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update branch
2025-02-03 20:59:06 +05:30 · 2025-01-31 22:32:47 +05:30 · 2025-01-30 20:20:04 +05:30 · 2025-01-30 20:14:16 +05:30 · 2025-01-30 20:04:31 +05:30 · 2025-01-30 19:58:15 +05:30
33 changed files with 839 additions and 2393 deletions
@@ -0,0 +1 @@
+3.10.0
@@ -1,4 +1,4 @@
-<h1 align="center">Deep-Live-Cam 2.0.2c</h1>
+<h1 align="center">Deep-Live-Cam</h1>

 <p align="center">
  Real-time face swap and video deepfake with a single click and only a single image.
@@ -30,13 +30,18 @@ By using this software, you agree to these terms and commit to using it in a man

 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 v2.4 Quick Start - Pre-built (Windows/Mac Silicon)

-  <a href="https://deeplivecam.net/index.php/quickstart"> <img src="media/Download.png" width="285" height="77" />
+## Quick Start - Pre-built (Windows / Nvidia)

-##### 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.
+  <a href="https://hacksider.gumroad.com/l/vccdmm"> <img src="https://github.com/user-attachments/assets/7d993b32-e3e8-4cd3-bbfb-a549152ebdd5" width="285" height="77" />
+
+##### This is the fastest build you can get if you have a discrete NVIDIA GPU.
+
+## Quick Start - Pre-built (Mac / Silicon)
+    
+  <a href="https://krshh.gumroad.com/l/Deep-Live-Cam-Mac"> <img src="https://github.com/user-attachments/assets/d5d913b5-a7de-4609-96b9-979a5749a703" width="285" height="77" />
 
-###### 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. 
+###### 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)
@@ -44,7 +49,7 @@ Users are expected to use this software responsibly and legally. If using a real
 2. Select which camera to use
 3. Press live!

-## Features & Uses - Everything is in real-time
+## Features & Uses - Everything is real-time

 ### Mouth Mask

@@ -80,7 +85,7 @@ Users are expected to use this software responsibly and legally. If using a real

 ### Memes

-**Create Your Most Viral Meme Yet**
+**Create Your most viral meme yet**

 <p align="center">
  <img src="media/meme.gif" alt="show" width="450"> 
@@ -88,17 +93,10 @@ Users are expected to use this software responsibly and legally. If using a real
  <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 requires technical skills and is not for beginners. Consider downloading the quickstart version.**
+**Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the prebuilt version.**

 <details>
 <summary>Click to see the process</summary>
@@ -109,7 +107,7 @@ This is more likely to work on your computer but will be slower as it utilizes t

 **1. Set up Your Platform**

-   Python (3.11 recommended)
+-   Python (3.10 recommended)
 -   pip
 -   git
 -   [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) - ```iex (irm ffmpeg.tc.ht)```
@@ -118,8 +116,7 @@ This is more likely to work on your computer but will be slower as it utilizes t
 **2. Clone the Repository**

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

 **3. Download the Models**
@@ -133,57 +130,14 @@ 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:**
-
-Apple Silicon (M1/M2/M3) requires specific setup:
+**For macOS:** Install or upgrade the `python-tk` package:

 ```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).
@@ -192,16 +146,12 @@ pip install git+https://github.com/TencentARC/GFPGAN.git@master

 **CUDA Execution Provider (Nvidia)**

-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:
+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:

 ```bash
-pip install -U torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
 pip uninstall onnxruntime onnxruntime-gpu
-pip install onnxruntime-gpu==1.21.0
+pip install onnxruntime-gpu==1.16.3
 ```

 3. Usage:
@@ -212,46 +162,26 @@ python run.py --execution-provider cuda

 **CoreML Execution Provider (Apple Silicon)**

-Apple Silicon (M1/M2/M3) specific installation:
-
-1. Make sure you've completed the macOS setup above using Python 3.10.
-2. Install dependencies:
+1. Install dependencies:

 ```bash
 pip uninstall onnxruntime onnxruntime-silicon
 pip install onnxruntime-silicon==1.13.1
 ```

-3. Usage (important: specify Python 3.10):
+2. Usage:

 ```bash
-python3.10 run.py --execution-provider coreml
+python 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==1.21.0
+pip install onnxruntime-coreml==1.13.1
 ```

 2. Usage:
@@ -266,7 +196,7 @@ python run.py --execution-provider coreml

 ```bash
 pip uninstall onnxruntime onnxruntime-directml
-pip install onnxruntime-directml==1.21.0
+pip install onnxruntime-directml==1.15.1
 ```

 2. Usage:
@@ -281,7 +211,7 @@ python run.py --execution-provider directml

