Instructions to use nvidia/Cosmos3-Edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Edge 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
docs: scope model versions and parameter list to Cosmos3-Edge
Browse files
README.md
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- Cosmos3-Edge:
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- Given multimodal inputs including text, images, video, and action trajectories, generate coherent text, images, video, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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- Cosmos3-Edge-Policy-DROID:
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- Given language instructions and visual observations from the DROID robot platform, generate robot action trajectories for manipulation and control tasks.
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- Cosmos3-Super-Image2Video-4Step:
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- Given one or more input images and optional text instructions, generate temporally coherent video sequences that are consistent with the provided visual content. Distilled from Cosmos3-Super-Image2Video using [Improved Distribution Matching Distillation (DMD2)](https://arxiv.org/abs/2405.14867), enabling high-quality generation in 4 steps.
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- Cosmos3-Super-Text2Image-4Step:
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- Given text input, generate high-fidelity images that are consistent with the provided description. Distilled from Cosmos3-Super-Text2Image using [Improved Distribution Matching Distillation (DMD2)](https://arxiv.org/abs/2405.14867), enabling high-quality generation in 4 steps.
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**Released on: 05/31/2026**
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- Cosmos3-Nano:
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- Given multimodal inputs including text, images, video, audio, and action trajectories, generate coherent text, images, video, audio, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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- Cosmos3-Super:
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- Given multimodal inputs including text, images, video, audio, and action trajectories, generate coherent text, images, video, audio, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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- Cosmos3-Nano-Policy-DROID:
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- Given language instructions and visual observations from the DROID robot platform, generate robot action trajectories for manipulation and control tasks.
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- Cosmos3-Super-Image2Video:
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- Given one or more input images and optional text instructions, generate temporally coherent video sequences that are consistent with the provided visual content.
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- Cosmos3-Super-Text2Image:
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- Given text input, generate high-fidelity images that are consistent with the provided description.
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### License
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This model is released under the [OpenMDW1.1](https://openmdw.ai/license/1-1/)
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**Released on: 07/20/2026**
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- Cosmos3-Edge: 4B
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- Cosmos3-Edge-Policy-DROID: 4B
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- Cosmos3-Super-Image2Video-4Step: 64B
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- Cosmos3-Super-Text2Image-4Step: 64B
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**Released on: 05/31/2026**
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- Cosmos3-Nano: 16B
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- Cosmos3-Super: 64B
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- Cosmos3-Nano-Policy-DROID: 16B
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- Cosmos3-Super-Image2Video: 64B
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- Cosmos3-Super-Text2Image: 64B
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## Input/Output Specifications
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- Cosmos3-Edge:
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- Given multimodal inputs including text, images, video, and action trajectories, generate coherent text, images, video, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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### License
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This model is released under the [OpenMDW1.1](https://openmdw.ai/license/1-1/)
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**Released on: 07/20/2026**
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- Cosmos3-Edge: 4B
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## Input/Output Specifications
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