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diffusers
/
tools

Diffusers
English
stable-diffusion
stable-diffusion-diffusers
inpainting
art
artistic
anime
absolute-realism
Model card Files Files and versions
xet
Community
2

Instructions to use diffusers/tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use diffusers/tools with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("diffusers/tools", 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
tools
256 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
add local run script
69f6fc2 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • adapt_config.py
    7.59 kB
    upload all files over 3 years ago
  • created_prs.txt
    20.9 kB
    upload all files over 3 years ago
  • get_model_ids.py
    246 Bytes
    upload all files over 3 years ago
  • log.txt
    188 kB
    upload all files over 3 years ago
  • mass_config_adapt.sh
    161 Bytes
    upload all files over 3 years ago
  • model_ids.txt
    33.9 kB
    upload all files over 3 years ago
  • plot_access_requests.py
    1.25 kB
    up over 3 years ago
  • run_k_diffusion.py
    1.85 kB
    add local run script over 3 years ago
  • run_local.py
    489 Bytes
    add local run script over 3 years ago