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-Nano-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Nano-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-Nano-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-Nano-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 Nano FP8 (#10)
- Regenerate Diffusers T2V example with Nano FP8 (06a98bce0f3282e4fe1a76d5291eb660a60e1174) - Regenerate Diffusers T2V example on current main with the FP8 step policy (956dc37e6dfde64edc1eabd2d9e954a39840a917) Co-authored-by: Yiming Zhao <ConstBob@users.noreply.huggingface.co>aa5afe3
30 days ago
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Add Cosmos3 Nano FP8 snapshot (#1)
- Track Nano FP8 tokenizer and example assets (738e02cba84a52df5b80719cb2374cb522e0efd5) - Add Cosmos3 Nano FP8 snapshot files (13a8e400db8843a7686d3ffee48fbe2f499b1de9) Co-authored-by: Wojciech Kutak <wkutak@users.noreply.huggingface.co>72bd99d