forked from mrq/tortoise-tts
Update README with suggestions for windows installation
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README.md
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README.md
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@ -38,12 +38,15 @@ See [this page](http://nonint.com/static/tortoise_v2_examples.html) for a large
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Colab is the easiest way to try this out. I've put together a notebook you can use here:
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https://colab.research.google.com/drive/1wVVqUPqwiDBUVeWWOUNglpGhU3hg_cbR?usp=sharing
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### Installation
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### Local Installation
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If you want to use this on your own computer, you must have an NVIDIA GPU. First, install pytorch using these
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instructions: [https://pytorch.org/get-started/locally/](https://pytorch.org/get-started/locally/)
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If you want to use this on your own computer, you must have an NVIDIA GPU.
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Then:
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First, install pytorch using these instructions: [https://pytorch.org/get-started/locally/](https://pytorch.org/get-started/locally/).
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On Windows, I **highly** recommend using the Conda installation path. I have been told that if you do not do this, you
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will spend a lot of time chasing dependency problems.
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Next, install TorToiSe and it's dependencies:
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```shell
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git clone https://github.com/neonbjb/tortoise-tts.git
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@ -51,6 +54,8 @@ cd tortoise-tts
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python setup.py install
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```
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If you are on windows, you will also need to install pysoundfile: `conda install -c conda-forge pysoundfile`
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### do_tts.py
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This script allows you to speak a single phrase with one or more voices.
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