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rechido
/
20231128_conditional

Diffusers
Safetensors
DDPMPipeline
Model card Files Files and versions
xet
Community

Instructions to use rechido/20231128_conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use rechido/20231128_conditional with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("rechido/20231128_conditional", 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
20231128_conditional
4.37 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
rechido's picture
rechido
Epoch 99
7c386b2 over 2 years ago
  • checkpoint-100000
    Epoch 30 over 2 years ago
  • checkpoint-200000
    Epoch 60 over 2 years ago
  • checkpoint-300000
    Epoch 80 over 2 years ago
  • scheduler
    Epoch 0 over 2 years ago
  • unet
    Epoch 99 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • .gitignore
    15 Bytes
    Epoch 0 over 2 years ago
  • model_index.json
    195 Bytes
    Epoch 0 over 2 years ago