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recoilme
/
vae32ch

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use recoilme/vae32ch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use recoilme/vae32ch with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("recoilme/vae32ch", 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
vae32ch
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  • 1 contributor
History: 2 commits
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recoilme
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14c7142 verified 2 months ago
  • .ipynb_checkpoints
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • Untitled.ipynb
    14.9 kB
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  • config.json
    2.33 kB
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  • diffusion_pytorch_model.safetensors
    336 MB
    xet
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  • scale.py
    4.31 kB
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