hacksider/deep-live-cam

real time face swap and one-click video deepfake with only a single image

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Summary Information

Updated 57 minutes ago
Added to GitGenius on August 28th, 2026
Created on September 24th, 2023
Open Issues & Pull Requests: 37 (+1)
GitHub issues: Enabled
Number of forks: 14,040
Total Stargazers: 96,203 (-1)
Total Subscribers: 570 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.8 hours
Mean response time: 11.7 days
90th percentile: 22.7 days
Tracked items: 1,038

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 15% of issues opened in the past year have been closed. Three people close 86% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 21
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 131 days
Stale 30+ days: 18
Stale 90+ days: 12

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 2

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Detailed Description

Deep-Live-Cam is a real-time face-swapping tool that performs video deepfakes using only a single source image.

The tool addresses the need for accessible deepfake creation by automating face replacement in live video feeds with minimal input. It operates through a one-click interface that requires only a single image to generate real-time face swaps, making the technology available without extensive technical setup or multiple reference images.

The project targets content creators and artists working in animation, character design, and media production. It suits workflows where rapid iteration on character animation or content creation is needed. The tool includes built-in content filtering to prevent processing of inappropriate material such as nudity or graphic content. Users should be aware that the software requires explicit consent when applied to real people's faces and demands clear labeling of outputs as deepfakes when shared publicly.

Development activity shows consistent maintenance with regular updates addressing user needs and platform compatibility. The project maintains active engagement with its user base through documentation and support channels. The maintainers have demonstrated commitment to responsible development by implementing ethical safeguards and content restrictions within the software itself. The team has expanded platform support to cover multiple hardware configurations including CPU-only systems, Mac Silicon, and various GPU architectures.