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Paracompact
/
Azzy-Model

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
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xet
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2

Instructions to use Paracompact/Azzy-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Paracompact/Azzy-Model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Paracompact/Azzy-Model", 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
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Add `scale_factor` to vae config.

#2 opened over 3 years ago by
valhalla

Add `clip_sample=False` to scheduler to make model compatible with DDIM.

#1 opened over 3 years ago by
patrickvonplaten
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