TTS is a very active field of research. The things you see here, GlowTTS, PortaSpeech, Diffusion, etc, these are very new, published 2020 and 2021. Every couple of months there is a new model, which needs its own implementation.
You will find a lot of code but that is research code, i.e. you need to understand the science behind it and it needs some effort to get it to run, and it will have lots of hard edges.
When you ask for a usable cross platform and open source solution, this is different. Although, Larynx looks actually nice and usable, i.e. intended for the end user.
The hard part of TTS systems is also to get all the edge cases right, like special symbols, abbreviations, special names, etc. And most research code does not care too much about this but is more about doing research such as developing new models.
A manual lexicon with lots of custom rules is often used to cover all these cases but to maintain this is a lot of work and depends also on the use case. Or you could train another model for this part which will somehow work better than a simplistic lexicon but will still fail at many edge cases.