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iperov/deepfacelab

★ 19,199PythonAudience · developerComplexity · 4/5StaleLicenseSetup · hard

TLDR

Python tool for creating deepfakes by swapping faces in videos using deep learning. Requires skill and time to master, but produces convincing results.

Mindmap

mindmap
  root((repo))
    What it does
      Face swapping
      De-aging faces
      Head replacement
    How it works
      Neural networks
      Learn from images
      Transfer to video
    Tech stack
      TensorFlow
      CUDA GPU
      DirectX
    Use cases
      Creative videos
      Visual effects
      Film restoration
    Requirements
      Video editing skills
      Time investment
      Windows OS

Things people build with this

USE CASE 1

Create entertainment videos with face swaps for YouTube or TikTok content.

USE CASE 2

Produce visual effects for film and video production by replacing actors' faces.

USE CASE 3

Restore old film footage by de-aging or updating faces to match modern standards.

USE CASE 4

Explore and learn how deep learning models can manipulate facial features in video.

Tech stack

PythonTensorFlowCUDADirectX

Getting it running

Difficulty · hard Time to first run · 1day+

Requires CUDA/GPU setup, TensorFlow installation, and pre-trained model downloads; significant ML infrastructure overhead.

Use it freely, but any project you distribute that includes this code must also be GPL-licensed and open source.

In plain English

DeepFaceLab is a Python-based deep learning tool described as the leading software for creating deepfakes, videos where one person's face is convincingly replaced with another's. It uses deep neural networks to learn what a face looks like from many example images, then transfers that face onto video footage of a different person, matching lighting, angle, and expressions. The tool supports three main use cases: replacing one face with another, de-aging a person's face to make them look younger, and replacing an entire head. It requires significant time to learn the workflow and get good results, there is no automatic "make it work" button. Skills in video editing software like After Effects or DaVinci Resolve are also helpful for post-processing. The software runs on Windows and uses TensorFlow, CUDA (Nvidia GPU acceleration), and DirectX. You would use DeepFaceLab for creative video production, visual effects work, film restoration, or educational exploration of AI face-swapping technology. It has been used by well-known YouTube and TikTok creators for entertainment content. A companion project called DeepFaceLive supports real-time face swapping for live streaming or video calls.

Copy-paste prompts

Prompt 1
How do I set up DeepFaceLab on Windows and train a model to swap faces in my video?
Prompt 2
What are the steps to prepare training images and video footage for a face swap project in DeepFaceLab?
Prompt 3
How can I use DeepFaceLab to de-age a person's face in a video, and what post-processing do I need in After Effects?
Prompt 4
What GPU requirements and CUDA settings do I need to run DeepFaceLab efficiently for face swapping?
Prompt 5
How do I combine DeepFaceLab output with video editing in DaVinci Resolve to create a polished deepfake video?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.