 ```bash
 pip uninstall onnxruntime onnxruntime-openvino
-pip install onnxruntime-openvino==1.21.0
+pip install onnxruntime-openvino==1.15.0
 ```

 2. Usage:
@@ -289,6 +219,7 @@ pip install onnxruntime-openvino==1.21.0
 ```bash
 python run.py --execution-provider openvino
 ```
+
 </details>

 ## Usage
@@ -352,15 +283,10 @@ 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
-   [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
@@ -387,3 +313,5 @@ Looking for a CLI mode? Using the -s/--source argument will make the run program
   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hacksider/deep-live-cam&type=Date" />
 </picture>
 </a>
+
+
@@ -1,46 +0,0 @@
-{
-    "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."
-}
@@ -1,46 +0,0 @@
-{
-    "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."
-}
@@ -1,46 +0,0 @@
-{
-    "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."
-}
@@ -1,45 +0,0 @@
-{
-    "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."
-}
@@ -1,45 +0,0 @@
-{
-    "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។"
-}
@@ -1,45 +0,0 @@
-{
-    "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."
-}
@@ -1,46 +0,0 @@
-{
-    "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."
-}
@@ -1,45 +0,0 @@
-{
-    "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."
-}
@@ -1,45 +0,0 @@
-{
-    "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"
-}
@@ -1,11 +1,11 @@
 {
    "Source x Target Mapper": "Source x Target Mapper",
-    "select a source image": "选择一个源图像",
+    "select an 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",
+    "select an 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",
+    "select an 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",
@@ -36,11 +36,11 @@
    "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！",
+    "Atleast 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。"
-}
+}
@@ -1,18 +0,0 @@
-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
@@ -20,6 +20,7 @@ import modules.metadata
 import modules.ui as ui
 from modules.processors.frame.core import get_frame_processors_modules
 from modules.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path
+from modules.fake_face_handler import cleanup_fake_face

 if 'ROCMExecutionProvider' in modules.globals.execution_providers:
    del torch
@@ -35,9 +36,7 @@ def parse_args() -> None:
    program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
    program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
    program.add_argument('--frame-processor', help='pipeline of frame processors', dest='frame_processor', default=['face_swapper'], choices=['face_swapper', 'face_enhancer'], nargs='+')
-    program.add_argument('--keep-fps', help='keep original fps', dest='keep_fps', action='store_true', default=False)
    program.add_argument('--keep-audio', help='keep original audio', dest='keep_audio', action='store_true', default=True)
-    program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true', default=False)
    program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False)
    program.add_argument('--nsfw-filter', help='filter the NSFW image or video', dest='nsfw_filter', action='store_true', default=False)
    program.add_argument('--map-faces', help='map source target faces', dest='map_faces', action='store_true', default=False)
@@ -65,9 +64,9 @@ def parse_args() -> None:
    modules.globals.output_path = normalize_output_path(modules.globals.source_path, modules.globals.target_path, args.output_path)
    modules.globals.frame_processors = args.frame_processor
    modules.globals.headless = args.source_path or args.target_path or args.output_path
-    modules.globals.keep_fps = args.keep_fps
+    modules.globals.keep_fps = True
+    modules.globals.keep_frames = True
    modules.globals.keep_audio = args.keep_audio
-    modules.globals.keep_frames = args.keep_frames
    modules.globals.many_faces = args.many_faces
    modules.globals.mouth_mask = args.mouth_mask
    modules.globals.nsfw_filter = args.nsfw_filter
@@ -129,22 +128,11 @@ def suggest_execution_providers() -> List[str]:


 def suggest_execution_threads() -> int:
-    """Suggest optimal thread count based on hardware and execution provider."""
-    import os
-    
-    # Get CPU count
-    cpu_count = os.cpu_count() or 4
-    
    if 'DmlExecutionProvider' in modules.globals.execution_providers:
        return 1
    if 'ROCMExecutionProvider' in modules.globals.execution_providers:
        return 1
-    if 'CUDAExecutionProvider' in modules.globals.execution_providers:
-        # For CUDA, use more threads for parallel frame processing
-        return min(cpu_count, 16)
-    
-    # For CPU execution, use most cores but leave some for system
-    return max(4, min(cpu_count - 2, 16))
+    return 8


 def limit_resources() -> None:
@@ -187,16 +175,10 @@ def update_status(message: str, scope: str = 'DLC.CORE') -> None:
        ui.update_status(message)

 def start() -> None:
-    """Start processing with performance monitoring."""
-    import time
-    
-    start_time = time.time()
-    
    for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
        if not frame_processor.pre_start():
            return
    update_status('Processing...')
-    
    # process image to image
    if has_image_extension(modules.globals.target_path):
        if modules.globals.nsfw_filter and ui.check_and_ignore_nsfw(modules.globals.target_path, destroy):
@@ -210,40 +192,26 @@ def start() -> None:
            frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path)
            release_resources()
        if is_image(modules.globals.target_path):
-            elapsed = time.time() - start_time
-            update_status(f'Processing to image succeed! (Time: {elapsed:.2f}s)')
+            update_status('Processing to image succeed!')
        else:
            update_status('Processing to image failed!')
        return
-    
    # process image to videos
    if modules.globals.nsfw_filter and ui.check_and_ignore_nsfw(modules.globals.target_path, destroy):
        return

-    extraction_start = time.time()
    if not modules.globals.map_faces:
        update_status('Creating temp resources...')
        create_temp(modules.globals.target_path)
        update_status('Extracting frames...')
        extract_frames(modules.globals.target_path)
-    extraction_time = time.time() - extraction_start
-    update_status(f'Frame extraction completed in {extraction_time:.2f}s')

    temp_frame_paths = get_temp_frame_paths(modules.globals.target_path)
-    total_frames = len(temp_frame_paths)
-    update_status(f'Processing {total_frames} frames with {modules.globals.execution_threads} threads...')
-    
-    processing_start = time.time()
    for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
        update_status('Progressing...', frame_processor.NAME)
        frame_processor.process_video(modules.globals.source_path, temp_frame_paths)
        release_resources()
-    processing_time = time.time() - processing_start
-    fps_processing = total_frames / processing_time if processing_time > 0 else 0
-    update_status(f'Frame processing completed in {processing_time:.2f}s ({fps_processing:.2f} fps)')
-    
    # handles fps
-    encoding_start = time.time()
    if modules.globals.keep_fps:
        update_status('Detecting fps...')
        fps = detect_fps(modules.globals.target_path)
@@ -252,9 +220,6 @@ def start() -> None:
    else:
        update_status('Creating video with 30.0 fps...')
        create_video(modules.globals.target_path)
-    encoding_time = time.time() - encoding_start
-    update_status(f'Video encoding completed in {encoding_time:.2f}s')
-    
    # handle audio
    if modules.globals.keep_audio:
        if modules.globals.keep_fps:
@@ -264,13 +229,10 @@ def start() -> None:
        restore_audio(modules.globals.target_path, modules.globals.output_path)
    else:
        move_temp(modules.globals.target_path, modules.globals.output_path)
-    
    # clean and validate
    clean_temp(modules.globals.target_path)
-    
-    total_time = time.time() - start_time
    if is_video(modules.globals.target_path):
-        update_status(f'Processing to video succeed! Total time: {total_time:.2f}s')
+        update_status('Processing to video succeed!')
    else:
        update_status('Processing to video failed!')

@@ -278,6 +240,7 @@ def start() -> None:
 def destroy(to_quit=True) -> None:
    if modules.globals.target_path:
        clean_temp(modules.globals.target_path)
+    cleanup_fake_face()
    if to_quit: quit()


@@ -1,7 +0,0 @@
-from typing import Any
-
-from insightface.app.common import Face
