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[中文](README.md) | English
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中文 | [English](README.md)
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# A Text To Speech node using Step-Audio-TTS in ComfyUI. Can speak, rap, sing, or clone voice.
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# Step-Audio-TTS 的 ComfyUI 节点, 文本转语音, 可说话, 唱歌, RAP, 或者克隆声音.
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## Update
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## 更新
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[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.
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[2025-03-07]⚒️: 自定义说话者直接在 `ComfyUI\models\TTS\Step-Audio-speakers\speakers_info.json` 中定义, 无需节点中输入.
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Move the `Step-Audio-speakers` folder from this repository to the `ComfyUI\models\TTS` folder. The structure is as follows:
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请将本仓库中 `Step-Audio-speakers` 文件夹移动到 `ComfyUI\models\TTS` 文件夹中, 结构如下:
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```
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ComfyUI\models\TTS
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@@ -17,11 +17,11 @@ ComfyUI\models\TTS
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├── Step-Audio-TTS-3B
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```
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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:
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然后就可在 `ComfyUI\models\TTS\Step-Audio-speakers` 文件夹下随意自定义说话者即可使用. 注意说话者名称配置一定要一致:
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[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:
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[2025-03-06]⚒️: 新增录音节点 `MW Audio Recorder` 可用麦克风录制音频, 进度条显示录制进度:
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@@ -34,11 +34,11 @@ You can then freely customize speakers under the `ComfyUI\models\TTS\Step-Audio-
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| **smooth** | 时频平滑系数(值越高越自然)<br>Time-frequency smoothing (higher=more natural) | 1,3,5,7,9,11 (奇数/odd numbers) | 建议语音:5,音乐:7<br>Recommended: 5 for speech, 7 for music |
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| **sample_rate** | 采样率(影响音质与文件大小)<br>Sampling rate (affects quality & size) | 16000/44100/48000 Hz | 44100=CD音质<br>44100=CD quality |
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[2025-03-02]⚒️: Add experimental `custom_mark`, surrounding with "()", for example `(温柔)(东北话)`, it may have an effect.
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[2025-03-02]⚒️: 增加实验性的 `custom_mark`, 用 "()" 包围例如 `(温柔)(东北话)`, 它可能会有效.
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[2025-02-25]⚒️: Support custom speaker `custom_stpeaker`.
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[2025-02-25]⚒️: 支持自定义说话者 `custom_speaker`.
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## Installation
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## 安装
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```
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cd ComfyUI/custom_nodes
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@@ -50,31 +50,30 @@ pip install -r requirements.txt
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./python_embeded/python.exe -m pip install -r requirements.txt
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```
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## Model Download
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## 模型下载
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Download to the `ComfyUI\models\TTS` folder
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下载到 `ComfyUI\models\TTS` 文件夹中.
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### Huggingface
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| Models | Links |
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| 模型 | 链接 |
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|-------|-------|
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| Step-Audio-Tokenizer | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-Tokenizer) |
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| Step-Audio-TTS-3B | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-TTS-3B) |
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### Modelscope
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| Models | Links |
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| 模型 | 链接 |
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|-------|-------|
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| Step-Audio-Tokenizer | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-Tokenizer) |
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| Step-Audio-TTS-3B | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-TTS-3B) |
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## 支持 中文, 英文, 韩语, 日语, 四川话, 粤语等
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## Supports Chinese, English, Korean, Japanese, Sichuanese, Cantonese etc.
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## 致谢
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## Acknowledgements
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Part of the code for this project comes from:
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本项目的部分代码来自:
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* [Step-Audio](https://github.com/stepfun-ai/Step-Audio)
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* [CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
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* [transformers](https://github.com/huggingface/transformers)
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* [FunASR](https://github.com/modelscope/FunASR)
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Thank you to all the open-source projects for their contributions to this project!
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感谢以上所有开源项目对本项目开源做出的贡献!
