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On the recordRead 9 Oct 202625 facts
Linly-Dubbing
On the record
- External credentials
- The setup guide lists optional credentials or tokens for OpenAI, Hugging Face, Bytedance TTS, and Baidu Ernie Bot, and says most users only need MODEL_NAME and HF_TOKEN.github.com · read 9 Oct 2026
- Installation
- The project is installed from its Git repository and launched as a local WebUI at 127.0.0.1:6006.github.com · read 9 Oct 2026
- Languages
- It supports dubbing and subtitle translation in Chinese and other languages.github.com · read 9 Oct 2026
- License
- The project is licensed under Apache License 2.0.github.com · read 9 Oct 2026
- License and releases
- The repository identifies the project as Apache License 2.0 and its releases page currently states that there are no releases.github.com · read 4 Oct 2026
- Lip sync
- The project integrates Linly-Talker's digital human lip-sync technology for synchronizing dubbing with video visuals.github.com · read 9 Oct 2026
- Online option
- The README links to a Colab script for an online experience.github.com · read 4 Oct 2026
- Privacy and rights
- The project asks users to comply with copyright, data protection, and privacy laws and not use the tool without the original author's or rights holder's permission.github.com · read 9 Oct 2026
- Privacy and use
- The project warns users to comply with copyright, data protection, and privacy laws and to obtain permission from rights holders.github.com · read 4 Oct 2026
- Product
- Linly-Dubbing is an intelligent multilingual AI dubbing and translation tool.github.com · read 9 Oct 2026
- Requirements
- The README says installation is very slow and requires configuring dependencies, downloading models, and setting environment variables.github.com · read 9 Oct 2026
- Setup
- The documented setup uses Python 3.10, PyTorch 2.3.1, and CUDA 11.8 or 12.1, with local WebUI launch instructions.github.com · read 4 Oct 2026
- Speech recognition
- It uses AI speech recognition for speech-to-text conversion and speaker recognition.github.com · read 9 Oct 2026
- Speech synthesis
- Documented speech synthesis options include Edge TTS, XTTS, CosyVoice, and GPT-SoVITS.github.com · read 9 Oct 2026
- Supported environments
- The installation instructions give Linux and Windows model-download commands and list test setups using Python 3.10, PyTorch 2.3.1, and CUDA 11.8 or 12.1.github.com · read 9 Oct 2026
- Translation
- The project describes translation through OpenAI models, locally run Qwen, and Google Translate.github.com · read 4 Oct 2026
- Translations
- Documented translation options include OpenAI models, local Qwen, and Google Translate.github.com · read 9 Oct 2026
- Video download
- The README describes automatic video and audio downloading with yt-dlp from YouTube and other sites.github.com · read 9 Oct 2026
