optimization with mac

Hoping this would solve the mac issues, if you're a mac user, please report if there is an improvement
Update Quick Start section to v2.3c
2025-11-16 20:09:12 +08:00 · 2025-11-10 15:13:04 +08:00 · 2025-11-09 23:19:40 +08:00 · 2025-11-09 19:18:00 +08:00 · 2025-11-09 15:51:14 +07:00 · 2025-11-08 05:21:19 +08:00
32 changed files with 2993 additions and 838 deletions
@@ -9,37 +9,96 @@
 </p>

 <p align="center">
-  <img src="media/demo.gif" alt="Demo GIF">
-  <img src="media/avgpcperformancedemo.gif" alt="Performance Demo GIF">
+  <img src="media/demo.gif" alt="Demo GIF" width="800">
 </p>

+##  Disclaimer

-## Disclaimer
+This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.

-This software is intended as a productive contribution to the AI-generated media industry. It aims to assist artists with tasks like animating custom characters or using them as models for clothing, etc.
+We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required.

-We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to law and ethics. We may shut down the project or add watermarks if legally required.
+- Ethical Use: Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online.
+
+- Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.
+
+- Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output.
+
+- User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements.
+
+By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others.

 Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions.

+## Exclusive v2.3c Quick Start - Pre-built (Windows/Mac Silicon)

-## Quick Start - Download Prebuilt
-<div style="margin: 28px 0;">
-  <div style="margin-bottom: 20px;">
-    <a href="https://hacksider.gumroad.com/l/vccdmm" target="_blank">
-      <img src="https://github.com/user-attachments/assets/c702bb7d-d9c0-466a-9ad2-02849294e540" alt="Download Button 1" style="width: 280px; display: block;">
-    </a>
-  </div>
-  <div>
-    <a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac" target="_blank">
-      <img src="https://github.com/user-attachments/assets/9a302750-2d54-457d-bdc8-6ed7c6af0e1a" alt="Download Button 2" style="width: 280px; display: block;">
-    </a>
-  </div>
-</div>
+  <a href="https://deeplivecam.net/index.php/quickstart"> <img src="media/Download.png" width="285" height="77" />

+##### This is the fastest build you can get if you have a discrete NVIDIA or AMD GPU or Mac Silicon, And you'll receive special priority support.
+ 
+###### These Pre-builts are perfect for non-technical users or those who don't have time to, or can't manually install all the requirements. Just a heads-up: this is an open-source project, so you can also install it manually. 
+
+## TLDR; Live Deepfake in just 3 Clicks
+![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
+1. Select a face
+2. Select which camera to use
+3. Press live!
+
+## Features & Uses - Everything is in real-time
+
+### Mouth Mask
+
+**Retain your original mouth for accurate movement using Mouth Mask**
+
+<p align="center">
+  <img src="media/ludwig.gif" alt="resizable-gif">
+</p>
+
+### Face Mapping
+
+**Use different faces on multiple subjects simultaneously**
+
+<p align="center">
+  <img src="media/streamers.gif" alt="face_mapping_source">
+</p>
+
+### Your Movie, Your Face
+
+**Watch movies with any face in real-time**
+
+<p align="center">
+  <img src="media/movie.gif" alt="movie">
+</p>
+
+### Live Show
+
+**Run Live shows and performances**
+
+<p align="center">
+  <img src="media/live_show.gif" alt="show">
+</p>
+
+### Memes
+
+**Create Your Most Viral Meme Yet**
+
+<p align="center">
+  <img src="media/meme.gif" alt="show" width="450"> 
+  <br>
+  <sub>Created using Many Faces feature in Deep-Live-Cam</sub>
+</p>
+
+### Omegle
+
+**Surprise people on Omegle**
+
+<p align="center">
+  <video src="https://github.com/user-attachments/assets/2e9b9b82-fa04-4b70-9f56-b1f68e7672d0" width="450" controls></video>
+</p>

 ## Installation (Manual)
-**Please be aware that the installation needs technical skills and is not for beginners, consider downloading the prebuilt.**
+
+**Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the quickstart version.**

 <details>
 <summary>Click to see the process</summary>
@@ -48,24 +107,25 @@ Users are expected to use this software responsibly and legally. If using a real

 This is more likely to work on your computer but will be slower as it utilizes the CPU.

-**1. Setup Your Platform**
+**1. Set up Your Platform**

- Python (3.10 recommended)
- pip
- git
- [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) 
- [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
+-   Python (3.11 recommended)
+-   pip
+-   git
+-   [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)```
+-   [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)

-**2. Clone Repository**
+**2. Clone the Repository**

 ```bash
-https://github.com/hacksider/Deep-Live-Cam.git
+git clone https://github.com/hacksider/Deep-Live-Cam.git
+cd Deep-Live-Cam
 ```

-**3. Download Models**
+**3. Download the Models**

 1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth)
-2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128.onnx) (Note: Use this [replacement version](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx) if you encounter issues)
+2. [inswapper\_128\_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx)

 Place these files in the "**models**" folder.

@@ -73,54 +133,129 @@ Place these files in the "**models**" folder.

 We highly recommend using a `venv` to avoid issues.

+
+For Windows:
 ```bash
+python -m venv venv
+venv\Scripts\activate
+pip install -r requirements.txt
+```
+For Linux:
+```bash
+# Ensure you use the installed Python 3.10
+python3 -m venv venv
+source venv/bin/activate
 pip install -r requirements.txt
 ```

-**For macOS:** Install or upgrade the `python-tk` package:
+**For macOS:**
+
+Apple Silicon (M1/M2/M3) requires specific setup:

 ```bash
+# Install Python 3.11 (specific version is important)
+brew install python@3.11
+
+# Install tkinter package (required for the GUI)
 brew install python-tk@3.10
+
+# Create and activate virtual environment with Python 3.11
+python3.11 -m venv venv
+source venv/bin/activate
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+** In case something goes wrong and you need to reinstall the virtual environment **
+
+```bash
+# Deactivate the virtual environment
+rm -rf venv
+
+# Reinstall the virtual environment
+python -m venv venv
+source venv/bin/activate
+
+# install the dependencies again
+pip install -r requirements.txt
+
+# gfpgan and basicsrs issue fix
+pip install git+https://github.com/xinntao/BasicSR.git@master
+pip uninstall gfpgan -y
+pip install git+https://github.com/TencentARC/GFPGAN.git@master
 ```

 **Run:** If you don't have a GPU, you can run Deep-Live-Cam using `python run.py`. Note that initial execution will download models (~300MB).

-
-### GPU Acceleration 
+### GPU Acceleration

 **CUDA Execution Provider (Nvidia)**

-1. Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive) or [CUDA Toolkit 12.1.1](https://developer.nvidia.com/cuda-12-1-1-download-archive)
-2. Install dependencies:
+1. Install [CUDA Toolkit 12.8.0](https://developer.nvidia.com/cuda-12-8-0-download-archive)
+2. Install [cuDNN v8.9.7 for CUDA 12.x](https://developer.nvidia.com/rdp/cudnn-archive) (required for onnxruntime-gpu):
+   - Download cuDNN v8.9.7 for CUDA 12.x
+   - Make sure the cuDNN bin directory is in your system PATH
+3. Install dependencies:
+
 ```bash
+pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
 pip uninstall onnxruntime onnxruntime-gpu
-pip install onnxruntime-gpu==1.16.3
+pip install onnxruntime-gpu==1.21.0
 ```
+
 3. Usage:
+
 ```bash
 python run.py --execution-provider cuda
 ```

