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iperov/deepfacelive

30,846PythonAudience · vibe coderComplexity · 3/5StaleLicenseSetup · hard

TLDR

Real-time face swap tool for Windows that replaces your face during live streams or video calls using pre-trained models or custom photos.

Mindmap

mindmap
  root((repo))
    What it does
      Real-time face swap
      Live stream compatible
      Face animator module
    How to use
      Pre-trained models
      Single photo swap
      Custom model training
    Use cases
      Content creation
      Stream novelty
      Privacy masking
    Tech stack
      Python
      Machine learning
      DirectX 12
    Requirements
      Windows 10
      GPU graphics card
      4GB RAM minimum

Things people build with this

USE CASE 1

Stream as a different face on Twitch or YouTube without revealing your identity.

USE CASE 2

Create funny videos or memes by animating a still photo with your real-time facial expressions.

USE CASE 3

Use pre-trained celebrity or character faces instantly during video calls for entertainment.

Tech stack

PythonPyTorchDirectX 12OpenCV

Getting it running

Difficulty · hard Time to first run · 1h+

Requires PyTorch with CUDA, DirectX 12 drivers, and pre-trained face-swap models; Windows-only with GPU strongly recommended.

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

In plain English

DeepFaceLive is a real-time face swap tool for Windows PCs that works during live streams or video calls. Think of it like a digital mask, it replaces your face (or a face in a video) with a different one, all happening live as the camera captures you. There are two main ways to use it. The first is through pre-trained face models: the project comes with a collection of ready-made face identities you can swap onto yourself instantly, no setup required. The second method lets you use a single photo of any face as the swap target. If you want even higher quality results, you can train your own custom face model using a companion project called DeepFaceLab and then load it into DeepFaceLive. There's also a Face Animator module, which takes a still photo of a face and animates it in real time using your own facial movements from a webcam. It's designed for fun videos, memes, or streaming. You'd use this if you're a content creator who wants to appear on camera as a different face, a streamer who wants novelty or privacy, or just someone experimenting with deepfake technology on their home PC. The software is written in Python and uses machine learning models to perform the face detection and blending. It requires a Windows 10 machine with a DirectX 12-compatible graphics card, a modern processor, and at least 4GB of RAM. A mid-to-high-end graphics card is recommended for smooth real-time performance.

Copy-paste prompts

Prompt 1
How do I set up DeepFaceLive to swap my face with a pre-trained model during a live stream?
Prompt 2
Can I use a single photo of someone's face in DeepFaceLive, and what's the quality like?
Prompt 3
What's the difference between using pre-trained models and training a custom face model with DeepFaceLab?
Prompt 4
How do I use the Face Animator module to animate a still photo with my webcam movements in real time?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.