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pith:2025:GEEMHY33UYXFKVM5POAYQWCH3I
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HunyuanVideo 1.5 Technical Report

Bing Wu, Bo Peng, Changlin Li, Chang Zou, Coopers Li, Duojun Huang, Fang Yang, Gu Gong, Guojian Xiao, Hao Tan, Jack Peng, Jiahe Tian, Jianbing Wu, Jiangfeng Xiong, Jiaxin Lin, Jie Jiang, Jie Liu, Jiesong Lian, Jihong Zhang, Kaihang Pan, Lei Wang, Lin Niu, Linus, Miles Yang, Mingtao Chen, Mingyang Chen, Mingzhe Zheng, Patrol, Peizhen Zhang, Peng Chen, Penghao Zhao, Qiangqiang Hu, Qi Tian, Qiuyong Xiao, Qi Yang, Rui Yuan, Runzhou Wu, Ryan Xu, Shanshan Sang, Shisheng Huang, Shuo Huang, Siruis Gong, Songtao Liu, Weijie Kong, Weiting Guo, Weiyan Wang, Wenzhi Sun, Xiang Yuan, Xianshun Ren, Xiao He, Xiaojia Chen, Xiaoyan Yuan, Xiaoyue Mi, Xiawei Hu, Xiele Wu, Xinchi Deng, Xin Li, Xuefei Zhe, Yang Li, Yanxin Long, Yepeng Zhang, Yifu Sun, Yiting Lu, Yitong Li, Yixuan Li, You Huang, Yuanbo Peng, Yuan Zhou, Yue Wu, Yuhang Deng, Yuhong Liu, Yu Tang, Zhao Zhong, Zhenyu Wang, Zhenzhi Lu, Zhichao Hu, Zhiguang Liu, Zhihe Yang, Zilin Yang, Zixiang Zhou, Zuozhuo Dai

An 8.3-billion-parameter model delivers state-of-the-art open-source video generation on consumer hardware.

arxiv:2511.18870 v2 · 2025-11-24 · cs.CV

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Claims

C1strongest claim

this compact and proficient model establishes a new state-of-the-art among open-source video generation models

C2weakest assumption

That the internal experiments provide fair, comprehensive comparisons to prior open-source models without undisclosed data selection or evaluation biases.

C3one line summary

HunyuanVideo 1.5 delivers state-of-the-art open-source text-to-video and image-to-video generation with an 8.3B parameter DiT model featuring SSTA attention, glyph-aware encoding, and progressive training.

References

22 extracted · 22 resolved · 6 Pith anchors

[1] Kling 2.5 turbo 2025
[2] Google DeepMind. Veo 3.1.https://deepmind.google/technologies/veo/, 2025 2025
[3] OpenAI. Sora 2.https://openai.com/sora, 2025 2025
[4] HunyuanVideo: A Systematic Framework For Large Video Generative Models 2025 · arXiv:2412.03603
[5] Step-video-t2v tech- nical report: The practice, challenges, and future of video foundation model 2025

Formal links

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Cited by

43 papers in Pith

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First computed 2026-05-17T23:38:53.818228Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3108c3e37ba62e55559d7b81885847da3e9ae82ec85eaeaa49e52e3b2602088b

Aliases

arxiv: 2511.18870 · arxiv_version: 2511.18870v2 · doi: 10.48550/arxiv.2511.18870 · pith_short_12: GEEMHY33UYXF · pith_short_16: GEEMHY33UYXFKVM5 · pith_short_8: GEEMHY33
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GEEMHY33UYXFKVM5POAYQWCH3I \
  | 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: 3108c3e37ba62e55559d7b81885847da3e9ae82ec85eaeaa49e52e3b2602088b
Canonical record JSON
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