 **CoreML Execution Provider (Apple Silicon)**

-1. Install dependencies:
+Apple Silicon (M1/M2/M3) specific installation:
+
+1. Make sure you've completed the macOS setup above using Python 3.10.
+2. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-silicon
 pip install onnxruntime-silicon==1.13.1
 ```
-2. Usage:
+
+3. Usage (important: specify Python 3.10):
+
 ```bash
-python run.py --execution-provider coreml
+python3.10 run.py --execution-provider coreml
 ```

+**Important Notes for macOS:**
+- You **must** use Python 3.10, not newer versions like 3.11 or 3.13
+- Always run with `python3.10` command not just `python` if you have multiple Python versions installed
+- If you get error about `_tkinter` missing, reinstall the tkinter package: `brew reinstall python-tk@3.10`
+- If you get model loading errors, check that your models are in the correct folder
+- If you encounter conflicts with other Python versions, consider uninstalling them:
+  ```bash
+  # List all installed Python versions
+  brew list | grep python
+  
+  # Uninstall conflicting versions if needed
+  brew uninstall --ignore-dependencies python@3.11 python@3.13
+  
+  # Keep only Python 3.11
+  brew cleanup
+  ```
+
 **CoreML Execution Provider (Apple Legacy)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-coreml
-pip install onnxruntime-coreml==1.13.1
+pip install onnxruntime-coreml==1.21.0
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider coreml
 ```
@@ -128,11 +263,14 @@ python run.py --execution-provider coreml
 **DirectML Execution Provider (Windows)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-directml
-pip install onnxruntime-directml==1.15.1
+pip install onnxruntime-directml==1.21.0
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider directml
 ```
@@ -140,62 +278,36 @@ python run.py --execution-provider directml
 **OpenVINO™ Execution Provider (Intel)**

 1. Install dependencies:
+
 ```bash
 pip uninstall onnxruntime onnxruntime-openvino
-pip install onnxruntime-openvino==1.15.0
+pip install onnxruntime-openvino==1.21.0
 ```
+
 2. Usage:
+
 ```bash
 python run.py --execution-provider openvino
 ```
-
 </details>

-
 ## Usage

 **1. Image/Video Mode**

- Execute `python run.py`. 
- Choose a source face image and a target image/video.
- Click "Start".
- The output will be saved in a directory named after the target video.
+-   Execute `python run.py`.
+-   Choose a source face image and a target image/video.
+-   Click "Start".
+-   The output will be saved in a directory named after the target video.

 **2. Webcam Mode**

- Execute `python run.py`.
- Select a source face image.
- Click "Live".
- Wait for the preview to appear (10-30 seconds).
- Use a screen capture tool like OBS to stream.
- To change the face, select a new source image.
-
-## Features - Everything is realtime
-
-### Mouth Mask
-
-**Retain your original mouth using Mouth Mask** 
-
-![resizable-gif](media/ludwig.gif)
-
-### Face Mapping
-
-**Use different faces on multiple subjects**
-
-![face_mapping_source](media/streamers.gif)
-
-### Your Movie, Your Face
-
-**Watch movies with any face in realtime**
-
-![movie](media/movie.gif)
-
-
-## Benchmarks
-
-**Nearly 0% detection!**
-
-![bench](media/deepwarebench.gif)
+-   Execute `python run.py`.
+-   Select a source face image.
+-   Click "Live".
+-   Wait for the preview to appear (10-30 seconds).
+-   Use a screen capture tool like OBS to stream.
+-   To change the face, select a new source image.

 ## Command Line Arguments (Unmaintained)

@@ -212,7 +324,6 @@ options:
  --many-faces                                             process every face
  --map-faces                                              map source target faces
  --mouth-mask                                             mask the mouth region
-  --nsfw-filter                                            filter the NSFW image or video
  --video-encoder {libx264,libx265,libvpx-vp9}             adjust output video encoder
  --video-quality [0-51]                                   adjust output video quality
  --live-mirror                                            the live camera display as you see it in the front-facing camera frame
@@ -225,9 +336,9 @@ options:

 Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.

-
 ## Press
- **We are always open to criticism and ready to improve, that's why we didn't cherrypick anything.** 
+
+**We are always open to criticism and are ready to improve, that's why we didn't cherry-pick anything.**

 - [*"Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger"*](https://arstechnica.com/information-technology/2024/08/new-ai-tool-enables-real-time-face-swapping-on-webcams-raising-fraud-concerns/) - Ars Technica
 - [*"Thanks Deep Live Cam, shapeshifters are among us now"*](https://dataconomy.com/2024/08/15/what-is-deep-live-cam-github-deepfake/) - Dataconomy
@@ -241,26 +352,32 @@ Looking for a CLI mode? Using the -s/--source argument will make the run program
 - [*"This real-time webcam deepfake tool raises alarms about the future of identity theft"*](https://www.diyphotography.net/this-real-time-webcam-deepfake-tool-raises-alarms-about-the-future-of-identity-theft/) - DIYPhotography
 - [*"That's Crazy, Oh God. That's Fucking Freaky Dude... That's So Wild Dude"*](https://www.youtube.com/watch?time_continue=1074&v=py4Tc-Y8BcY) - SomeOrdinaryGamers
 - [*"Alright look look look, now look chat, we can do any face we want to look like chat"*](https://www.youtube.com/live/mFsCe7AIxq8?feature=shared&t=2686) - IShowSpeed
- 
+ - [*"They do a pretty good job matching poses, expression and even the lighting"*](https://www.youtube.com/watch?v=wnCghLjqv3s&t=551s) - TechLinked (LTT)
+ - [*"Als Sean Connery an der Redaktionskonferenz teilnahm"*](https://www.golem.de/news/deepfakes-als-sean-connery-an-der-redaktionskonferenz-teilnahm-2408-188172.html) - Golem.de (German)
+ - [*"What the F***! Why do I look like Vinny Jr? I look exactly like Vinny Jr!? No, this shit is crazy! Bro This is F*** Crazy! "*](https://youtu.be/JbUPRmXRUtE?t=3964) - IShowSpeed
+

 ## Credits

- [ffmpeg](https://ffmpeg.org/): for making video related operations easy
- [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
- [havok2-htwo](https://github.com/havok2-htwo) : for sharing the code for webcam
- [GosuDRM](https://github.com/GosuDRM) : for open version of roop
- [pereiraroland26](https://github.com/pereiraroland26) : Multiple faces support
- [vic4key](https://github.com/vic4key) : For supporting/contributing on this project
- [KRSHH](https://github.com/KRSHH) : For his contributions
- [kier007](https://github.com/kier007) : for improving the user experience
- and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
- Foot Note: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
- All the wonderful users who helped making this project go viral by starring the repo ❤️
+-   [ffmpeg](https://ffmpeg.org/): for making video-related operations easy
+-   [Henry](https://github.com/henryruhs): One of the major contributor in this repo
+-   [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models. Please be reminded that the [use of the model is for non-commercial research purposes only](https://github.com/deepinsight/insightface?tab=readme-ov-file#license).
+-   [havok2-htwo](https://github.com/havok2-htwo): for sharing the code for webcam
+-   [GosuDRM](https://github.com/GosuDRM): for the open version of roop
+-   [pereiraroland26](https://github.com/pereiraroland26): Multiple faces support
+-   [vic4key](https://github.com/vic4key): For supporting/contributing to this project
+-   [kier007](https://github.com/kier007): for improving the user experience
+-   [qitianai](https://github.com/qitianai): for multi-lingual support
+-   and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
+-   Footnote: Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
+-   All the wonderful users who helped make this project go viral by starring the repo ❤️

 [![Stargazers](https://reporoster.com/stars/hacksider/Deep-Live-Cam)](https://github.com/hacksider/Deep-Live-Cam/stargazers)

 ## Contributions
+
 ![Alt](https://repobeats.axiom.co/api/embed/fec8e29c45dfdb9c5916f3a7830e1249308d20e1.svg "Repobeats analytics image")
+
 ## Stars to the Moon 🚀

 <a href="https://star-history.com/#hacksider/deep-live-cam&Date">
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Quelle x Ziel Zuordnung",
+    "select a source image": "Wähle ein Quellbild",
+    "Preview": "Vorschau",
+    "select a target image or video": "Wähle ein Zielbild oder Video",
+    "save image output file": "Bildausgabedatei speichern",
+    "save video output file": "Videoausgabedatei speichern",
+    "select a target image": "Wähle ein Zielbild",
+    "source": "Quelle",
+    "Select a target": "Wähle ein Ziel",
+    "Select a face": "Wähle ein Gesicht",
+    "Keep audio": "Audio beibehalten",
+    "Face Enhancer": "Gesichtsverbesserung",
+    "Many faces": "Mehrere Gesichter",
+    "Show FPS": "FPS anzeigen",
+    "Keep fps": "FPS beibehalten",
+    "Keep frames": "Frames beibehalten",
+    "Fix Blueish Cam": "Bläuliche Kamera korrigieren",
+    "Mouth Mask": "Mundmaske",
+    "Show Mouth Mask Box": "Mundmaskenrahmen anzeigen",
+    "Start": "Starten",
+    "Live": "Live",
+    "Destroy": "Beenden",
+    "Map faces": "Gesichter zuordnen",
+    "Processing...": "Verarbeitung läuft...",
+    "Processing succeed!": "Verarbeitung erfolgreich!",
+    "Processing ignored!": "Verarbeitung ignoriert!",
+    "Failed to start camera": "Kamera konnte nicht gestartet werden",
+    "Please complete pop-up or close it.": "Bitte das Pop-up komplettieren oder schließen.",
+    "Getting unique faces": "Einzigartige Gesichter erfassen",
+    "Please select a source image first": "Bitte zuerst ein Quellbild auswählen",
+    "No faces found in target": "Keine Gesichter im Zielbild gefunden",
+    "Add": "Hinzufügen",
+    "Clear": "Löschen",
+    "Submit": "Absenden",
+    "Select source image": "Quellbild auswählen",
+    "Select target image": "Zielbild auswählen",
+    "Please provide mapping!": "Bitte eine Zuordnung angeben!",
+    "At least 1 source with target is required!": "Mindestens eine Quelle mit einem Ziel ist erforderlich!",
+    "At least 1 source with target is required!": "Mindestens eine Quelle mit einem Ziel ist erforderlich!",
+    "Face could not be detected in last upload!": "Im letzten Upload konnte kein Gesicht erkannt werden!",
+    "Select Camera:": "Kamera auswählen:",
+    "All mappings cleared!": "Alle Zuordnungen gelöscht!",
+    "Mappings successfully submitted!": "Zuordnungen erfolgreich übermittelt!",
+    "Source x Target Mapper is already open.": "Quell-zu-Ziel-Zuordnung ist bereits geöffnet."
+}
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Mapeador de fuente x destino",
+    "select a source image": "Seleccionar imagen fuente",
+    "Preview": "Vista previa",
+    "select a target image or video": "elegir un video o una imagen fuente",
+    "save image output file": "guardar imagen final",
+    "save video output file": "guardar video final",
+    "select a target image": "elegir una imagen objetiva",
+    "source": "fuente",
+    "Select a target": "Elegir un destino",
+    "Select a face": "Elegir una cara",
+    "Keep audio": "Mantener audio original",
+    "Face Enhancer": "Potenciador de caras",
+    "Many faces": "Varias caras",
+    "Show FPS": "Mostrar fps",
+    "Keep fps": "Mantener fps",
+    "Keep frames": "Mantener frames",
+    "Fix Blueish Cam": "Corregir tono azul de video",
+    "Mouth Mask": "Máscara de boca",
+    "Show Mouth Mask Box": "Mostrar área de la máscara de boca",
+    "Start": "Iniciar",
+    "Live": "En vivo",
+    "Destroy": "Borrar",
+    "Map faces": "Mapear caras",
+    "Processing...": "Procesando...",
+    "Processing succeed!": "¡Proceso terminado con éxito!",
+    "Processing ignored!": "¡Procesamiento omitido!",
+    "Failed to start camera": "No se pudo iniciar la cámara",
+    "Please complete pop-up or close it.": "Complete o cierre el pop-up",
+    "Getting unique faces": "Buscando caras únicas",
+    "Please select a source image first": "Primero, seleccione una imagen fuente",
+    "No faces found in target": "No se encontró una cara en el destino",
+    "Add": "Agregar",
+    "Clear": "Limpiar",
+    "Submit": "Enviar",
+    "Select source image": "Seleccionar imagen fuente",
+    "Select target image": "Seleccionar imagen destino",
+    "Please provide mapping!": "Por favor, proporcione un mapeo",
+    "At least 1 source with target is required!": "Se requiere al menos una fuente con un destino.",
+    "At least 1 source with target is required!": "Se requiere al menos una fuente con un destino.",
+    "Face could not be detected in last upload!": "¡No se pudo encontrar una cara en el último video o imagen!",
+    "Select Camera:": "Elegir cámara:",
+    "All mappings cleared!": "¡Todos los mapeos fueron borrados!",
+    "Mappings successfully submitted!": "Mapeos enviados con éxito!",
+    "Source x Target Mapper is already open.": "El mapeador de fuente x destino ya está abierto."
+}
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Source x Target Kartoitin",
+    "select an source image": "Valitse lähde kuva",
+    "Preview": "Esikatsele",
+    "select an target image or video": "Valitse kohde kuva tai video",
+    "save image output file": "tallenna kuva",
+    "save video output file": "tallenna video",
+    "select an target image": "Valitse kohde kuva",
+    "source": "lähde",
+    "Select a target": "Valitse kohde",
+    "Select a face": "Valitse kasvot",
+    "Keep audio": "Säilytä ääni",
+    "Face Enhancer": "Kasvojen Parantaja",
+    "Many faces": "Useampia kasvoja",
