Qwen3-TTS
Alibaba's open voice models: expressive, streaming-capable speech with free-form voice design.
ComfyUI-Qwen3-TTS — проект с открытым исходным кодом из категории «Аудио» от DarioFT (DarioFT/ComfyUI-Qwen3-TTS на GitHub). У него 304 звезды на GitHub и 30 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 9 февраля 2026.
Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.
Add the custom node pack to your ComfyUI setup.
Choose the 1.7B or 0.6B variant.
Create custom voices or clone from samples.
Connect TTS into your image, video, or audio pipeline.
Runs the 1.7B and 0.6B Qwen speech models.
Craft new voices from scratch in the node UI.
Clone voices from audio samples.
Adapt the model to your own voice data.
Visual graphs make complex pipelines easy.
Check the repo terms before commercial use.
Download the source and move into the project folder.
git clone https://github.com/DarioFT/ComfyUI-Qwen3-TTS.git
cd ComfyUI-Qwen3-TTSEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at DarioFT/ComfyUI-Qwen3-TTS with 30 forks. Check the repo's contributors and recent commits to see how active maintenance is.
It uses a custom license — read the repo's terms before using it commercially.
Yes — these are custom nodes that run inside ComfyUI.
The 1.7B and 0.6B Qwen3-TTS models.
Yes — fine-tuning is a listed feature of the node suite.
Alibaba's open voice models: expressive, streaming-capable speech with free-form voice design.
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Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если ComfyUI-Qwen3-TTS вам не подходит.
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1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к ComfyUI-Qwen3-TTS — продолжайте изучать полку по обе стороны от него.
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Native desktop UI for live Whisper transcription and translation.
Capable AI keyboard for reliable speech transcription.
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Live captions and AI meeting review from any system audio — local-first.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.