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nvidia
/
Cosmos3-Super-Text2Image

Text-to-Image
Cosmos
Diffusers
Safetensors
cosmos3_omni
nvidia
cosmos3
vllm-omni
image-generation
Model card Files Files and versions
xet
Community
2

Instructions to use nvidia/Cosmos3-Super-Text2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Cosmos

    How to use nvidia/Cosmos3-Super-Text2Image 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-Text2Image 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-Text2Image", 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
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add support for NVIDIA Cosmos3 models in ComfyUI (especially Text-to-Image and Img2Img)

#12 opened about 7 hours ago by
Sambler

Add SGLang serving instructions

#11 opened about 21 hours ago by
MickJ
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