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AuraDiffusion
/
16ch-vae

Diffusers
Safetensors
art
Eval Results (legacy)
Model card Files Files and versions
xet
Community
4

Instructions to use AuraDiffusion/16ch-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AuraDiffusion/16ch-vae with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AuraDiffusion/16ch-vae", 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
16ch-vae
327 MB
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  • 2 contributors
History: 7 commits
isidentical's picture
isidentical
Update README.md
518cefd verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • LICENSE.md
    18.6 kB
    Create LICENSE.md almost 2 years ago
  • README.md
    1.2 kB
    Update README.md almost 2 years ago
  • config.json
    770 Bytes
    disable force upcast almost 2 years ago
  • diffusion_pytorch_model.safetensors
    327 MB
    xet
    Upload folder using huggingface_hub almost 2 years ago