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krasnova
/
ddpm_afhq_64

Unconditional Image Generation
Diffusers
PyTorch
DDPMPipeline
Model card Files Files and versions
xet
Community

Instructions to use krasnova/ddpm_afhq_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use krasnova/ddpm_afhq_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("krasnova/ddpm_afhq_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_afhq_64
74.3 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
krasnova's picture
krasnova
Upload README.md with huggingface_hub
f43a226 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    243 Bytes
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  • config.json
    824 Bytes
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  • diffusion_pytorch_model.bin
    74.3 MB
    xet
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  • model_index.json
    181 Bytes
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  • scheduler_config.json
    419 Bytes
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