+    "Show FPS": "Näytä FPS",
+    "Keep fps": "Säilytä FPS",
+    "Keep frames": "Säilytä ruudut",
+    "Fix Blueish Cam": "Korjaa Sinertävä Kamera",
+    "Mouth Mask": "Suu Maski",
+    "Show Mouth Mask Box": "Näytä Suu Maski Laatiko",
+    "Start": "Aloita",
+    "Live": "Live",
+    "Destroy": "Tuhoa",
+    "Map faces": "Kartoita kasvot",
+    "Processing...": "Prosessoi...",
+    "Processing succeed!": "Prosessointi onnistui!",
+    "Processing ignored!": "Prosessointi lopetettu!",
+    "Failed to start camera": "Kameran käynnistäminen epäonnistui",
+    "Please complete pop-up or close it.": "Viimeistele tai sulje ponnahdusikkuna",
+    "Getting unique faces": "Hankitaan uniikkeja kasvoja",
+    "Please select a source image first": "Valitse ensin lähde kuva",
+    "No faces found in target": "Kasvoja ei löydetty kohteessa",
+    "Add": "Lisää",
+    "Clear": "Tyhjennä",
+    "Submit": "Lähetä",
+    "Select source image": "Valitse lähde kuva",
+    "Select target image": "Valitse kohde kuva",
+    "Please provide mapping!": "Tarjoa kartoitus!",
+    "Atleast 1 source with target is required!": "Vähintään 1 lähde kohteen kanssa on vaadittu!",
+    "At least 1 source with target is required!": "Vähintään 1 lähde kohteen kanssa on vaadittu!",
+    "Face could not be detected in last upload!": "Kasvoja ei voitu tunnistaa edellisessä latauksessa!",
+    "Select Camera:": "Valitse Kamera:",
+    "All mappings cleared!": "Kaikki kartoitukset tyhjennetty!",
+    "Mappings successfully submitted!": "Kartoitukset lähetety onnistuneesti!",
+    "Source x Target Mapper is already open.": "Lähde x Kohde Kartoittaja on jo auki."
+}
@@ -0,0 +1,45 @@
+{
+    "Source x Target Mapper": "Pemetaan Sumber x Target",
+    "select a source image": "Pilih gambar sumber",
+    "Preview": "Pratinjau",
+    "select a target image or video": "Pilih gambar atau video target",
+    "save image output file": "Simpan file keluaran gambar",
+    "save video output file": "Simpan file keluaran video",
+    "select a target image": "Pilih gambar target",
+    "source": "Sumber",
+    "Select a target": "Pilih target",
+    "Select a face": "Pilih wajah",
+    "Keep audio": "Pertahankan audio",
+    "Face Enhancer": "Peningkat wajah",
+    "Many faces": "Banyak wajah",
+    "Show FPS": "Tampilkan FPS",
+    "Keep fps": "Pertahankan FPS",
+    "Keep frames": "Pertahankan frame",
+    "Fix Blueish Cam": "Perbaiki kamera kebiruan",
+    "Mouth Mask": "Masker mulut",
+    "Show Mouth Mask Box": "Tampilkan kotak masker mulut",
+    "Start": "Mulai",
+    "Live": "Langsung",
+    "Destroy": "Hentikan",
+    "Map faces": "Petakan wajah",
+    "Processing...": "Sedang memproses...",
+    "Processing succeed!": "Pemrosesan berhasil!",
+    "Processing ignored!": "Pemrosesan diabaikan!",
+    "Failed to start camera": "Gagal memulai kamera",
+    "Please complete pop-up or close it.": "Harap selesaikan atau tutup pop-up.",
+    "Getting unique faces": "Mengambil wajah unik",
+    "Please select a source image first": "Silakan pilih gambar sumber terlebih dahulu",
+    "No faces found in target": "Tidak ada wajah ditemukan pada target",
+    "Add": "Tambah",
+    "Clear": "Bersihkan",
+    "Submit": "Kirim",
+    "Select source image": "Pilih gambar sumber",
+    "Select target image": "Pilih gambar target",
+    "Please provide mapping!": "Harap tentukan pemetaan!",
+    "At least 1 source with target is required!": "Minimal 1 sumber dengan target diperlukan!",
+    "Face could not be detected in last upload!": "Wajah tidak dapat terdeteksi pada unggahan terakhir!",
+    "Select Camera:": "Pilih Kamera:",
+    "All mappings cleared!": "Semua pemetaan telah dibersihkan!",
+    "Mappings successfully submitted!": "Pemetaan berhasil dikirim!",
+    "Source x Target Mapper is already open.": "Pemetaan Sumber x Target sudah terbuka."
+}
@@ -0,0 +1,45 @@
+{
+    "Source x Target Mapper": "ប្រភប x បន្ថែម Mapper",
+    "select a source image": "ជ្រើសរើសប្រភពរូបភាព",
+    "Preview": "បង្ហាញ",
+    "select a target image or video": "ជ្រើសរើសគោលដៅរូបភាពឬវីដេអូ",
+    "save image output file": "រក្សាទុកលទ្ធផលឯកសាររូបភាព",
+    "save video output file": "រក្សាទុកលទ្ធផលឯកសារវីដេអូ",
+    "select a target image": "ជ្រើសរើសគោលដៅរូបភាព",
+    "source": "ប្រភព",
+    "Select a target": "ជ្រើសរើសគោលដៅ",
+    "Select a face": "ជ្រើសរើសមុខ",
+    "Keep audio": "រម្លងសម្លេង",
+    "Face Enhancer": "ឧបករណ៍ពង្រឹងមុខ",
+    "Many faces": "ទម្រង់មុខច្រើន",
+    "Show FPS": "បង្ហាញ FPS",
+    "Keep fps": "រម្លង fps",
+    "Keep frames": "រម្លងទម្រង់",
+    "Fix Blueish Cam": "ជួសជុល Cam Blueish",
+    "Mouth Mask": "របាំងមាត់",
+    "Show Mouth Mask Box": "បង្ហាញប្រអប់របាំងមាត់",
+    "Start": "ចាប់ផ្ដើម",
+    "Live": "ផ្សាយផ្ទាល់",
+    "Destroy": "លុប",
+    "Map faces": "ផែនទីមុខ",
+    "Processing...": "កំពុងដំណើរការ...",
+    "Processing succeed!": "ការដំណើរការទទួលបានជោគជ័យ!",
+    "Processing ignored!": "ការដំណើរការមិនទទួលបានជោគជ័យ!",
+    "Failed to start camera": "បរាជ័យដើម្បីចាប់ផ្ដើមបើកកាមេរ៉ា",
+    "Please complete pop-up or close it.": "សូមបញ្ចប់ផ្ទាំងផុស ឬបិទវា.",
+    "Getting unique faces": "ការចាប់ផ្ដើមទម្រង់មុខប្លែក",
+    "Please select a source image first": "សូមជ្រើសរើសប្រភពរូបភាពដំបូង",
+    "No faces found in target": "រកអត់ឃើញមុខនៅក្នុងគោលដៅ",
+    "Add": "បន្ថែម",
+    "Clear": "សម្អាត",
+    "Submit": "បញ្ចូន",
+    "Select source image": "ជ្រើសរើសប្រភពរូបភាព",
+    "Select target image": "ជ្រើសរើសគោលដៅរូបភាព",
+    "Please provide mapping!": "សូមផ្ដល់នៅផែនទី",
+    "At least 1 source with target is required!": "ត្រូវការប្រភពយ៉ាងហោចណាស់ ១ ដែលមានគោលដៅ!",
+    "Face could not be detected in last upload!": "មុខមិនអាចភ្ជាប់នៅក្នុងការបង្ហេាះចុងក្រោយ!",
+    "Select Camera:": "ជ្រើសរើសកាមេរ៉ា",
+    "All mappings cleared!": "ផែនទីទាំងអស់ត្រូវបានសម្អាត!",
+    "Mappings successfully submitted!": "ផែនទីត្រូវបានបញ្ជូនជោគជ័យ!",
+    "Source x Target Mapper is already open.": "ប្រភព x Target Mapper បានបើករួចហើយ។"
+}
@@ -0,0 +1,45 @@
+{
+    "Source x Target Mapper": "소스 x 타겟 매퍼",
+    "select a source image": "소스 이미지 선택",
+    "Preview": "미리보기",
+    "select a target image or video": "타겟 이미지 또는 영상 선택",
+    "save image output file": "이미지 출력 파일 저장",
+    "save video output file": "영상 출력 파일 저장",
+    "select a target image": "타겟 이미지 선택",
+    "source": "소스",
+    "Select a target": "타겟 선택",
+    "Select a face": "얼굴 선택",
+    "Keep audio": "오디오 유지",
+    "Face Enhancer": "얼굴 향상",
+    "Many faces": "여러 얼굴",
+    "Show FPS": "FPS 표시",
+    "Keep fps": "FPS 유지",
+    "Keep frames": "프레임 유지",
+    "Fix Blueish Cam": "푸른빛 카메라 보정",
+    "Mouth Mask": "입 마스크",
+    "Show Mouth Mask Box": "입 마스크 박스 표시",
+    "Start": "시작",
+    "Live": "라이브",
+    "Destroy": "종료",
+    "Map faces": "얼굴 매핑",
+    "Processing...": "처리 중...",
+    "Processing succeed!": "처리 성공!",
+    "Processing ignored!": "처리 무시됨!",
+    "Failed to start camera": "카메라 시작 실패",
+    "Please complete pop-up or close it.": "팝업을 완료하거나 닫아주세요.",
+    "Getting unique faces": "고유 얼굴 가져오는 중",
+    "Please select a source image first": "먼저 소스 이미지를 선택해주세요",
+    "No faces found in target": "타겟에서 얼굴을 찾을 수 없음",
+    "Add": "추가",
+    "Clear": "지우기",
+    "Submit": "제출",
+    "Select source image": "소스 이미지 선택",
+    "Select target image": "타겟 이미지 선택",
+    "Please provide mapping!": "매핑을 입력해주세요!",
+    "At least 1 source with target is required!": "최소 하나의 소스와 타겟이 필요합니다!",
+    "Face could not be detected in last upload!": "최근 업로드에서 얼굴을 감지할 수 없습니다!",
+    "Select Camera:": "카메라 선택:",
+    "All mappings cleared!": "모든 매핑이 삭제되었습니다!",
+    "Mappings successfully submitted!": "매핑이 성공적으로 제출되었습니다!",
+    "Source x Target Mapper is already open.": "소스 x 타겟 매퍼가 이미 열려 있습니다."
+}
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Mapeador de Origem x Destino",
+    "select an source image": "Escolha uma imagem de origem",
+    "Preview": "Prévia",
+    "select an target image or video": "Escolha uma imagem ou vídeo de destino",
+    "save image output file": "Salvar imagem final",
+    "save video output file": "Salvar vídeo final",
+    "select an target image": "Escolha uma imagem de destino",
+    "source": "Origem",
+    "Select a target": "Escolha o destino",
+    "Select a face": "Escolha um rosto",
+    "Keep audio": "Manter o áudio original",
+    "Face Enhancer": "Melhorar rosto",
+    "Many faces": "Vários rostos",
+    "Show FPS": "Mostrar FPS",
+    "Keep fps": "Manter FPS",
+    "Keep frames": "Manter frames",
+    "Fix Blueish Cam": "Corrigir tom azulado da câmera",
+    "Mouth Mask": "Máscara da boca",
+    "Show Mouth Mask Box": "Mostrar área da máscara da boca",
+    "Start": "Começar",
+    "Live": "Ao vivo",
+    "Destroy": "Destruir",
+    "Map faces": "Mapear rostos",
+    "Processing...": "Processando...",
+    "Processing succeed!": "Tudo certo!",
+    "Processing ignored!": "Processamento ignorado!",
+    "Failed to start camera": "Não foi possível iniciar a câmera",
+    "Please complete pop-up or close it.": "Finalize ou feche o pop-up",
+    "Getting unique faces": "Buscando rostos diferentes",
+    "Please select a source image first": "Selecione primeiro uma imagem de origem",
+    "No faces found in target": "Nenhum rosto encontrado na imagem de destino",
+    "Add": "Adicionar",
+    "Clear": "Limpar",
+    "Submit": "Enviar",
+    "Select source image": "Escolha a imagem de origem",
+    "Select target image": "Escolha a imagem de destino",
+    "Please provide mapping!": "Você precisa realizar o mapeamento!",
+    "Atleast 1 source with target is required!": "É necessária pelo menos uma origem com um destino!",
+    "At least 1 source with target is required!": "É necessária pelo menos uma origem com um destino!",
+    "Face could not be detected in last upload!": "Não conseguimos detectar o rosto na última imagem!",
+    "Select Camera:": "Escolher câmera:",
+    "All mappings cleared!": "Todos os mapeamentos foram removidos!",
+    "Mappings successfully submitted!": "Mapeamentos enviados com sucesso!",
+    "Source x Target Mapper is already open.": "O Mapeador de Origem x Destino já está aberto."
+}
@@ -0,0 +1,45 @@
+{
+    "Source x Target Mapper": "Сопоставитель Источник x Цель",
+    "select a source image": "выберите исходное изображение",
+    "Preview": "Предпросмотр",
+    "select a target image or video": "выберите целевое изображение или видео",
+    "save image output file": "сохранить выходной файл изображения",
+    "save video output file": "сохранить выходной файл видео",
+    "select a target image": "выберите целевое изображение",
+    "source": "источник",
+    "Select a target": "Выберите целевое изображение",
+    "Select a face": "Выберите лицо",
+    "Keep audio": "Сохранить аудио",
+    "Face Enhancer": "Улучшение лица",
+    "Many faces": "Несколько лиц",
+    "Show FPS": "Показать FPS",
+    "Keep fps": "Сохранить FPS",
+    "Keep frames": "Сохранить кадры",
+    "Fix Blueish Cam": "Исправить синеву камеры",
+    "Mouth Mask": "Маска рта",
+    "Show Mouth Mask Box": "Показать рамку маски рта",
+    "Start": "Старт",
+    "Live": "В реальном времени",
+    "Destroy": "Остановить",
+    "Map faces": "Сопоставить лица",
+    "Processing...": "Обработка...",
+    "Processing succeed!": "Обработка успешна!",
+    "Processing ignored!": "Обработка проигнорирована!",
+    "Failed to start camera": "Не удалось запустить камеру",
+    "Please complete pop-up or close it.": "Пожалуйста, заполните всплывающее окно или закройте его.",
+    "Getting unique faces": "Получение уникальных лиц",
+    "Please select a source image first": "Сначала выберите исходное изображение, пожалуйста",
+    "No faces found in target": "В целевом изображении не найдено лиц",
+    "Add": "Добавить",
+    "Clear": "Очистить",
+    "Submit": "Отправить",
+    "Select source image": "Выбрать исходное изображение",
+    "Select target image": "Выбрать целевое изображение",
+    "Please provide mapping!": "Пожалуйста, укажите сопоставление!",
+    "At least 1 source with target is required!": "Требуется хотя бы 1 источник с целью!",
+    "Face could not be detected in last upload!": "Лицо не обнаружено в последнем загруженном изображении!",
+    "Select Camera:": "Выберите камеру:",
+    "All mappings cleared!": "Все сопоставления очищены!",
+    "Mappings successfully submitted!": "Сопоставления успешно отправлены!",
+    "Source x Target Mapper is already open.": "Сопоставитель Источник-Цель уже открыт."
+}
@@ -0,0 +1,45 @@
+{
+    "Source x Target Mapper": "ตัวจับคู่ต้นทาง x ปลายทาง",
+    "select a source image": "เลือกรูปภาพต้นฉบับ",
+    "Preview": "ตัวอย่าง",
+    "select a target image or video": "เลือกรูปภาพหรือวิดีโอเป้าหมาย",
+    "save image output file": "บันทึกไฟล์รูปภาพ",
+    "save video output file": "บันทึกไฟล์วิดีโอ",
+    "select a target image": "เลือกรูปภาพเป้าหมาย",
+    "source": "ต้นฉบับ",
+    "Select a target": "เลือกเป้าหมาย",
+    "Select a face": "เลือกใบหน้า",
+    "Keep audio": "เก็บเสียง",
+    "Face Enhancer": "ปรับปรุงใบหน้า",
+    "Many faces": "หลายใบหน้า",
+    "Show FPS": "แสดง FPS",
+    "Keep fps": "คงค่า FPS",
+    "Keep frames": "คงค่าเฟรม",
+    "Fix Blueish Cam": "แก้ไขภาพอมฟ้าจากกล้อง",
+    "Mouth Mask": "มาสก์ปาก",
+    "Show Mouth Mask Box": "แสดงกรอบมาสก์ปาก",
+    "Start": "เริ่ม",
+    "Live": "สด",
+    "Destroy": "หยุด",
+    "Map faces": "จับคู่ใบหน้า",
+    "Processing...": "กำลังประมวลผล...",
+    "Processing succeed!": "ประมวลผลสำเร็จแล้ว!",
+    "Processing ignored!": "การประมวลผลถูกละเว้น",
+    "Failed to start camera": "ไม่สามารถเริ่มกล้องได้",
+    "Please complete pop-up or close it.": "โปรดดำเนินการในป๊อปอัปให้เสร็จสิ้น หรือปิด",
+    "Getting unique faces": "กำลังค้นหาใบหน้าที่ไม่ซ้ำกัน",
