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bytedance-research
/
UNO

Image-to-Image
Transformers
subject-personalization
image-generation
Model card Files Files and versions
xet
Community
7

Instructions to use bytedance-research/UNO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bytedance-research/UNO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="bytedance-research/UNO", device_map="auto")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("bytedance-research/UNO", dtype="auto", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
UNO
1.91 GB
Ctrl+K
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  • 2 contributors
History: 12 commits
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