Adelacici/MegaStyle-1.4M
Dataset of 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 unless specified otherwise. If this work is helpful for your research, please consider citing the… See the full description on the dataset page: https://huggingface.co/datasets/Adelacici/MegaStyle-1.4M.
Dataset of 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 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}
}