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docs: update readme

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ad model classes, controlnet Passthrough, ultralytics
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Dowon
2024-03-01 11:44:09 +09:00
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@@ -18,15 +18,16 @@ You can now install it directly from the Extensions tab.
![image](https://i.imgur.com/g6GdRBT.png) ![image](https://i.imgur.com/g6GdRBT.png)
You **DON'T** need to download any model from huggingface. You **DON'T** need to download any base model from huggingface.
## Options ## Options
| Model, Prompts | | | | Model, Prompts | | |
| --------------------------------- | --------------------------------------------------------------------------------- | ------------------------------------------------- | | --------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| ADetailer model | Determine what to detect. | `None` = disable | | 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. | | ADetailer model classes | Comma separated class names to detect. only available when using YOLO World models | If blank, use default values.<br/>default = [COCO 80 classes](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml) |
| Skip img2img | Skip img2img. In practice, this works by changing the step count of img2img to 1. | img2img only | | 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 | | |
| ------------------------------------ | -------------------------------------------------------------------------------------------- | ------------ | | ------------------------------------ | -------------------------------------------------------------------------------------------- | ------------ |
@@ -52,7 +53,9 @@ Each option corresponds to a corresponding option on the inpaint tab. Therefore,
You can use the ControlNet extension if you have ControlNet installed and ControlNet models. 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. Support `inpaint, scribble, lineart, openpose, tile, depth` controlnet models. Once you choose a model, the preprocessor is set automatically. It works separately from the model set by the Controlnet extension.
If you select `Passthrough`, the controlnet settings you set outside of ADetailer will be used.
## Advanced Options ## Advanced Options
@@ -80,11 +83,15 @@ API request example: [wiki/API](https://github.com/Bing-su/adetailer/wiki/API)
| mediapipe_face_short | realistic face | - | - | | mediapipe_face_short | realistic face | - | - |
| mediapipe_face_mesh | realistic face | - | - | | mediapipe_face_mesh | realistic face | - | - |
The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer). The YOLO models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
For a detailed description of the YOLO8 model, see: https://docs.ultralytics.com/models/yolov8/#overview
YOLO World model: https://docs.ultralytics.com/models/yolo-world/
### Additional Model ### Additional Model
Put your [ultralytics](https://github.com/ultralytics/ultralytics) yolo model in `webui/models/adetailer`. The model name should end with `.pt` or `.pth`. Put your [ultralytics](https://github.com/ultralytics/ultralytics) yolo model in `webui/models/adetailer`. The model name should end with `.pt`.
It must be a bbox detection or segment model and use all label. It must be a bbox detection or segment model and use all label.