Instructions to use alibaba-pai/Wan2.2-Fun-Reward-LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VideoX Fun
How to use alibaba-pai/Wan2.2-Fun-Reward-LoRAs with VideoX Fun:
# 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
- Xet hash:
- 0be8f7c7e51befabcfdd41641f6b9f80da4ebc5a1e0339fb620305e33eb1cd85
- Size of remote file:
- 858 MB
- SHA256:
- 35d01494414114c7d73d93f363adaedf138bfdfa08f64d2f2055857751f881f3
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