vllm-omni/docs/user_guide/examples/online_serving/fish_speech.md

Fish Speech S2 Pro

Source https://github.com/vllm-project/vllm-omni/tree/main/examples/online_serving/fish_speech.

Model

Model	Description
fishaudio/s2-pro	Fish Speech S2 Pro -- 4B dual-AR TTS model with DAC codec (44.1 kHz)

Gradio Demo

An interactive Gradio demo is available with text-to-speech synthesis, voice cloning, and streaming support.

# Option 1: Launch server + Gradio together
./run_gradio_demo.sh

# Option 2: If server is already running
python gradio_demo.py --api-base http://localhost:8091

Then open http://localhost:7860 in your browser.

Features:

• Text-to-speech synthesis
• Voice cloning from uploaded audio or URL
• Streaming mode (progressive PCM playback)

Launch the Server

vllm-omni serve fishaudio/s2-pro \
    --stage-configs-path vllm_omni/model_executor/stage_configs/fish_speech_s2_pro.yaml \
    --omni \
    --port 8091 \
    --trust-remote-code \
    --enforce-eager \
    --gpu-memory-utilization 0.9

Or use the convenience script:

./run_server.sh

Send TTS Request

Using curl

# Basic TTS
curl -X POST http://localhost:8091/v1/audio/speech \
    -H "Content-Type: application/json" \
    -d '{
        "input": "Hello, how are you?",
        "voice": "default",
        "response_format": "wav"
    }' --output output.wav

Voice Cloning

Provide a reference audio (URL or base64 data URL) and its transcript:

curl -X POST http://localhost:8091/v1/audio/speech \
    -H "Content-Type: application/json" \
    -d '{
        "input": "Hello, this is a cloned voice.",
        "voice": "default",
        "ref_audio": "https://example.com/reference.wav",
        "ref_text": "Transcript of the reference audio."
    }' --output cloned.wav

Using Python

import httpx

# Basic TTS
response = httpx.post(
    "http://localhost:8091/v1/audio/speech",
    json={
        "input": "Hello, how are you?",
        "voice": "default",
        "response_format": "wav",
    },
    timeout=300.0,
)

with open("output.wav", "wb") as f:
    f.write(response.content)

Using the CLI Client

cd examples/online_serving/fish_speech

# Basic TTS
python speech_client.py --text "Hello, how are you?"

# Voice cloning
python speech_client.py \
    --text "Hello, this is a cloned voice." \
    --ref-audio /path/to/reference.wav \
    --ref-text "Transcript of the reference audio."

# Streaming PCM output
python speech_client.py --text "Hello world" --stream --output output.pcm

The CLI client supports:

• --api-base: API base URL (default: http://localhost:8091)
• --model (or -m): Model name (default: fishaudio/s2-pro)
• --text: Text to synthesize (required)
• --ref-audio: Reference audio for voice cloning (local path or URL)
• --ref-text: Transcript of the reference audio
• --stream: Enable streaming (PCM output)
• --response-format: Audio format: wav, mp3, flac, pcm, aac, opus (default: wav)
• --output (or -o): Output file path

Streaming

Set stream=true with response_format="pcm" to receive raw PCM audio chunks as they are decoded:

curl -X POST http://localhost:8091/v1/audio/speech \
    -H "Content-Type: application/json" \
    -d '{
        "input": "Hello, how are you?",
        "voice": "default",
        "stream": true,
        "response_format": "pcm"
    }' --no-buffer | play -t raw -r 44100 -e signed -b 16 -c 1 -

Note: Fish Speech outputs at 44.1 kHz (unlike Qwen3-TTS which outputs at 24 kHz).

API Parameters

Fish Speech uses the same /v1/audio/speech endpoint as Qwen3-TTS. See the Speech API reference for full parameter documentation.

Key parameters for Fish Speech:

Parameter	Type	Default	Description
input	string	required	Text to synthesize
voice	string	"default"	Voice name (use "default" for Fish Speech)
response_format	string	"wav"	Audio format: wav, mp3, flac, pcm, aac, opus
ref_audio	string	null	Reference audio URL or base64 data URL for voice cloning
ref_text	string	null	Transcript of reference audio (required for voice cloning)
max_new_tokens	int	4096	Maximum tokens to generate
stream	bool	false	Stream raw PCM chunks

Prerequisites

Install the fish-speech package for the DAC codec:

pip install fish-speech

Troubleshooting

1. No audio output: Make sure the fish-speech package is installed for the DAC decoder
2. Connection refused: Ensure the server is running on the correct port
3. Flashinfer version mismatch: Set FLASHINFER_DISABLE_VERSION_CHECK=1 if you see version warnings
4. Out of memory: Reduce --gpu-memory-utilization or use a GPU with more VRAM

Example materials

??? abstract "gradio_demo.py" py --8<-- "examples/online_serving/fish_speech/gradio_demo.py" ??? abstract "run_gradio_demo.sh" sh --8<-- "examples/online_serving/fish_speech/run_gradio_demo.sh" ??? abstract "run_server.sh" sh --8<-- "examples/online_serving/fish_speech/run_server.sh" ??? abstract "speech_client.py" py --8<-- "examples/online_serving/fish_speech/speech_client.py"