Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
💡 Why It Matters
Deep-Live-Cam addresses the challenge of creating realistic deepfakes in real time, which can be particularly useful for ML/AI teams focused on computer vision and image processing. Roles such as machine learning engineers and AI researchers will find this open source tool beneficial for prototyping and testing deepfake applications. The project has gained significant traction with over 79,000 stars, indicating a strong community interest and a level of maturity that suggests it is a production-ready solution for specific use cases. However, it may not be suitable for scenarios requiring high levels of security or ethical considerations, as the potential for misuse of deepfake technology must be carefully evaluated.
🎯 When to Use
This tool is a strong choice for projects needing real-time face swapping or deepfake capabilities, especially in creative applications or user engagement scenarios. Teams should consider alternatives when prioritising security or when the ethical implications of deepfake technology are a concern.
👥 Team Fit & Use Cases
Machine learning engineers and AI developers are the primary users of Deep-Live-Cam, leveraging it for applications in entertainment, marketing, or virtual meetings. It can be integrated into products that require dynamic visual content, such as video conferencing tools or augmented reality systems.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-12. Over the past 96 days, this repository gained 3.8k stars (+5.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.