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ComfyDeploy: How Comfyui-Spark-TTS works in ComfyUI?

What is Comfyui-Spark-TTS?

ComfyUI-SparkTTS is a custom ComfyUI node implementation of SparkTTS, an advanced text-to-speech system that harnesses the power of large language models (LLMs) to generate highly accurate and natural-sounding speech.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for Comfyui-Spark-TTS and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI-SparkTTS

ComfyUI_SparkTTS is a custom ComfyUI node implementation of SparkTTS, an advanced text-to-speech system that harnesses the power of large language models (LLMs) to generate highly accurate and natural-sounding speech.

SparkTTS_Nodes

News & Updates

  • 2025/03/21: Update ComfyUI-SparkTTS to v1.1.0 ( update.md )

    • Integrated internationalization (i18n) support for multiple languages.
    • Improved user interface for dynamic language switching.
    • Enhanced accessibility for non-English speaking users with fully translatable features.

Features

ComfyUI-SparkTTS provides the following main functionalities:

kokoroTTS_menu

  1. Voice Creation: Create a customized voice by adjusting parameters like gender, pitch, and speed.
  2. Voice Cloning: Clone a voice from a reference audio sample.
  3. Advanced Voice Cloning: Clone a voice from a reference audio with control over pitch and speed.
  4. Audio Processing: Load and process audio files.
  5. Audio Recording: Directly record audio for voice cloning or processing.

Installation

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

install requirment.txt in the ComfyUI-SparkTTS 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-SparkTTS

install requirment.txt in the ComfyUI-SparkTTS folder

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

Method 3: Install via Comfy CLI

Ensure pip install comfy-cli is installed. Installing ComfyUI comfy install (if you don't have ComfyUI Installed) install the ComfyUI-SparkTTS, use the following command:

comfy node registry-install Comfyui-Spark-TTS

install requirment.txt in the ComfyUI-SparkTTS folder

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

4. Manually download the models:

  • The model will be automatically downloaded to ComfyUI/models/TTS/SparkTTS/ when first time using the custom node.
  • Manually download the SparkTTS-2.0 model by visiting this link, then download the files and place them in the /ComfyUI/models/TTSSparkTTS/SparkTTS-2.0 folder.

Nodes

SparkTTS Voice Creator 🔊

This node allows you to create a customized voice by adjusting parameters.

Inputs:

  • text: Text to synthesize.
  • gender: Gender of the voice (female or male).
  • pitch: Pitch level of the voice (very_low, low, moderate, high, very_high).
  • speed: Speed level of the voice (very_low, low, moderate, high, very_high).
  • batch_texts (optional): Additional texts for better control over pacing and intonation.

Outputs:

  • audio: Generated audio with the customized voice.

SparkTTS Voice Clone 🔊

This node allows you to clone a voice from a reference audio sample.

Inputs:

  • text: Text to synthesize with the cloned voice.
  • reference_audio: The audio sample to clone the voice from.
  • reference_text: Transcript of the reference audio to improve cloning quality.
  • max_tokens: Controls the maximum length of generated speech.
  • batch_texts (optional): Additional texts for better control over pacing and intonation.

Outputs:

  • audio: Generated audio with the cloned voice.

SparkTTS Advanced Voice Clone 🔊

This node allows you to clone a voice from a reference audio with control over pitch and speed.

Inputs:

  • text: Text to synthesize with the cloned voice.
  • reference_audio: The audio sample to clone the voice from.
  • reference_text: Transcript of the reference audio to improve cloning quality.
  • pitch: Pitch level of the voice.
  • speed: Speed level of the voice.
  • max_tokens: Controls the maximum length of generated speech.
  • batch_texts (optional): Additional texts for better control over pacing and intonation.

Outputs:

  • audio: Generated audio with the cloned voice.

Audio Recorder 🔊

This node allows you to directly record audio.

Inputs:

  • recording: Set to True to start recording audio.
  • recording_duration: Recording duration in seconds.
  • sample_rate: Audio sample rate.
  • noise_threshold: Noise reduction threshold.
  • smoothing_kernel_size: Size of the kernel used for smoothing the audio signal.

Outputs:

  • audio: Recorded audio data.

Example Workflows

Check the example_workflows directory for example workflows.

Supported Languages

SparkTTS currently supports the following languages:

  • English
  • Chinese

License

GPL-3.0 License