Zen3 Audio
Collection
Speech recognition + text-to-speech. • 7 items • Updated
Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
Chinese
text-generation
zen3
zen3-tts
zenlm
qwen3-tts
speech-synthesis
voice-design
controllable
12hz
# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("zenlm/zen3-tts-voice-design", device_map="auto")Quick Links
Zen3 TTS Voice Design
Zen3 TTS variant for voice design: synthesize new speakers from natural-language descriptors (timbre, age, accent, affect) without reference audio.
Derived by fine-tuning Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign (Alibaba Cloud, Apache-2.0).
- Architecture:
Qwen3TTSForConditionalGeneration(qwen3_tts) - Parameters: ~1.7B
- Base model:
Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
Weights
This repository contains the model weights: model.safetensors (talker) plus a speech_tokenizer/ module (12 Hz codec), config and tokenizer files.
The model uses the qwen3_tts architecture and loads with transformers (>= 4.57). It is API-compatible with the upstream base — follow the inference recipe on the base model card Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign.
Provenance
Fine-tuned from Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign (Apache-2.0). See NOTICE for full attribution.
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Model tree for zenlm/zen3-tts-voice-design
Base model
Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="zenlm/zen3-tts-voice-design")