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
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Sync Quality Benchmark from reviewed MR !13060
Verified signatureSync only the complete Quality Benchmark section from GitLab MR !13060 at eddc7e7a1f221b6f31ec6c107e32e91d8fc31bea. Preserve all other README sections and repository files unchanged.db533ab
3 days ago
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Update sglang description; remove unused assets (#7)
- remove benchmark images; update sglang description (50e4ae6f1682c6244fd33b5137ea5ea32467348c) Co-authored-by: Mu-Ti Chung <mutic@users.noreply.huggingface.co>b4d3ff2 -
Integrate reviewed Cosmos3-Super-FP8 model card with current usage and performance
Verified signatureUse the reviewed MR overview, quality benchmarks, and training/evaluation datasets; retain current HF usage examples and performance measurements. Add the PNG relationship diagram, set release date to November 9, 2026, and correct precision and section links. Exclude internal-only sections. Existing shared subcards are unchanged.c20eece -
docs: fix Diffusers FP8 checkpoint restore (#4)
- docs: fix Diffusers FP8 checkpoint restore (9057e2e9a98ab6865803210ff6f01b825498e16d) Co-authored-by: Yiming Zhao <ConstBob@users.noreply.huggingface.co>382840d -
Update vLLM, SGLang and vLLM-Omni examples; refresh generated examples from FP8 (#6)
- Update vLLM, SGLang and vLLM-Omni examples; refresh generated examples from FP8 (5dae7f8589fc5e566bc7e0cfeb0f27c318213260) - Cap huggingface_hub below 2 and note the Rust toolchain requirement for the SGLang editable install (891647b053fd92ef727cad2593db4503cd26cfc2) - Drop the nonexistent [cli] extra from the huggingface_hub install lines (db9f24e2199fc3b7d2eb1e6762d36c7044e99f65) Co-authored-by: Wojciech Kutak <wkutak@users.noreply.huggingface.co>ef06c4d -
Add compact links to both Cosmos3 collections
Verified signature117a9c6
6 days ago
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Fill missing GB300 Reasoner performance benchmarks (#5)
- Fill missing GB300 Reasoner performance benchmarks (02992315e9db8b30dabc87f4ad588bca0dc65006) - Remove obsolete unavailable-measurement note (f97cf3a55ec2638692868032938247a636a3c38d) Co-authored-by: Sergiy Fefilatyev <fsergiy@users.noreply.huggingface.co>c10c850
24 days ago
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Add Hopper Generator inference benchmark results (#3)
- Add Hopper Generator inference benchmark results (9c6ede42f5abf2750b4c35f2cad099d0415cc770) - Add B300-based GB300 Action Policy estimate (c3ff73ab6da580fbfdeb304836e46d9b0b44e5ae) - Simplify GB300 estimate notation (e29bd924ec24c050ea6beaaeba4ddc1ab245ea8d) Co-authored-by: Sergiy Fefilatyev <fsergiy@users.noreply.huggingface.co>f5d7c44
29 days ago
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Add Cosmos3-Super-FP8 inference performance benchmarks (#2)
- Add Cosmos3-Super-FP8 inference performance benchmarks (43cea8ec6c06aa87ce2fad09a0b796403c574cc2) Co-authored-by: Sergiy Fefilatyev <fsergiy@users.noreply.huggingface.co>4844b1c
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Fix model card image and video links to original model assets
Verified signature589722a -
Add FP8 model card based on nvidia/Cosmos3-Super
Verified signature628bfb1