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faceswap

54,498
13,416
Python

Project Description

Deepfakes Software For All

faceswap: Deepfakes Software For All

Project Title

faceswap โ€” Deepfakes Software For All

Overview

Faceswap is an open-source deep learning tool designed to recognize and swap faces in pictures and videos. It democratizes AI technology by making it accessible to users without a Ph.D. in complex fields, allowing experimentation and learning through practical application.

Key Features

  • Face recognition and swapping in images and videos
  • Utilizes deep learning for high accuracy
  • Supports various models for different face swapping tasks

Use Cases

  • Content creators looking to add a unique twist to their media
  • Educators and students learning about AI and machine learning
  • Researchers in the field of computer vision and neural networks

Advantages

  • Open-source and community-driven, fostering continuous improvement
  • Ethical manifesto emphasizing responsible use of technology
  • Supports a variety of models, catering to different user needs

Limitations / Considerations

  • Ethical concerns regarding the misuse of face-swapping technology
  • Requires a certain level of technical knowledge to set up and run effectively
  • Potential legal implications depending on jurisdiction and use case

Similar / Related Projects

  • DeepFaceLab: A leading deepfake software that is more focused on video processing, offering a different set of features and user experience.
  • FaceSwapPlusPlus: An enhanced version of the original FaceSwap, offering additional functionalities and improvements.
  • NVlabs/facegen: A research project by NVIDIA focusing on high-quality face generation, which differs from FaceSwap in its goals and applications.

Basic Information


๐Ÿ“Š Project Information

  • Project Name: faceswap
  • GitHub URL: https://github.com/deepfakes/faceswap
  • Programming Language: Python
  • โญ Stars: 54,429
  • ๐Ÿด Forks: 13,426
  • ๐Ÿ“… Created: 2017-12-19
  • ๐Ÿ”„ Last Updated: 2025-08-20

๐Ÿท๏ธ Project Topics

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๐Ÿ“š Documentation

  • [Documentation Status

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Project Information

Created on 12/19/2017
Updated on 9/18/2025