-import numpy
- 
-Face = Face
-Frame = numpy.ndarray[Any, Any] 
@@ -2,7 +2,6 @@ import os
 import shutil
 from typing import Any
 import insightface
-import threading

 import cv2
 import numpy as np
@@ -14,22 +13,14 @@ from modules.utilities import get_temp_directory_path, create_temp, extract_fram
 from pathlib import Path

 FACE_ANALYSER = None
-FACE_ANALYSER_LOCK = threading.Lock()


 def get_face_analyser() -> Any:
-    """Get face analyser with thread-safe initialization."""
    global FACE_ANALYSER

    if FACE_ANALYSER is None:
-        with FACE_ANALYSER_LOCK:
-            # Double-check after acquiring lock
-            if FACE_ANALYSER is None:
-                FACE_ANALYSER = insightface.app.FaceAnalysis(
-                    name='buffalo_l',
-                    providers=modules.globals.execution_providers
-                )
-                FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
+        FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=modules.globals.execution_providers)
+        FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
    return FACE_ANALYSER


@@ -48,13 +39,13 @@ def get_many_faces(frame: Frame) -> Any:
        return None

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

 def default_source_face() -> Any:
-    for map in modules.globals.source_target_map:
+    for map in modules.globals.souce_target_map:
        if "source" in map:
            return map['source']['face']
    return None
@@ -62,7 +53,7 @@ def default_source_face() -> Any:
 def simplify_maps() -> Any:
    centroids = []
    faces = []
-    for map in modules.globals.source_target_map:
+    for map in modules.globals.souce_target_map:
        if "source" in map and "target" in map:
            centroids.append(map['target']['face'].normed_embedding)
            faces.append(map['source']['face'])
@@ -73,10 +64,10 @@ def simplify_maps() -> Any:
 def add_blank_map() -> Any:
    try:
        max_id = -1
-        if len(modules.globals.source_target_map) > 0:
-            max_id = max(modules.globals.source_target_map, key=lambda x: x['id'])['id']
+        if len(modules.globals.souce_target_map) > 0:
+            max_id = max(modules.globals.souce_target_map, key=lambda x: x['id'])['id']

-        modules.globals.source_target_map.append({
+        modules.globals.souce_target_map.append({
                'id' : max_id + 1
                })
    except ValueError:
@@ -84,14 +75,14 @@ def add_blank_map() -> Any:
    
 def get_unique_faces_from_target_image() -> Any:
    try:
-        modules.globals.source_target_map = []
+        modules.globals.souce_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.source_target_map.append({
+            modules.globals.souce_target_map.append({
                'id' : i, 
                'target' : {
                            'cv2' : target_frame[int(y_min):int(y_max), int(x_min):int(x_max)],
@@ -105,7 +96,7 @@ def get_unique_faces_from_target_image() -> Any:
    
 def get_unique_faces_from_target_video() -> Any:
    try:
-        modules.globals.source_target_map = []
+        modules.globals.souce_target_map = []
        frame_face_embeddings = []
        face_embeddings = []
    
@@ -136,7 +127,7 @@ def get_unique_faces_from_target_video() -> Any:
                face['target_centroid'] = closest_centroid_index

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

@@ -144,7 +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.source_target_map[i]['target_faces_in_frame'] = temp
+            modules.globals.souce_target_map[i]['target_faces_in_frame'] = temp

        # dump_faces(centroids, frame_face_embeddings)
        default_target_face()
@@ -153,7 +144,7 @@ def get_unique_faces_from_target_video() -> Any:
    

 def default_target_face():
-    for map in modules.globals.source_target_map:
+    for map in modules.globals.souce_target_map:
        best_face = None
        best_frame = None
        for frame in map['target_faces_in_frame']:
@@ -0,0 +1,120 @@
+import os
+import requests
+import tempfile
+from pathlib import Path
+import cv2
+import numpy as np
+import modules.globals
+
+def add_padding_to_face(image, padding_ratio=0.3):
+    """Add padding around the face image
+    
+    Args:
+        image: The input face image
+        padding_ratio: Amount of padding to add as a ratio of image dimensions
+        
+    Returns:
+        Padded image with background padding added
+    """
+    if image is None:
+        return None
+        
+    height, width = image.shape[:2]
+    pad_x = int(width * padding_ratio)
+    pad_y = int(height * padding_ratio)
+    
+    # Create larger image with padding
+    padded_height = height + 2 * pad_y
+    padded_width = width + 2 * pad_x
+    padded_image = np.zeros((padded_height, padded_width, 3), dtype=np.uint8)
+    
+    # Fill padded area with blurred and darkened edge pixels
+    edge_color = cv2.blur(image, (15, 15))
+    edge_color = (edge_color * 0.6).astype(np.uint8)  # Darken the padding
+    
+    # Fill the padded image with original face
+    padded_image[pad_y:pad_y+height, pad_x:pad_x+width] = image
+    
+    # Fill padding areas with edge color
+    # Top padding - repeat first row
+    top_edge = edge_color[0, :, :]
+    for i in range(pad_y):
+        padded_image[i, pad_x:pad_x+width] = top_edge
+        
+    # Bottom padding - repeat last row
+    bottom_edge = edge_color[-1, :, :]
+    for i in range(pad_y):
+        padded_image[pad_y+height+i, pad_x:pad_x+width] = bottom_edge
+        
+    # Left padding - repeat first column
+    left_edge = edge_color[:, 0, :]
+    for i in range(pad_x):
+        padded_image[pad_y:pad_y+height, i] = left_edge
+        
+    # Right padding - repeat last column
+    right_edge = edge_color[:, -1, :]
+    for i in range(pad_x):
+        padded_image[pad_y:pad_y+height, pad_x+width+i] = right_edge
+        
+    # Fill corners with nearest edge colors
+    # Top-left corner
+    padded_image[:pad_y, :pad_x] = edge_color[0, 0, :]
+    # Top-right corner
+    padded_image[:pad_y, pad_x+width:] = edge_color[0, -1, :]
+    # Bottom-left corner
+    padded_image[pad_y+height:, :pad_x] = edge_color[-1, 0, :]
+    # Bottom-right corner
+    padded_image[pad_y+height:, pad_x+width:] = edge_color[-1, -1, :]
+    
+    return padded_image
+
+def get_fake_face() -> str:
+    """Fetch a face from thispersondoesnotexist.com and save it temporarily"""
+    try:
+        # Create temp directory if it doesn't exist
+        temp_dir = Path(tempfile.gettempdir()) / "deep-live-cam"
+        temp_dir.mkdir(parents=True, exist_ok=True)
+        
+        # Generate temp file path
+        temp_file = temp_dir / "fake_face.jpg"
+        
+        # Basic headers to mimic a browser request
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
+        }
+        
+        # Fetch the image
+        response = requests.get('https://thispersondoesnotexist.com', headers=headers)
+        
+        if response.status_code == 200:
+            # Read image from response
+            image_array = np.asarray(bytearray(response.content), dtype=np.uint8)
+            image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+            
+            # Add padding around the face
+            padded_image = add_padding_to_face(image)
+            
+            # Save the padded image
+            cv2.imwrite(str(temp_file), padded_image)
+            return str(temp_file)
+        else:
+            print(f"Failed to fetch fake face: {response.status_code}")
+            return None
+    except Exception as e:
+        print(f"Error fetching fake face: {str(e)}")
+        return None
+
+def cleanup_fake_face():
+    """Clean up the temporary fake face image"""
+    try:
+        if modules.globals.fake_face_path and os.path.exists(modules.globals.fake_face_path):
+            os.remove(modules.globals.fake_face_path)
+            modules.globals.fake_face_path = None
+    except Exception as e:
+        print(f"Error cleaning up fake face: {str(e)}")
+
+def refresh_fake_face():
+    """Refresh the fake face image"""
+    cleanup_fake_face()
+    modules.globals.fake_face_path = get_fake_face()
+    return modules.globals.fake_face_path is not None 
@@ -1,5 +1,3 @@
-# --- START OF FILE globals.py ---
-
 import os
 from typing import List, Dict, Any

@@ -11,62 +9,44 @@ file_types = [
    ("Video", ("*.mp4", "*.mkv")),
 ]

-# 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
+souce_target_map = []
+simple_map = {}

-# Paths
-source_path: str | None = None
-target_path: str | None = None
-output_path: str | None = None
-
-# Processing Options
+source_path = None
+target_path = None
