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weights
/
flux-fill-dev

Diffusers
Safetensors
FluxFillPipeline
Model card Files Files and versions
xet
Community

Instructions to use weights/flux-fill-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use weights/flux-fill-dev with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("weights/flux-fill-dev", 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
flux-fill-dev
34.3 GB
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  • 1 contributor
History: 2 commits
jonluca's picture
jonluca
reset
e27af78 about 1 year ago
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  • text_encoder
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  • .gitattributes
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  • ae.safetensors
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    xet
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  • model_index.json
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