diff --git a/README.md b/README.md
index adeced8..d6fe5e4 100644
--- a/README.md
+++ b/README.md
@@ -44,15 +44,26 @@ Applied in this order: x, y offset → erosion/dilation → merge/invert.
 
 #### Inpainting
 
-![image](https://i.imgur.com/wyWlT1n.png)
-
-Each option corresponds to a corresponding option on the inpaint tab.
+Each option corresponds to a corresponding option on the inpaint tab. Therefore, please refer to the inpaint tab for usage details on how to use each option.
 
 ## ControlNet Inpainting
 
 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.
+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.
+
+## Advanced Options
+
+API request example: [wiki/API](https://github.com/Bing-su/adetailer/wiki/API)
+
+`ui-config.json` entries: [wiki/ui-config.json](https://github.com/Bing-su/adetailer/wiki/ui-config.json)
+
+`[SEP], [SKIP]` tokens: [wiki/Advanced](https://github.com/Bing-su/adetailer/wiki/Advanced)
+
+## Media
+
+- 🎥 [どこよりも詳しいAfter Detailer (adetailer)の使い方① 【Stable Diffusion】](https://youtu.be/sF3POwPUWCE)
+- 🎥 [どこよりも詳しいAfter Detailer (adetailer)の使い方② 【Stable Diffusion】](https://youtu.be/urNISRdbIEg)
 
 ## Model
 
@@ -69,34 +80,12 @@ Support `inpaint, scribble, lineart, openpose, tile` controlnet models. Once you
 
 The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
 
-### User Model
+### Additional Model
 
-Put your [ultralytics](https://github.com/ultralytics/ultralytics) 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` or `.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](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
-- [xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
-- [AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
-- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
-
-#### Hand
-
-- [AnHDet](https://universe.roboflow.com/1-yshhi/anhdet)
-- [hand-detection-fuao9](https://universe.roboflow.com/catwithawand/hand-detection-fuao9)
-
-#### Person
-
-- [coco2017](https://cocodataset.org/#home) (only person)
-- [AniSeg](https://github.com/jerryli27/AniSeg)
-- [skytnt/anime-segmentation](https://huggingface.co/datasets/skytnt/anime-segmentation)
-
 ## Example
 
 ![image](https://i.imgur.com/38RSxSO.png)