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ComfyUI Audio Nodes

ComfyUI-EdgeTTS is a powerful text-to-speech node for ComfyUI, leveraging Microsoft's Edge TTS capabilities. It enables seamless conversion of text into natural-sounding speech, supporting multiple languages and voices. Ideal for enhancing user interactions, this node is easy to integrate and customize, making it perfect for various applications.

edgeTTS

Features

Edge TTS Node

  • Edge TTS: Convert text to speech using Microsoft Edge TTS
    • Multiple languages and voices support
    • Adjustable speech rate and pitch
    • High-quality voice synthesis
    • Configurable via config.json

Speech to Text Node

  • Whisper STT: High-accuracy speech recognition
    • Multiple language support with auto-detection
    • Multiple model sizes (tiny to large)
    • Supports ComfyUI audio format
    • Language detection confidence reporting

Audio File Node

  • Save Audio: Export audio files
    • Supports WAV, MP3, FLAC formats
    • Quality presets (high/medium/low)
    • Custom file naming and paths
    • Automatic file numbering

Installation

Method 1. install on ComfyUI-Manager, search Comfyui-EdgeTTS and install

install requirment.txt in the ComfyUI-EdgeTTS folder

./ComfyUI/python_embeded/python -m pip install -r requirements.txt

Method 2. Clone this repository to your ComfyUI custom_nodes folder:

cd ComfyUI/custom_nodes
git clone https://github.com/1038lab/ComfyUI-EdgeTTS.git

install requirment.txt in the ComfyUI-EdgeTTS folder

./ComfyUI/python_embeded/python -m pip install -r requirements.txt

Requirements

  • Python packages (see requirements.txt)
  • CUDA compatible GPU (optional, for faster Whisper processing)

Usage Examples

Text to Speech

  1. Add Edge TTS node to workflow
  2. Input text and select voice
  3. Adjust speed and pitch if needed
  4. Connect to Save Audio node for export

https://github.com/user-attachments/assets/a5b9165b-a413-49fd-989e-0ef3141afce7

Speech to Text

  1. Add Whisper STT node
  2. Connect audio input
  3. Select model size and language (or auto-detect)
  4. Run to get transcription TTS-STT

Supported Voices

Language Female Voices Male Voices
Main Languages
Chinese XiaoXiao (Cheerful), XiaoYi (Warm) Yunjian (Formal), Yunxi (Casual), Yunxia (Warm), Yunyang (Pro)
English Jenny (Casual), Aria (Pro), Sonia (GB), Natasha (AU) Guy (Casual), Davis (Pro), Ryan (GB), William (AU)
Japanese Nanami (Natural), Aoi (Cheerful) Keita (Formal)
Korean SunHi (Warm) InJoon (Formal)
European Languages
French Denise (Pro) Henri (Formal)
German Katja (Clear) Conrad (Pro)
Spanish Elvira (Warm) Alvaro (Friendly)
Russian Svetlana (Pro) Dmitry (Formal)
Italian Elsa (Warm) Diego (Formal)
Portuguese Francisca (BR), Raquel (PT) Antonio (BR)
Dutch Colette (Warm) Maarten (Formal)
Polish Zofia (Natural) Marek (Formal)
Turkish Emel (Warm) Ahmet (Formal)
Asian Languages
Arabic Zariyah (Warm) Hamed (Formal)
Hindi Swara (Warm) Madhur (Formal)
Indonesian Gadis (Warm) Ardi (Formal)

Each language provides at least one male and female voice option, allowing you to choose different voice styles based on your needs.

Credits

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Description
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Readme GPL-3.0
124 KiB
Languages
Python 100%