Qwen 3 TTS - Text to Speech [0.6B] | Text to Speech

fal-ai/qwen-3-tts/text-to-speech/0.6b

Bring speech to your texts using Qwen3-TTS Custom-Voice model with pre-trained voices or use your custom voice with Qwen3-TTS Clone Voice model

Inference

Commercial use

Schema

LLMs

Playground API

About

Custom Voice 06B

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/qwen-3-tts/text-to-speech/0.6b", {
  input: {
    text: "I feel like I'm taking crazy pills! How can something be both a square and a circle at the same time? It defies all logic!"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/qwen-3-tts/text-to-speech/0.6b", {
  input: {
    text: "I feel like I'm taking crazy pills! How can something be both a square and a circle at the same time? It defies all logic!"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/qwen-3-tts/text-to-speech/0.6b", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/qwen-3-tts/text-to-speech/0.6b", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

text string* required

The text to be converted to speech.

prompt string

Optional prompt to guide the style of the generated speech. This prompt will be ignored if a speaker embedding is provided.

voice VoiceEnum

The voice to be used for speech synthesis, will be ignored if a speaker embedding is provided. Check out the documentation for each voice's details and which language they primarily support.

Possible enum values: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee

language LanguageEnum

The language of the voice. Default value: "Auto"

Possible enum values: Auto, English, Chinese, Spanish, French, German, Italian, Japanese, Korean, Portuguese, Russian

speaker_voice_embedding_file_url string

URL to a speaker embedding file in safetensors format, from fal-ai/qwen-3-tts/clone-voice/0.6b endpoint. If provided, the TTS model will use the cloned voice for synthesis instead of the predefined voices.

reference_text string

Optional reference text that was used when creating the speaker embedding. Providing this can improve synthesis quality when using a cloned voice.

top_k integer

Top-k sampling parameter. Default value: 50

top_p float

Top-p sampling parameter. Default value: 1

temperature float

Sampling temperature; higher => more random. Default value: 0.9

repetition_penalty float

Penalty to reduce repeated tokens/codes. Default value: 1.05

subtalker_dosample boolean

Sampling switch for the sub-talker. Default value: true

subtalker_top_k integer

Top-k for sub-talker sampling. Default value: 50

subtalker_top_p float

Top-p for sub-talker sampling. Default value: 1

subtalker_temperature float

Temperature for sub-talker sampling. Default value: 0.9

max_new_tokens integer

Maximum number of new codec tokens to generate. Default value: 200

{
  "text": "I feel like I'm taking crazy pills! How can something be both a square and a circle at the same time? It defies all logic!",
  "prompt": "Very happy.",
  "voice": "Vivian",
  "language": "English",
  "top_k": 50,
  "top_p": 1,
  "temperature": 0.9,
  "repetition_penalty": 1.05,
  "subtalker_dosample": true,
  "subtalker_top_k": 50,
  "subtalker_top_p": 1,
  "subtalker_temperature": 0.9,
  "max_new_tokens": 200
}

Output#

audio AudioFile* required

The generated speech audio file.

{
  "audio": {
    "duration": 9.816875,
    "file_name": "n6Av3SeD5dFENf9-VmQ1v_is3jLh5h.mp3",
    "sample_rate": 24000,
    "content_type": "audio/mpeg",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/example_outputs/qwen3-tts/tts_out_06b.mp3",
    "channels": 1
  }
}

Other types#

AudioFile#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

duration float

The duration of the audio

channels integer

The number of channels in the audio

sample_rate integer

The sample rate of the audio

bitrate string | integer

The bitrate of the audio (e.g., '192k' or 192000)

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

AudioFile#

File#

Related Models

Qwen 3 TTS - Text to Speech [0.6B] Text to Speech

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

AudioFile#

File#

Related Models