+    "Please select a source image first": "โปรดเลือกภาพต้นฉบับก่อน",
+    "No faces found in target": "ไม่พบใบหน้าในภาพเป้าหมาย",
+    "Add": "เพิ่ม",
+    "Clear": "ล้าง",
+    "Submit": "ส่ง",
+    "Select source image": "เลือกภาพต้นฉบับ",
+    "Select target image": "เลือกภาพเป้าหมาย",
+    "Please provide mapping!": "โปรดระบุการจับคู่!",
+    "At least 1 source with target is required!": "ต้องมีการจับคู่ต้นฉบับกับเป้าหมายอย่างน้อย 1 คู่!",
+    "Face could not be detected in last upload!": "ไม่สามารถตรวจพบใบหน้าในไฟล์อัปโหลดล่าสุด!",
+    "Select Camera:": "เลือกกล้อง:",
+    "All mappings cleared!": "ล้างการจับคู่ทั้งหมดแล้ว!",
+    "Mappings successfully submitted!": "ส่งการจับคู่สำเร็จแล้ว!",
+    "Source x Target Mapper is already open.": "ตัวจับคู่ต้นทาง x ปลายทาง เปิดอยู่แล้ว"
+}
@@ -0,0 +1,46 @@
+{
+    "Source x Target Mapper": "Source x Target Mapper",
+    "select a source image": "选择一个源图像",
+    "Preview": "预览",
+    "select a target image or video": "选择一个目标图像或视频",
+    "save image output file": "保存图像输出文件",
+    "save video output file": "保存视频输出文件",
+    "select a target image": "选择一个目标图像",
+    "source": "源",
+    "Select a target": "选择一个目标",
+    "Select a face": "选择一张脸",
+    "Keep audio": "保留音频",
+    "Face Enhancer": "面纹增强器",
+    "Many faces": "多脸",
+    "Show FPS": "显示帧率",
+    "Keep fps": "保持帧率",
+    "Keep frames": "保持帧数",
+    "Fix Blueish Cam": "修复偏蓝的摄像头",
+    "Mouth Mask": "口罩",
+    "Show Mouth Mask Box": "显示口罩盒",
+    "Start": "开始",
+    "Live": "直播",
+    "Destroy": "结束",
+    "Map faces": "识别人脸",
+    "Processing...": "处理中...",
+    "Processing succeed!": "处理成功!",
+    "Processing ignored!": "处理被忽略!",
+    "Failed to start camera": "启动相机失败",
+    "Please complete pop-up or close it.": "请先完成弹出窗口或者关闭它",
+    "Getting unique faces": "获取独特面部",
+    "Please select a source image first": "请先选择一个源图像",
+    "No faces found in target": "目标图像中没有人脸",
+    "Add": "添加",
+    "Clear": "清除",
+    "Submit": "确认",
+    "Select source image": "请选取源图像",
+    "Select target image": "请选取目标图像",
+    "Please provide mapping!": "请提供映射",
+    "At least 1 source with target is required!": "至少需要一个来源图像与目标图像相关！",
+    "At least 1 source with target is required!": "至少需要一个来源图像与目标图像相关！",
+    "Face could not be detected in last upload!": "最近上传的图像中没有检测到人脸!",
+    "Select Camera:": "选择摄像头",
+    "All mappings cleared!": "所有映射均已清除!",
+    "Mappings successfully submitted!": "成功提交映射！",
+    "Source x Target Mapper is already open.": "源 x 目标映射器已打开。"
+}
@@ -0,0 +1,18 @@
+import os 
+import cv2
+import numpy as np
+
+# Utility function to support unicode characters in file paths for reading
+def imread_unicode(path, flags=cv2.IMREAD_COLOR):
+    return cv2.imdecode(np.fromfile(path, dtype=np.uint8), flags)
+
+# Utility function to support unicode characters in file paths for writing
+def imwrite_unicode(path, img, params=None):
+    root, ext = os.path.splitext(path)
+    if not ext:
+        ext = ".png"
+        result, encoded_img = cv2.imencode(ext, img, params if params else [])
+        result, encoded_img = cv2.imencode(f".{ext}", img, params if params is not None else [])
+        encoded_img.tofile(path)
+        return True
+    return False
@@ -44,6 +44,7 @@ def parse_args() -> None:
    program.add_argument('--mouth-mask', help='mask the mouth region', dest='mouth_mask', action='store_true', default=False)
    program.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9'])
    program.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]')
+    program.add_argument('-l', '--lang', help='Ui language', default="en")
    program.add_argument('--live-mirror', help='The live camera display as you see it in the front-facing camera frame', dest='live_mirror', action='store_true', default=False)
    program.add_argument('--live-resizable', help='The live camera frame is resizable', dest='live_resizable', action='store_true', default=False)
    program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory())
@@ -78,6 +79,7 @@ def parse_args() -> None:
    modules.globals.max_memory = args.max_memory
    modules.globals.execution_providers = decode_execution_providers(args.execution_provider)
    modules.globals.execution_threads = args.execution_threads
+    modules.globals.lang = args.lang

    #for ENHANCER tumbler:
    if 'face_enhancer' in args.frame_processor:
@@ -253,5 +255,5 @@ def run() -> None:
    if modules.globals.headless:
        start()
    else:
-        window = ui.init(start, destroy)
+        window = ui.init(start, destroy, modules.globals.lang)
        window.mainloop()
@@ -0,0 +1,7 @@
+from typing import Any
+
+from insightface.app.common import Face
+import numpy
+ 
+Face = Face
+Frame = numpy.ndarray[Any, Any] 
@@ -39,13 +39,13 @@ def get_many_faces(frame: Frame) -> Any:
        return None

 def has_valid_map() -> bool:
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map and "target" in map:
            return True
    return False

 def default_source_face() -> Any:
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map:
            return map['source']['face']
    return None
@@ -53,7 +53,7 @@ def default_source_face() -> Any:
 def simplify_maps() -> Any:
    centroids = []
    faces = []
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        if "source" in map and "target" in map:
            centroids.append(map['target']['face'].normed_embedding)
            faces.append(map['source']['face'])
@@ -64,10 +64,10 @@ def simplify_maps() -> Any:
 def add_blank_map() -> Any:
    try:
        max_id = -1
-        if len(modules.globals.souce_target_map) > 0:
-            max_id = max(modules.globals.souce_target_map, key=lambda x: x['id'])['id']
+        if len(modules.globals.source_target_map) > 0:
+            max_id = max(modules.globals.source_target_map, key=lambda x: x['id'])['id']

-        modules.globals.souce_target_map.append({
+        modules.globals.source_target_map.append({
                'id' : max_id + 1
                })
    except ValueError:
@@ -75,14 +75,14 @@ def add_blank_map() -> Any:
    
 def get_unique_faces_from_target_image() -> Any:
    try:
-        modules.globals.souce_target_map = []
+        modules.globals.source_target_map = []
        target_frame = cv2.imread(modules.globals.target_path)
        many_faces = get_many_faces(target_frame)
        i = 0

        for face in many_faces:
            x_min, y_min, x_max, y_max = face['bbox']
-            modules.globals.souce_target_map.append({
+            modules.globals.source_target_map.append({
                'id' : i, 
                'target' : {
                            'cv2' : target_frame[int(y_min):int(y_max), int(x_min):int(x_max)],
@@ -96,7 +96,7 @@ def get_unique_faces_from_target_image() -> Any:
    
 def get_unique_faces_from_target_video() -> Any:
    try:
-        modules.globals.souce_target_map = []
+        modules.globals.source_target_map = []
        frame_face_embeddings = []
        face_embeddings = []
    
@@ -127,7 +127,7 @@ def get_unique_faces_from_target_video() -> Any:
                face['target_centroid'] = closest_centroid_index

        for i in range(len(centroids)):
-            modules.globals.souce_target_map.append({
+            modules.globals.source_target_map.append({
                'id' : i
            })

@@ -135,7 +135,7 @@ def get_unique_faces_from_target_video() -> Any:
            for frame in tqdm(frame_face_embeddings, desc=f"Mapping frame embeddings to centroids-{i}"):
                temp.append({'frame': frame['frame'], 'faces': [face for face in frame['faces'] if face['target_centroid'] == i], 'location': frame['location']})

-            modules.globals.souce_target_map[i]['target_faces_in_frame'] = temp
+            modules.globals.source_target_map[i]['target_faces_in_frame'] = temp

        # dump_faces(centroids, frame_face_embeddings)
        default_target_face()
@@ -144,7 +144,7 @@ def get_unique_faces_from_target_video() -> Any:
    

 def default_target_face():
-    for map in modules.globals.souce_target_map:
+    for map in modules.globals.source_target_map:
        best_face = None
        best_frame = None
        for frame in map['target_faces_in_frame']:
@@ -0,0 +1,26 @@
+import json
+from pathlib import Path
+
+class LanguageManager:
+    def __init__(self, default_language="en"):
+        self.current_language = default_language
+        self.translations = {}
+        self.load_language(default_language)
+
+    def load_language(self, language_code) -> bool:
+        """load language file"""
+        if language_code == "en":
+            return True
+        try:
+            file_path = Path(__file__).parent.parent / f"locales/{language_code}.json"
+            with open(file_path, "r", encoding="utf-8") as file:
+                self.translations = json.load(file)
+            self.current_language = language_code
+            return True
+        except FileNotFoundError:
+            print(f"Language file not found: {language_code}")
+            return False
+
+    def _(self, key, default=None) -> str:
+        """get translate text"""
+        return self.translations.get(key, default if default else key)
@@ -1,3 +1,5 @@
+# --- START OF FILE globals.py ---
+
 import os
 from typing import List, Dict, Any

@@ -9,35 +11,61 @@ file_types = [
    ("Video", ("*.mp4", "*.mkv")),
 ]

-souce_target_map = []
-simple_map = {}
+# Face Mapping Data
+source_target_map: List[Dict[str, Any]] = [] # Stores detailed map for image/video processing
+simple_map: Dict[str, Any] = {}             # Stores simplified map (embeddings/faces) for live/simple mode

-source_path = None
-target_path = None
-output_path = None
+# Paths
+source_path: str | None = None
+target_path: str | None = None
+output_path: str | None = None
+
+# Processing Options
 frame_processors: List[str] = []
-keep_fps = True
-keep_audio = True
-keep_frames = False
-many_faces = False
-map_faces = False
-color_correction = False  # New global variable for color correction toggle
-nsfw_filter = False
-video_encoder = None
-video_quality = None
-live_mirror = False
-live_resizable = True
-max_memory = None
-execution_providers: List[str] = []
-execution_threads = None
-headless = None
-log_level = "error"
+keep_fps: bool = True
+keep_audio: bool = True
+keep_frames: bool = False
+many_faces: bool = False         # Process all detected faces with default source
+map_faces: bool = False          # Use source_target_map or simple_map for specific swaps
+color_correction: bool = False   # Enable color correction (implementation specific)
+nsfw_filter: bool = False
+
+# Video Output Options
+video_encoder: str | None = None
+video_quality: int | None = None # Typically a CRF value or bitrate
+
+# Live Mode Options
+live_mirror: bool = False
+live_resizable: bool = True
+camera_input_combobox: Any | None = None # Placeholder for UI element if needed
+webcam_preview_running: bool = False
+show_fps: bool = False
+
+# System Configuration
+max_memory: int | None = None        # Memory limit in GB? (Needs clarification)
+execution_providers: List[str] = []  # e.g., ['CUDAExecutionProvider', 'CPUExecutionProvider']
+execution_threads: int | None = None # Number of threads for CPU execution
+headless: bool | None = None         # Run without UI?
+log_level: str = "error"             # Logging level (e.g., 'debug', 'info', 'warning', 'error')
+
+# Face Processor UI Toggles (Example)
 fp_ui: Dict[str, bool] = {"face_enhancer": False}
-camera_input_combobox = None
-webcam_preview_running = False
-show_fps = False
-mouth_mask = False
-show_mouth_mask_box = False
-mask_feather_ratio = 8
-mask_down_size = 0.50
-mask_size = 1
+
+# Face Swapper Specific Options
+face_swapper_enabled: bool = True # General toggle for the swapper processor
+opacity: float = 1.0              # Blend factor for the swapped face (0.0-1.0)
+sharpness: float = 0.0            # Sharpness enhancement for swapped face (0.0-1.0+)
+
+# Mouth Mask Options
+mouth_mask: bool = False           # Enable mouth area masking/pasting
+show_mouth_mask_box: bool = False  # Visualize the mouth mask area (for debugging)
+mask_feather_ratio: int = 12       # Denominator for feathering calculation (higher = smaller feather)
+mask_down_size: float = 0.1        # Expansion factor for lower lip mask (relative)
+mask_size: float = 1.0             # Expansion factor for upper lip mask (relative)
+
+# --- START: Added for Frame Interpolation ---
+enable_interpolation: bool = True # Toggle temporal smoothing
+interpolation_weight: float = 0  # Blend weight for current frame (0.0-1.0). Lower=smoother.
+# --- END: Added for Frame Interpolation ---
+
+# --- END OF FILE globals.py ---
@@ -1,3 +1,3 @@
 name = 'Deep-Live-Cam'
-version = '1.8'
+version = '2.0c'
 edition = 'GitHub Edition'
@@ -42,18 +42,29 @@ def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType

 def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
    global FRAME_PROCESSORS_MODULES
+    current_processor_names = [proc.__name__.split('.')[-1] for proc in FRAME_PROCESSORS_MODULES]
+
    for frame_processor, state in modules.globals.fp_ui.items():
-        if state == True and frame_processor not in frame_processors:
-            frame_processor_module = load_frame_processor_module(frame_processor)
-            FRAME_PROCESSORS_MODULES.append(frame_processor_module)
-            modules.globals.frame_processors.append(frame_processor)
-        if state == False:
+        if state == True and frame_processor not in current_processor_names:
            try:
                frame_processor_module = load_frame_processor_module(frame_processor)
-                FRAME_PROCESSORS_MODULES.remove(frame_processor_module)
