lightmare/tortoise-tts
1
0
Fork 0
forked from mrq/tortoise-tts
Code Issues 1 Pull Requests Packages Projects Releases Wiki Activity

Update README with suggestions for windows installation

Browse Source
This commit is contained in:
James Betker 2022-05-08 20:44:44 -06:00
parent 317d55c252
commit 099bf8363c
1 changed files with 9 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
README.md
View File

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