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Auto detecting, masking and inpainting with detection model.

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!After Detailer

This fork of After Detailer is meant to work with my own version of wildcards. Please follow the install instructions there. However, it will still work without issues if wildcards is not installed.

!After Detailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.

Options

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 mask
Merge: Merge all masks and inpaint
Merge and Invert: Merge all masks and Invert, then inpaint

Applied in this order: x, y offset → erosion/dilation → merge/invert.

Inpainting

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.

ControlNet Inpainting

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.

Advanced Options

API request example: wiki/API

ui-config.json entries: wiki/ui-config.json

[SEP], [SKIP] tokens: wiki/Advanced

Media

Model

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.

Additional Model

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.

Example

image image

ko-fi

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Auto detecting, masking and inpainting with detection model.

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