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CCMat
/
ddpm-bored-apes-64

Unconditional Image Generation
Diffusers
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Files and versions
xet
Community

Instructions to use CCMat/ddpm-bored-apes-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CCMat/ddpm-bored-apes-64 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CCMat/ddpm-bored-apes-64", 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
ddpm-bored-apes-64
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  • 1 contributor
History: 5 commits
CCMat's picture
CCMat
Update README.md
b9c62e7 over 3 years ago
  • scheduler
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  • .gitattributes
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  • README.md
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  • bored-apes-grid.png
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  • model_index.json
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