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bytedance-research
/
USO

Text-to-Image
Diffusers
English
image-generation
subject-personalization
style-transfer
Diffusion-Transformer
Model card Files Files and versions
xet
Community
7

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

  • Libraries
  • Diffusers

    How to use bytedance-research/USO with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("bytedance-research/USO", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
USO
501 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
fenfan's picture
fenfan
nielsr's picture
nielsr HF Staff
Improve model card: Correct library_name to diffusers and add full abstract (#5)
18feb32 verified 9 months ago
  • assets
    Upload folder using huggingface_hub 9 months ago
  • uso_flux_v1.0
    Upload folder using huggingface_hub 9 months ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub 9 months ago
  • README.md
    6.16 kB
    Improve model card: Correct library_name to diffusers and add full abstract (#5) 9 months ago
  • config.json
    67 Bytes
    Upload folder using huggingface_hub 9 months ago