HunyuanImage 3.0 Technical Report
Abstract
We present HunyuanImage 3.0, a native multimodal model that unifies multimodal understanding and generation within an autoregressive framework, with its image generation module publicly available. The achievement of HunyuanImage 3.0 relies on several key components, including meticulous data curation, advanced architecture design, a native Chain-of-Thoughts schema, progressive model pre-training, aggressive model post-training, and an efficient infrastructure that enables large-scale training and inference. With these advancements, we successfully trained a Mixture-of-Experts (MoE) model comprising over 80 billion parameters in total, with 13 billion parameters activated per token during inference, making it the largest and most powerful open-source image generative model to date. We conducted extensive experiments and the results of automatic and human evaluation of text-image alignment and visual quality demonstrate that HunyuanImage 3.0 rivals previous state-of-the-art models. By releasing the code and weights of HunyuanImage 3.0, we aim to enable the community to explore new ideas with a state-of-the-art foundation model, fostering a dynamic and vibrant multimodal ecosystem. All open source assets are publicly available at https://github.com/Tencent-Hunyuan/HunyuanImage-3.0
Cite
@article{arxiv.2509.23951,
title = {HunyuanImage 3.0 Technical Report},
author = {Siyu Cao and Hangting Chen and Peng Chen and Yiji Cheng and Yutao Cui and Xinchi Deng and Ying Dong and Kipper Gong and Tianpeng Gu and Xiusen Gu and Tiankai Hang and Duojun Huang and Jie Jiang and Zhengkai Jiang and Weijie Kong and Changlin Li and Donghao Li and Junzhe Li and Xin Li and Yang Li and Zhenxi Li and Zhimin Li and Jiaxin Lin and Linus and Lucaz Liu and Shu Liu and Songtao Liu and Yu Liu and Yuhong Liu and Yanxin Long and Fanbin Lu and Qinglin Lu and Yuyang Peng and Yuanbo Peng and Xiangwei Shen and Yixuan Shi and Jiale Tao and Yangyu Tao and Qi Tian and Pengfei Wan and Chunyu Wang and Kai Wang and Lei Wang and Linqing Wang and Lucas Wang and Qixun Wang and Weiyan Wang and Hao Wen and Bing Wu and Jianbing Wu and Yue Wu and Senhao Xie and Fang Yang and Miles Yang and Xiaofeng Yang and Xuan Yang and Zhantao Yang and Jingmiao Yu and Zheng Yuan and Chao Zhang and Jian-Wei Zhang and Peizhen Zhang and Shi-Xue Zhang and Tao Zhang and Weigang Zhang and Yepeng Zhang and Yingfang Zhang and Zihao Zhang and Zijian Zhang and Penghao Zhao and Zhiyuan Zhao and Xuefei Zhe and Jianchen Zhu and Zhao Zhong},
journal= {arXiv preprint arXiv:2509.23951},
year = {2026}
}