3                                                  | 134/5000 [02:35<1:34:15,  1.16s/it, lr: 1.0e-04 loss: 6.188e-02]
lana_lora_wan2.1:   3%|#4                                                  | 135/5000 [02:36<1:33:53,  1.16s/it, lr: 1.0e-04 loss: 6.222e-02]
lana_lora_wan2.1:   3%|#4                                                  | 135/5000 [02:36<1:33:53,  1.16s/it, lr: 1.0e-04 loss: 6.222e-02]
lana_lora_wan2.1:   3%|#4                                                  | 136/5000 [02:37<1:33:43,  1.16s/it, lr: 1.0e-04 loss: 3.997e-02]
lana_lora_wan2.1:   3%|#4                                                  | 136/5000 [02:37<1:33:43,  1.16s/it, lr: 1.0e-04 loss: 3.997e-02]
lana_lora_wan2.1:   3%|#4                                                  | 137/5000 [02:38<1:33:38,  1.16s/it, lr: 1.0e-04 loss: 4.718e-02]
lana_lora_wan2.1:   3%|#4                                                  | 137/5000 [02:38<1:33:38,  1.16s/it, lr: 1.0e-04 loss: 4.718e-02]
lana_lora_wan2.1:   3%|#4                                                  | 138/5000 [02:39<1:33:56,  1.16s/it, lr: 1.0e-04 loss: 2.916e-02]
lana_lora_wan2.1:   3%|#4                                                  | 138/5000 [02:39<1:33:56,  1.16s/it, lr: 1.0e-04 loss: 2.916e-02]
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lana_lora_wan2.1:   3%|#4                                                  | 140/5000 [02:41<1:33:14,  1.15s/it, lr: 1.0e-04 loss: 2.369e-01]
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lana_lora_wan2.1:   3%|#4                                                  | 142/5000 [02:43<1:33:11,  1.15s/it, lr: 1.0e-04 loss: 1.210e-01]
lana_lora_wan2.1:   3%|#4                                                  | 143/5000 [02:44<1:32:51,  1.15s/it, lr: 1.0e-04 loss: 3.579e-02]
lana_lora_wan2.1:   3%|#4                                                  | 143/5000 [02:44<1:32:51,  1.15s/it, lr: 1.0e-04 loss: 3.579e-02]
lana_lora_wan2.1:   3%|#4                                                  | 144/5000 [02:45<1:33:09,  1.15s/it, lr: 1.0e-04 loss: 2.583e-02]
lana_lora_wan2.1:   3%|#4                                                  | 144/5000 [02:45<1:33:09,  1.15s/it, lr: 1.0e-04 loss: 2.583e-02]
lana_lora_wan2.1:   3%|#5                                                  | 145/5000 [02:46<1:33:04,  1.15s/it, lr: 1.0e-04 loss: 6.548e-02]
lana_lora_wan2.1:   3%|#5                                                  | 145/5000 [02:46<1:33:04,  1.15s/it, lr: 1.0e-04 loss: 6.548e-02]
lana_lora_wan2.1:   3%|#5                                                  | 146/5000 [02:47<1:32:44,  1.15s/it, lr: 1.0e-04 loss: 8.177e-02]
lana_lora_wan2.1:   3%|#5                                                  | 146/5000 [02:47<1:32:44,  1.15s/it, lr: 1.0e-04 loss: 8.177e-02]
lana_lora_wan2.1:   3%|#5                                                  | 147/5000 [02:49<1:33:12,  1.15s/it, lr: 1.0e-04 loss: 4.670e-02]
lana_lora_wan2.1:   3%|#5                                                  | 147/5000 [02:49<1:33:12,  1.15s/it, lr: 1.0e-04 loss: 4.670e-02]
lana_lora_wan2.1:   3%|#5                                                  | 148/5000 [02:49<1:32:52,  1.15s/it, lr: 1.0e-04 loss: 5.211e-02]
lana_lora_wan2.1:   3%|#5                                                  | 148/5000 [02:49<1:32:52,  1.15s/it, lr: 1.0e-04 loss: 5.211e-02]
lana_lora_wan2.1:   3%|#5                                                  | 149/5000 [02:50<1:32:33,  1.14s/it, lr: 1.0e-04 loss: 3.667e-02]
lana_lora_wan2.1:   3%|#5                                                  | 149/5000 [02:50<1:32:33,  1.14s/it, lr: 1.0e-04 loss: 3.667e-02]
lana_lora_wan2.1:   3%|#5                                                  | 150/5000 [02:51<1:32:13,  1.14s/it, lr: 1.0e-04 loss: 5.171e-02]
lana_lora_wan2.1:   3%|#5                                                  | 150/5000 [02:51<1:32:13,  1.14s/it, lr: 1.0e-04 loss: 5.171e-02]
lana_lora_wan2.1:   3%|#5                                                  | 151/5000 [02:52<1:32:31,  1.14s/it, lr: 1.0e-04 loss: 1.004e-01]
lana_lora_wan2.1:   3%|#5                                                  | 151/5000 [02:52<1:32:31,  1.14s/it, lr: 1.0e-04 loss: 1.004e-01]
lana_lora_wan2.1:   3%|#5                                                  | 152/5000 [02:53<1:32:12,  1.14s/it, lr: 1.0e-04 loss: 6.699e-02]
lana_lora_wan2.1:   3%|#5                                                  | 152/5000 [02:53<1:32:12,  1.14s/it, lr: 1.0e-04 loss: 6.699e-02]
lana_lora_wan2.1:   3%|#5                                                  | 153/5000 [02:55<1:32:30,  1.15s/it, lr: 1.0e-04 loss: 1.063e-01]
lana_lora_wan2.1:   3%|#5                                                  | 153/5000 [02:55<1:32:30,  1.15s/it, lr: 1.0e-04 loss: 1.063e-01]
lana_lora_wan2.1:   3%|#6                                                  | 154/5000 [02:56<1:32:47,  1.15s/it, lr: 1.0e-04 loss: 1.155e-01]
lana_lora_wan2.1:   3%|#6                                                  | 154/5000 [02:56<1:32:47,  1.15s/it, lr: 1.0e-04 loss: 1.155e-01]
lana_lora_wan2.1:   3%|#6                                                  | 155/5000 [02:57<1:32:43,  1.15s/it, lr: 1.0e-04 loss: 6.393e-02]
lana_lora_wan2.1:   3%|#6                                                  | 155/5000 [02:57<1:32:43,  1.15s/it, lr: 1.0e-04 loss: 6.393e-02]
lana_lora_wan2.1:   3%|#6                                                  | 156/5000 [02:59<1:32:59,  1.15s/it, lr: 1.0e-04 loss: 5.180e-02]
lana_lora_wan2.1:   3%|#6                                                  | 156/5000 [02:59<1:32:59,  1.15s/it, lr: 1.0e-04 loss: 5.180e-02]
lana_lora_wan2.1:   3%|#6                                                  | 157/5000 [03:00<1:32:40,  1.15s/it, lr: 1.0e-04 loss: 4.027e-02]
lana_lora_wan2.1:   3%|#6                                                  | 157/5000 [03:00<1:32:40,  1.15s/it, lr: 1.0e-04 loss: 4.027e-02]
lana_lora_wan2.1:   3%|#6                                                  | 158/5000 [03:01<1:32:57,  1.15s/it, lr: 1.0e-04 loss: 2.467e-02]
lana_lora_wan2.1:   3%|#6                                                  | 158/5000 [03:01<1:32:57,  1.15s/it, lr: 1.0e-04 loss: 2.467e-02]
lana_lora_wan2.1:   3%|#6                                                  | 159/5000 [03:03<1:33:02,  1.15s/it, lr: 1.0e-04 loss: 9.951e-02]
lana_lora_wan2.1:   3%|#6                                                  | 159/5000 [03:03<1:33:02,  1.15s/it, lr: 1.0e-04 loss: 9.951e-02]
lana_lora_wan2.1:   3%|#6                                                  | 160/5000 [03:04<1:32:57,  1.15s/it, lr: 1.0e-04 loss: 4.720e-02]
lana_lora_wan2.1:   3%|#6                                                  | 160/5000 [03:04<1:32:57,  1.15s/it, lr: 1.0e-04 loss: 4.720e-02]
lana_lora_wan2.1:   3%|#6                                                  | 161/5000 [03:06<1:33:13,  1.16s/it, lr: 1.0e-04 loss: 6.187e-02]
lana_lora_wan2.1:   3%|#6                                                  | 161/5000 [03:06<1:33:13,  1.16s/it, lr: 1.0e-04 loss: 6.187e-02]
lana_lora_wan2.1:   3%|#6                                                  | 162/5000 [03:07<1:33:29,  1.16s/it, lr: 1.0e-04 loss: 4.796e-02]
lana_lora_wan2.1:   3%|#6                                                  | 162/5000 [03:07<1:33:29,  1.16s/it, lr: 1.0e-04 loss: 4.796e-02]
lana_lora_wan2.1:   3%|#6                                                  | 163/5000 [03:08<1:33:24,  1.16s/it, lr: 1.0e-04 loss: 1.155e-01]
lana_lora_wan2.1:   3%|#6                                                  | 163/5000 [03:08<1:33:24,  1.16s/it, lr: 1.0e-04 loss: 1.155e-01]
lana_lora_wan2.1:   3%|#7                                                  | 164/5000 [03:09<1:33:06,  1.16s/it, lr: 1.0e-04 loss: 3.580e-02]
lana_lora_wan2.1:   3%|#7                                                  | 164/5000 [03:09<1:33:06,  1.16s/it, lr: 1.0e-04 loss: 3.580e-02]
lana_lora_wan2.1:   3%|#7                                                  | 165/5000 [03:10<1:33:02,  1.15s/it, lr: 1.0e-04 loss: 2.772e-02]
lana_lora_wan2.1:   3%|#7                                                  | 165/5000 [03:10<1:33:02,  1.15s/it, lr: 1.0e-04 loss: 2.772e-02]
lana_lora_wan2.1:   3%|#7                                                  | 166/5000 [03:11<1:32:44,  1.15s/it, lr: 1.0e-04 loss: 1.188e-01]
lana_lora_wan2.1:   3%|#7                                                  | 166/5000 [03:11<1:32:44,  1.15s/it, lr: 1.0e-04 loss: 1.188e-01]
lana_lora_wan2.1:   3%|#7                                                  | 167/5000 [03:12<1:32:59,  1.15s/it, lr: 1.0e-04 loss: 1.668e-02]
lana_lora_wan2.1:   3%|#7                                                  | 167/5000 [03:12<1:32:59,  1.15s/it, lr: 1.0e-04 loss: 1.668e-02]
lana_lora_wan2.1:   3%|#7                                                  | 168/5000 [03:14<1:33:14,  1.16s/it, lr: 1.0e-04 loss: 3.749e-02]
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lana_lora_wan2.1:   3%|#7                                                  | 169/5000 [03:15<1:33:10,  1.16s/it, lr: 1.0e-04 loss: 3.495e-02]
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lana_lora_wan2.1:   3%|#8                                                  | 174/5000 [03:20<1:32:31,  1.15s/it, lr: 1.0e-04 loss: 8.663e-02]
lana_lora_wan2.1:   3%|#8                                                  | 174/5000 [03:20<1:32:31,  1.15s/it, lr: 1.0e-04 loss: 8.663e-02]
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lana_lora_wan2.1:   4%|#8                                                  | 175/5000 [03:21<1:32:45,  1.15s/it, lr: 1.0e-04 loss: 8.238e-02]
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lana_lora_wan2.1:   4%|#9                                                  | 183/5000 [03:30<1:32:27,  1.15s/it, lr: 1.0e-04 loss: 8.093e-02]
lana_lora_wan2.1:   4%|#9                                                  | 183/5000 [03:30<1:32:27,  1.15s/it, lr: 1.0e-04 loss: 8.093e-02]
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lana_lora_wan2.1:   4%|#9                                                  | 192/5000 [03:44<1:33:48,  1.17s/it, lr: 1.0e-04 loss: 2.455e-02]
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lana_lora_wan2.1:   4%|##                                                  | 193/5000 [03:46<1:34:01,  1.17s/it, lr: 1.0e-04 loss: 1.113e-01]
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lana_lora_wan2.1:   4%|##3                                                 | 222/5000 [04:20<1:33:20,  1.17s/it, lr: 1.0e-04 loss: 5.945e-02]
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lana_lora_wan2.1:   5%|##5                                                 | 244/5000 [04:48<1:33:41,  1.18s/it, lr: 1.0e-04 loss: 6.681e-02]
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lana_lora_wan2.1:   5%|##5                                                 | 245/5000 [04:50<1:33:50,  1.18s/it, lr: 1.0e-04 loss: 5.802e-02]
lana_lora_wan2.1:   5%|##5                                                 | 245/5000 [04:50<1:33:50,  1.18s/it, lr: 1.0e-04 loss: 5.802e-02]
lana_lora_wan2.1:   5%|##5                                                 | 246/5000 [04:51<1:33:59,  1.19s/it, lr: 1.0e-04 loss: 2.479e-02]
lana_lora_wan2.1:   5%|##5                                                 | 246/5000 [04:51<1:33:59,  1.19s/it, lr: 1.0e-04 loss: 2.479e-02]
lana_lora_wan2.1:   5%|##5                                                 | 247/5000 [04:52<1:33:55,  1.19s/it, lr: 1.0e-04 loss: 8.505e-02]
lana_lora_wan2.1:   5%|##5                                                 | 247/5000 [04:52<1:33:55,  1.19s/it, lr: 1.0e-04 loss: 8.505e-02]
lana_lora_wan2.1:   5%|##5                                                 | 248/5000 [04:53<1:33:42,  1.18s/it, lr: 1.0e-04 loss: 1.256e-01]
lana_lora_wan2.1:   5%|##5                                                 | 248/5000 [04:53<1:33:42,  1.18s/it, lr: 1.0e-04 loss: 1.256e-01]
lana_lora_wan2.1:   5%|##5                                                 | 249/5000 [04:55<1:33:51,  1.19s/it, lr: 1.0e-04 loss: 1.951e-01]
lana_lora_wan2.1:   5%|##5                                                 | 249/5000 [04:55<1:33:51,  1.19s/it, lr: 1.0e-04 loss: 1.951e-01]
Saving at step 250
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000250.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt



