faceswap and DeepFaceLab
These are competing implementations of face-swapping technology, with the former using a neural network approach focused on direct frame-to-frame swapping while the latter provides a more comprehensive pipeline for training custom deepfake models with greater control over the entire workflow.
About faceswap
deepfakes/faceswap
Deepfakes Software For All
Implements a three-stage pipeline: face extraction using detection models, training generative adversarial networks (GANs) on paired face datasets, and conversion via learned models. Supports GPU acceleration via CUDA and ROCm, with both CLI and GUI interfaces. Modular architecture allows swapping detection and generative models, enabling experimentation with different neural network architectures for improved swap quality.
About DeepFaceLab
iperov/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
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