Text-to-Video
Diffusers
Safetensors
English
t2v
text to video
ghibli-video
ghibli video
t2v-lora
t2v lora
t2v ghibli
t2v-ghibli
Instructions to use danhtran2mind/zeroscope_v2_576w-Ghibli-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danhtran2mind/zeroscope_v2_576w-Ghibli-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danhtran2mind/zeroscope_v2_576w-Ghibli-LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files- cached_latents/cached_100.pt +3 -0
- cached_latents/cached_113.pt +3 -0
- cached_latents/cached_124.pt +3 -0
- cached_latents/cached_126.pt +3 -0
- cached_latents/cached_129.pt +3 -0
- cached_latents/cached_130.pt +3 -0
- cached_latents/cached_142.pt +3 -0
- cached_latents/cached_145.pt +3 -0
- cached_latents/cached_150.pt +3 -0
- cached_latents/cached_169.pt +3 -0
- cached_latents/cached_170.pt +3 -0
- cached_latents/cached_184.pt +3 -0
- cached_latents/cached_186.pt +3 -0
- cached_latents/cached_19.pt +3 -0
- cached_latents/cached_193.pt +3 -0
- cached_latents/cached_194.pt +3 -0
- cached_latents/cached_196.pt +3 -0
- cached_latents/cached_198.pt +3 -0
- cached_latents/cached_2.pt +3 -0
- cached_latents/cached_202.pt +3 -0
- cached_latents/cached_203.pt +3 -0
- cached_latents/cached_216.pt +3 -0
- cached_latents/cached_222.pt +3 -0
- cached_latents/cached_226.pt +3 -0
- cached_latents/cached_228.pt +3 -0
- cached_latents/cached_23.pt +3 -0
- cached_latents/cached_231.pt +3 -0
- cached_latents/cached_232.pt +3 -0
- cached_latents/cached_31.pt +3 -0
- cached_latents/cached_32.pt +3 -0
- cached_latents/cached_39.pt +3 -0
- cached_latents/cached_40.pt +3 -0
- cached_latents/cached_44.pt +3 -0
- cached_latents/cached_54.pt +3 -0
- cached_latents/cached_55.pt +3 -0
- cached_latents/cached_58.pt +3 -0
- cached_latents/cached_82.pt +3 -0
- cached_latents/cached_9.pt +3 -0
- cached_latents/cached_90.pt +3 -0
- cached_latents/cached_93.pt +3 -0
- cached_latents/cached_98.pt +3 -0
- checkpoint-5000/spatial/lora/5000_unet.pt +3 -0
- checkpoint-5000/temporal/lora/5000_unet.pt +3 -0
- checkpoint-5000/text_encoder/config.json +24 -0
- checkpoint-5000/vae/config.json +38 -0
- checkpoint-5000/vae/diffusion_pytorch_model.safetensors +3 -0
- config.yaml +72 -0
- text_encoder/config.json +24 -0
- vae/config.json +38 -0
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checkpoint-5000/spatial/lora/5000_unet.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:776ec7fe18a391b0cb1c27080d152dd48a08525af653393f0ecea6cc2d9d64a3
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| 3 |
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size 17628410
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checkpoint-5000/temporal/lora/5000_unet.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ab6d1e85550616b981e554bd0e7269632853c126e1aaa929faeeb29a67749ad
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| 3 |
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size 25044794
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checkpoint-5000/text_encoder/config.json
ADDED
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@@ -0,0 +1,24 @@
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{
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| 2 |
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"architectures": [
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| 3 |
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"CLIPTextModel"
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| 4 |
+
],
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| 5 |
+
"attention_dropout": 0.0,
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| 6 |
+
"bos_token_id": 0,
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| 7 |
+
"dropout": 0.0,
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| 8 |
+
"eos_token_id": 2,
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| 9 |
+
"hidden_act": "gelu",
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| 10 |
+
"hidden_size": 1024,
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| 11 |
+
"initializer_factor": 1.0,
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| 12 |
+
"initializer_range": 0.02,
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| 13 |
+
"intermediate_size": 4096,
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| 14 |
+
"layer_norm_eps": 1e-05,
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| 15 |
