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ShineNoLife
/
Auto-CM

Diffusers
Safetensors
StableDiffusionInstructPix2PixPipeline
Model card Files Files and versions
xet
Community

Instructions to use ShineNoLife/Auto-CM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ShineNoLife/Auto-CM with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ShineNoLife/Auto-CM", 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
Auto-CM
4.46 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ShineNoLife's picture
ShineNoLife
added base cm model
6902488 5 months ago
  • feature_extractor
    added base cm model 5 months ago
  • safety_checker
    added base cm model 5 months ago
  • scheduler
    added base cm model 5 months ago
  • text_encoder
    added base cm model 5 months ago
  • tokenizer
    added base cm model 5 months ago
  • unet
    added base cm model 5 months ago
  • vae
    added base cm model 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • config.json
    1.83 kB
    added base cm model 5 months ago
  • model_index.json
    596 Bytes
    added base cm model 5 months ago