Instructions to use nvidia/Cosmos3-Edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Edge with Cosmos:
# 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
Add SGLang usage section to the Cosmos3-Edge model card
#53
by majchrow - opened
Adds an SGLang Diffusion usage section to the model card.
Contents:
- Install block and serve command. Cosmos3-Edge fits comfortably on one GPU, so
--dit-cpu-offload falsekeeps the transformer resident; additional GPUs use Ulysses sequence parallelism or CFG parallelism. - Table of the supported endpoints (text-to-image, text-to-video, image-to-video).
- The per-mode defaults SGLang applies (640x640 / guidance 7.0 for text-to-image, 832x480 / guidance 5.0 for video, flow shift 3.0) and the list of supported sizes, since the model is trained at 256p and 480p.
- Image-to-video, text-to-video and text-to-image examples, verified end-to-end.
Please do not merge yet - holding until Cosmos 3 support is merged into SGLang: sgl-project/sglang#31590.