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Deep-Live-Cam - An open-source AI real-time face-swapping tool

Deep-Live-Cam is an open-source AI real-time face-swapping tool that allows users to swap faces in videos in real time using only a single image. It supports multiple hardware platforms including CPUs, NVIDIA CUDA, Apple Silicon, and Core ML...

What is Deep-Live-Cam?

Deep-Live-Cam is an open-source AI real-time face-swapping tool that allows users to swap faces in videos in real time using only a single image. It supports various hardware platforms, including CPUs, NVIDIA CUDA, Apple Silicon, and Core ML, ensuring smooth video processing. Deep-Live-Cam software incorporates anti-abuse mechanisms, complies with legal and ethical guidelines, and reminds users to obtain the consent of the person whose face is swapped before use.

Main functions of Deep-Live-Cam

  • Real-time face swappingUsers can replace faces in real time during live video streaming using a single image.
  • One-click operationSimple and easy-to-use interface, one-click start of face-swapping process.
  • Deepfake video generationIt can generate realistic face-swapped videos that are difficult to distinguish from real ones.
  • Multi-platform supportIt is compatible with various hardware such as CPU, NVIDIA CUDA, Apple Silicon, and DirectML to meet the needs of different users.
  • Built-in anti-abuse mechanism: To prevent the handling of inappropriate content, such as nudity or violence.

How to use Deep-Live-Cam

  • Installation Environment:Install Python (version 3.10 recommended), pip, git, ffmpeg, and the Visual Studio 2022 runtime for Windows.
  • Cloning repository:Use git to clone the Deep-Live-Cam repository to your local machine.
  • Download Model:Download the required model files, such as GFPGANv1.4 and inswapper_128_fp16.onnx, and place them in the "models" folder of your project.
  • Install dependencies:Create and activate the virtual environment (recommended), then use pip to install the required dependencies.
  • Run the program:If a GPU is unavailable, the program can be run using the CPU. Upon first run, the program will download some models, which will take some time.
  • Use GPU acceleration:Depending on the hardware configuration, install the corresponding CUDA Toolkit or other execution provider dependencies, and run the program using the appropriate command-line parameters.
  • Select Input:After running the program, select an image containing the desired face and a target image or video.
  • Start face swapping:Click the "Start" button to begin the face-swapping process. During processing, you can view the face-swapping effect in real time in the specified output directory.
  • Webcam mode:If you want to use the camera for real-time face swapping, follow the instructions on the program interface.
  • command line arguments:The behavior of the program can be adjusted through command-line parameters, such as selecting the source file, target file, output path, frame processor, etc.

Deep-Live-Cam project address

Application scenarios of Deep-Live-Cam

  • Entertainment ProductionUsed for creating entertainment videos, such as imitations of celebrities or fictional characters.
  • Artistic CreationArtists can use Deep-Live-Cam to create unique artworks or animations.
  • Education and trainingReplace the instructor's face in the teaching videos to adapt to different teaching environments or languages.
  • Advertising and MarketingUsing face-swapping technology in advertising can attract viewers' attention or showcase different usage scenarios of a product.
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