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1aurent
/
ddpm-mnist

Unconditional Image Generation
Diffusers
TensorBoard
Safetensors
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use 1aurent/ddpm-mnist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use 1aurent/ddpm-mnist with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("1aurent/ddpm-mnist", 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-mnist
10.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
RavenclawMind's picture
RavenclawMind
Upload diffusion_pytorch_model.bin
99fe9dd verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.08 kB
    Update README.md about 2 years ago
  • config.json
    880 Bytes
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  • diffusion_pytorch_model.bin
    4.35 MB
    xet
    Upload diffusion_pytorch_model.bin over 1 year ago
  • diffusion_pytorch_model.safetensors
    4.29 MB
    xet
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  • events.out.tfevents.1696601803.24b515fe37ed.21165.0
    2.3 MB
    xet
    Rename train_unconditional/events.out.tfevents.1696601803.24b515fe37ed.21165.0 to events.out.tfevents.1696601803.24b515fe37ed.21165.0 over 2 years ago
  • model_index.json
    186 Bytes
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  • scheduler_config.json
    467 Bytes
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