+output_path = None
 frame_processors: List[str] = []
-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
-poisson_blend: bool = False      # Enable Poisson Blending for smoother face 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)
+keep_fps = True
+keep_audio = True
+keep_frames = False
+many_faces = False
+map_faces = False
+color_correction = False
+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"
 fp_ui: Dict[str, bool] = {"face_enhancer": False}
-
-# 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 ---
+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
+mouth_mask_size = 1.0
+eyes_mask = False
+show_eyes_mask_box = False
+eyebrows_mask = False
+show_eyebrows_mask_box = False
+eyes_mask_size = 1.0
+eyebrows_mask_size = 1.0
+use_fake_face = False
+fake_face_path = None
@@ -1,3 +1,3 @@
 name = 'Deep-Live-Cam'
-version = '2.0.3c'
-edition = 'GitHub Edition'
+version = '1.8'
+edition = 'GitHub Edition'
@@ -42,54 +42,27 @@ 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 current_processor_names:
+        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:
            try:
                frame_processor_module = load_frame_processor_module(frame_processor)
-                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}")
+                FRAME_PROCESSORS_MODULES.remove(frame_processor_module)
+                modules.globals.frame_processors.remove(frame_processor)
+            except:
+                pass

 def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
-    """Process frames in parallel with optimized batching and memory management."""
-    max_workers = modules.globals.execution_threads
-    
-    # Determine optimal batch size based on available memory and thread count
-    # Process frames in batches to avoid memory overflow
-    batch_size = max(1, min(32, len(temp_frame_paths) // max(1, max_workers)))
-    
-    with ThreadPoolExecutor(max_workers=max_workers) as executor:
-        # Process in batches to manage memory better
-        for i in range(0, len(temp_frame_paths), batch_size):
-            batch = temp_frame_paths[i:i + batch_size]
-            futures = []
-            
-            for path in batch:
-                future = executor.submit(process_frames, source_path, [path], progress)
-                futures.append(future)
-            
-            # Wait for batch to complete before starting next batch
-            for future in futures:
-                try:
-                    future.result()
-                except Exception as e:
-                    print(f"Error processing frame: {e}")
+    with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:
+        futures = []
+        for path in temp_frame_paths:
+            future = executor.submit(process_frames, source_path, [path], progress)
+            futures.append(future)
+        for future in futures:
+            future.result()


 def process_video(source_path: str, frame_paths: list[str], process_frames: Callable[[str, List[str], Any], None]) -> None:
@@ -1,18 +1,16 @@
-# --- 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,
@@ -51,156 +49,61 @@ 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")
-            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.")
+            
+            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]

    return FACE_ENHANCER


 def enhance_face(temp_frame: Frame) -> 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
+    with THREAD_SEMAPHORE:
+        _, _, temp_frame = get_face_enhancer().enhance(temp_frame, paste_back=True)
+    return 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)
+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)
    return temp_frame


 def process_frames(
-    source_path: str | None, temp_frame_paths: List[str], progress: Any = None
+    source_path: str, 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)
-        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)
+        result = process_frame(None, temp_frame)
+        cv2.imwrite(temp_frame_path, result)
        if progress:
            progress.update(1)


-def process_image(source_path: str | None, target_path: str, output_path: str) -> None:
-    """Processes a single image file."""
+def process_image(source_path: str, target_path: str, output_path: str) -> None:
    target_frame = cv2.imread(target_path)
-    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}")
+    result = process_frame(None, target_frame)
+    cv2.imwrite(output_path, result)


-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)
+def process_video(source_path: str, temp_frame_paths: List[str]) -> None:
+    modules.processors.frame.core.process_video(None, 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

-# --- END OF FILE face_enhancer.py ---
+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
@@ -39,13 +39,37 @@ def create_face_mask(face: Face, frame: Frame) -> np.ndarray:
        left_eye = landmarks[87:96]
        left_eye_brow = landmarks[97:105]

+        # Calculate forehead extension
+        right_eyebrow_top = np.min(right_eye_brow[:, 1])
+        left_eyebrow_top = np.min(left_eye_brow[:, 1])
+        eyebrow_top = min(right_eyebrow_top, left_eyebrow_top)
+
+        face_top = np.min([right_side_face[0, 1], left_side_face[-1, 1]])
+        forehead_height = face_top - eyebrow_top
+        extended_forehead_height = int(forehead_height * 5.0)  # Extend by 50%
+
+        # Create forehead points
+        forehead_left = right_side_face[0].copy()
+        forehead_right = left_side_face[-1].copy()
+        forehead_left[1] -= extended_forehead_height
+        forehead_right[1] -= extended_forehead_height
+
+        # Combine all points to create the face outline
+        face_outline = np.vstack(
+            [
+                [forehead_left],
+                right_side_face,
+                left_side_face[::-1],  # Reverse left side to create a continuous outline
+                [forehead_right],
+            ]
+        )
+
        # 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
-        face_outline = landmarks[0:33]
        hull = cv2.convexHull(face_outline)
        hull_padded = []
        for point in hull:
@@ -71,30 +95,77 @@ def create_lower_mouth_mask(
 ) -> (np.ndarray, np.ndarray, tuple, np.ndarray):
    mask = np.zeros(frame.shape[:2], dtype=np.uint8)
    mouth_cutout = None
-    lower_lip_polygon = None
-    mouth_box = (0,0,0,0)
-
    landmarks = face.landmark_2d_106
    if landmarks is not None:
-        # Use outer mouth landmarks (52-63) to capture the lips only
-        lower_lip_order = list(range(52, 64))
-        
-        if max(lower_lip_order) >= landmarks.shape[0]:
-            return mask, mouth_cutout, mouth_box, lower_lip_polygon
-
-        lower_lip_landmarks = landmarks[lower_lip_order].astype(np.float32)
+        #                  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
-        # Use a more conservative expansion to avoid affecting face shape
        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

-        # Removed specific top/chin extensions to preserve face shape
+        # 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)
@@ -119,9 +190,7 @@ def create_lower_mouth_mask(

        # Create the mask
        mask_roi = np.zeros((max_y - min_y, max_x - min_x), dtype=np.uint8)
-        # Shift polygon coordinates relative to the ROI's top-left corner
-        polygon_relative_to_roi = expanded_landmarks - [min_x, min_y]
-        cv2.fillPoly(mask_roi, [polygon_relative_to_roi], 255)
+        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)
@@ -134,9 +203,8 @@ def create_lower_mouth_mask(

        # Return the expanded lower lip polygon in original frame coordinates
        lower_lip_polygon = expanded_landmarks
-        mouth_box = (min_x, min_y, max_x, max_y)

-    return mask, mouth_cutout, mouth_box, lower_lip_polygon
+    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)
@@ -563,4 +631,4 @@ def draw_mask_visualization(
        1,
    )

-    return vis_frame
+    return vis_frame 
@@ -1,9 +0,0 @@
-#!/usr/bin/env python3
-
-# Import the tkinter fix to patch the ScreenChanged error
-import tkinter_fix
-
-import core
-
-if __name__ == '__main__':
-    core.run()
@@ -1,26 +0,0 @@
-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() 
@@ -3,7 +3,7 @@ import webbrowser
 import customtkinter as ctk
 from typing import Callable, Tuple
 import cv2
-from cv2_enumerate_cameras import enumerate_cameras  # Add this import
+from cv2_enumerate_cameras import enumerate_cameras
 from PIL import Image, ImageOps
 import time
 import json
