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instruction (how to sound: gender, accent, emotion, pace, age, tone, etc.) and text (exact words to speak).Miner class in miner.py.| File | Role |
|---|---|
miner.py | Miner(path_hf_repo) → warmup() → generate_wav(instruction, text) |
chute_config.yml | Chutes image, GPU class, pip stack |
vocence_config.yaml | Optional limits, flash-attn toggle, default language |
model.safetensors | Main acoustic LM weights |
speech_tokenizer/ | Tokenizer weights + configs |
| Tokenizer text files | vocab.json, merges.txt, tokenizer_config.json, etc. |
qwen-tts (Qwen3TTSModel), generate_custom_voice, with built-in ensemble timbres (mapped from your instruction + language).vocence_config.yaml).instruct.qwen-tts docs for generate_custom_voice and get_supported_speakers().1pip install qwen-tts torch torchaudio # plus deps from chute_config.yml
2python -c "
3from pathlib import Path
4from miner import Miner
5m = Miner(Path('.'))
6m.warmup()
7wav, sr = m.generate_wav('A calm female voice with a British accent.', 'Hello from rhy-TTS-v1.')
8print(wav.shape, sr)
9"