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lana_lora_wan2.1:   5%|##6                                                 | 250/5000 [04:56<1:33:46,  1.18s/it, lr: 1.0e-04 loss: 9.228e-02]
lana_lora_wan2.1:   5%|##6                                                 | 250/5000 [04:56<1:33:46,  1.18s/it, lr: 1.0e-04 loss: 9.228e-02]
lana_lora_wan2.1:   5%|##6                                                 | 251/5000 [04:56<1:33:33,  1.18s/it, lr: 1.0e-04 loss: 4.663e-02]
lana_lora_wan2.1:   5%|##6                                                 | 251/5000 [04:56<1:33:33,  1.18s/it, lr: 1.0e-04 loss: 4.663e-02]
lana_lora_wan2.1:   5%|##6                                                 | 252/5000 [04:58<1:33:42,  1.18s/it, lr: 1.0e-04 loss: 1.551e-01]
lana_lora_wan2.1:   5%|##6                                                 | 252/5000 [04:58<1:33:42,  1.18s/it, lr: 1.0e-04 loss: 1.551e-01]
lana_lora_wan2.1:   5%|##6                                                 | 253/5000 [04:59<1:33:30,  1.18s/it, lr: 1.0e-04 loss: 4.923e-02]
lana_lora_wan2.1:   5%|##6                                                 | 253/5000 [04:59<1:33:30,  1.18s/it, lr: 1.0e-04 loss: 4.923e-02]
lana_lora_wan2.1:   5%|##6                                                 | 254/5000 [04:59<1:33:17,  1.18s/it, lr: 1.0e-04 loss: 5.110e-02]
lana_lora_wan2.1:   5%|##6                                                 | 254/5000 [04:59<1:33:17,  1.18s/it, lr: 1.0e-04 loss: 5.110e-02]
lana_lora_wan2.1:   5%|##6                                                 | 255/5000 [05:00<1:33:05,  1.18s/it, lr: 1.0e-04 loss: 5.840e-02]
lana_lora_wan2.1:   5%|##6                                                 | 255/5000 [05:00<1:33:05,  1.18s/it, lr: 1.0e-04 loss: 5.840e-02]
lana_lora_wan2.1:   5%|##6                                                 | 256/5000 [05:01<1:33:01,  1.18s/it, lr: 1.0e-04 loss: 3.015e-02]
lana_lora_wan2.1:   5%|##6                                                 | 256/5000 [05:01<1:33:01,  1.18s/it, lr: 1.0e-04 loss: 3.015e-02]
lana_lora_wan2.1:   5%|##6                                                 | 257/5000 [05:02<1:33:10,  1.18s/it, lr: 1.0e-04 loss: 7.384e-02]
lana_lora_wan2.1:   5%|##6                                                 | 257/5000 [05:02<1:33:10,  1.18s/it, lr: 1.0e-04 loss: 7.384e-02]
lana_lora_wan2.1:   5%|##6                                                 | 258/5000 [05:04<1:33:19,  1.18s/it, lr: 1.0e-04 loss: 3.826e-02]
lana_lora_wan2.1:   5%|##6                                                 | 258/5000 [05:04<1:33:19,  1.18s/it, lr: 1.0e-04 loss: 3.826e-02]
lana_lora_wan2.1:   5%|##6                                                 | 259/5000 [05:05<1:33:15,  1.18s/it, lr: 1.0e-04 loss: 5.334e-02]
lana_lora_wan2.1:   5%|##6                                                 | 259/5000 [05:05<1:33:15,  1.18s/it, lr: 1.0e-04 loss: 5.334e-02]
lana_lora_wan2.1:   5%|##7                                                 | 260/5000 [05:07<1:33:24,  1.18s/it, lr: 1.0e-04 loss: 1.146e-01]
lana_lora_wan2.1:   5%|##7                                                 | 260/5000 [05:07<1:33:24,  1.18s/it, lr: 1.0e-04 loss: 1.146e-01]
lana_lora_wan2.1:   5%|##7                                                 | 261/5000 [05:08<1:33:18,  1.18s/it, lr: 1.0e-04 loss: 1.214e-01]
lana_lora_wan2.1:   5%|##7                                                 | 261/5000 [05:08<1:33:18,  1.18s/it, lr: 1.0e-04 loss: 1.214e-01]
lana_lora_wan2.1:   5%|##7                                                 | 262/5000 [05:08<1:33:06,  1.18s/it, lr: 1.0e-04 loss: 6.607e-02]
lana_lora_wan2.1:   5%|##7                                                 | 262/5000 [05:08<1:33:06,  1.18s/it, lr: 1.0e-04 loss: 6.607e-02]
lana_lora_wan2.1:   5%|##7                                                 | 263/5000 [05:09<1:33:02,  1.18s/it, lr: 1.0e-04 loss: 4.907e-02]
lana_lora_wan2.1:   5%|##7                                                 | 263/5000 [05:09<1:33:02,  1.18s/it, lr: 1.0e-04 loss: 4.907e-02]
lana_lora_wan2.1:   5%|##7                                                 | 264/5000 [05:11<1:33:10,  1.18s/it, lr: 1.0e-04 loss: 4.654e-02]
lana_lora_wan2.1:   5%|##7                                                 | 264/5000 [05:11<1:33:10,  1.18s/it, lr: 1.0e-04 loss: 4.654e-02]
lana_lora_wan2.1:   5%|##7                                                 | 265/5000 [05:13<1:33:19,  1.18s/it, lr: 1.0e-04 loss: 7.208e-02]
lana_lora_wan2.1:   5%|##7                                                 | 265/5000 [05:13<1:33:19,  1.18s/it, lr: 1.0e-04 loss: 7.208e-02]
lana_lora_wan2.1:   5%|##7                                                 | 266/5000 [05:13<1:33:07,  1.18s/it, lr: 1.0e-04 loss: 4.853e-01]
lana_lora_wan2.1:   5%|##7                                                 | 266/5000 [05:13<1:33:07,  1.18s/it, lr: 1.0e-04 loss: 4.853e-01]
lana_lora_wan2.1:   5%|##7                                                 | 267/5000 [05:15<1:33:16,  1.18s/it, lr: 1.0e-04 loss: 8.585e-02]
lana_lora_wan2.1:   5%|##7                                                 | 267/5000 [05:15<1:33:16,  1.18s/it, lr: 1.0e-04 loss: 8.585e-02]
lana_lora_wan2.1:   5%|##7                                                 | 268/5000 [05:16<1:33:12,  1.18s/it, lr: 1.0e-04 loss: 7.724e-02]
lana_lora_wan2.1:   5%|##7                                                 | 268/5000 [05:16<1:33:12,  1.18s/it, lr: 1.0e-04 loss: 7.724e-02]
lana_lora_wan2.1:   5%|##7                                                 | 269/5000 [05:17<1:33:00,  1.18s/it, lr: 1.0e-04 loss: 5.144e-02]
lana_lora_wan2.1:   5%|##7                                                 | 269/5000 [05:17<1:33:00,  1.18s/it, lr: 1.0e-04 loss: 5.144e-02]
lana_lora_wan2.1:   5%|##8                                                 | 270/5000 [05:19<1:33:08,  1.18s/it, lr: 1.0e-04 loss: 7.716e-02]
lana_lora_wan2.1:   5%|##8                                                 | 270/5000 [05:19<1:33:08,  1.18s/it, lr: 1.0e-04 loss: 7.716e-02]
lana_lora_wan2.1:   5%|##8                                                 | 271/5000 [05:19<1:32:57,  1.18s/it, lr: 1.0e-04 loss: 4.452e-02]
lana_lora_wan2.1:   5%|##8                                                 | 271/5000 [05:19<1:32:57,  1.18s/it, lr: 1.0e-04 loss: 4.452e-02]
lana_lora_wan2.1:   5%|##8                                                 | 272/5000 [05:20<1:32:53,  1.18s/it, lr: 1.0e-04 loss: 3.002e-02]
lana_lora_wan2.1:   5%|##8                                                 | 272/5000 [05:20<1:32:53,  1.18s/it, lr: 1.0e-04 loss: 3.002e-02]
lana_lora_wan2.1:   5%|##8                                                 | 273/5000 [05:21<1:32:47,  1.18s/it, lr: 1.0e-04 loss: 6.095e-02]
lana_lora_wan2.1:   5%|##8                                                 | 273/5000 [05:21<1:32:47,  1.18s/it, lr: 1.0e-04 loss: 6.095e-02]
lana_lora_wan2.1:   5%|##8                                                 | 274/5000 [05:22<1:32:44,  1.18s/it, lr: 1.0e-04 loss: 4.638e-02]
lana_lora_wan2.1:   5%|##8                                                 | 274/5000 [05:22<1:32:44,  1.18s/it, lr: 1.0e-04 loss: 4.638e-02]
lana_lora_wan2.1:   6%|##8                                                 | 275/5000 [05:24<1:32:52,  1.18s/it, lr: 1.0e-04 loss: 1.084e-01]
lana_lora_wan2.1:   6%|##8                                                 | 275/5000 [05:24<1:32:52,  1.18s/it, lr: 1.0e-04 loss: 1.084e-01]
lana_lora_wan2.1:   6%|##8                                                 | 276/5000 [05:26<1:33:01,  1.18s/it, lr: 1.0e-04 loss: 5.374e-02]
lana_lora_wan2.1:   6%|##8                                                 | 276/5000 [05:26<1:33:01,  1.18s/it, lr: 1.0e-04 loss: 5.374e-02]
lana_lora_wan2.1:   6%|##8                                                 | 277/5000 [05:26<1:32:49,  1.18s/it, lr: 1.0e-04 loss: 3.739e-02]
lana_lora_wan2.1:   6%|##8                                                 | 277/5000 [05:26<1:32:49,  1.18s/it, lr: 1.0e-04 loss: 3.739e-02]
lana_lora_wan2.1:   6%|##8                                                 | 278/5000 [05:27<1:32:38,  1.18s/it, lr: 1.0e-04 loss: 8.763e-02]
lana_lora_wan2.1:   6%|##8                                                 | 278/5000 [05:27<1:32:38,  1.18s/it, lr: 1.0e-04 loss: 8.763e-02]
lana_lora_wan2.1:   6%|##9                                                 | 279/5000 [05:27<1:32:26,  1.17s/it, lr: 1.0e-04 loss: 1.160e-01]
lana_lora_wan2.1:   6%|##9                                                 | 279/5000 [05:27<1:32:26,  1.17s/it, lr: 1.0e-04 loss: 1.160e-01]
lana_lora_wan2.1:   6%|##9                                                 | 280/5000 [05:28<1:32:23,  1.17s/it, lr: 1.0e-04 loss: 1.520e-01]
lana_lora_wan2.1:   6%|##9                                                 | 280/5000 [05:28<1:32:23,  1.17s/it, lr: 1.0e-04 loss: 1.520e-01]
lana_lora_wan2.1:   6%|##9                                                 | 281/5000 [05:30<1:32:31,  1.18s/it, lr: 1.0e-04 loss: 1.061e-01]
lana_lora_wan2.1:   6%|##9                                                 | 281/5000 [05:30<1:32:31,  1.18s/it, lr: 1.0e-04 loss: 1.061e-01]
lana_lora_wan2.1:   6%|##9                                                 | 282/5000 [05:31<1:32:20,  1.17s/it, lr: 1.0e-04 loss: 2.514e-01]
lana_lora_wan2.1:   6%|##9                                                 | 282/5000 [05:31<1:32:20,  1.17s/it, lr: 1.0e-04 loss: 2.514e-01]
lana_lora_wan2.1:   6%|##9                                                 | 283/5000 [05:32<1:32:28,  1.18s/it, lr: 1.0e-04 loss: 5.145e-02]
lana_lora_wan2.1:   6%|##9                                                 | 283/5000 [05:32<1:32:28,  1.18s/it, lr: 1.0e-04 loss: 5.145e-02]
lana_lora_wan2.1:   6%|##9                                                 | 284/5000 [05:34<1:32:28,  1.18s/it, lr: 1.0e-04 loss: 6.712e-02]
lana_lora_wan2.1:   6%|##9                                                 | 284/5000 [05:34<1:32:28,  1.18s/it, lr: 1.0e-04 loss: 6.712e-02]
lana_lora_wan2.1:   6%|##9                                                 | 285/5000 [05:34<1:32:17,  1.17s/it, lr: 1.0e-04 loss: 5.261e-02]
lana_lora_wan2.1:   6%|##9                                                 | 285/5000 [05:34<1:32:17,  1.17s/it, lr: 1.0e-04 loss: 5.261e-02]
lana_lora_wan2.1:   6%|##9                                                 | 286/5000 [05:35<1:32:14,  1.17s/it, lr: 1.0e-04 loss: 1.123e-01]
lana_lora_wan2.1:   6%|##9                                                 | 286/5000 [05:35<1:32:14,  1.17s/it, lr: 1.0e-04 loss: 1.123e-01]
lana_lora_wan2.1:   6%|##9                                                 | 287/5000 [05:36<1:32:03,  1.17s/it, lr: 1.0e-04 loss: 4.241e-02]
lana_lora_wan2.1:   6%|##9                                                 | 287/5000 [05:36<1:32:03,  1.17s/it, lr: 1.0e-04 loss: 4.241e-02]
lana_lora_wan2.1:   6%|##9                                                 | 288/5000 [05:37<1:31:59,  1.17s/it, lr: 1.0e-04 loss: 7.449e-02]
lana_lora_wan2.1:   6%|##9                                                 | 288/5000 [05:37<1:31:59,  1.17s/it, lr: 1.0e-04 loss: 7.449e-02]
lana_lora_wan2.1:   6%|###                                                 | 289/5000 [05:37<1:31:49,  1.17s/it, lr: 1.0e-04 loss: 5.772e-02]
lana_lora_wan2.1:   6%|###                                                 | 289/5000 [05:37<1:31:49,  1.17s/it, lr: 1.0e-04 loss: 5.772e-02]
lana_lora_wan2.1:   6%|###                                                 | 290/5000 [05:39<1:31:46,  1.17s/it, lr: 1.0e-04 loss: 3.142e-02]
lana_lora_wan2.1:   6%|###                                                 | 290/5000 [05:39<1:31:46,  1.17s/it, lr: 1.0e-04 loss: 3.142e-02]
lana_lora_wan2.1:   6%|###                                                 | 291/5000 [05:39<1:31:35,  1.17s/it, lr: 1.0e-04 loss: 3.113e-02]
lana_lora_wan2.1:   6%|###                                                 | 291/5000 [05:39<1:31:35,  1.17s/it, lr: 1.0e-04 loss: 3.113e-02]
lana_lora_wan2.1:   6%|###                                                 | 292/5000 [05:40<1:31:24,  1.16s/it, lr: 1.0e-04 loss: 3.124e-02]
lana_lora_wan2.1:   6%|###                                                 | 292/5000 [05:40<1:31:24,  1.16s/it, lr: 1.0e-04 loss: 3.124e-02]
lana_lora_wan2.1:   6%|###                                                 | 293/5000 [05:41<1:31:32,  1.17s/it, lr: 1.0e-04 loss: 5.054e-01]
lana_lora_wan2.1:   6%|###                                                 | 293/5000 [05:41<1:31:32,  1.17s/it, lr: 1.0e-04 loss: 5.054e-01]
lana_lora_wan2.1:   6%|###                                                 | 294/5000 [05:42<1:31:28,  1.17s/it, lr: 1.0e-04 loss: 5.026e-02]
lana_lora_wan2.1:   6%|###                                                 | 294/5000 [05:42<1:31:28,  1.17s/it, lr: 1.0e-04 loss: 5.026e-02]
lana_lora_wan2.1:   6%|###                                                 | 295/5000 [05:44<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 7.228e-02]
lana_lora_wan2.1:   6%|###                                                 | 295/5000 [05:44<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 7.228e-02]
lana_lora_wan2.1:   6%|###                                                 | 296/5000 [05:45<1:31:37,  1.17s/it, lr: 1.0e-04 loss: 3.654e-02]
lana_lora_wan2.1:   6%|###                                                 | 296/5000 [05:45<1:31:37,  1.17s/it, lr: 1.0e-04 loss: 3.654e-02]
lana_lora_wan2.1:   6%|###                                                 | 297/5000 [05:46<1:31:34,  1.17s/it, lr: 1.0e-04 loss: 1.416e-01]
lana_lora_wan2.1:   6%|###                                                 | 297/5000 [05:46<1:31:34,  1.17s/it, lr: 1.0e-04 loss: 1.416e-01]
lana_lora_wan2.1:   6%|###                                                 | 298/5000 [05:48<1:31:42,  1.17s/it, lr: 1.0e-04 loss: 4.423e-02]
lana_lora_wan2.1:   6%|###                                                 | 298/5000 [05:48<1:31:42,  1.17s/it, lr: 1.0e-04 loss: 4.423e-02]
lana_lora_wan2.1:   6%|###1                                                | 299/5000 [05:49<1:31:38,  1.17s/it, lr: 1.0e-04 loss: 2.333e-01]
lana_lora_wan2.1:   6%|###1                                                | 299/5000 [05:49<1:31:38,  1.17s/it, lr: 1.0e-04 loss: 2.333e-01]
lana_lora_wan2.1:   6%|###1                                                | 300/5000 [05:50<1:31:28,  1.17s/it, lr: 1.0e-04 loss: 9.862e-02]
lana_lora_wan2.1:   6%|###1                                                | 300/5000 [05:50<1:31:28,  1.17s/it, lr: 1.0e-04 loss: 9.862e-02]
lana_lora_wan2.1:   6%|###1                                                | 301/5000 [05:52<1:31:36,  1.17s/it, lr: 1.0e-04 loss: 4.952e-02]
lana_lora_wan2.1:   6%|###1                                                | 301/5000 [05:52<1:31:36,  1.17s/it, lr: 1.0e-04 loss: 4.952e-02]
lana_lora_wan2.1:   6%|###1                                                | 302/5000 [05:52<1:31:25,  1.17s/it, lr: 1.0e-04 loss: 3.948e-02]
lana_lora_wan2.1:   6%|###1                                                | 302/5000 [05:52<1:31:25,  1.17s/it, lr: 1.0e-04 loss: 3.948e-02]
lana_lora_wan2.1:   6%|###1                                                | 303/5000 [05:53<1:31:22,  1.17s/it, lr: 1.0e-04 loss: 5.754e-02]
lana_lora_wan2.1:   6%|###1                                                | 303/5000 [05:53<1:31:22,  1.17s/it, lr: 1.0e-04 loss: 5.754e-02]
lana_lora_wan2.1:   6%|###1                                                | 304/5000 [05:55<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 6.356e-02]
lana_lora_wan2.1:   6%|###1                                                | 304/5000 [05:55<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 6.356e-02]
lana_lora_wan2.1:   6%|###1                                                | 305/5000 [05:56<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 5.352e-02]
lana_lora_wan2.1:   6%|###1                                                | 305/5000 [05:56<1:31:30,  1.17s/it, lr: 1.0e-04 loss: 5.352e-02]
lana_lora_wan2.1:   6%|###1                                                | 306/5000 [05:57<1:31:27,  1.17s/it, lr: 1.0e-04 loss: 6.308e-02]
lana_lora_wan2.1:   6%|###1                                                | 306/5000 [05:57<1:31:27,  1.17s/it, lr: 1.0e-04 loss: 6.308e-02]
lana_lora_wan2.1:   6%|###1                                                | 307/5000 [05:58<1:31:24,  1.17s/it, lr: 1.0e-04 loss: 3.874e-01]
lana_lora_wan2.1:   6%|###1                                                | 307/5000 [05:58<1:31:24,  1.17s/it, lr: 1.0e-04 loss: 3.874e-01]
lana_lora_wan2.1:   6%|###2                                                | 308/5000 [05:59<1:31:14,  1.17s/it, lr: 1.0e-04 loss: 4.245e-02]
