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nroggendorff
/
unstable-diffusion

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
Model card Files Files and versions
xet
Community

Instructions to use nroggendorff/unstable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nroggendorff/unstable-diffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nroggendorff/unstable-diffusion", 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
unstable-diffusion
6.9 GB
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  • 1 contributor
History: 24 commits
nroggendorff's picture
nroggendorff
Shard 19 - Loss: 0.053310
67461f1 verified 5 months ago
  • scheduler
    Shard 0 - Loss: 0.099476 6 months ago
  • text_encoder
    Shard 0 - Loss: 0.057847 6 months ago
  • text_encoder_2
    Shard 0 - Loss: 0.057847 6 months ago
  • tokenizer
    Shard 0 - Loss: 0.099476 6 months ago
  • tokenizer_2
    Shard 0 - Loss: 0.099476 6 months ago
  • unet
    Shard 19 - Loss: 0.053310 5 months ago
  • vae
    Shard 0 - Loss: 0.057847 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • model_index.json
    662 Bytes
    Shard 0 - Loss: 0.099476 6 months ago