Instructions to use nvidia/Cosmos3-Nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Nano 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 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", 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
Super-squash branch 'main' using huggingface_hub
Browse filesCo-authored-by: tangyue0820 <tangyue0820@users.noreply.huggingface.co>
Co-authored-by: mli0603 <mli0603@users.noreply.huggingface.co>
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Co-authored-by: OmarNvidia <OmarNvidia@users.noreply.huggingface.co>
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# **Cosmos 3: Omnimodal World Models for Physical AI**
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---
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# **Cosmos 3: Omnimodal World Models for Physical AI**
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