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prithivMLmods
/
Outfit-Cut-Specified

Image-to-Image
Diffusers
text-to-image
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/Outfit-Cut-Specified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use prithivMLmods/Outfit-Cut-Specified 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("prithivMLmods/Outfit-Cut-Specified")
    
    prompt = "[photo content], extract only the specified clothing item [full outfit, top wear, bottom wear, t-shirt, jacket, dress, etc.] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details."
    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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
Outfit-Cut-Specified
614 MB
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  • 1 contributor
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