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@@ -1,6 +1,6 @@
# !After Detailer
# ADetailer
!After Detailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.
ADetailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.
## Install
@@ -22,15 +22,17 @@ 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. |
| 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. |
| Skip img2img | Skip img2img. In practice, this works by changing the step count of img2img to 1. | img2img only |
| 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. | |
| 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. | |
| Mask only the top k largest | Only use the k objects with the largest area of the bbox. | 0 to disable |
If you want to exclude objects in the background, try setting the min ratio to around `0.01`.
@@ -86,9 +88,10 @@ Put your [ultralytics](https://github.com/ultralytics/ultralytics) yolo model in
It must be a bbox detection or segment model and use all label.
## Example
## How it works
![image](https://i.imgur.com/38RSxSO.png)
![image](https://i.imgur.com/2CYgjLx.png)
ADetailer works in three simple steps.
[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/F1F1L7V2N)
1. Create an image.
2. Detect object with a detection model and create a mask image.
3. Inpaint using the image from 1 and the mask from 2.