What is this?
DeepFaceLab is a deep-learning toolkit for creating deepfakes - it lets you replace a face, de-age a face, or even replace an entire head in video footage.
Is this a library I import, or standalone software I run?
It is standalone desktop software, not a library - you download a release package and run its workflow scripts (extraction, training, conversion) on your own video files.
How do I get DeepFaceLab running?
You download the latest release using a torrent client (there is no direct download link), then run the included scripts to extract faces from source/destination video, train the model, and convert the output.
Does it need an Nvidia GPU to train?
Yes - the pipeline is built on TensorFlow and relies on CUDA, so you need an Nvidia GPU; the project's own hashtags confirm this stack.
Does it just work out of the box?
No - there is no one-click 'make everything ok' button. You need to study the workflow and build real skill, and familiarity with tools like After Effects or DaVinci Resolve helps a lot.
Is this for Windows only, or does it run cross-platform?
Releases are distributed as Windows builds tied to Nvidia GPU support; there is no mention of macOS or Linux builds.
Is DeepFaceLab still being updated?
The repository is archived, meaning it no longer receives new commits or releases - it is effectively frozen in its last state.
Do I need video editing skills on top of DeepFaceLab?
The README recommends also knowing a compositing tool like After Effects or DaVinci Resolve, since DeepFaceLab only handles the face-swap generation, not final polish.
Has DeepFaceLab actually been used in real content?
Yes, the README lists several well-known YouTube channels (like deeptomcruise and VFXChris Ume) that used DeepFaceLab to create their deepfake videos.
What are similar projects?
faceswap, Deep-Live-Cam, pix2pix, deeplearning4j, DeepFaceLive, fast-style-transfer, lama, facefusion
Which topics is it in?
faceswap, face-swap, deeplearning, deep-neural-networks, arxiv, neural-networks, tensorflow, video-processing, image-processing, nvidia, deprecated, computer-vision
