Model reference · open weights
SoulX-Singer is an open-weight audio or speech model from Soul-AILab. SoulX-Singer (BF16) weighs 2.8 GB; the smallest configuration that runs it is RTX 3060 12 GB.
Summary of the Soul-AILab/SoulX-Singer model card, 2026-10-01
What it is
| Released by | Soul-AILab |
|---|---|
| Released | 2026-02-06 |
| VRAM | 2.8 GB for the weights |
What it runs on
| Card | One stream | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
SoulX-Singer is a high-fidelity, zero-shot singing voice synthesis model that enables users to generate realistic singing voices for unseen singers. It supports melody-conditioned (F0 contour) and score-conditioned (MIDI notes) control for precise pitch, rhythm, and expression.
For more details, please refer to the paper: SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis.
git clone https://github.com/Soul-AILab/SoulX-Singer.git
cd SoulX-Singer
conda create -n soulxsinger -y python=3.10
conda activate soulxsinger
pip install -r requirements.txt
pip install -U huggingface_hub
# Download the SoulX-Singer SVS model
hf download Soul-AILab/SoulX-Singer --local-dir pretrained_models/SoulX-Singer
# Download models required for preprocessing
hf download Soul-AILab/SoulX-Singer-Preprocess --local-dir pretrained_models/SoulX-Singer-Preprocess
bash example/infer.sh
We use the Apache 2.0 license. Researchers and developers are free to use the codes and model weights of our SoulX-Singer. Check the license at LICENSE for more details.
This project provides a singing voice synthesis model for vocal generation capable of zero-shot voice cloning, intended for academic research, educational purposes, and legitimate applications, such as personalized vocal synthesis and assistive technologies.
Please note: We advocate for the responsible development and use of AI and encourage the community to uphold safety and ethical principles in AI research and applications. If you have any concerns regarding ethics or misuse, please contact us.
@misc{soulxsinger,
title={SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis},
author={Jiale Qian and Hao Meng and Tian Zheng and Pengcheng Zhu and Haopeng Lin and Yuhang Dai and Hanke Xie and Wenxiao Cao and Ruixuan Shang and Jun Wu and Hongmei Liu and Hanlin Wen and Jian Zhao and Zhonglin Jiang and Yong Chen and Shunshun Yin and Ming Tao and Jianguo Wei and Lei Xie and Xinsheng Wang},
year={2026},
eprint={2602.07803},
archivePrefix={arXiv},
primaryClass={eess.AS},
url={https://arxiv.org/abs/2602.07803},
}
If you are interested in leaving a message to our work, feel free to email qianjiale@soulapp.cn or menghao@soulapp.cn or wangxinsheng@soulapp.cn
You’re welcome to join our WeChat or Soul APP group for technical discussions, updates.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works