Instructions to use SceneWorks/wan2.2-ti2v-5b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/wan2.2-ti2v-5b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-ti2v-5b-mlx SceneWorks/wan2.2-ti2v-5b-mlx
- Wan2.2
How to use SceneWorks/wan2.2-ti2v-5b-mlx with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- config.json +48 -0
- model.safetensors +3 -0
- t5_encoder.safetensors +3 -0
- tokenizer.json +3 -0
- vae.safetensors +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"boundary": 0.0,
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"cross_attn_norm": true,
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"dim": 3072,
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"dual_model": false,
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"eps": 1e-6,
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"ffn_dim": 14336,
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"frame_num": 81,
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"freq_dim": 256,
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"in_dim": 48,
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"max_area": 901120,
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"model_type": "ti2v",
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"model_version": "2.2",
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"num_heads": 24,
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"num_layers": 30,
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"num_train_timesteps": 1000,
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"out_dim": 48,
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"patch_size": [
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1,
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2,
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2
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],
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"qk_norm": true,
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"sample_fps": 24,
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"sample_guide_scale": 5.0,
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"sample_neg_prompt": "色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走",
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"sample_shift": 5.0,
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"sample_steps": 40,
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"t5_dim": 4096,
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"t5_dim_attn": 4096,
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"t5_dim_ffn": 10240,
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"t5_num_buckets": 32,
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"t5_num_heads": 64,
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"t5_num_layers": 24,
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"t5_vocab_size": 256384,
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"text_dim": 4096,
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"text_len": 512,
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"vae_stride": [
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4,
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16,
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16
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],
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"vae_z_dim": 48,
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"window_size": [
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-1,
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-1
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]
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:797317133d58b2fef2b50ddc452c13a32edec87e3b119223c53b90894f7b3454
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size 9999659976
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t5_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2072e11547eb3805ec8b9a4f4fd3d845ccc78dd22e1dd8024869250b1b387465
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size 11361845631
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e197b4d3dbd71da14b4eb255f4fa91c9c1f2068b20a2de2472967ca3d22602b
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size 16837417
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vae.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d78f8b02e0058ec717672a916a7cb150fa868d6cd2311c7db1541db3274d6b81
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size 2818778910
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