DeepFaceLive: Real-Time Face Swap for Streaming and Video Calls

DeepFaceLive: Real-Time Face Swap for Streaming and Video Calls

Summary

DeepFaceLive is an impressive open-source project enabling real-time face swapping for PC streaming and video calls. Built with Python, it leverages machine learning to offer dynamic face manipulation, including various face swap methods and a face animator module. This tool provides a powerful solution for creative content generation and interactive virtual experiences.

Repository Info

Updated on October 11, 2025
View on GitHub

Tags

deepfakefaceswapmachine-learningreal-timestreamingvideocallPythonAI

Click on any tag to explore related repositories

Introduction

DeepFaceLive, developed by iperov, is a cutting-edge open-source application designed for real-time face swapping. This powerful tool allows users to dynamically replace faces in live PC streams or video calls, bringing advanced deepfake technology to a broader audience. Written primarily in Python, DeepFaceLive offers robust performance and a variety of features for manipulating facial imagery in real-time.

Installation

Getting started with DeepFaceLive is straightforward, especially for Windows users, as it provides stand-alone, zero-dependency, all-in-one portable self-extracting folders.

For detailed installation instructions and setup guides:

The project recommends a DirectX12 compatible graphics card (RTX 2070+ / Radeon RX 5700 XT+), a modern CPU with AVX instructions, and at least 4GB RAM.

Examples

DeepFaceLive offers several compelling features for face manipulation:

  • Face Swap (DFM): Swap your face from a webcam or video using trained face models. The repository includes a list of ready-to-use public face models, including well-known personalities and fictional characters. Users can also train their own high-quality models using DeepFaceLab.
  • Face Swap (Insight): This method allows you to swap faces using just a single photo, providing a quick and easy way to experiment with face replacement.
  • Face Animator: Control a static face picture using video input or your own face from the camera. While requiring fine-tuning, this module is excellent for creating funny videos, memes, or real-time streaming at 25 fps on capable GPUs.

The README provides numerous image and GIF examples showcasing these capabilities.

Why Use DeepFaceLive?

DeepFaceLive stands out for its real-time capabilities, making advanced face manipulation accessible for live streaming, video calls, and interactive content creation. Its support for various face swap techniques, including pre-trained models and single-photo swaps, offers flexibility. The Face Animator module adds another layer of creative potential. With strong community support via Discord and comprehensive documentation, it's a robust choice for anyone interested in deepfake technology for live applications.

Links