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Duplicated from  cudabenchmarktest/flux1-fill-dev-fp8

wjndd
/
flux1-fill-dev-fp8

Image-to-Image
Diffusers
flux
inpainting
fp8
non-commercial
Model card Files Files and versions
xet
Community

Instructions to use wjndd/flux1-fill-dev-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wjndd/flux1-fill-dev-fp8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("wjndd/flux1-fill-dev-fp8", torch_dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
flux1-fill-dev-fp8
11.9 GB
Ctrl+K
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  • 2 contributors
History: 1 commit
wjndd's picture
wjndd
cudabenchmarktest's picture
cudabenchmarktest
Duplicate from cudabenchmarktest/flux1-fill-dev-fp8
cda9722 20 days ago
  • .gitattributes
    1.52 kB
    Duplicate from cudabenchmarktest/flux1-fill-dev-fp8 20 days ago
  • LICENSE
    17 kB
    Duplicate from cudabenchmarktest/flux1-fill-dev-fp8 20 days ago
  • README.md
    1.67 kB
    Duplicate from cudabenchmarktest/flux1-fill-dev-fp8 20 days ago
  • flux1-fill-dev-fp8.safetensors
    11.9 GB
    xet
    Duplicate from cudabenchmarktest/flux1-fill-dev-fp8 20 days ago