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extensions-builtin/sd-webui-reactor/.github/ISSUE_TEMPLATE/bug_report.yml

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+name: Bug Report
+description: You think somethings is broken
+labels: ["bug", "new"]
+
+body:
+  - type: checkboxes
+    attributes:
+      label: First, confirm
+      description: Make sure you use the latest version of the ReActor extension and you have already searched to see if an issue already exists for the bug you encountered before you create a new Issue.
+      options:
+        - label: I have read the [instruction](https://github.com/Gourieff/sd-webui-reactor/blob/main/README.md) carefully
+          required: true
+        - label: I have searched the existing issues
+          required: true
+        - label: I have updated the extension to the latest version
+          required: true
+  - type: markdown
+    attributes:
+      value: |
+        *Please fill this form with as much information as possible and *provide screenshots if possible**
+  - type: textarea
+    id: what-did
+    attributes:
+      label: What happened?
+      description: Tell what happened in a very clear and simple way
+    validations:
+      required: true
+  - type: textarea
+    id: steps
+    attributes:
+      label: Steps to reproduce the problem
+      description: Please provide with precise step by step instructions on how to reproduce the bug
+      value: |
+        1. Go to .... 
+        2. Press ....
+        3. ...
+    validations:
+      required: true
+  - type: textarea
+    id: sysinfo
+    attributes:
+      label: Sysinfo
+      description: Describe your platform. OS, browser, GPU, what SD WebUI you use, what version and what extensions are also enabled. If you use A1111 you can generate "System info file" (Settings -> Sysinfo) and put it here.
+    validations:
+      required: true
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant console log
+      description: Please provide cmd/terminal logs from the moment you started UI to the momemt you got an error. This will be automatically formatted into code, so no need for backticks.
+      render: Shell
+    validations:
+      required: true
+  - type: textarea
+    id: misc
+    attributes:
+      label: Additional information
+      description: Please provide with any relevant additional info or context.

extensions-builtin/sd-webui-reactor/.github/ISSUE_TEMPLATE/config.yml

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+blank_issues_enabled: false
+contact_links:
+  - name: ReActor Extension Community Support
+    url: https://github.com/Gourieff/sd-webui-reactor/discussions
+    about: Please ask and answer questions here.

extensions-builtin/sd-webui-reactor/.github/ISSUE_TEMPLATE/feature_request.yml

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+name: Feature request
+description: Suggest an idea for this project
+title: "[Feature]: "
+labels: ["enhancement", "new"]
+
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Feature description
+      description: Describe the feature in a clear and simple way
+      value: 
+  - type: markdown
+    attributes:
+      value: |
+        The best way to propose an idea is to start a new discussion via the [Discussions](https://github.com/Gourieff/sd-webui-reactor/discussions) section (choose the "Idea" category)

extensions-builtin/sd-webui-reactor/.gitignore

@@ -0,0 +1,9 @@
+__pycache__/
+*.py[cod]
+*$py.class
+*.pyc
+
+.vscode/
+
+example
+toDo.txt

extensions-builtin/sd-webui-reactor/API.md

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+# <div align="center">ReActor Extension API</div>
+
+<div align="center">
+
+[Built-in SD WebUI API](#built-in-sd-webui-api) | [External ReActor API](#external-reactor-api)
+
+---
+</div>
+
+Gourieff's **ReActor** SD WebUI Extension allows to operate via API: both built-in and external (POST and GET requests).
+
+
+## Built-in SD WebUI API
+
+This API is actual if you use Automatic1111 stable-diffusion-webui.
+
+First of all - check the [SD Web API Wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API) for how to use the API.
+
+* Call `requests.get(url=f'{address}/sdapi/v1/script-info')` to find the args that ReActor needs;
+* Define ReActor script args and add like this `"alwayson_scripts": {"reactor":{"args":args}}` in the payload;
+* Call the API. 
+
+You can find the [full usage example](./example/api_example.py) with all the available parameters and discriptions in the "example" folder.
+
+## External ReActor API
+
+ReActor extension supports for external calls via POST or GET requests while your SD WebUI server is working.
+
+> :warning: Source and Target images must be "base64".
+
+Example:
+
+```
+curl -X POST \
+	'http://127.0.0.1:7860/reactor/image' \
+    -H 'accept: application/json' \
+    -H 'Content-Type: application/json' \
+    -d '{
+    "source_image": "data:image/png;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAABQAAD/7g...",
+    "target_image": "data:image/png;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAABCAAD/7g...",
+    "source_faces_index": [0],
+    "face_index": [0],
+    "upscaler": "4x_Struzan_300000",
+    "scale": 2,
+    "upscale_visibility": 1,
+    "face_restorer": "CodeFormer",
+    "restorer_visibility": 1,
+    "restore_first": 1,
+    "model": "inswapper_128.onnx",
+    "gender_source": 0,
+    "gender_target": 0,
+    "save_to_file": 0,
+    "result_file_path": ""
+	}'
+```
+
+* Set `"upscaler"` to `"None"` and `"scale"` to `1` if you don't need to upscale;
+* Set `"save_to_file"` to `1` if you need to save result to a file;
+* `"result_file_path"` is set to the `"outputs/api"` folder by default (please, create the folder beforehand to avoid any errors) with a timestamped filename; (output_YYYY-MM-DD_hh-mm-ss), you can set any specific path, e.g. `"C:/stable-diffusion-webui/outputs/api/output.png"`.
+
+You can find full usage examples with all the available parameters in the "example" folder: [cURL](./example/api_external.curl), [JSON](./example/api_external.json).
+
+As a result you recieve a "base64" image:
+
+```
+{"image":"iVBORw0KGgoAAAANSUhEUgAABlAAAARQCAIAAAAdiYuqAAEAAElEQVR4nOz9+ZMlSXImBn6qau4vIjKzzr5wzwBCDrm/7f+/K7IHV3ZkhUIuyZHlkBhiMGig0Y0..."}
+```
+
+A list of available models can be seen by GET:
+* http://127.0.0.1:7860/reactor/models
+* http://127.0.0.1:7860/reactor/upscalers

extensions-builtin/sd-webui-reactor/LICENSE

@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
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extensions-builtin/sd-webui-reactor/README.md

