About DeepFaceLive

What is DeepFaceLive?

DeepFaceLive is a real-time face-swapping application designed for Windows PCs, allowing users to replace their faces with others during live video interactions. The software leverages advanced deep learning models to perform face detection, alignment, and swapping with minimal latency, making it suitable for applications like streaming, video conferencing, and content creation. Users can choose from a library of pre-trained face models or train their own using DeepFaceLab. The application supports integration with popular streaming platforms and video call services, providing a seamless experience for users seeking to add a creative twist to their live video presence.

How to use DeepFaceLive?

Download DeepFaceLive from the official GitHub repository, extract the files, and run the application. Configure your webcam and select the desired face model or train your own. Integrate with your preferred streaming or video call application by selecting DeepFaceLive as your video source.

What Are the Key Features of DeepFaceLive?

Real-Time Face Swap

Replace your face with another in real-time during video calls or live streams.

Pre-Trained Face Models

Access a library of pre-trained face models for quick face swapping.

Custom Face Model Training

Train your own face models using DeepFaceLab for personalized face swapping.

Face Animator Module

Animate a static face image using video input or your own face from the camera.

Streaming Platform Integration

Integrate with streaming platforms like OBS Studio for live streaming.

Video Call Compatibility

Use with video call applications such as Zoom, Skype, and Discord.

DirectX 12 Support

Utilize DirectX 12 compatible graphics cards for enhanced performance.

Open Source

Free to use and modify under the GPL-3.0 license.

Real-World Use Cases of DeepFaceLive

#1Enhancing live streams with creative face swapping.
#2Participating in video calls with virtual avatars.
#3Creating entertaining content for social media platforms.
#4Developing and testing deepfake models.
#5Providing privacy by using avatars instead of real faces.

DeepFaceLive Integrations

OBS Studio
Zoom
Skype
Discord
Microsoft Teams

DeepFaceLive Screenshots

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