Instructions to use nvidia/Cosmos3-Super-Image2Video-4Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-Image2Video-4Step 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
List Diffusers under Runtime Engine(s) and Acceleration Engine
Browse files
README.md
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- [PyTorch](https://github.com/nvidia/cosmos3)
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- [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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**Supported Hardware Microarchitecture Compatibility:**
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## Inference
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**Acceleration Engine:** [PyTorch](https://pytorch.org/), [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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**Test Hardware:** RTX PRO 6000, H20, H100, H200, B200
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- [PyTorch](https://github.com/nvidia/cosmos3)
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- [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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- [Hugging Face Diffusers](https://github.com/huggingface/diffusers)
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**Supported Hardware Microarchitecture Compatibility:**
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## Inference
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**Acceleration Engine:** [PyTorch](https://pytorch.org/), [vLLM-Omni](https://github.com/vllm-project/vllm-omni), [Hugging Face Diffusers](https://github.com/huggingface/diffusers)
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**Test Hardware:** RTX PRO 6000, H20, H100, H200, B200
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