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.onnx files with embedded weights)config.json, vocab.json, merges.txt, tokenizer_config.json)onnxruntime (CPU) or onnxruntime-gpu.dist/dll_release/
qwen3_tts_rust.dll
qwen3_tts.h
README_dll_release.txt
README.md
onnx_kv/ # 1.7B ONNX, embedded weights
onnx_kv_06b/ # 0.6B ONNX, embedded weights (optional)
models/
Qwen3-TTS-12Hz-1.7B-Base/
config.json
vocab.json
merges.txt
tokenizer_config.json
Qwen3-TTS-12Hz-0.6B-Base/
config.json
vocab.json
merges.txt
tokenizer_config.json
examples/python_dll_call/
run_pipeline.pypython -m pip install numpy onnxruntimepython -m pip install numpy onnxruntime-gpuset QWEN3_TTS_DLL=.\qwen3_tts_rust.dll1python examples\python_dll_call\run_pipeline.py ^
2 --onnx-dir .\onnx_kv ^
3 --model-dir .\models\Qwen3-TTS-12Hz-1.7B-Base ^
4 --ref-audio C:\path\to\ref.wav ^
5 --ref-text C:\path\to\ref.txt ^
6 --text "Hello world."1python examples\python_dll_call\run_pipeline.py ^
2 --onnx-dir .\onnx_kv_06b ^
3 --model-dir .\models\Qwen3-TTS-12Hz-0.6B-Base ^
4 --ref-audio C:\path\to\ref.wav ^
5 --ref-text C:\path\to\ref.txt ^
6 --text "Hello world."python examples\python_dll_call\run_pipeline.py --device cpu ...qwen3_tts_rust.dllonnx_kv/*.onnx (or onnx_kv_06b/*.onnx)models/<model>/{config.json,vocab.json,merges.txt,tokenizer_config.json}examples/python_dll_call/run_pipeline.pyqwen3_tts.h (C/C++ bindings)onnx_kv_06b/ (only for 0.6B).onnx.data, no onnx__MatMul_* shards).QWEN3_TTS_DLL or run from this folder.onnxruntime-gpu or use --device cpu.