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README.md
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README.md
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@ -144,6 +144,7 @@ Underlined "TTS*" and "Judy*" are **internal** 🐸TTS models that are not relea
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You can also help us implement more models.
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## Installation
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# Linux
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🐸TTS is tested on Ubuntu 18.04 with **python >= 3.9, < 3.12.**.
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If you are only interested in [synthesizing speech](https://tts.readthedocs.io/en/latest/inference.html) with the released 🐸TTS models, installing from PyPI is the easiest option.
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@ -165,8 +166,44 @@ If you are on Ubuntu (Debian), you can also run following commands for installat
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$ make system-deps # intended to be used on Ubuntu (Debian). Let us know if you have a different OS.
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$ make install
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```
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# Windows
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If you are on Windows, 👑@GuyPaddock wrote installation instructions [here](https://stackoverflow.com/questions/66726331/how-can-i-run-mozilla-tts-coqui-tts-training-with-cuda-on-a-windows-system).
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🐸TTS is on python 3.11.x
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Download CUDA Toolkit 12.1 on https://developer.nvidia.com/cuda-12-1-0-download-archive.
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Download cuDNN 8.9.4 for cuda12.x https://developer.nvidia.com/rdp/cudnn-archive. And extract to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\cuda
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Download the latest 64-bit version of eSpeak NG (no version constraints :-) ).
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Download the latest 64-bit version of Git for Windows (no version constraints :-) ).
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```powershell
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pip install virtualenv
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virtualenv venv
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./venv/Scripts/activate.bat
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pip install -r requirements.txt
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pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
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```
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Then, create a file that named 'test.py'
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```test.py
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import torch
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x = torch.rand(5, 3)
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print(x)
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print(torch.cuda.is_available())
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```
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Run the script via and confirm the output looks like this (the first part should have just random numbers, but the last line must read ; if it does not, CUDA is not installed properly)
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```terminal
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tensor([[0.2141, 0.7808, 0.9298],
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[0.3107, 0.8569, 0.9562],
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[0.2878, 0.7515, 0.5547],
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[0.5007, 0.6904, 0.4136],
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[0.2443, 0.4158, 0.4245]])
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True
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```
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If the last word is "True" that means you installed it successfully.
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## Docker Image
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