@@ -0,0 +1,269 @@
+<div align="center">
+
+  <img src="example/ReActor_logo_red.png" alt="logo" width="180px"/>
+    
+  ![Version](https://img.shields.io/badge/version-0.4.2_beta2-green?style=for-the-badge&labelColor=darkgreen)<hr>
+  [![Commit activity](https://img.shields.io/github/commit-activity/t/Gourieff/sd-webui-reactor/main?cacheSeconds=0)](https://github.com/Gourieff/sd-webui-reactor/commits/main)
+  ![Last commit](https://img.shields.io/github/last-commit/Gourieff/sd-webui-reactor/main?cacheSeconds=0)
+  [![Opened issues](https://img.shields.io/github/issues/Gourieff/sd-webui-reactor?color=red)](https://github.com/Gourieff/sd-webui-reactor/issues?cacheSeconds=0)
+  [![Closed issues](https://img.shields.io/github/issues-closed/Gourieff/sd-webui-reactor?color=green&cacheSeconds=0)](https://github.com/Gourieff/sd-webui-reactor/issues?q=is%3Aissue+is%3Aclosed)
+  ![License](https://img.shields.io/github/license/Gourieff/sd-webui-reactor)
+
+  English | [Русский](/README_RU.md)
+
+# ReActor for Stable Diffusion
+
+</div>
+
+### The Fast and Simple FaceSwap Extension with a lot of improvements and without NSFW filter (uncensored, use it on your own [responsibility](#disclaimer)) 
+
+> Ex "Roop-GE" (GE - Gourieff Edition, aka "NSFW-Roop"), the extension was renamed with the version 0.3.0<br>
+> Repository old link: `https://github.com/Gourieff/sd-webui-roop-nsfw`
+
+---
+<div align="center">
+  <b>
+    <a href="#installation">Installation</a> | <a href="#features">Features</a> | <a href="#usage">Usage</a> | <a href="#api">API</a> | <a href="#troubleshooting">Troubleshooting</a> | <a href="#updating">Updating</a> | <a href="#comfyui">ComfyUI</a> | <a href="#disclaimer">Disclaimer</a>
+  </b>
+</div>
+
+---
+
+<table>
+  <tr>
+    <td width="144px">
+      <a href="https://boosty.to/artgourieff" target="_blank">
+        <img src="https://lovemet.ru/www/boosty.jpg" width="108" alt="Support Me on Boosty"/>
+        <br>
+        <sup>
+          Support This Project
+        </sup>
+      </a>
+    </td>
+    <td>
+      ReActor is an extension for Stable Diffusion WebUI that allows a very easy and accurate face-replacement (face swap) in images. Based on <a href="https://github.com/Gourieff/ReActor-UI" target="_blank">ReActor-UI</a>.
+    </td>
+  </tr>
+</table>
+
+<img src="example/demo_crop.jpg" alt="example"/>
+
+## Installation
+
+[Automatic1111](#a1111) | [Vladmandic SD.Next](#sdnext) | [Google Colab SD WebUI](#colab)
+
+<a name="a1111">If you use [AUTOMATIC1111 web-ui](https://github.com/AUTOMATIC1111/stable-diffusion-webui/):
+
+1. (For Windows Users):
+  - Install **Visual Studio 2022** (Community version, for example - you need this step to build some of dependencies):
+  https://visualstudio.microsoft.com/downloads/
+  - OR only **VS C++ Build Tools** (if you don't need the whole Visual Studio) and select "Desktop Development with C++" under "Workloads -> Desktop & Mobile":
+  https://visualstudio.microsoft.com/visual-cpp-build-tools/
+  - OR if you don't want to install VS or VS C++ BT - follow [this steps (sec. VIII)](#insightfacebuild)
+2. In web-ui, go to the "Extensions" tab and use this URL `https://github.com/Gourieff/sd-webui-reactor` in the "Install from URL" tab and click "Install"
+3. Please, wait for several minutes until the installation process will be finished
+4. Check the last message in your SD-WebUI Console:
+* If you see the message "--- PLEASE, RESTART the Server! ---" - so, do it, stop the Server (CTRL+C or CMD+C) and start it again - or just go to the "Installed" tab (*if you have any other Roop-based extension enabled - disable it, otherwise this extension won't work*), click "Apply and restart UI" 
+* If you see the message "Done!", just go to the "Installed" tab (*if you have any other Roop-based extension enabled - disable it, otherwise this extension won't work*), click "Apply and restart UI" - or you can just simply reload the UI
+5. Enjoy!
+
+<a name="sdnext">If you use [SD.Next](https://github.com/vladmandic/automatic):
+
+1. Close (stop) your SD WebUI Server if it's running
+2. (For Windows Users) See the [1st step](#a1111) for Automatic1111 (if you followed [this steps (sec. VIII)](#insightfacebuild) instead - go to the Step 5)
+3. Go to (Windows)`automatic\venv\Scripts` or (MacOS/Linux)`automatic/venv/bin`, run Terminal or Console (cmd) for that folder and type `activate`
+4. Run `pip install insightface==0.7.3`
+5. Run SD.Next, go to the "Extensions" tab and use this URL `https://github.com/Gourieff/sd-webui-reactor` in the "Install from URL" tab and click "Install"
+6. Please, wait for several minutes until the installation process will be finished
+7. Check the last message in your SD.Next Console:
+* If you see the message "--- PLEASE, RESTART the Server! ---" - so, do it, stop the Server (CTRL+C or CMD+C) and start it again - or just go to the "Installed" tab (*if you have any other Roop-based extension enabled - disable it, otherwise this extension won't work*), click "Restart the UI"
+8. Stop SD.Next, go to the `automatic\extensions\sd-webui-reactor` directory - if you see there `models\insightface` folder with the file `inswapper_128.onnx`, just move the file to the `automatic\models\insightface` folder
+9. Run your SD.Next WebUI and enjoy!
+
+<a name="colab">If you use [Cagliostro Colab UI](https://github.com/Linaqruf/sd-notebook-collection):
+
+1. In active WebUI, go to the "Extensions" tab and use this URL `https://github.com/Gourieff/sd-webui-reactor` in the "Install from URL" tab and click "Install"
+2. Please, wait for several minutes until the installation process will be finished
+3. When you see the message "--- PLEASE, RESTART the Server! ---" (in your Colab Notebook Start UI section "Start Cagliostro Colab UI") - just go to the "Installed" tab and click "Apply and restart UI" (*if you have any other Roop-based extension enabled - disable it before restart, otherwise this extension won't work*)
+4. Enjoy!
+
+## Features
+
+- Very fast and accurate **face replacement (face swap)** in images
+- **Multiple faces support**
+- **Gender detection**
+- Ability to **save original images** (made before swapping)
+- **Face restoration** of a swapped face
+- **Upscaling** of a resulting image
+- Ability to set the **Postprocessing order**
+- **100% compatibility** with different **SD WebUIs**: Automatic1111, SD.Next, Cagliostro Colab UI
+- **Fast performance** even with CPU, ReActor for SD WebUI is absolutely not picky about how powerful your GPU is
+- **[API](/API.md) support**: both SD WebUI built-in and external (via POST/GET requests)
+- **ComfyUI [support](https://github.com/Gourieff/comfyui-reactor-node)**
+- **Mac M1/M2 [support](https://github.com/Gourieff/sd-webui-reactor/issues/42)**
+- Console **log level control**
+- **NSFW filter free** (this extension is aimed at highly developed intellectual people, not at perverts; our society must be oriented on its way towards the highest standards, not the lowest - this is the essence of development and evolution; so, my position is - that mature-minded people are clever enough to understand for themselves what is good and what is bad and take full responsibility for personal actions; for others - no "filters" will help until they do understand how Universe works)
+
+## Usage
+
+> Using this software you are agree with [disclaimer](#disclaimer)
+
+1. Under "ReActor" drop-down menu, import an image containing a face;
+2. Turn on the "Enable" checkbox;
+3. That's it, now the generated result will have the face you selected.
+
+<img src="example/example.jpg" alt="example" width="808"/>
+
+
+### The result face is blurry
+Use the "Restore Face" option. You can also try the "Upscaler" option or for more finer control, use an upscaler from the "Extras" tab.
+You can also set the postproduction order (from 0.1.0 version):
+<img src="example/pp-order.png" alt="example"/>
+
+*The old logic was the opposite (Upscale -> then Restore), resulting in worse face quality (and big texture differences) after upscaling.* 
+
+### There are multiple faces in result
+Select the face numbers you wish to swap using the "Comma separated face number(s)" option for swap-source and result images. You can use different index order.
+<img src="example/multiple-faces.png" alt="example"/>
+
+### ~~The result is totally black~~
+~~This means NSFW filter detected that your image is NSFW.~~
+
+<img src="example/IamSFW.jpg" alt="IamSFW" width="50%"/>
+
+### Img2Img
+
+You can choose to activate the swap on the source image or on the generated image, or on both using the checkboxes. Activating on source image allows you to start from a given base and apply the diffusion process to it.
+
+ReActor works with Inpainting - but only the masked part will be swapped.<br>Please use with the "Only masked" option for "Inpaint area" if you enabled "Upscaler". Otherwise use the upscale option via the Extras tab or via the Script loader (below the screen) with "SD upscale" or "Ultimate SD upscale".
+
+## API
+
+You can use ReActor with the built-in Webui API or via an external API.
+
+Please follow **[this](/API.md)** page for the detailed instruction.
+
+## Troubleshooting
+
+### **I. "You should at least have one model in models directory"**
+
+Please, check the path where "inswapper_128.onnx" model is stored. It must be inside the folder `stable-diffusion-webui\models\insightface`. Move the model there if it's stored in a different directory.
+
+### **II. Any problems with installing Insightface or other dependencies**
+
+(for Mac M1/M2 users) If you get errors when trying to install Insightface - please read https://github.com/Gourieff/sd-webui-reactor/issues/42
+
+(for Windows Users) If you have VS C++ Build Tools or MS VS 2022 installed but still have a problem, then try the next step:
+1. Close (stop) your SD WebUI Server and start it again
+   
+(for Any OS Users) If the problem still there, then do the following:
+1. Close (stop) your SD WebUI Server if it's running
+2. Go to (Windows)`venv\Lib\site-packages` folder or (MacOS/Linux)`venv/lib/python3.10/site-packages`
+3. If you see any folders with names start from `~` (e.g. "~rotobuf") - delete them
+4. Go to (Windows)`venv\Scripts` or (MacOS/Linux)`venv/bin`
+5. Run Terminal or Console (cmd) for that folder and type `activate`
+6. Update your pip at first: `pip install -U pip`
+7. Then one-by-one:
+   - `pip install insightface==0.7.3`
+   - `pip install onnx==1.14.0`
+   - `pip install onnxruntime==1.15.0`
+   - `pip install opencv-python==4.7.0.72`
+   - `pip install tqdm`
+8. Type `deactivate`, you can close your Terminal or Console and start your SD WebUI, ReActor should start OK - if not, welcome to the Issues section.
+
+### **III. "TypeError: UpscaleOptions.init() got an unexpected keyword argument 'do_restore_first'"**
+
+First of all - you need to disable any other Roop-based extensions:
+- Go to 'Extensions -> Installed' tab and uncheck any Roop-based extensions except this one
+  <img src="example/roop-off.png" alt="uncompatible-with-other-roop"/>
+- Click 'Apply and restart UI'
+
+Alternative solutions: 
+- https://github.com/Gourieff/sd-webui-reactor/issues/3#issuecomment-1615919243
+- https://github.com/Gourieff/sd-webui-reactor/issues/39#issuecomment-1666559134 (can be actual, if you use Vladmandic SD.Next)
+
+### **IV. "AttributeError: 'FaceSwapScript' object has no attribute 'enable'"**
+
+You need to disable the "SD-CN-Animation" extension (or perhaps some another that causes the conflict)
+
+### **V. "INVALID_PROTOBUF : Load model from <...>\models\insightface\inswapper_128.onnx failed:Protobuf parsing failed" OR "AttributeError: 'NoneType' object has no attribute 'get'"**
+
+This error may occur if there's smth wrong with the model file `inswapper_128.onnx`
+
+Try to download it manually from [here](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx)
+and put it to the `stable-diffusion-webui\models\insightface` replacing existing one
+
+### **VI. "ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled"**
+
+1. Close (stop) your SD WebUI Server if it's running
+2. Go to the (Windows)`venv\Lib\site-packages` or (MacOS/Linux)`venv/lib/python3.10/site-packages` and see if there are any folders with names start from "~" (for example "~rotobuf"), delete them
+3. Go to the (Windows)`venv\Scripts` or (MacOS/Linux)`venv/bin` run Terminal or Console (cmd) there and type `activate`
+4. Then:
+- `python -m pip install -U pip`
+- `pip uninstall -y onnx onnxruntime onnxruntime-gpu onnxruntime-silicon`
+- `pip install onnx==1.14.0 onnxruntime==1.15.0`
+
+If it didn't help - it seems that you have another extension reinstalling `onnxruntime` when SD WebUI checks requirements. Please see your extensions list. If you find there "WD14 tagger" - try to disable it and then follow the steps above once again. This extension causes reinstalling of `onnxruntime` to `onnxruntime-gpu` every time SD WebUI runs.
+
+### **VII. "ImportError: cannot import name 'builder' from 'google.protobuf.internal'"**
+
+1. Close (stop) your SD WebUI Server if it's running
+2. Go to the (Windows)`venv\Lib\site-packages` or (MacOS/Linux)`venv/lib/python3.10/site-packages` and see if there are any folders with names start from "~" (for example "~rotobuf"), delete them
+3. Go to the "google" folder (inside the "site-packages") and delete any folders there with names start from "~"
+4. Go to the (Windows)`venv\Scripts` or (MacOS/Linux)`venv/bin` run Terminal or Console (cmd) there and type `activate`
+5. Then:
+- `python -m pip install -U pip`
+- `pip uninstall protobuf`
+- `pip install protobuf==3.20.3`
+
+If this method doesn't help - there is some other extension that has a higher version of protobuf dependence and SD WebUI installs it on a startup requirements check
+
+<a name="insightfacebuild">
+
+### **VIII. (For Windows users) If you still cannot build Insightface for some reasons or just don't want to install Visual Studio or VS C++ Build Tools - do the following:**
+
+1. Close (stop) your SD WebUI Server if it's running
+2. Download and put [prebuilt Insightface package](https://github.com/Gourieff/sd-webui-reactor/raw/main/example/insightface-0.7.3-cp310-cp310-win_amd64.whl) into the stable-diffusion-webui (or SD.Next) root folder (where you have "webui-user.bat" file)
+3. From stable-diffusion-webui (or SD.Next) root folder run CMD and `.\venv\Scripts\activate`
+4. Then update your PIP: `python -m pip install -U pip`
+5. Then install Insightface: `pip install insightface-0.7.3-cp310-cp310-win_amd64.whl`
+6. Enjoy!
+
+### **IX. 07-August-23 Update problem**
+
+If after `git pull` you see the message: `Merge made by the 'recursive' strategy` and then when you check `git status` you see `Your branch is ahead of 'origin/main' by`
+
+Please do the next:
+
+Inside the folder `extensions\sd-webui-reactor` run Terminal or Console (cmd) and then:
+- `git reset f48bdf1 --hard`
+- `git pull`
+
+OR
+
+Just delete the folder `sd-webui-reactor` inside the `extensions` directory and then run Terminal or Console (cmd) and type `git clone https://github.com/Gourieff/sd-webui-reactor`
+
+
+## Updating
+
+A good and quick way to check for Extensions updates: https://github.com/Gourieff/sd-webui-extensions-updater
+
+## ComfyUI
+
+You can use ReActor with ComfyUI.<br>
+For the installation instruction follow the [ReActor Node repo](https://github.com/Gourieff/comfyui-reactor-node)
+
+## Disclaimer
+
+This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
+
+The developers of this software are aware of its possible unethical applicaitons and are committed to take preventative measures against them. We will continue to develop this project in the positive direction while adhering to law and ethics.
+
+Users of this software are expected to use this software responsibly while abiding the local law. If face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. **Developers and Contributors of this software are not responsible for actions of end-users.**
+
+By using this extension you are agree not to create any content that:
+- violates any laws;
+- causes any harm to a person or persons;
+- propogates (spreads) any information (both public or personal) or images (both public or personal) which could be meant for harm;
+- spreads misinformation;
+- targets vulnerable groups of people.

