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ShadeEngine
/
ddpm-ema-kirby-64

Diffusers
TensorBoard
Safetensors
DDPMPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ShadeEngine/ddpm-ema-kirby-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ShadeEngine/ddpm-ema-kirby-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("ShadeEngine/ddpm-ema-kirby-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-ema-kirby-64 / logs /train_unconditional
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  • 1 contributor
History: 28 commits
ShadeEngine's picture
ShadeEngine
Epoch 110
01620aa verified almost 2 years ago
  • events.out.tfevents.1721336136.61b69844f429.14543.0
    898 kB
    xet
    Epoch 30 almost 2 years ago
  • events.out.tfevents.1721340206.51e63451e436.7182.0
    1.11 MB
    xet
    Epoch 0 almost 2 years ago
  • events.out.tfevents.1721342169.51e63451e436.15573.0
    1.77 MB
    xet
    Epoch 0 almost 2 years ago
  • events.out.tfevents.1721345984.51e63451e436.31721.0
    2.65 MB
    xet
    Epoch 110 almost 2 years ago