Datasets:
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license: other
task_categories:
- text-to-image
tags:
- style transfer
- text-to-image generation
language:
- en
size_categories:
- 1M<n<10M
---
Dataset of [MegaStyle](https://jeoyal.github.io/MegaStyle/) and [MegaStyle++](https://jeoyal.github.io/MegaStyle/).
[MegaStyle-1.4M](https://huggingface.co/datasets/tencent/MegaStyle-1.4M/tree/v1.0) 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.
[MegaStyle++-8M](https://huggingface.co/datasets/tencent/MegaStyle-1.4M/tree/v2.0) further scales up the style space through a hierarchical style definition. It covers 150K overall style identities and 1M fine-grained style prompts, resulting in 8M high-quality stylized images with substantially improved style diversity and coverage.
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}
}
@article{gao2026megastyle++,
title={MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition},
author={Gao, Junyao and Liu, Sibo and Li, Jiaxing and Sun, Yanan and Zhang, Weidong and Zhang, Jun and Zhao, Cairong},
journal={arXiv preprint arXiv:2609.01423},
year={2026}
}
``` |