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
- Xet hash:
- 83528ad443260c9e4d5c816a70d4cf3ede942f6cd1706a0b716e8f6b1356f971
- Size of remote file:
- 8.38 GB
- SHA256:
- 0152aeb12c6154dd666702f3b85015118ae10fa60ea0acc969eef0b244eed246
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