Deep-Live-Cam and face2face
Real-time deepfake generation via webcam (A) and offline face-swapping with image enhancement and API deployment (B) serve different use cases—one optimized for live streaming applications and the other for batch processing and production deployment—making them complements rather than direct competitors.
About Deep-Live-Cam
hacksider/Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
Leverages ONNX-based face detection and swapping models (inswapper, GFPGANv1.4) with configurable execution providers (CUDA, CoreML, CPU) for cross-platform GPU acceleration. Supports simultaneous multi-face mapping, mouth masking for preserved mouth movements, and real-time webcam/video stream processing through a Python GUI. Integrates with FFmpeg for video handling and supports virtual camera output for streaming platforms.
About face2face
SocAIty/face2face
Swap faces in images and videos. Create face embeddings. Enhance face image quality. Deploy as a web api.
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