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SweetLuna
/
Aurora

Text-to-Image
Diffusers
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Instructions to use SweetLuna/Aurora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SweetLuna/Aurora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SweetLuna/Aurora", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
Aurora
14.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 76 commits
SweetLuna's picture
SweetLuna
Update README.md
32ec893 about 3 years ago
  • Aurora ONE
    Aurora Version 1.0 Checkpoint about 3 years ago
  • AuroraEmbeddings
    Must have Negative Embeddings trained on Aurora and KHFB about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • Changelog.md
    746 Bytes
    A New Horizon - Aurora Version 1.0.0 about 3 years ago
  • README.md
    20.1 kB
    Update README.md about 3 years ago