extensions-builtin/sd-webui-reactor/README_RU.md

@@ -0,0 +1,277 @@
+<div align="center">
+
+  <img src="example/ReActor_logo_red.png" alt="logo" width="180px"/>
+    
+  ![Version](https://img.shields.io/badge/версия-0.4.2_beta2-green?style=for-the-badge&labelColor=darkgreen)<hr>
+  [![Commit activity](https://img.shields.io/github/commit-activity/t/Gourieff/sd-webui-reactor/main?cacheSeconds=0)](https://github.com/Gourieff/sd-webui-reactor/commits/main)
+  ![Last commit](https://img.shields.io/github/last-commit/Gourieff/sd-webui-reactor/main?cacheSeconds=0)
+  [![Opened issues](https://img.shields.io/github/issues/Gourieff/sd-webui-reactor?color=red)](https://github.com/Gourieff/sd-webui-reactor/issues?cacheSeconds=0)
+  [![Closed issues](https://img.shields.io/github/issues-closed/Gourieff/sd-webui-reactor?color=green&cacheSeconds=0)](https://github.com/Gourieff/sd-webui-reactor/issues?q=is%3Aissue+is%3Aclosed)
+  ![License](https://img.shields.io/github/license/Gourieff/sd-webui-reactor)
+
+  [English](/README.md) | Русский
+
+# ReActor для Stable Diffusion
+### Расширение для быстрой и простой замены лиц на любых изображениях. Без фильтра цензуры, 18+, используйте под вашу собственную [ответственность](#disclaimer)
+
+</div>
+
+---
+<div align="center">
+  <b>
+    <a href="#installation">Установка</a> | <a href="#features">Возможности</a> | <a href="#usage">Использование</a> | <a href="#api">API</a> | <a href="#troubleshooting">Устранение проблем</a> | <a href="#updating">Обновление</a> | <a href="#comfyui">ComfyUI</a> | <a href="#disclaimer">Ответственность</a>
+  </b>
+</div>
+
+---
+
+<table>
+  <tr>
+    <td width="144px">
+      <a href="https://boosty.to/artgourieff" target="_blank">
+        <img src="https://lovemet.ru/www/boosty.jpg" width="108" alt="Support Me on Boosty"/>
+        <br>
+        <sup>
+          Поддержать проект
+        </sup>
+      </a>
+    </td>
+    <td>
+      ReActor это расширение для Stable Diffusion WebUI, которое позволяет делать простую и точную замену лиц на изображениях. Сделано на основе <a href="https://github.com/Gourieff/ReActor-UI" target="_blank">ReActor-UI</a>.
+    </td>
+  </tr>
+</table>
+
+<img src="example/demo_crop.jpg" alt="example"/>
+
+<a name="installation">
+
+## Установка
+
+[Automatic1111](#a1111) | [Vladmandic SD.Next](#sdnext) | [Google Colab SD WebUI](#colab)
+
+<a name="a1111">Если вы используете [AUTOMATIC1111 Web-UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui/):
+
+1. (Для пользователей Windows):
+  - Установите **Visual Studio 2022** (Например, версию Community - этот шаг нужен для правильной компиляции библиотеки Insightface):
+  https://visualstudio.microsoft.com/downloads/
+  - ИЛИ только **VS C++ Build Tools** (если вам не нужен весь пакет Visual Studio), выберите "Desktop Development with C++" в разделе "Workloads -> Desktop & Mobile":
+  https://visualstudio.microsoft.com/visual-cpp-build-tools/
+  - ИЛИ если же вы не хотите устанавливать что-либо из вышеуказанного - выполните [следующие шаги (пункт VIII)](#insightfacebuild)
+2. Внутри SD Web-UI перейдите во вкладку "Extensions" и вставьте ссылку `https://github.com/Gourieff/sd-webui-reactor` в "Install from URL" и нажмите "Install"
+3. Пожалуйста, подождите несколько минут, пока процесс установки полностью не завершится
+4. Проверьте последнее сообщение в консоли SD-WebUI:
+* Если вы видите "--- PLEASE, RESTART the Server! ---" - остановите Сервер (CTRL+C или CMD+C) и запустите его заново - ИЛИ же перейдите во вкладку "Installed" (*если у вас имееются какие-либо другие расширение, основанные на Roop или клонах ReActor - отключите их, иначе данное расширение может не работать*), нажмите "Apply and restart UI" 
+* Если вы видите "Done!", перейдите во вкладку "Installed" (*если у вас имееются какие-либо другие расширение, основанные на Roop или клонах ReActor - отключите их, иначе данное расширение может не работать*), нажмите "Apply and restart UI" - или же просто перезагрузите UI, нажав на "Reload UI"
+5. Готово!
+
+<a name="sdnext">Если вы используете [SD.Next](https://github.com/vladmandic/automatic):
+
+1. Закройте (остановите) SD WebUI Сервер, если он запущен
+2. (Для пользователей Windows) Смотрите [Шаг 1](#a1111) для Automatic1111 (если же вы следовали [данным шагам (пункт VIII)](#insightfacebuild) вместо этого - переходите к Шагу 5)
+3. Перейдите в (Windows)`automatic\venv\Scripts` или (MacOS/Linux)`automatic/venv/bin`, запустите Терминал или Консоль (cmd) для данной папки и выполните `activate`
+4. Выполните `pip install insightface==0.7.3`
+5. Запустите SD.Next, перейдите во вкладку "Extensions", вставьте эту ссылку `https://github.com/Gourieff/sd-webui-reactor` в "Install from URL" и нажмите "Install"
+6. Пожалуйста, подождите несколько минут, пока процесс установки полностью не завершится
+7. Проверьте последнее сообщение в консоли SD.Next:
+* Если вы видите "--- PLEASE, RESTART the Server! ---" - остановите Сервер (CTRL+C или CMD+C) и запустите его заново - ИЛИ же перейдите во вкладку "Installed" (*если у вас имееются какие-либо другие расширение, основанные на Roop или клонах ReActor - отключите их, иначе данное расширение может не работать*), нажмите "Restart the UI"
+8. Остановите Сервер SD.Next, перейдите в директорию `automatic\extensions\sd-webui-reactor` - если вы видите там папку `models\insightface` с файлом `inswapper_128.onnx` внутри, переместите его в папку `automatic\models\insightface`
+9. Готово, можете запустить SD.Next WebUI!
+
+<a name="colab">Если вы используете [Cagliostro Colab UI](https://github.com/Linaqruf/sd-notebook-collection):
+
+1. В активном WebUI, перейдите во вкладку "Extensions", вставьте ссылку `https://github.com/Gourieff/sd-webui-reactor` в "Install from URL" и нажмите "Install"
+2. Пожалуйста, подождите некоторое время, пока процесс установки полностью не завершится
+3. Когда вы увидите сообщение "--- PLEASE, RESTART the Server! ---" (в секции "Start UI" вашего ноутбука "Start Cagliostro Colab UI") - перейдите во вкладку "Installed" и нажмите "Apply and restart UI" (*если у вас имееются какие-либо другие расширение, основанные на Roop или клонах ReActor - отключите их, иначе данное расширение может не работать*)
+4. Готово!
+
+<a name="features">
+
+## Возможности
+
+- Быстрая и точна **замена лиц (faceswap)** на изображении
+- **Поддержка нескольких лиц**
+- **Определение пола**
+- Функция **сохранения оригинального изображения** (сгенерированного до замены лица)
+- **Восстановление лица** после замены
+- **Увеличение размера** полученного изображения
+- Возможность задать **порядок постобработки**
+- **100% совместимость** с разными **SD WebUI**: Automatic1111, SD.Next, Cagliostro Colab UI
+- **Отличная производительность** даже с использованием ЦПУ, ReActor для SD WebUI абсолютно не требователен к мощности вашей видеокарты
+- **Поддержка [API](/API.md)**: как встроенного в SD WebUI, так и внешнего (через POST/GET запросы)
+- **[Поддержка](https://github.com/Gourieff/comfyui-reactor-node) ComfyUI**
+- **[Поддержка](https://github.com/Gourieff/sd-webui-reactor/issues/42) компьютеров Mac M1/M2**
+- **Регулировка уровня логов** консоли
+- **Без NSFW фильтров** (данное расширение адресовано высокоразвитым интеллектуальным людям, а не извращенцам; наше общество должно быть ориентировано на своём пути на высшие стандарты, а не на низшие - в этом состоит суть развития и эволюции человеческого общества; поэтому, моя позиция такова - что зрелые у��ом люди достаточно разумны, чтобы понимать, что есть хорошо, а что плохо и нести полную ответственность за собственные действия; для прочих - никакие "фильтры" не помогут, пока эти люди сами не поймут, как работает Вселенная)
+
+<a name="usage">
+
+## Использование
+
+> Используя данное программное обеспечение, вы соглашаетесь с [ответственностью](#disclaimer)
+
+1. В раскрывающимся меню "ReActor" импортируйте изображение, содержащее лицо;
+2. Установите флажок "Enable";
+3. Готово, теперь результат будет иметь то лицо, которое вы выбрали.
+
+<img src="example/example.jpg" alt="example" width="808"/>
+
+
+### Если лицо получилось нечётким
+Используйте опцию "Restore Face". Также можете попробовать опцию "Upscaler". Для более точного контроля параметров используйте Upscaler во вкладке "Extras".
+Также вы можете установить порядок постобработки (начиная с версии 0.1.0):
+<img src="example/pp-order.png" alt="example"/>
+
+*Прежняя логика была противоположенной (Upscale -> затем Restore), что приводило к более худшему качеству изображения лица (а также к значительной разнице текстур) после увеличения.* 
+
+### Результат имеет несколько лиц
+Выберите номера лиц, которые нужно поменять, используя поля "Comma separated face number(s)" для исходного изображения лица и для результата. Можно устанавливать любой, необходимый вам, порядок лиц.
+<img src="example/multiple-faces.png" alt="example"/>
+
+### ~~Результат получился чёрным~~
+~~Это значит, что сработал NSFW фильтр.~~
+
+<img src="example/IamSFW.jpg" alt="IamSFW" width="50%"/>
+
+### Img2Img
+
+Используйте эту вкладку, чтобы заменить лицо на уже готовом изображении (флажок "Swap in source image") или на сгенерированном на основе готового (флажок "Swap in generated image").
+
+Inpainting также работает, но замена лица происходит только в области маски.<br>Пожалуйста, используйте с опцией "Only masked" для "Inpaint area", если вы применяете "Upscaler". Иначе, используйте функцию увеличения (апскейла) через вкладку "Extras" или через опциональный загрузчик "Script" (внизу экрана), применив "SD upscale" или "Ultimate SD upscale".
+
+## API
+
+Вы можете использовать ReActor как со встроенным SD Webui API так и через внешнее API.
+
+Подробная инструкция **[здесь](/API.md)**.
+
+<a name="troubleshooting">
+
+## Устранение проблем
+
+### **I. "You should at least have one model in models directory"**
+
+Проверьте путь, где хранится модель "inswapper_128.onnx". Файл должен находиться в папке `stable-diffusion-webui\models\insightface`. Переместите модель туда, если она находится в какой-то иной директории.
+
+### **II. Какие-либо проблемы с установкой Insightface или прочих пакетов**
+
+(Для пользователей Mac M1/M2) Если вы получаете ошибки в ходе установки Insightface - читайте https://github.com/Gourieff/sd-webui-reactor/issues/42
+
+(Для пользователей Windows) Если VS C++ Build Tools или MS VS 2022 установлены но вы видите ошибки, связанные с отсутствием Insightface, попробуйте следующее:
+1. Закройте (остановите) SD WebUI Сервер и запустите его снова (возможно, не прошла инициализация пакета после его установки)
+   
+(Для пользователей любых ОС) Попробуйте следующее:
+1. Закройте (остановите) SD WebUI Сервер, если он запущен
+2. Перейдите в папку (Windows)`venv\Lib\site-packages` или (MacOS/Linux)`venv/lib/python3.10/site-packages`
+3. Если вы видите к-л папки с именами, начинающимися с `~` (например, "~rotobuf") - удалите их
+4. Перейдите в (Windows)`venv\Scripts` или (MacOS/Linux)`venv/bin`
+5. Откройте Терминал или Консоль (cmd) для этой папки и выполните `activate`
+6. Для начала обновите pip: `pip install -U pip`
+7. Далее:
+   - `pip install insightface==0.7.3`
+   - `pip install onnx==1.14.0`
+   - `pip install onnxruntime==1.15.0`
+   - `pip install opencv-python==4.7.0.72`
+   - `pip install tqdm`
+8. Выполните `deactivate`, закройте Терминал или Консоль и запустите SD WebUI, ReActor должен запуститься без к-л проблем - если же нет, добро пожаловать в раздел "Issues".
+
+### **III. "TypeError: UpscaleOptions.init() got an unexpected keyword argument 'do_restore_first'"**
+
+Для начала отключите любые другие Roop-подобные расширения:
+- Перейдите в 'Extensions -> Installed' и снимите флажок с ненужных:
+  <img src="example/roop-off.png" alt="uncompatible-with-other-roop"/>
+- Нажмите 'Apply and restart UI'
+
+Альтернативные решения: 
+- https://github.com/Gourieff/sd-webui-reactor/issues/3#issuecomment-1615919243
+- https://github.com/Gourieff/sd-webui-reactor/issues/39#issuecomment-1666559134 (актуально для Vladmandic SD.Next)
+
+### **IV. "AttributeError: 'FaceSwapScript' object has no attribute 'enable'"**
+
+Отключите расширение "SD-CN-Animation" (или какое-либо другое, вызывающее конфликт)
+
+### **V. "INVALID_PROTOBUF : Load model from <...>\models\insightface\inswapper_128.onnx failed:Protobuf parsing failed" ИЛИ "AttributeError: 'NoneType' object has no attribute 'get'"**
+
+Эта ошибка появляется, если что-то не так с файлом модели `inswapper_128.onnx`.
+
+Скачайте вручную по ссылке [here](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx)
+и сохраните в директорию `stable-diffusion-webui\models\insightface`, заменив имеющийся файл.
+
+### **VI. "ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'] enabled"**
+
+1. Закройте (остановите) SD WebUI Сервер, если он запущен
+2. Перейдите в (Windows)`venv\Lib\site-packages` или (MacOS/Linux)`venv/lib/python3.10/site-packages` и посмотрите, если там папки с именам, начинающимися на "~" (например, "~rotobuf"), удалите их
+3. Перейдите в (Windows)`venv\Scripts` или (MacOS/Linux)`venv/bin`, откройте Терминал или Консоль (cmd) и выполните `activate`
+4. Затем:
+- `python -m pip install -U pip`
+- `pip uninstall -y onnx onnxruntime onnxruntime-gpu onnxruntime-silicon`
+- `pip install onnx==1.14.0 onnxruntime==1.15.0`
+
+Если это не помогло - значит какое-то другое расширение переустанавливает `onnxruntime` всякий раз, когда SD WebUI проверяет требования пакетов. Внимательно посмотрите список активных расширений. Если видите там "WD14 tagger" - попробуйте отключить его и ещё раз выполнить шаги выше. Это расширение вызывает переустановку `onnxruntime` на `onnxruntime-gpu` при каждом запуске SD WebUI.
+
+### **VII. "ImportError: cannot import name 'builder' from 'google.protobuf.internal'"**
+
+1. Закройте (остановите) SD WebUI Сервер, если он запущен
+2. Перейдите в (Windows)`venv\Lib\site-packages` или (MacOS/Linux)`venv/lib/python3.10/site-packages` и посмотрите, если там папки с именам, начинающимися на "~" (например, "~rotobuf"), удалите их
+3. Перейдите в папку "google" (внутри "site-packages") и удалите любые папки с именам, начинающимися на "~"
+4. Перейдите в (Windows)`venv\Scripts` или (MacOS/Linux)`venv/bin`, откройте Терминал или Консоль (cmd) и выполните `activate`
+5. Затем:
+- `python -m pip install -U pip`
+- `pip uninstall protobuf`
+- `pip install protobuf==3.20.3`
+
+Если это не помгло - значит, есть к-л другое расширение, которое использует более новую версию пакета protobuf, и SD WebUI устанавли��ает эту версию при каждом запуске.
+
+<a name="insightfacebuild">
+
+### **VIII. (Для пользователей Windows) Если вы до сих пор не можете установить пакет Insightface по каким-то причинам или же просто не желаете устанавливать Visual Studio или VS C++ Build Tools - сделайте следующее:**
+
+1. Закройте (остановите) SD WebUI Сервер, если он запущен
+2. Скачайте готовый [пакет Insightface](https://github.com/Gourieff/sd-webui-reactor/raw/main/example/insightface-0.7.3-cp310-cp310-win_amd64.whl) и сохраните его в корневую директорию stable-diffusion-webui (или SD.Next) - туда, где лежит файл "webui-user.bat"
+3. Из корневой директории откройте Консоль (CMD) и выполните `.\venv\Scripts\activate`
+4. Обновите PIP: `python -m pip install -U pip`
+5. Затем установите Insightface: `pip install insightface-0.7.3-cp310-cp310-win_amd64.whl`
+6. Готово!
+
+### **IX. Ошибка обновления 07-Август-23**
+
+Если после очередного `git pull` вы получили сообщение: `Merge made by the 'recursive' strategy` и затем, когда проверяете статус репозитория через `git status`, вы видите `Your branch is ahead of 'origin/main' by`
+
+Выполните следующее:
+
+Внутри папки `extensions\sd-webui-reactor` запустите Терминал или Консоль (cmd) и затем:
+- `git reset f48bdf1 --hard`
+- `git pull`
+
+ИЛИ:
+
+Полностью удалите папку `sd-webui-reactor` внутри директории `extensions`, запустите Терминал или Консоль (cmd) и выполните `git clone https://github.com/Gourieff/sd-webui-reactor`
+
+
+<a name="updating">
+
+## Обновление
+
+Самый простой и удобный способ обновления SD WebUI и расширений: https://github.com/Gourieff/sd-webui-extensions-updater
+
+## ComfyUI
+
+Вы можете использовать ReActor с ComfyUI<br>
+Инструкция здесь: [ReActor Node](https://github.com/Gourieff/comfyui-reactor-node)
+
+<a name="disclaimer">
+
+## Ответственность
+
+Это программное обеспечение призвано стать продуктивным вкладом в быстрорастущую медиаиндустрию на основе генеративных сетей и искусственного интеллекта. Данное ПО поможет художникам в решении таких задач, как анимация собственного персонажа или использование персонажа в качестве модели для одежды и т.д.
+
+Разработчики этого программного обеспечения осведомлены о возможных неэтичных применениях и обязуются принять против этого превентивные меры. Мы продолжим развивать этот проект в позитивном направлении, придерживаясь закона и этики.
+
+Подразумевается, что пользователи этого программного обеспечения будут использовать его ответственно, соблюдая локальное законодательство. Если используется лицо реального человека, пользователь обязан получить согласие заинтересованного лица и четко указать, что это дипфейк при размещении контента в Интернете. **Разработчики и Со-авторы данного программного обеспечения не несут ответственности за действия конечных пользователей.**
+
+Используя данное расширение, вы соглашаетесь не создавать материалы, которые:
+- нарушают какие-либо действующие законы тех или иных государств или международных организаций;
+- причиняют какой-либо вред человеку или лицам;
+- пропагандируют любую информацию (как общедоступную, так и личную) или изображения (как общедоступные, так и личные), которые могут быть направлены на причинение вреда;
+- используются для распростр��нения дезинформации;
+- нацелены на уязвимые группы людей.

