Instructions to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-t2v-a14b-diffusers-bf16 AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16
- Wan2.2
How to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 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:
- 9384d0df56658cacaf5fd2e56395d9a05d0f1f06b8d77a2b8c17db5c114b73d4
- Size of remote file:
- 254 MB
- SHA256:
- e3d43fd7e6e6370daf762a357d4fab09f34118d0b9f9dc383f322fffe0db0411
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