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ankile
/
ddpm-pcam-96

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

Instructions to use ankile/ddpm-pcam-96 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ankile/ddpm-pcam-96 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ankile/ddpm-pcam-96", 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-pcam-96 / logs /train_example
Ctrl+K
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  • 1 contributor
History: 2 commits
ankile's picture
ankile
Epoch 9
22a431b over 3 years ago
  • events.out.tfevents.1670788633.77ba605f9631.75.2
    46 kB
    xet
    Epoch 1 over 3 years ago
  • events.out.tfevents.1670789468.77ba605f9631.75.3
    260 kB
    xet
    Epoch 1 over 3 years ago
  • events.out.tfevents.1670810322.2c7d3c51afbf.461.0
    40 Bytes
    xet
    Epoch 9 over 3 years ago
  • events.out.tfevents.1670810401.2c7d3c51afbf.785.0
    15.7 kB
    xet
    Epoch 9 over 3 years ago
  • events.out.tfevents.1670810583.2c7d3c51afbf.785.1
    1.3 MB
    xet
    Epoch 9 over 3 years ago