@@ -27,8 +27,8 @@ from modules.utilities import (
 )
 from modules.video_capture import VideoCapturer
 from modules.gettext import LanguageManager
-from modules import globals
 import platform
+from modules.fake_face_handler import cleanup_fake_face, refresh_fake_face

 if platform.system() == "Windows":
    from pygrabber.dshow_graph import FilterGraph
@@ -36,7 +36,7 @@ if platform.system() == "Windows":
 ROOT = None
 POPUP = None
 POPUP_LIVE = None
-ROOT_HEIGHT = 800
+ROOT_HEIGHT = 730
 ROOT_WIDTH = 600

 PREVIEW = None
@@ -79,9 +79,12 @@ target_label_dict_live = {}

 img_ft, vid_ft = modules.globals.file_types

+fake_face_switch = None
+fake_face_value = None
+

 def init(start: Callable[[], None], destroy: Callable[[], None], lang: str) -> ctk.CTk:
-    global ROOT, PREVIEW, _
+    global ROOT, PREVIEW, _, fake_face_switch, fake_face_value

    lang_manager = LanguageManager(lang)
    _ = lang_manager._
@@ -92,53 +95,56 @@ def init(start: Callable[[], None], destroy: Callable[[], None], lang: str) -> c


 def save_switch_states():
-    switch_states = {
-        "keep_fps": modules.globals.keep_fps,
-        "keep_audio": modules.globals.keep_audio,
-        "keep_frames": modules.globals.keep_frames,
-        "many_faces": modules.globals.many_faces,
-        "map_faces": modules.globals.map_faces,
-        "poisson_blend": modules.globals.poisson_blend,
-        "color_correction": modules.globals.color_correction,
-        "nsfw_filter": modules.globals.nsfw_filter,
-        "live_mirror": modules.globals.live_mirror,
-        "live_resizable": modules.globals.live_resizable,
-        "fp_ui": modules.globals.fp_ui,
-        "show_fps": modules.globals.show_fps,
-        "mouth_mask": modules.globals.mouth_mask,
-        "show_mouth_mask_box": modules.globals.show_mouth_mask_box,
-    }
-    with open("switch_states.json", "w") as f:
-        json.dump(switch_states, f)
+    try:
+        states = {
+            "keep_fps": modules.globals.keep_fps,
+            "keep_audio": modules.globals.keep_audio,
+            "keep_frames": modules.globals.keep_frames,
+            "many_faces": modules.globals.many_faces,
+            "map_faces": modules.globals.map_faces,
+            "color_correction": modules.globals.color_correction,
+            "nsfw_filter": modules.globals.nsfw_filter,
+            "live_mirror": modules.globals.live_mirror,
+            "live_resizable": modules.globals.live_resizable,
+            "fp_ui": modules.globals.fp_ui,
+            "show_fps": modules.globals.show_fps,
+            "mouth_mask": modules.globals.mouth_mask,
+            "show_mouth_mask_box": modules.globals.show_mouth_mask_box,
+            "use_fake_face": modules.globals.use_fake_face
+        }
+        with open(get_config_path(), 'w') as f:
+            json.dump(states, f)
+    except Exception as e:
+        print(f"Error saving switch states: {str(e)}")


 def load_switch_states():
    try:
-        with open("switch_states.json", "r") as f:
-            switch_states = json.load(f)
-        modules.globals.keep_fps = switch_states.get("keep_fps", True)
-        modules.globals.keep_audio = switch_states.get("keep_audio", True)
-        modules.globals.keep_frames = switch_states.get("keep_frames", False)
-        modules.globals.many_faces = switch_states.get("many_faces", False)
-        modules.globals.map_faces = switch_states.get("map_faces", False)
-        modules.globals.poisson_blend = switch_states.get("poisson_blend", False)
-        modules.globals.color_correction = switch_states.get("color_correction", False)
-        modules.globals.nsfw_filter = switch_states.get("nsfw_filter", False)
-        modules.globals.live_mirror = switch_states.get("live_mirror", False)
-        modules.globals.live_resizable = switch_states.get("live_resizable", False)
-        modules.globals.fp_ui = switch_states.get("fp_ui", {"face_enhancer": False})
-        modules.globals.show_fps = switch_states.get("show_fps", False)
-        modules.globals.mouth_mask = switch_states.get("mouth_mask", False)
-        modules.globals.show_mouth_mask_box = switch_states.get(
-            "show_mouth_mask_box", False
-        )
-    except FileNotFoundError:
-        # If the file doesn't exist, use default values
-        pass
+        if os.path.exists(get_config_path()):
+            with open(get_config_path(), 'r') as f:
+                states = json.load(f)
+                modules.globals.keep_fps = states.get("keep_fps", True)
+                modules.globals.keep_audio = states.get("keep_audio", True)
+                modules.globals.keep_frames = states.get("keep_frames", False)
+                modules.globals.many_faces = states.get("many_faces", False)
+                modules.globals.map_faces = states.get("map_faces", False)
+                modules.globals.color_correction = states.get("color_correction", False)
+                modules.globals.nsfw_filter = states.get("nsfw_filter", False)
+                modules.globals.live_mirror = states.get("live_mirror", False)
+                modules.globals.live_resizable = states.get("live_resizable", False)
+                modules.globals.fp_ui = states.get("fp_ui", {"face_enhancer": False})
+                modules.globals.show_fps = states.get("show_fps", False)
+                modules.globals.mouth_mask = states.get("mouth_mask", False)
+                modules.globals.show_mouth_mask_box = states.get(
+                    "show_mouth_mask_box", False
+                )
+                modules.globals.use_fake_face = False
+    except Exception as e:
+        print(f"Error loading switch states: {str(e)}")


 def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
-    global source_label, target_label, status_label, show_fps_switch
+    global source_label, target_label, status_label, show_fps_switch, fake_face_switch, fake_face_value

    load_switch_states()

@@ -153,22 +159,28 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
    )
    root.configure()
    root.protocol("WM_DELETE_WINDOW", lambda: destroy())
+    
+    # Add icon to the main window
+    icon_path = resolve_relative_path("deeplivecam.ico")
+    if os.path.exists(icon_path):
+        root.iconbitmap(icon_path)

+    # Image Selection Area (Top)
    source_label = ctk.CTkLabel(root, text=None)
-    source_label.place(relx=0.1, rely=0.05, relwidth=0.275, relheight=0.225)
+    source_label.place(relx=0.1, rely=0.05, relwidth=0.3, relheight=0.25)

    target_label = ctk.CTkLabel(root, text=None)
-    target_label.place(relx=0.6, rely=0.05, relwidth=0.275, relheight=0.225)
+    target_label.place(relx=0.6, rely=0.05, relwidth=0.3, relheight=0.25)

    select_face_button = ctk.CTkButton(
        root, text=_("Select a face"), cursor="hand2", command=lambda: select_source_path()
    )
-    select_face_button.place(relx=0.1, rely=0.30, relwidth=0.3, relheight=0.1)
+    select_face_button.place(relx=0.1, rely=0.35, relwidth=0.3, relheight=0.1)

    swap_faces_button = ctk.CTkButton(
        root, text="↔", cursor="hand2", command=lambda: swap_faces_paths()
    )
-    swap_faces_button.place(relx=0.45, rely=0.30, relwidth=0.1, relheight=0.1)
+    swap_faces_button.place(relx=0.45, rely=0.35, relwidth=0.1, relheight=0.1)

    select_target_button = ctk.CTkButton(
        root,
@@ -176,60 +188,30 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
        cursor="hand2",
        command=lambda: select_target_path(),
    )
-    select_target_button.place(relx=0.6, rely=0.30, relwidth=0.3, relheight=0.1)
+    select_target_button.place(relx=0.6, rely=0.35, relwidth=0.3, relheight=0.1)

-    keep_fps_value = ctk.BooleanVar(value=modules.globals.keep_fps)
-    keep_fps_checkbox = ctk.CTkSwitch(
+    # AI Generated Face controls
+    fake_face_value = ctk.BooleanVar(value=modules.globals.use_fake_face)
+    fake_face_switch = ctk.CTkSwitch(
        root,
-        text=_("Keep fps"),
-        variable=keep_fps_value,
+        text=_("Privacy Mode"),
+        variable=fake_face_value,
        cursor="hand2",
-        command=lambda: (
-            setattr(modules.globals, "keep_fps", keep_fps_value.get()),
-            save_switch_states(),
-        ),
+        command=lambda: toggle_fake_face(fake_face_value)
    )
-    keep_fps_checkbox.place(relx=0.1, rely=0.5)
+    fake_face_switch.place(relx=0.1, rely=0.50)

-    keep_frames_value = ctk.BooleanVar(value=modules.globals.keep_frames)
-    keep_frames_switch = ctk.CTkSwitch(
+    # Add refresh button next to the switch
+    refresh_face_button = ctk.CTkButton(
        root,
-        text=_("Keep frames"),
-        variable=keep_frames_value,
+        text="↻",
