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
- Xet hash:
- ac6f201d71a08ca321351d7d8f002ba6ec5717def76c78e595a93371ea0ddf92
- Size of remote file:
- 11.4 GB
- SHA256:
- 2072e11547eb3805ec8b9a4f4fd3d845ccc78dd22e1dd8024869250b1b387465
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