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
1 maintainer
Metadata
1 maintainer
Release files for waveglow 22.12.28
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| waveglow-22.12.28.tar.gz | 406.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| waveglow-22.12.28-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 819.0 kB
Release files / waveglow-22.12.28.tar.gz
| Download URL | waveglow-22.12.28.tar.gz |
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| Size | 406.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / waveglow-22.12.28-py3-none-any.whl
| Download URL | waveglow-22.12.28-py3-none-any.whl |
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| Size | 412.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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