lana_lora_wan2.1:   6%|###2                                                | 308/5000 [05:59<1:31:14,  1.17s/it, lr: 1.0e-04 loss: 4.245e-02]
lana_lora_wan2.1:   6%|###2                                                | 309/5000 [06:01<1:31:21,  1.17s/it, lr: 1.0e-04 loss: 5.738e-02]
lana_lora_wan2.1:   6%|###2                                                | 309/5000 [06:01<1:31:21,  1.17s/it, lr: 1.0e-04 loss: 5.738e-02]
lana_lora_wan2.1:   6%|###2                                                | 310/5000 [06:01<1:31:11,  1.17s/it, lr: 1.0e-04 loss: 1.241e-01]
lana_lora_wan2.1:   6%|###2                                                | 310/5000 [06:01<1:31:11,  1.17s/it, lr: 1.0e-04 loss: 1.241e-01]
lana_lora_wan2.1:   6%|###2                                                | 311/5000 [06:03<1:31:18,  1.17s/it, lr: 1.0e-04 loss: 2.791e-02]
lana_lora_wan2.1:   6%|###2                                                | 311/5000 [06:03<1:31:18,  1.17s/it, lr: 1.0e-04 loss: 2.791e-02]
lana_lora_wan2.1:   6%|###2                                                | 312/5000 [06:05<1:31:25,  1.17s/it, lr: 1.0e-04 loss: 5.653e-02]
lana_lora_wan2.1:   6%|###2                                                | 312/5000 [06:05<1:31:25,  1.17s/it, lr: 1.0e-04 loss: 5.653e-02]
lana_lora_wan2.1:   6%|###2                                                | 313/5000 [06:05<1:31:16,  1.17s/it, lr: 1.0e-04 loss: 3.569e-02]
lana_lora_wan2.1:   6%|###2                                                | 313/5000 [06:05<1:31:16,  1.17s/it, lr: 1.0e-04 loss: 3.569e-02]
lana_lora_wan2.1:   6%|###2                                                | 314/5000 [06:06<1:31:12,  1.17s/it, lr: 1.0e-04 loss: 8.156e-02]
lana_lora_wan2.1:   6%|###2                                                | 314/5000 [06:06<1:31:12,  1.17s/it, lr: 1.0e-04 loss: 8.156e-02]
lana_lora_wan2.1:   6%|###2                                                | 315/5000 [06:07<1:31:02,  1.17s/it, lr: 1.0e-04 loss: 2.135e-01]
lana_lora_wan2.1:   6%|###2                                                | 315/5000 [06:07<1:31:02,  1.17s/it, lr: 1.0e-04 loss: 2.135e-01]
lana_lora_wan2.1:   6%|###2                                                | 316/5000 [06:07<1:30:53,  1.16s/it, lr: 1.0e-04 loss: 9.693e-02]
lana_lora_wan2.1:   6%|###2                                                | 316/5000 [06:07<1:30:53,  1.16s/it, lr: 1.0e-04 loss: 9.693e-02]
lana_lora_wan2.1:   6%|###2                                                | 317/5000 [06:08<1:30:49,  1.16s/it, lr: 1.0e-04 loss: 2.475e-01]
lana_lora_wan2.1:   6%|###2                                                | 317/5000 [06:08<1:30:49,  1.16s/it, lr: 1.0e-04 loss: 2.475e-01]
lana_lora_wan2.1:   6%|###3                                                | 318/5000 [06:10<1:31:00,  1.17s/it, lr: 1.0e-04 loss: 3.057e-02]
lana_lora_wan2.1:   6%|###3                                                | 318/5000 [06:10<1:31:00,  1.17s/it, lr: 1.0e-04 loss: 3.057e-02]
lana_lora_wan2.1:   6%|###3                                                | 319/5000 [06:11<1:30:50,  1.16s/it, lr: 1.0e-04 loss: 3.508e-02]
lana_lora_wan2.1:   6%|###3                                                | 319/5000 [06:11<1:30:50,  1.16s/it, lr: 1.0e-04 loss: 3.508e-02]
lana_lora_wan2.1:   6%|###3                                                | 320/5000 [06:12<1:30:41,  1.16s/it, lr: 1.0e-04 loss: 6.981e-02]
lana_lora_wan2.1:   6%|###3                                                | 320/5000 [06:12<1:30:41,  1.16s/it, lr: 1.0e-04 loss: 6.981e-02]
lana_lora_wan2.1:   6%|###3                                                | 321/5000 [06:13<1:30:48,  1.16s/it, lr: 1.0e-04 loss: 2.968e-02]
lana_lora_wan2.1:   6%|###3                                                | 321/5000 [06:13<1:30:48,  1.16s/it, lr: 1.0e-04 loss: 2.968e-02]
lana_lora_wan2.1:   6%|###3                                                | 322/5000 [06:14<1:30:45,  1.16s/it, lr: 1.0e-04 loss: 2.645e-02]
lana_lora_wan2.1:   6%|###3                                                | 322/5000 [06:14<1:30:45,  1.16s/it, lr: 1.0e-04 loss: 2.645e-02]
lana_lora_wan2.1:   6%|###3                                                | 323/5000 [06:15<1:30:42,  1.16s/it, lr: 1.0e-04 loss: 1.904e-01]
lana_lora_wan2.1:   6%|###3                                                | 323/5000 [06:15<1:30:42,  1.16s/it, lr: 1.0e-04 loss: 1.904e-01]
lana_lora_wan2.1:   6%|###3                                                | 324/5000 [06:16<1:30:32,  1.16s/it, lr: 1.0e-04 loss: 7.673e-02]
lana_lora_wan2.1:   6%|###3                                                | 324/5000 [06:16<1:30:32,  1.16s/it, lr: 1.0e-04 loss: 7.673e-02]
lana_lora_wan2.1:   6%|###3                                                | 325/5000 [06:18<1:30:39,  1.16s/it, lr: 1.0e-04 loss: 3.934e-02]
lana_lora_wan2.1:   6%|###3                                                | 325/5000 [06:18<1:30:39,  1.16s/it, lr: 1.0e-04 loss: 3.934e-02]
lana_lora_wan2.1:   7%|###3                                                | 326/5000 [06:19<1:30:36,  1.16s/it, lr: 1.0e-04 loss: 3.979e-02]
lana_lora_wan2.1:   7%|###3                                                | 326/5000 [06:19<1:30:36,  1.16s/it, lr: 1.0e-04 loss: 3.979e-02]
lana_lora_wan2.1:   7%|###4                                                | 327/5000 [06:19<1:30:26,  1.16s/it, lr: 1.0e-04 loss: 6.418e-02]
lana_lora_wan2.1:   7%|###4                                                | 327/5000 [06:19<1:30:26,  1.16s/it, lr: 1.0e-04 loss: 6.418e-02]
lana_lora_wan2.1:   7%|###4                                                | 328/5000 [06:20<1:30:23,  1.16s/it, lr: 1.0e-04 loss: 4.107e-02]
lana_lora_wan2.1:   7%|###4                                                | 328/5000 [06:20<1:30:23,  1.16s/it, lr: 1.0e-04 loss: 4.107e-02]
lana_lora_wan2.1:   7%|###4                                                | 329/5000 [06:21<1:30:21,  1.16s/it, lr: 1.0e-04 loss: 5.112e-02]
lana_lora_wan2.1:   7%|###4                                                | 329/5000 [06:21<1:30:21,  1.16s/it, lr: 1.0e-04 loss: 5.112e-02]
lana_lora_wan2.1:   7%|###4                                                | 330/5000 [06:23<1:30:28,  1.16s/it, lr: 1.0e-04 loss: 3.855e-02]
lana_lora_wan2.1:   7%|###4                                                | 330/5000 [06:23<1:30:28,  1.16s/it, lr: 1.0e-04 loss: 3.855e-02]
lana_lora_wan2.1:   7%|###4                                                | 331/5000 [06:24<1:30:20,  1.16s/it, lr: 1.0e-04 loss: 7.874e-02]
lana_lora_wan2.1:   7%|###4                                                | 331/5000 [06:24<1:30:20,  1.16s/it, lr: 1.0e-04 loss: 7.874e-02]
lana_lora_wan2.1:   7%|###4                                                | 332/5000 [06:26<1:30:27,  1.16s/it, lr: 1.0e-04 loss: 1.305e-01]
lana_lora_wan2.1:   7%|###4                                                | 332/5000 [06:26<1:30:27,  1.16s/it, lr: 1.0e-04 loss: 1.305e-01]
lana_lora_wan2.1:   7%|###4                                                | 333/5000 [06:27<1:30:24,  1.16s/it, lr: 1.0e-04 loss: 1.360e-01]
lana_lora_wan2.1:   7%|###4                                                | 333/5000 [06:27<1:30:24,  1.16s/it, lr: 1.0e-04 loss: 1.360e-01]
lana_lora_wan2.1:   7%|###4                                                | 334/5000 [06:27<1:30:17,  1.16s/it, lr: 1.0e-04 loss: 5.699e-02]
lana_lora_wan2.1:   7%|###4                                                | 334/5000 [06:27<1:30:17,  1.16s/it, lr: 1.0e-04 loss: 5.699e-02]
lana_lora_wan2.1:   7%|###4                                                | 335/5000 [06:29<1:30:24,  1.16s/it, lr: 1.0e-04 loss: 6.142e-02]
lana_lora_wan2.1:   7%|###4                                                | 335/5000 [06:29<1:30:24,  1.16s/it, lr: 1.0e-04 loss: 6.142e-02]
lana_lora_wan2.1:   7%|###4                                                | 336/5000 [06:31<1:30:31,  1.16s/it, lr: 1.0e-04 loss: 7.111e-02]
lana_lora_wan2.1:   7%|###4                                                | 336/5000 [06:31<1:30:31,  1.16s/it, lr: 1.0e-04 loss: 7.111e-02]
lana_lora_wan2.1:   7%|###5                                                | 337/5000 [06:32<1:30:28,  1.16s/it, lr: 1.0e-04 loss: 9.594e-02]
lana_lora_wan2.1:   7%|###5                                                | 337/5000 [06:32<1:30:28,  1.16s/it, lr: 1.0e-04 loss: 9.594e-02]
lana_lora_wan2.1:   7%|###5                                                | 338/5000 [06:33<1:30:22,  1.16s/it, lr: 1.0e-04 loss: 7.133e-02]
lana_lora_wan2.1:   7%|###5                                                | 338/5000 [06:33<1:30:22,  1.16s/it, lr: 1.0e-04 loss: 7.133e-02]
lana_lora_wan2.1:   7%|###5                                                | 339/5000 [06:33<1:30:15,  1.16s/it, lr: 1.0e-04 loss: 1.185e-01]
lana_lora_wan2.1:   7%|###5                                                | 339/5000 [06:33<1:30:15,  1.16s/it, lr: 1.0e-04 loss: 1.185e-01]
lana_lora_wan2.1:   7%|###5                                                | 340/5000 [06:34<1:30:08,  1.16s/it, lr: 1.0e-04 loss: 3.947e-02]
lana_lora_wan2.1:   7%|###5                                                | 340/5000 [06:34<1:30:08,  1.16s/it, lr: 1.0e-04 loss: 3.947e-02]
lana_lora_wan2.1:   7%|###5                                                | 341/5000 [06:36<1:30:23,  1.16s/it, lr: 1.0e-04 loss: 4.028e-02]
lana_lora_wan2.1:   7%|###5                                                | 341/5000 [06:36<1:30:23,  1.16s/it, lr: 1.0e-04 loss: 4.028e-02]
lana_lora_wan2.1:   7%|###5                                                | 342/5000 [06:37<1:30:15,  1.16s/it, lr: 1.0e-04 loss: 8.623e-02]
lana_lora_wan2.1:   7%|###5                                                | 342/5000 [06:37<1:30:15,  1.16s/it, lr: 1.0e-04 loss: 8.623e-02]
lana_lora_wan2.1:   7%|###5                                                | 343/5000 [06:38<1:30:06,  1.16s/it, lr: 1.0e-04 loss: 1.067e-01]
lana_lora_wan2.1:   7%|###5                                                | 343/5000 [06:38<1:30:06,  1.16s/it, lr: 1.0e-04 loss: 1.067e-01]
lana_lora_wan2.1:   7%|###5                                                | 344/5000 [06:39<1:30:03,  1.16s/it, lr: 1.0e-04 loss: 4.251e-02]
lana_lora_wan2.1:   7%|###5                                                | 344/5000 [06:39<1:30:03,  1.16s/it, lr: 1.0e-04 loss: 4.251e-02]
lana_lora_wan2.1:   7%|###5                                                | 345/5000 [06:39<1:29:54,  1.16s/it, lr: 1.0e-04 loss: 1.140e-01]
lana_lora_wan2.1:   7%|###5                                                | 345/5000 [06:39<1:29:54,  1.16s/it, lr: 1.0e-04 loss: 1.140e-01]
lana_lora_wan2.1:   7%|###5                                                | 346/5000 [06:40<1:29:51,  1.16s/it, lr: 1.0e-04 loss: 5.412e-02]
lana_lora_wan2.1:   7%|###5                                                | 346/5000 [06:40<1:29:51,  1.16s/it, lr: 1.0e-04 loss: 5.412e-02]
lana_lora_wan2.1:   7%|###6                                                | 347/5000 [06:42<1:29:58,  1.16s/it, lr: 1.0e-04 loss: 1.258e-01]
lana_lora_wan2.1:   7%|###6                                                | 347/5000 [06:42<1:29:58,  1.16s/it, lr: 1.0e-04 loss: 1.258e-01]
lana_lora_wan2.1:   7%|###6                                                | 348/5000 [06:43<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 4.821e-02]
lana_lora_wan2.1:   7%|###6                                                | 348/5000 [06:43<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 4.821e-02]
lana_lora_wan2.1:   7%|###6                                                | 349/5000 [06:43<1:29:40,  1.16s/it, lr: 1.0e-04 loss: 8.710e-02]
lana_lora_wan2.1:   7%|###6                                                | 349/5000 [06:43<1:29:40,  1.16s/it, lr: 1.0e-04 loss: 8.710e-02]
lana_lora_wan2.1:   7%|###6                                                | 350/5000 [06:44<1:29:37,  1.16s/it, lr: 1.0e-04 loss: 6.174e-02]
lana_lora_wan2.1:   7%|###6                                                | 350/5000 [06:44<1:29:37,  1.16s/it, lr: 1.0e-04 loss: 6.174e-02]
lana_lora_wan2.1:   7%|###6                                                | 351/5000 [06:46<1:29:44,  1.16s/it, lr: 1.0e-04 loss: 1.915e-01]
lana_lora_wan2.1:   7%|###6                                                | 351/5000 [06:46<1:29:44,  1.16s/it, lr: 1.0e-04 loss: 1.915e-01]
lana_lora_wan2.1:   7%|###6                                                | 352/5000 [06:47<1:29:45,  1.16s/it, lr: 1.0e-04 loss: 2.559e-01]
lana_lora_wan2.1:   7%|###6                                                | 352/5000 [06:47<1:29:45,  1.16s/it, lr: 1.0e-04 loss: 2.559e-01]
lana_lora_wan2.1:   7%|###6                                                | 353/5000 [06:48<1:29:36,  1.16s/it, lr: 1.0e-04 loss: 4.606e-02]
lana_lora_wan2.1:   7%|###6                                                | 353/5000 [06:48<1:29:36,  1.16s/it, lr: 1.0e-04 loss: 4.606e-02]
lana_lora_wan2.1:   7%|###6                                                | 354/5000 [06:50<1:29:42,  1.16s/it, lr: 1.0e-04 loss: 5.074e-02]
lana_lora_wan2.1:   7%|###6                                                | 354/5000 [06:50<1:29:42,  1.16s/it, lr: 1.0e-04 loss: 5.074e-02]
lana_lora_wan2.1:   7%|###6                                                | 355/5000 [06:51<1:29:40,  1.16s/it, lr: 1.0e-04 loss: 3.134e-02]
lana_lora_wan2.1:   7%|###6                                                | 355/5000 [06:51<1:29:40,  1.16s/it, lr: 1.0e-04 loss: 3.134e-02]
lana_lora_wan2.1:   7%|###7                                                | 356/5000 [06:51<1:29:31,  1.16s/it, lr: 1.0e-04 loss: 8.266e-02]
lana_lora_wan2.1:   7%|###7                                                | 356/5000 [06:51<1:29:31,  1.16s/it, lr: 1.0e-04 loss: 8.266e-02]
lana_lora_wan2.1:   7%|###7                                                | 357/5000 [06:53<1:29:37,  1.16s/it, lr: 1.0e-04 loss: 2.466e-02]
lana_lora_wan2.1:   7%|###7                                                | 357/5000 [06:53<1:29:37,  1.16s/it, lr: 1.0e-04 loss: 2.466e-02]
lana_lora_wan2.1:   7%|###7                                                | 358/5000 [06:55<1:29:43,  1.16s/it, lr: 1.0e-04 loss: 1.829e-01]
lana_lora_wan2.1:   7%|###7                                                | 358/5000 [06:55<1:29:43,  1.16s/it, lr: 1.0e-04 loss: 1.829e-01]
lana_lora_wan2.1:   7%|###7                                                | 359/5000 [06:56<1:29:50,  1.16s/it, lr: 1.0e-04 loss: 5.923e-02]
lana_lora_wan2.1:   7%|###7                                                | 359/5000 [06:56<1:29:50,  1.16s/it, lr: 1.0e-04 loss: 5.923e-02]
lana_lora_wan2.1:   7%|###7                                                | 360/5000 [06:57<1:29:47,  1.16s/it, lr: 1.0e-04 loss: 4.035e-02]
lana_lora_wan2.1:   7%|###7                                                | 360/5000 [06:57<1:29:47,  1.16s/it, lr: 1.0e-04 loss: 4.035e-02]
lana_lora_wan2.1:   7%|###7                                                | 361/5000 [06:59<1:29:53,  1.16s/it, lr: 1.0e-04 loss: 6.648e-02]
lana_lora_wan2.1:   7%|###7                                                | 361/5000 [06:59<1:29:53,  1.16s/it, lr: 1.0e-04 loss: 6.648e-02]
lana_lora_wan2.1:   7%|###7                                                | 362/5000 [07:01<1:29:59,  1.16s/it, lr: 1.0e-04 loss: 4.610e-01]
lana_lora_wan2.1:   7%|###7                                                | 362/5000 [07:01<1:29:59,  1.16s/it, lr: 1.0e-04 loss: 4.610e-01]
lana_lora_wan2.1:   7%|###7                                                | 363/5000 [07:02<1:29:59,  1.16s/it, lr: 1.0e-04 loss: 2.125e-01]
lana_lora_wan2.1:   7%|###7                                                | 363/5000 [07:02<1:29:59,  1.16s/it, lr: 1.0e-04 loss: 2.125e-01]
lana_lora_wan2.1:   7%|###7                                                | 364/5000 [07:03<1:29:57,  1.16s/it, lr: 1.0e-04 loss: 7.434e-02]
lana_lora_wan2.1:   7%|###7                                                | 364/5000 [07:03<1:29:57,  1.16s/it, lr: 1.0e-04 loss: 7.434e-02]
lana_lora_wan2.1:   7%|###7                                                | 365/5000 [07:05<1:30:03,  1.17s/it, lr: 1.0e-04 loss: 6.127e-02]
lana_lora_wan2.1:   7%|###7                                                | 365/5000 [07:05<1:30:03,  1.17s/it, lr: 1.0e-04 loss: 6.127e-02]
lana_lora_wan2.1:   7%|###8                                                | 366/5000 [07:06<1:29:54,  1.16s/it, lr: 1.0e-04 loss: 3.450e-02]
lana_lora_wan2.1:   7%|###8                                                | 366/5000 [07:06<1:29:54,  1.16s/it, lr: 1.0e-04 loss: 3.450e-02]
lana_lora_wan2.1:   7%|###8                                                | 367/5000 [07:07<1:29:51,  1.16s/it, lr: 1.0e-04 loss: 4.081e-02]
lana_lora_wan2.1:   7%|###8                                                | 367/5000 [07:07<1:29:51,  1.16s/it, lr: 1.0e-04 loss: 4.081e-02]
