Pith Number

pith:YQKBZ3CU

pith:2025:YQKBZ3CUQHSWPWPK6O3SOP7KVF

not attested not anchored not stored refs resolved

HunyuanImage 3.0 Technical Report

Bing Wu, Changlin Li, Chao Zhang, Chunyu Wang, Donghao Li, Duojun Huang, Fanbin Lu, Fang Yang, Hangting Chen, Hao Wen, Jiale Tao, Jianbing Wu, Jianchen Zhu, Jian-Wei Zhang, Jiaxin Lin, Jie Jiang, Jingmiao Yu, Junzhe Li, Kai Wang, Kipper Gong, Lei Wang, Linqing Wang, Linus, Lucas Wang, Lucaz Liu, Miles Yang, Peizhen Zhang, Peng Chen, Pengfei Wan, Penghao Zhao, Qinglin Lu, Qi Tian, Qixun Wang, Senhao Xie, Shi-Xue Zhang, Shu Liu, Siyu Cao, Songtao Liu, Tao Zhang, Tiankai Hang, Tianpeng Gu, Weigang Zhang, Weijie Kong, Weiyan Wang, Xiangwei Shen, Xiaofeng Yang, Xinchi Deng, Xin Li, Xiusen Gu, Xuan Yang, Xuefei Zhe, Yang Li, Yangyu Tao, Yanxin Long, Yepeng Zhang, Yiji Cheng, Ying Dong, Yingfang Zhang, Yixuan Shi, Yuanbo Peng, Yue Wu, Yuhong Liu, Yu Liu, Yutao Cui, Yuyang Peng, Zhantao Yang, Zhao Zhong, Zhengkai Jiang, Zheng Yuan, Zhenxi Li, Zhimin Li, Zhiyuan Zhao, Zihao Zhang, Zijian Zhang

HunyuanImage 3.0 delivers an 80B-parameter MoE model unifying multimodal understanding and generation that matches prior state-of-the-art results while being fully open-sourced.

arxiv:2509.23951 v2 · 2025-09-28 · cs.CV

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\usepackage{pith}
\pithnumber{YQKBZ3CUQHSWPWPK6O3SOP7KVF}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

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.

C2weakest assumption

That the reported human and automatic evaluations used representative test sets and unbiased raters, and that no undisclosed data or compute advantages explain the competitive results.

C3one line summary

HunyuanImage 3.0 delivers an 80B-parameter MoE model unifying multimodal understanding and generation that matches prior state-of-the-art results while being fully open-sourced.

References

45 extracted · 45 resolved · 15 Pith anchors

[1] Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851 2020

[2] Denoising Diffusion Implicit Models 2010 · arXiv:2010.02502

[3] Diffusion models beat gans on image synthesis 2021

[4] Score-Based Generative Modeling through Stochastic Differential Equations 2011 · arXiv:2011.13456

[5] High- resolution image synthesis with latent diffusion models 2022

Formal links

3 machine-checked theorem links

Cited by

38 papers in Pith

Gen-Searcher: Reinforcing Agentic Search for Image Generation

Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation

Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models

VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents

Receipt and verification

First computed	2026-05-17T23:38:49.434990Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c4141cec5481e567d9eaf3b7273feaa96636f43db9659f58d8d650690a8fadb0

Aliases

arxiv: 2509.23951 · arxiv_version: 2509.23951v2 · doi: 10.48550/arxiv.2509.23951 · pith_short_12: YQKBZ3CUQHSW · pith_short_16: YQKBZ3CUQHSWPWPK · pith_short_8: YQKBZ3CU

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQKBZ3CUQHSWPWPK6O3SOP7KVF \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: c4141cec5481e567d9eaf3b7273feaa96636f43db9659f58d8d650690a8fadb0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0e6cebf8e6403076d2e4d1c409e0d5883523b4ef369be85cef11b61ab36c2e1e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-09-28T16:14:10Z",
    "title_canon_sha256": "306199ab13eb864830f8984ac307ff631c684db66f2573fa72da20a42d5e4e48"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.23951",
    "kind": "arxiv",
    "version": 2
  }
}