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Qwen3-TTS Base 0.6B

by QwenPublicapache-2.0
README.md

Qwen3-TTS Base 0.6B

Qwen3-TTS Base 0.6B is a lightweight zero-shot voice cloning text-to-speech model from the Alibaba Qwen team, published under the Qwen organization on Hugging Face.

Links

  • Upstream model card: https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-Base
  • Upstream GitHub: https://github.com/QwenLM/Qwen2.5-TTS

Model Facts

  • Task: Text-to-Speech (Zero-Shot Voice Cloning)
  • Parameters: 600M (0.6B)
  • License: Apache-2.0
  • Architecture: Qwen2.5-TTS GGUF

LA Studio Notes

Qwen3-TTS Base 0.6B in LA Studio is a zero-shot voice cloning workflow. It downloads GGUF models from conversion repository cstr/qwen3-tts-0.6b-base-GGUF. It needs:

  • Backbone: qwen3-tts-12hz-0.6b-base-q4_k.gguf, qwen3-tts-12hz-0.6b-base-q8_0.gguf, or qwen3-tts-12hz-0.6b-base.gguf
  • Tokenizer: qwen3-tts-tokenizer-12hz.gguf

It requires a 24kHz reference WAV file and a reference transcript to clone a voice.

Configure Workflow Parameters

Configure these custom parameters to fine-tune the speech and voice workflows.

Temperaturefloat

Controls randomness of speech generation. Higher values increase variety.

1
Seedint

Random seed for reproducibility. Set to -1 for random.

-1
Max Codec Stepsint

Maximum decoding steps for the neural voice audio synthesizer.

100