extensions-builtin/sd-webui-reactor/example/api_example.py

@@ -0,0 +1,95 @@
+import base64, io, requests, json
+from PIL import Image, PngImagePlugin
+from datetime import datetime, date
+
+address = 'http://127.0.0.1:7860'
+input_file = "extensions\sd-webui-reactor\example\IamSFW.jpg" # Input file path
+time = datetime.now()
+today = date.today()
+current_date = today.strftime('%Y-%m-%d')
+current_time = time.strftime('%H-%M-%S')
+output = 'outputs/api/output_'+current_date+'_'+current_time # Output file path + name index
+try:
+    im = Image.open(input_file)
+except Exception as e:
+    print(e)
+finally:
+    print(im)
+
+img_bytes = io.BytesIO()
+im.save(img_bytes, format='PNG') 
+img_base64 = base64.b64encode(img_bytes.getvalue()).decode('utf-8')
+
+# ReActor arguments:
+args=[
+    img_base64, #0
+    True, #1 Enable ReActor
+    '0', #2 Comma separated face number(s) from swap-source image
+    '0', #3 Comma separated face number(s) for target image (result)
+    'C:\stable-diffusion-webui\models\insightface\inswapper_128.onnx', #4 model path
+    'CodeFormer', #4 Restore Face: None; CodeFormer; GFPGAN
+    1, #5 Restore visibility value
+    True, #7 Restore face -> Upscale
+    '4x_NMKD-Superscale-SP_178000_G', #8 Upscaler (type 'None' if doesn't need), see full list here: http://127.0.0.1:7860/sdapi/v1/script-info -> reactor -> sec.8
+    2, #9 Upscaler scale value
+    1, #10 Upscaler visibility (if scale = 1)
+    False, #11 Swap in source image
+    True, #12 Swap in generated image
+    1, #13 Console Log Level (0 - min, 1 - med or 2 - max)
+    0, #14 Gender Detection (Source) (0 - No, 1 - Female Only, 2 - Male Only)
+    0, #15 Gender Detection (Target) (0 - No, 1 - Female Only, 2 - Male Only)
+    False, #16 Save the original image(s) made before swapping
+]
+
+# The args for ReActor can be found by 
+# requests.get(url=f'{address}/sdapi/v1/script-info')
+
+prompt = "(8k, best quality, masterpiece, highly detailed:1.1),realistic photo of fantastic happy woman,hairstyle of blonde and red short bob hair,modern clothing,cinematic lightning,film grain,dynamic pose,bokeh,dof"
+
+neg = "ng_deepnegative_v1_75t,(badhandv4:1.2),(worst quality:2),(low quality:2),(normal quality:2),lowres,(bad anatomy),(bad hands),((monochrome)),((grayscale)),(verybadimagenegative_v1.3:0.8),negative_hand-neg,badhandv4,nude,naked,(strabismus),cross-eye,heterochromia,((blurred))"
+
+payload = {
+    "prompt": prompt,
+    "negative_prompt": neg,
+    "seed": -1,
+    "sampler_name": "DPM++ 2M Karras",
+    "steps": 15,
+    "cfg_scale": 7,
+    "width": 512,
+    "height": 768,
+    "restore_faces": False,
+    "alwayson_scripts": {"reactor":{"args":args}}
+}
+
+try:
+    print('Working... Please wait...')
+    result = requests.post(url=f'{address}/sdapi/v1/txt2img', json=payload)
+except Exception as e:
+    print(e)
+finally:
+    print('Done! Saving file...')
+
+if result is not None:
+    r = result.json()
+    n = 0
+
+    for i in r['images']:
+        image = Image.open(io.BytesIO(base64.b64decode(i.split(",",1)[0])))
+
+        png_payload = {
+            "image": "data:image/png;base64," + i
+        }
+        response2 = requests.post(url=f'{address}/sdapi/v1/png-info', json=png_payload)
+
+        pnginfo = PngImagePlugin.PngInfo()
+        pnginfo.add_text("parameters", response2.json().get("info"))
+        output_file = output+'_'+str(n)+'_.png'
+        try:
+            image.save(output_file, pnginfo=pnginfo)
+        except Exception as e:
+            print(e)
+        finally:
+            print(f'{output_file} is saved\nAll is done!')
+        n += 1
+else:
+    print('Something went wrong...')

