It was originally used in pair with my version of wildcards, but you can now install the main one directly.
!After Detailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.
| Model, Prompts | ||
|---|---|---|
| ADetailer model | Determine what to detect. | None = disable |
| ADetailer prompt, negative prompt | Prompts and negative prompts to apply | If left blank, it will use the same as the input. |
| Detection | ||
|---|---|---|
| Detection model confidence threshold | Only objects with a detection model confidence above this threshold are used for inpainting. | |
| Mask min/max ratio | Only use masks whose area is between those ratios for the area of the entire image. |
If you want to exclude objects in the background, try setting the min ratio to around 0.01.
| Mask Preprocessing | ||
|---|---|---|
| Mask x, y offset | Moves the mask horizontally and vertically by | |
| Mask erosion (-) / dilation (+) | Enlarge or reduce the detected mask. | opencv example |
| Mask merge mode | None: Inpaint each maskMerge: Merge all masks and inpaintMerge and Invert: Merge all masks and Invert, then inpaint |
Applied in this order: x, y offset → erosion/dilation → merge/invert.
Each option corresponds to a corresponding option on the inpaint tab. Therefore, please refer to the inpaint tab for usage details on how to use each option.
You can use the ControlNet extension if you have ControlNet installed and ControlNet models.
Support inpaint, scribble, lineart, openpose, tile controlnet models. Once you choose a model, the preprocessor is set automatically. It works separately from the model set by the Controlnet extension.
API request example: wiki/API
ui-config.json entries: wiki/ui-config.json
[SEP], [SKIP] tokens: wiki/Advanced
| Model | Target | mAP 50 | mAP 50-95 |
|---|---|---|---|
| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 |
| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox) 0.761 (mask) |
0.555 (bbox) 0.460 (mask) |
| person_yolov8s-seg.pt | 2D / realistic person | 0.824 (bbox) 0.809 (mask) |
0.605 (bbox) 0.508 (mask) |
| mediapipe_face_full | realistic face | - | - |
| mediapipe_face_short | realistic face | - | - |
| mediapipe_face_mesh | realistic face | - | - |
The yolo models can be found on huggingface Bingsu/adetailer.
Put your ultralytics yolo model in webui/models/adetailer. The model name should end with .pt or .pth.
It must be a bbox detection or segment model and use all label.
