MegaStyle-1.4M

Dataset of [MegaStyle](https://jeoyal.github.io/MegaStyle/). MegaStyle-1.4M is a large-scale style dataset built through a scalable pipeline that leverages consistent text-to-image style mapping of Qwen-Image. It combines 170K curated style prompts with 400K content prompts to generate 1.4M high-quality images that share strong intra-style consistency while covering diverse fine-grained styles.

All assets and code are under the [license](./LICENSE.txt) unless specified otherwise.

If this work is helpful for your research, please consider citing the following BibTeX entry.
```
@article{gao2026megastyle,
title={MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping},
author={Gao, Junyao and Liu, Sibo and Li, Jiaxing and Sun, Yanan and Tu, Yuanpeng and Shen, Fei and Zhang, Weidong and Zhao, Cairong and Zhang, Jun},
journal={arXiv preprint arXiv:2604.08364},
year={2026}
}
```

本数据集源自[MegaStyle](https://jeoyal.github.io/MegaStyle/)项目。其中MegaStyle-1.4M是一套通过可扩展流程构建的大规模风格数据集，该流程依托通义千问图像模型（Qwen-Image）的一致性文本到图像风格映射能力搭建。它结合17万条精选风格提示词与40万条内容提示词，生成了140万张高质量图像，这些图像既具备极强的风格内一致性，又覆盖了丰富的细粒度风格类型。

除非另有说明，本数据集的所有素材与代码均遵循[许可协议](./LICENSE.txt)。

若本研究工作对你的科研有所助益，请考虑引用如下BibTeX条目：

@article{gao2026megastyle,
title={MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping},
author={Gao, Junyao and Liu, Sibo and Li, Jiaxing and Sun, Yanan and Tu, Yuanpeng and Shen, Fei and Zhang, Weidong and Zhao, Cairong and Zhang, Jun},
journal={arXiv预印本 arXiv:2604.08364},
year={2026}
}