Instructions to use JCTN/adetailer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use JCTN/adetailer with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("JCTN/adetailer") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 310 Bytes
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- Model ZIP: https://huggingface.co/JCTN/ctnjoel/tree/main
- Model: https://huggingface.co/JCTN/adetailer
- https://github.com/Navezjt/ReSwapper
- https://huggingface.co/Bingsu/adetailer/tree/main
INFO.
- https://github.com/Bing-su/adetailer
- https://github.com/Navezjt/Adetailer_sdxl
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