GraphCanon updated today · GitHub synced today
Trust & integrity
Full report- Maintenance
- Dormant (1158d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Personal account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
This repository contains an unofficial PyTorch implementation for text-to-speech conversion using the VALL-E model. It is based on DeepSpeed and requires a compatible GPU, CUDA or ROCm compiler.
Capability facts
- Languages
- python
Source: github.language · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
Note that the code is only tested under `Python 3.10.7`.Source link
Tags
README
Requirements
Since the trainer is based on DeepSpeed, you will need to have a GPU that DeepSpeed has developed and tested against, as well as a CUDA or ROCm compiler pre-installed to install this package.
Install
pip install git+https://github.com/enhuiz/vall-e
Or you may clone by:
git clone --recurse-submodules https://github.com/enhuiz/vall-e.git
Note that the code is only tested under Python 3.10.7.