Run a Kokoro Text-to-Speech Model Locally or as a High-Throughput Server

Learn to deploy and utilize Kokoro, a compact 82M parameter text-to-speech model with permissive licensing, both locally and as a high-throughput server solution. Explore the model's capabilities for generating speech with various accents and voice characteristics while understanding its advantages for inference and fine-tuning applications. Set up Kokoro locally on your machine and configure it as a scalable server for synthetic data generation and production use cases. Discover deployment options using RunPod's one-click template for cloud-based inference, and benchmark server throughput to optimize performance for your specific requirements. Compare Kokoro against other text-to-speech models and understand when to choose this lightweight solution for your voice synthesis projects. Access practical implementation examples, server configuration code, and performance optimization techniques for both local development and production deployment scenarios.

Syllabus

0:00 Generate voices with various accents with Kokoro
0:15 Kokoro - a small, permissively licensed text to speech model
2:34 Video Resources and Kokoro Setup
2:58 My recommendations on Text to Speech models for inference and fine-tuning
3:56 One-click affiliate template for a high throughput Kokoro Server: https://console.runpod.io/deploy?template=grwfixzu60&ref=jmfkcdio
4:31 Run Kokoro locally
8:29 Synthetic data generation via a server
9:58 Benchmarking Server Throughput
12:38 Conclusion