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Autodraft
/
CM2000112

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

Instructions to use Autodraft/CM2000112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Autodraft/CM2000112 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Autodraft/CM2000112", 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
CM2000112
4.27 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 63 commits
jayparmr's picture
jayparmr
update : inference
cb22180 verified over 1 year ago
  • carvekit
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  • external
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  • scheduler
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  • tokenizer
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • args.json
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  • config.yml
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  • deployment.ipynb
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  • handler.py
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  • inference.py
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  • inference2.py
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  • model_index.json
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  • pyproject.toml
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  • requirements.txt
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    update : inference over 1 year ago