lana_lora_wan2.1:   7%|###8                                                | 368/5000 [07:08<1:29:57,  1.17s/it, lr: 1.0e-04 loss: 3.693e-02]
lana_lora_wan2.1:   7%|###8                                                | 368/5000 [07:08<1:29:57,  1.17s/it, lr: 1.0e-04 loss: 3.693e-02]
lana_lora_wan2.1:   7%|###8                                                | 369/5000 [07:09<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 3.533e-02]
lana_lora_wan2.1:   7%|###8                                                | 369/5000 [07:09<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 3.533e-02]
lana_lora_wan2.1:   7%|###8                                                | 370/5000 [07:11<1:29:54,  1.17s/it, lr: 1.0e-04 loss: 2.705e-02]
lana_lora_wan2.1:   7%|###8                                                | 370/5000 [07:11<1:29:54,  1.17s/it, lr: 1.0e-04 loss: 2.705e-02]
lana_lora_wan2.1:   7%|###8                                                | 371/5000 [07:11<1:29:46,  1.16s/it, lr: 1.0e-04 loss: 8.748e-02]
lana_lora_wan2.1:   7%|###8                                                | 371/5000 [07:11<1:29:46,  1.16s/it, lr: 1.0e-04 loss: 8.748e-02]
lana_lora_wan2.1:   7%|###8                                                | 372/5000 [07:12<1:29:43,  1.16s/it, lr: 1.0e-04 loss: 9.643e-02]
lana_lora_wan2.1:   7%|###8                                                | 372/5000 [07:12<1:29:43,  1.16s/it, lr: 1.0e-04 loss: 9.643e-02]
lana_lora_wan2.1:   7%|###8                                                | 373/5000 [07:14<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 2.029e-01]
lana_lora_wan2.1:   7%|###8                                                | 373/5000 [07:14<1:29:49,  1.16s/it, lr: 1.0e-04 loss: 2.029e-01]
lana_lora_wan2.1:   7%|###8                                                | 374/5000 [07:16<1:29:58,  1.17s/it, lr: 1.0e-04 loss: 4.258e-02]
lana_lora_wan2.1:   7%|###8                                                | 374/5000 [07:16<1:29:58,  1.17s/it, lr: 1.0e-04 loss: 4.258e-02]
lana_lora_wan2.1:   8%|###9                                                | 375/5000 [07:18<1:30:03,  1.17s/it, lr: 1.0e-04 loss: 1.024e-01]
lana_lora_wan2.1:   8%|###9                                                | 375/5000 [07:18<1:30:03,  1.17s/it, lr: 1.0e-04 loss: 1.024e-01]
lana_lora_wan2.1:   8%|###9                                                | 376/5000 [07:19<1:30:09,  1.17s/it, lr: 1.0e-04 loss: 1.384e-01]
lana_lora_wan2.1:   8%|###9                                                | 376/5000 [07:19<1:30:09,  1.17s/it, lr: 1.0e-04 loss: 1.384e-01]
lana_lora_wan2.1:   8%|###9                                                | 377/5000 [07:20<1:30:01,  1.17s/it, lr: 1.0e-04 loss: 2.931e-02]
lana_lora_wan2.1:   8%|###9                                                | 377/5000 [07:20<1:30:01,  1.17s/it, lr: 1.0e-04 loss: 2.931e-02]
lana_lora_wan2.1:   8%|###9                                                | 378/5000 [07:21<1:29:58,  1.17s/it, lr: 1.0e-04 loss: 6.143e-02]
lana_lora_wan2.1:   8%|###9                                                | 378/5000 [07:21<1:29:58,  1.17s/it, lr: 1.0e-04 loss: 6.143e-02]
lana_lora_wan2.1:   8%|###9                                                | 379/5000 [07:22<1:29:50,  1.17s/it, lr: 1.0e-04 loss: 1.242e-01]
lana_lora_wan2.1:   8%|###9                                                | 379/5000 [07:22<1:29:50,  1.17s/it, lr: 1.0e-04 loss: 1.242e-01]
lana_lora_wan2.1:   8%|###9                                                | 380/5000 [07:23<1:29:47,  1.17s/it, lr: 1.0e-04 loss: 2.902e-02]
lana_lora_wan2.1:   8%|###9                                                | 380/5000 [07:23<1:29:47,  1.17s/it, lr: 1.0e-04 loss: 2.902e-02]
lana_lora_wan2.1:   8%|###9                                                | 381/5000 [07:24<1:29:44,  1.17s/it, lr: 1.0e-04 loss: 3.382e-02]
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lana_lora_wan2.1:   8%|###9                                                | 382/5000 [07:25<1:29:41,  1.17s/it, lr: 1.0e-04 loss: 4.345e-02]
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lana_lora_wan2.1:   8%|####1                                               | 395/5000 [07:41<1:29:45,  1.17s/it, lr: 1.0e-04 loss: 7.246e-02]
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lana_lora_wan2.1:   8%|####1                                               | 396/5000 [07:43<1:29:43,  1.17s/it, lr: 1.0e-04 loss: 3.803e-02]
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lana_lora_wan2.1:   8%|####1                                               | 397/5000 [07:44<1:29:40,  1.17s/it, lr: 1.0e-04 loss: 3.448e-02]
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lana_lora_wan2.1:   8%|####1                                               | 398/5000 [07:45<1:29:40,  1.17s/it, lr: 1.0e-04 loss: 6.328e-02]
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lana_lora_wan2.1:   8%|####1                                               | 401/5000 [07:49<1:29:40,  1.17s/it, lr: 1.0e-04 loss: 6.358e-02]
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lana_lora_wan2.1:   8%|####1                                               | 403/5000 [07:51<1:29:42,  1.17s/it, lr: 1.0e-04 loss: 4.381e-02]
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lana_lora_wan2.1:   8%|####2                                               | 404/5000 [07:53<1:29:48,  1.17s/it, lr: 1.0e-04 loss: 3.263e-01]
lana_lora_wan2.1:   8%|####2                                               | 404/5000 [07:53<1:29:48,  1.17s/it, lr: 1.0e-04 loss: 3.263e-01]
lana_lora_wan2.1:   8%|####2                                               | 405/5000 [07:55<1:29:53,  1.17s/it, lr: 1.0e-04 loss: 3.587e-02]
lana_lora_wan2.1:   8%|####2                                               | 405/5000 [07:55<1:29:53,  1.17s/it, lr: 1.0e-04 loss: 3.587e-02]
lana_lora_wan2.1:   8%|####2                                               | 406/5000 [07:55<1:29:45,  1.17s/it, lr: 1.0e-04 loss: 4.092e-02]
lana_lora_wan2.1:   8%|####2                                               | 406/5000 [07:55<1:29:45,  1.17s/it, lr: 1.0e-04 loss: 4.092e-02]
lana_lora_wan2.1:   8%|####2                                               | 407/5000 [07:56<1:29:42,  1.17s/it, lr: 1.0e-04 loss: 3.899e-01]
lana_lora_wan2.1:   8%|####2                                               | 407/5000 [07:56<1:29:42,  1.17s/it, lr: 1.0e-04 loss: 3.899e-01]
lana_lora_wan2.1:   8%|####2                                               | 408/5000 [07:57<1:29:34,  1.17s/it, lr: 1.0e-04 loss: 6.686e-02]
lana_lora_wan2.1:   8%|####2                                               | 408/5000 [07:57<1:29:34,  1.17s/it, lr: 1.0e-04 loss: 6.686e-02]
lana_lora_wan2.1:   8%|####2                                               | 409/5000 [07:59<1:29:39,  1.17s/it, lr: 1.0e-04 loss: 4.203e-02]
lana_lora_wan2.1:   8%|####2                                               | 409/5000 [07:59<1:29:39,  1.17s/it, lr: 1.0e-04 loss: 4.203e-02]
lana_lora_wan2.1:   8%|####2                                               | 410/5000 [08:00<1:29:35,  1.17s/it, lr: 1.0e-04 loss: 2.050e-01]
lana_lora_wan2.1:   8%|####2                                               | 410/5000 [08:00<1:29:35,  1.17s/it, lr: 1.0e-04 loss: 2.050e-01]
lana_lora_wan2.1:   8%|####2                                               | 411/5000 [08:01<1:29:32,  1.17s/it, lr: 1.0e-04 loss: 3.682e-02]
lana_lora_wan2.1:   8%|####2                                               | 411/5000 [08:01<1:29:32,  1.17s/it, lr: 1.0e-04 loss: 3.682e-02]
lana_lora_wan2.1:   8%|####2                                               | 412/5000 [08:02<1:29:30,  1.17s/it, lr: 1.0e-04 loss: 3.433e-02]
lana_lora_wan2.1:   8%|####2                                               | 412/5000 [08:02<1:29:30,  1.17s/it, lr: 1.0e-04 loss: 3.433e-02]
lana_lora_wan2.1:   8%|####2                                               | 413/5000 [08:03<1:29:35,  1.17s/it, lr: 1.0e-04 loss: 6.282e-02]
lana_lora_wan2.1:   8%|####2                                               | 413/5000 [08:03<1:29:35,  1.17s/it, lr: 1.0e-04 loss: 6.282e-02]
lana_lora_wan2.1:   8%|####3                                               | 414/5000 [08:04<1:29:27,  1.17s/it, lr: 1.0e-04 loss: 6.088e-02]
lana_lora_wan2.1:   8%|####3                                               | 414/5000 [08:04<1:29:27,  1.17s/it, lr: 1.0e-04 loss: 6.088e-02]
lana_lora_wan2.1:   8%|####3                                               | 415/5000 [08:05<1:29:19,  1.17s/it, lr: 1.0e-04 loss: 4.776e-02]
lana_lora_wan2.1:   8%|####3                                               | 415/5000 [08:05<1:29:19,  1.17s/it, lr: 1.0e-04 loss: 4.776e-02]
lana_lora_wan2.1:   8%|####3                                               | 416/5000 [08:06<1:29:17,  1.17s/it, lr: 1.0e-04 loss: 3.702e-02]
lana_lora_wan2.1:   8%|####3                                               | 416/5000 [08:06<1:29:17,  1.17s/it, lr: 1.0e-04 loss: 3.702e-02]
lana_lora_wan2.1:   8%|####3                                               | 417/5000 [08:07<1:29:14,  1.17s/it, lr: 1.0e-04 loss: 3.711e-02]
lana_lora_wan2.1:   8%|####3                                               | 417/5000 [08:07<1:29:14,  1.17s/it, lr: 1.0e-04 loss: 3.711e-02]
lana_lora_wan2.1:   8%|####3                                               | 418/5000 [08:07<1:29:06,  1.17s/it, lr: 1.0e-04 loss: 3.510e-02]
lana_lora_wan2.1:   8%|####3                                               | 418/5000 [08:07<1:29:06,  1.17s/it, lr: 1.0e-04 loss: 3.510e-02]
lana_lora_wan2.1:   8%|####3                                               | 419/5000 [08:08<1:29:04,  1.17s/it, lr: 1.0e-04 loss: 4.598e-02]
lana_lora_wan2.1:   8%|####3                                               | 419/5000 [08:08<1:29:04,  1.17s/it, lr: 1.0e-04 loss: 4.598e-02]
lana_lora_wan2.1:   8%|####3                                               | 420/5000 [08:09<1:29:01,  1.17s/it, lr: 1.0e-04 loss: 8.848e-02]
lana_lora_wan2.1:   8%|####3                                               | 420/5000 [08:09<1:29:01,  1.17s/it, lr: 1.0e-04 loss: 8.848e-02]
lana_lora_wan2.1:   8%|####3                                               | 421/5000 [08:10<1:28:57,  1.17s/it, lr: 1.0e-04 loss: 3.391e-02]
lana_lora_wan2.1:   8%|####3                                               | 421/5000 [08:10<1:28:57,  1.17s/it, lr: 1.0e-04 loss: 3.391e-02]
lana_lora_wan2.1:   8%|####3                                               | 422/5000 [08:11<1:28:55,  1.17s/it, lr: 1.0e-04 loss: 4.752e-02]
lana_lora_wan2.1:   8%|####3                                               | 422/5000 [08:11<1:28:55,  1.17s/it, lr: 1.0e-04 loss: 4.752e-02]
lana_lora_wan2.1:   8%|####3                                               | 423/5000 [08:12<1:28:52,  1.17s/it, lr: 1.0e-04 loss: 4.683e-02]
lana_lora_wan2.1:   8%|####3                                               | 423/5000 [08:12<1:28:52,  1.17s/it, lr: 1.0e-04 loss: 4.683e-02]
lana_lora_wan2.1:   8%|####4                                               | 424/5000 [08:13<1:28:45,  1.16s/it, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:   8%|####4                                               | 424/5000 [08:13<1:28:45,  1.16s/it, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:   8%|####4                                               | 425/5000 [08:14<1:28:42,  1.16s/it, lr: 1.0e-04 loss: 4.867e-02]
lana_lora_wan2.1:   8%|####4                                               | 425/5000 [08:14<1:28:42,  1.16s/it, lr: 1.0e-04 loss: 4.867e-02]
lana_lora_wan2.1:   9%|####4                                               | 426/5000 [08:15<1:28:35,  1.16s/it, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:   9%|####4                                               | 426/5000 [08:15<1:28:35,  1.16s/it, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:   9%|####4                                               | 427/5000 [08:15<1:28:28,  1.16s/it, lr: 1.0e-04 loss: 7.649e-02]
lana_lora_wan2.1:   9%|####4                                               | 427/5000 [08:15<1:28:28,  1.16s/it, lr: 1.0e-04 loss: 7.649e-02]
lana_lora_wan2.1:   9%|####4                                               | 428/5000 [08:16<1:28:21,  1.16s/it, lr: 1.0e-04 loss: 4.423e-02]
lana_lora_wan2.1:   9%|####4                                               | 428/5000 [08:16<1:28:21,  1.16s/it, lr: 1.0e-04 loss: 4.423e-02]
lana_lora_wan2.1:   9%|####4                                               | 429/5000 [08:16<1:28:13,  1.16s/it, lr: 1.0e-04 loss: 6.023e-02]
lana_lora_wan2.1:   9%|####4                                               | 429/5000 [08:16<1:28:13,  1.16s/it, lr: 1.0e-04 loss: 6.023e-02]
lana_lora_wan2.1:   9%|####4                                               | 430/5000 [08:18<1:28:18,  1.16s/it, lr: 1.0e-04 loss: 3.104e-02]
lana_lora_wan2.1:   9%|####4                                               | 430/5000 [08:18<1:28:18,  1.16s/it, lr: 1.0e-04 loss: 3.104e-02]
lana_lora_wan2.1:   9%|####4                                               | 431/5000 [08:20<1:28:23,  1.16s/it, lr: 1.0e-04 loss: 4.907e-02]
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lana_lora_wan2.1:   9%|####4                                               | 432/5000 [08:21<1:28:22,  1.16s/it, lr: 1.0e-04 loss: 6.874e-02]
lana_lora_wan2.1:   9%|####4                                               | 432/5000 [08:21<1:28:22,  1.16s/it, lr: 1.0e-04 loss: 6.874e-02]
lana_lora_wan2.1:   9%|####5                                               | 433/5000 [08:22<1:28:15,  1.16s/it, lr: 1.0e-04 loss: 3.542e-01]
lana_lora_wan2.1:   9%|####5                                               | 433/5000 [08:22<1:28:15,  1.16s/it, lr: 1.0e-04 loss: 3.542e-01]
lana_lora_wan2.1:   9%|####5                                               | 434/5000 [08:23<1:28:13,  1.16s/it, lr: 1.0e-04 loss: 2.674e-02]
lana_lora_wan2.1:   9%|####5                                               | 434/5000 [08:23<1:28:13,  1.16s/it, lr: 1.0e-04 loss: 2.674e-02]
lana_lora_wan2.1:   9%|####5                                               | 435/5000 [08:24<1:28:10,  1.16s/it, lr: 1.0e-04 loss: 8.053e-02]
lana_lora_wan2.1:   9%|####5                                               | 435/5000 [08:24<1:28:10,  1.16s/it, lr: 1.0e-04 loss: 8.053e-02]
lana_lora_wan2.1:   9%|####5                                               | 436/5000 [08:25<1:28:15,  1.16s/it, lr: 1.0e-04 loss: 2.852e-02]
lana_lora_wan2.1:   9%|####5                                               | 436/5000 [08:25<1:28:15,  1.16s/it, lr: 1.0e-04 loss: 2.852e-02]
lana_lora_wan2.1:   9%|####5                                               | 437/5000 [08:26<1:28:12,  1.16s/it, lr: 1.0e-04 loss: 4.707e-02]
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lana_lora_wan2.1:   9%|####5                                               | 438/5000 [08:27<1:28:10,  1.16s/it, lr: 1.0e-04 loss: 3.206e-02]
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lana_lora_wan2.1:   9%|####5                                               | 439/5000 [08:28<1:28:03,  1.16s/it, lr: 1.0e-04 loss: 5.550e-02]
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lana_lora_wan2.1:   9%|####5                                               | 440/5000 [08:30<1:28:07,  1.16s/it, lr: 1.0e-04 loss: 1.217e-01]
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lana_lora_wan2.1:   9%|####5                                               | 441/5000 [08:31<1:28:05,  1.16s/it, lr: 1.0e-04 loss: 3.502e-02]
lana_lora_wan2.1:   9%|####5                                               | 441/5000 [08:31<1:28:05,  1.16s/it, lr: 1.0e-04 loss: 3.502e-02]
lana_lora_wan2.1:   9%|####5                                               | 442/5000 [08:33<1:28:10,  1.16s/it, lr: 1.0e-04 loss: 3.424e-02]
lana_lora_wan2.1:   9%|####5                                               | 442/5000 [08:33<1:28:10,  1.16s/it, lr: 1.0e-04 loss: 3.424e-02]
lana_lora_wan2.1:   9%|####6                                               | 443/5000 [08:33<1:28:06,  1.16s/it, lr: 1.0e-04 loss: 2.609e-01]
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lana_lora_wan2.1:   9%|####6                                               | 444/5000 [08:34<1:28:03,  1.16s/it, lr: 1.0e-04 loss: 3.456e-01]
lana_lora_wan2.1:   9%|####6                                               | 444/5000 [08:34<1:28:03,  1.16s/it, lr: 1.0e-04 loss: 3.456e-01]
lana_lora_wan2.1:   9%|####6                                               | 445/5000 [08:35<1:27:56,  1.16s/it, lr: 1.0e-04 loss: 8.141e-02]
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Saving at step 500
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000500.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt



