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deepfacelab

★ 7 updated 18d ago

DeepFaceLab — deepfake software.

A pre-packaged Windows build of DeepFaceLab, a deep-learning face-swap program that replaces one person's face in video with another, distributed via Telegram with feature restrictions removed from the original project.

PythonCUDANVIDIAsetup: moderatecomplexity 3/5

This repository distributes a pre-packaged Windows build of DeepFaceLab, a well-known face-swap program. The software takes video footage and replaces one person's face with another using deep learning techniques. According to the README, it runs on Windows 10 and 11 (64-bit) and works best with an NVIDIA graphics card, though a CPU fallback is listed as available.

The build advertises several face-swap capabilities: swapping faces in videos, improving output video quality, processing entire videos in batch rather than frame by frame, and training custom models on your own footage. The README lists three model architectures by name (SAEHD, Quick96, and AMP) without explaining what distinguishes them. The claim that this software is "used in 95% of deepfake content worldwide" comes from the README itself and is not independently verifiable.

The installation process described is straightforward: download an archive from a Telegram link, extract it, run a setup file as Administrator, and the software launches with all features active. The README also lists several restrictions that have been removed from this build, including subscription requirements and feature gates, which suggests this is not an official release from the original DeepFaceLab project.

The README is brief and mostly consists of a feature checklist and install steps. It does not explain how training works, what data you need to collect, or how long the process takes. For anyone unfamiliar with deepfake creation, the actual workflow of gathering source footage, training a model, and applying a face swap would require guidance beyond what this repository provides.

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