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imagepipeline
/
SDXL-Unstable-Diffusers

Text-to-Image
Diffusers
StableDiffusionXLPipeline
imagepipeline
imagepipeline.io
ultra-realistic
Model card Files Files and versions
xet
Community

Instructions to use imagepipeline/SDXL-Unstable-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use imagepipeline/SDXL-Unstable-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("imagepipeline/SDXL-Unstable-Diffusers", 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
SDXL-Unstable-Diffusers
6.94 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
image-pipeline's picture
image-pipeline
Upload README.md with huggingface_hub
1fce211 verified over 2 years ago
  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    4.95 kB
    Upload README.md with huggingface_hub over 2 years ago
  • model_index.json
    676 Bytes
    Upload StableDiffusionXLPipeline over 2 years ago