HunyuanImage 3.0 Technical Report
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
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Siyu Cao
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2025-09-30T12:13:38.178Z
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Siyu Cao
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Hangting Chen
admin_assigned
2025-09-30T12:13:46.654Z
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Hangting Chen
user
hangtingchen
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Peng Chen
admin_assigned
2025-09-30T12:13:56.096Z
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Peng Chen
user
pengchen
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Yiji Cheng
admin_assigned
2025-09-30T12:14:10.568Z
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yijicheng
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yiji
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Yutao Cui
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Xinchi Deng
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Ying Dong
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Kipper Gong
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Tianpeng Gu
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Xiusen Gu
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Tiankai Hang
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Duojun Huang
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Jie Jiang
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Zhengkai Jiang
admin_assigned
2025-09-30T12:15:24.753Z
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Jiang Zhengkai
user
jzzzzk
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Weijie Kong
admin_assigned
2025-09-30T12:15:36.040Z
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Weijie Kong
user
Knightbreeze
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Changlin Li
admin_assigned
2025-09-30T12:15:47.754Z
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Changlin Li
user
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Donghao Li
admin_assigned
2025-09-30T12:15:58.822Z
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Donghao Li
user
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Junzhe Li
admin_assigned
2025-09-30T12:16:08.530Z
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Junzhe Li
user
GingerLi
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Xin Li
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Yang Li
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Zhenxi Li
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Zhimin Li
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Jiaxin Lin
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Linus
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Lucaz Liu
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Shu Liu
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Songtao Liu
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Yu Liu
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Yuhong Liu
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Yanxin Long
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Fanbin Lu
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Qinglin Lu
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Yuyang Peng
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Yuanbo Peng
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Xiangwei Shen
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Yixuan Shi
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Jiale Tao
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Yangyu Tao
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Qi Tian
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Pengfei Wan
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Chunyu Wang
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Kai Wang
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Lei Wang
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Linqing Wang
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Lucas Wang
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Qixun Wang
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Weiyan Wang
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Hao Wen
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Bing Wu
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Jianbing Wu
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Yue Wu
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Senhao Xie
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Fang Yang
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Miles Yang
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Xiaofeng Yang
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Xuan Yang
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Zhantao Yang
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Jingmiao Yu
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Zheng Yuan
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Chao Zhang
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Jian-Wei Zhang
claimed_verified
2025-10-13T10:10:47.965Z
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Jian-Wei Zhang
user
Jarvis73
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Peizhen Zhang
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Shi-Xue Zhang
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Tao Zhang
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Weigang Zhang
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Yepeng Zhang
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Yingfang Zhang
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Zihao Zhang
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Zijian Zhang
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Penghao Zhao
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Zhiyuan Zhao
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Xuefei Zhe
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Jianchen Zhu
68db4706d2bf1f4b15ec73e9
Zhao Zhong
HunyuanImage 3.0 Technical Report
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
HunyuanImage 3.0, a multimodal model with an autoregressive framework, achieves state-of-the-art performance in image generation and text-image alignment using a Mixture-of-Experts architecture with over 80 billion parameters.
multimodal model autoregressive framework Chain-of-Thoughts schema progressive model pre-training aggressive model post-training Mixture-of-Experts (MoE) text-image alignment visual quality