Deep-Live-Cam

Deep-Live-Cam performs real-time face swaps and creates video deepfakes from a single image, according to its repository description.

github.com/hacksider/Deep-Live-Cam
Deep-Live-Cam homepage screenshot

About Deep-Live-Cam

Deep-Live-Cam is open-source software for real-time face swap and one-click video deepfake from a single image. It supports live camera use by selecting a face, selecting a camera, and starting live output, with capabilities such as mouth mask for mouth movement and face mapping for multiple subjects.

Manual installation requires technical skills, including Python, pip, git, ffmpeg, and downloading model files into the models folder. The software includes built-in checks that block nudity, graphic content, and sensitive material, and users are expected to obtain consent when using a real person's face and label shared output as a deepfake.

Key features

  • Real-time face swap from a single source image
  • One-click video deepfake creation
  • Live camera face swap in three steps
  • Mouth mask to retain original mouth movement
  • Face mapping for multiple subjects simultaneously
  • Built-in check blocks nudity and graphic content
Best for: Artists creating AI-generated media who are comfortable with manual Python installation.
Good for
  • Creates face swaps and video deepfakes from a single image
  • Performs swapping in real time, including live camera input
  • Source code is openly available as a repository
Watch out for
  • Manual installation requires technical skills and is not for beginners
  • Requires Python setup, dependencies, and separate model downloads
  • Built-in checks prevent processing nudity, graphic content, and sensitive material

Deep-Live-Cam at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Deep-Live-Cam FAQ

What is needed for manual installation?
Python 3.14 recommended (3.11-3.14 supported), pip, git, ffmpeg, and on Windows Visual Studio 2022 Runtimes, plus cloning the repository, placing the two listed model files in the models folder, and installing dependencies, preferably in a venv.
What rules apply when using a real person's face?
Obtain their consent and clearly label any output as a deepfake when sharing online.
Where should downloads come from besides GitHub?
The project states its only official website is https://deeplivecam.net and advises caution with other download sources.
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