# ComfyUI_StepAudioTTS
**Repository Path**: micdav/ComfyUI_StepAudioTTS
## Basic Information
- **Project Name**: ComfyUI_StepAudioTTS
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-19
- **Last Updated**: 2026-01-09
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[中文](README-CN.md) | English
# A Text To Speech node using Step-Audio-TTS in ComfyUI. Can speak, rap, sing, or clone voice.

## Update
[2025-03-21] ⚒️: Completely refactored the code, added more tunable parameters, and `max_length` can be adjusted according to the text length. Optional `unload_model` to choose whether to unload the model to accelerate inference speed.
[2025-03-07]⚒️: Custom speakers can be defined directly in `ComfyUI\models\TTS\Step-Audio-speakers\speakers_info.json` without the need for input in the node.
Move the `Step-Audio-speakers` folder from this repository to the `ComfyUI\models\TTS` folder. The structure is as follows:
```
ComfyUI\models\TTS
├── Step-Audio-Tokenizer
├── Step-Audio-speakers
├── Step-Audio-TTS-3B
```
You can then freely customize speakers under the `ComfyUI\models\TTS\Step-Audio-speakers` folder for use. Ensure that the speaker name configuration matches exactly:

[2025-03-06]⚒️: New recording node `MW Audio Recorder` can be used to record audio with a microphone, and the progress bar displays the recording progress:

| 参数名/Parameter | 作用描述/Description | 范围/Range | 注意事項/Notes |
|---------------------|------------------------------------------------------------------------------------|--------------------------------|------------------------------------------------------------------------------|
| **trigger** | 录音触发开关 - 设为True开始录音
Recording trigger - Set to True to start recording | Boolean (True/False) | 需要从False切到True才能触发
Requires changing from False to True to activate |
| **record_sec** | 主录音时长(秒)
Main recording duration (seconds) | 1-60 (整数/integer) | 实际时长
Actual duration |
| **n_fft** | FFT窗口大小(影响频率分辨率)
FFT window size (affects frequency resolution) | 512,1024,...,4096 (512倍数/multiplies) | 值越大频率分辨率越高
Higher values give better frequency resolution |
| **sensitivity** | 降噪灵敏度(值越高越激进)
Noise reduction sensitivity (higher=more aggressive) | 0.5-3.0 (步长0.1/step 0.1) | 1.2=标准办公室环境
1.2=standard office environment |
| **smooth** | 时频平滑系数(值越高越自然)
Time-frequency smoothing (higher=more natural) | 1,3,5,7,9,11 (奇数/odd numbers) | 建议语音:5,音乐:7
Recommended: 5 for speech, 7 for music |
| **sample_rate** | 采样率(影响音质与文件大小)
Sampling rate (affects quality & size) | 16000/44100/48000 Hz | 44100=CD音质
44100=CD quality |
[2025-03-02]⚒️: Add experimental `custom_mark`, surrounding with "()", for example `(温柔)(东北话)`, it may have an effect.
[2025-02-25]⚒️: Support custom speaker `custom_stpeaker`.
## Installation
```
cd ComfyUI/custom_nodes
git clone https://github.com/billwuhao/ComfyUI_StepAudioTTS.git
cd ComfyUI_StepAudioTTS
pip install -r requirements.txt
# python_embeded
./python_embeded/python.exe -m pip install -r requirements.txt
```
## Model Download
Download to the `ComfyUI\models\TTS` folder
### Huggingface
| Models | Links |
|-------|-------|
| Step-Audio-Tokenizer | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-Tokenizer) |
| Step-Audio-TTS-3B | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-TTS-3B) |
### Modelscope
| Models | Links |
|-------|-------|
| Step-Audio-Tokenizer | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-Tokenizer) |
| Step-Audio-TTS-3B | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-TTS-3B) |
## Supports Chinese, English, Korean, Japanese, Sichuanese, Cantonese etc.
## Acknowledgements
Part of the code for this project comes from:
* [Step-Audio](https://github.com/stepfun-ai/Step-Audio)
* [CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
* [transformers](https://github.com/huggingface/transformers)
* [FunASR](https://github.com/modelscope/FunASR)
Thank you to all the open-source projects for their contributions to this project!