Image-Text-to-Video
Wan2.2
bernini_renderer
text-to-video
video-to-video
image-to-video
wan2.1
bernini
fp8
comfyui
NVFP4
Instructions to use rzgar/Bernini-R-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use rzgar/Bernini-R-nvfp4 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
Download config.json from rzgar/Bernini-R-nvfp4: direct link, hf CLI and curl.
- Browser
- Download file 141 Bytes
-
https://huggingface.co/rzgar/Bernini-R-nvfp4/resolve/main/config.json
- Command line
-
hf download hf://rzgar/Bernini-R-nvfp4/config.json
-
curl -L -o config.json https://huggingface.co/rzgar/Bernini-R-nvfp4/resolve/main/config.json
141 Bytes
| { | |
| "model_type": "bernini_renderer", | |
| "architectures": ["BerniniRendererModel"], | |
| "wan22_base": "Wan-AI/Wan2.2-T2V-A14B-Diffusers" | |
| } |