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Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.10s/it]
Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.10s/it]


                                                                                                                                             
                                                                                                                                             
lana_lora_wan2.1:  10%|#####2                                              | 500/5000 [09:32<1:25:55,  1.15s/it, lr: 1.0e-04 loss: 8.743e-02]
lana_lora_wan2.1:  10%|#####2                                              | 500/5000 [09:32<1:25:55,  1.15s/it, lr: 1.0e-04 loss: 8.743e-02]
lana_lora_wan2.1:  10%|#####2                                              | 501/5000 [09:33<1:25:53,  1.15s/it, lr: 1.0e-04 loss: 4.057e-02]
lana_lora_wan2.1:  10%|#####2                                              | 501/5000 [09:33<1:25:53,  1.15s/it, lr: 1.0e-04 loss: 4.057e-02]
lana_lora_wan2.1:  10%|#####2                                              | 502/5000 [09:34<1:25:47,  1.14s/it, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:  10%|#####2                                              | 502/5000 [09:34<1:25:47,  1.14s/it, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:  10%|#####2                                              | 503/5000 [09:35<1:25:44,  1.14s/it, lr: 1.0e-04 loss: 3.753e-02]
lana_lora_wan2.1:  10%|#####2                                              | 503/5000 [09:35<1:25:44,  1.14s/it, lr: 1.0e-04 loss: 3.753e-02]
lana_lora_wan2.1:  10%|#####2                                              | 504/5000 [09:36<1:25:38,  1.14s/it, lr: 1.0e-04 loss: 4.130e-02]
lana_lora_wan2.1:  10%|#####2                                              | 504/5000 [09:36<1:25:38,  1.14s/it, lr: 1.0e-04 loss: 4.130e-02]
lana_lora_wan2.1:  10%|#####2                                              | 505/5000 [09:37<1:25:36,  1.14s/it, lr: 1.0e-04 loss: 3.785e-02]
lana_lora_wan2.1:  10%|#####2                                              | 505/5000 [09:37<1:25:36,  1.14s/it, lr: 1.0e-04 loss: 3.785e-02]
lana_lora_wan2.1:  10%|#####2                                              | 506/5000 [09:38<1:25:40,  1.14s/it, lr: 1.0e-04 loss: 3.997e-02]
lana_lora_wan2.1:  10%|#####2                                              | 506/5000 [09:38<1:25:40,  1.14s/it, lr: 1.0e-04 loss: 3.997e-02]
lana_lora_wan2.1:  10%|#####2                                              | 507/5000 [09:40<1:25:44,  1.15s/it, lr: 1.0e-04 loss: 2.753e-01]
lana_lora_wan2.1:  10%|#####2                                              | 507/5000 [09:40<1:25:44,  1.15s/it, lr: 1.0e-04 loss: 2.753e-01]
lana_lora_wan2.1:  10%|#####2                                              | 508/5000 [09:42<1:25:48,  1.15s/it, lr: 1.0e-04 loss: 4.090e-02]
lana_lora_wan2.1:  10%|#####2                                              | 508/5000 [09:42<1:25:48,  1.15s/it, lr: 1.0e-04 loss: 4.090e-02]
lana_lora_wan2.1:  10%|#####2                                              | 509/5000 [09:42<1:25:42,  1.15s/it, lr: 1.0e-04 loss: 3.921e-02]
lana_lora_wan2.1:  10%|#####2                                              | 509/5000 [09:42<1:25:42,  1.15s/it, lr: 1.0e-04 loss: 3.921e-02]
lana_lora_wan2.1:  10%|#####3                                              | 510/5000 [09:43<1:25:40,  1.14s/it, lr: 1.0e-04 loss: 8.367e-02]
lana_lora_wan2.1:  10%|#####3                                              | 510/5000 [09:43<1:25:40,  1.14s/it, lr: 1.0e-04 loss: 8.367e-02]
lana_lora_wan2.1:  10%|#####3                                              | 511/5000 [09:44<1:25:37,  1.14s/it, lr: 1.0e-04 loss: 7.818e-02]
lana_lora_wan2.1:  10%|#####3                                              | 511/5000 [09:44<1:25:37,  1.14s/it, lr: 1.0e-04 loss: 7.818e-02]
lana_lora_wan2.1:  10%|#####3                                              | 512/5000 [09:46<1:25:41,  1.15s/it, lr: 1.0e-04 loss: 5.080e-02]
lana_lora_wan2.1:  10%|#####3                                              | 512/5000 [09:46<1:25:41,  1.15s/it, lr: 1.0e-04 loss: 5.080e-02]
lana_lora_wan2.1:  10%|#####3                                              | 513/5000 [09:48<1:25:44,  1.15s/it, lr: 1.0e-04 loss: 1.551e-01]
lana_lora_wan2.1:  10%|#####3                                              | 513/5000 [09:48<1:25:44,  1.15s/it, lr: 1.0e-04 loss: 1.551e-01]
lana_lora_wan2.1:  10%|#####3                                              | 514/5000 [09:49<1:25:42,  1.15s/it, lr: 1.0e-04 loss: 6.579e-02]
lana_lora_wan2.1:  10%|#####3                                              | 514/5000 [09:49<1:25:42,  1.15s/it, lr: 1.0e-04 loss: 6.579e-02]
lana_lora_wan2.1:  10%|#####3                                              | 515/5000 [09:49<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 6.351e-02]
lana_lora_wan2.1:  10%|#####3                                              | 515/5000 [09:49<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 6.351e-02]
lana_lora_wan2.1:  10%|#####3                                              | 516/5000 [09:50<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 3.066e-02]
lana_lora_wan2.1:  10%|#####3                                              | 516/5000 [09:50<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 3.066e-02]
lana_lora_wan2.1:  10%|#####3                                              | 517/5000 [09:51<1:25:32,  1.14s/it, lr: 1.0e-04 loss: 1.008e-01]
lana_lora_wan2.1:  10%|#####3                                              | 517/5000 [09:51<1:25:32,  1.14s/it, lr: 1.0e-04 loss: 1.008e-01]
lana_lora_wan2.1:  10%|#####3                                              | 518/5000 [09:52<1:25:26,  1.14s/it, lr: 1.0e-04 loss: 3.742e-02]
lana_lora_wan2.1:  10%|#####3                                              | 518/5000 [09:52<1:25:26,  1.14s/it, lr: 1.0e-04 loss: 3.742e-02]
lana_lora_wan2.1:  10%|#####3                                              | 519/5000 [09:54<1:25:30,  1.14s/it, lr: 1.0e-04 loss: 4.292e-02]
lana_lora_wan2.1:  10%|#####3                                              | 519/5000 [09:54<1:25:30,  1.14s/it, lr: 1.0e-04 loss: 4.292e-02]
lana_lora_wan2.1:  10%|#####4                                              | 520/5000 [09:55<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 4.407e-02]
lana_lora_wan2.1:  10%|#####4                                              | 520/5000 [09:55<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 4.407e-02]
lana_lora_wan2.1:  10%|#####4                                              | 521/5000 [09:57<1:25:37,  1.15s/it, lr: 1.0e-04 loss: 7.630e-02]
lana_lora_wan2.1:  10%|#####4                                              | 521/5000 [09:57<1:25:37,  1.15s/it, lr: 1.0e-04 loss: 7.630e-02]
lana_lora_wan2.1:  10%|#####4                                              | 522/5000 [09:58<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 6.387e-02]
lana_lora_wan2.1:  10%|#####4                                              | 522/5000 [09:58<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 6.387e-02]
lana_lora_wan2.1:  10%|#####4                                              | 523/5000 [09:59<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 1.691e-01]
lana_lora_wan2.1:  10%|#####4                                              | 523/5000 [09:59<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 1.691e-01]
lana_lora_wan2.1:  10%|#####4                                              | 524/5000 [09:59<1:25:22,  1.14s/it, lr: 1.0e-04 loss: 1.682e-01]
lana_lora_wan2.1:  10%|#####4                                              | 524/5000 [09:59<1:25:22,  1.14s/it, lr: 1.0e-04 loss: 1.682e-01]
lana_lora_wan2.1:  10%|#####4                                              | 525/5000 [10:00<1:25:16,  1.14s/it, lr: 1.0e-04 loss: 6.777e-02]
lana_lora_wan2.1:  10%|#####4                                              | 525/5000 [10:00<1:25:16,  1.14s/it, lr: 1.0e-04 loss: 6.777e-02]
lana_lora_wan2.1:  11%|#####4                                              | 526/5000 [10:02<1:25:20,  1.14s/it, lr: 1.0e-04 loss: 3.774e-02]
lana_lora_wan2.1:  11%|#####4                                              | 526/5000 [10:02<1:25:20,  1.14s/it, lr: 1.0e-04 loss: 3.774e-02]
lana_lora_wan2.1:  11%|#####4                                              | 527/5000 [10:03<1:25:24,  1.15s/it, lr: 1.0e-04 loss: 3.147e-02]
lana_lora_wan2.1:  11%|#####4                                              | 527/5000 [10:03<1:25:24,  1.15s/it, lr: 1.0e-04 loss: 3.147e-02]
lana_lora_wan2.1:  11%|#####4                                              | 528/5000 [10:05<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 2.824e-02]
lana_lora_wan2.1:  11%|#####4                                              | 528/5000 [10:05<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 2.824e-02]
lana_lora_wan2.1:  11%|#####5                                              | 529/5000 [10:07<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 6.240e-02]
lana_lora_wan2.1:  11%|#####5                                              | 529/5000 [10:07<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 6.240e-02]
lana_lora_wan2.1:  11%|#####5                                              | 530/5000 [10:07<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 3.973e-02]
lana_lora_wan2.1:  11%|#####5                                              | 530/5000 [10:07<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 3.973e-02]
lana_lora_wan2.1:  11%|#####5                                              | 531/5000 [10:08<1:25:20,  1.15s/it, lr: 1.0e-04 loss: 2.834e-02]
lana_lora_wan2.1:  11%|#####5                                              | 531/5000 [10:08<1:25:20,  1.15s/it, lr: 1.0e-04 loss: 2.834e-02]
lana_lora_wan2.1:  11%|#####5                                              | 532/5000 [10:10<1:25:23,  1.15s/it, lr: 1.0e-04 loss: 5.842e-02]
lana_lora_wan2.1:  11%|#####5                                              | 532/5000 [10:10<1:25:23,  1.15s/it, lr: 1.0e-04 loss: 5.842e-02]
lana_lora_wan2.1:  11%|#####5                                              | 533/5000 [10:11<1:25:27,  1.15s/it, lr: 1.0e-04 loss: 2.912e-02]
lana_lora_wan2.1:  11%|#####5                                              | 533/5000 [10:11<1:25:27,  1.15s/it, lr: 1.0e-04 loss: 2.912e-02]
lana_lora_wan2.1:  11%|#####5                                              | 534/5000 [10:13<1:25:27,  1.15s/it, lr: 1.0e-04 loss: 5.444e-02]
lana_lora_wan2.1:  11%|#####5                                              | 534/5000 [10:13<1:25:27,  1.15s/it, lr: 1.0e-04 loss: 5.444e-02]
lana_lora_wan2.1:  11%|#####5                                              | 535/5000 [10:14<1:25:25,  1.15s/it, lr: 1.0e-04 loss: 1.219e-01]
lana_lora_wan2.1:  11%|#####5                                              | 535/5000 [10:14<1:25:25,  1.15s/it, lr: 1.0e-04 loss: 1.219e-01]
lana_lora_wan2.1:  11%|#####5                                              | 536/5000 [10:15<1:25:29,  1.15s/it, lr: 1.0e-04 loss: 4.891e-02]
lana_lora_wan2.1:  11%|#####5                                              | 536/5000 [10:15<1:25:29,  1.15s/it, lr: 1.0e-04 loss: 4.891e-02]
lana_lora_wan2.1:  11%|#####5                                              | 537/5000 [10:17<1:25:33,  1.15s/it, lr: 1.0e-04 loss: 7.917e-02]
lana_lora_wan2.1:  11%|#####5                                              | 537/5000 [10:17<1:25:33,  1.15s/it, lr: 1.0e-04 loss: 7.917e-02]
lana_lora_wan2.1:  11%|#####5                                              | 538/5000 [10:19<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 4.388e-02]
lana_lora_wan2.1:  11%|#####5                                              | 538/5000 [10:19<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 4.388e-02]
lana_lora_wan2.1:  11%|#####6                                              | 539/5000 [10:19<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 3.129e-02]
lana_lora_wan2.1:  11%|#####6                                              | 539/5000 [10:19<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 3.129e-02]
lana_lora_wan2.1:  11%|#####6                                              | 540/5000 [10:21<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 5.812e-02]
lana_lora_wan2.1:  11%|#####6                                              | 540/5000 [10:21<1:25:34,  1.15s/it, lr: 1.0e-04 loss: 5.812e-02]
lana_lora_wan2.1:  11%|#####6                                              | 541/5000 [10:22<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 8.781e-02]
lana_lora_wan2.1:  11%|#####6                                              | 541/5000 [10:22<1:25:28,  1.15s/it, lr: 1.0e-04 loss: 8.781e-02]
lana_lora_wan2.1:  11%|#####6                                              | 542/5000 [10:23<1:25:32,  1.15s/it, lr: 1.0e-04 loss: 8.767e-02]
lana_lora_wan2.1:  11%|#####6                                              | 542/5000 [10:23<1:25:32,  1.15s/it, lr: 1.0e-04 loss: 8.767e-02]
lana_lora_wan2.1:  11%|#####6                                              | 543/5000 [10:24<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 3.108e-01]
lana_lora_wan2.1:  11%|#####6                                              | 543/5000 [10:24<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 3.108e-01]
lana_lora_wan2.1:  11%|#####6                                              | 544/5000 [10:26<1:25:30,  1.15s/it, lr: 1.0e-04 loss: 2.711e-02]
lana_lora_wan2.1:  11%|#####6                                              | 544/5000 [10:26<1:25:30,  1.15s/it, lr: 1.0e-04 loss: 2.711e-02]
lana_lora_wan2.1:  11%|#####6                                              | 545/5000 [10:28<1:25:35,  1.15s/it, lr: 1.0e-04 loss: 3.714e-02]
lana_lora_wan2.1:  11%|#####6                                              | 545/5000 [10:28<1:25:35,  1.15s/it, lr: 1.0e-04 loss: 3.714e-02]
lana_lora_wan2.1:  11%|#####6                                              | 546/5000 [10:29<1:25:33,  1.15s/it, lr: 1.0e-04 loss: 5.823e-02]
lana_lora_wan2.1:  11%|#####6                                              | 546/5000 [10:29<1:25:33,  1.15s/it, lr: 1.0e-04 loss: 5.823e-02]
lana_lora_wan2.1:  11%|#####6                                              | 547/5000 [10:30<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 3.437e-02]
lana_lora_wan2.1:  11%|#####6                                              | 547/5000 [10:30<1:25:31,  1.15s/it, lr: 1.0e-04 loss: 3.437e-02]
lana_lora_wan2.1:  11%|#####6                                              | 548/5000 [10:32<1:25:35,  1.15s/it, lr: 1.0e-04 loss: 2.325e-01]
lana_lora_wan2.1:  11%|#####6                                              | 548/5000 [10:32<1:25:35,  1.15s/it, lr: 1.0e-04 loss: 2.325e-01]
lana_lora_wan2.1:  11%|#####7                                              | 549/5000 [10:33<1:25:38,  1.15s/it, lr: 1.0e-04 loss: 3.114e-02]
lana_lora_wan2.1:  11%|#####7                                              | 549/5000 [10:33<1:25:38,  1.15s/it, lr: 1.0e-04 loss: 3.114e-02]
lana_lora_wan2.1:  11%|#####7                                              | 550/5000 [10:34<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 3.650e-01]
lana_lora_wan2.1:  11%|#####7                                              | 550/5000 [10:34<1:25:36,  1.15s/it, lr: 1.0e-04 loss: 3.650e-01]
lana_lora_wan2.1:  11%|#####7                                              | 551/5000 [10:35<1:25:30,  1.15s/it, lr: 1.0e-04 loss: 3.271e-02]
lana_lora_wan2.1:  11%|#####7                                              | 551/5000 [10:35<1:25:30,  1.15s/it, lr: 1.0e-04 loss: 3.271e-02]
lana_lora_wan2.1:  11%|#####7                                              | 552/5000 [10:36<1:25:25,  1.15s/it, lr: 1.0e-04 loss: 7.156e-02]
lana_lora_wan2.1:  11%|#####7                                              | 552/5000 [10:36<1:25:25,  1.15s/it, lr: 1.0e-04 loss: 7.156e-02]
lana_lora_wan2.1:  11%|#####7                                              | 553/5000 [10:36<1:25:19,  1.15s/it, lr: 1.0e-04 loss: 3.615e-02]
lana_lora_wan2.1:  11%|#####7                                              | 553/5000 [10:36<1:25:19,  1.15s/it, lr: 1.0e-04 loss: 3.615e-02]
lana_lora_wan2.1:  11%|#####7                                              | 554/5000 [10:38<1:25:22,  1.15s/it, lr: 1.0e-04 loss: 3.032e-02]
lana_lora_wan2.1:  11%|#####7                                              | 554/5000 [10:38<1:25:22,  1.15s/it, lr: 1.0e-04 loss: 3.032e-02]
lana_lora_wan2.1:  11%|#####7                                              | 555/5000 [10:40<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 4.469e-02]
lana_lora_wan2.1:  11%|#####7                                              | 555/5000 [10:40<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 4.469e-02]
lana_lora_wan2.1:  11%|#####7                                              | 556/5000 [10:40<1:25:23,  1.15s/it, lr: 1.0e-04 loss: 3.561e-02]
lana_lora_wan2.1:  11%|#####7                                              | 556/5000 [10:40<1:25:23,  1.15s/it, lr: 1.0e-04 loss: 3.561e-02]
lana_lora_wan2.1:  11%|#####7                                              | 557/5000 [10:42<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 2.914e-02]
lana_lora_wan2.1:  11%|#####7                                              | 557/5000 [10:42<1:25:26,  1.15s/it, lr: 1.0e-04 loss: 2.914e-02]
lana_lora_wan2.1:  11%|#####8                                              | 558/5000 [10:43<1:25:24,  1.15s/it, lr: 1.0e-04 loss: 2.710e-02]
lana_lora_wan2.1:  11%|#####8                                              | 558/5000 [10:43<1:25:24,  1.15s/it, lr: 1.0e-04 loss: 2.710e-02]
lana_lora_wan2.1:  11%|#####8                                              | 559/5000 [10:45<1:25:27,  1.15s/it, lr: 1.0e-04 loss: 3.357e-02]
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lana_lora_wan2.1:  14%|#######3                                            | 705/5000 [13:36<1:22:54,  1.16s/it, lr: 1.0e-04 loss: 5.921e-02]
lana_lora_wan2.1:  14%|#######3                                            | 706/5000 [13:37<1:22:49,  1.16s/it, lr: 1.0e-04 loss: 5.662e-02]
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lana_lora_wan2.1:  14%|#######4                                            | 720/5000 [13:53<1:22:35,  1.16s/it, lr: 1.0e-04 loss: 6.824e-02]
lana_lora_wan2.1:  14%|#######4                                            | 720/5000 [13:53<1:22:35,  1.16s/it, lr: 1.0e-04 loss: 6.824e-02]
lana_lora_wan2.1:  14%|#######4                                            | 721/5000 [13:54<1:22:33,  1.16s/it, lr: 1.0e-04 loss: 5.128e-01]
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lana_lora_wan2.1:  14%|#######5                                            | 722/5000 [13:56<1:22:35,  1.16s/it, lr: 1.0e-04 loss: 6.896e-02]
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lana_lora_wan2.1:  15%|#######5                                            | 727/5000 [14:01<1:22:26,  1.16s/it, lr: 1.0e-04 loss: 4.751e-02]
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lana_lora_wan2.1:  15%|#######6                                            | 737/5000 [14:15<1:22:31,  1.16s/it, lr: 1.0e-04 loss: 2.365e-01]
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lana_lora_wan2.1:  15%|#######7                                            | 741/5000 [14:20<1:22:27,  1.16s/it, lr: 1.0e-04 loss: 4.620e-02]
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lana_lora_wan2.1:  15%|#######7                                            | 745/5000 [14:25<1:22:22,  1.16s/it, lr: 1.0e-04 loss: 4.504e-02]
lana_lora_wan2.1:  15%|#######7                                            | 745/5000 [14:25<1:22:22,  1.16s/it, lr: 1.0e-04 loss: 4.504e-02]
lana_lora_wan2.1:  15%|#######7                                            | 746/5000 [14:26<1:22:20,  1.16s/it, lr: 1.0e-04 loss: 1.482e-01]
lana_lora_wan2.1:  15%|#######7                                            | 746/5000 [14:26<1:22:20,  1.16s/it, lr: 1.0e-04 loss: 1.482e-01]
lana_lora_wan2.1:  15%|#######7                                            | 747/5000 [14:28<1:22:22,  1.16s/it, lr: 1.0e-04 loss: 3.473e-02]
lana_lora_wan2.1:  15%|#######7                                            | 747/5000 [14:28<1:22:22,  1.16s/it, lr: 1.0e-04 loss: 3.473e-02]
lana_lora_wan2.1:  15%|#######7                                            | 748/5000 [14:29<1:22:20,  1.16s/it, lr: 1.0e-04 loss: 1.287e-01]
lana_lora_wan2.1:  15%|#######7                                            | 748/5000 [14:29<1:22:20,  1.16s/it, lr: 1.0e-04 loss: 1.287e-01]
lana_lora_wan2.1:  15%|#######7                                            | 749/5000 [14:29<1:22:16,  1.16s/it, lr: 1.0e-04 loss: 3.960e-02]
lana_lora_wan2.1:  15%|#######7                                            | 749/5000 [14:29<1:22:16,  1.16s/it, lr: 1.0e-04 loss: 3.960e-02]
Saving at step 750
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000750.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt



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  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.51it/s]
  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.51it/s]




  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.51it/s]
  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.51it/s]




 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.49it/s]
 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.49it/s]




 16%|################8                                                                                        | 4/25 [00:02<00:13,  1.50it/s]
 16%|################8                                                                                        | 4/25 [00:02<00:13,  1.50it/s]




 20%|#####################                                                                                    | 5/25 [00:03<00:13,  1.51it/s]
 20%|#####################                                                                                    | 5/25 [00:03<00:13,  1.51it/s]




 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]
 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]
 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]




 32%|#################################6                                                                       | 8/25 [00:05<00:11,  1.51it/s]
 32%|#################################6                                                                       | 8/25 [00:05<00:11,  1.51it/s]




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 40%|#########################################6                                                              | 10/25 [00:06<00:09,  1.51it/s]
 40%|#########################################6                                                              | 10/25 [00:06<00:09,  1.51it/s]




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 44%|#############################################7                                                          | 11/25 [00:07<00:09,  1.51it/s]




 48%|#################################################9                                                      | 12/25 [00:07<00:08,  1.51it/s]
 48%|#################################################9                                                      | 12/25 [00:07<00:08,  1.51it/s]




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Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.18s/it]
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lana_lora_wan2.1:  15%|#######8                                            | 750/5000 [14:31<1:22:16,  1.16s/it, lr: 1.0e-04 loss: 4.779e-02]
lana_lora_wan2.1:  15%|#######8                                            | 750/5000 [14:31<1:22:16,  1.16s/it, lr: 1.0e-04 loss: 4.779e-02]
lana_lora_wan2.1:  15%|#######8                                            | 751/5000 [14:32<1:22:18,  1.16s/it, lr: 1.0e-04 loss: 3.652e-02]
lana_lora_wan2.1:  15%|#######8                                            | 751/5000 [14:32<1:22:18,  1.16s/it, lr: 1.0e-04 loss: 3.652e-02]
lana_lora_wan2.1:  15%|#######8                                            | 752/5000 [14:33<1:22:13,  1.16s/it, lr: 1.0e-04 loss: 3.693e-02]
lana_lora_wan2.1:  15%|#######8                                            | 752/5000 [14:33<1:22:13,  1.16s/it, lr: 1.0e-04 loss: 3.693e-02]
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lana_lora_wan2.1:  15%|#######8                                            | 754/5000 [14:36<1:22:14,  1.16s/it, lr: 1.0e-04 loss: 1.051e-01]
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lana_lora_wan2.1:  15%|#######9                                            | 763/5000 [14:46<1:22:03,  1.16s/it, lr: 1.0e-04 loss: 3.926e-02]
lana_lora_wan2.1:  15%|#######9                                            | 764/5000 [14:47<1:22:01,  1.16s/it, lr: 1.0e-04 loss: 4.049e-02]
lana_lora_wan2.1:  15%|#######9                                            | 764/5000 [14:47<1:22:01,  1.16s/it, lr: 1.0e-04 loss: 4.049e-02]
lana_lora_wan2.1:  15%|#######9                                            | 765/5000 [14:49<1:22:03,  1.16s/it, lr: 1.0e-04 loss: 3.412e-02]
lana_lora_wan2.1:  15%|#######9                                            | 765/5000 [14:49<1:22:03,  1.16s/it, lr: 1.0e-04 loss: 3.412e-02]
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lana_lora_wan2.1:  15%|#######9                                            | 767/5000 [14:50<1:21:54,  1.16s/it, lr: 1.0e-04 loss: 5.077e-02]
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lana_lora_wan2.1:  15%|#######9                                            | 768/5000 [14:51<1:21:50,  1.16s/it, lr: 1.0e-04 loss: 5.262e-02]
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lana_lora_wan2.1:  15%|#######9                                            | 769/5000 [14:52<1:21:52,  1.16s/it, lr: 1.0e-04 loss: 1.078e-01]
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Saving at step 1000
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001000.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt



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  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.51it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.50it/s]




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 12%|############6                                                                                            | 3/25 [00:01<00:14,  1.51it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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Saving at step 1250
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001250.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000250.safetensors



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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.50it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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Saving at step 1500
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001500.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000500.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:16,  1.48it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.50it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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Saving at step 1750
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001750.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000000750.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:16,  1.46it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.50it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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Saving at step 2000
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002000.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001000.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:16,  1.50it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.46it/s]




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 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.49it/s]




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 24%|#########################2                                                                               | 6/25 [00:04<00:12,  1.50it/s]




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Saving at step 2250
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002250.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001250.safetensors



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 24%|#########################2                                                                               | 6/25 [00:04<00:12,  1.50it/s]




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Saving at step 2500
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002500.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001500.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.51it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.50it/s]




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 12%|############6                                                                                            | 3/25 [00:01<00:14,  1.51it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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lana_lora_wan2.1:  50%|#########################5                         | 2500/5000 [48:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.658e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2501/5000 [48:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.428e-02]
lana_lora_wan2.1:  50%|#########################5                         | 2502/5000 [48:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.128e-02]
lana_lora_wan2.1:  50%|#########################5                         | 2502/5000 [48:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.128e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2503/5000 [48:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.937e-01]
lana_lora_wan2.1:  50%|#########################5                         | 2504/5000 [48:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.484e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2505/5000 [48:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.134e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2506/5000 [48:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.304e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2508/5000 [48:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.812e-02]
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lana_lora_wan2.1:  50%|#########################5                         | 2509/5000 [48:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.818e-02]
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lana_lora_wan2.1:  50%|#########################6                         | 2510/5000 [48:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.084e-02]
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lana_lora_wan2.1:  50%|#########################6                         | 2511/5000 [48:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.141e-01]
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lana_lora_wan2.1:  50%|#########################7                         | 2520/5000 [48:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.074e-02]
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lana_lora_wan2.1:  51%|#########################8                         | 2530/5000 [48:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.779e-02]
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Saving at step 2750
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002750.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000001750.safetensors



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Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.33s/it]
Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.33s/it]


                                                                                                                                             
                                                                                                                                             
lana_lora_wan2.1:  55%|############################                       | 2750/5000 [52:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.410e-02]
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lana_lora_wan2.1:  55%|############################2                      | 2773/5000 [53:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.643e-02]
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lana_lora_wan2.1:  55%|############################2                      | 2774/5000 [53:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.106e-02]
lana_lora_wan2.1:  55%|############################2                      | 2774/5000 [53:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.106e-02]
lana_lora_wan2.1:  56%|############################3                      | 2775/5000 [53:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.598e-02]
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Saving at step 3000
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000003000.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002000.safetensors



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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.48it/s]




 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.50it/s]
 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.50it/s]




 16%|################8                                                                                        | 4/25 [00:02<00:13,  1.50it/s]
 16%|################8                                                                                        | 4/25 [00:02<00:13,  1.50it/s]




 20%|#####################                                                                                    | 5/25 [00:03<00:13,  1.51it/s]
 20%|#####################                                                                                    | 5/25 [00:03<00:13,  1.51it/s]




 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]
 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]
 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]




 32%|#################################6                                                                       | 8/25 [00:05<00:11,  1.51it/s]
 32%|#################################6                                                                       | 8/25 [00:05<00:11,  1.51it/s]




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 36%|#####################################8                                                                   | 9/25 [00:05<00:10,  1.51it/s]




 40%|#########################################6                                                              | 10/25 [00:06<00:09,  1.51it/s]
 40%|#########################################6                                                              | 10/25 [00:06<00:09,  1.51it/s]




 44%|#############################################7                                                          | 11/25 [00:07<00:09,  1.52it/s]
 44%|#############################################7                                                          | 11/25 [00:07<00:09,  1.52it/s]




 48%|#################################################9                                                      | 12/25 [00:07<00:08,  1.51it/s]
 48%|#################################################9                                                      | 12/25 [00:07<00:08,  1.51it/s]




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Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.12s/it]
Generating Images: 100%|#######################################################################################| 1/1 [00:17<00:00, 17.12s/it]


