How to Deploy & Run TorToiSe model (turn ANY text into speech!)

March 03, 2023How to Deploy & Run TorToiSe model (turn ANY text into speech!)

Deprecated: This blog article is deprecated. We strive to rapidly improve our product and some of the information contained in this post may no longer be accurate or applicable. For the most current instructions on deploying a model like TorToiSe to Banana, please check our updated documentation.

In this tutorial we're walking through how to deploy and run the TorToiSe text-to-speech model on serverless GPUs. Our tutorial is welcoming for all skill levels, minimal AI knowledge or coding experience is required to follow along and deploy your own TorToiSe model.

This tutorial is easy to follow because we are using a Community Template. Templates are user-submitted model repositories that are optimized and setup to run on Banana's serverless GPU infrastructure. All you have to do is click deploy and in a few minutes your model is ready to use on Banana. Pretty sweet! Here is the direct link to the TorToiSe model template on Banana.

What is TorToiSe?

TorToiSe is an open source text-to-speech model developed by James Betker. It has gained popularity due to its voice outputs being realistic and high quality. With TorToiSe, you can upload custom voices (three 10-second audio clips of a voice is recommended) and get text-to-speech generated vocals from that custom voice. There are a bunch of sample voices you can choose from and mix together if you prefer to do that instead of uploading a custom voice.

TorToiSe Deployment Tutorial

Video Notes & Resources:

We mentioned a few resources and links in the tutorial, here they are.

In the tutorial we used a virtual environment on our machine to run our demo model. If you are wanting to create your own virtual environment use these commands (Mac):


Wrap Up

Reach out to us if you have any questions or want to talk about TorToiSe. We're around on our Discord or by tweeting us on Twitter. What other machine learning models would you like to see a deployment tutorial for? Let us know!