To make the setup easier and add a few features people are asking for here (like GPU support and long text handling), I built a self-hosted server for this model:
https://github.com/devnen/Kitten-TTS-Server
The goal was a setup that "just works" using a standard Python virtual environment to avoid dependency conflicts.
The setup is just the standard git clone, pip install in a venv, and python server.py.
This is really impressive work and the dialogue quality is fantastic.
For anyone wanting a quick way to spin this up locally with a web UI and API access, I put together a FastAPI server wrapper around the model:
https://github.com/devnen/Dia-TTS-Server
The setup is just a standard pip install -r requirements.txt (works on Linux/Windows). It pulls the model from HF automatically – defaulting to the faster BF16 safetensors (ttj/dia-1.6b-safetensors), but that's configurable in the .env. You get an OpenAI-compatible API endpoint (/v1/audio/speech) for easy integration, plus a custom one (/tts) to control all the Dia parameters. The web UI gives you a simple way to type text, adjust sliders, and test voice cloning. It'll use your CUDA GPU if you have one configured, otherwise, it runs on the CPU.
Might be a useful starting point or testing tool for someone. Feedback is welcome!