+        width=30,
        cursor="hand2",
-        command=lambda: (
-            setattr(modules.globals, "keep_frames", keep_frames_value.get()),
-            save_switch_states(),
-        ),
+        command=lambda: refresh_fake_face_clicked()
    )
-    keep_frames_switch.place(relx=0.1, rely=0.55)
-
-    enhancer_value = ctk.BooleanVar(value=modules.globals.fp_ui["face_enhancer"])
-    enhancer_switch = ctk.CTkSwitch(
-        root,
-        text=_("Face Enhancer"),
-        variable=enhancer_value,
-        cursor="hand2",
-        command=lambda: (
-            update_tumbler("face_enhancer", enhancer_value.get()),
-            save_switch_states(),
-        ),
-    )
-    enhancer_switch.place(relx=0.1, rely=0.6)
-
-    keep_audio_value = ctk.BooleanVar(value=modules.globals.keep_audio)
-    keep_audio_switch = ctk.CTkSwitch(
-        root,
-        text=_("Keep audio"),
-        variable=keep_audio_value,
-        cursor="hand2",
-        command=lambda: (
-            setattr(modules.globals, "keep_audio", keep_audio_value.get()),
-            save_switch_states(),
-        ),
-    )
-    keep_audio_switch.place(relx=0.6, rely=0.5)
+    refresh_face_button.place(relx=0.35, rely=0.50)

+    # Face Processing Options (Middle Left)
    many_faces_value = ctk.BooleanVar(value=modules.globals.many_faces)
    many_faces_switch = ctk.CTkSwitch(
        root,
@@ -241,24 +223,7 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
            save_switch_states(),
        ),
    )
-    many_faces_switch.place(relx=0.6, rely=0.55)
-
-    color_correction_value = ctk.BooleanVar(value=modules.globals.color_correction)
-    color_correction_switch = ctk.CTkSwitch(
-        root,
-        text=_("Fix Blueish Cam"),
-        variable=color_correction_value,
-        cursor="hand2",
-        command=lambda: (
-            setattr(modules.globals, "color_correction", color_correction_value.get()),
-            save_switch_states(),
-        ),
-    )
-    color_correction_switch.place(relx=0.6, rely=0.6)
-
-    #    nsfw_value = ctk.BooleanVar(value=modules.globals.nsfw_filter)
-    #    nsfw_switch = ctk.CTkSwitch(root, text='NSFW filter', variable=nsfw_value, cursor='hand2', command=lambda: setattr(modules.globals, 'nsfw_filter', nsfw_value.get()))
-    #    nsfw_switch.place(relx=0.6, rely=0.7)
+    many_faces_switch.place(relx=0.1, rely=0.55)

    map_faces = ctk.BooleanVar(value=modules.globals.map_faces)
    map_faces_switch = ctk.CTkSwitch(
@@ -272,21 +237,35 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
            close_mapper_window() if not map_faces.get() else None
        ),
    )
-    map_faces_switch.place(relx=0.1, rely=0.65)
+    map_faces_switch.place(relx=0.1, rely=0.60)

-    poisson_blend_value = ctk.BooleanVar(value=modules.globals.poisson_blend)
-    poisson_blend_switch = ctk.CTkSwitch(
+    enhancer_value = ctk.BooleanVar(value=modules.globals.fp_ui["face_enhancer"])
+    enhancer_switch = ctk.CTkSwitch(
        root,
-        text=_("Poisson Blend"),
-        variable=poisson_blend_value,
+        text=_("Face Enhancer"),
+        variable=enhancer_value,
        cursor="hand2",
        command=lambda: (
-            setattr(modules.globals, "poisson_blend", poisson_blend_value.get()),
+            update_tumbler("face_enhancer", enhancer_value.get()),
            save_switch_states(),
        ),
    )
-    poisson_blend_switch.place(relx=0.1, rely=0.7)
+    enhancer_switch.place(relx=0.1, rely=0.65)

+    keep_audio_value = ctk.BooleanVar(value=modules.globals.keep_audio)
+    keep_audio_switch = ctk.CTkSwitch(
+        root,
+        text=_("Keep audio"),
+        variable=keep_audio_value,
+        cursor="hand2",
+        command=lambda: (
+            setattr(modules.globals, "keep_audio", keep_audio_value.get()),
+            save_switch_states(),
+        ),
+    )
+    keep_audio_switch.place(relx=0.1, rely=0.70)
+
+    # Add show FPS switch right after keep_audio_switch
    show_fps_value = ctk.BooleanVar(value=modules.globals.show_fps)
    show_fps_switch = ctk.CTkSwitch(
        root,
@@ -298,8 +277,9 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
            save_switch_states(),
        ),
    )
-    show_fps_switch.place(relx=0.6, rely=0.65)
+    show_fps_switch.place(relx=0.1, rely=0.75)

+    # Mask Switches (Middle Right - Top Section)
    mouth_mask_var = ctk.BooleanVar(value=modules.globals.mouth_mask)
    mouth_mask_switch = ctk.CTkSwitch(
        root,
@@ -308,38 +288,117 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
        cursor="hand2",
        command=lambda: setattr(modules.globals, "mouth_mask", mouth_mask_var.get()),
    )
-    mouth_mask_switch.place(relx=0.1, rely=0.45)
+    mouth_mask_switch.place(relx=0.6, rely=0.50)

+    # Add mouth mask size slider
+    mouth_mask_size_slider = ctk.CTkSlider(
+        root,
+        from_=0.5,
+        to=2.0,
+        number_of_steps=30,
+        command=lambda value: setattr(modules.globals, "mouth_mask_size", value)
+    )
+    mouth_mask_size_slider.set(modules.globals.mouth_mask_size)
+    mouth_mask_size_slider.place(relx=0.8, rely=0.50, relwidth=0.1)
+
+    eyes_mask_var = ctk.BooleanVar(value=modules.globals.eyes_mask)
+    eyes_mask_switch = ctk.CTkSwitch(
+        root,
+        text=_("Eyes Mask"),
+        variable=eyes_mask_var,
+        cursor="hand2",
+        command=lambda: setattr(modules.globals, "eyes_mask", eyes_mask_var.get()),
+    )
+    eyes_mask_switch.place(relx=0.6, rely=0.55)
+
+    # Add eyes mask size slider
+    eyes_mask_size_slider = ctk.CTkSlider(
+        root,
+        from_=0.5,
+        to=2.0,
+        number_of_steps=30,
+        command=lambda value: setattr(modules.globals, "eyes_mask_size", value)
+    )
+    eyes_mask_size_slider.set(modules.globals.eyes_mask_size)
+    eyes_mask_size_slider.place(relx=0.8, rely=0.55, relwidth=0.1)
+
+    eyebrows_mask_var = ctk.BooleanVar(value=modules.globals.eyebrows_mask)
+    eyebrows_mask_switch = ctk.CTkSwitch(
+        root,
+        text=_("Eyebrows Mask"),
+        variable=eyebrows_mask_var,
+        cursor="hand2",
+        command=lambda: setattr(modules.globals, "eyebrows_mask", eyebrows_mask_var.get()),
+    )
+    eyebrows_mask_switch.place(relx=0.6, rely=0.60)
+
+    # Add eyebrows mask size slider
+    eyebrows_mask_size_slider = ctk.CTkSlider(
+        root,
+        from_=0.5,
+        to=2.0,
+        number_of_steps=30,
+        command=lambda value: setattr(modules.globals, "eyebrows_mask_size", value)
+    )
+    eyebrows_mask_size_slider.set(modules.globals.eyebrows_mask_size)
+    eyebrows_mask_size_slider.place(relx=0.8, rely=0.60, relwidth=0.1)
+
+    # Box Visualization Switches (Middle Right - Bottom Section)
    show_mouth_mask_box_var = ctk.BooleanVar(value=modules.globals.show_mouth_mask_box)
    show_mouth_mask_box_switch = ctk.CTkSwitch(
        root,
-        text=_("Show Mouth Mask Box"),
+        text=_("Show Mouth Box"),
        variable=show_mouth_mask_box_var,
        cursor="hand2",
        command=lambda: setattr(
            modules.globals, "show_mouth_mask_box", show_mouth_mask_box_var.get()
        ),
    )
-    show_mouth_mask_box_switch.place(relx=0.6, rely=0.45)
+    show_mouth_mask_box_switch.place(relx=0.6, rely=0.65)

+    show_eyes_mask_box_var = ctk.BooleanVar(value=modules.globals.show_eyes_mask_box)
+    show_eyes_mask_box_switch = ctk.CTkSwitch(
+        root,
+        text=_("Show Eyes Box"),
+        variable=show_eyes_mask_box_var,
+        cursor="hand2",
+        command=lambda: setattr(
+            modules.globals, "show_eyes_mask_box", show_eyes_mask_box_var.get()
+        ),
+    )
+    show_eyes_mask_box_switch.place(relx=0.6, rely=0.70)
+
+    show_eyebrows_mask_box_var = ctk.BooleanVar(value=modules.globals.show_eyebrows_mask_box)
+    show_eyebrows_mask_box_switch = ctk.CTkSwitch(
+        root,
+        text=_("Show Eyebrows Box"),
+        variable=show_eyebrows_mask_box_var,
+        cursor="hand2",
+        command=lambda: setattr(
+            modules.globals, "show_eyebrows_mask_box", show_eyebrows_mask_box_var.get()
+        ),
+    )
+    show_eyebrows_mask_box_switch.place(relx=0.6, rely=0.75)
+
+    # Main Control Buttons (Bottom)
    start_button = ctk.CTkButton(
        root, text=_("Start"), cursor="hand2", command=lambda: analyze_target(start, root)
    )
-    start_button.place(relx=0.15, rely=0.86, relwidth=0.2, relheight=0.05)
-
-    stop_button = ctk.CTkButton(
-        root, text=_("Destroy"), cursor="hand2", command=lambda: destroy()
-    )
-    stop_button.place(relx=0.4, rely=0.86, relwidth=0.2, relheight=0.05)
