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58 lines
1.9 KiB
Markdown
58 lines
1.9 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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## 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 | - | - |
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| mediapipe_face_short | realistic | - | - |
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The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
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### Dataset
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Datasets used for training the yolo face detection models are:
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- [roboflow AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
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- [roboflow Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
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- [roboflow xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
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- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
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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 model and use only label 0.
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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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## Example
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## Changelog
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### 2023-05-03
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- v23.5.3.post0
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- remove `__future__` imports
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- change to copy scripts and scripts args
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- v23.5.3.post1
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- change default ad_model from `None`
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### 2023-05-02
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- v23.5.3
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- Remove `None` from model list and add `Enable ADetailer` checkbox.
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- install.py `skip_install` fix.
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