Closed cant prevent model download

[JRMeyer]

>>> Bernie
[February 26, 2021, 3:49am]

Hi,

Trying to use basic TTS like:

$ tts --text 'Good morning world' slash
--model_name tts_models/en/ljspeech/tacotron2-DCA slash
--config_path Acoustic/tts_models--en--ljspeech--tacotron2-DCA/config.json slash
--model_path Acoustic/tts_models--en--ljspeech--tacotron2-DCA/model_file.pth.tar slash
--vocoder_name vocoder_models/en/ljspeech/mulitband-melgan slash
--vocoder_path Vocoder/vocoder_models--en--ljspeech--mulitband-melgan/model_file.pth.tar slash
--vocoder_config_path Vocoder/vocoder_models--en--ljspeech--mulitband-melgan/config.json slash
--out_path /tmp/

It works fine - but although the models could be found at indicated
locations I cannot prevent the download of models from some Google
drive.

2021-02-26 10:50:21.535612: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
> Downloading model to /home/someuser/.local/share/tts/tts_models--en--ljspeech--tacotron2-DCA
Downloading...

The corresponding config.json files are modified to point to the right
stats_path. slash
Trying to setup this on multiple PCs and the download bit is very
annoying. slash
Is there a way to prevent this download - am i missing something obvious
here?

[This is an archived TTS discussion thread from discourse.mozilla.org/t/closed-cant-prevent-model-download]

[JRMeyer]

>>> Bernie
[February 26, 2021, 3:47am]

never mind; slash
after reading the source code turns out --model_name and
--vocoder_name are not required - works fine when omitted

[Archived Post]

[JRMeyer]

>>> nmstoker
[February 26, 2021, 9:29am]

Not sure if you know but the downloaded models go into a location under
a .TTS folder in your home directory, as described here:

github.com

#### mozilla/TTS/blob/e9e07844b77a43fb0864354791fb4cf72ffded11/TTS/utils/manage.py slash #L14

<br/> import os<br/> <br/> from TTS.utils.io import load_config<br/> from TTS.utils.generic_utils import get_user_data_dir<br/> <br/> class ModelManager(object):<br/> '''Manage TTS models defined in .models.json.<br/> It provides an interface to list and download<br/> models defines in '.model.json'<br/> <br/> Models are downloaded under '.TTS' folder in the user's<br/> home path.<br/> <br/> Args:<br/> models_file (str): path to .model.json<br/> '''<br/> def __init__(self, models_file):<br/> super().__init__()<br/> self.output_prefix = get_user_data_dir('tts')<br/> self.url_prefix = 'https://drive.google.com/uc?id='<br/> self.models_dict = None<br/>

So if you're setting up on multiple machines you can copy the files to
that location manually from the first machine and then you'll see the
slash --list_models show the available models correctly and you can use the
name rather than having to remember a particular path. Of course the way
you describe in your second post is also a perfectly valid approach, so
it's just a matter of preference here really.

[Archived Post]