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Update Kokoro-FastAPI-integration.md

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Timothy Jaeryang Baek 2025-02-10 14:54:30 -08:00
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docs/tutorials/text-to-speech/Kokoro-FastAPI-integration.md
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@ -7,18 +7,9 @@ title: "🗨️ Kokoro-FastAPI Using Docker"
This tutorial is a community contribution and is not supported by the Open WebUI team. It serves only as a demonstration on how to customize Open WebUI for your specific use case. Want to contribute? Check out the contributing tutorial.
:::
# Integrating `Kokoro-FastAPI` 🗣️ with Open WebUI
## What is `Kokoro-FastAPI`?
[Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) is a dockerized FastAPI wrapper for the [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) text-to-speech model that implements the OpenAI API endpoint specification. It offers high-performance text-to-speech with impressive generation speeds:
- Small local model (~<300mb on disk, additional storage needed up to 5gb for CUDA drivers, etc)
- 100x+ real-time speed via HF A100
- 35-50x+ real-time speed via 4060Ti
- 5x+ real-time speed via M3 Pro CPU
- Low latecy (sub 1s with GPU), customizable by chunking parameters
-
[Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) is a dockerized FastAPI wrapper for the [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) text-to-speech model that implements the OpenAI API endpoint specification.
## Key Features
@ -60,6 +51,7 @@ This tutorial is a community contribution and is not supported by the Open WebUI
## ⚡️ Quick start
### You can choose between GPU or CPU versions
### GPU Version (Requires NVIDIA GPU with CUDA 12.1)
```bash
@ -99,4 +91,4 @@ docker compose up --build
**That's it!**
## For more information on building the Docker container, including changing ports, please refer to the [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) repository
For more information on building the Docker container, including changing ports, please refer to the [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) repository