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thunk6/qwen3-tts-custom-voice
qwen3-tts-custom-voice is a text-to-speech model from thunk6. Use it when you need text read aloud. The card lists the license as apache-2.0.
A fine-tuned version of Qwen3-TTS-12Hz-1.7B-Base trained on a custom speaker dataset using supervised fine-tuning (SFT).
Downloads · 30 days
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8% of all-time downloads
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.safetensors4.5 GB · 100%
From the Hugging Face model README
A fine-tuned version of Qwen3-TTS-12Hz-1.7B-Base trained on a custom speaker dataset using supervised fine-tuning (SFT).
pip install qwen-tts torch torchaudio
import torch
import soundfile as sf
from qwen_tts import Qwen3TTSModel
tts = Qwen3TTSModel.from_pretrained(
"thunk6/qwen3-tts-custom-voice",
device_map="cuda:0",
dtype=torch.bfloat16,
)
wavs, sr = tts.generate_custom_voice(
text="Hello, this is my cloned voice.",
speaker="my_custom_voice",
)
sf.write("output.wav", wavs[0], sr)
| Setting | Value |
|---|---|
| Base model | Qwen3-TTS-12Hz-1.7B-Base |
| Fine-tuning method | SFT |
| Learning rate | 2e-6 |
| Batch size | 4 |
| Epochs | 10 |
| Hardware | A100 80GB |