Qwen 3 TTS - Text to Speech [1.7B]
/v1/runQwen 3 Tts 1.7b is Alibaba's text-to-speech AI model. Generate human-like voiceovers with expressive intonation, multilingual support, and customizable voice characteristics.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to alibaba/qwen-3-tts/1.7b.
Default: alibaba/qwen-3-tts/1.7b
Optional prompt to guide the style of the generated speech. This prompt will be ignored if a speaker embedding is provided.
The text to be converted to speech.
Temperature for sub-talker sampling.
Range: 0 to 1
Default: 0.9
URL to a speaker embedding file in safetensors format, from `fal-ai/qwen-3-tts/clone-voice` endpoint. If provided, the TTS model will use the cloned voice for synthesis instead of the predefined voices.
Penalty to reduce repeated tokens/codes.
Range: 0 to ∞
Default: 1.05
The language of the voice.
Allowed values: Auto, English, Chinese, Spanish, French, German, Italian, Japanese, Korean, Portuguese, Russian
Default: Auto
Top-p for sub-talker sampling.
Range: 0 to 1
Default: 1
Top-p sampling parameter.
Range: 0 to 1
Default: 1
Optional reference text that was used when creating the speaker embedding. Providing this can improve synthesis quality when using a cloned voice.
Top-k sampling parameter.
Range: 0 to ∞
Default: 50
Top-k for sub-talker sampling.
Range: 0 to ∞
Default: 50
Sampling temperature; higher => more random.
Range: 0 to 1
Default: 0.9
The voice to be used for speech synthesis, will be ignored if a speaker embedding is provided. Check out the **[documentation](https://github.com/QwenLM/Qwen3-TTS/tree/main?tab=readme-ov-file#custom-voice-generate)** for each voice's details and which language they primarily support.
Allowed values: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee
Maximum number of new codec tokens to generate.
Range: 1 to 8192
Default: 200
Sampling switch for the sub-talker.
Default: true
Response Schema
The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.
Error message if the task failed. Empty on success.
Unique identifier for the generation task.
Model ID used for the prediction.
Array of generated content. Empty when status is not completed.
Status of the task: pending, running, completed, failed, or timeout.
Allowed values: pending, running, completed, failed, timeout
Model capabilities
Capabilities declared by the model registry.
Default: text-to-speech
Execution mode declared by the model registry.
Default: async

