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adammoss
/
ddpm-128-sample-2000-linear-run2

Diffusers
DDPMConditionPipeline
Model card Files Files and versions
xet
Community

Instructions to use adammoss/ddpm-128-sample-2000-linear-run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use adammoss/ddpm-128-sample-2000-linear-run2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("adammoss/ddpm-128-sample-2000-linear-run2", 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-128-sample-2000-linear-run2
1.94 GB
Ctrl+K
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  • 1 contributor
History: 22 commits
adammoss's picture
adammoss
Epoch 199
82809fb almost 3 years ago
  • checkpoint-10000
    Epoch 50 almost 3 years ago
  • checkpoint-20000
    Epoch 100 almost 3 years ago
  • checkpoint-30000
    Epoch 150 almost 3 years ago
  • checkpoint-40000
    Epoch 190 almost 3 years ago
  • scheduler
    Epoch 0 almost 3 years ago
  • unet
    Epoch 199 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    15 Bytes
    Epoch 0 almost 3 years ago
  • model_index.json
    190 Bytes
    Epoch 0 almost 3 years ago
  • params.json
    1.7 kB
    Epoch 0 almost 3 years ago