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DataHoney
/
MagGo

Text-to-Image
Diffusers
lora
flux-dev
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use DataHoney/MagGo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("DataHoney/MagGo")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
MagGo
212 MB
Ctrl+K
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  • 1 contributor
History: 15 commits
DataHoney's picture
DataHoney
Upload preview.webp
7e3fded verified over 1 year ago
  • models
    Update models/readme.md over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • MagGo.safetensors
    19.3 MB
    xet
    Upload MagGo.safetensors over 1 year ago
  • README.md
    1.17 kB
    Update README.md over 1 year ago
  • preview.webp
    24.2 kB
    Upload preview.webp over 1 year ago