Kokoro it's a small TTS model that's really high-quality that can be run both in Colab and locally very easily. 

Colab: https://drp.li/oCw7v
Model Card: https://huggingface.co/hexgrad/Kokoro-82M

For more tutorials on using LLMs and building agents, check out my Patreon
Patreon: https://www.patreon.com/SamWitteveen
Twitter: https://twitter.com/Sam_Witteveen

🕵️ Interested in building LLM Agents? Fill out the form below
Building LLM Agents Form: https://drp.li/dIMes

👨‍💻Github:
https://github.com/samwit/llm-tutorials

⏱️Time Stamps:
00:00 Intro
01:04 TTS Arena: Benchmarking TTS Models
02:06 Kokoro Model Card
03:05 Kokoro Onnx Github
03:50 Colab Demo
07:27 Blending Custom Voices
10:58 Kokoro Onnx Demo (Installing Locally)

Sam Witteveen AI is a publication offering insights, tutorials, and resources for artificial intelligence (AI) enthusiasts and practitioners. Readers can learn about machine learning algorithms, deep learning frameworks, and AI applications. With tutorials, case studies, and expert interviews, Sam Witteveen AI provides  guidance and expertise for building and deploying AI solutions.

Sam Witteveen

Kokoro TTS is a small, high-performing text-to-speech model available on Hugging Face and GitHub. It operates locally without the need for a GPU and supports multiple languages. Users can create custom voices by blending pre-trained voice embeddings and run the system efficiently using the Kakuro ONNX package. The TTS model is ideal for those seeking a private and cost-effective solution for generating speech from text without relying on external APIs.

Kokoro Local TTS + Custom Voices