Real time face swap and one-click video deepfake
Deep-Live-Cam is a GitHub project for AI-generated media, emphasizing ethical use. It requires specific software for installation and features a GUI for face swapping and webcam functionality.
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Deep-Live-Cam is a GitHub project aimed at facilitating the creation of AI-generated media, particularly for animating custom characters and modeling clothing. The developers stress the importance of ethical use, explicitly warning against creating deepfakes without consent and incorporating safeguards to prevent misuse with inappropriate media. To set up the software, users need Python (preferably version 3.10), Pip, Git, FFmpeg, and Visual Studio 2022 runtimes for Windows. The installation process involves cloning the repository, downloading specific model files, installing dependencies via a requirements file, and running the program either on CPU or with GPU acceleration based on hardware specifications. The software features a graphical user interface (GUI) for selecting images for face swapping and includes a webcam mode for live face swapping. Additionally, command line options are available for advanced users seeking more control over the program's execution. The project acknowledges various contributors and libraries that have supported its development. For further details, users can visit the Deep-Live-Cam GitHub repository.
- Deep-Live-Cam focuses on AI-generated media for character animation and clothing modeling.
- Ethical use is emphasized, with warnings against creating deepfakes without consent.
- Installation requires specific software and model files, with detailed setup instructions provided.
- The program features a GUI for face swapping and supports live webcam functionality.
- Advanced users can utilize command line options for enhanced control.
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2 commentsHeadline demonstration clip is of taking someone else's face and making it look like they did something they didn't actually do without their consent. Presumably this is not viewed by the authors as inherently unethical.
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