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Waveglow library

Project description

Waveglow library

This Waveglow library was changed to be used with vait library.

Instalation

1) Install waveglow library

(This will also install tacotron2 library)

pip install waveglow==22.12.28

2) Install CUDA 11.3 or 11.6

pip install -r requirements-cuda-11.3.txt
# or
pip install -r requirements-cuda-11.6.txt

3) Install apex

git clone https://github.com/NVIDIA/apex /home/${USER}/apex
cd /home/${USER}/apex
pip install -v --disable-pip-version-check --no-cache-dir ./
cd -

4) Download published model files

wget https://drive.google.com/open?id=1rpK8CzAAirq9sWZhe9nlfvxMF1dRgFbF

5) Download mel-spectrograms

wget https://drive.google.com/file/d/1g_VXK2lpP9J25dQFhQwx7doWl_p20fXA/view?usp=sharing

Usage: Creating audio

waveglow-inference -f <(ls mel_spectrograms/*.pt) -w waveglow_256channels_universal_v5.pt -o . --is_fp16 -s 0.6

Usage: Training

mkdir checkpoints
waveglow-train -c config.json

Project details


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