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
| Packages. | |
| - 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 | |