Video-to-Video
Wan2.2
English
custom
world-model
video-generation
physical-ai
physics
flow-matching
dpo
Instructions to use NU-World-Model-Embodied-AI/phyworld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use NU-World-Model-Embodied-AI/phyworld 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

- Xet hash:
- 2a8740bf42e7b62c9bf14c8b6ef49e4a10ddafd2dae4e260976ebbcd23077793
- Size of remote file:
- 202 kB
- SHA256:
- 75ee012dcfb08365bec67a3ec7afc126fc2817f79b9f80e38711792d4770e32b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.