-                modules.globals.frame_processors.remove(frame_processor)
-            except:
-                pass
+                FRAME_PROCESSORS_MODULES.append(frame_processor_module)
+                if frame_processor not in modules.globals.frame_processors:
+                     modules.globals.frame_processors.append(frame_processor)
+            except SystemExit:
+                 print(f"Warning: Failed to load frame processor {frame_processor} requested by UI state.")
+            except Exception as e:
+                 print(f"Warning: Error loading frame processor {frame_processor} requested by UI state: {e}")
+
+        elif state == False and frame_processor in current_processor_names:
+            try:
+                module_to_remove = next((mod for mod in FRAME_PROCESSORS_MODULES if mod.__name__.endswith(f'.{frame_processor}')), None)
+                if module_to_remove:
+                    FRAME_PROCESSORS_MODULES.remove(module_to_remove)
+                if frame_processor in modules.globals.frame_processors:
+                    modules.globals.frame_processors.remove(frame_processor)
+            except Exception as e:
+                 print(f"Warning: Error removing frame processor {frame_processor}: {e}")

 def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
    with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
@@ -1,16 +1,18 @@
+# --- START OF FILE face_enhancer.py ---
+
 from typing import Any, List
 import cv2
 import threading
 import gfpgan
 import os
+import platform
+import torch # Make sure torch is imported

 import modules.globals
 import modules.processors.frame.core
 from modules.core import update_status
 from modules.face_analyser import get_one_face
 from modules.typing import Frame, Face
-import platform
-import torch
 from modules.utilities import (
    conditional_download,
    is_image,
@@ -49,61 +51,156 @@ def pre_start() -> bool:


 def get_face_enhancer() -> Any:
+    """
+    Initializes and returns the GFPGAN face enhancer instance,
+    prioritizing CUDA, then MPS (Mac), then CPU.
+    """
    global FACE_ENHANCER

    with THREAD_LOCK:
        if FACE_ENHANCER is None:
            model_path = os.path.join(models_dir, "GFPGANv1.4.pth")
-            
-            match platform.system():
-                case "Darwin":  # Mac OS
-                    if torch.backends.mps.is_available():
-                        mps_device = torch.device("mps")
-                        FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1, device=mps_device)  # type: ignore[attr-defined]
-                    else:
-                        FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
-                case _:  # Other OS
-                    FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1)  # type: ignore[attr-defined]
+            device = None
+            try:
+                # Priority 1: CUDA
+                if torch.cuda.is_available():
+                    device = torch.device("cuda")
+                    print(f"{NAME}: Using CUDA device.")
+                # Priority 2: MPS (Mac Silicon)
+                elif platform.system() == "Darwin" and torch.backends.mps.is_available():
+                    device = torch.device("mps")
+                    print(f"{NAME}: Using MPS device.")
+                # Priority 3: CPU
+                else:
+                    device = torch.device("cpu")
+                    print(f"{NAME}: Using CPU device.")
+
+                FACE_ENHANCER = gfpgan.GFPGANer(
+                    model_path=model_path,
+                    upscale=1,  # upscale=1 means enhancement only, no resizing
+                    arch='clean',
+                    channel_multiplier=2,
+                    bg_upsampler=None,
+                    device=device
+                )
+                print(f"{NAME}: GFPGANer initialized successfully on {device}.")
+
+            except Exception as e:
+                print(f"{NAME}: Error initializing GFPGANer: {e}")
+                # Fallback to CPU if initialization with GPU fails for some reason
+                if device is not None and device.type != 'cpu':
+                    print(f"{NAME}: Falling back to CPU due to error.")
+                    try:
+                        device = torch.device("cpu")
+                        FACE_ENHANCER = gfpgan.GFPGANer(
+                            model_path=model_path,
+                            upscale=1,
+                            arch='clean',
+                            channel_multiplier=2,
+                            bg_upsampler=None,
+                            device=device
+                        )
+                        print(f"{NAME}: GFPGANer initialized successfully on CPU after fallback.")
+                    except Exception as fallback_e:
+                         print(f"{NAME}: FATAL: Could not initialize GFPGANer even on CPU: {fallback_e}")
+                         FACE_ENHANCER = None # Ensure it's None if totally failed
+                else:
+                    # If it failed even on the first CPU attempt or device was already CPU
+                     print(f"{NAME}: FATAL: Could not initialize GFPGANer on CPU: {e}")
+                     FACE_ENHANCER = None # Ensure it's None if totally failed
+
+
+    # Check if enhancer is still None after attempting initialization
+    if FACE_ENHANCER is None:
+        raise RuntimeError(f"{NAME}: Failed to initialize GFPGANer. Check logs for errors.")

    return FACE_ENHANCER


 def enhance_face(temp_frame: Frame) -> Frame:
-    with THREAD_SEMAPHORE:
-        _, _, temp_frame = get_face_enhancer().enhance(temp_frame, paste_back=True)
-    return temp_frame
+    """Enhances faces in a single frame using the global GFPGANer instance."""
+    # Ensure enhancer is ready
+    enhancer = get_face_enhancer()
+    try:
+        with THREAD_SEMAPHORE:
+            # The enhance method returns: _, restored_faces, restored_img
+            _, _, restored_img = enhancer.enhance(
+                temp_frame,
+                has_aligned=False, # Assume faces are not pre-aligned
+                only_center_face=False, # Enhance all detected faces
+                paste_back=True # Paste enhanced faces back onto the original image
+            )
+        # GFPGAN might return None if no face is detected or an error occurs
+        if restored_img is None:
+            # print(f"{NAME}: Warning: GFPGAN enhancement returned None. Returning original frame.")
+            return temp_frame
+        return restored_img
+    except Exception as e:
+        print(f"{NAME}: Error during face enhancement: {e}")
+        # Return the original frame in case of error during enhancement
+        return temp_frame


-def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
-    target_face = get_one_face(temp_frame)
-    if target_face:
-        temp_frame = enhance_face(temp_frame)
+def process_frame(source_face: Face | None, temp_frame: Frame) -> Frame:
+    """Processes a frame: enhances face if detected."""
+    # We don't strictly need source_face for enhancement only
+    # Check if any face exists to potentially save processing time, though GFPGAN also does detection.
+    # For simplicity and ensuring enhancement is attempted if possible, we can rely on enhance_face.
+    # target_face = get_one_face(temp_frame) # This gets only ONE face
+    # If you want to enhance ONLY if a face is detected by your *own* analyser first:
+    # has_face = get_one_face(temp_frame) is not None # Or use get_many_faces
+    # if has_face:
+    #     temp_frame = enhance_face(temp_frame)
+    # else: # Enhance regardless, let GFPGAN handle detection
+    temp_frame = enhance_face(temp_frame)
    return temp_frame


 def process_frames(
-    source_path: str, temp_frame_paths: List[str], progress: Any = None
+    source_path: str | None, temp_frame_paths: List[str], progress: Any = None
 ) -> None:
+    """Processes multiple frames from file paths."""
    for temp_frame_path in temp_frame_paths:
+        if not os.path.exists(temp_frame_path):
+            print(f"{NAME}: Warning: Frame path not found {temp_frame_path}, skipping.")
+            if progress:
+                progress.update(1)
+            continue
+
        temp_frame = cv2.imread(temp_frame_path)
-        result = process_frame(None, temp_frame)
-        cv2.imwrite(temp_frame_path, result)
+        if temp_frame is None:
+            print(f"{NAME}: Warning: Failed to read frame {temp_frame_path}, skipping.")
+            if progress:
+                progress.update(1)
+            continue
+
+        result_frame = process_frame(None, temp_frame)
+        cv2.imwrite(temp_frame_path, result_frame)
        if progress:
            progress.update(1)


-def process_image(source_path: str, target_path: str, output_path: str) -> None:
+def process_image(source_path: str | None, target_path: str, output_path: str) -> None:
+    """Processes a single image file."""
    target_frame = cv2.imread(target_path)
-    result = process_frame(None, target_frame)
-    cv2.imwrite(output_path, result)
+    if target_frame is None:
+        print(f"{NAME}: Error: Failed to read target image {target_path}")
+        return
+    result_frame = process_frame(None, target_frame)
+    cv2.imwrite(output_path, result_frame)
+    print(f"{NAME}: Enhanced image saved to {output_path}")


-def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
-    modules.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
+def process_video(source_path: str | None, temp_frame_paths: List[str]) -> None:
+    """Processes video frames using the frame processor core."""
+    # source_path might be optional depending on how process_video is called
+    modules.processors.frame.core.process_video(source_path, temp_frame_paths, process_frames)

+# Optional: Keep process_frame_v2 if it's used elsewhere, otherwise it's redundant
+# def process_frame_v2(temp_frame: Frame) -> Frame:
+#     target_face = get_one_face(temp_frame)
+#     if target_face:
+#         temp_frame = enhance_face(temp_frame)
+#     return temp_frame

-def process_frame_v2(temp_frame: Frame) -> Frame:
-    target_face = get_one_face(temp_frame)
-    if target_face:
-        temp_frame = enhance_face(temp_frame)
-    return temp_frame
+# --- END OF FILE face_enhancer.py ---
@@ -0,0 +1,609 @@
+import cv2
+import numpy as np
+from modules.typing import Face, Frame
+import modules.globals
+
+def apply_color_transfer(source, target):
+    """
+    Apply color transfer from target to source image
+    """
+    source = cv2.cvtColor(source, cv2.COLOR_BGR2LAB).astype("float32")
+    target = cv2.cvtColor(target, cv2.COLOR_BGR2LAB).astype("float32")
+
+    source_mean, source_std = cv2.meanStdDev(source)
+    target_mean, target_std = cv2.meanStdDev(target)
+
+    # Reshape mean and std to be broadcastable
+    source_mean = source_mean.reshape(1, 1, 3)
+    source_std = source_std.reshape(1, 1, 3)
+    target_mean = target_mean.reshape(1, 1, 3)
+    target_std = target_std.reshape(1, 1, 3)
+
+    # Perform the color transfer
+    source = (source - source_mean) * (target_std / source_std) + target_mean
+
+    return cv2.cvtColor(np.clip(source, 0, 255).astype("uint8"), cv2.COLOR_LAB2BGR)
+
+def create_face_mask(face: Face, frame: Frame) -> np.ndarray:
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        # Convert landmarks to int32
+        landmarks = landmarks.astype(np.int32)
+
+        # Extract facial features
+        right_side_face = landmarks[0:16]
+        left_side_face = landmarks[17:32]
+        right_eye = landmarks[33:42]
+        right_eye_brow = landmarks[43:51]
+        left_eye = landmarks[87:96]
+        left_eye_brow = landmarks[97:105]
+
+        # Calculate padding
+        padding = int(
+            np.linalg.norm(right_side_face[0] - left_side_face[-1]) * 0.05
+        )  # 5% of face width
+
+        # Create a slightly larger convex hull for padding
+        hull = cv2.convexHull(face_outline)
+        hull_padded = []
+        for point in hull:
+            x, y = point[0]
+            center = np.mean(face_outline, axis=0)
+            direction = np.array([x, y]) - center
+            direction = direction / np.linalg.norm(direction)
+            padded_point = np.array([x, y]) + direction * padding
+            hull_padded.append(padded_point)
+
+        hull_padded = np.array(hull_padded, dtype=np.int32)
+
+        # Fill the padded convex hull
+        cv2.fillConvexPoly(mask, hull_padded, 255)
+
+        # Smooth the mask edges
+        mask = cv2.GaussianBlur(mask, (5, 5), 3)
+
+    return mask
+
+def create_lower_mouth_mask(
+    face: Face, frame: Frame
+) -> (np.ndarray, np.ndarray, tuple, np.ndarray):
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    mouth_cutout = None
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        #                  0  1  2  3  4  5  6  7  8  9  10 11 12 13 14 15 16 17 18 19 20
+        lower_lip_order = [
+            65,
+            66,
+            62,
+            70,
+            69,
+            18,
+            19,
+            20,
+            21,
+            22,
+            23,
+            24,
+            0,
+            8,
+            7,
+            6,
+            5,
+            4,
+            3,
+            2,
+            65,
+        ]
+        lower_lip_landmarks = landmarks[lower_lip_order].astype(
+            np.float32
+        )  # Use float for precise calculations
+
+        # Calculate the center of the landmarks
+        center = np.mean(lower_lip_landmarks, axis=0)
+
+        # Expand the landmarks outward using the mouth_mask_size
+        expansion_factor = (
