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Real-Time Face Swap & One-Click Deepfake with Single Image

An open-source project for real-time face swapping in videos and creating deepfakes from just a single source image, simplifying complex video manipulation.

Python
Added on 2025年5月6日
View on GitHub
Real-Time Face Swap & One-Click Deepfake with Single Image preview
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Project Introduction

Summary

This project offers an accessible solution for real-time face swapping and generating high-quality deepfake videos leveraging advanced AI models, requiring only a single input image for the target face.

Problem Solved

Creating realistic deepfakes and performing face swaps traditionally required extensive datasets, complex setups, and technical expertise. This project simplifies the process significantly.

Core Features

Real-Time Face Swap

Enables live face swapping directly in video feeds, suitable for streaming or interactive applications.

Single Image Deepfake

Generate compelling deepfake videos using only one source face image, significantly reducing data requirements.

One-Click Operation

A user-friendly interface allows for quick generation of deepfakes and real-time swap without complex configurations.

Tech Stack

Python
OpenCV
Deep Learning Framework (e.g., PyTorch/TensorFlow)
UI Library (e.g., Gradio/Streamlit)

Use Cases

Applicable to various scenarios requiring creative video content production, entertainment applications, or research purposes.

Social Media & Content Creation

Details

Quickly generate entertaining face swap videos for social media platforms or personal use.

User Value

Boost engagement and create viral content with novel video effects.

Entertainment Applications

Details

Integrate real-time or video generation features into entertainment or communication applications.

User Value

Provide users with interactive and fun experiences like virtual avatars or filters.

Film/VFX Pre-visualization

Details

Filmmakers or VFX artists can quickly preview face swap effects during the pre-production or planning phase.

User Value

Streamline creative workflows and potentially save significant time in post-production.

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