Cosmos
Diffusers
Safetensors
cosmos3_omni
nvidia
cosmos3
vllm
vllm-omni
sglang
sglang-diffusion
text, image, video, audio, and action generation
omnimodel
Instructions to use nvidia/Cosmos3-Super-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-FP8 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
- Diffusers
How to use nvidia/Cosmos3-Super-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos3-Super-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
-
Regenerate Diffusers T2V example with Super FP8 (#8)
- Regenerate Diffusers T2V example with Super FP8 (3ab63bcfc601471c87fbddf8619a7ab5e48db65d) Co-authored-by: Yiming Zhao <ConstBob@users.noreply.huggingface.co>88d5a69
30 days ago
-
Add Cosmos3 Super FP8 snapshot (#1)
- Track Super FP8 tokenizer and example assets (b0da4ea638c34b94c0f90236a195759736249bf4) - Add Cosmos3 Super FP8 snapshot files (8ee88c146703d02bad9dac91decbb5c4fa1b3552) Co-authored-by: Wojciech Kutak <wkutak@users.noreply.huggingface.co>4dd8d27