+            1 + modules.globals.mask_down_size * modules.globals.mouth_mask_size
+        )  # Adjust expansion based on slider
+        expanded_landmarks = (lower_lip_landmarks - center) * expansion_factor + center
+
+        # Extend the top lip part
+        toplip_indices = [
+            20,
+            0,
+            1,
+            2,
+            3,
+            4,
+            5,
+        ]  # Indices for landmarks 2, 65, 66, 62, 70, 69, 18
+        toplip_extension = (
+            modules.globals.mask_size * modules.globals.mouth_mask_size * 0.5
+        )  # Adjust extension based on slider
+        for idx in toplip_indices:
+            direction = expanded_landmarks[idx] - center
+            direction = direction / np.linalg.norm(direction)
+            expanded_landmarks[idx] += direction * toplip_extension
+
+        # Extend the bottom part (chin area)
+        chin_indices = [
+            11,
+            12,
+            13,
+            14,
+            15,
+            16,
+        ]  # Indices for landmarks 21, 22, 23, 24, 0, 8
+        chin_extension = 2 * 0.2  # Adjust this factor to control the extension
+        for idx in chin_indices:
+            expanded_landmarks[idx][1] += (
+                expanded_landmarks[idx][1] - center[1]
+            ) * chin_extension
+
+        # Convert back to integer coordinates
+        expanded_landmarks = expanded_landmarks.astype(np.int32)
+
+        # Calculate bounding box for the expanded lower mouth
+        min_x, min_y = np.min(expanded_landmarks, axis=0)
+        max_x, max_y = np.max(expanded_landmarks, axis=0)
+
+        # Add some padding to the bounding box
+        padding = int((max_x - min_x) * 0.1)  # 10% padding
+        min_x = max(0, min_x - padding)
+        min_y = max(0, min_y - padding)
+        max_x = min(frame.shape[1], max_x + padding)
+        max_y = min(frame.shape[0], max_y + padding)
+
+        # Ensure the bounding box dimensions are valid
+        if max_x <= min_x or max_y <= min_y:
+            if (max_x - min_x) <= 1:
+                max_x = min_x + 1
+            if (max_y - min_y) <= 1:
+                max_y = min_y + 1
+
+        # Create the mask
+        mask_roi = np.zeros((max_y - min_y, max_x - min_x), dtype=np.uint8)
+        cv2.fillPoly(mask_roi, [expanded_landmarks - [min_x, min_y]], 255)
+
+        # Apply Gaussian blur to soften the mask edges
+        mask_roi = cv2.GaussianBlur(mask_roi, (15, 15), 5)
+
+        # Place the mask ROI in the full-sized mask
+        mask[min_y:max_y, min_x:max_x] = mask_roi
+
+        # Extract the masked area from the frame
+        mouth_cutout = frame[min_y:max_y, min_x:max_x].copy()
+
+        # Return the expanded lower lip polygon in original frame coordinates
+        lower_lip_polygon = expanded_landmarks
+
+    return mask, mouth_cutout, (min_x, min_y, max_x, max_y), lower_lip_polygon
+
+def create_eyes_mask(face: Face, frame: Frame) -> (np.ndarray, np.ndarray, tuple, np.ndarray):
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    eyes_cutout = None
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        # Left eye landmarks (87-96) and right eye landmarks (33-42)
+        left_eye = landmarks[87:96]
+        right_eye = landmarks[33:42]
+        
+        # Calculate centers and dimensions for each eye
+        left_eye_center = np.mean(left_eye, axis=0).astype(np.int32)
+        right_eye_center = np.mean(right_eye, axis=0).astype(np.int32)
+        
+        # Calculate eye dimensions with size adjustment
+        def get_eye_dimensions(eye_points):
+            x_coords = eye_points[:, 0]
+            y_coords = eye_points[:, 1]
+            width = int((np.max(x_coords) - np.min(x_coords)) * (1 + modules.globals.mask_down_size * modules.globals.eyes_mask_size))
+            height = int((np.max(y_coords) - np.min(y_coords)) * (1 + modules.globals.mask_down_size * modules.globals.eyes_mask_size))
+            return width, height
+        
+        left_width, left_height = get_eye_dimensions(left_eye)
+        right_width, right_height = get_eye_dimensions(right_eye)
+        
+        # Add extra padding
+        padding = int(max(left_width, right_width) * 0.2)
+        
+        # Calculate bounding box for both eyes
+        min_x = min(left_eye_center[0] - left_width//2, right_eye_center[0] - right_width//2) - padding
+        max_x = max(left_eye_center[0] + left_width//2, right_eye_center[0] + right_width//2) + padding
+        min_y = min(left_eye_center[1] - left_height//2, right_eye_center[1] - right_height//2) - padding
+        max_y = max(left_eye_center[1] + left_height//2, right_eye_center[1] + right_height//2) + padding
+        
+        # Ensure coordinates are within frame bounds
+        min_x = max(0, min_x)
+        min_y = max(0, min_y)
+        max_x = min(frame.shape[1], max_x)
+        max_y = min(frame.shape[0], max_y)
+        
+        # Create mask for the eyes region
+        mask_roi = np.zeros((max_y - min_y, max_x - min_x), dtype=np.uint8)
+        
+        # Draw ellipses for both eyes
+        left_center = (left_eye_center[0] - min_x, left_eye_center[1] - min_y)
+        right_center = (right_eye_center[0] - min_x, right_eye_center[1] - min_y)
+        
+        # Calculate axes lengths (half of width and height)
+        left_axes = (left_width//2, left_height//2)
+        right_axes = (right_width//2, right_height//2)
+        
+        # Draw filled ellipses
+        cv2.ellipse(mask_roi, left_center, left_axes, 0, 0, 360, 255, -1)
+        cv2.ellipse(mask_roi, right_center, right_axes, 0, 0, 360, 255, -1)
+        
+        # Apply Gaussian blur to soften mask edges
+        mask_roi = cv2.GaussianBlur(mask_roi, (15, 15), 5)
+        
+        # Place the mask ROI in the full-sized mask
+        mask[min_y:max_y, min_x:max_x] = mask_roi
+        
+        # Extract the masked area from the frame
+        eyes_cutout = frame[min_y:max_y, min_x:max_x].copy()
+        
+        # Create polygon points for visualization
+        def create_ellipse_points(center, axes):
+            t = np.linspace(0, 2*np.pi, 32)
+            x = center[0] + axes[0] * np.cos(t)
+            y = center[1] + axes[1] * np.sin(t)
+            return np.column_stack((x, y)).astype(np.int32)
+        
+        # Generate points for both ellipses
+        left_points = create_ellipse_points((left_eye_center[0], left_eye_center[1]), (left_width//2, left_height//2))
+        right_points = create_ellipse_points((right_eye_center[0], right_eye_center[1]), (right_width//2, right_height//2))
+        
+        # Combine points for both eyes
+        eyes_polygon = np.vstack([left_points, right_points])
+        
+    return mask, eyes_cutout, (min_x, min_y, max_x, max_y), eyes_polygon
+
+def create_curved_eyebrow(points):
+    if len(points) >= 5:
+        # Sort points by x-coordinate
+        sorted_idx = np.argsort(points[:, 0])
+        sorted_points = points[sorted_idx]
+        
+        # Calculate dimensions
+        x_min, y_min = np.min(sorted_points, axis=0)
+        x_max, y_max = np.max(sorted_points, axis=0)
+        width = x_max - x_min
+        height = y_max - y_min
+        
+        # Create more points for smoother curve
+        num_points = 50
+        x = np.linspace(x_min, x_max, num_points)
+        
+        # Fit quadratic curve through points for more natural arch
+        coeffs = np.polyfit(sorted_points[:, 0], sorted_points[:, 1], 2)
+        y = np.polyval(coeffs, x)
+        
+        # Increased offsets to create more separation
+        top_offset = height * 0.5  # Increased from 0.3 to shift up more
+        bottom_offset = height * 0.2  # Increased from 0.1 to shift down more
+        
+        # Create smooth curves
+        top_curve = y - top_offset
+        bottom_curve = y + bottom_offset
+        
+        # Create curved endpoints with more pronounced taper
+        end_points = 5
+        start_x = np.linspace(x[0] - width * 0.15, x[0], end_points)  # Increased taper
+        end_x = np.linspace(x[-1], x[-1] + width * 0.15, end_points)  # Increased taper
+        
+        # Create tapered ends
+        start_curve = np.column_stack((
+            start_x,
+            np.linspace(bottom_curve[0], top_curve[0], end_points)
+        ))
+        end_curve = np.column_stack((
+            end_x,
+            np.linspace(bottom_curve[-1], top_curve[-1], end_points)
+        ))
+        
+        # Combine all points to form a smooth contour
+        contour_points = np.vstack([
+            start_curve,
+            np.column_stack((x, top_curve)),
+            end_curve,
+            np.column_stack((x[::-1], bottom_curve[::-1]))
+        ])
+        
+        # Add slight padding for better coverage
+        center = np.mean(contour_points, axis=0)
+        vectors = contour_points - center
+        padded_points = center + vectors * 1.2  # Increased padding slightly
+        
+        return padded_points
+    return points
+
+def create_eyebrows_mask(face: Face, frame: Frame) -> (np.ndarray, np.ndarray, tuple, np.ndarray):
+    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
+    eyebrows_cutout = None
+    landmarks = face.landmark_2d_106
+    if landmarks is not None:
+        # Left eyebrow landmarks (97-105) and right eyebrow landmarks (43-51)
+        left_eyebrow = landmarks[97:105].astype(np.float32)
+        right_eyebrow = landmarks[43:51].astype(np.float32)
+        
+        # Calculate centers and dimensions for each eyebrow
+        left_center = np.mean(left_eyebrow, axis=0)
+        right_center = np.mean(right_eyebrow, axis=0)
+        
+        # Calculate bounding box with padding adjusted by size
+        all_points = np.vstack([left_eyebrow, right_eyebrow])
+        padding_factor = modules.globals.eyebrows_mask_size
+        min_x = np.min(all_points[:, 0]) - 25 * padding_factor
+        max_x = np.max(all_points[:, 0]) + 25 * padding_factor
+        min_y = np.min(all_points[:, 1]) - 20 * padding_factor
+        max_y = np.max(all_points[:, 1]) + 15 * padding_factor
+        
+        # Ensure coordinates are within frame bounds
+        min_x = max(0, int(min_x))
+        min_y = max(0, int(min_y))
+        max_x = min(frame.shape[1], int(max_x))
+        max_y = min(frame.shape[0], int(max_y))
+        
+        # Create mask for the eyebrows region
+        mask_roi = np.zeros((max_y - min_y, max_x - min_x), dtype=np.uint8)
+        
+        try:
+            # Convert points to local coordinates
+            left_local = left_eyebrow - [min_x, min_y]
+            right_local = right_eyebrow - [min_x, min_y]
+            
+            def create_curved_eyebrow(points):
+                if len(points) >= 5:
+                    # Sort points by x-coordinate
+                    sorted_idx = np.argsort(points[:, 0])
+                    sorted_points = points[sorted_idx]
+                    
+                    # Calculate dimensions
+                    x_min, y_min = np.min(sorted_points, axis=0)
+                    x_max, y_max = np.max(sorted_points, axis=0)
+                    width = x_max - x_min
+                    height = y_max - y_min
+                    
+                    # Create more points for smoother curve
+                    num_points = 50
+                    x = np.linspace(x_min, x_max, num_points)
+                    
+                    # Fit quadratic curve through points for more natural arch
+                    coeffs = np.polyfit(sorted_points[:, 0], sorted_points[:, 1], 2)
+                    y = np.polyval(coeffs, x)
+                    
+                    # Increased offsets to create more separation
+                    top_offset = height * 0.5  # Increased from 0.3 to shift up more
+                    bottom_offset = height * 0.2  # Increased from 0.1 to shift down more
+                    
+                    # Create smooth curves
+                    top_curve = y - top_offset
+                    bottom_curve = y + bottom_offset
+                    
+                    # Create curved endpoints with more pronounced taper
+                    end_points = 5
+                    start_x = np.linspace(x[0] - width * 0.15, x[0], end_points)  # Increased taper
+                    end_x = np.linspace(x[-1], x[-1] + width * 0.15, end_points)  # Increased taper
+                    
+                    # Create tapered ends
+                    start_curve = np.column_stack((
+                        start_x,
+                        np.linspace(bottom_curve[0], top_curve[0], end_points)
+                    ))
+                    end_curve = np.column_stack((
+                        end_x,
+                        np.linspace(bottom_curve[-1], top_curve[-1], end_points)
+                    ))
+                    
+                    # Combine all points to form a smooth contour
+                    contour_points = np.vstack([
+                        start_curve,
+                        np.column_stack((x, top_curve)),
+                        end_curve,
+                        np.column_stack((x[::-1], bottom_curve[::-1]))
+                    ])
+                    
+                    # Add slight padding for better coverage
+                    center = np.mean(contour_points, axis=0)
+                    vectors = contour_points - center
+                    padded_points = center + vectors * 1.2  # Increased padding slightly
+                    
+                    return padded_points
+                return points
+            
+            # Generate and draw eyebrow shapes
+            left_shape = create_curved_eyebrow(left_local)
+            right_shape = create_curved_eyebrow(right_local)
