mrq/vall-e

mrq 93d27be539 rolling context finally (use last N utterances as the prefix for the next gen), option to split input text prompt by sentences instead of lines (or no splitting)

2024-12-04 20:31:44 -06:00

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VALL'E

An unofficial PyTorch implementation of VALL-E, utilizing the EnCodec encoder/decoder.

A demo is available on HuggingFace here.

Requirements

Besides a working PyTorch environment, the only hard requirement is espeak-ng for phonemizing text:

Linux users can consult their package managers on installing espeak/espeak-ng.
Windows users are required to install espeak-ng.
- additionally, you may be required to set the PHONEMIZER_ESPEAK_LIBRARY environment variable to specify the path to libespeak-ng.dll.
In the future, an internal homebrew to replace this would be fantastic.

Install

Simply run pip install git+https://git.ecker.tech/mrq/vall-e or pip install git+https://github.com/e-c-k-e-r/vall-e.

This repo is tested under Python versions 3.10.9, 3.11.3, and 3.12.3.

Pre-Trained Model

Pre-trained weights can be acquired from

here or automatically when either inferencing or running the web UI.
./scripts/setup.sh, a script to setup a proper environment and download the weights. This will also automatically create a venv.
when inferencing, either through the web UI or CLI, if no model is passed, the default model will download automatically instead, and should automatically update.

Documentation

The provided documentation under ./docs/ should provide thorough coverage over most, if not all, of this project.

Markdown files should correspond directly to their respective file or folder under ./vall_e/.