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 ·
3f62010
1
Parent(s): 88d5a69
Fix PyTorch runtime link in model card (#9)
Browse files- Fix PyTorch runtime link in model card (d53fb82eb889b71905b812351e29cceea7b77ec2)
Co-authored-by: Yao Xu <yaoxuhf@users.noreply.huggingface.co>
README.md
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**Runtime Engine(s):**
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- [PyTorch](https://github.com/
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- [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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- [Hugging Face Diffusers](https://huggingface.co/docs/diffusers/en/index)
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- [SGLang](https://github.com/sgl-project/sglang)
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**Runtime Engine(s):**
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- [PyTorch](https://github.com/NVIDIA/cosmos)
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- [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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- [Hugging Face Diffusers](https://huggingface.co/docs/diffusers/en/index)
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- [SGLang](https://github.com/sgl-project/sglang)
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