+            
+            # Apply multi-stage blurring for natural feathering
+            # First, strong Gaussian blur for initial softening
+            mask_roi = cv2.GaussianBlur(mask_roi, (21, 21), 7)
+            
+            # Second, medium blur for transition areas
+            mask_roi = cv2.GaussianBlur(mask_roi, (11, 11), 3)
+            
+            # Finally, light blur for fine details
+            mask_roi = cv2.GaussianBlur(mask_roi, (5, 5), 1)
+            
+            # Normalize mask values
+            mask_roi = cv2.normalize(mask_roi, None, 0, 255, cv2.NORM_MINMAX)
+            
+            # Place the mask ROI in the full-sized mask
+            mask[min_y:max_y, min_x:max_x] = mask_roi
+            
+            # Extract the masked area from the frame
+            eyebrows_cutout = frame[min_y:max_y, min_x:max_x].copy()
+            
+            # Combine points for visualization
+            eyebrows_polygon = np.vstack([
+                left_shape + [min_x, min_y],
+                right_shape + [min_x, min_y]
+            ]).astype(np.int32)
+            
+        except Exception as e:
+            # Fallback to simple polygons if curve fitting fails
+            left_local = left_eyebrow - [min_x, min_y]
+            right_local = right_eyebrow - [min_x, min_y]
+            cv2.fillPoly(mask_roi, [left_local.astype(np.int32)], 255)
+            cv2.fillPoly(mask_roi, [right_local.astype(np.int32)], 255)
+            mask_roi = cv2.GaussianBlur(mask_roi, (21, 21), 7)
+            mask[min_y:max_y, min_x:max_x] = mask_roi
+            eyebrows_cutout = frame[min_y:max_y, min_x:max_x].copy()
+            eyebrows_polygon = np.vstack([left_eyebrow, right_eyebrow]).astype(np.int32)
+        
+    return mask, eyebrows_cutout, (min_x, min_y, max_x, max_y), eyebrows_polygon
+
+def apply_mask_area(
+    frame: np.ndarray,
+    cutout: np.ndarray,
+    box: tuple,
+    face_mask: np.ndarray,
+    polygon: np.ndarray,
+) -> np.ndarray:
+    min_x, min_y, max_x, max_y = box
+    box_width = max_x - min_x
+    box_height = max_y - min_y
+
+    if (
+        cutout is None
+        or box_width is None
+        or box_height is None
+        or face_mask is None
+        or polygon is None
+    ):
+        return frame
+
+    try:
+        resized_cutout = cv2.resize(cutout, (box_width, box_height))
+        roi = frame[min_y:max_y, min_x:max_x]
+
+        if roi.shape != resized_cutout.shape:
+            resized_cutout = cv2.resize(
+                resized_cutout, (roi.shape[1], roi.shape[0])
+            )
+
+        color_corrected_area = apply_color_transfer(resized_cutout, roi)
+
+        # Create mask for the area
+        polygon_mask = np.zeros(roi.shape[:2], dtype=np.uint8)
+        
+        # Split points for left and right parts if needed
+        if len(polygon) > 50:  # Arbitrary threshold to detect if we have multiple parts
+            mid_point = len(polygon) // 2
+            left_points = polygon[:mid_point] - [min_x, min_y]
+            right_points = polygon[mid_point:] - [min_x, min_y]
+            cv2.fillPoly(polygon_mask, [left_points], 255)
+            cv2.fillPoly(polygon_mask, [right_points], 255)
+        else:
+            adjusted_polygon = polygon - [min_x, min_y]
+            cv2.fillPoly(polygon_mask, [adjusted_polygon], 255)
+
+        # Apply strong initial feathering
+        polygon_mask = cv2.GaussianBlur(polygon_mask, (21, 21), 7)
+
+        # Apply additional feathering
+        feather_amount = min(
+            30,
+            box_width // modules.globals.mask_feather_ratio,
+            box_height // modules.globals.mask_feather_ratio,
+        )
+        feathered_mask = cv2.GaussianBlur(
+            polygon_mask.astype(float), (0, 0), feather_amount
+        )
+        feathered_mask = feathered_mask / feathered_mask.max()
+
+        # Apply additional smoothing to the mask edges
+        feathered_mask = cv2.GaussianBlur(feathered_mask, (5, 5), 1)
+
+        face_mask_roi = face_mask[min_y:max_y, min_x:max_x]
+        combined_mask = feathered_mask * (face_mask_roi / 255.0)
+
+        combined_mask = combined_mask[:, :, np.newaxis]
+        blended = (
+            color_corrected_area * combined_mask + roi * (1 - combined_mask)
+        ).astype(np.uint8)
+
+        # Apply face mask to blended result
+        face_mask_3channel = (
+            np.repeat(face_mask_roi[:, :, np.newaxis], 3, axis=2) / 255.0
+        )
+        final_blend = blended * face_mask_3channel + roi * (1 - face_mask_3channel)
+
+        frame[min_y:max_y, min_x:max_x] = final_blend.astype(np.uint8)
+    except Exception as e:
+        pass
+
+    return frame
+
+def draw_mask_visualization(
+    frame: Frame,
+    mask_data: tuple,
+    label: str,
+    draw_method: str = "polygon"
+) -> Frame:
+    mask, cutout, (min_x, min_y, max_x, max_y), polygon = mask_data
+
+    vis_frame = frame.copy()
+
+    # Ensure coordinates are within frame bounds
+    height, width = vis_frame.shape[:2]
+    min_x, min_y = max(0, min_x), max(0, min_y)
+    max_x, max_y = min(width, max_x), min(height, max_y)
+
+    if draw_method == "ellipse" and len(polygon) > 50:  # For eyes
+        # Split points for left and right parts
+        mid_point = len(polygon) // 2
+        left_points = polygon[:mid_point]
+        right_points = polygon[mid_point:]
+        
+        try:
+            # Fit ellipses to points - need at least 5 points
+            if len(left_points) >= 5 and len(right_points) >= 5:
+                # Convert points to the correct format for ellipse fitting
+                left_points = left_points.astype(np.float32)
+                right_points = right_points.astype(np.float32)
+                
+                # Fit ellipses
+                left_ellipse = cv2.fitEllipse(left_points)
+                right_ellipse = cv2.fitEllipse(right_points)
+                
+                # Draw the ellipses
+                cv2.ellipse(vis_frame, left_ellipse, (0, 255, 0), 2)
+                cv2.ellipse(vis_frame, right_ellipse, (0, 255, 0), 2)
+        except Exception as e:
+            # If ellipse fitting fails, draw simple rectangles as fallback
+            left_rect = cv2.boundingRect(left_points)
+            right_rect = cv2.boundingRect(right_points)
+            cv2.rectangle(vis_frame, 
+                        (left_rect[0], left_rect[1]), 
+                        (left_rect[0] + left_rect[2], left_rect[1] + left_rect[3]), 
+                        (0, 255, 0), 2)
+            cv2.rectangle(vis_frame,
+                        (right_rect[0], right_rect[1]),
+                        (right_rect[0] + right_rect[2], right_rect[1] + right_rect[3]),
+                        (0, 255, 0), 2)
+    else:  # For mouth and eyebrows
+        # Draw the polygon
+        if len(polygon) > 50:  # If we have multiple parts
+            mid_point = len(polygon) // 2
+            left_points = polygon[:mid_point]
+            right_points = polygon[mid_point:]
+            cv2.polylines(vis_frame, [left_points], True, (0, 255, 0), 2, cv2.LINE_AA)
+            cv2.polylines(vis_frame, [right_points], True, (0, 255, 0), 2, cv2.LINE_AA)
+        else:
+            cv2.polylines(vis_frame, [polygon], True, (0, 255, 0), 2, cv2.LINE_AA)
+
+    # Add label
+    cv2.putText(
+        vis_frame,
+        label,
+        (min_x, min_y - 10),
+        cv2.FONT_HERSHEY_SIMPLEX,
+        0.5,
+        (255, 255, 255),
+        1,
+    )
+
+    return vis_frame 
@@ -0,0 +1,9 @@
+#!/usr/bin/env python3
+
+# Import the tkinter fix to patch the ScreenChanged error
+import tkinter_fix
+
+import core
+
+if __name__ == '__main__':
+    core.run()
@@ -0,0 +1,26 @@
+import tkinter
+
+# Only needs to be imported once at the beginning of the application
+def apply_patch():
+    # Create a monkey patch for the internal _tkinter module
+    original_init = tkinter.Tk.__init__
+    
+    def patched_init(self, *args, **kwargs):
+        # Call the original init
+        original_init(self, *args, **kwargs)
+        
+        # Define the missing ::tk::ScreenChanged procedure
+        self.tk.eval("""
+        if {[info commands ::tk::ScreenChanged] == ""} {
+            proc ::tk::ScreenChanged {args} {
+                # Do nothing
+                return
+            }
+        }
+        """)
+    
+    # Apply the monkey patch
+    tkinter.Tk.__init__ = patched_init
+
+# Apply the patch automatically when this module is imported
+apply_patch() 
@@ -1,24 +1,24 @@
--extra-index-url https://download.pytorch.org/whl/cu118
+--extra-index-url https://download.pytorch.org/whl/cu128

 numpy>=1.23.5,<2
+typing-extensions>=4.8.0
 opencv-python==4.10.0.84
 cv2_enumerate_cameras==1.1.15
-onnx==1.16.0
+onnx==1.18.0
 insightface==0.7.3
 psutil==5.9.8
 tk==0.1.0
 customtkinter==5.2.2
-pillow==9.5.0
-torch==2.0.1+cu118; sys_platform != 'darwin'
-torch==2.0.1; sys_platform == 'darwin'
-torchvision==0.15.2+cu118; sys_platform != 'darwin'
-torchvision==0.15.2; sys_platform == 'darwin'
+pillow==11.1.0
+torch; sys_platform != 'darwin'
+torch==2.8.0+cu128; sys_platform == 'darwin'
+torchvision; sys_platform != 'darwin'
+torchvision==0.20.1; sys_platform == 'darwin'
 onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
-onnxruntime-gpu==1.16.3; sys_platform != 'darwin'
-tensorflow==2.12.1; sys_platform != 'darwin'
+onnxruntime-gpu==1.22.0; sys_platform != 'darwin'
+tensorflow; sys_platform != 'darwin'
 opennsfw2==0.10.2
-protobuf==4.23.2
-tqdm==4.66.4
-gfpgan==1.3.8
-tkinterdnd2==0.4.2
-pygrabber==0.2
+protobuf==4.25.1
+git+https://github.com/xinntao/BasicSR.git@master
+git+https://github.com/TencentARC/GFPGAN.git@master
+pygrabber
@@ -1,5 +1,8 @@
 #!/usr/bin/env python3

+# Import the tkinter fix to patch the ScreenChanged error
+import tkinter_fix
+
 from modules import core

 if __name__ == '__main__':
@@ -0,0 +1,26 @@
+import tkinter
+
+# Only needs to be imported once at the beginning of the application
+def apply_patch():
+    # Create a monkey patch for the internal _tkinter module
+    original_init = tkinter.Tk.__init__
+    
+    def patched_init(self, *args, **kwargs):
+        # Call the original init
+        original_init(self, *args, **kwargs)
+        
+        # Define the missing ::tk::ScreenChanged procedure
+        self.tk.eval("""
+        if {[info commands ::tk::ScreenChanged] == ""} {
+            proc ::tk::ScreenChanged {args} {
+                # Do nothing
+                return
+            }
+        }
+        """)
+    
+    # Apply the monkey patch
+    tkinter.Tk.__init__ = patched_init
+
+# Apply the patch automatically when this module is imported
+apply_patch()
Author	SHA1	Message	Date
Kenneth Estanislao	b3c4ed9250	optimization with mac Hoping this would solve the mac issues, if you're a mac user, please report if there is an improvement	2025-11-16 20:09:12 +08:00
Kenneth Estanislao	2411f1e9b1	Update Quick Start section to v2.3c	2025-11-10 15:13:04 +08:00
Kenneth Estanislao	96224efe07	Update version in Quick Start section of README	2025-11-09 23:19:40 +08:00
Kenneth Estanislao	8e05142cda	Merge pull request #1573 from phieudu241/main fix: fix typos which caused "No faces found in target" issue	2025-11-09 19:18:00 +08:00
Dung Le	a007db2ffa	fix: fix typos which cause "No faces found in target" issue	2025-11-09 15:51:14 +07:00
Kenneth Estanislao	475740b22b	Update IShowSpeed quote in README.md	2025-11-08 05:21:19 +08:00
Kenneth Estanislao	600ce34c8d	Add new quote from IShowSpeed to README	2025-11-08 05:17:54 +08:00
Kenneth Estanislao	865ab3ca02	Add Henry as a major contributor in credits	2025-11-08 05:08:55 +08:00
Kenneth Estanislao	178578b034	Merge pull request #1565 from aic1x/patch-1 Fix typo in source_target_map variable name	2025-11-06 00:08:41 +08:00
AiC	b53132f3a4	Fix typo in source_target_map variable name	2025-11-04 21:16:26 +01:00
Kenneth Estanislao	00da11b491	Merge pull request #1529 from laurensius/main Add Indonesian localization file	2025-11-04 17:46:27 +08:00
Kenneth Estanislao	b82fdc3f31	Update face_swapper.py Optimization based on @SanderGi (experimental) to improve mac FPS	2025-10-28 19:16:40 +08:00
Kenneth Estanislao	3ffa9f38b0	Add pygrabber to requirements	2025-10-16 01:32:43 +08:00
Kenneth Estanislao	3f98d4c826	Update torch and torchvision versions in requirements	2025-10-13 00:50:26 +08:00
Kenneth Estanislao	9b6ca286b9	Update Quick Start section to version 2.3 Updated the Quickstart version to 2.3	2025-10-12 23:44:21 +08:00
Kenneth Estanislao	28c60b69d1	Merge pull request #1532 from hacksider/dependabot/pip/torch-2.7.1cu128	2025-10-12 22:53:43 +08:00
dependabot[bot]	fcf547d7d2	Bump torch from 2.5.1 to 2.7.1+cu128 Bumps torch from 2.5.1 to 2.7.1+cu128. --- updated-dependencies: - dependency-name: torch dependency-version: 2.7.1+cu128 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>	2025-10-12 14:34:15 +00:00
Kenneth Estanislao	ae2d21456d	Version 2.0c Release! Sharpness and some other improvements added!	2025-10-12 22:33:09 +08:00
Laurensius Dede Suhardiman	0999c0447e	Add Indonesian localization file Create new JSON file for id locale	2025-10-11 23:29:41 +07:00
Kenneth Estanislao	f9270c5d1c	Fix installation instructions for gfpgan and basicsrs	2025-08-29 14:44:46 +08:00
Kenneth Estanislao	fdbc29c1a9	Update README.md	2025-08-11 21:37:45 +08:00
Kenneth Estanislao	87d982e6f8	Merge pull request #1435 from rugk/patch-1 Add Golem.de (German IT news magazine) article	2025-08-08 02:26:51 +08:00
rugk	cf47dabf0e	Add Golem.de (German IT news magazine) article	2025-08-06 15:43:52 +02:00
Kenneth Estanislao	d0d90ecc03	Creating a fallback and switching of models Models switch depending on the execution provider	2025-08-02 02:56:20 +08:00
