On Windows, I highly recommend using the Conda installation path. If you want to use this on your own computer, you must have an NVIDIA GPU.įirst, install pytorch using these instructions. I do not intend to keep fixing it so it has been removed. The original colab no longer works by a combination of Google's tendency to forward-break things and Python's package management system. See this page for a large list of example outputs.Ĭool application of Tortoise+GPT-3 (not by me): Usage guide Colab On a K80, expect to generate a medium sized sentence every 2 minutes.
It leverages both an autoregressive decoder and a diffusion decoder both known for their low Tortoise is a bit tongue in cheek: this model I'm naming my speech-related repos after Mojave desert flora and fauna.
Added ability to produce totally random voices.Wrap the text you want to use to prompt the model but not be spoken in brackets. Added several new voices from the training set.Improvements to read.py and do_tts.py (new options).New CLVP-large model for further improved decoding guidance.Add better debugging support existing tools now spit out debug files which can be used to reproduce bad runs.Found that it does not, in fact, make an appreciable difference in the output. I finally converted the "doc" to a arxiv entry: Version history v2.4 7 This repo contains all the code needed to run Tortoise TTS in inference mode. Highly realistic prosody and intonation.Tortoise is a text-to-speech program built with the following priorities:
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