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
Release files for waveglow 22.12.28
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| waveglow-22.12.28.tar.gz | 406.5 kB | 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 |
|---|---|
| Size | 406.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
831e3c12c80b32e21cfd5dab508a942c332539ac9245a4c0a4d07e97cda2bdc2
|
|
BLAKE2b-256 checksum How to use checksums |
5afa63c44fe621cbcf435be524bb07acb5378f01c5b4ec2ae1d7c2eb078f1dcf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.1 CPython/3.10.9 Linux/6.0.0-6-amd64
|
Release files / waveglow-22.12.28-py3-none-any.whl
| Download URL | waveglow-22.12.28-py3-none-any.whl |
|---|---|
| Size | 412.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1c9cbd7ac36c88c7a7770130e14876a781f7570358a8ca9aa771c4dd0bf5293c
|
|
BLAKE2b-256 checksum How to use checksums |
81460fc674af49d72ee529deb9bb2aa3f09ee1fe4cf2d9a77123aabc3b2c96e9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.1 CPython/3.10.9 Linux/6.0.0-6-amd64
|