Kenneth Estanislao	2b70131e6a	Update requirements.txt	2025-07-09 17:19:26 +08:00
Kenneth Estanislao	fc86365a90	Delete .yml	2025-07-02 18:37:10 +08:00
Kenneth Estanislao	1dd0e8e509	Create .yml	2025-07-02 18:29:32 +08:00
Kenneth Estanislao	4e0ff540f0	Update requirements.txt faster and better requirements	2025-07-02 04:08:26 +08:00
Kenneth Estanislao	f0fae811d8	Update requirements.txt should improve the performance by 30%	2025-06-29 15:03:35 +08:00
Kenneth Estanislao	42687f5bd9	Update README.md	2025-06-29 14:58:13 +08:00
Kenneth Estanislao	9086072b8e	Update README.md	2025-06-23 17:06:34 +08:00
KRSHH	12fda0a3ed	fix formatting	2025-06-17 18:42:36 +05:30
KRSHH	d963430854	Add techlinked link	2025-06-17 18:42:10 +05:30
KRSHH	5855d15c09	Removed outdated links	2025-06-17 18:35:24 +05:30
KRSHH	fcc73d0add	Update Download Button	2025-06-16 14:37:41 +05:30
KRSHH	8d4a386a27	Upgrade prebuilt to 2.1	2025-06-15 22:19:49 +05:30
Chittimalla Krish	b98c5234d8	Revert `8bdc14a`	2025-06-15 20:08:43 +05:30
Chittimalla Krish	8bdc14a789	Update prebuilt version	2025-06-15 17:50:38 +05:30
Kenneth Estanislao	f121083bc8	Update README.md RTX 50xx support	2025-06-15 02:22:00 +08:00
Kenneth Estanislao	745d449ca6	Update README.md support for RTX 50xx	2025-06-09 00:34:26 +08:00
Kenneth Estanislao	ec6d7d2995	Merge pull request #1327 from zjy-dev/fix/add-cudnn-installation-docs docs: add cuDNN installation guidance for CUDA	2025-06-01 12:05:04 +08:00
zjy-dev	e791f2f18a	docs: add cuDNN installation guidance for CUDA	2025-06-01 00:40:29 +08:00
KRSHH	3795e41fd7	Merge pull request #1307 from Neurofix/main ADD locale ko.json	2025-05-28 08:09:02 +05:30
KRSHH	ab8a1c82c1	Merge pull request #1310 from Jocund96/main Add Russian locale file: ru.json	2025-05-26 02:34:03 +05:30
Jasurbek Odilov	e1842ae0ba	Merge pull request #1 from Jocund96/Jocund96-patch-1 Add locale Russian	2025-05-25 21:28:57 +02:00
Jasurbek Odilov	989106e914	Add files via upload	2025-05-25 21:28:07 +02:00
Neurofix	de27fb8a81	Create ko.json Add korean	2025-05-25 14:49:54 +09:00
KRSHH	28109e93bb	Merge pull request #1297 from j-hewett/main Add Spanish translation	2025-05-21 21:44:03 +05:30
Jonah Hewett	fc312516e3	Add Spanish translation	2025-05-21 16:35:37 +01:00
Chou Chamnan	72049f3e91	Add khmer translation (#1291 ) * Add khmer language * Fix khmer language --------- Co-authored-by: Chamnan dev	2025-05-18 23:03:53 +05:30
inwchamp1337	6cb5de01f8	Added a Thai translation (#1284 ) * Added a Thai translation * Update th.json	2025-05-18 23:03:19 +05:30
KRSHH	0bcf340217	Merge pull request #1281 from Giovannapls/add/pt-br-translate [Added] pt br translate	2025-05-18 23:01:00 +05:30
Giovanna	994a63c546	[Added] pt br translate	2025-05-14 19:24:13 -03:00
Kenneth Estanislao	d5a3fb0c47	Merge pull request #1268 from jiacheng-0/main Update __init__.py	2025-05-13 00:57:09 +08:00
Teo Jia Cheng	9690070399	Update __init__.py	2025-05-13 00:14:49 +08:00
Kenneth Estanislao	f3e83b985c	Merge pull request #1210 from KunjShah01/main Update __init__.py	2025-05-12 15:14:58 +08:00
Kenneth Estanislao	e3e3638b79	Merge pull request #1232 from gboeer/patch-1 Add german localization and fix minor typos	2025-05-12 15:14:32 +08:00
VilkkuKoo	4a7874a968	Added a Finnish translation (#1255 ) * Added finnish translations * Fixed a typo	2025-05-11 03:58:53 +05:30
Gordon Böer	75122da389	Create german localization	2025-05-07 13:30:22 +02:00
Gordon Böer	7063bba4b3	fix typos in zh.json	2025-05-07 13:24:54 +02:00
Gordon Böer	bdbd7dcfbc	fix typos in ui.py	2025-05-07 13:23:31 +02:00
KUNJ SHAH	a64940def7	update	2025-05-05 13:19:46 +00:00
KUNJ SHAH	fe4a87e8f2	update	2025-05-05 13:19:29 +00:00
KUNJ SHAH	9ecd2dab83	changes	2025-05-05 13:10:00 +00:00
KUNJ SHAH	c9f36eb350	Update __init__.py	2025-05-05 18:29:44 +05:30
Kenneth Estanislao	b1f610d432	Update README.md	2025-05-05 08:30:44 +08:00
KRSHH	d86c36dc47	Change Download URL	2025-05-04 23:44:01 +05:30
Kenneth Estanislao	532e7c05ee	Merge pull request #1155 from killerlux/patch-1 Added commands for linux	2025-05-03 10:16:02 +08:00
KRSHH	267a273cb2	Download for windows	2025-05-01 22:12:55 +05:30
KRSHH	938aa9eaf1	Delete media/download.png	2025-05-01 22:11:21 +05:30
KRSHH	37bac27302	Add files via upload	2025-05-01 22:10:52 +05:30
killerlux	84836932e6	Added cmomands for linux	2025-04-30 23:09:12 +02:00
Kenneth Estanislao	e879d2ca64	Merge pull request #1094 from NeuroDonu/main fix core.py for face_enhancer and add TRT support in face_enhancer	2025-04-30 22:28:46 +08:00
Kenneth Estanislao	181144ce33	Update requirements.txt	2025-04-20 03:02:23 +08:00
NeuroDonu	890beb0eae	fix & add trt support	2025-04-19 16:03:49 +03:00
NeuroDonu	75b5b096d6	fix	2025-04-19 16:03:24 +03:00
Kenneth Estanislao	40e47a469c	Update requirements.txt	2025-04-19 03:41:00 +08:00
KRSHH	874abb4e59	v2 prebuilt	2025-04-17 09:34:10 +05:30
Kenneth Estanislao	18b259da70	Update requirements.txt improves speed by 10 to 40%	2025-04-17 02:44:24 +08:00
Kenneth Estanislao	01900dcfb5	Revert "Update metadata.py" This reverts commit `90d5c28542`.	2025-04-17 02:39:05 +08:00
Kenneth Estanislao	07e30fe781	Revert "Update face_swapper.py" This reverts commit `104d8cf4d6`.	2025-04-17 02:03:34 +08:00
Kenneth Estanislao	3dda4f2179	Update requirements.txt	2025-04-14 17:45:07 +08:00
Kenneth Estanislao	71735e4f60	Update requirements.txt update requirements.txt	2025-04-13 03:36:51 +08:00
Kenneth Estanislao	90d5c28542	Update metadata.py - 40% faster than 1.8 - compatible with 50xx GPU - onnxruntime 1.21	2025-04-13 03:34:10 +08:00
Kenneth Estanislao	104d8cf4d6	Update face_swapper.py compatibility with inswapper 1.21	2025-04-13 01:13:40 +08:00
KRSHH	ac3696b69d	remove prebuilt	2025-04-04 16:02:28 +05:30
Kenneth Estanislao	76fb209e6c	Update README.md	2025-03-29 03:28:22 +08:00
Kenneth Estanislao	2dcd552c4b	Update README.md	2025-03-29 03:23:49 +08:00
Kenneth Estanislao	66248a37b4	Merge pull request #990 from wpoPR/pr/improve-macos-installation-instructions improve macOS Apple Silicon installation instructions	2025-03-24 18:26:28 +08:00
KRSHH	aa9b7ed3b6	Add Tips and Tricks to README	2025-03-22 19:59:40 +05:30
Wesley Oliveira	51a4246050	adding uninstalling conflict python versions follow sourcery-ai and add a note about uninstalling conflicting Python versions if users encounter issues.	2025-03-21 12:37:21 -03:00
Wesley Oliveira	3f1c072fac	improve macOS Apple Silicon installation instructions Followed the `README` but ran into some errors running it locally. Made a few tweaks and got it working on my M3 PRO. Found this PR (Failing to run on Apple Silicon Mac M3) and thought improving the instructions might help others. Hope this helps! great tool guys, thx a lot	2025-03-20 16:47:01 -03:00
KRSHH	f91f9203e7	Remove Mac Edition Temporarily	2025-03-19 03:00:32 +05:30
Kenneth Estanislao	80477676b4	Merge pull request #980 from aaddyy227/main Fix face swapping crash due to None face embeddings	2025-03-16 00:03:39 +08:00
Adrian Zimbran	c728994e6b	fixed import and log message	2025-03-10 23:41:28 +02:00
Adrian Zimbran	65da3be2a4	Fix face swapping crash due to None face embeddings - Add explicit checks for face detection results (source and target faces). - Handle cases when face embeddings are not available, preventing AttributeError. - Provide meaningful log messages for easier debugging in future scenarios.	2025-03-10 23:31:56 +02:00
Kenneth Estanislao	390b88216b	Update README.md	2025-02-14 17:33:33 +08:00
Kenneth Estanislao	dabaa64695	Merge pull request #932 from harmeetsingh-work/patch-1 Update requirements.txt	2025-02-12 15:21:27 +08:00
Harmeet Singh	1fad1cd43a	Update requirements.txt Made changes for apple silicon. Or getting ERROR: Could not find a version that satisfies the requirement torch==2.5.1+cu118 (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0) ERROR: No matching distribution found for torch==2.5.1+cu118	2025-02-11 18:44:23 +05:30
Kenneth Estanislao	2f67e2f159	Update requirements.txt	2025-02-09 14:17:49 +08:00
Kenneth Estanislao	a3af249ea6	Update requirements.txt	2025-02-07 19:31:02 +08:00
Kenneth Estanislao	5bc3ada632	Update requirements.txt	2025-02-06 15:37:55 +08:00
KRSHH	650e89eb21	Reduced File Size	2025-02-06 10:40:32 +05:30
Kenneth Estanislao	4d2aea37b7	Update requirements.txt	2025-02-06 00:43:20 +08:00
Kenneth Estanislao	28c4b34db1	Merge pull request #911 from nimishgautam/main Fix cv2 size errors on first run in ui.py	2025-02-05 12:51:39 +08:00
Kenneth Estanislao	49e8f78513	Merge pull request #913 from soulee-dev/main fix: typo souce_target_map → source_target_map	2025-02-05 12:18:48 +08:00
Kenneth Estanislao	d753f5d4b0	Merge pull request #917 from carpusherw/patch-1 Fix requirements.txt	2025-02-05 12:17:42 +08:00
KRSHH	4fb69476d8	Change img dimensions	2025-02-05 12:16:08 +08:00
carpusherw	f3adfd194d	Fix requirements.txt	2025-02-05 12:16:08 +08:00
Kenneth Estanislao	e5f04cf917	Revert "Update requirements.txt" This reverts commit `d45dedc9a6`.	2025-02-05 12:08:19 +08:00
Kenneth Estanislao	67394a3157	Revert "Update requirements.txt" This reverts commit `f82cebf86e`.	2025-02-05 12:08:10 +08:00
carpusherw	186d155e1b	Fix requirements.txt	2025-02-05 09:17:11 +08:00
KRSHH	87081e78d0	Fixed typo	2025-02-04 21:20:54 +05:30
KRSHH	f79373d4db	Updated Features Section	2025-02-04 21:08:36 +05:30
Soul Lee	513e413956	fix: typo souce_target_map → source_target_map	2025-02-03 20:33:44 +09:00
Kenneth Estanislao	f82cebf86e	Update requirements.txt	2025-02-03 18:03:27 +08:00
Kenneth Estanislao	d45dedc9a6	Update requirements.txt	2025-02-03 16:38:18 +08:00
Kenneth Estanislao	2d489b57ec	Update README.md	2025-02-03 13:13:56 +08:00
Nimish Gåtam	ccc04983cf	Update ui.py removed unnecessary code as per AI code review (which is a thing now because of course it is)	2025-02-01 12:38:37 +01:00
Nimish Gåtam	2506c5a261	Update ui.py Some checks for first run when models are missing, so it doesn't error out with inv_scale_x > 0 in cv2	2025-02-01 11:52:49 +01:00
Kenneth Estanislao	e862ff1456	Update requirements.txt updated from CUDA 11.8 to CUDA 12.1	2025-02-01 12:21:55 +08:00
Kenneth Estanislao	db594c0e7c	Update README.md	2025-01-29 14:02:07 +08:00
Kenneth Estanislao	6a5b75ec45	Update README.md	2025-01-29 14:00:41 +08:00
Kenneth Estanislao	79e1ce5093	Update requirements.txt update pillow In _imagingcms.c in Pillow before 10.3.0, a buffer overflow exists because strcpy is used instead of strncpy.	2025-01-28 14:22:05 +08:00
Kenneth Estanislao	fda4878bfd	Update README.md	2025-01-20 04:38:49 +08:00
Kenneth Estanislao	5ff922e2a4	Update README.md	2025-01-18 22:50:07 +08:00
Kenneth Estanislao	9ed5a72289	Update README.md	2025-01-18 22:33:30 +08:00
KRSHH	0c8e2d5794	Changes to TLDR	2025-01-18 19:59:02 +05:30
KRSHH	a0aafbc97c	Disclaimer TLDR	2025-01-18 19:57:46 +05:30
KRSHH	f95b07423b	Moved Disclaimer to top	2025-01-18 19:53:08 +05:30
KRSHH	3947053c89	Change img dimensions	2025-01-15 22:48:21 +05:30
KRSHH	0e6a6f84f5	Updated Features Section	2025-01-15 22:45:23 +05:30
KRSHH	bb331a6db0	Add files via upload	2025-01-15 22:24:47 +05:30
KRSHH	ec48b0048f	Added Contacts	2025-01-15 01:07:16 +05:30
KRSHH	acc4812551	Added Live Show Use Case	2025-01-15 00:33:02 +05:30
KRSHH	87ee05d7b3	Uploaded Live Show GIF	2025-01-15 00:29:22 +05:30
Kenneth Estanislao	ce03dbf200	Update README.md	2025-01-14 03:32:43 +08:00
KRSHH	704aeb73b1	Added Command to install FFMPEG directly	2025-01-14 00:30:07 +05:30
KRSHH	f5c8290e1c	Update model URL	2025-01-14 00:26:03 +05:30
KRSHH	f164d9234b	Shifted Disclaimer to Bottom Its pretty much standard in any repo	2025-01-12 16:35:11 +05:30
KRSHH	74009c1d5d	Shift TL;DR under Packages	2025-01-11 21:03:26 +05:30
Kenneth Estanislao	e6a1c8dd95	Update README.md	2025-01-07 19:03:21 +08:00
Kenneth Estanislao	0e3f2c8dc0	Update README.md	2025-01-07 19:02:46 +08:00
Kenneth Estanislao	464dc2a0aa	Update README.md	2025-01-07 18:56:54 +08:00
Kenneth Estanislao	a05754fb28	Update README.md	2025-01-07 18:55:21 +08:00
Kenneth Estanislao	9727f34923	Update README.md	2025-01-07 18:52:24 +08:00
Kenneth Estanislao	a86544a4b4	Update README.md	2025-01-07 18:48:03 +08:00
Kenneth Estanislao	979da7aa1d	Update README.md	2025-01-07 18:33:22 +08:00
Kenneth Estanislao	4a37bb2a97	Update README.md	2025-01-07 18:32:52 +08:00
Kenneth Estanislao	21d3c8766a	Merge pull request #879 from hacksider/premain Premain	2025-01-07 18:12:47 +08:00
Kenneth Estanislao	ee19c5158a	Merge pull request #877 from qitianai/add-lang Add multi language UI	2025-01-07 17:57:10 +08:00
qitianai	693c9bb268	Merge pull request #1 from hacksider/main merge from source main branch	2025-01-07 15:01:00 +08:00
qitian	5132f86cdc	add mutil language	2025-01-07 14:04:18 +08:00
Kenneth Estanislao	cab2efa200	Update README.md added qitianai on the credits	2025-01-07 13:48:42 +08:00
qitian	6e29e4061b	merge from the source and little change	2025-01-07 13:46:17 +08:00
KRSHH	2a7ae010a8	Raised img Res	2025-01-06 23:53:18 +05:30
KRSHH	a834811974	Add URL to buttons Forgot to add before (regarded)	2025-01-06 23:23:19 +05:30
KRSHH	d2aaf46e69	Change buttons	2025-01-06 23:13:57 +05:30
Makaru	d07d4a6a26	Update ui.py I pushed it to premain	2025-01-07 01:15:05 +08:00
KRSHH	09f0343639	Shifted features section under Quick start	2025-01-06 18:16:44 +05:30
KRSHH	75913c513e	Decreased Disclaimer's Font Size	2025-01-06 18:02:51 +05:30
KRSHH	7f38539508	Fix Grammar in README	2025-01-06 17:51:00 +05:30
Kenneth Estanislao	b38831dfdf	Revert "Merge pull request #868 from kier007/main" This reverts commit `c03f697729`, reversing changes made to `d8a5cdbc19`.	2025-01-06 14:14:21 +08:00
Kenneth Estanislao	b518f4337d	Revert "Merge pull request #869 from kier007/patch-1" This reverts commit `b38ef62447`, reversing changes made to `c03f697729`.	2025-01-06 14:14:04 +08:00
KRSHH	aed933c1db	Update branches Update Branches	2024-12-29 21:44:57 +05:30