Flowtron library
Project description
Flowtron library
This Flowtron library was changed to be used with vait library.
Original code, README.md and additional information:
https://github.com/NVIDIA/flowtron
Instalation
1) Install flowtron library
(This will also install waveglow library)
pip install flowtron==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 Flowtron LJS
wget https://drive.google.com/open?id=1Cjd6dK_eFz6DE0PKXKgKxrzTUqzzUDW-
5) Download published model Flowtron LibriTTS
wget https://drive.google.com/open?id=1KhJcPawFgmfvwV7tQAOeC253rYstLrs8
6) Download published model Flowtron LibriTTS2K
wget https://drive.google.com/open?id=1sKTImKkU0Cmlhjc_OeUDLrOLIXvUPwnO
Usage: Training
flowtron-train -c config.json -p train_config.output_directory=outdir data_config.use_attn_prior=1
Usage: Inferencing
flowtron-inference -c config.json -f models/flowtron_ljs.pt -w models/waveglow_256channels_v4.pt -t "It is well know that deep generative models have a rich latent space!" -i 0
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