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Update Kokoro-FastAPI-integration.md

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Updated the run commands to the new tagging from a few versions back, clarified some information, cheers
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docs/tutorials/text-to-speech/Kokoro-FastAPI-integration.md
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@ -13,9 +13,12 @@ This tutorial is a community contribution and is not supported by the OpenWebUI
[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
-
## Key Features
@ -23,18 +26,20 @@ This tutorial is a community contribution and is not supported by the OpenWebUI
- NVIDIA GPU accelerated or CPU Onnx inference
- Streaming support with variable chunking
- Multiple audio format support (`.mp3`, `.wav`, `.opus`, `.flac`, `.aac`, `.pcm`)
- Gradio Web UI interface for easy testing
- Integrated web interface on localhost:8880/web (or additional container in repo for gradio)
- Phoneme endpoints for conversion and generation
## Voices
- af
- af_bella
- af_irulan
- af_nicole
- af_sarah
- af_sky
- am_adam
- am_michael
- am_gurney
- bf_emma
- bf_isabella
- bm_george
@ -49,23 +54,22 @@ This tutorial is a community contribution and is not supported by the OpenWebUI
- Docker installed on your system
- Open WebUI running
- For GPU support: NVIDIA GPU with CUDA 12.1
- For GPU support: NVIDIA GPU with CUDA 12.3
- For CPU-only: No special requirements
## ⚡️ Quick start
### You can choose between GPU or CPU versions
### GPU Version (Requires NVIDIA GPU with CUDA 12.1)
```bash
docker run -d -p 8880:8880 -p 7860:7860 remsky/kokoro-fastapi:latest
docker run -d -p 8880:8880 -p 7860:7860 remsky/kokoro-fastapi-gpu:latest
```
### CPU Version (ONNX optimized inference)
```bash
docker run -d -p 8880:8880 -p 7860:7860 remsky/kokoro-fastapi:cpu-latest
docker run -d -p 8880:8880 -p 7860:7860 remsky/kokoro-fastapi-cpu:latest
```
## Setting up Open WebUI to use `Kokoro-FastAPI`
@ -78,7 +82,7 @@ To use Kokoro-FastAPI with Open WebUI, follow these steps:
- API Base URL: `http://localhost:8880/v1`
- API Key: `not-needed`
- TTS Model: `kokoro`
- TTS Voice: `af_bella`
- TTS Voice: `af_bella` # also accepts mapping of existing OAI voices for compatibility
:::info
The default API key is the string `not-needed`. You do not have to change that value if you do not need the added security.
@ -89,6 +93,7 @@ The default API key is the string `not-needed`. You do not have to change that v
```bash
git clone https://github.com/remsky/Kokoro-FastAPI.git
cd Kokoro-FastAPI
cd docker/cpu # or docker/gpu
docker compose up --build
```