+    start_button.place(relx=0.15, rely=0.80, relwidth=0.2, relheight=0.05)

    preview_button = ctk.CTkButton(
        root, text=_("Preview"), cursor="hand2", command=lambda: toggle_preview()
    )
-    preview_button.place(relx=0.65, rely=0.86, relwidth=0.2, relheight=0.05)
+    preview_button.place(relx=0.4, rely=0.80, relwidth=0.2, relheight=0.05)

-    # --- Camera Selection ---
+    stop_button = ctk.CTkButton(
+        root, text=_("Destroy"), cursor="hand2", command=lambda: destroy()
+    )
+    stop_button.place(relx=0.65, rely=0.80, relwidth=0.2, relheight=0.05)
+
+    # Camera Section (Bottom)
    camera_label = ctk.CTkLabel(root, text=_("Select Camera:"))
-    camera_label.place(relx=0.1, rely=0.92, relwidth=0.2, relheight=0.05)
+    camera_label.place(relx=0.1, rely=0.87, relwidth=0.2, relheight=0.05)

    available_cameras = get_available_cameras()
    camera_indices, camera_names = available_cameras
@@ -358,7 +417,7 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
            root, variable=camera_variable, values=camera_names
        )

-    camera_optionmenu.place(relx=0.35, rely=0.92, relwidth=0.25, relheight=0.05)
+    camera_optionmenu.place(relx=0.35, rely=0.87, relwidth=0.25, relheight=0.05)

    live_button = ctk.CTkButton(
        root,
@@ -378,82 +437,16 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
            else "disabled"
        ),
    )
-    live_button.place(relx=0.65, rely=0.92, relwidth=0.2, relheight=0.05)
-    # --- End Camera Selection ---
+    live_button.place(relx=0.65, rely=0.87, relwidth=0.2, relheight=0.05)

-    # 1) Define a DoubleVar for transparency (0 = fully transparent, 1 = fully opaque)
-    transparency_var = ctk.DoubleVar(value=1.0)
-
-    def on_transparency_change(value: float):
-        # Convert slider value to float
-        val = float(value)
-        modules.globals.opacity = val  # Set global opacity
-        percentage = int(val * 100)
-
-        if percentage == 0:
-            modules.globals.fp_ui["face_enhancer"] = False
-            update_status("Transparency set to 0% - Face swapping disabled.")
-        elif percentage == 100:
-            modules.globals.face_swapper_enabled = True
-            update_status("Transparency set to 100%.")
-        else:
-            modules.globals.face_swapper_enabled = True
-            update_status(f"Transparency set to {percentage}%")
-
-    # 2) Transparency label and slider (placed ABOVE sharpness)
-    transparency_label = ctk.CTkLabel(root, text="Transparency:")
-    transparency_label.place(relx=0.15, rely=0.75, relwidth=0.2, relheight=0.05)
-
-    transparency_slider = ctk.CTkSlider(
-        root,
-        from_=0.0,
-        to=1.0,
-        variable=transparency_var,
-        command=on_transparency_change,
-        fg_color="#E0E0E0",
-        progress_color="#007BFF",
-        button_color="#FFFFFF",
-        button_hover_color="#CCCCCC",
-        height=5,
-        border_width=1,
-        corner_radius=3,
-    )
-    transparency_slider.place(relx=0.35, rely=0.77, relwidth=0.5, relheight=0.02)
-
-    # 3) Sharpness label & slider
-    sharpness_var = ctk.DoubleVar(value=0.0)  # start at 0.0
-    def on_sharpness_change(value: float):
-        modules.globals.sharpness = float(value)
-        update_status(f"Sharpness set to {value:.1f}")
-
-    sharpness_label = ctk.CTkLabel(root, text="Sharpness:")
-    sharpness_label.place(relx=0.15, rely=0.80, relwidth=0.2, relheight=0.05)
-
-    sharpness_slider = ctk.CTkSlider(
-        root,
-        from_=0.0,
-        to=5.0,
-        variable=sharpness_var,
-        command=on_sharpness_change,
-        fg_color="#E0E0E0",
-        progress_color="#007BFF",
-        button_color="#FFFFFF",
-        button_hover_color="#CCCCCC",
-        height=5,
-        border_width=1,
-        corner_radius=3,
-    )
-    sharpness_slider.place(relx=0.35, rely=0.82, relwidth=0.5, relheight=0.02)
-
-    # Status and link at the bottom
-    global status_label
+    # Status and Links (Bottom)
    status_label = ctk.CTkLabel(root, text=None, justify="center")
-    status_label.place(relx=0.1, rely=0.96, relwidth=0.8)
+    status_label.place(relx=0.1, rely=0.92, relwidth=0.8)

    donate_label = ctk.CTkLabel(
        root, text="Deep Live Cam", justify="center", cursor="hand2"
    )
-    donate_label.place(relx=0.1, rely=0.98, relwidth=0.8)
+    donate_label.place(relx=0.1, rely=0.94, relwidth=0.8)
    donate_label.configure(
        text_color=ctk.ThemeManager.theme.get("URL").get("text_color")
    )
@@ -463,7 +456,6 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C

    return root

-
 def close_mapper_window():
    global POPUP, POPUP_LIVE
    if POPUP and POPUP.winfo_exists():
@@ -480,7 +472,7 @@ def analyze_target(start: Callable[[], None], root: ctk.CTk):
        return

    if modules.globals.map_faces:
-        modules.globals.source_target_map = []
+        modules.globals.souce_target_map = []

        if is_image(modules.globals.target_path):
            update_status("Getting unique faces")
@@ -489,8 +481,8 @@ def analyze_target(start: Callable[[], None], root: ctk.CTk):
            update_status("Getting unique faces")
            get_unique_faces_from_target_video()

-        if len(modules.globals.source_target_map) > 0:
-            create_source_target_popup(start, root, modules.globals.source_target_map)
+        if len(modules.globals.souce_target_map) > 0:
+            create_source_target_popup(start, root, modules.globals.souce_target_map)
        else:
            update_status("No faces found in target")
    else:
@@ -627,6 +619,11 @@ def create_preview(parent: ctk.CTkToplevel) -> ctk.CTkToplevel:
    preview.configure()
    preview.protocol("WM_DELETE_WINDOW", lambda: toggle_preview())
    preview.resizable(width=True, height=True)
+    
+    # Add icon to the preview window
+    icon_path = resolve_relative_path("deeplivecam.ico")
+    if os.path.exists(icon_path):
+        preview.iconbitmap(icon_path)

    preview_label = ctk.CTkLabel(preview, text=None)
    preview_label.pack(fill="both", expand=True)
@@ -663,7 +660,7 @@ def update_tumbler(var: str, value: bool) -> None:


 def select_source_path() -> None:
-    global RECENT_DIRECTORY_SOURCE, img_ft, vid_ft
+    global RECENT_DIRECTORY_SOURCE, img_ft, vid_ft, fake_face_switch, fake_face_value

    PREVIEW.withdraw()
    source_path = ctk.filedialog.askopenfilename(
@@ -672,6 +669,10 @@ def select_source_path() -> None:
        filetypes=[img_ft],
    )
    if is_image(source_path):
+        modules.globals.use_fake_face = False
+        fake_face_value.set(False)
+        cleanup_fake_face()
+        
        modules.globals.source_path = source_path
        RECENT_DIRECTORY_SOURCE = os.path.dirname(modules.globals.source_path)
        image = render_image_preview(modules.globals.source_path, (200, 200))
@@ -844,8 +845,7 @@ def update_preview(frame_number: int = 0) -> None:
                modules.globals.frame_processors
        ):
            temp_frame = frame_processor.process_frame(
-                get_one_face(cv2.imread(modules.globals.source_path)), temp_frame
-            )
+                get_one_face(cv2.imread(modules.globals.source_path)), temp_frame)
        image = Image.fromarray(cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB))
        image = ImageOps.contain(
            image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS
@@ -870,9 +870,9 @@ def webcam_preview(root: ctk.CTk, camera_index: int):
            return
        create_webcam_preview(camera_index)
    else:
-        modules.globals.source_target_map = []
+        modules.globals.souce_target_map = []
        create_source_target_popup_for_webcam(
-            root, modules.globals.source_target_map, camera_index
+            root, modules.globals.souce_target_map, camera_index
        )


@@ -1282,4 +1282,43 @@ def update_webcam_target(
            target_label_dict_live[button_num] = target_image
        else:
            update_pop_live_status("Face could not be detected in last upload!")
-        return map
+        return map
+
+def toggle_fake_face(switch_var: ctk.BooleanVar) -> None:
+    modules.globals.use_fake_face = switch_var.get()
+    if modules.globals.use_fake_face:
+        if not modules.globals.fake_face_path:
+            if refresh_fake_face():
+                modules.globals.source_path = modules.globals.fake_face_path
+                # Update the source image preview
+                image = render_image_preview(modules.globals.source_path, (200, 200))
+                source_label.configure(image=image)
+    else:
+        cleanup_fake_face()
+        # Clear the source image preview