                                                                                                                                             
                                                                                                                                             
lana_lora_wan2.1:  60%|##############################6                    | 3000/5000 [57:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.771e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3000/5000 [57:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.771e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3001/5000 [57:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.447e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3001/5000 [57:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.447e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3002/5000 [57:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.643e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3002/5000 [57:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.643e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3003/5000 [57:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.954e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3003/5000 [57:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.954e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3004/5000 [57:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.074e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3004/5000 [57:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.074e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3005/5000 [57:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.628e-02]
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lana_lora_wan2.1:  60%|##############################6                    | 3006/5000 [57:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.974e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3006/5000 [57:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.974e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3007/5000 [57:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.703e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3007/5000 [57:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.703e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3008/5000 [57:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.521e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3008/5000 [57:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.521e-02]
lana_lora_wan2.1:  60%|##############################6                    | 3009/5000 [57:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.458e-01]
lana_lora_wan2.1:  60%|##############################6                    | 3009/5000 [57:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.458e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3010/5000 [57:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.860e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3010/5000 [57:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.860e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3011/5000 [57:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.138e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3011/5000 [57:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.138e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3012/5000 [57:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.587e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3012/5000 [57:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.587e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3013/5000 [57:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.428e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3013/5000 [57:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.428e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3014/5000 [57:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.910e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3014/5000 [57:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.910e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3015/5000 [57:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.468e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3015/5000 [57:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.468e-01]
lana_lora_wan2.1:  60%|##############################7                    | 3016/5000 [57:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.780e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3016/5000 [57:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.780e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3017/5000 [57:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.811e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3017/5000 [57:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.811e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3018/5000 [57:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.293e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3018/5000 [57:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.293e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3019/5000 [57:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.525e-02]
lana_lora_wan2.1:  60%|##############################7                    | 3019/5000 [57:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.525e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3020/5000 [57:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.035e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3020/5000 [57:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.035e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3021/5000 [57:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.284e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3021/5000 [57:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.284e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3022/5000 [57:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.288e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3022/5000 [57:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.288e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3023/5000 [57:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.681e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3023/5000 [57:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.681e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3024/5000 [58:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.971e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3024/5000 [58:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.971e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3025/5000 [58:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.092e-02]
lana_lora_wan2.1:  60%|##############################8                    | 3025/5000 [58:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.092e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3026/5000 [58:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.404e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3026/5000 [58:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.404e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3027/5000 [58:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.052e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3027/5000 [58:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.052e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3028/5000 [58:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.693e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3028/5000 [58:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.693e-02]
lana_lora_wan2.1:  61%|##############################8                    | 3029/5000 [58:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.907e-01]
lana_lora_wan2.1:  61%|##############################8                    | 3029/5000 [58:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.907e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3030/5000 [58:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.511e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3030/5000 [58:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.511e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3031/5000 [58:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.548e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3031/5000 [58:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.548e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3032/5000 [58:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.277e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3032/5000 [58:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.277e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3033/5000 [58:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.229e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3033/5000 [58:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.229e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3034/5000 [58:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.373e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3034/5000 [58:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.373e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3035/5000 [58:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.727e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3035/5000 [58:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.727e-01]
lana_lora_wan2.1:  61%|##############################9                    | 3036/5000 [58:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.060e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3036/5000 [58:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.060e-02]
lana_lora_wan2.1:  61%|##############################9                    | 3037/5000 [58:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.075e-01]
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lana_lora_wan2.1:  61%|##############################9                    | 3038/5000 [58:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.377e-01]
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lana_lora_wan2.1:  61%|###############################                    | 3040/5000 [58:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.458e-02]
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lana_lora_wan2.1:  61%|###############################                    | 3041/5000 [58:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.867e-02]
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lana_lora_wan2.1:  61%|###############################                    | 3042/5000 [58:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.661e-02]
lana_lora_wan2.1:  61%|###############################                    | 3042/5000 [58:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.661e-02]
lana_lora_wan2.1:  61%|###############################                    | 3043/5000 [58:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.742e-02]
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lana_lora_wan2.1:  61%|###############################1                   | 3050/5000 [58:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.168e-02]
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lana_lora_wan2.1:  61%|###############################1                   | 3051/5000 [58:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.153e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3051/5000 [58:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.153e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3052/5000 [58:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.872e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3052/5000 [58:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.872e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3053/5000 [58:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.515e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3053/5000 [58:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.515e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3054/5000 [58:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.519e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3054/5000 [58:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.519e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3055/5000 [58:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.259e-01]
lana_lora_wan2.1:  61%|###############################1                   | 3055/5000 [58:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.259e-01]
lana_lora_wan2.1:  61%|###############################1                   | 3056/5000 [58:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.736e-01]
lana_lora_wan2.1:  61%|###############################1                   | 3056/5000 [58:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.736e-01]
lana_lora_wan2.1:  61%|###############################1                   | 3057/5000 [58:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.233e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3057/5000 [58:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.233e-02]
lana_lora_wan2.1:  61%|###############################1                   | 3058/5000 [58:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.554e-01]
lana_lora_wan2.1:  61%|###############################1                   | 3058/5000 [58:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.554e-01]
lana_lora_wan2.1:  61%|###############################2                   | 3059/5000 [58:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.056e-01]
lana_lora_wan2.1:  61%|###############################2                   | 3059/5000 [58:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.056e-01]
lana_lora_wan2.1:  61%|###############################2                   | 3060/5000 [58:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.680e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3060/5000 [58:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.680e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3061/5000 [58:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.214e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3061/5000 [58:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.214e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3062/5000 [58:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.251e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3062/5000 [58:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.251e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3063/5000 [58:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.315e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3063/5000 [58:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.315e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3064/5000 [58:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.562e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3064/5000 [58:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.562e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3065/5000 [58:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.445e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3065/5000 [58:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.445e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3066/5000 [58:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.806e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3066/5000 [58:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.806e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3067/5000 [58:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.214e-01]
lana_lora_wan2.1:  61%|###############################2                   | 3067/5000 [58:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.214e-01]
lana_lora_wan2.1:  61%|###############################2                   | 3068/5000 [58:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.570e-02]
lana_lora_wan2.1:  61%|###############################2                   | 3068/5000 [58:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.570e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3069/5000 [58:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.642e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3069/5000 [58:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.642e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3070/5000 [58:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.096e-01]
lana_lora_wan2.1:  61%|###############################3                   | 3070/5000 [58:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.096e-01]
lana_lora_wan2.1:  61%|###############################3                   | 3071/5000 [58:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.081e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3071/5000 [58:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.081e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3072/5000 [58:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.646e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3072/5000 [58:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.646e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3073/5000 [58:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.783e-01]
lana_lora_wan2.1:  61%|###############################3                   | 3073/5000 [58:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.783e-01]
lana_lora_wan2.1:  61%|###############################3                   | 3074/5000 [58:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.187e-02]
lana_lora_wan2.1:  61%|###############################3                   | 3074/5000 [58:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.187e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3075/5000 [58:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.298e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3075/5000 [58:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.298e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3076/5000 [58:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.659e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3076/5000 [58:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.659e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3077/5000 [58:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.661e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3077/5000 [58:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.661e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3078/5000 [58:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.664e-02]
lana_lora_wan2.1:  62%|###############################3                   | 3078/5000 [58:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.664e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3079/5000 [59:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.811e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3079/5000 [59:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.811e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3080/5000 [59:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.041e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3080/5000 [59:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.041e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3081/5000 [59:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.326e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3081/5000 [59:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.326e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3082/5000 [59:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.283e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3082/5000 [59:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.283e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3083/5000 [59:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.009e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3083/5000 [59:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.009e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3084/5000 [59:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.731e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3084/5000 [59:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.731e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3085/5000 [59:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.126e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3085/5000 [59:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.126e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3086/5000 [59:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.121e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3086/5000 [59:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.121e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3087/5000 [59:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.585e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3087/5000 [59:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.585e-02]
lana_lora_wan2.1:  62%|###############################4                   | 3088/5000 [59:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.283e-01]
lana_lora_wan2.1:  62%|###############################4                   | 3088/5000 [59:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.283e-01]
lana_lora_wan2.1:  62%|###############################5                   | 3089/5000 [59:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.727e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3089/5000 [59:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.727e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3090/5000 [59:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.711e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3090/5000 [59:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.711e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3091/5000 [59:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.809e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3091/5000 [59:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.809e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3092/5000 [59:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.206e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3092/5000 [59:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.206e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3093/5000 [59:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.078e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3093/5000 [59:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.078e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3094/5000 [59:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.664e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3094/5000 [59:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.664e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3095/5000 [59:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.420e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3095/5000 [59:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.420e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3096/5000 [59:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.475e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3096/5000 [59:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.475e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3097/5000 [59:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.118e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3097/5000 [59:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.118e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3098/5000 [59:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.970e-02]
lana_lora_wan2.1:  62%|###############################5                   | 3098/5000 [59:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.970e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3099/5000 [59:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.906e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3099/5000 [59:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.906e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3100/5000 [59:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.693e-01]
lana_lora_wan2.1:  62%|###############################6                   | 3100/5000 [59:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.693e-01]
lana_lora_wan2.1:  62%|###############################6                   | 3101/5000 [59:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.817e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3101/5000 [59:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.817e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3102/5000 [59:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.048e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3102/5000 [59:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.048e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3103/5000 [59:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.618e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3103/5000 [59:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.618e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3104/5000 [59:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.369e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3104/5000 [59:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.369e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3105/5000 [59:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.329e-01]
lana_lora_wan2.1:  62%|###############################6                   | 3105/5000 [59:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.329e-01]
lana_lora_wan2.1:  62%|###############################6                   | 3106/5000 [59:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.291e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3106/5000 [59:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.291e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3107/5000 [59:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.499e-02]
lana_lora_wan2.1:  62%|###############################6                   | 3107/5000 [59:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.499e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3108/5000 [59:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.209e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3108/5000 [59:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.209e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3109/5000 [59:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.945e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3109/5000 [59:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.945e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3110/5000 [59:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.383e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3110/5000 [59:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.383e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3111/5000 [59:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.109e-01]
lana_lora_wan2.1:  62%|###############################7                   | 3111/5000 [59:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.109e-01]
lana_lora_wan2.1:  62%|###############################7                   | 3112/5000 [59:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.360e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3112/5000 [59:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.360e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3113/5000 [59:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.057e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3113/5000 [59:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.057e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3114/5000 [59:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.840e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3114/5000 [59:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.840e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3115/5000 [59:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.901e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3115/5000 [59:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.901e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3116/5000 [59:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.815e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3116/5000 [59:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.815e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3117/5000 [59:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.524e-02]
lana_lora_wan2.1:  62%|###############################7                   | 3117/5000 [59:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.524e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3118/5000 [59:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.727e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3118/5000 [59:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.727e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3119/5000 [59:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.005e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3119/5000 [59:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.005e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3120/5000 [59:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.965e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3120/5000 [59:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.965e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3121/5000 [59:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.535e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3121/5000 [59:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.535e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3122/5000 [59:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.108e-01]
lana_lora_wan2.1:  62%|###############################8                   | 3122/5000 [59:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.108e-01]
lana_lora_wan2.1:  62%|###############################8                   | 3123/5000 [59:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.288e-01]
lana_lora_wan2.1:  62%|###############################8                   | 3123/5000 [59:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.288e-01]
lana_lora_wan2.1:  62%|###############################8                   | 3124/5000 [59:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.677e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3124/5000 [59:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.677e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3125/5000 [59:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.585e-02]
lana_lora_wan2.1:  62%|###############################8                   | 3125/5000 [59:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.585e-02]
lana_lora_wan2.1:  63%|###############################8                   | 3126/5000 [59:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.268e-01]
lana_lora_wan2.1:  63%|###############################8                   | 3126/5000 [59:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.268e-01]
lana_lora_wan2.1:  63%|###############################8                   | 3127/5000 [59:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.398e-02]
lana_lora_wan2.1:  63%|###############################8                   | 3127/5000 [59:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.398e-02]
lana_lora_wan2.1:  63%|###############################9                   | 3128/5000 [59:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.482e-02]
lana_lora_wan2.1:  63%|###############################9                   | 3128/5000 [59:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.482e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3129/5000 [1:00:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.943e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3129/5000 [1:00:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.943e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3130/5000 [1:00:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.641e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3130/5000 [1:00:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.641e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3131/5000 [1:00:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.945e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3131/5000 [1:00:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.945e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3132/5000 [1:00:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.131e-02]
lana_lora_wan2.1:  63%|##############################6                  | 3132/5000 [1:00:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.131e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3133/5000 [1:00:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.472e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3133/5000 [1:00:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.472e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3134/5000 [1:00:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.400e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3134/5000 [1:00:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.400e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3135/5000 [1:00:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.233e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3135/5000 [1:00:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.233e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3136/5000 [1:00:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.667e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3136/5000 [1:00:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.667e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3137/5000 [1:00:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.946e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3137/5000 [1:00:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.946e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3138/5000 [1:00:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.013e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3138/5000 [1:00:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.013e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3139/5000 [1:00:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.409e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3139/5000 [1:00:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.409e-01]
lana_lora_wan2.1:  63%|##############################7                  | 3140/5000 [1:00:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.955e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3140/5000 [1:00:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.955e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3141/5000 [1:00:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3141/5000 [1:00:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3142/5000 [1:00:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.195e-02]
lana_lora_wan2.1:  63%|##############################7                  | 3142/5000 [1:00:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.195e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3143/5000 [1:00:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.121e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3143/5000 [1:00:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.121e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3144/5000 [1:00:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.610e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3144/5000 [1:00:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.610e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3145/5000 [1:00:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.015e-01]
lana_lora_wan2.1:  63%|##############################8                  | 3145/5000 [1:00:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.015e-01]
lana_lora_wan2.1:  63%|##############################8                  | 3146/5000 [1:00:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.074e-01]
lana_lora_wan2.1:  63%|##############################8                  | 3146/5000 [1:00:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.074e-01]
lana_lora_wan2.1:  63%|##############################8                  | 3147/5000 [1:00:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.621e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3147/5000 [1:00:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.621e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3148/5000 [1:00:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.780e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3148/5000 [1:00:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.780e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3149/5000 [1:00:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.704e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3149/5000 [1:00:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.704e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3150/5000 [1:00:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.320e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3150/5000 [1:00:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.320e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3151/5000 [1:00:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.945e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3151/5000 [1:00:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.945e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3152/5000 [1:00:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.938e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3152/5000 [1:00:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.938e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3153/5000 [1:00:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.933e-02]
lana_lora_wan2.1:  63%|##############################8                  | 3153/5000 [1:00:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.933e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3154/5000 [1:00:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.822e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3154/5000 [1:00:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.822e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3155/5000 [1:00:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.193e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3155/5000 [1:00:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.193e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3156/5000 [1:00:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.216e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3156/5000 [1:00:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.216e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3157/5000 [1:00:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.368e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3157/5000 [1:00:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.368e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3158/5000 [1:00:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.483e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3158/5000 [1:00:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.483e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3159/5000 [1:00:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.564e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3159/5000 [1:00:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.564e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3160/5000 [1:00:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.603e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3160/5000 [1:00:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.603e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3161/5000 [1:00:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.559e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3161/5000 [1:00:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.559e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3162/5000 [1:00:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.847e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3162/5000 [1:00:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.847e-02]
lana_lora_wan2.1:  63%|##############################9                  | 3163/5000 [1:00:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.007e-01]
lana_lora_wan2.1:  63%|##############################9                  | 3163/5000 [1:00:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.007e-01]
lana_lora_wan2.1:  63%|###############################                  | 3164/5000 [1:00:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.401e-02]
lana_lora_wan2.1:  63%|###############################                  | 3164/5000 [1:00:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.401e-02]
lana_lora_wan2.1:  63%|###############################                  | 3165/5000 [1:00:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.063e-01]
lana_lora_wan2.1:  63%|###############################                  | 3165/5000 [1:00:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.063e-01]
lana_lora_wan2.1:  63%|###############################                  | 3166/5000 [1:00:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.165e-02]
lana_lora_wan2.1:  63%|###############################                  | 3166/5000 [1:00:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.165e-02]
lana_lora_wan2.1:  63%|###############################                  | 3167/5000 [1:00:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.654e-01]
lana_lora_wan2.1:  63%|###############################                  | 3167/5000 [1:00:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.654e-01]
lana_lora_wan2.1:  63%|###############################                  | 3168/5000 [1:00:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.658e-02]
lana_lora_wan2.1:  63%|###############################                  | 3168/5000 [1:00:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.658e-02]
lana_lora_wan2.1:  63%|###############################                  | 3169/5000 [1:00:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.575e-02]
lana_lora_wan2.1:  63%|###############################                  | 3169/5000 [1:00:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.575e-02]
lana_lora_wan2.1:  63%|###############################                  | 3170/5000 [1:00:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.306e-02]
lana_lora_wan2.1:  63%|###############################                  | 3170/5000 [1:00:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.306e-02]
lana_lora_wan2.1:  63%|###############################                  | 3171/5000 [1:00:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.233e-01]
lana_lora_wan2.1:  63%|###############################                  | 3171/5000 [1:00:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.233e-01]
lana_lora_wan2.1:  63%|###############################                  | 3172/5000 [1:00:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.393e-02]
lana_lora_wan2.1:  63%|###############################                  | 3172/5000 [1:00:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.393e-02]
lana_lora_wan2.1:  63%|###############################                  | 3173/5000 [1:00:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.720e-02]
lana_lora_wan2.1:  63%|###############################                  | 3173/5000 [1:00:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.720e-02]
lana_lora_wan2.1:  63%|###############################1                 | 3174/5000 [1:00:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.021e-02]
lana_lora_wan2.1:  63%|###############################1                 | 3174/5000 [1:00:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.021e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3175/5000 [1:00:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.789e-01]
lana_lora_wan2.1:  64%|###############################1                 | 3175/5000 [1:00:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.789e-01]
lana_lora_wan2.1:  64%|###############################1                 | 3176/5000 [1:00:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.449e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3176/5000 [1:00:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.449e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3177/5000 [1:00:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.190e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3177/5000 [1:00:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.190e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3178/5000 [1:00:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.249e-01]
lana_lora_wan2.1:  64%|###############################1                 | 3178/5000 [1:00:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.249e-01]
lana_lora_wan2.1:  64%|###############################1                 | 3179/5000 [1:00:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.456e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3179/5000 [1:00:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.456e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3180/5000 [1:01:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.284e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3180/5000 [1:01:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.284e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3181/5000 [1:01:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.122e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3181/5000 [1:01:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.122e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3182/5000 [1:01:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.935e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3182/5000 [1:01:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.935e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3183/5000 [1:01:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.016e-02]
lana_lora_wan2.1:  64%|###############################1                 | 3183/5000 [1:01:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.016e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3184/5000 [1:01:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.504e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3184/5000 [1:01:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.504e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3185/5000 [1:01:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.422e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3185/5000 [1:01:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.422e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3186/5000 [1:01:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.326e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3186/5000 [1:01:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.326e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3187/5000 [1:01:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.673e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3187/5000 [1:01:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.673e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3188/5000 [1:01:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.269e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3188/5000 [1:01:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.269e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3189/5000 [1:01:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.743e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3189/5000 [1:01:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.743e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3190/5000 [1:01:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.112e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3190/5000 [1:01:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.112e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3191/5000 [1:01:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.704e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3191/5000 [1:01:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.704e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3192/5000 [1:01:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.096e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3192/5000 [1:01:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.096e-02]
lana_lora_wan2.1:  64%|###############################2                 | 3193/5000 [1:01:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.589e-01]
lana_lora_wan2.1:  64%|###############################2                 | 3193/5000 [1:01:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.589e-01]
lana_lora_wan2.1:  64%|###############################3                 | 3194/5000 [1:01:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.161e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3194/5000 [1:01:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.161e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3195/5000 [1:01:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.998e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3195/5000 [1:01:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.998e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3196/5000 [1:01:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.434e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3196/5000 [1:01:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.434e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3197/5000 [1:01:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.534e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3197/5000 [1:01:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.534e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3198/5000 [1:01:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.404e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3198/5000 [1:01:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.404e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3199/5000 [1:01:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.000e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3199/5000 [1:01:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.000e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3200/5000 [1:01:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.790e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3200/5000 [1:01:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.790e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3201/5000 [1:01:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.718e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3201/5000 [1:01:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.718e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3202/5000 [1:01:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.241e-01]
lana_lora_wan2.1:  64%|###############################3                 | 3202/5000 [1:01:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.241e-01]
lana_lora_wan2.1:  64%|###############################3                 | 3203/5000 [1:01:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.190e-01]
lana_lora_wan2.1:  64%|###############################3                 | 3203/5000 [1:01:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.190e-01]
lana_lora_wan2.1:  64%|###############################3                 | 3204/5000 [1:01:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.130e-02]
lana_lora_wan2.1:  64%|###############################3                 | 3204/5000 [1:01:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.130e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3205/5000 [1:01:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.324e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3205/5000 [1:01:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.324e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3206/5000 [1:01:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.206e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3206/5000 [1:01:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.206e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3207/5000 [1:01:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.212e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3207/5000 [1:01:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.212e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3208/5000 [1:01:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.874e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3208/5000 [1:01:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.874e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3209/5000 [1:01:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.692e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3209/5000 [1:01:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.692e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3210/5000 [1:01:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.050e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3210/5000 [1:01:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.050e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3211/5000 [1:01:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.057e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3211/5000 [1:01:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.057e-01]
lana_lora_wan2.1:  64%|###############################4                 | 3212/5000 [1:01:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.666e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3212/5000 [1:01:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.666e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3213/5000 [1:01:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.571e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3213/5000 [1:01:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.571e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3214/5000 [1:01:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.086e-02]
lana_lora_wan2.1:  64%|###############################4                 | 3214/5000 [1:01:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.086e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3215/5000 [1:01:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.924e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3215/5000 [1:01:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.924e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3216/5000 [1:01:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.421e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3216/5000 [1:01:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.421e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3217/5000 [1:01:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.522e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3217/5000 [1:01:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.522e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3218/5000 [1:01:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.082e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3218/5000 [1:01:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.082e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3219/5000 [1:01:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.704e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3219/5000 [1:01:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.704e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3220/5000 [1:01:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.458e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3220/5000 [1:01:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.458e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3221/5000 [1:01:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.876e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3221/5000 [1:01:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.876e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3222/5000 [1:01:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.467e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3222/5000 [1:01:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.467e-02]
lana_lora_wan2.1:  64%|###############################5                 | 3223/5000 [1:01:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.008e-01]
lana_lora_wan2.1:  64%|###############################5                 | 3223/5000 [1:01:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.008e-01]
lana_lora_wan2.1:  64%|###############################5                 | 3224/5000 [1:01:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.286e-01]
lana_lora_wan2.1:  64%|###############################5                 | 3224/5000 [1:01:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.286e-01]
lana_lora_wan2.1:  64%|###############################6                 | 3225/5000 [1:01:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.590e-02]
lana_lora_wan2.1:  64%|###############################6                 | 3225/5000 [1:01:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.590e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3226/5000 [1:01:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.744e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3226/5000 [1:01:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.744e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3227/5000 [1:01:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.874e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3227/5000 [1:01:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.874e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3228/5000 [1:01:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.284e-01]
lana_lora_wan2.1:  65%|###############################6                 | 3228/5000 [1:01:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.284e-01]
lana_lora_wan2.1:  65%|###############################6                 | 3229/5000 [1:01:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.663e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3229/5000 [1:01:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.663e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3230/5000 [1:01:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.326e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3230/5000 [1:01:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.326e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3231/5000 [1:01:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.209e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3231/5000 [1:01:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.209e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3232/5000 [1:01:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.068e-01]
lana_lora_wan2.1:  65%|###############################6                 | 3232/5000 [1:01:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.068e-01]
lana_lora_wan2.1:  65%|###############################6                 | 3233/5000 [1:01:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.381e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3233/5000 [1:01:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.381e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3234/5000 [1:02:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.666e-02]
lana_lora_wan2.1:  65%|###############################6                 | 3234/5000 [1:02:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.666e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3235/5000 [1:02:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.597e-01]
lana_lora_wan2.1:  65%|###############################7                 | 3235/5000 [1:02:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.597e-01]
lana_lora_wan2.1:  65%|###############################7                 | 3236/5000 [1:02:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.737e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3236/5000 [1:02:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.737e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3237/5000 [1:02:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.461e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3237/5000 [1:02:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.461e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3238/5000 [1:02:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.015e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3238/5000 [1:02:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.015e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3239/5000 [1:02:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.589e-02]
lana_lora_wan2.1:  65%|###############################7                 | 3239/5000 [1:02:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.589e-02]
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lana_lora_wan2.1:  65%|###############################8                 | 3249/5000 [1:02:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.355e-02]
Saving at step 3250
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000003250.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002250.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.52it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.51it/s]




