Installing Coqui TTS with CUDA on Windows

For my next project I have been trying to install Coqui-AI Text-to-Speech (TTS) on windows. Coqui-AI is an open-source project focused on developing speech technologies and applications that are accessible, affordable, and community-driven. The project provides a range of speech-related tools, including speech-to-text, text-to-speech, and voice activity detection, all of which are based on state-of-the-art machine learning models. For this, I have tried to install it via the tutorial found here. Unfortunately, the tutorial is quite old and newer versions are possible to be installed. Therefore I have adapted the tutorial.

Download and install Python 3.9.13
Download and install CUDA Toolkit 11.1
Download cuDNN v8.8.1 (March 8th, 2023), for CUDA 11.x, extract it, and then copy what's inside the cuda folder into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1.
Download the latest 64-bit version of eSpeak NG (no version constraints :-) ).
Download the latest 64-bit version of Git for Windows (no version constraints :-) ).
Open a PowerShell prompt to a folder where you'd like to install Coqui TTS.
Run git clone https://github.com/coqui-ai/TTS.git.
Run cd TTS.
Run python -m venv ..
Run .\Scripts\python -m pip install torch==1.8.0+cu111 torchvision==0.9.1+cu111 torchaudio==0.10.2+cu111 --index-url https://download.pytorch.org/whl/torch_stable.html
Run .\Scripts\pip install -e ..

Put the following into a script called "test_cuda.py" in the TTS folder:

import torch
x = torch.rand(5, 3)
print(x)
print(torch.cuda.is_available())

Run the script via .\Scripts\python ./test_cuda.py and confirm the output looks like this (the first part should have just random numbers, but the last line must read True; if it does not, CUDA is not installed properly).