+
"max_position_embeddings": 77,
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| 16 |
+
"model_type": "clip_text_model",
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| 17 |
+
"num_attention_heads": 16,
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| 18 |
+
"num_hidden_layers": 23,
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| 19 |
+
"pad_token_id": 1,
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| 20 |
+
"projection_dim": 512,
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| 21 |
+
"torch_dtype": "float32",
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| 22 |
+
"transformers_version": "4.52.4",
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| 23 |
+
"vocab_size": 49408
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| 24 |
+
}
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checkpoint-5000/vae/config.json
ADDED
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@@ -0,0 +1,38 @@
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| 1 |
+
{
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| 2 |
+
"_class_name": "AutoencoderKL",
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| 3 |
+
"_diffusers_version": "0.34.0",
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| 4 |
+
"_name_or_path": "./ckpts/zeroscope_v2_576w",
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| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"block_out_channels": [
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| 7 |
+
128,
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| 8 |
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256,
|
| 9 |
+
512,
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| 10 |
+
512
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| 11 |
+
],
|
| 12 |
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"down_block_types": [
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| 13 |
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"DownEncoderBlock2D",
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| 14 |
+
"DownEncoderBlock2D",
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| 15 |
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"DownEncoderBlock2D",
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| 16 |
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"DownEncoderBlock2D"
|
| 17 |
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],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
+
"in_channels": 3,
|
| 20 |
+
"latent_channels": 4,
|
| 21 |
+
"latents_mean": null,
|
| 22 |
+
"latents_std": null,
|
| 23 |
+
"layers_per_block": 2,
|
| 24 |
+
"mid_block_add_attention": true,
|
| 25 |
+
"norm_num_groups": 32,
|
| 26 |
+
"out_channels": 3,
|
| 27 |
+
"sample_size": 512,
|
| 28 |
+
"scaling_factor": 0.18215,
|
| 29 |
+
"shift_factor": null,
|
| 30 |
+
"up_block_types": [
|
| 31 |
+
"UpDecoderBlock2D",
|
| 32 |
+
"UpDecoderBlock2D",
|
| 33 |
+
"UpDecoderBlock2D",
|
| 34 |
+
"UpDecoderBlock2D"
|
| 35 |
+
],
|
| 36 |
+
"use_post_quant_conv": true,
|
| 37 |
+
"use_quant_conv": true
|
| 38 |
+
}
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checkpoint-5000/vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:fc436097e5cbb105c44df4403ae84acf7e81de1f64acfedc334888e9a8eea223
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| 3 |
+
size 334643268
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config.yaml
ADDED
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@@ -0,0 +1,72 @@
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| 1 |
+
pretrained_model_path: ./ckpts/zeroscope_v2_576w
|
| 2 |
+
output_dir: ./zeroscope_v2_576w-Ghibli-LoRA
|
| 3 |
+
train_data:
|
| 4 |
+
path: ./data/ghibli/videos
|
| 5 |
+
width: 384
|
| 6 |
+
height: 384
|
| 7 |
+
use_bucketing: true
|
| 8 |
+
gradient_accumulation_steps: 2
|
| 9 |
+
batch_size: 1
|
| 10 |
+
sample_start_idx: 1
|
| 11 |
+
fps: 16
|
| 12 |
+
frame_step: 1
|
| 13 |
+
n_sample_frames: 24
|
| 14 |
+
validation_data:
|
| 15 |
+
prompt:
|
| 16 |
+
- Anime style desert with brown-beige hills, clear sky, sparse clouds, no life,
|
| 17 |
+
emphasizing barren desolation.
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| 18 |
+
- Anime style cherry blossoms, white-pink petals, yellow stamens, dark branches,
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| 19 |
+
blurred background, highlighting still beauty.
