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nakajimayoshi
/
ddpm-iris-256

Unconditional Image Generation
Diffusers
TensorBoard
DDPMPipeline
biology
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nakajimayoshi/ddpm-iris-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nakajimayoshi/ddpm-iris-256 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nakajimayoshi/ddpm-iris-256", 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-iris-256 / samples
14.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
nakajimayoshi's picture
nakajimayoshi
Epoch 49
67e60d8 almost 3 years ago
  • 0009.png
    1.76 MB
    xet
    Epoch 9 almost 3 years ago
  • 0019.png
    2.17 MB
    xet
    Epoch 19 almost 3 years ago
  • 0029.png
    1.71 MB
    xet
    Epoch 29 almost 3 years ago
  • 0039.png
    1.82 MB
    xet
    Epoch 39 almost 3 years ago
  • 0049.png
    1.94 MB
    xet
    Epoch 49 almost 3 years ago
  • real_samples.png
    4.98 MB
    xet
    Upload real_samples.png about 3 years ago