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 12%|############6                                                                                            | 3/25 [00:01<00:14,  1.51it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.50it/s]




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lana_lora_wan2.1:  65%|###############################8                 | 3250/5000 [1:02:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.280e-01]
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lana_lora_wan2.1:  65%|###############################8                 | 3254/5000 [1:02:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.694e-02]
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lana_lora_wan2.1:  65%|###############################8                 | 3255/5000 [1:02:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.882e-02]
lana_lora_wan2.1:  65%|###############################8                 | 3255/5000 [1:02:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.882e-02]
lana_lora_wan2.1:  65%|###############################9                 | 3256/5000 [1:02:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.721e-02]
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lana_lora_wan2.1:  70%|##################################2              | 3493/5000 [1:06:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.751e-02]
lana_lora_wan2.1:  70%|##################################2              | 3493/5000 [1:06:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.751e-02]
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lana_lora_wan2.1:  70%|##################################2              | 3494/5000 [1:07:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.045e-02]
lana_lora_wan2.1:  70%|##################################2              | 3495/5000 [1:07:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.341e-02]
lana_lora_wan2.1:  70%|##################################2              | 3495/5000 [1:07:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.341e-02]
lana_lora_wan2.1:  70%|##################################2              | 3496/5000 [1:07:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.648e-02]
lana_lora_wan2.1:  70%|##################################2              | 3496/5000 [1:07:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.648e-02]
lana_lora_wan2.1:  70%|##################################2              | 3497/5000 [1:07:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.522e-02]
lana_lora_wan2.1:  70%|##################################2              | 3497/5000 [1:07:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.522e-02]
lana_lora_wan2.1:  70%|##################################2              | 3498/5000 [1:07:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.095e-02]
lana_lora_wan2.1:  70%|##################################2              | 3498/5000 [1:07:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.095e-02]
lana_lora_wan2.1:  70%|##################################2              | 3499/5000 [1:07:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.443e-02]
lana_lora_wan2.1:  70%|##################################2              | 3499/5000 [1:07:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.443e-02]
Saving at step 3500
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000003500.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002500.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:15,  1.52it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.51it/s]




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 12%|############6                                                                                            | 3/25 [00:01<00:14,  1.51it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.52it/s]




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 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.52it/s]




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 40%|#########################################6                                                              | 10/25 [00:06<00:09,  1.51it/s]




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lana_lora_wan2.1:  70%|##################################3              | 3500/5000 [1:07:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.447e-02]
lana_lora_wan2.1:  70%|##################################3              | 3500/5000 [1:07:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.447e-02]
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lana_lora_wan2.1:  70%|##################################3              | 3502/5000 [1:07:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.726e-02]
lana_lora_wan2.1:  70%|##################################3              | 3502/5000 [1:07:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.726e-02]
lana_lora_wan2.1:  70%|##################################3              | 3503/5000 [1:07:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.451e-02]
lana_lora_wan2.1:  70%|##################################3              | 3503/5000 [1:07:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.451e-02]
lana_lora_wan2.1:  70%|##################################3              | 3504/5000 [1:07:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.024e-02]
lana_lora_wan2.1:  70%|##################################3              | 3504/5000 [1:07:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.024e-02]
lana_lora_wan2.1:  70%|##################################3              | 3505/5000 [1:07:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.445e-02]
lana_lora_wan2.1:  70%|##################################3              | 3505/5000 [1:07:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.445e-02]
lana_lora_wan2.1:  70%|##################################3              | 3506/5000 [1:07:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.732e-02]
lana_lora_wan2.1:  70%|##################################3              | 3506/5000 [1:07:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.732e-02]
lana_lora_wan2.1:  70%|##################################3              | 3507/5000 [1:07:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.733e-02]
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lana_lora_wan2.1:  70%|##################################3              | 3509/5000 [1:07:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.745e-02]
lana_lora_wan2.1:  70%|##################################3              | 3509/5000 [1:07:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.745e-02]
lana_lora_wan2.1:  70%|##################################3              | 3510/5000 [1:07:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.836e-02]
lana_lora_wan2.1:  70%|##################################3              | 3510/5000 [1:07:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.836e-02]
lana_lora_wan2.1:  70%|##################################4              | 3511/5000 [1:07:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.071e-01]
lana_lora_wan2.1:  70%|##################################4              | 3511/5000 [1:07:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.071e-01]
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lana_lora_wan2.1:  70%|##################################5              | 3521/5000 [1:07:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.728e-01]
lana_lora_wan2.1:  70%|##################################5              | 3522/5000 [1:07:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.003e-02]
lana_lora_wan2.1:  70%|##################################5              | 3522/5000 [1:07:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.003e-02]
lana_lora_wan2.1:  70%|##################################5              | 3523/5000 [1:07:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.734e-02]
lana_lora_wan2.1:  70%|##################################5              | 3523/5000 [1:07:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.734e-02]
lana_lora_wan2.1:  70%|##################################5              | 3524/5000 [1:07:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.129e-01]
lana_lora_wan2.1:  70%|##################################5              | 3524/5000 [1:07:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.129e-01]
lana_lora_wan2.1:  70%|##################################5              | 3525/5000 [1:07:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.666e-02]
lana_lora_wan2.1:  70%|##################################5              | 3525/5000 [1:07:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.666e-02]
lana_lora_wan2.1:  71%|##################################5              | 3526/5000 [1:07:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.897e-02]
lana_lora_wan2.1:  71%|##################################5              | 3526/5000 [1:07:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.897e-02]
lana_lora_wan2.1:  71%|##################################5              | 3527/5000 [1:07:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.281e-01]
lana_lora_wan2.1:  71%|##################################5              | 3527/5000 [1:07:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.281e-01]
lana_lora_wan2.1:  71%|##################################5              | 3528/5000 [1:07:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.719e-02]
lana_lora_wan2.1:  71%|##################################5              | 3528/5000 [1:07:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.719e-02]
lana_lora_wan2.1:  71%|##################################5              | 3529/5000 [1:07:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.516e-02]
lana_lora_wan2.1:  71%|##################################5              | 3529/5000 [1:07:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.516e-02]
lana_lora_wan2.1:  71%|##################################5              | 3530/5000 [1:07:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.252e-02]
lana_lora_wan2.1:  71%|##################################5              | 3530/5000 [1:07:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.252e-02]
lana_lora_wan2.1:  71%|##################################6              | 3531/5000 [1:07:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.031e-01]
lana_lora_wan2.1:  71%|##################################6              | 3531/5000 [1:07:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.031e-01]
lana_lora_wan2.1:  71%|##################################6              | 3532/5000 [1:07:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.273e-02]
lana_lora_wan2.1:  71%|##################################6              | 3532/5000 [1:07:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.273e-02]
lana_lora_wan2.1:  71%|##################################6              | 3533/5000 [1:07:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.169e-02]
lana_lora_wan2.1:  71%|##################################6              | 3533/5000 [1:07:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.169e-02]
lana_lora_wan2.1:  71%|##################################6              | 3534/5000 [1:07:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.544e-02]
lana_lora_wan2.1:  71%|##################################6              | 3534/5000 [1:07:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.544e-02]
lana_lora_wan2.1:  71%|##################################6              | 3535/5000 [1:07:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.908e-02]
lana_lora_wan2.1:  71%|##################################6              | 3535/5000 [1:07:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.908e-02]
lana_lora_wan2.1:  71%|##################################6              | 3536/5000 [1:07:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.298e-01]
lana_lora_wan2.1:  71%|##################################6              | 3536/5000 [1:07:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.298e-01]
lana_lora_wan2.1:  71%|##################################6              | 3537/5000 [1:07:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.892e-02]
lana_lora_wan2.1:  71%|##################################6              | 3537/5000 [1:07:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.892e-02]
lana_lora_wan2.1:  71%|##################################6              | 3538/5000 [1:07:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.606e-02]
lana_lora_wan2.1:  71%|##################################6              | 3538/5000 [1:07:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.606e-02]
lana_lora_wan2.1:  71%|##################################6              | 3539/5000 [1:07:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.942e-02]
lana_lora_wan2.1:  71%|##################################6              | 3539/5000 [1:07:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.942e-02]
lana_lora_wan2.1:  71%|##################################6              | 3540/5000 [1:07:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.397e-02]
lana_lora_wan2.1:  71%|##################################6              | 3540/5000 [1:07:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.397e-02]
lana_lora_wan2.1:  71%|##################################7              | 3541/5000 [1:07:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.759e-02]
lana_lora_wan2.1:  71%|##################################7              | 3541/5000 [1:07:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.759e-02]
lana_lora_wan2.1:  71%|##################################7              | 3542/5000 [1:07:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.308e-02]
lana_lora_wan2.1:  71%|##################################7              | 3542/5000 [1:07:55<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.308e-02]
lana_lora_wan2.1:  71%|##################################7              | 3543/5000 [1:07:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.607e-02]
lana_lora_wan2.1:  71%|##################################7              | 3543/5000 [1:07:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.607e-02]
lana_lora_wan2.1:  71%|##################################7              | 3544/5000 [1:07:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.346e-01]
lana_lora_wan2.1:  71%|##################################7              | 3544/5000 [1:07:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.346e-01]
lana_lora_wan2.1:  71%|##################################7              | 3545/5000 [1:07:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.102e-02]
lana_lora_wan2.1:  71%|##################################7              | 3545/5000 [1:07:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.102e-02]
lana_lora_wan2.1:  71%|##################################7              | 3546/5000 [1:08:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.204e-02]
lana_lora_wan2.1:  71%|##################################7              | 3546/5000 [1:08:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.204e-02]
lana_lora_wan2.1:  71%|##################################7              | 3547/5000 [1:08:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.630e-02]
lana_lora_wan2.1:  71%|##################################7              | 3547/5000 [1:08:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.630e-02]
lana_lora_wan2.1:  71%|##################################7              | 3548/5000 [1:08:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.437e-02]
lana_lora_wan2.1:  71%|##################################7              | 3548/5000 [1:08:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.437e-02]
lana_lora_wan2.1:  71%|##################################7              | 3549/5000 [1:08:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.233e-01]
lana_lora_wan2.1:  71%|##################################7              | 3549/5000 [1:08:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.233e-01]
lana_lora_wan2.1:  71%|##################################7              | 3550/5000 [1:08:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.386e-02]
lana_lora_wan2.1:  71%|##################################7              | 3550/5000 [1:08:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.386e-02]
lana_lora_wan2.1:  71%|##################################7              | 3551/5000 [1:08:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.243e-02]
lana_lora_wan2.1:  71%|##################################7              | 3551/5000 [1:08:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.243e-02]
lana_lora_wan2.1:  71%|##################################8              | 3552/5000 [1:08:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.091e-02]
lana_lora_wan2.1:  71%|##################################8              | 3552/5000 [1:08:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.091e-02]
lana_lora_wan2.1:  71%|##################################8              | 3553/5000 [1:08:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.003e-02]
lana_lora_wan2.1:  71%|##################################8              | 3553/5000 [1:08:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.003e-02]
lana_lora_wan2.1:  71%|##################################8              | 3554/5000 [1:08:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.038e-02]
lana_lora_wan2.1:  71%|##################################8              | 3554/5000 [1:08:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.038e-02]
lana_lora_wan2.1:  71%|##################################8              | 3555/5000 [1:08:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.989e-02]
lana_lora_wan2.1:  71%|##################################8              | 3555/5000 [1:08:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.989e-02]
lana_lora_wan2.1:  71%|##################################8              | 3556/5000 [1:08:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.445e-02]
lana_lora_wan2.1:  71%|##################################8              | 3556/5000 [1:08:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.445e-02]
lana_lora_wan2.1:  71%|##################################8              | 3557/5000 [1:08:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.816e-02]
lana_lora_wan2.1:  71%|##################################8              | 3557/5000 [1:08:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.816e-02]
lana_lora_wan2.1:  71%|##################################8              | 3558/5000 [1:08:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.955e-01]
lana_lora_wan2.1:  71%|##################################8              | 3558/5000 [1:08:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.955e-01]
lana_lora_wan2.1:  71%|##################################8              | 3559/5000 [1:08:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.853e-02]
lana_lora_wan2.1:  71%|##################################8              | 3559/5000 [1:08:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.853e-02]
lana_lora_wan2.1:  71%|##################################8              | 3560/5000 [1:08:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.524e-02]
lana_lora_wan2.1:  71%|##################################8              | 3560/5000 [1:08:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.524e-02]
lana_lora_wan2.1:  71%|##################################8              | 3561/5000 [1:08:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:  71%|##################################8              | 3561/5000 [1:08:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.589e-02]
lana_lora_wan2.1:  71%|##################################9              | 3562/5000 [1:08:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.865e-02]
lana_lora_wan2.1:  71%|##################################9              | 3562/5000 [1:08:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.865e-02]
lana_lora_wan2.1:  71%|##################################9              | 3563/5000 [1:08:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.186e-01]
lana_lora_wan2.1:  71%|##################################9              | 3563/5000 [1:08:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.186e-01]
lana_lora_wan2.1:  71%|##################################9              | 3564/5000 [1:08:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.759e-02]
lana_lora_wan2.1:  71%|##################################9              | 3564/5000 [1:08:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.759e-02]
lana_lora_wan2.1:  71%|##################################9              | 3565/5000 [1:08:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.101e-02]
lana_lora_wan2.1:  71%|##################################9              | 3565/5000 [1:08:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.101e-02]
lana_lora_wan2.1:  71%|##################################9              | 3566/5000 [1:08:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.232e-02]
lana_lora_wan2.1:  71%|##################################9              | 3566/5000 [1:08:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.232e-02]
lana_lora_wan2.1:  71%|##################################9              | 3567/5000 [1:08:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.486e-02]
lana_lora_wan2.1:  71%|##################################9              | 3567/5000 [1:08:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.486e-02]
lana_lora_wan2.1:  71%|##################################9              | 3568/5000 [1:08:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.755e-02]
lana_lora_wan2.1:  71%|##################################9              | 3568/5000 [1:08:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.755e-02]
lana_lora_wan2.1:  71%|##################################9              | 3569/5000 [1:08:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.708e-01]
lana_lora_wan2.1:  71%|##################################9              | 3569/5000 [1:08:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.708e-01]
lana_lora_wan2.1:  71%|##################################9              | 3570/5000 [1:08:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.326e-02]
lana_lora_wan2.1:  71%|##################################9              | 3570/5000 [1:08:29<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.326e-02]
lana_lora_wan2.1:  71%|##################################9              | 3571/5000 [1:08:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.282e-02]
lana_lora_wan2.1:  71%|##################################9              | 3571/5000 [1:08:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.282e-02]
lana_lora_wan2.1:  71%|###################################              | 3572/5000 [1:08:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.787e-02]
lana_lora_wan2.1:  71%|###################################              | 3572/5000 [1:08:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.787e-02]
lana_lora_wan2.1:  71%|###################################              | 3573/5000 [1:08:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.160e-02]
lana_lora_wan2.1:  71%|###################################              | 3573/5000 [1:08:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.160e-02]
lana_lora_wan2.1:  71%|###################################              | 3574/5000 [1:08:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.410e-02]
lana_lora_wan2.1:  71%|###################################              | 3574/5000 [1:08:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.410e-02]
lana_lora_wan2.1:  72%|###################################              | 3575/5000 [1:08:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.544e-02]
lana_lora_wan2.1:  72%|###################################              | 3575/5000 [1:08:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.544e-02]
lana_lora_wan2.1:  72%|###################################              | 3576/5000 [1:08:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.249e-02]
lana_lora_wan2.1:  72%|###################################              | 3576/5000 [1:08:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.249e-02]
lana_lora_wan2.1:  72%|###################################              | 3577/5000 [1:08:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:  72%|###################################              | 3577/5000 [1:08:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.351e-02]
lana_lora_wan2.1:  72%|###################################              | 3578/5000 [1:08:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.226e-01]
lana_lora_wan2.1:  72%|###################################              | 3578/5000 [1:08:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.226e-01]
lana_lora_wan2.1:  72%|###################################              | 3579/5000 [1:08:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.896e-02]
lana_lora_wan2.1:  72%|###################################              | 3579/5000 [1:08:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.896e-02]
lana_lora_wan2.1:  72%|###################################              | 3580/5000 [1:08:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.500e-02]
lana_lora_wan2.1:  72%|###################################              | 3580/5000 [1:08:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.500e-02]
lana_lora_wan2.1:  72%|###################################              | 3581/5000 [1:08:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.416e-02]
lana_lora_wan2.1:  72%|###################################              | 3581/5000 [1:08:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.416e-02]
lana_lora_wan2.1:  72%|###################################1             | 3582/5000 [1:08:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.269e-02]
lana_lora_wan2.1:  72%|###################################1             | 3582/5000 [1:08:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.269e-02]
lana_lora_wan2.1:  72%|###################################1             | 3583/5000 [1:08:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.315e-01]
lana_lora_wan2.1:  72%|###################################1             | 3583/5000 [1:08:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.315e-01]
lana_lora_wan2.1:  72%|###################################1             | 3584/5000 [1:08:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.515e-02]
lana_lora_wan2.1:  72%|###################################1             | 3584/5000 [1:08:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.515e-02]
lana_lora_wan2.1:  72%|###################################1             | 3585/5000 [1:08:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.511e-02]
lana_lora_wan2.1:  72%|###################################1             | 3585/5000 [1:08:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.511e-02]
lana_lora_wan2.1:  72%|###################################1             | 3586/5000 [1:08:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.406e-02]
lana_lora_wan2.1:  72%|###################################1             | 3586/5000 [1:08:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.406e-02]
lana_lora_wan2.1:  72%|###################################1             | 3587/5000 [1:08:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.088e-02]
lana_lora_wan2.1:  72%|###################################1             | 3587/5000 [1:08:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.088e-02]
lana_lora_wan2.1:  72%|###################################1             | 3588/5000 [1:08:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.089e-02]
lana_lora_wan2.1:  72%|###################################1             | 3588/5000 [1:08:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.089e-02]
lana_lora_wan2.1:  72%|###################################1             | 3589/5000 [1:08:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.671e-02]
lana_lora_wan2.1:  72%|###################################1             | 3589/5000 [1:08:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.671e-02]
lana_lora_wan2.1:  72%|###################################1             | 3590/5000 [1:08:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.173e-01]
lana_lora_wan2.1:  72%|###################################1             | 3590/5000 [1:08:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.173e-01]
lana_lora_wan2.1:  72%|###################################1             | 3591/5000 [1:08:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.359e-01]
lana_lora_wan2.1:  72%|###################################1             | 3591/5000 [1:08:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.359e-01]
lana_lora_wan2.1:  72%|###################################2             | 3592/5000 [1:08:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.058e-02]
lana_lora_wan2.1:  72%|###################################2             | 3592/5000 [1:08:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.058e-02]
lana_lora_wan2.1:  72%|###################################2             | 3593/5000 [1:08:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.654e-02]
lana_lora_wan2.1:  72%|###################################2             | 3593/5000 [1:08:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.654e-02]
lana_lora_wan2.1:  72%|###################################2             | 3594/5000 [1:08:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.102e-02]
lana_lora_wan2.1:  72%|###################################2             | 3594/5000 [1:08:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.102e-02]
lana_lora_wan2.1:  72%|###################################2             | 3595/5000 [1:08:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.052e-02]
lana_lora_wan2.1:  72%|###################################2             | 3595/5000 [1:08:58<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.052e-02]
lana_lora_wan2.1:  72%|###################################2             | 3596/5000 [1:08:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.081e-02]
lana_lora_wan2.1:  72%|###################################2             | 3596/5000 [1:08:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.081e-02]
lana_lora_wan2.1:  72%|###################################2             | 3597/5000 [1:09:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.722e-02]
lana_lora_wan2.1:  72%|###################################2             | 3597/5000 [1:09:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.722e-02]
lana_lora_wan2.1:  72%|###################################2             | 3598/5000 [1:09:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.807e-02]
lana_lora_wan2.1:  72%|###################################2             | 3598/5000 [1:09:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.807e-02]
lana_lora_wan2.1:  72%|###################################2             | 3599/5000 [1:09:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.891e-02]
lana_lora_wan2.1:  72%|###################################2             | 3599/5000 [1:09:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.891e-02]
lana_lora_wan2.1:  72%|###################################2             | 3600/5000 [1:09:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.288e-01]
lana_lora_wan2.1:  72%|###################################2             | 3600/5000 [1:09:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.288e-01]
lana_lora_wan2.1:  72%|###################################2             | 3601/5000 [1:09:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.130e-02]
lana_lora_wan2.1:  72%|###################################2             | 3601/5000 [1:09:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.130e-02]
lana_lora_wan2.1:  72%|###################################2             | 3602/5000 [1:09:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.905e-02]
lana_lora_wan2.1:  72%|###################################2             | 3602/5000 [1:09:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.905e-02]
lana_lora_wan2.1:  72%|###################################3             | 3603/5000 [1:09:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.804e-01]
lana_lora_wan2.1:  72%|###################################3             | 3603/5000 [1:09:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.804e-01]
lana_lora_wan2.1:  72%|###################################3             | 3604/5000 [1:09:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.547e-02]
lana_lora_wan2.1:  72%|###################################3             | 3604/5000 [1:09:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.547e-02]
lana_lora_wan2.1:  72%|###################################3             | 3605/5000 [1:09:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.869e-01]
lana_lora_wan2.1:  72%|###################################3             | 3605/5000 [1:09:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.869e-01]
lana_lora_wan2.1:  72%|###################################3             | 3606/5000 [1:09:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.799e-02]
lana_lora_wan2.1:  72%|###################################3             | 3606/5000 [1:09:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.799e-02]
lana_lora_wan2.1:  72%|###################################3             | 3607/5000 [1:09:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.208e-02]
lana_lora_wan2.1:  72%|###################################3             | 3607/5000 [1:09:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.208e-02]
lana_lora_wan2.1:  72%|###################################3             | 3608/5000 [1:09:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.501e-01]
lana_lora_wan2.1:  72%|###################################3             | 3608/5000 [1:09:12<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.501e-01]
lana_lora_wan2.1:  72%|###################################3             | 3609/5000 [1:09:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.625e-01]
lana_lora_wan2.1:  72%|###################################3             | 3609/5000 [1:09:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.625e-01]
lana_lora_wan2.1:  72%|###################################3             | 3610/5000 [1:09:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.393e-02]
lana_lora_wan2.1:  72%|###################################3             | 3610/5000 [1:09:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.393e-02]
lana_lora_wan2.1:  72%|###################################3             | 3611/5000 [1:09:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.064e-02]
lana_lora_wan2.1:  72%|###################################3             | 3611/5000 [1:09:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.064e-02]
lana_lora_wan2.1:  72%|###################################3             | 3612/5000 [1:09:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.292e-01]
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lana_lora_wan2.1:  72%|###################################4             | 3613/5000 [1:09:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.561e-02]
lana_lora_wan2.1:  72%|###################################4             | 3613/5000 [1:09:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.561e-02]
lana_lora_wan2.1:  72%|###################################4             | 3614/5000 [1:09:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.173e-02]
lana_lora_wan2.1:  72%|###################################4             | 3614/5000 [1:09:17<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.173e-02]
lana_lora_wan2.1:  72%|###################################4             | 3615/5000 [1:09:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.617e-02]
lana_lora_wan2.1:  72%|###################################4             | 3615/5000 [1:09:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.617e-02]
lana_lora_wan2.1:  72%|###################################4             | 3616/5000 [1:09:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.587e-02]
lana_lora_wan2.1:  72%|###################################4             | 3616/5000 [1:09:20<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.587e-02]
lana_lora_wan2.1:  72%|###################################4             | 3617/5000 [1:09:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.330e-01]
lana_lora_wan2.1:  72%|###################################4             | 3617/5000 [1:09:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.330e-01]
lana_lora_wan2.1:  72%|###################################4             | 3618/5000 [1:09:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.882e-02]
lana_lora_wan2.1:  72%|###################################4             | 3618/5000 [1:09:23<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.882e-02]
lana_lora_wan2.1:  72%|###################################4             | 3619/5000 [1:09:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.495e-02]
lana_lora_wan2.1:  72%|###################################4             | 3619/5000 [1:09:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.495e-02]
lana_lora_wan2.1:  72%|###################################4             | 3620/5000 [1:09:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.292e-02]
lana_lora_wan2.1:  72%|###################################4             | 3620/5000 [1:09:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.292e-02]
lana_lora_wan2.1:  72%|###################################4             | 3621/5000 [1:09:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.198e-02]
lana_lora_wan2.1:  72%|###################################4             | 3621/5000 [1:09:27<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.198e-02]
lana_lora_wan2.1:  72%|###################################4             | 3622/5000 [1:09:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.509e-02]
lana_lora_wan2.1:  72%|###################################4             | 3622/5000 [1:09:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.509e-02]
lana_lora_wan2.1:  72%|###################################5             | 3623/5000 [1:09:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.868e-02]
lana_lora_wan2.1:  72%|###################################5             | 3623/5000 [1:09:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.868e-02]
lana_lora_wan2.1:  72%|###################################5             | 3624/5000 [1:09:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.087e-02]
lana_lora_wan2.1:  72%|###################################5             | 3624/5000 [1:09:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.087e-02]
lana_lora_wan2.1:  72%|###################################5             | 3625/5000 [1:09:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.787e-02]
lana_lora_wan2.1:  72%|###################################5             | 3625/5000 [1:09:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.787e-02]
lana_lora_wan2.1:  73%|###################################5             | 3626/5000 [1:09:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.641e-02]
lana_lora_wan2.1:  73%|###################################5             | 3626/5000 [1:09:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.641e-02]
lana_lora_wan2.1:  73%|###################################5             | 3627/5000 [1:09:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.983e-02]
lana_lora_wan2.1:  73%|###################################5             | 3627/5000 [1:09:33<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.983e-02]
lana_lora_wan2.1:  73%|###################################5             | 3628/5000 [1:09:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.213e-02]
lana_lora_wan2.1:  73%|###################################5             | 3628/5000 [1:09:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.213e-02]
lana_lora_wan2.1:  73%|###################################5             | 3629/5000 [1:09:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.667e-02]
lana_lora_wan2.1:  73%|###################################5             | 3629/5000 [1:09:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.667e-02]
lana_lora_wan2.1:  73%|###################################5             | 3630/5000 [1:09:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.007e-02]
lana_lora_wan2.1:  73%|###################################5             | 3630/5000 [1:09:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.007e-02]
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lana_lora_wan2.1:  73%|###################################5             | 3631/5000 [1:09:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.549e-01]
lana_lora_wan2.1:  73%|###################################5             | 3632/5000 [1:09:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.504e-02]
lana_lora_wan2.1:  73%|###################################5             | 3632/5000 [1:09:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.504e-02]
lana_lora_wan2.1:  73%|###################################6             | 3633/5000 [1:09:38<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.330e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3634/5000 [1:09:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.162e-01]
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lana_lora_wan2.1:  73%|###################################6             | 3635/5000 [1:09:41<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.340e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3636/5000 [1:09:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.168e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3637/5000 [1:09:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.020e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3640/5000 [1:09:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.168e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3641/5000 [1:09:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.986e-02]
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lana_lora_wan2.1:  73%|###################################6             | 3642/5000 [1:09:51<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.478e-02]
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Saving at step 3750
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000003750.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000002750.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:16,  1.50it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.51it/s]




