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MrBlackSheep
/
BMX_pruned

Text-to-Image
Diffusers
English
checkpoint
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use MrBlackSheep/BMX_pruned with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MrBlackSheep/BMX_pruned", 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 Settings
  • Draw Things
  • DiffusionBee
BMX_pruned
2.13 GB
Ctrl+K
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  • 1 contributor
History: 31 commits
MrBlackSheep's picture
MrBlackSheep
Update README.md
69ed458 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • BMX_pruned.preview.png
    954 kB
    BMX_pruned.preview.png over 2 years ago
  • BMX_pruned.safetensors
    2.13 GB
    xet
    BMX_pruned.safetensors over 2 years ago
  • README.md
    671 Bytes
    Update README.md about 2 years ago