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| 20 |
+
sample_preview: false
|
| 21 |
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num_frames: 24
|
| 22 |
+
width: 384
|
| 23 |
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height: 384
|
| 24 |
+
num_inference_steps: 15
|
| 25 |
+
guidance_scale: 12
|
| 26 |
+
spatial_scale: 0
|
| 27 |
+
noise_prior: 0
|
| 28 |
+
single_spatial_lora: true
|
| 29 |
+
train_temporal_lora: true
|
| 30 |
+
random_hflip_img: -1
|
| 31 |
+
extra_train_data: []
|
| 32 |
+
max_spatial_loras: 10
|
| 33 |
+
dataset_types:
|
| 34 |
+
- folder
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| 35 |
+
validation_steps: 5000
|
| 36 |
+
trainable_modules: null
|
| 37 |
+
extra_unet_params: null
|
| 38 |
+
train_batch_size: 1
|
| 39 |
+
max_train_steps: 5000
|
| 40 |
+
learning_rate: 0.0005
|
| 41 |
+
lr_scheduler: constant
|
| 42 |
+
lr_warmup_steps: 0
|
| 43 |
+
adam_beta1: 0.9
|
| 44 |
+
adam_beta2: 0.999
|
| 45 |
+
adam_weight_decay: 0.0001
|
| 46 |
+
adam_epsilon: 1.0e-08
|
| 47 |
+
gradient_accumulation_steps: 1
|
| 48 |
+
gradient_checkpointing: true
|
| 49 |
+
text_encoder_gradient_checkpointing: true
|
| 50 |
+
checkpointing_steps: 5000
|
| 51 |
+
resume_from_checkpoint: null
|
| 52 |
+
resume_step: null
|
| 53 |
+
mixed_precision: fp16
|
| 54 |
+
use_8bit_adam: true
|
| 55 |
+
enable_xformers_memory_efficient_attention: true
|
| 56 |
+
enable_torch_2_attn: true
|
| 57 |
+
seed: null
|
| 58 |
+
use_offset_noise: false
|
| 59 |
+
rescale_schedule: false
|
| 60 |
+
offset_noise_strength: 0.0
|
| 61 |
+
extend_dataset: false
|
| 62 |
+
cache_latents: true
|
| 63 |
+
cached_latent_dir: null
|
| 64 |
+
use_unet_lora: true
|
| 65 |
+
unet_lora_modules: []
|
| 66 |
+
text_encoder_lora_modules: []
|
| 67 |
+
save_pretrained_model: true
|
| 68 |
+
lora_rank: 16
|
| 69 |
+
lora_path: ''
|
| 70 |
+
lora_unet_dropout: 0.1
|
| 71 |
+
logger_type: tensorboard
|
| 72 |
+
kwargs: {}
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text_encoder/config.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"CLIPTextModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 0,
|
| 7 |
+
"dropout": 0.0,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_size": 1024,
|
| 11 |
+
"initializer_factor": 1.0,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 4096,
|
| 14 |
+
"layer_norm_eps": 1e-05,
|
| 15 |
+
"max_position_embeddings": 77,
|
| 16 |
+
"model_type": "clip_text_model",
|
| 17 |
+
"num_attention_heads": 16,
|
| 18 |
+
"num_hidden_layers": 23,
|
| 19 |
+
"pad_token_id": 1,
|
| 20 |
+
"projection_dim": 512,
|
| 21 |
+
"torch_dtype": "float32",
|
| 22 |
+
"transformers_version": "4.52.4",
|
| 23 |
+
"vocab_size": 49408
|
| 24 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "./ckpts/zeroscope_v2_576w",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"block_out_channels": [
|
| 7 |
+
128,
|
| 8 |
+
256,
|
| 9 |
+
512,
|
| 10 |
+
512
|
| 11 |
+
],
|
| 12 |
+
"down_block_types": [
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D"
|
| 17 |
+
],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
+
"in_channels": 3,
|
| 20 |
+
"latent_channels": 4,
|
| 21 |
+
"latents_mean": null,
|
| 22 |
+
"latents_std": null,
|
| 23 |
+
"layers_per_block": 2,
|
| 24 |
+
"mid_block_add_attention": true,
|
| 25 |
+
"norm_num_groups": 32,
|
| 26 |
+
"out_channels": 3,
|
| 27 |
+
"sample_size": 512,
|
| 28 |
+
"scaling_factor": 0.18215,
|
| 29 |
+
"shift_factor": null,
|
| 30 |
+
"up_block_types": [
|
| 31 |
+
"UpDecoderBlock2D",
|
| 32 |
+
"UpDecoderBlock2D",
|
| 33 |
+
"UpDecoderBlock2D",
|
| 34 |
+
"UpDecoderBlock2D"
|
| 35 |
+
],
|
| 36 |
+
"use_post_quant_conv": true,
|
| 37 |
+
"use_quant_conv": true
|
| 38 |
+
}
|