extensions-builtin/sd-webui-reactor/install.py

@@ -0,0 +1,76 @@
+import subprocess
+import os, sys
+import pkg_resources
+from tqdm import tqdm
+import urllib.request
+from packaging import version as pv
+
+from modules.paths_internal import models_path
+
+req_file = os.path.join(os.path.dirname(os.path.realpath(__file__)), "requirements.txt")
+
+models_dir_old = os.path.join(models_path, "roop")
+models_dir = os.path.join(models_path, "insightface")
+if os.path.exists(models_dir_old):
+    os.rename(models_dir_old, models_dir)
+model_url = "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx"
+model_name = os.path.basename(model_url)
+model_path = os.path.join(models_dir, model_name)
+
+def run_pip(*args):
+    subprocess.run([sys.executable, "-m", "pip", "install", *args])
+
+def is_installed (
+        package: str, version: str | None = None, strict: bool = True
+):
+    has_package = None
+    try:
+        has_package = pkg_resources.get_distribution(package)
+        if has_package is not None:
+            installed_version = has_package.version
+            if (installed_version != version and strict == True) or (pv.parse(installed_version) < pv.parse(version) and strict == False):
+                return False
+            else:
+                return True
+        else:
+            return False
+    except Exception as e:
+        print(f"Error: {e}")
+        return False
+    
+def download(url, path):
+    request = urllib.request.urlopen(url)
+    total = int(request.headers.get('Content-Length', 0))
+    with tqdm(total=total, desc='Downloading...', unit='B', unit_scale=True, unit_divisor=1024) as progress:
+        urllib.request.urlretrieve(url, path, reporthook=lambda count, block_size, total_size: progress.update(block_size))
+
+if not os.path.exists(models_dir):
+    os.makedirs(models_dir)
+
+if not os.path.exists(model_path):
+    download(model_url, model_path)
+
+print("Checking ReActor requirements...", end=' ')
+with open(req_file) as file:
+    install_count = 0
+    strict = True
+    for package in file:
+        package_version = None
+        try:
+            package = package.strip()
+            if "==" in package:
+                package_version = package.split('==')[1]
+            elif ">=" in package:
+                package_version = package.split('>=')[1]
+                strict = False
+            if not is_installed(package,package_version,strict):
+                install_count += 1
+                run_pip(package)
+        except Exception as e:
+            print(e)
+            print(f"\nERROR: Failed to install {package} - ReActor won't start")
+            raise e
+    if install_count > 0:
+        print(f'\n--- PLEASE, RESTART the Server! ---\n')
+    else:
+        print('Ok')

extensions-builtin/sd-webui-reactor/requirements.txt

@@ -0,0 +1,4 @@
+insightface==0.7.3
+onnx>=1.14.0
+onnxruntime>=1.15.0
+opencv-python>=4.7.0.72

extensions-builtin/sd-webui-reactor/scripts/console_log_patch.py

@@ -0,0 +1,120 @@
+import os.path as osp
+import glob
+import logging
+import insightface
+from insightface.model_zoo.model_zoo import ModelRouter, PickableInferenceSession
+from insightface.model_zoo.retinaface import RetinaFace
+from insightface.model_zoo.landmark import Landmark
+from insightface.model_zoo.attribute import Attribute
+from insightface.model_zoo.inswapper import INSwapper
+from insightface.model_zoo.arcface_onnx import ArcFaceONNX
+from insightface.app import FaceAnalysis
+from insightface.utils import DEFAULT_MP_NAME, ensure_available
+from insightface.model_zoo import model_zoo
+import onnxruntime
+import onnx
+from onnx import numpy_helper
+from scripts.reactor_logger import logger
+
+
+def patched_get_model(self, **kwargs):
+    session = PickableInferenceSession(self.onnx_file, **kwargs)
+    inputs = session.get_inputs()
+    input_cfg = inputs[0]
+    input_shape = input_cfg.shape
+    outputs = session.get_outputs()
+
+    if len(outputs) >= 5:
+        return RetinaFace(model_file=self.onnx_file, session=session)
+    elif input_shape[2] == 192 and input_shape[3] == 192:
+        return Landmark(model_file=self.onnx_file, session=session)
+    elif input_shape[2] == 96 and input_shape[3] == 96:
+        return Attribute(model_file=self.onnx_file, session=session)
+    elif len(inputs) == 2 and input_shape[2] == 128 and input_shape[3] == 128:
+        return INSwapper(model_file=self.onnx_file, session=session)
+    elif input_shape[2] == input_shape[3] and input_shape[2] >= 112 and input_shape[2] % 16 == 0:
+        return ArcFaceONNX(model_file=self.onnx_file, session=session)
+    else:
+        return None
+
+
+def patched_faceanalysis_init(self, name=DEFAULT_MP_NAME, root='~/.insightface', allowed_modules=None, **kwargs):
+    onnxruntime.set_default_logger_severity(3)
+    self.models = {}
+    self.model_dir = ensure_available('models', name, root=root)
+    onnx_files = glob.glob(osp.join(self.model_dir, '*.onnx'))
+    onnx_files = sorted(onnx_files)
+    for onnx_file in onnx_files:
+        model = model_zoo.get_model(onnx_file, **kwargs)
+        if model is None:
+            print('model not recognized:', onnx_file)
+        elif allowed_modules is not None and model.taskname not in allowed_modules:
+            print('model ignore:', onnx_file, model.taskname)
+            del model
+        elif model.taskname not in self.models and (allowed_modules is None or model.taskname in allowed_modules):
+            self.models[model.taskname] = model
+        else:
+            print('duplicated model task type, ignore:', onnx_file, model.taskname)
+            del model
+    assert 'detection' in self.models
+    self.det_model = self.models['detection']
+
+
+def patched_faceanalysis_prepare(self, ctx_id, det_thresh=0.5, det_size=(640, 640)):
+    self.det_thresh = det_thresh
+    assert det_size is not None
+    self.det_size = det_size
+    for taskname, model in self.models.items():
+        if taskname == 'detection':
+            model.prepare(ctx_id, input_size=det_size, det_thresh=det_thresh)
+        else:
+            model.prepare(ctx_id)
+
+
+def patched_inswapper_init(self, model_file=None, session=None):
+    self.model_file = model_file
+    self.session = session
+    model = onnx.load(self.model_file)
+    graph = model.graph
+    self.emap = numpy_helper.to_array(graph.initializer[-1])
+    self.input_mean = 0.0
+    self.input_std = 255.0
+    if self.session is None:
+        self.session = onnxruntime.InferenceSession(self.model_file, None)
+    inputs = self.session.get_inputs()
+    self.input_names = []
+    for inp in inputs:
+        self.input_names.append(inp.name)
+    outputs = self.session.get_outputs()
+    output_names = []
+    for out in outputs:
+        output_names.append(out.name)
+    self.output_names = output_names
+    assert len(self.output_names) == 1
+    input_cfg = inputs[0]
+    input_shape = input_cfg.shape
+    self.input_shape = input_shape
+    self.input_size = tuple(input_shape[2:4][::-1])
+
+
+def patch_insightface(get_model, faceanalysis_init, faceanalysis_prepare, inswapper_init):
+    insightface.model_zoo.model_zoo.ModelRouter.get_model = get_model
+    insightface.app.FaceAnalysis.__init__ = faceanalysis_init
+    insightface.app.FaceAnalysis.prepare = faceanalysis_prepare
+    insightface.model_zoo.inswapper.INSwapper.__init__ = inswapper_init
+
+
+original_functions = [ModelRouter.get_model, FaceAnalysis.__init__, FaceAnalysis.prepare, INSwapper.__init__]
+patched_functions = [patched_get_model, patched_faceanalysis_init, patched_faceanalysis_prepare, patched_inswapper_init]
+
+
+def apply_logging_patch(console_logging_level):
+    if console_logging_level == 0:
+        patch_insightface(*patched_functions)
+        logger.setLevel(logging.WARNING)
+    elif console_logging_level == 1:
+        patch_insightface(*patched_functions)
+        logger.setLevel(logging.INFO)
+    elif console_logging_level == 2:
+        patch_insightface(*original_functions)
+        logger.setLevel(logging.INFO)

extensions-builtin/sd-webui-reactor/scripts/reactor_api.py

@@ -0,0 +1,111 @@
+'''
+Thanks SpenserCai for the original version of the roop api script
+-----------------------------------
+--- ReActor External API v1.0.0 ---
+-----------------------------------
+'''
+import os, glob
+from datetime import datetime, date
+from fastapi import FastAPI, Body
+
+# from modules.api.models import *
+from modules import scripts, shared
+from modules.api import api
+
+import gradio as gr
+
+from scripts.reactor_swapper import EnhancementOptions, swap_face
+from scripts.reactor_logger import logger
+
+
+def default_file_path():
+    time = datetime.now()
+    today = date.today()
+    current_date = today.strftime('%Y-%m-%d')
+    current_time = time.strftime('%H-%M-%S')
+    output_file = 'output_'+current_date+'_'+current_time+'.png'
+    return os.path.join(os.path.abspath("outputs/api"), output_file)
+
+def get_face_restorer(name):
+    for restorer in shared.face_restorers:
+        if restorer.name() == name:
+            return restorer
+    return None
+
+def get_upscaler(name):
+    for upscaler in shared.sd_upscalers:
+        if upscaler.name == name:
+            return upscaler
+    return None
+
+def get_models():
+    models_path = os.path.join(scripts.basedir(), "models/insightface/*")
+    models = glob.glob(models_path)
+    models = [x for x in models if x.endswith(".onnx") or x.endswith(".pth")]
+    return models
+
+def get_full_model(model_name):
+    models = get_models()
+    for model in models:
+        model_path = os.path.split(model)
+        if model_path[1] == model_name:
+            return model
+    return None
+
+def reactor_api(_: gr.Blocks, app: FastAPI):
+    @app.post("/reactor/image")
+    async def reactor_image(
+        source_image: str = Body("",title="Source Face Image"),
+        target_image: str = Body("",title="Target Image"),
+        source_faces_index: list[int] = Body([0],title="Comma separated face number(s) from swap-source image"),
+        face_index: list[int] = Body([0],title="Comma separated face number(s) for target image (result)"),
+        upscaler: str = Body("None",title="Upscaler"),
+        scale: int = Body(1,title="Scale by"),
+        upscale_visibility: float = Body(1,title="Upscaler visibility (if scale = 1)"),
+        face_restorer: str = Body("None",title="Restore Face: 0 - None; 1 - CodeFormer; 2 - GFPGA"),
+        restorer_visibility: float = Body(1,title="Restore visibility value"),
+        restore_first: int = Body(1,title="Restore face -> Then upscale, 1 - True, 0 - False"),
+        model: str = Body("inswapper_128.onnx",title="Model"),
+        gender_source: int = Body(0,title="Gender Detection (Source) (0 - No, 1 - Female Only, 2 - Male Only)"),
+        gender_target: int = Body(0,title="Gender Detection (Target) (0 - No, 1 - Female Only, 2 - Male Only)"),
+        save_to_file: int = Body(0,title="Save Result to file, 0 - No, 1 - Yes"),
+        result_file_path: str = Body("",title="(if 'save_to_file = 1') Result file path")
+    ):
+        s_image = api.decode_base64_to_image(source_image)
+        t_image = api.decode_base64_to_image(target_image)
+        sf_index = source_faces_index
+        f_index = face_index
+        gender_s = gender_source
+        gender_t = gender_target
+        restore_first_bool = True if restore_first == 1 else False
+        up_options = EnhancementOptions(do_restore_first=restore_first_bool, scale=scale, upscaler=get_upscaler(upscaler), upscale_visibility=upscale_visibility,face_restorer=get_face_restorer(face_restorer),restorer_visibility=restorer_visibility)
+        use_model = get_full_model(model)
+        if use_model is None:
+            Exception("Model not found")
+        result = swap_face(s_image, t_image, use_model, sf_index, f_index, up_options, gender_s, gender_t)
+        if save_to_file == 1:
+            if result_file_path == "":
+                result_file_path = default_file_path()
+            try:
+                result[0].save(result_file_path, format='PNG')
+                logger.info("Result has been saved to: %s", result_file_path)
+            except Exception as e:
+                logger.error("Error while saving result: %s",e)
+        return {"image": api.encode_pil_to_base64(result[0])}
+
+    @app.get("/reactor/models")
+    async def reactor_models():
+        model_names = [os.path.split(model)[1] for model in get_models()]
+        return {"models": model_names}
+    
+    @app.get("/reactor/upscalers")
+    async def reactor_upscalers():
+        names = [upscaler.name for upscaler in shared.sd_upscalers]
+        return {"upscalers": names}
+
+try:
+    import modules.script_callbacks as script_callbacks
+
+    script_callbacks.on_app_started(reactor_api)
+except:
+    pass

