mirror of
https://github.com/Bing-su/adetailer.git
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74 lines
3.2 KiB
Markdown
74 lines
3.2 KiB
Markdown
# !After Detailer
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!After Detailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.
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## Install
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(from Mikubill/sd-webui-controlnet)
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1. Open "Extensions" tab.
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2. Open "Install from URL" tab in the tab.
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3. Enter `https://github.com/Bing-su/adetailer.git` to "URL for extension's git repository".
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4. Press "Install" button.
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5. Wait 5 seconds, and you will see the message "Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart".
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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.)
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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.)
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You **DON'T** need to download any model from huggingface.
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## Usage
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TO DO
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## ControlNet Inpainting
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You can use the ControlNet inpaint extension if you have ControlNet installed and a ControlNet inpaint model.
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On the ControlNet tab, select a ControlNet inpaint model and set the model weights.
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## Model
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| Model | Target | mAP 50 | mAP 50-95 |
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| --------------------- | --------------------- | ----------------------------- | ----------------------------- |
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| face_yolov8n.pt | 2D / realistic face | 0.660 | 0.366 |
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| face_yolov8s.pt | 2D / realistic face | 0.713 | 0.404 |
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| mediapipe_face_full | realistic face | - | - |
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| mediapipe_face_short | realistic face | - | - |
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| hand_yolov8n.pt | 2D / realistic hand | 0.767 | 0.505 |
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| person_yolov8n-seg.pt | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) |
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The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
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### User Model
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Put your [ultralytics](https://github.com/ultralytics/ultralytics) model in `webui/models/adetailer`. The model name should end with `.pt` or `.pth`.
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It must be a bbox detection or segment model and use all label.
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### Dataset
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Datasets used for training the yolo models are:
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#### Face
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- [Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
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- [xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
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- [AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
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- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
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#### Hand
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- [AnHDet](https://universe.roboflow.com/1-yshhi/anhdet)
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- [hand-detection-fuao9](https://universe.roboflow.com/catwithawand/hand-detection-fuao9)
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#### Person
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- [coco2017](https://cocodataset.org/#home) (only person)
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- [AniSeg](https://github.com/jerryli27/AniSeg)
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- [skytnt/anime-segmentation](https://huggingface.co/datasets/skytnt/anime-segmentation)
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## Example
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