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PinkPixel
/
lucida-onnx

Image Segmentation
ONNX
BiRefNet
background-removal
image-matting
onnxruntime
lucida
soft-alpha
transparency
rgba
Model card Files Files and versions
xet
Community

Instructions to use PinkPixel/lucida-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • BiRefNet

    How to use PinkPixel/lucida-onnx with BiRefNet:

    # Option 1: use with transformers
    
    from transformers import AutoModelForImageSegmentation
    birefnet = AutoModelForImageSegmentation.from_pretrained("PinkPixel/lucida-onnx", trust_remote_code=True)
    
    # Option 2: use with BiRefNet
    
    # Install from https://github.com/ZhengPeng7/BiRefNet
    
    from models.birefnet import BiRefNet
    model = BiRefNet.from_pretrained("PinkPixel/lucida-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
lucida-onnx
4.55 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sizzlebop's picture
sizzlebop
Upload 5 files
42f92b3 verified about 19 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    11.5 kB
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  • README.md
    7.53 kB
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  • infer.py
    6.87 kB
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  • model.onnx
    932 MB
    xet
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  • model_fp16.onnx
    471 MB
    xet
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  • model_int8.onnx
    1.06 GB
    xet
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  • model_q4.onnx
    1.04 GB
    xet
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  • model_uint8.onnx
    1.06 GB
    xet
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  • requirements.txt
    48 Bytes
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