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:
- a5f7affd1c7095a57f11758735096904f86e1a9885736e5cbb06ea0dd6cbeecf
- Size of remote file:
- 858 MB
- SHA256:
- e64ba89881720c4fc7db898a3976472a9c5e26fe3973e7b0760c8f8c7fb4ca9d
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