Detailed Introduction
Deep-Live-Cam, created by hacksider, is an open-source project that provides real-time face swapping and avatar generation using deep learning. The project emphasizes offline, local execution, enabling creators, streamers, and video producers to replace webcam feeds with a virtual persona using a single image or custom models. The repository includes executables, models, and example configurations for deployment on desktop and workstation environments.
Main Features
- Real-time face swap: low-latency face replacement and expression-driven control on webcam streams.
- Single-image or model-driven: supports quick swaps from a single image and loading/training custom models.
- Privacy-first: supports offline usage without uploading video to cloud services.
- Open-source license: released under AGPL-3.0; please review license terms before commercial use.
Use Cases
- Live streaming and content creation: VTubers, streamers, and short-form video creators using live avatars and effects.
- Film and post-production: rapid previewing or live demonstrations of face replacement effects.
- Privacy-preserving usage: mask real identity for privacy-aware streaming or recordings.
- Offline research and demos: evaluate synthesis and tracking algorithms without network dependency.
Technical Features
- Built on modern GAN-based generators and temporal tracking modules to balance visual quality and stability.
- Provides model conversion, quantization, and optimization tips to adapt to different hardware.
- Includes example projects and quickstart guides for reproducibility and extension.
- Active community with issues, tutorials, and third-party integration examples.