extensions-builtin/sd-webui-reactor/scripts/reactor_faceswap.py

@@ -0,0 +1,384 @@
+import os, glob
+import gradio as gr
+from PIL import Image
+
+from typing import List
+
+import modules.scripts as scripts
+from modules.upscaler import Upscaler, UpscalerData
+from modules import scripts, shared, images, scripts_postprocessing
+from modules.processing import (
+    Processed,
+    StableDiffusionProcessing,
+    StableDiffusionProcessingImg2Img,
+)
+from modules.face_restoration import FaceRestoration
+from modules.paths_internal import models_path
+from modules.images import save_image
+
+from scripts.reactor_logger import logger
+from scripts.reactor_swapper import EnhancementOptions, swap_face, check_process_halt, reset_messaged
+from scripts.reactor_version import version_flag, app_title
+from scripts.console_log_patch import apply_logging_patch
+from scripts.reactor_helpers import make_grid, get_image_path
+
+
+MODELS_PATH = None
+
+def get_models():
+    global MODELS_PATH
+    models_path_init = os.path.join(models_path, "insightface/*")
+    models = glob.glob(models_path_init)
+    models = [x for x in models if x.endswith(".onnx") or x.endswith(".pth")]
+    models_names = []
+    for model in models:
+        model_path = os.path.split(model)
+        if MODELS_PATH is None:
+            MODELS_PATH = model_path[0]
+        model_name = model_path[1]
+        models_names.append(model_name)
+    return models_names
+
+
+class FaceSwapScript(scripts.Script):
+    def title(self):
+        return f"{app_title}"
+
+    def show(self, is_img2img):
+        return scripts.AlwaysVisible
+
+    def ui(self, is_img2img):
+        with gr.Accordion(f"{app_title}", open=False):
+            with gr.Tab("Main"):
+                with gr.Column():
+                    img = gr.Image(type="pil")
+                    enable = gr.Checkbox(False, label="Enable", info=f"The Fast and Simple FaceSwap Extension - {version_flag}")
+                    save_original = gr.Checkbox(False, label="Save Original", info="Save the original image(s) made before swapping; If you use \"img2img\" - this option will affect with \"Swap in generated\" only")
+                    gr.Markdown("<br>")
+                    gr.Markdown("Source Image (above):")
+                    with gr.Row():
+                        source_faces_index = gr.Textbox(
+                            value="0",
+                            placeholder="Which face(s) to use as Source (comma separated)",
+                            label="Comma separated face number(s); Example: 0,2,1",
+                        )
+                        gender_source = gr.Radio(
+                            ["No", "Female Only", "Male Only"],
+                            value="No",
+                            label="Gender Detection (Source)",
+                            type="index",
+                        )
+                    gr.Markdown("<br>")
+                    gr.Markdown("Target Image (result):")
+                    with gr.Row():
+                        faces_index = gr.Textbox(
+                            value="0",
+                            placeholder="Which face(s) to Swap into Target (comma separated)",
+                            label="Comma separated face number(s); Example: 1,0,2",
+                        )
+                        gender_target = gr.Radio(
+                            ["No", "Female Only", "Male Only"],
+                            value="No",
+                            label="Gender Detection (Target)",
+                            type="index",
+                        )
+                    gr.Markdown("<br>")
+                    with gr.Row():
+                        face_restorer_name = gr.Radio(
+                            label="Restore Face",
+                            choices=["None"] + [x.name() for x in shared.face_restorers],
+                            value=shared.face_restorers[0].name(),
+                            type="value",
+                        )
+                        face_restorer_visibility = gr.Slider(
+                            0, 1, 1, step=0.1, label="Restore Face Visibility"
+                        )
+                    gr.Markdown("<br>")
+                    swap_in_source = gr.Checkbox(
+                        False,
+                        label="Swap in source image",
+                        visible=is_img2img,
+                    )
+                    swap_in_generated = gr.Checkbox(
+                        True,
+                        label="Swap in generated image",
+                        visible=is_img2img,
+                    )                    
+            with gr.Tab("Upscale"):
+                restore_first = gr.Checkbox(
+                    True,
+                    label="1. Restore Face -> 2. Upscale (-Uncheck- if you want vice versa)",
+                    info="Postprocessing Order"
+                )
+                upscaler_name = gr.Dropdown(
+                    choices=[upscaler.name for upscaler in shared.sd_upscalers],
+                    label="Upscaler",
+                    value="None",
+                    info="Won't scale if you choose -Swap in Source- via img2img, only 1x-postprocessing will affect (texturing, denoising, restyling etc.)"
+                )
+                gr.Markdown("<br>")
+                with gr.Row():
+                    upscaler_scale = gr.Slider(1, 8, 1, step=0.1, label="Scale by")
+                    upscaler_visibility = gr.Slider(
+                        0, 1, 1, step=0.1, label="Upscaler Visibility (if scale = 1)"
+                    )
+            with gr.Tab("Settings"):
+                models = get_models()
+                with gr.Row():
+                    if len(models) == 0:
+                        logger.warning(
+                            "You should at least have one model in models directory, please read the doc here : https://github.com/Gourieff/sd-webui-reactor/"
+                        )
+                        model = gr.Dropdown(
+                            choices=models,
+                            label="Model not found, please download one and reload WebUI",
+                        )
+                    else:
+                        model = gr.Dropdown(
+                            choices=models, label="Model", value=models[0]
+                        )
+                    console_logging_level = gr.Radio(
+                        ["No log", "Minimum", "Default"],
+                        value="Minimum",
+                        label="Console Log Level",
+                        type="index",
+                    )
+
+        return [
+            img,
+            enable,
+            source_faces_index,
+            faces_index,
+            model,
+            face_restorer_name,
+            face_restorer_visibility,
+            restore_first,
+            upscaler_name,
+            upscaler_scale,
+            upscaler_visibility,
+            swap_in_source,
+            swap_in_generated,
+            console_logging_level,
+            gender_source,
+            gender_target,
+            save_original,
+        ]
+
+
+    @property
+    def upscaler(self) -> UpscalerData:
+        for upscaler in shared.sd_upscalers:
+            if upscaler.name == self.upscaler_name:
+                return upscaler
+        return None
+
+    @property
+    def face_restorer(self) -> FaceRestoration:
+        for face_restorer in shared.face_restorers:
+            if face_restorer.name() == self.face_restorer_name:
+                return face_restorer
+        return None
+
+    @property
+    def enhancement_options(self) -> EnhancementOptions:
+        return EnhancementOptions(
+            do_restore_first = self.restore_first,
+            scale=self.upscaler_scale,
+            upscaler=self.upscaler,
+            face_restorer=self.face_restorer,
+            upscale_visibility=self.upscaler_visibility,
+            restorer_visibility=self.face_restorer_visibility,
+        )
+
+    def process(
+        self,
+        p: StableDiffusionProcessing,
+        img,
+        enable,
+        source_faces_index,
+        faces_index,
+        model,
+        face_restorer_name,
+        face_restorer_visibility,
+        restore_first,
+        upscaler_name,
+        upscaler_scale,
+        upscaler_visibility,
+        swap_in_source,
+        swap_in_generated,
+        console_logging_level,
+        gender_source,
+        gender_target,
+        save_original,
+    ):
+        self.enable = enable
+        if self.enable:
+
+            reset_messaged()
+            if check_process_halt():
+                return
+            
+            global MODELS_PATH
+            self.source = img
+            self.face_restorer_name = face_restorer_name
+            self.upscaler_scale = upscaler_scale
+            self.upscaler_visibility = upscaler_visibility
+            self.face_restorer_visibility = face_restorer_visibility
+            self.restore_first = restore_first
+            self.upscaler_name = upscaler_name       
+            self.swap_in_generated = swap_in_generated
+            self.model = os.path.join(MODELS_PATH,model)
+            self.console_logging_level = console_logging_level
+            self.gender_source = gender_source
+            self.gender_target = gender_target
+            self.save_original = save_original
+            if self.gender_source is None or self.gender_source == "No":
+                self.gender_source = 0
+            if self.gender_target is None or self.gender_target == "No":
+                self.gender_target = 0
+            self.source_faces_index = [
+                int(x) for x in source_faces_index.strip(",").split(",") if x.isnumeric()
+            ]
+            self.faces_index = [
+                int(x) for x in faces_index.strip(",").split(",") if x.isnumeric()
+            ]
+            if len(self.source_faces_index) == 0:
+                self.source_faces_index = [0]
+            if len(self.faces_index) == 0:
+                self.faces_index = [0]
+            if self.save_original is None:
+                self.save_original = False
+
+            if self.source is not None:
+                apply_logging_patch(console_logging_level)
+                if isinstance(p, StableDiffusionProcessingImg2Img) and swap_in_source:
+                    logger.info("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
+
+                    for i in range(len(p.init_images)):
+                        if len(p.init_images) > 1:
+                            logger.info("Swap in %s", i)
+                        result, output, swapped = swap_face(
+                            self.source,
+                            p.init_images[i],
+                            source_faces_index=self.source_faces_index,
+                            faces_index=self.faces_index,
+                            model=self.model,
+                            enhancement_options=self.enhancement_options,
+                            gender_source=self.gender_source,
+                            gender_target=self.gender_target,
+                        )
+                        p.init_images[i] = result
+                        # result_path = get_image_path(p.init_images[i], p.outpath_samples, "", p.all_seeds[i], p.all_prompts[i], "txt", p=p, suffix="-swapped")
+                        # if len(output) != 0:
+                        #     with open(result_path, 'w', encoding="utf8") as f:
+                        #         f.writelines(output)
+
+                        if shared.state.interrupted or shared.state.skipped:
+                            return
+            
+            else:
+                logger.error("Please provide a source face")
+
+    def postprocess(self, p: StableDiffusionProcessing, processed: Processed, *args):
+        if self.enable:
+
+            reset_messaged()
+            if check_process_halt():
+                return
+
+            if self.save_original:
+
+                postprocess_run: bool = True
+
+                orig_images : List[Image.Image] = processed.images[processed.index_of_first_image:]
+                orig_infotexts : List[str] = processed.infotexts[processed.index_of_first_image:]
+
+                result_images: List = processed.images
+                # result_info: List = processed.infotexts
+
+                if self.swap_in_generated:
+                    logger.info("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
+                    if self.source is not None:
+                        for i,(img,info) in enumerate(zip(orig_images, orig_infotexts)):
+                            if check_process_halt():
+                                postprocess_run = False
+                                break
+                            if len(orig_images) > 1:
+                                logger.info("Swap in %s", i)
+                            result, output, swapped = swap_face(
+                                self.source,
+                                img,
+                                source_faces_index=self.source_faces_index,
+                                faces_index=self.faces_index,
+                                model=self.model,
+                                enhancement_options=self.enhancement_options,
+                                gender_source=self.gender_source,
+                                gender_target=self.gender_target,
+                            )
+                            if result is not None and swapped > 0:
+                                result_images.append(result)
+                                suffix = "-swapped"
+                                try:
+                                    img_path = save_image(result, p.outpath_samples, "", p.all_seeds[0], p.all_prompts[0], "png",info=info, p=p, suffix=suffix)
+                                except:
+                                    logger.error("Cannot save a result image - please, check SD WebUI Settings (Saving and Paths)")
+                            elif result is None:
+                                logger.error("Cannot create a result image")
+                            
+                            # if len(output) != 0:
+                            #     split_fullfn = os.path.splitext(img_path[0])
+                            #     fullfn = split_fullfn[0] + ".txt"
+                            #     with open(fullfn, 'w', encoding="utf8") as f:
+                            #         f.writelines(output)
+                
+                if shared.opts.return_grid and len(result_images) > 2 and postprocess_run:
+                    grid = make_grid(result_images)
+                    result_images.insert(0, grid)
+                    try:
+                        save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], shared.opts.grid_format, info=info, short_filename=not shared.opts.grid_extended_filename, p=p, grid=True)
+                    except:
+                        logger.error("Cannot save a grid - please, check SD WebUI Settings (Saving and Paths)")
+                
+                processed.images = result_images
+                # processed.infotexts = result_info
+    
+    def postprocess_batch(self, p, *args, **kwargs):
+        if self.enable and not self.save_original:
+            images = kwargs["images"]
+
+    def postprocess_image(self, p, script_pp: scripts.PostprocessImageArgs, *args):
+        if self.enable and self.swap_in_generated and not self.save_original:
+
+            current_job_number = shared.state.job_no + 1
+            job_count = shared.state.job_count
+            if current_job_number == job_count:
+                reset_messaged()
+            if check_process_halt():
+                return
+            
+            if self.source is not None:
+                logger.info("Working: source face index %s, target face index %s", self.source_faces_index, self.faces_index)
+                image: Image.Image = script_pp.image
+                result, output, swapped = swap_face(
+                    self.source,
+                    image,
+                    source_faces_index=self.source_faces_index,
+                    faces_index=self.faces_index,
+                    model=self.model,
+                    enhancement_options=self.enhancement_options,
+                    gender_source=self.gender_source,
+                    gender_target=self.gender_target,
+                )
+                try:
+                    pp = scripts_postprocessing.PostprocessedImage(result)
+                    pp.info = {}
+                    p.extra_generation_params.update(pp.info)
+                    script_pp.image = pp.image
+
+                    # if len(output) != 0:
+                    #     result_path = get_image_path(script_pp.image, p.outpath_samples, "", p.all_seeds[0], p.all_prompts[0], "txt", p=p, suffix="-swapped")
+                    #     if len(output) != 0:
+                    #         with open(result_path, 'w', encoding="utf8") as f:
+                    #             f.writelines(output)
+                except:
+                    logger.error("Cannot create a result image")

