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Metal079
/
SonicDiffusion

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use Metal079/SonicDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Metal079/SonicDiffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Metal079/SonicDiffusion", 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
SonicDiffusion
11.9 GB
Ctrl+K
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  • 2 contributors
History: 13 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
1700680 almost 3 years ago
  • feature_extractor
    Upload 13 files over 3 years ago
  • safety_checker
    Upload 2 files over 3 years ago
  • scheduler
    Upload 13 files over 3 years ago
  • text_encoder
    Upload 13 files over 3 years ago
  • tokenizer
    Upload 13 files over 3 years ago
  • unet
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  • vae
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  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.07 kB
    Update README.md over 3 years ago
  • evan_5400.ckpt
    2.13 GB
    xet
    Upload evan_5400.ckpt over 3 years ago
  • mobianstrimmed_12000.ckpt
    2.13 GB
    xet
    Upload mobianstrimmed_12000.ckpt over 3 years ago
  • mobianstrimmed_6000.ckpt
    2.13 GB
    xet
    Upload mobianstrimmed_6000.ckpt over 3 years ago
  • model_index.json
    501 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3) almost 3 years ago