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Shakker-Labs
/
AWPortraitCN

Text-to-Image
Diffusers
Safetensors
English
stable-diffusion
image-generation
flux
Model card Files Files and versions
xet
Community
3

Instructions to use Shakker-Labs/AWPortraitCN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Shakker-Labs/AWPortraitCN with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/AWPortraitCN", 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
AWPortraitCN
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
wanghaofan's picture
wanghaofan
Update README.md
40c43f8 verified over 1 year ago
  • images
    Upload teaser.png over 1 year ago
  • .gitattributes
    1.92 kB
    Upload teaser.png over 1 year ago
  • AWPortraitCN.safetensors
    306 MB
    xet
    Upload AWPortraitCN.safetensors over 1 year ago
  • README.md
    1.53 kB
    Update README.md over 1 year ago