extensions-builtin/sd-webui-reactor/scripts/reactor_globals.py

@@ -0,0 +1 @@
+IS_RUN: bool = False

extensions-builtin/sd-webui-reactor/scripts/reactor_helpers.py

@@ -0,0 +1,102 @@
+import os
+from collections import Counter
+from PIL import Image
+from math import isqrt, ceil
+from typing import List
+
+from modules.images import FilenameGenerator, get_next_sequence_number
+from modules import shared, script_callbacks
+
+def make_grid(image_list: List):
+    
+    # Count the occurrences of each image size in the image_list
+    size_counter = Counter(image.size for image in image_list)
+    
+    # Get the most common image size (size with the highest count)
+    common_size = size_counter.most_common(1)[0][0]
+    
+    # Filter the image_list to include only images with the common size
+    image_list = [image for image in image_list if image.size == common_size]
+    
+    # Get the dimensions (width and height) of the common size
+    size = common_size
+    
+    # If there are more than one image in the image_list
+    if len(image_list) > 1:
+        num_images = len(image_list)
+        
+        # Calculate the number of rows and columns for the grid
+        rows = isqrt(num_images)
+        cols = ceil(num_images / rows)
+
+        # Calculate the size of the square image
+        square_size = (cols * size[0], rows * size[1])
+
+        # Create a new RGB image with the square size
+        square_image = Image.new("RGB", square_size)
+
+        # Paste each image onto the square image at the appropriate position
+        for i, image in enumerate(image_list):
+            row = i // cols
+            col = i % cols
+
+            square_image.paste(image, (col * size[0], row * size[1]))
+
+        # Return the resulting square image
+        return square_image
+    
+    # Return None if there are no images or only one image in the image_list
+    return None
+
+def get_image_path(image, path, basename, seed=None, prompt=None, extension='png', p=None, suffix=""):
+    
+    namegen = FilenameGenerator(p, seed, prompt, image)
+
+    save_to_dirs = shared.opts.save_to_dirs
+
+    if save_to_dirs:
+        dirname = namegen.apply(shared.opts.directories_filename_pattern or "[prompt_words]").lstrip(' ').rstrip('\\ /')
+        path = os.path.join(path, dirname)
+
+    os.makedirs(path, exist_ok=True)
+
+    if seed is None:
+        file_decoration = ""
+    elif shared.opts.save_to_dirs:
+        file_decoration = shared.opts.samples_filename_pattern or "[seed]"
+    else:
+        file_decoration = shared.opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
+
+    file_decoration = namegen.apply(file_decoration) + suffix
+
+    add_number = shared.opts.save_images_add_number or file_decoration == ''
+
+    if file_decoration != "" and add_number:
+        file_decoration = f"-{file_decoration}"
+
+    if add_number:
+        basecount = get_next_sequence_number(path, basename)
+        fullfn = None
+        for i in range(500):
+            fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
+            fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
+            if not os.path.exists(fullfn):
+                break
+    else:
+        fullfn = os.path.join(path, f"{file_decoration}.{extension}")
+
+    pnginfo = {}
+
+    params = script_callbacks.ImageSaveParams(image, p, fullfn, pnginfo)
+    # script_callbacks.before_image_saved_callback(params)
+
+    fullfn = params.filename
+
+    fullfn_without_extension, extension = os.path.splitext(params.filename)
+    if hasattr(os, 'statvfs'):
+        max_name_len = os.statvfs(path).f_namemax
+        fullfn_without_extension = fullfn_without_extension[:max_name_len - max(4, len(extension))]
+        params.filename = fullfn_without_extension + extension
+        fullfn = params.filename
+
+    return fullfn

extensions-builtin/sd-webui-reactor/scripts/reactor_logger.py

@@ -0,0 +1,54 @@
+import logging
+import copy
+import sys
+
+from modules import shared
+from scripts.reactor_globals import IS_RUN
+
+
+class ColoredFormatter(logging.Formatter):
+    COLORS = {
+        "DEBUG": "\033[0;36m",  # CYAN
+        "STATUS": "\033[38;5;173m",  # Calm ORANGE
+        "INFO": "\033[0;32m",  # GREEN
+        "WARNING": "\033[0;33m",  # YELLOW
+        "ERROR": "\033[0;31m",  # RED
+        "CRITICAL": "\033[0;37;41m",  # WHITE ON RED
+        "RESET": "\033[0m",  # RESET COLOR
+    }
+
+    def format(self, record):
+        colored_record = copy.copy(record)
+        levelname = colored_record.levelname
+        seq = self.COLORS.get(levelname, self.COLORS["RESET"])
+        colored_record.levelname = f"{seq}{levelname}{self.COLORS['RESET']}"
+        return super().format(colored_record)
+
+
+# Create a new logger
+logger = logging.getLogger("ReActor")
+logger.propagate = False
+
+# Custom Level name
+logging.addLevelName(logging.INFO, "STATUS")
+
+# Add handler if we don't have one.
+if not logger.handlers:
+    handler = logging.StreamHandler(sys.stdout)
+    handler.setFormatter(
+        ColoredFormatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s","%H:%M:%S")
+    )
+    logger.addHandler(handler)
+
+# Configure logger
+loglevel_string = getattr(shared.cmd_opts, "reactor_loglevel", "INFO")
+loglevel = getattr(logging, loglevel_string.upper(), "info")
+logger.setLevel(loglevel)
+
+def set_Run(value):
+    global IS_RUN
+    IS_RUN = value
+
+def get_Run():
+    global IS_RUN
+    return IS_RUN