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 12%|############6                                                                                            | 3/25 [00:01<00:14,  1.50it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]




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Saving at step 4000
Saved checkpoint to /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000004000.safetensors
Saved optimizer to /root/lab/ai-toolkit/output/lana_lora_wan2.1/optimizer.pt
Removing old save: /root/lab/ai-toolkit/output/lana_lora_wan2.1/lana_lora_wan2.1_000003000.safetensors



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  4%|####2                                                                                                    | 1/25 [00:00<00:16,  1.48it/s]




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  8%|########4                                                                                                | 2/25 [00:01<00:15,  1.49it/s]




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 12%|############6                                                                                            | 3/25 [00:02<00:14,  1.49it/s]




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 24%|#########################2                                                                               | 6/25 [00:03<00:12,  1.51it/s]




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 28%|#############################4                                                                           | 7/25 [00:04<00:11,  1.51it/s]




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lana_lora_wan2.1:  80%|#######################################2         | 4000/5000 [1:16:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.157e-01]
lana_lora_wan2.1:  80%|#######################################2         | 4000/5000 [1:16:45<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.157e-01]
lana_lora_wan2.1:  80%|#######################################2         | 4001/5000 [1:16:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.677e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4001/5000 [1:16:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.677e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4002/5000 [1:16:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.289e-01]
lana_lora_wan2.1:  80%|#######################################2         | 4002/5000 [1:16:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.289e-01]
lana_lora_wan2.1:  80%|#######################################2         | 4003/5000 [1:16:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.676e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4003/5000 [1:16:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.676e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4004/5000 [1:16:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.910e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4004/5000 [1:16:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.910e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4005/5000 [1:16:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.382e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4005/5000 [1:16:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.382e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4006/5000 [1:16:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.558e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4006/5000 [1:16:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.558e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4007/5000 [1:16:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.374e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4007/5000 [1:16:53<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.374e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4008/5000 [1:16:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.035e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4008/5000 [1:16:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.035e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4009/5000 [1:16:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.134e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4009/5000 [1:16:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.134e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4010/5000 [1:16:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.516e-02]
lana_lora_wan2.1:  80%|#######################################2         | 4010/5000 [1:16:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.516e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4011/5000 [1:16:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.962e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4011/5000 [1:16:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.962e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4012/5000 [1:16:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.954e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4012/5000 [1:16:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.954e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4013/5000 [1:16:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.130e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4013/5000 [1:16:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.130e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4014/5000 [1:17:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.118e-01]
lana_lora_wan2.1:  80%|#######################################3         | 4014/5000 [1:17:00<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.118e-01]
lana_lora_wan2.1:  80%|#######################################3         | 4015/5000 [1:17:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.962e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4015/5000 [1:17:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.962e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4016/5000 [1:17:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.197e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4016/5000 [1:17:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.197e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4017/5000 [1:17:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.125e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4017/5000 [1:17:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.125e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4018/5000 [1:17:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.818e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4018/5000 [1:17:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.818e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4019/5000 [1:17:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.537e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4019/5000 [1:17:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 9.537e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4020/5000 [1:17:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.082e-02]
lana_lora_wan2.1:  80%|#######################################3         | 4020/5000 [1:17:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.082e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4021/5000 [1:17:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.821e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4021/5000 [1:17:08<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.821e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4022/5000 [1:17:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.384e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4022/5000 [1:17:10<00:00, 7019.99it/s, lr: 1.0e-04 loss: 8.384e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4023/5000 [1:17:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.937e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4023/5000 [1:17:11<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.937e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4024/5000 [1:17:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.063e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4024/5000 [1:17:13<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.063e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4025/5000 [1:17:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.444e-02]
lana_lora_wan2.1:  80%|#######################################4         | 4025/5000 [1:17:14<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.444e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4026/5000 [1:17:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.559e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4026/5000 [1:17:15<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.559e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4027/5000 [1:17:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.376e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4027/5000 [1:17:16<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.376e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4028/5000 [1:17:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.210e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4028/5000 [1:17:18<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.210e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4029/5000 [1:17:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.912e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4029/5000 [1:17:19<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.912e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4030/5000 [1:17:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.024e-02]
lana_lora_wan2.1:  81%|#######################################4         | 4030/5000 [1:17:21<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.024e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4031/5000 [1:17:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.924e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4031/5000 [1:17:22<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.924e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4032/5000 [1:17:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.283e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4032/5000 [1:17:24<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.283e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4033/5000 [1:17:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.634e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4033/5000 [1:17:25<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.634e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4034/5000 [1:17:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.476e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4034/5000 [1:17:26<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.476e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4035/5000 [1:17:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.362e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4035/5000 [1:17:28<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.362e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4036/5000 [1:17:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.901e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4036/5000 [1:17:30<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.901e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4037/5000 [1:17:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.855e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4037/5000 [1:17:31<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.855e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4038/5000 [1:17:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.555e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4038/5000 [1:17:32<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.555e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4039/5000 [1:17:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.222e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4039/5000 [1:17:34<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.222e-01]
lana_lora_wan2.1:  81%|#######################################5         | 4040/5000 [1:17:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.424e-02]
lana_lora_wan2.1:  81%|#######################################5         | 4040/5000 [1:17:35<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.424e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4041/5000 [1:17:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.159e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4041/5000 [1:17:36<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.159e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4042/5000 [1:17:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.919e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4042/5000 [1:17:37<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.919e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4043/5000 [1:17:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.845e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4043/5000 [1:17:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.845e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4044/5000 [1:17:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.854e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4044/5000 [1:17:39<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.854e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4045/5000 [1:17:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.841e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4045/5000 [1:17:40<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.841e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4046/5000 [1:17:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.624e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4046/5000 [1:17:42<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.624e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4047/5000 [1:17:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.775e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4047/5000 [1:17:43<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.775e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4048/5000 [1:17:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.660e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4048/5000 [1:17:44<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.660e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4049/5000 [1:17:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.792e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4049/5000 [1:17:46<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.792e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4050/5000 [1:17:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.537e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4050/5000 [1:17:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.537e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4051/5000 [1:17:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.063e-02]
lana_lora_wan2.1:  81%|#######################################6         | 4051/5000 [1:17:47<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.063e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4052/5000 [1:17:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.062e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4052/5000 [1:17:48<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.062e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4053/5000 [1:17:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.779e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4053/5000 [1:17:49<00:00, 7019.99it/s, lr: 1.0e-04 loss: 7.779e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4054/5000 [1:17:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.168e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4054/5000 [1:17:50<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.168e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4055/5000 [1:17:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.769e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4055/5000 [1:17:52<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.769e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4056/5000 [1:17:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.432e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4056/5000 [1:17:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.432e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4057/5000 [1:17:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.167e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4057/5000 [1:17:54<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.167e-01]
lana_lora_wan2.1:  81%|#######################################7         | 4058/5000 [1:17:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.059e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4058/5000 [1:17:56<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.059e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4059/5000 [1:17:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.746e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4059/5000 [1:17:57<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.746e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4060/5000 [1:17:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.128e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4060/5000 [1:17:59<00:00, 7019.99it/s, lr: 1.0e-04 loss: 6.128e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4061/5000 [1:18:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.254e-02]
lana_lora_wan2.1:  81%|#######################################7         | 4061/5000 [1:18:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.254e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4062/5000 [1:18:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.763e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4062/5000 [1:18:01<00:00, 7019.99it/s, lr: 1.0e-04 loss: 2.763e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4063/5000 [1:18:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.251e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4063/5000 [1:18:02<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.251e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4064/5000 [1:18:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.834e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4064/5000 [1:18:03<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.834e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4065/5000 [1:18:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.705e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4065/5000 [1:18:04<00:00, 7019.99it/s, lr: 1.0e-04 loss: 1.705e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4066/5000 [1:18:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.012e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4066/5000 [1:18:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.012e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4067/5000 [1:18:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.297e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4067/5000 [1:18:05<00:00, 7019.99it/s, lr: 1.0e-04 loss: 4.297e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4068/5000 [1:18:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.046e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4068/5000 [1:18:06<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.046e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4069/5000 [1:18:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.049e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4069/5000 [1:18:07<00:00, 7019.99it/s, lr: 1.0e-04 loss: 3.049e-01]
lana_lora_wan2.1:  81%|#######################################8         | 4070/5000 [1:18:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.035e-02]
lana_lora_wan2.1:  81%|#######################################8         | 4070/5000 [1:18:09<00:00, 7019.99it/s, lr: 1.0e-04 loss: 5.035e-02]Error running job: Job stopped

========================================
Result:
 - 0 completed jobs
 - 1 failure
========================================
Traceback (most recent call last):
Traceback (most recent call last):
  File "/root/lab/ai-toolkit/run.py", line 120, in <module>
  File "/root/lab/ai-toolkit/run.py", line 120, in <module>
        main()main()

  File "/root/lab/ai-toolkit/run.py", line 108, in main
  File "/root/lab/ai-toolkit/run.py", line 108, in main
        raise eraise e

  File "/root/lab/ai-toolkit/run.py", line 96, in main
  File "/root/lab/ai-toolkit/run.py", line 96, in main
        job.run()job.run()

  File "/root/lab/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
  File "/root/lab/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
        process.run()process.run()

  File "/root/lab/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2353, in run
  File "/root/lab/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2353, in run
        self.end_step_hook()self.end_step_hook()

  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
        self.maybe_stop()self.maybe_stop()

  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
  File "/root/lab/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
        raise Exception("Job stopped")raise Exception("Job stopped")

ExceptionException: : Job stoppedJob stopped


lana_lora_wan2.1:  81%|#########################################5         | 4071/5000 [1:18:11<17:50,  1.15s/it, lr: 1.0e-04 loss: 5.035e-02]
lana_lora_wan2.1:  81%|#########################################5         | 4071/5000 [1:18:11<17:50,  1.15s/it, lr: 1.0e-04 loss: 5.035e-02]