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.

Deep-Live-Cam
71
Verified
face2face
44
Emerging
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 6/25
Adoption 10/25
Maturity 9/25
Community 19/25
Stars: 79,998
Forks: 11,666
Downloads:
Commits (30d): 24
Language: Python
License: AGPL-3.0
Stars: 138
Forks: 25
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

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.

Scores updated daily from GitHub, PyPI, and npm data. How scores work