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HeyGem - AI Video Tools Tool

Overview

HeyGem is an open-source AI avatar project that enables offline video synthesis on Windows. According to the GitHub repository (https://github.com/duixcom/Duix.Heygem), HeyGem is designed to precisely clone a user's appearance and voice to generate ultra-realistic digital avatars, allowing users to create personalized videos without an internet connection. The project focuses on local processing and privacy by avoiding cloud-based inference, enabling creators to produce and export finished video assets entirely on their Windows machines. The repository provides source code, model integration points and setup instructions for running the system locally; users can examine the implementation and training/inference tooling directly in the project files. HeyGem is positioned for workflows that require offline operation (for example, privacy-sensitive content creation, demonstration videos, or internal corporate communications) and for developers who want a modifiable, community-driven baseline for avatar synthesis on Windows. For up-to-date details, system requirements and usage examples, consult the project README and issue tracker on the GitHub page.

Installation

Install via docker:

git clone https://github.com/duixcom/Duix.Heygem.git
See the repository README for platform-specific build and Windows offline setup instructions

Key Features

  • Offline video synthesis on Windows — generate avatar videos without sending data to cloud services
  • Appearance cloning — creates a digital likeness that matches your facial features and expressions
  • Voice cloning — replicates a user’s voice for synchronized speech in generated videos
  • Local processing for privacy — all model inference and training run on the user’s machine
  • Exportable personalized videos — produce finished video assets for presentations or content

Community

HeyGem is hosted on GitHub (https://github.com/duixcom/Duix.Heygem), where the source code, issues and pull requests are publicly available. Users and developers can contribute via issues, forks and pull requests; check the repository README and issue tracker for contributor guidelines, known issues and discussion threads.

Last Refreshed: 2026-01-09

Key Information

  • Category: Video Tools
  • Type: AI Video Tools Tool
Visit Official Website

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