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Nkumar5
/
ddpm-MST-256

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

Instructions to use Nkumar5/ddpm-MST-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Nkumar5/ddpm-MST-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("Nkumar5/ddpm-MST-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-MST-256
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  • 1 contributor
History: 68 commits
Nkumar5's picture
Nkumar5
Epoch 9
a579d17 verified over 2 years ago
  • logs
    Epoch 9 over 2 years ago
  • samples
    Epoch 9 over 2 years ago
  • scheduler
    Epoch 0 over 2 years ago
  • unet
    Epoch 9 over 2 years ago
  • .gitattributes
    1.94 kB
    Epoch 17 over 2 years ago
  • model_index.json
    186 Bytes
    Epoch 0 over 2 years ago