title: Open-Sora 2.0: Training a Commercial-Level Video Generation Model in
    $200k
summary: Video generation models have achieved remarkable progress in the past year.
  The quality of AI video continues to improve, but at the cost of larger model
  size, increased data quantity, and greater demand for training compute. In this
  report, we present Open-Sora 2.0, a commercial-level video generation model
  trained for only $200k. With this model, we demonstrate that the cost of
  training a top-performing video generation model is highly controllable. We
  detail all techniques that contribute to this efficiency breakthrough,
  including data curation, model architecture, training strategy, and system
  optimization. According to human evaluation results and VBench scores,
  Open-Sora 2.0 is comparable to global leading video generation models including
  the open-source HunyuanVideo and the closed-source Runway Gen-3 Alpha. By
  making Open-Sora 2.0 fully open-source, we aim to democratize access to
  advanced video generation technology, fostering broader innovation and
  creativity in content creation. All resources are publicly available at:
  https://github.com/hpcaitech/Open-Sora.
paper_authors._id: 67d3ab8d032b54ab876cb7ec
paper_authors.name: Xiangyu Peng
paper_authors._id: 67d3ab8d032b54ab876cb7ed
paper_authors.name: Zangwei Zheng
paper_authors._id: 67d3ab8d032b54ab876cb7ee
paper_authors.name: Chenhui Shen
paper_authors._id: 67d3ab8d032b54ab876cb7ef
paper_authors.name: Tom Young
paper_authors._id: 67d3ab8d032b54ab876cb7f0
paper_authors.name: Xinying Guo
paper_authors._id: 67d3ab8d032b54ab876cb7f1
paper_authors.name: Binluo Wang
paper_authors._id: 67d3ab8d032b54ab876cb7f2
paper_authors.name: Hang Xu
paper_authors._id: 67d3ab8d032b54ab876cb7f3
paper_authors.name: Hongxin Liu
paper_authors._id: 67d3ab8d032b54ab876cb7f4
paper_authors.name: Mingyan Jiang
paper_authors._id: 67d3ab8d032b54ab876cb7f5
paper_authors.name: Wenjun Li
paper_authors._id: 67d3ab8d032b54ab876cb7f6
paper_authors.name: Yuhui Wang
paper_authors._id: 67d3ab8d032b54ab876cb7f7
paper_authors.name: Anbang Ye
paper_authors._id: 67d3ab8d032b54ab876cb7f8
paper_authors.name: Gang Ren
paper_authors._id: 67d3ab8d032b54ab876cb7f9
paper_authors.name: Qianran Ma
paper_authors._id: 67d3ab8d032b54ab876cb7fa
paper_authors.name: Wanying Liang
paper_authors._id: 67d3ab8d032b54ab876cb7fb
paper_authors.name: Xiang Lian
paper_authors._id: 67d3ab8d032b54ab876cb7fc
paper_authors.name: Xiwen Wu
paper_authors._id: 67d3ab8d032b54ab876cb7fd
paper_authors.name: Yuting Zhong
paper_authors._id: 67d3ab8d032b54ab876cb7fe
paper_authors.name: Zhuangyan Li
paper_authors._id: 67d3ab8d032b54ab876cb7ff
paper_authors.name: Chaoyu Gong
paper_authors._id: 67d3ab8d032b54ab876cb800
paper_authors.name: Guojun Lei
paper_authors._id: 67d3ab8d032b54ab876cb801
paper_authors.name: Leijun Cheng
paper_authors._id: 67d3ab8d032b54ab876cb802
paper_authors.name: Limin Zhang
paper_authors._id: 67d3ab8d032b54ab876cb803
paper_authors.name: Minghao Li
paper_authors._id: 67d3ab8d032b54ab876cb804
paper_authors.name: Ruijie Zhang
paper_authors._id: 67d3ab8d032b54ab876cb805
paper_authors.name: Silan Hu
paper_authors._id: 67d3ab8d032b54ab876cb806
paper_authors.name: Shijie Huang
paper_authors._id: 67d3ab8d032b54ab876cb807
paper_authors.name: Xiaokang Wang
paper_authors._id: 67d3ab8d032b54ab876cb808
paper_authors.name: Yuanheng Zhao
paper_authors._id: 67d3ab8d032b54ab876cb809
paper_authors.name: Yuqi Wang
paper_authors._id: 67d3ab8d032b54ab876cb80a
paper_authors.name: Ziang Wei
paper_authors._id: 67d3ab8d032b54ab876cb80b
paper_authors.name: Yang You
paper_title: Open-Sora 2.0: Training a Commercial-Level Video Generation Model in
    $200k
paper_summary: Video generation models have achieved remarkable progress in the past year.
  The quality of AI video continues to improve, but at the cost of larger model
  size, increased data quantity, and greater demand for training compute. In this
  report, we present Open-Sora 2.0, a commercial-level video generation model
  trained for only $200k. With this model, we demonstrate that the cost of
  training a top-performing video generation model is highly controllable. We
  detail all techniques that contribute to this efficiency breakthrough,
  including data curation, model architecture, training strategy, and system
  optimization. According to human evaluation results and VBench scores,
  Open-Sora 2.0 is comparable to global leading video generation models including
  the open-source HunyuanVideo and the closed-source Runway Gen-3 Alpha. By
  making Open-Sora 2.0 fully open-source, we aim to democratize access to
  advanced video generation technology, fostering broader innovation and
  creativity in content creation. All resources are publicly available at:
  https://github.com/hpcaitech/Open-Sora.
paper_ai_keywords: video generation models data curation model architecture training strategy system optimization human evaluation VBench scores HunyuanVideo Runway Gen-3 Alpha open-source