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elbruno/Qwen3-TTS-12Hz-0.6B-Base-ONNX
Qwen3-TTS-12Hz-0.6B-Base-ONNX is a text-to-speech model from elbruno. Use it when you need text read aloud. The card lists the license as apache-2.0.
ONNX export of Qwen/Qwen3-TTS-12Hz-0.6B-Base for local inference with C / ONNX Runtime. Includes ECAPA-TDNN speaker encoder for 3-second voice cloning.
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Updated Feb 23, 2026
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From the Hugging Face model README
ONNX export of Qwen/Qwen3-TTS-12Hz-0.6B-Base for local inference with C# / ONNX Runtime. Includes ECAPA-TDNN speaker encoder for 3-second voice cloning.
| File | Description | Size |
|---|---|---|
speaker_encoder.onnx + .data | ECAPA-TDNN speaker encoder | ~34 MB |
talker_prefill.onnx + .data | Talker LM prefill (28 layers) | ~1.7 GB |
talker_decode.onnx + .data | Talker LM single-step decode | ~1.7 GB |
code_predictor.onnx | Code Predictor (5 layers, 15 groups) | ~440 MB |
vocoder.onnx | Vocoder decoder (24kHz output) | ~2.7 MB |
embeddings/ | Text/codec embeddings as .npy + config | ~1.4 GB |
tokenizer/ | BPE tokenizer (vocab.json, merges.txt) | ~4 MB |
dotnet add package ElBruno.QwenTTS.VoiceCloning
using ElBruno.QwenTTS.VoiceCloning.Pipeline;
var cloner = await VoiceClonePipeline.CreateAsync();
await cloner.SynthesizeAsync("Hello world!", "reference.wav", "output.wav", "english");
Apache-2.0 (same as base model)