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Paracompact
/
Azzy-Model

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
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
Azzy-Model
4.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
88fe20d over 3 years ago
  • logs
    Upload with huggingface_hub over 3 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. over 3 years ago
  • text_encoder
    Upload with huggingface_hub over 3 years ago
  • tokenizer
    Upload with huggingface_hub over 3 years ago
  • unet
    Upload with huggingface_hub over 3 years ago
  • vae
    Upload with huggingface_hub over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • model_index.json
    385 Bytes
    Upload with huggingface_hub over 3 years ago