Instructions to use DeepBeepMeep/Wan2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/Wan2.1 with Diffusion Single File:
# 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
Download loras_i2v/VIP.lset from DeepBeepMeep/Wan2.1: direct link, hf CLI and curl.
- Browser
- Download file 673 Bytes
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https://huggingface.co/DeepBeepMeep/Wan2.1/resolve/main/loras_i2v/VIP.lset
- Command line
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hf download hf://DeepBeepMeep/Wan2.1/loras_i2v/VIP.lset
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curl -L -o VIP.lset https://huggingface.co/DeepBeepMeep/Wan2.1/resolve/main/loras_i2v/VIP.lset
673 Bytes
| {"loras": ["vip_50_epochs.safetensors"], "loras_mult": "", "prompt": "! {Subject}=\"girl\"\nThe video begins with an image of a {Subject}. Then the v1p red carpet transformation appears. The {Subject} is shown wearing a black dress, with gold jewelry around his neck and ears. The image is again of the {Subject} looking straight at the camera against a more lighted gray background. The v1p red carpet transformation continues, the {Subject} is now on the red carpet with photographers taking pictures and other people behind a barricade to the sides. The {Subject} is wearing the same black dress and jewelry, in focus at the center of the frame.\n", "full_prompt": true} |