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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")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("bytedance-research/UNO", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Upload 0f3203dc4cb12fb56dcd79a9c090719f.jpg

#6 opened about 1 year ago by
Momahalex2111

Upload 0f3203dc4cb12fb56dcd79a9c090719f.jpg

#5 opened about 1 year ago by
Momahalex2111

Request: DOI

#4 opened about 1 year ago by
Babanells

Change to Free Software license instead of Creative Commons Attribution Non Commercial No Derivatives 4.0

👍 2
3
#2 opened about 1 year ago by
JLouisBiz
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