Step Fun EditX
Files Needed for Vantage-Step-Audio-EditX ComfyUI node
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 6,57 GB
- Versión
- vmodel
- Actualizado
- 2 oct 2026
- Descargas
- 0
- Fuente
- Hugging Face
Descripción de la fuente
Step-Audio-EditX
Files Needed for Vantage-Step-Audio-EditX ComfyUI node
Original Model Link: https://huggingface.co/stepfun-ai/Step-Audio-EditX
Watch us at Youtube: @VantageWithAI
After downloading the models, copy them into ComfyUI/models, you should have the following structure:
ComfyUI/
├── models/
│ ├── Step-Audio-EditX/
│ ├──── CosyVoice-300M-25Hz/
│ │ ├─── campplus.onnx
│ │ ├─── cosyvoice.yaml
│ │ ├─── flow.pt
│ │ └─── hift.pt
│ ├──── dengcunqin/
│ ├──── └─── speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/
│ │ ├─── am.mvn
│ │ ├─── config.yaml
│ │ ├─── configuration.json
│ │ ├─── model.pt
│ │ ├─── seg_dict
│ │ ├─── tokens.json
│ │ ├─── tokens.txt
│ │ └─── write_tokens_from_txt.py
│ ├── model.safetensors
│ └── speech_tokenizer_v1.onnx
Features
-
Zero-Shot TTS
- Excellent zero-shot TTS cloning for Mandarin, English, Sichuanese, and Cantonese.
- To use a dialect, just add a [Sichuanese] or [Cantonese] tag before your text.
-
Emotion and Speaking Style Editing
- Remarkably effective iterative control over emotions and styles, supporting dozens of options for editing.
- Emotion Editing : [ Angry, Happy, Sad, Excited, Fearful, Surprised, Disgusted, etc. ]
- Speaking Style Editing: [ Act_coy, Older, Child, Whisper, Serious, Generous, Exaggerated, etc.]
- Editing with more emotion and more speaking styles is on the way. Get Ready! 🚀
- Remarkably effective iterative control over emotions and styles, supporting dozens of options for editing.
-
Paralinguistic Editing:
- Precise control over 10 types of paralinguistic features for more natural, human-like, and expressive synthetic audio.
- Supporting Tags:
- [ Breathing, Laughter, Suprise-oh, Confirmation-en, Uhm, Suprise-ah, Suprise-wa, Sigh, Question-ei, Dissatisfaction-hnn ]
For more examples, see demo page.
Citation
@misc{yan2025stepaudioeditxtechnicalreport,
title={Step-Audio-EditX Technical Report},
author={Chao Yan and Boyong Wu and Peng Yang and Pengfei Tan and Guoqiang Hu and Yuxin Zhang and Xiangyu and Zhang and Fei Tian and Xuerui Yang and Xiangyu Zhang and Daxin Jiang and Gang Yu},
year={2025},
eprint={2511.03601},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2511.03601},
}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 2 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoStep-Audio-EditX/model.safetensors
safetensors · 6,57 GB · SHA-256 52004bb64a1f…d7b3 · Hugging Face
DescargarExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: apache-2.0 pipeline_tag: text-to-speech library_name: transformers --- ## Step-Audio-EditX **Files Needed for Vantage-Step-Audio-EditX ComfyUI node** **Original Model Link:** [https://huggingface.co/stepfun-ai/Step-Audio-EditX](https://huggingface.co/stepfun-ai/Step-Audio-EditX) **Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai) 🌟 [ComfyUI Node](https://github.com/stepfun-ai/Step-Audio-EditX) After downloading the models, copy them into ComfyUI/models, you should have the following structure: ``` ComfyUI/ ├── models/ │ ├── Step-Audio-EditX/ │ ├──── CosyVoice-300M-25Hz/ │ │ ├─── campplus.onnx │ │ ├─── cosyvoice.yaml │ │ ├─── flow.pt │ │ └─── hift.pt │ ├──── dengcunqin/ │ ├──── └─── speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/ │ │ ├─── am.mvn │ │ ├─── config.yaml │ │ ├─── configuration.json │ │ ├─── model.pt │ │ ├─── seg_dict │ │ ├─── tokens.json │ │ ├─── tokens.txt │ │ └─── write_tokens_from_txt.py │ ├── model.safetensors │ └── speech_tokenizer_v1.onnx ``` ## Features - **Zero-Shot TTS** - Excellent zero-shot TTS cloning for Mandarin, English, Sichuanese, and Cantonese. - To use a dialect, just add a **[Sichuanese]** or **[Cantonese]** tag before your text. - **Emotion and Speaking Style Editing** - Remarkably effective iterative control over emotions and styles, supporting **dozens** of options for editing. - Emotion Editing : [ *Angry*, *Happy*, *Sad*, *Excited*, *Fearful*, *Surprised*, *Disgusted*, etc. ] - Speaking Style Editing: [ *Act_coy*, *Older*, *Child*, *Whisper*, *Serious*, *Generous*, *Exaggerated*, etc.] - Editing with more emotion and more speaking styles is on the way. **Get Ready!** 🚀 - **Paralinguistic Editing**: - Precise control over 10 types of paralinguistic features for more natural, human-like, and expressive synthetic audio. - Supporting Tags: - [ *Breathing*, *Laughter*, *Suprise-oh*, *Confirmation-en*, *Uhm*, *Suprise-ah*, *Suprise-wa*, *Sigh*, *Question-ei*, *Dissatisfaction-hnn* ] For more examples, see [demo page](https://stepaudiollm.github.io/step-audio-editx/). ## Citation ``` @misc{yan2025stepaudioeditxtechnicalreport, title={Step-Audio-EditX Technical Report}, author={Chao Yan and Boyong Wu and Peng Yang and Pengfei Tan and Guoqiang Hu and Yuxin Zhang and Xiangyu and Zhang and Fei Tian and Xuerui Yang and Xiangyu Zhang and Daxin J...
Source context: 0 downloads · 2 likes · Pipeline text-to-speech · Library transformers · Repo vantagewithai/Step-Fun-EditX-ComfyUI