extensions-builtin/sd-webui-reactor/scripts/reactor_swapper.py

@@ -0,0 +1,358 @@
+import copy
+import os
+from dataclasses import dataclass
+from typing import List, Union
+
+import cv2
+import numpy as np
+from PIL import Image
+
+import insightface
+
+from modules.face_restoration import FaceRestoration
+from modules.upscaler import UpscalerData
+from modules.shared import state
+from modules.paths_internal import models_path
+from scripts.reactor_logger import logger
+
+import warnings
+
+np.warnings = warnings
+np.warnings.filterwarnings('ignore')
+
+providers = ["CPUExecutionProvider"]
+
+
+@dataclass
+class EnhancementOptions:
+    do_restore_first: bool = True
+    scale: int = 1
+    upscaler: UpscalerData = None
+    upscale_visibility: float = 0.5
+    face_restorer: FaceRestoration = None
+    restorer_visibility: float = 0.5
+
+
+MESSAGED_STOPPED = False
+MESSAGED_SKIPPED = False
+
+def reset_messaged():
+    global MESSAGED_STOPPED, MESSAGED_SKIPPED
+    if not state.interrupted:
+        MESSAGED_STOPPED = False
+    if not state.skipped:
+        MESSAGED_SKIPPED = False
+
+def check_process_halt(msgforced: bool = False):
+    global MESSAGED_STOPPED, MESSAGED_SKIPPED
+    if state.interrupted:
+        if not MESSAGED_STOPPED or msgforced:
+            logger.info("Stopped by User")
+            MESSAGED_STOPPED = True
+        return True
+    if state.skipped:
+        if not MESSAGED_SKIPPED or msgforced:
+            logger.info("Skipped by User")
+            MESSAGED_SKIPPED = True
+        return True
+    return False
+
+
+FS_MODEL = None
+CURRENT_FS_MODEL_PATH = None
+
+ANALYSIS_MODEL = None
+
+
+def getAnalysisModel():
+    global ANALYSIS_MODEL
+    if ANALYSIS_MODEL is None:
+        ANALYSIS_MODEL = insightface.app.FaceAnalysis(
+            name="buffalo_l", providers=providers, root=os.path.join(models_path, "insightface") # note: allowed_modules=['detection', 'genderage']
+        )
+    return ANALYSIS_MODEL
+
+
+def getFaceSwapModel(model_path: str):
+    global FS_MODEL
+    global CURRENT_FS_MODEL_PATH
+    if CURRENT_FS_MODEL_PATH is None or CURRENT_FS_MODEL_PATH != model_path:
+        CURRENT_FS_MODEL_PATH = model_path
+        FS_MODEL = insightface.model_zoo.get_model(model_path, providers=providers)
+
+    return FS_MODEL
+
+
+def restore_face(image: Image, enhancement_options: EnhancementOptions):
+    result_image = image
+
+    if check_process_halt(msgforced=True):
+        return result_image
+    
+    if enhancement_options.face_restorer is not None:
+        original_image = result_image.copy()
+        logger.info("Restoring the face with %s", enhancement_options.face_restorer.name())
+        numpy_image = np.array(result_image)
+        numpy_image = enhancement_options.face_restorer.restore(numpy_image)
+        restored_image = Image.fromarray(numpy_image)
+        result_image = Image.blend(
+            original_image, restored_image, enhancement_options.restorer_visibility
+        )
+    
+    return result_image
+
+def upscale_image(image: Image, enhancement_options: EnhancementOptions):
+    result_image = image
+
+    if check_process_halt(msgforced=True):
+        return result_image
+    
+    if enhancement_options.upscaler is not None and enhancement_options.upscaler.name != "None":
+        original_image = result_image.copy()
+        logger.info(
+            "Upscaling with %s scale = %s",
+            enhancement_options.upscaler.name,
+            enhancement_options.scale,
+        )
+        result_image = enhancement_options.upscaler.scaler.upscale(
+            original_image, enhancement_options.scale, enhancement_options.upscaler.data_path
+        )
+        if enhancement_options.scale == 1:
+            result_image = Image.blend(
+                original_image, result_image, enhancement_options.upscale_visibility
+            )
+    
+    return result_image
+
+def enhance_image(image: Image, enhancement_options: EnhancementOptions):
+    result_image = image
+    
+    if check_process_halt(msgforced=True):
+        return result_image
+    
+    if enhancement_options.do_restore_first:
+        
+        result_image = restore_face(result_image, enhancement_options)
+        result_image = upscale_image(result_image, enhancement_options)
+
+    else:
+
+        result_image = upscale_image(result_image, enhancement_options)
+        result_image = restore_face(result_image, enhancement_options)
+
+    return result_image
+
+def get_gender(face, face_index):
+    gender = [
+        x.sex
+        for x in face
+    ]
+    gender.reverse()
+    try:
+        face_gender = gender[face_index]
+    except:
+        logger.error("Gender Detection: No face with index = %s was found", face_index)
+        return "None"
+    return face_gender
+
+def get_face_gender(
+        face,
+        face_index,
+        gender_condition,
+        operated: str,
+        gender_detected,
+):
+    face_gender = gender_detected
+    if face_gender == "None":
+        return None, 0
+    logger.info("%s Face %s: Detected Gender -%s-", operated, face_index, face_gender)
+    if (gender_condition == 1 and face_gender == "F") or (gender_condition == 2 and face_gender == "M"):
+        logger.info("OK - Detected Gender matches Condition")
+        try:
+            return sorted(face, key=lambda x: x.bbox[0])[face_index], 0
+        except IndexError:
+            return None, 0
+    else:
+        logger.info("WRONG - Detected Gender doesn't match Condition")
+        return sorted(face, key=lambda x: x.bbox[0])[face_index], 1
+
+def get_face_age(face, face_index):
+    age = [
+        x.age
+        for x in face
+    ]
+    age.reverse()
+    try:
+        face_age = age[face_index]
+    except:
+        logger.error("Age Detection: No face with index = %s was found", face_index)
+        return "None"
+    return face_age
+
+def reget_face_single(img_data, det_size, face_index, gender_source, gender_target):
+    det_size_half = (det_size[0] // 2, det_size[1] // 2)
+    return get_face_single(img_data, face_index=face_index, det_size=det_size_half, gender_source=gender_source, gender_target=gender_target)
+
+
+def get_face_single(img_data: np.ndarray, face_index=0, det_size=(640, 640), gender_source=0, gender_target=0):
+    face_analyser = copy.deepcopy(getAnalysisModel())
+    face_analyser.prepare(ctx_id=0, det_size=det_size)
+    face = face_analyser.get(img_data)
+
+    buffalo_path = os.path.join(models_path, "insightface/models/buffalo_l.zip")
+    if os.path.exists(buffalo_path):
+        os.remove(buffalo_path)
+
+    face_age = "None"
+    try:
+        face_age = get_face_age(face, face_index)
+    except:
+        logger.error("Cannot detect any Age for Face index = %s", face_index)
+    
+    face_gender = "None"
+    try:
+        face_gender = get_gender(face, face_index)
+        gender_detected = face_gender
+        face_gender = "Female" if face_gender == "F" else ("Male" if face_gender == "M" else "None")
+    except:
+        logger.error("Cannot detect any Gender for Face index = %s", face_index)
+    
+    if gender_source != 0:
+        if len(face) == 0 and det_size[0] > 320 and det_size[1] > 320:
+            return reget_face_single(img_data, det_size, face_index, gender_source, gender_target)
+        faces, wrong_gender = get_face_gender(face,face_index,gender_source,"Source",gender_detected)
+        return faces, wrong_gender, face_age, face_gender
+
+    if gender_target != 0:
+        if len(face) == 0 and det_size[0] > 320 and det_size[1] > 320:
+            return reget_face_single(img_data, det_size, face_index, gender_source, gender_target)
+        faces, wrong_gender = get_face_gender(face,face_index,gender_target,"Target",gender_detected)
+        return faces, wrong_gender, face_age, face_gender
+    
+    if len(face) == 0 and det_size[0] > 320 and det_size[1] > 320:
+        return reget_face_single(img_data, det_size, face_index, gender_source, gender_target)
+
+    try:
+        return sorted(face, key=lambda x: x.bbox[0])[face_index], 0, face_age, face_gender
+    except IndexError:
+        return None, 0, face_age, face_gender
+
+
+def swap_face(
+    source_img: Image.Image,
+    target_img: Image.Image,
+    model: Union[str, None] = None,
+    source_faces_index: List[int] = [0],
+    faces_index: List[int] = [0],
+    enhancement_options: Union[EnhancementOptions, None] = None,
+    gender_source: int = 0,
+    gender_target: int = 0,
+):
+    result_image = target_img
+    
+    if check_process_halt():
+        return result_image
+    
+    if model is not None:
+
+        if isinstance(source_img, str):  # source_img is a base64 string
+            import base64, io
+            if 'base64,' in source_img:  # check if the base64 string has a data URL scheme
+                # split the base64 string to get the actual base64 encoded image data
+                base64_data = source_img.split('base64,')[-1]
+                # decode base64 string to bytes
+                img_bytes = base64.b64decode(base64_data)
+            else:
+                # if no data URL scheme, just decode
+                img_bytes = base64.b64decode(source_img)
+            
+            source_img = Image.open(io.BytesIO(img_bytes))
+            
+        source_img = cv2.cvtColor(np.array(source_img), cv2.COLOR_RGB2BGR)
+        target_img = cv2.cvtColor(np.array(target_img), cv2.COLOR_RGB2BGR)
+
+        output: List = []
+        output_info: str = ""
+        swapped = 0
+
+        logger.info("Detecting Source Face, Index = %s", source_faces_index[0])        
+        source_face, wrong_gender, source_age, source_gender = get_face_single(source_img, face_index=source_faces_index[0], gender_source=gender_source)
+        if source_age != "None" or source_gender != "None":
+            logger.info("Detected: -%s- y.o. %s", source_age, source_gender)
+
+        output_info = f"SourceFaceIndex={source_faces_index[0]};Age={source_age};Gender={source_gender}\n"
+        output.append(output_info)
+
+        if len(source_faces_index) != 0 and len(source_faces_index) != 1 and len(source_faces_index) != len(faces_index):
+            logger.info("Source Faces must have no entries (default=0), one entry, or same number of entries as target faces.")
+        elif source_face is not None:
+         
+            result = target_img
+            face_swapper = getFaceSwapModel(model)
+
+            source_face_idx = 0
+
+            for face_num in faces_index:
+                if len(source_faces_index) > 1 and source_face_idx > 0:
+
+                    logger.info("Detecting Source Face, Index = %s", source_faces_index[source_face_idx])
+                    source_face, wrong_gender, source_age, source_gender = get_face_single(source_img, face_index=source_faces_index[source_face_idx], gender_source=gender_source)
+                    if source_age != "None" or source_gender != "None":
+                        logger.info("Detected: -%s- y.o. %s", source_age, source_gender)
+
+                    output_info = f"SourceFaceIndex={source_faces_index[source_face_idx]};Age={source_age};Gender={source_gender}\n"
+                    output.append(output_info)
+
+                source_face_idx += 1
+
+                if source_face is not None and wrong_gender == 0:
+                    logger.info("Detecting Target Face, Index = %s", face_num)
+                    target_face, wrong_gender, target_age, target_gender = get_face_single(target_img, face_index=face_num, gender_target=gender_target)
+                    if target_age != "None" or target_gender != "None":
+                        logger.info("Detected: -%s- y.o. %s", target_age, target_gender)
+
+                    output_info = f"TargetFaceIndex={face_num};Age={target_age};Gender={target_gender}\n"
+                    output.append(output_info)
+                    
+                    if target_face is not None and wrong_gender == 0:
+                        logger.info("Swapping Source into Target")
+                        result = face_swapper.get(result, target_face, source_face)
+                        swapped += 1
+                    
+                    elif wrong_gender == 1:
+                        wrong_gender = 0
+                        
+                        if source_face_idx == len(source_faces_index):
+                            result_image = Image.fromarray(cv2.cvtColor(result, cv2.COLOR_BGR2RGB))
+                            
+                            if enhancement_options is not None and len(source_faces_index) > 1:
+                                result_image = enhance_image(result_image, enhancement_options)
+                            
+                            return result_image, output, swapped
+                    
+                    else:
+                        logger.info(f"No target face found for {face_num}")
+                
+                elif wrong_gender == 1:
+                    wrong_gender = 0
+                    
+                    if source_face_idx == len(source_faces_index):
+                        result_image = Image.fromarray(cv2.cvtColor(result, cv2.COLOR_BGR2RGB))
+                        
+                        if enhancement_options is not None and len(source_faces_index) > 1:
+                            result_image = enhance_image(result_image, enhancement_options)
+                        
+                        return result_image, output, swapped
+                
+                else:
+                    logger.info(f"No source face found for face number {source_face_idx}.")
+
+            result_image = Image.fromarray(cv2.cvtColor(result, cv2.COLOR_BGR2RGB))
+            
+            if enhancement_options is not None and swapped > 0:
+                result_image = enhance_image(result_image, enhancement_options)
+
+        else:
+            logger.info("No source face(s) found")
+    
+    return result_image, output, swapped

extensions-builtin/sd-webui-reactor/scripts/reactor_version.py

@@ -0,0 +1,10 @@
+app_title = "ReActor"
+version_flag = "v0.4.2-b2"
+
+from scripts.reactor_logger import logger, get_Run, set_Run
+
+is_run = get_Run()
+
+if not is_run:
+    logger.info(f"Running {version_flag}")
+    set_Run(True)