+        source_label.configure(image=None)
+        modules.globals.source_path = None
+
+def refresh_fake_face_clicked() -> None:
+    """Handle refresh button click to update fake face during live preview"""
+    if not modules.globals.use_fake_face:
+        # If privacy mode is off, turn it on first
+        modules.globals.use_fake_face = True
+        fake_face_value.set(True)
+        
+    if refresh_fake_face():
+        modules.globals.source_path = modules.globals.fake_face_path
+        # Update the source image preview
+        image = render_image_preview(modules.globals.source_path, (200, 200))
+        source_label.configure(image=image)
+        
+        # Force reload of frame processors to use new source face
+        global FRAME_PROCESSORS_MODULES
+        FRAME_PROCESSORS_MODULES = []
+        frame_processors = get_frame_processors_modules(modules.globals.frame_processors)
+
+def get_config_path() -> str:
+    """Get the path to the config file"""
+    config_dir = os.path.join(os.path.expanduser("~"), ".deep-live-cam")
+    os.makedirs(config_dir, exist_ok=True)
+    return os.path.join(config_dir, "switch_states.json")
@@ -21,14 +21,13 @@ if platform.system().lower() == "darwin":


 def run_ffmpeg(args: List[str]) -> bool:
-    """Run ffmpeg with hardware acceleration and optimized settings."""
    commands = [
        "ffmpeg",
        "-hide_banner",
-        "-hwaccel", "auto",  # Auto-detect hardware acceleration
-        "-hwaccel_output_format", "auto",  # Use hardware format when possible
-        "-threads", str(modules.globals.execution_threads or 0),  # 0 = auto-detect optimal thread count
-        "-loglevel", modules.globals.log_level,
+        "-hwaccel",
+        "auto",
+        "-loglevel",
+        modules.globals.log_level,
    ]
    commands.extend(args)
    try:
@@ -62,131 +61,39 @@ def detect_fps(target_path: str) -> float:


 def extract_frames(target_path: str) -> None:
-    """Extract frames with hardware acceleration and optimized settings."""
    temp_directory_path = get_temp_directory_path(target_path)
-    
-    # Use hardware-accelerated decoding and optimized pixel format
    run_ffmpeg(
        [
-            "-i", target_path,
-            "-vf", "format=rgb24",  # Use video filter for format conversion (faster)
-            "-vsync", "0",  # Prevent frame duplication
-            "-frame_pts", "1",  # Preserve frame timing
+            "-i",
+            target_path,
+            "-pix_fmt",
+            "rgb24",
            os.path.join(temp_directory_path, "%04d.png"),
        ]
    )


 def create_video(target_path: str, fps: float = 30.0) -> None:
-    """Create video with hardware-accelerated encoding and optimized settings."""
    temp_output_path = get_temp_output_path(target_path)
    temp_directory_path = get_temp_directory_path(target_path)
-    
-    # Determine optimal encoder based on available hardware
-    encoder = modules.globals.video_encoder
-    encoder_options = []
-    
-    # GPU-accelerated encoding options
-    if 'CUDAExecutionProvider' in modules.globals.execution_providers:
-        # NVIDIA GPU encoding
-        if encoder == 'libx264':
-            encoder = 'h264_nvenc'
-            encoder_options = [
-                "-preset", "p7",  # Highest quality preset for NVENC
-                "-tune", "hq",  # High quality tuning
-                "-rc", "vbr",  # Variable bitrate
-                "-cq", str(modules.globals.video_quality),  # Quality level
-                "-b:v", "0",  # Let CQ control bitrate
-                "-multipass", "fullres",  # Two-pass encoding for better quality
-            ]
-        elif encoder == 'libx265':
-            encoder = 'hevc_nvenc'
-            encoder_options = [
-                "-preset", "p7",
-                "-tune", "hq",
-                "-rc", "vbr",
-                "-cq", str(modules.globals.video_quality),
-                "-b:v", "0",
-            ]
-    elif 'DmlExecutionProvider' in modules.globals.execution_providers:
-        # AMD/Intel GPU encoding (DirectML on Windows)
-        if encoder == 'libx264':
-            # Try AMD AMF encoder
-            encoder = 'h264_amf'
-            encoder_options = [
-                "-quality", "quality",  # Quality mode
-                "-rc", "vbr_latency",
-                "-qp_i", str(modules.globals.video_quality),
-                "-qp_p", str(modules.globals.video_quality),
-            ]
-        elif encoder == 'libx265':
-            encoder = 'hevc_amf'
-            encoder_options = [
-                "-quality", "quality",
-                "-rc", "vbr_latency",
-                "-qp_i", str(modules.globals.video_quality),
-                "-qp_p", str(modules.globals.video_quality),
-            ]
-    else:
-        # CPU encoding with optimized settings
-        if encoder == 'libx264':
-            encoder_options = [
-                "-preset", "medium",  # Balance speed/quality
-                "-crf", str(modules.globals.video_quality),
-                "-tune", "film",  # Optimize for film content
-            ]
-        elif encoder == 'libx265':
-            encoder_options = [
-                "-preset", "medium",
-                "-crf", str(modules.globals.video_quality),
-                "-x265-params", "log-level=error",
-            ]
-        elif encoder == 'libvpx-vp9':
-            encoder_options = [
-                "-crf", str(modules.globals.video_quality),
-                "-b:v", "0",  # Constant quality mode
-                "-cpu-used", "2",  # Speed vs quality (0-5, lower=slower/better)
-            ]
-    
-    # Build ffmpeg command
-    ffmpeg_args = [
-        "-r", str(fps),
-        "-i", os.path.join(temp_directory_path, "%04d.png"),
-        "-c:v", encoder,
-    ]
-    
-    # Add encoder-specific options
-    ffmpeg_args.extend(encoder_options)
-    
-    # Add common options
-    ffmpeg_args.extend([
-        "-pix_fmt", "yuv420p",
-        "-movflags", "+faststart",  # Enable fast start for web playback
-        "-vf", "colorspace=bt709:iall=bt601-6-625:fast=1",
-        "-y",
-        temp_output_path,
-    ])
-    
-    # Try with hardware encoder first, fallback to software if it fails
-    success = run_ffmpeg(ffmpeg_args)
-    
-    if not success and encoder in ['h264_nvenc', 'hevc_nvenc', 'h264_amf', 'hevc_amf']:
-        # Fallback to software encoding
-        print(f"Hardware encoding with {encoder} failed, falling back to software encoding...")
-        fallback_encoder = 'libx264' if 'h264' in encoder else 'libx265'
-        ffmpeg_args_fallback = [
-            "-r", str(fps),
-            "-i", os.path.join(temp_directory_path, "%04d.png"),
-            "-c:v", fallback_encoder,
-            "-preset", "medium",
-            "-crf", str(modules.globals.video_quality),
-            "-pix_fmt", "yuv420p",
-            "-movflags", "+faststart",
-            "-vf", "colorspace=bt709:iall=bt601-6-625:fast=1",
+    run_ffmpeg(
+        [
+            "-r",
+            str(fps),
+            "-i",
+            os.path.join(temp_directory_path, "%04d.png"),
+            "-c:v",
+            modules.globals.video_encoder,
+            "-crf",
+            str(modules.globals.video_quality),
+            "-pix_fmt",
+            "yuv420p",
+            "-vf",
+            "colorspace=bt709:iall=bt601-6-625:fast=1",
            "-y",
            temp_output_path,
        ]
-        run_ffmpeg(ffmpeg_args_fallback)
+    )


 def restore_audio(target_path: str, output_path: str) -> None:
@@ -1,24 +1,24 @@
--extra-index-url https://download.pytorch.org/whl/cu128
+--extra-index-url https://download.pytorch.org/whl/cu118

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

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

 if __name__ == '__main__':
@@ -1,26 +0,0 @@
-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
KRSHH	48c83151a4	size	2025-02-03 20:59:06 +05:30
KRSHH	bb3502d9bd	update branch update branch	2025-01-31 22:32:47 +05:30
KRSHH	a101a1f3f1	Reorganized switches	2025-01-30 20:20:04 +05:30
KRSHH	01ef955372	Improve eyebrow mask	2025-01-30 20:14:16 +05:30
KRSHH	ab3b73631b	Shift masking features to face_masking.py	2025-01-30 20:04:31 +05:30
KRSHH	d8fc1ffa04	Eyebrow Mask	2025-01-30 19:58:15 +05:30
KRSHH	5dfd1c0ced	Eye Mask	2025-01-30 19:20:58 +05:30
KRSHH	59cd3be0f9	Simplify Privacy mode switch state	2025-01-27 00:47:34 +05:30
KRSHH	ccb676ac17	FPS Switch re-enable	2025-01-26 23:41:44 +05:30
KRSHH	f0c66732e7	Use Logo	2025-01-26 23:20:08 +05:30
KRSHH	8055d79daf	Privacy Mode	2025-01-26 23:10:45 +05:30
KRSHH	3c7dd1a574	Hardcoded Keep FPS and Keep Frames	2025-01-23 18:45:43 +05:30