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
Upload proveedor
Browse files
proveedor
CHANGED
|
@@ -1 +1,11 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Packages.
|
| 2 |
+
|
| 3 |
+
- Model ZIP: https://huggingface.co/JCTN/ctnjoel/tree/main
|
| 4 |
+
- Model: https://huggingface.co/JCTN/adetailer
|
| 5 |
+
- https://github.com/Navezjt/ReSwapper
|
| 6 |
+
- https://huggingface.co/Bingsu/adetailer/tree/main
|
| 7 |
+
|
| 8 |
+
INFO.
|
| 9 |
+
|
| 10 |
+
- https://github.com/Bing-su/adetailer
|
| 11 |
+
- https://github.com/Navezjt/Adetailer_sdxl
|