docs: changelog, install

This commit is contained in:
Bingsu
2023-05-05 08:30:43 +09:00
parent 40d1373de9
commit 63db50c06a
2 changed files with 45 additions and 27 deletions

31
CHANGELOG.md Normal file
View File

@@ -0,0 +1,31 @@
# Changelog
### 2023-05-05 (어린이날)
- v23.5.5
- `Save images before ADetailer` 옵션 추가
- 입력으로 들어온 인자와 ALL_ARGS의 길이가 다르면 에러메세지
- README.md에 설치방법 추가
### 2023-05-04
- v23.5.4
- use pydantic for arguments validation
- revert: ad_model to `None` as default
- revert: `__future__` imports
- lazily import yolo and mediapipe
### 2023-05-03
- v23.5.3.post0
- remove `__future__` imports
- change to copy scripts and scripts args
- v23.5.3.post1
- change default ad_model from `None`
### 2023-05-02
- v23.5.3
- Remove `None` from model list and add `Enable ADetailer` checkbox.
- install.py `skip_install` fix.

View File

@@ -2,6 +2,20 @@
!After Detailer is a extension for stable diffusion webui, similar to Detection Detailer, except it uses ultralytics instead of the mmdet.
## Install
(from Mikubill/sd-webui-controlnet)
1. Open "Extensions" tab.
2. Open "Install from URL" tab in the tab.
3. Enter `https://github.com/Bing-su/adetailer.git` to "URL for extension's git repository".
4. Press "Install" button.
5. Wait 5 seconds, and you will see the message "Installed into stable-diffusion-webui\extensions\adetailer. Use Installed tab to restart".
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.)
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.)
You **DON'T** need to download any model from huggingface.
## Model
| Model | Target | mAP 50 | mAP 50-95 |
@@ -13,8 +27,6 @@
The yolo models can be found on huggingface [Bingsu/adetailer](https://huggingface.co/Bingsu/adetailer).
You DON'T need to download models from huggingface.
### Dataset
Datasets used for training the yolo face detection models are:
@@ -40,28 +52,3 @@ On the ControlNet tab, select a ControlNet inpaint model and set the model weigh
![image](https://i.imgur.com/i74ukgi.png)
![image](https://i.imgur.com/I5VVkoh.png)
## Changelog
### 2023-05-04
- v23.5.4
- use pydantic for arguments validation
- revert: ad_model to `None` as default
- revert: `__future__` imports
- lazily import yolo and mediapipe
### 2023-05-03
- v23.5.3.post0
- remove `__future__` imports
- change to copy scripts and scripts args
- v23.5.3.post1
- change default ad_model from `None`
### 2023-05-02
- v23.5.3
- Remove `None` from model list and add `Enable ADetailer` checkbox.
- install.py `skip_install` fix.