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IndexTTS Voice Cloning and TTS in 4GB VRAM! (Local Test & Install)

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IndexTTS Voice Cloning and TTS in 4GB VRAM! (Local Test & Install)

AI Summary

Summary of the Video on Voice Cloning with Index TTS

  1. Introduction
    • The video explores a new model called Index TTS found on the Quen Hugging Face page.
    • It involves voice cloning, which has gained significant interest.
  2. Getting Started
    • View recent activity and find the Index TTS model on Hugging Face.
    • Quick installation instructions are available in the GitHub repository.
  3. Installation Process
    • Clone the repository named index-ts and change into that directory.
    • Create a conda environment named index-t, activate it, and install requirements alongside FFmpeg.
    • If prompted with a root access error, use sudo to execute the FFmpeg installation command.
  4. Downloading Models
    • Required model files can be easily copied and downloaded, totaling approximately 3.1 GB.
    • The goal is to minimize VRAM usage while running the models.
  5. Testing and Usage
    • Run a test script; however, the folder for test data might be missing.
    • Instead, the web demo is utilized to test the voice cloning functionality using Python.
    • The system operates efficiently, using about 3-4 GB of VRAM.
  6. Voice Cloning Demonstration
    • Users can clone their voice by supplying sample prompts through a simple web UI.
    • The voice cloning demonstrates about 80-85% similarity to the original voice and handles prompts quickly.
    • Limits on languages—currently supports English and Chinese, not Persian.
  7. Conclusion
    • Overall, the tool showcases effectiveness and efficiency with low VRAM requirements, encouraging further exploration of TTS (Text-to-Speech) technology.

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