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@@ -1,14 +1,14 @@
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中文 | [English](README-en.md)
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[中文](README-CN.md) | English
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# Step-Audio-TTS 的 ComfyUI 节点, 文本转语音, 可说话, 唱歌, RAP, 或者克隆声音.
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# A Text To Speech node using Step-Audio-TTS in ComfyUI. Can speak, rap, sing, or clone voice.
|
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## 更新
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## Update
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[2025-03-07]⚒️: 自定义说话者直接在 `ComfyUI\models\TTS\Step-Audio-speakers\speakers_info.json` 中定义, 无需节点中输入.
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[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.
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请将本仓库中 `Step-Audio-speakers` 文件夹移动到 `ComfyUI\models\TTS` 文件夹中, 结构如下:
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Move the `Step-Audio-speakers` folder from this repository to the `ComfyUI\models\TTS` folder. The structure is as follows:
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```
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ComfyUI\models\TTS
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@@ -17,11 +17,11 @@ ComfyUI\models\TTS
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├── Step-Audio-TTS-3B
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```
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然后就可在 `ComfyUI\models\TTS\Step-Audio-speakers` 文件夹下随意自定义说话者即可使用. 注意说话者名称配置一定要一致:
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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:
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[2025-03-06]⚒️: 新增录音节点 `MW Audio Recorder` 可用麦克风录制音频, 进度条显示录制进度:
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[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:
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@@ -34,11 +34,11 @@ ComfyUI\models\TTS
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| **smooth** | 时频平滑系数(值越高越自然)<br>Time-frequency smoothing (higher=more natural) | 1,3,5,7,9,11 (奇数/odd numbers) | 建议语音:5,音乐:7<br>Recommended: 5 for speech, 7 for music |
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| **sample_rate** | 采样率(影响音质与文件大小)<br>Sampling rate (affects quality & size) | 16000/44100/48000 Hz | 44100=CD音质<br>44100=CD quality |
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[2025-03-02]⚒️: 增加实验性的 `custom_mark`, 用 "()" 包围例如 `(温柔)(东北话)`, 它可能会有效.
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[2025-03-02]⚒️: Add experimental `custom_mark`, surrounding with "()", for example `(温柔)(东北话)`, it may have an effect.
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[2025-02-25]⚒️: 支持自定义说话者 `custom_speaker`.
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[2025-02-25]⚒️: Support custom speaker `custom_stpeaker`.
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## 安装
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## Installation
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```
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cd ComfyUI/custom_nodes
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@@ -50,30 +50,31 @@ pip install -r requirements.txt
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./python_embeded/python.exe -m pip install -r requirements.txt
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```
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## 模型下载
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## Model Download
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下载到 `ComfyUI\models\TTS` 文件夹中.
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Download to the `ComfyUI\models\TTS` folder
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### Huggingface
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| 模型 | 链接 |
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| Models | Links |
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|-------|-------|
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| Step-Audio-Tokenizer | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-Tokenizer) |
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| Step-Audio-TTS-3B | [🤗huggingface](https://huggingface.co/stepfun-ai/Step-Audio-TTS-3B) |
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### Modelscope
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| 模型 | 链接 |
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| Models | Links |
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|-------|-------|
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| Step-Audio-Tokenizer | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-Tokenizer) |
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| Step-Audio-TTS-3B | [modelscope](https://modelscope.cn/models/stepfun-ai/Step-Audio-TTS-3B) |
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## 支持 中文, 英文, 韩语, 日语, 四川话, 粤语等
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## 致谢
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## Supports Chinese, English, Korean, Japanese, Sichuanese, Cantonese etc.
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本项目的部分代码来自:
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## Acknowledgements
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Part of the code for this project comes from:
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* [Step-Audio](https://github.com/stepfun-ai/Step-Audio)
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* [CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
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* [transformers](https://github.com/huggingface/transformers)
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* [FunASR](https://github.com/modelscope/FunASR)
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感谢以上所有开源项目对本项目开源做出的贡献!
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Thank you to all the open-source projects for their contributions to this project!
|
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