Extensions/DVA_Qwen_TTS
ComfyUI Extension

DVA_Qwen_TTS

High-quality multilingual TTS with voice cloning, emotion control, and support for Qwen3-TTS models (CustomVoice, VoiceDesign, Base).

By SLVGITHUB·Created 7 months ago·Updated 6 months ago· 1
SLVGITHUB/QWEN3_TTS_DVA
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🎤 Qwen-TTS Nodes for ComfyUI

Qwen-TTS Banner ComfyUI Compatible License

Nodes to integrate Qwen3-TTS into ComfyUI with emotion support and voice cloning

Python Version PyTorch Hugging Face

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📋 Summary

✨ Features

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/features.png" alt="Qwen-TTS" width="800"/> </div>
  • 🎭 Support of emotions - synthesis of speech with different emotional colors
  • 🎤 Voice cloning - creation of voice duets from reference audio
  • 🌍 Multilingual - support for Russian, English and other languages
  • ⚡ High performance - optimization for CUDA and CPU
  • 🎨 Flexible setting - fine adjustment of synthesis parameters
  • 🔄 Batch processing - mass audio file generation

🚀 Installation

Method 1: Through ComfyUI Manager (recommended)

  1. Open ComfyUI Manager
  2. Go to Custom Nodes Install Install via Git URL
  3. Enter the URL: https://github.com/SLVGITHUB/QWEN3_TTS_DVA
  4. Press Install
  5. Restart the ComfyUI

Method 2: Manual Installation

`bash

Clone repository to custom_nodes directory

cd ComfyUI/custom_nodes git clone https://github.com/SLVGITHUB/QWEN3_TTS_DVA.git

Set dependencies

pip install -r requirements.txt

Or set manually

pip install qwen-tts soundfile openai-whisper faster_whisper `

Requirements

  • Python 3.8+
  • ComfyUI latest version
  • PyTorch 2.0+
  • Video card with CUDA support (recommended) or CPU

🎯 Nodes

📦 Qwen TTS Loader

Downloads Qwen-TTS speech model to memory

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/model_loader.png" alt="Model Loader" width="400"/> </div>

Supported models:

  • «Qwen3-TTS-Base`- for voice cloning
  • «Qwen3-TTS-CustomVoice» - a synthesis called speaker
  • «Qwen3-TTS-VoiceDesign» - text description synthesis

Parameters:

  • Calculation accuracy: fp16, bf16, fp32
  • Device: CUDA, CPU -Type of attention: standard, optimized

🎤 Qwen TTS Generate

Generates speech from text without reference audio

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/text_to_speech.png" alt="Speech Generation" width="400"/> </div>

Features:

  • Support languages: Russian, English, Chinese, Japanese and others
  • Emotional presets: neutral, cheerful, sad, angry, scared
  • Extended parameters: temperature, top-p, sample length
  • For CustomVoice: specifying the speaker’s name (e.g., "Vivian", "Alex", "Maya")

🎭 Qwen TTS Voice Clone

Clones voice from reference audio file

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/voice_cloning.png" alt="Voice cloning" width="400"/> </div>

Requirements:

  • Input audio (reference) - WAV, MP3, FLAC
  • Audio text (ref_text)
  • New text for synthesis

Perfect for:

  • Voice doubling
  • Voice-overs of content with a unique voice
  • Remaking of historical speeches

Attention!!! Reference audio must be in the following format: mono, 44.1kHz, PCM, 16bit

📚 Qwen TTS Batch Generate

Generates multiple audio files per run

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/batch_generation.png" alt="Batch generation" width="400"/> </div>

Functional:

  • Split text by specified separator (default is "|")
  • Parallel or sequential processing
  • Automatic file numbering
  • Support of different parameters for each segment

💾 Qwen TTS Audio Saver

Saves generated audio to disk

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/audio_saver.png" alt="Save audio" width="400"/> </div>

Save settings:

  • Format: WAV (16-bit, 24kHz)
  • Destination folder: «ComfyUI/output/tts/
  • Automatic file deletion
  • Metadata in JSON format
  • Overwrite or incremental save

🔀 Qwen TTS Emotion Mixer

Mixes options with different emotions

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/emotion_mixer.png" alt="Mixing emotions" width="400"/> </div>

Application:

  • Creating complex emotional transitions
  • Mixing 70% "calm" + 30% "energetic"
  • Real-time adjustment of weights
  • Normalization of the sum of weights up to 1.0

🎨 Example Workflow

<div align="center"> <img src="https://raw.githubusercontent.com/SLVGITHUB/QWEN3_TTS_DVA/main/images/workflow.png" alt="workflow" width="400"/> </div>

Typical use case:

  1. Upload the model via Qwen TTS Loader
  2. Generate speech via Qwen TTS Generate
  3. Set the save settings to Qwen TTS Audio Saver
  4. Start workflow

🔧 Model Parameters

Recommended settings

| Parameter | Qwen3-TTS-Base | Qwen3-TTS-CustomVoice | Qwen3-TTS-VoiceDesign | |--------|______|| | Temperature | 0.6-0.8 | 0.7-0.9 | 0.7-0.9 | | Top-P | 0.8-0.95 | 0.85-0.98 | 0.85-0.98 | | Sample length | 2048 | 1024 | 1024 |

Supported languages

  • 🇷🇺 Russian (ru)
  • 🇺🇸 English (en)
  • 🇨🇳 Chinese (zh)
  • 🇯🇵 Japanese (ja)
  • 🇰🇷 Korean (ko)
  • 🇫🇷 French (fr)
  • 🇩🇪 German (de)
  • 🇪🇸 Spanish (es)

📁 Project structure

QWEN3_TTS_DVA/ qwen_tts_comfy/ nodes.py # Basic ComfyUI Nodes __init__.py requirements.txt # Python dependencies README.md examples/ workflows/ audio_samples/ images/ # Images for documentation License

❓ Frequently asked questions

❓ Which model to choose?

  • For voice cloning: Qwen3-TTS-Base
  • For ready voices: Qwen3-TTS-CustomVoice
  • To create unique voices: Qwen3-TTS-VoiceDesign

❓ Why does it work slowly on the CPU?

TTS models require significant computing resources. It is recommended to use a GPU with CUDA support.

❓ How to improve synthesis quality?

  • Use longer reference audio for cloning
  • Experiment with temperature parameters and top-p
  • Use emotional presets for expressiveness

❓ Are other audio formats supported?

Input audio: WAV, MP3, FLAC, OGG Audio output: WAV (standard), can be converted through additional nodes

📄 License

This project is distributed under the Apache 2.0. license.

🔗 Useful links

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🌐 Official Qwen3-TTS Repository | 🤗 Models on Hugging Face | 💬 Problem Discussion

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🤝 Contribution to the project

Welcome:

  • Error messages
  • Proposals for improvement
  • Pull requests
  • Sample workflows
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Created with ❤️ for ComfyUI community

⭐ If you like this project, put a star on GitHub!

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