修脸修手adetailer

原链接：Bing-su/adetailer：自动检测，遮罩和修复与检测模型。 (github.com)

以下内容直接复制github：

!After Detailer

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

Install

(from Mikubill/sd-webui-controlnet)

1. Open “Extensions” tab.
2. Open “Install from URL” tab in the tab.
3. Enter to “URL for extension’s git repository”.https://github.com/Bing-su/adetailer.git
4. Press “Install” button.
5. Wait 5 seconds, and you will see the message “Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart”.
6. Go to “Installed” tab, click “Check for updates”, and then click “Apply and restart UI”. (The next time you can also use this method to update extensions.)
7. Completely restart A1111 webui including your terminal. (If you do not know what is a “terminal”, you can reboot your computer: turn your computer off and turn it on again.)

You can now install it directly from the Extensions tab.

You DON’T need to download any model from huggingface.

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

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

Inpainting

Each option corresponds to a corresponding option on the inpaint tab.

ControlNet Inpainting

You can use the ControlNet extension if you have ControlNet installed and ControlNet models.

Support controlnet models. Once you choose a model, the preprocessor is set automatically.inpaint, scribble, lineart, openpose, tile

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.

User Model

Put your ultralytics model in . The model name should end with or .webui/models/adetailer.pt.pth

It must be a bbox detection or segment model and use all label.

Dataset

Datasets used for training the yolo models are:

Face

• Anime Face CreateML
• xml2txt
• AN
• wider face

Hand

• AnHDet
• hand-detection-fuao9

Person

• coco2017 (only person)
• AniSeg
• skytnt/anime-segmentation

Example

 

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