Qwen3 TTS is Insane — Voice Cloning, Voice Design & Multi-Speaker Audio in ComfyUI

Опубликовано: 16 Май 2026
на канале: Viraj Builds
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🎙️ Qwen 3 TTS in ComfyUI — Voice Design, Voice Cloning & Multi-Speaker Audio (Full Workflow)

In this video, I walk you through the complete Qwen 3 TTS workflow inside ComfyUI — covering voice design from scratch, zero-shot voice cloning using your own voice, custom voice control with emotion tags, and multi-speaker podcast-style audio generation.

Qwen 3 TTS is a powerful open-source text-to-speech model released under the Apache 2.0 license — meaning it's free for commercial use with no permission required from Alibaba.

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⏱️ TIMESTAMPS
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0:00 – Introduction & What is Qwen 3 TTS
0:24 – ComfyUI Workflow Overview
0:36 – Installing the Custom Node Pack (auto-downloads models)
1:14 – Voice Design: Describing a voice from scratch
1:48 – Voice Design Output Demo
2:04 – Voice Cloning: Uploading your own voice
2:13 – How Qwen 3 ASR transcribes your reference audio
3:10 – X-Vector Only Setting Explained (critical tip!)
3:45 – Voice Clone Output Demo
4:35 – Custom Voice: Using pre-loaded timbres (9 built-in voices)
5:12 – Emotion/Style Tags: Happy, Sad & Default
6:07 – Multi-Speaker Audio Generation: The Role Bank
6:40 – Dialogue Inference Node & Pause Controls
7:50 – Multi-Speaker Podcast Output Demo
9:45 – What's Next: Talking Head AI Avatars

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🔑 KEY TAKEAWAYS
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✅ Use the 1.7B model if you have enough VRAM for best quality
✅ Always provide BOTH reference audio + transcribed text for voice cloning
✅ Set X-Vector Only → FALSE for higher quality voice clones
✅ Use Qwen 3 ASR to auto-transcribe your reference audio
✅ Multi-speaker scripts follow the format: RoleName: [dialogue]

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🔗 RESOURCES MENTIONED
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▸ Qwen 3 TTS Official Page → https://qwen.ai/blog?id=qwen3tts-0115
▸ ComfyUI Custom Node Pack → https://github.com/flybirdxx/ComfyUI-...
▸ Download the Workflow → https://drive.google.com/file/d/1oHPw...

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🏷️ WHO THIS IS FOR
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This tutorial is for AI developers, content creators, and no-code builders who want to generate high-quality, expressive AI voice audio — including cloned voices and multi-speaker dialogues — entirely locally or on the cloud.

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