Download for windows

fix core.py for face_enhancer and add TRT support in face_enhancer

README.md

@@ -30,18 +30,13 @@ 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 v2.0 Quick Start - Pre-built (Windows)
 
-## Quick Start - Pre-built (Windows / Nvidia)
+  <a href="https://deeplivecam.net/index.php/quickstart"> <img src="media/Download.png" width="285" height="77" />
 
-  <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 or AMD GPU.
  
-##### This is the fastest build you can get if you have a discrete NVIDIA GPU.
+###### 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. This will be 60 days ahead on the open source version.
-
-## 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.
 
 ## TLDR; Live Deepfake in just 3 Clicks
 ![easysteps](https://github.com/user-attachments/assets/af825228-852c-411b-b787-ffd9aac72fc6)
@@ -123,7 +118,8 @@ This is more likely to work on your computer but will be slower as it utilizes t
 **2. Clone the Repository**
 
 ```bash
-https://github.com/hacksider/Deep-Live-Cam.git
+git clone https://github.com/hacksider/Deep-Live-Cam.git
+cd Deep-Live-Cam
 ```
 
 **3. Download the Models**
@@ -137,14 +133,44 @@ 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 macOS:** Install or upgrade the `python-tk` package:
+**For macOS:**
+
+Apple Silicon (M1/M2/M3) requires specific setup:
 
 ```bash
+# Install Python 3.10 (specific version is important)
+brew install python@3.10
+
+# Install tkinter package (required for the GUI)
 brew install python-tk@3.10
+
+# Create and activate virtual environment with Python 3.10
+python3.10 -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
 ```
 
 **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).
@@ -169,19 +195,39 @@ python run.py --execution-provider cuda
 
 **CoreML Execution Provider (Apple Silicon)**
 
-1. Install dependencies:
+Apple Silicon (M1/M2/M3) specific installation:
+
+1. Make sure you've completed the macOS setup above using Python 3.10.
+2. Install dependencies:
 
 ```bash
 pip uninstall onnxruntime onnxruntime-silicon
 pip install onnxruntime-silicon==1.13.1
 ```
 
-2. Usage:
+3. Usage (important: specify Python 3.10):
 
 ```bash
-python run.py --execution-provider coreml
+python3.10 run.py --execution-provider coreml
 ```
 
+**Important Notes for macOS:**
+- You **must** use Python 3.10, not newer versions like 3.11 or 3.13
+- Always run with `python3.10` command not just `python` if you have multiple Python versions installed
+- If you get error about `_tkinter` missing, reinstall the tkinter package: `brew reinstall python-tk@3.10`
+- If you get model loading errors, check that your models are in the correct folder
+- If you encounter conflicts with other Python versions, consider uninstalling them:
+  ```bash
+  # List all installed Python versions
+  brew list | grep python
+  
+  # Uninstall conflicting versions if needed
+  brew uninstall --ignore-dependencies python@3.11 python@3.13
+  
+  # Keep only Python 3.10
+  brew cleanup
+  ```
+
 **CoreML Execution Provider (Apple Legacy)**
 
 1. Install dependencies:
@@ -226,7 +272,6 @@ pip install onnxruntime-openvino==1.15.0
 ```bash
 python run.py --execution-provider openvino
 ```
-
 </details>
 
 ## Usage
@@ -247,6 +292,19 @@ python run.py --execution-provider openvino
 -   Use a screen capture tool like OBS to stream.
 -   To change the face, select a new source image.
 
