Instructions to use Saad381/Spectra-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saad381/Spectra-V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Saad381/Spectra-V1") prompt = "A cyberpunk car" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Delete logs
Browse files- logs/dreambooth-lora-sd-xl/1732031843.8685691/events.out.tfevents.1732031843.a2456edc420a.1682.1 +0 -3
- logs/dreambooth-lora-sd-xl/1732031843.8702958/hparams.yml +0 -70
- logs/dreambooth-lora-sd-xl/1732074823.169661/events.out.tfevents.1732074823.c6b31d008c09.2861.1 +0 -3
- logs/dreambooth-lora-sd-xl/1732074823.1716876/hparams.yml +0 -70
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1732031843.a2456edc420a.1682.0 +0 -3
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1732074823.c6b31d008c09.2861.0 +0 -3
logs/dreambooth-lora-sd-xl/1732031843.8685691/events.out.tfevents.1732031843.a2456edc420a.1682.1
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth-lora-sd-xl/1732031843.8702958/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: text
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center_crop: false
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checkpointing_steps: 717
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: Saad381/SpectraDS
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do_edm_style_training: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 3
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: null
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instance_prompt: a spiderman
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 8
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num_validation_images: 4
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optimizer: AdamW
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output_dir: Spectra-V1
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output_kohya_format: false
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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random_flip: false
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rank: 4
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repeats: 1
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: 0
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snr_gamma: 5.0
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: true
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use_dora: false
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validation_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/1732074823.169661/events.out.tfevents.1732074823.c6b31d008c09.2861.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3aaedb714813904fb4a3c8d28437ef85f8adcdfc052ea58e222d6ebeca3ca6ef
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size 3299
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logs/dreambooth-lora-sd-xl/1732074823.1716876/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: text
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center_crop: false
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checkpointing_steps: 717
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: SpectraDS
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do_edm_style_training: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 3
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: null
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instance_prompt: a cat sitting on chair
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 8
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num_validation_images: 4
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optimizer: AdamW
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output_dir: Spectra-V1
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output_kohya_format: false
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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random_flip: false
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rank: 4
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repeats: 1
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: 0
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snr_gamma: 5.0
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: true
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use_dora: false
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validation_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1732031843.a2456edc420a.1682.0
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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