Professional level environment configuration program
MegaTTS3 has explicit requirements for the operating environment:
- Mandatory Python 3.9 environment (recommended Conda virtual environment)
- Must be GPU accelerated (CUDA 11.0+)
- Dependency library version exactly matches requirements.txt
The configuration process contains key steps:
- Create an isolated environment with conda create
- git clone to get the latest repository
- Pre-training models need to be downloaded from Google Drive/HuggingFace chunks
- Test command python tts/infer_cli.py to verify installation
Typical problem solutions:
- CUDA version conflict: install cudatoolkit=11.0
- latents load failure: check file path case sensitivity
- WaveVAE error: confirm use of official pre-extracted files
The environment takes about 15-30 minutes to configure, and the first inference requires an additional 1.2 GB of model data to be downloaded.
This answer comes from the articleMegaTTS3: A Lightweight Model for Synthesizing Chinese and English SpeechThe
May not be reproduced without permission:AI productivity tools " MegaTTS3 installation and deployment requires strict Python environment configuration
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