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CompVis
/
stable-diffusion-v1-2

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community
8

Instructions to use CompVis/stable-diffusion-v1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CompVis/stable-diffusion-v1-2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-2", 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
stable-diffusion-v1-2
5.48 GB
Ctrl+K
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  • 5 contributors
History: 26 commits
patrickvonplaten's picture
patrickvonplaten
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
cdd2884 over 3 years ago
  • feature_extractor
    add weights over 3 years ago
  • safety_checker
    add weights over 3 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. over 3 years ago
  • text_encoder
    add weights over 3 years ago
  • tokenizer
    add weights over 3 years ago
  • unet
    add weights over 3 years ago
  • vae
    add weights over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    14.2 kB
    Update README.md over 3 years ago
  • model_index.json
    543 Bytes
    add weights over 3 years ago
  • v1-variants-scores.jpg
    71.2 kB
    Upload v1-variants-scores.jpg over 3 years ago