+## Tips and Tricks
+
+Check out these helpful guides to get the most out of Deep-Live-Cam:
+
+- [Unlocking the Secrets to the Perfect Deepfake Image](https://deeplivecam.net/index.php/blog/tips-and-tricks/unlocking-the-secrets-to-the-perfect-deepfake-image) - Learn how to create the best deepfake with full head coverage
+- [Video Call with DeepLiveCam](https://deeplivecam.net/index.php/blog/tips-and-tricks/video-call-with-deeplivecam) - Make your meetings livelier by using DeepLiveCam with OBS and meeting software
+- [Have a Special Guest!](https://deeplivecam.net/index.php/blog/tips-and-tricks/have-a-special-guest) - Tutorial on how to use face mapping to add special guests to your stream
+- [Watch Deepfake Movies in Realtime](https://deeplivecam.net/index.php/blog/tips-and-tricks/watch-deepfake-movies-in-realtime) - See yourself star in any video without processing the video
+- [Better Quality without Sacrificing Speed](https://deeplivecam.net/index.php/blog/tips-and-tricks/better-quality-without-sacrificing-speed) - Tips for achieving better results without impacting performance
+- [Instant Vtuber!](https://deeplivecam.net/index.php/blog/tips-and-tricks/instant-vtuber) - Create a new persona/vtuber easily using Metahuman Creator
+
+Visit our [official blog](https://deeplivecam.net/index.php/blog/tips-and-tricks) for more tips and tutorials.
+
 ## Command Line Arguments (Unmaintained)
 
 ```
@@ -320,5 +378,3 @@ 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>
-
-

modules/processors/frame/core.py

@@ -42,18 +42,29 @@ def get_frame_processors_modules(frame_processors: List[str]) -> List[ModuleType
 
 def set_frame_processors_modules_from_ui(frame_processors: List[str]) -> None:
     global FRAME_PROCESSORS_MODULES
+    current_processor_names = [proc.__name__.split('.')[-1] for proc in FRAME_PROCESSORS_MODULES]
+
     for frame_processor, state in modules.globals.fp_ui.items():
-        if state == True and frame_processor not in frame_processors:
+        if state == True and frame_processor not in current_processor_names:
-            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.remove(frame_processor_module)
+                FRAME_PROCESSORS_MODULES.append(frame_processor_module)
-                modules.globals.frame_processors.remove(frame_processor)
+                if frame_processor not in modules.globals.frame_processors:
-            except:
+                     modules.globals.frame_processors.append(frame_processor)
-                pass
+            except SystemExit:
+                 print(f"Warning: Failed to load frame processor {frame_processor} requested by UI state.")
+            except Exception as e:
+                 print(f"Warning: Error loading frame processor {frame_processor} requested by UI state: {e}")
+
+        elif state == False and frame_processor in current_processor_names:
+            try:
+                module_to_remove = next((mod for mod in FRAME_PROCESSORS_MODULES if mod.__name__.endswith(f'.{frame_processor}')), None)
+                if module_to_remove:
+                    FRAME_PROCESSORS_MODULES.remove(module_to_remove)
+                if frame_processor in modules.globals.frame_processors:
+                    modules.globals.frame_processors.remove(frame_processor)
+            except Exception as e:
+                 print(f"Warning: Error removing frame processor {frame_processor}: {e}")
 
 def multi_process_frame(source_path: str, temp_frame_paths: List[str], process_frames: Callable[[str, List[str], Any], None], progress: Any = None) -> None:
     with ThreadPoolExecutor(max_workers=modules.globals.execution_threads) as executor:

modules/processors/frame/face_enhancer.py

@@ -48,6 +48,17 @@ def pre_start() -> bool:
     return True
 
 
+TENSORRT_AVAILABLE = False
+try:
+    import torch_tensorrt
+    TENSORRT_AVAILABLE = True
+except ImportError as im:
+    print(f"TensorRT is not available: {im}")
+    pass
+except Exception as e:
+    print(f"TensorRT is not available: {e}")
+    pass
+
 def get_face_enhancer() -> Any:
     global FACE_ENHANCER
 
@@ -55,16 +66,26 @@ def get_face_enhancer() -> Any:
         if FACE_ENHANCER is None:
             model_path = os.path.join(models_dir, "GFPGANv1.4.pth")
             
-            match platform.system():
+            selected_device = None
-                case "Darwin":  # Mac OS
+            device_priority = []
-                    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]
 
+            if TENSORRT_AVAILABLE and torch.cuda.is_available():
+                selected_device = torch.device("cuda")
+                device_priority.append("TensorRT+CUDA")
+            elif torch.cuda.is_available():
+                selected_device = torch.device("cuda")
+                device_priority.append("CUDA")
+            elif torch.backends.mps.is_available() and platform.system() == "Darwin":
+                selected_device = torch.device("mps")
+                device_priority.append("MPS")
+            elif not torch.cuda.is_available():
+                selected_device = torch.device("cpu")
+                device_priority.append("CPU")
+            
+            FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1, device=selected_device)
+
+            # for debug:
+            print(f"Selected device: {selected_device} and device priority: {device_priority}")
     return FACE_ENHANCER
 
 

modules/processors/frame/face_swapper.py

@@ -4,6 +4,7 @@ import insightface
 import threading
 import numpy as np
 import modules.globals
+import logging
 import modules.processors.frame.core
 from modules.core import update_status
 from modules.face_analyser import get_one_face, get_many_faces, default_source_face
@@ -105,14 +106,20 @@ def process_frame(source_face: Face, temp_frame: Frame) -> Frame:
         many_faces = get_many_faces(temp_frame)
         if many_faces:
             for target_face in many_faces:
-                temp_frame = swap_face(source_face, target_face, temp_frame)
+                if source_face and target_face:
+                    temp_frame = swap_face(source_face, target_face, temp_frame)
+                else:
+                    print("Face detection failed for target/source.")
     else:
         target_face = get_one_face(temp_frame)
-        if target_face:
+        if target_face and source_face:
             temp_frame = swap_face(source_face, target_face, temp_frame)
+        else:
+            logging.error("Face detection failed for target or source.")
     return temp_frame
 
 
+
 def process_frame_v2(temp_frame: Frame, temp_frame_path: str = "") -> Frame:
     if is_image(modules.globals.target_path):
         if modules.globals.many_faces:

requirements.txt

@@ -15,11 +15,7 @@ torch==2.5.1; sys_platform == 'darwin'
 torchvision==0.20.1; sys_platform != 'darwin'
 torchvision==0.20.1; sys_platform == 'darwin'
 onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
-onnxruntime-gpu==1.16.3; sys_platform != 'darwin'
+onnxruntime-gpu==1.17; sys_platform != 'darwin'
 tensorflow; sys_platform != 'darwin'
 opennsfw2==0.10.2
 protobuf==4.23.2
-tqdm==4.66.4
-gfpgan==1.3.8
-tkinterdnd2==0.4.2
-pygrabber==0.2