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SceneWorks
/
wan2.2-t2v-a14b-mlx

Text-to-Video
MLX
Safetensors
Wan2.2
t2v
apple-silicon
video-generation
mixture-of-experts
Model card Files Files and versions
xet
Community

Instructions to use SceneWorks/wan2.2-t2v-a14b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use SceneWorks/wan2.2-t2v-a14b-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir wan2.2-t2v-a14b-mlx SceneWorks/wan2.2-t2v-a14b-mlx
  • Wan2.2

    How to use SceneWorks/wan2.2-t2v-a14b-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
wan2.2-t2v-a14b-mlx
69 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SceneWorks's picture
SceneWorks
Add Apache-2.0 LICENSE text (sc-5604: satisfy redistribution obligation — include a copy of the license with the redistributed weights)
23b2434 verified 9 days ago
  • .gitattributes
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  • LICENSE
    11.4 kB
    Add Apache-2.0 LICENSE text (sc-5604: satisfy redistribution obligation — include a copy of the license with the redistributed weights) 9 days ago
  • README.md
    1.61 kB
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  • config.json
    1.24 kB
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  • high_noise_model.safetensors
    28.6 GB
    xet
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  • low_noise_model.safetensors
    28.6 GB
    xet
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  • t5_encoder.safetensors
    11.4 GB
    xet
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  • tokenizer.json
    16.8 MB
    xet
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  • vae.safetensors
    508 MB
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