title: Imagen 3
summary: We introduce Imagen 3, a latent diffusion model that generates high quality
  images from text prompts. We describe our quality and responsibility
  evaluations. Imagen 3 is preferred over other state-of-the-art (SOTA) models at
  the time of evaluation. In addition, we discuss issues around safety and
  representation, as well as methods we used to minimize the potential harm of
  our models.
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paper_authors._id: 66bc0e81facf447e2ca91c34
paper_authors.name: Sahil Singla
paper_authors._id: 66bc0e81facf447e2ca91c35
paper_authors.name: Florian Schroff
paper_authors._id: 66bc0e81facf447e2ca91c36
paper_authors.name: Candice Schumann
paper_authors._id: 66bc0e81facf447e2ca91c37
paper_authors.name: Tanmay Shah
paper_authors._id: 66bc0e81facf447e2ca91c38
paper_authors.name: Brendan Shillingford
paper_authors._id: 66bc0e81facf447e2ca91c39
paper_authors.name: Kaushik Shivakumar
paper_authors._id: 66bc0e81facf447e2ca91c3a
paper_authors.name: Dennis Shtatnov
paper_authors._id: 66bc0e81facf447e2ca91c3b
paper_authors.name: Zach Singer
paper_authors._id: 66bc0e81facf447e2ca91c3c
paper_authors.name: Evgeny Sluzhaev
paper_authors._id: 66bc0e81facf447e2ca91c3d
paper_authors.name: Valerii Sokolov
paper_authors._id: 66bc0e81facf447e2ca91c3e
paper_authors.name: Thibault Sottiaux
paper_authors._id: 66bc0e81facf447e2ca91c3f
paper_authors.name: Florian Stimberg
paper_authors._id: 66bc0e81facf447e2ca91c40
paper_authors.name: Brad Stone
paper_authors._id: 66bc0e81facf447e2ca91c41
paper_authors.name: David Stutz
paper_authors._id: 66bc0e81facf447e2ca91c42
paper_authors.name: Yu-Chuan Su
paper_authors._id: 66bc0e81facf447e2ca91c43
paper_authors.name: Eric Tabellion
paper_authors._id: 66bc0e81facf447e2ca91c44
paper_authors.name: Shuai Tang
paper_authors._id: 66bc0e81facf447e2ca91c45
paper_authors.name: David Tao
paper_authors._id: 66bc0e81facf447e2ca91c46
paper_authors.name: Kurt Thomas
paper_authors._id: 66bc0e81facf447e2ca91c47
paper_authors.name: Gregory Thornton
paper_authors._id: 66bc0e81facf447e2ca91c48
paper_authors.name: Andeep Toor
paper_authors._id: 66bc0e81facf447e2ca91c49
paper_authors.name: Cristian Udrescu
paper_authors._id: 66bc0e81facf447e2ca91c4a
paper_authors.name: Aayush Upadhyay
paper_authors._id: 66bc0e81facf447e2ca91c4b
paper_authors.name: Cristina Vasconcelos
paper_authors._id: 66bc0e81facf447e2ca91c4c
paper_authors.name: Alex Vasiloff
paper_authors._id: 66bc0e81facf447e2ca91c4d
paper_authors.name: Andrey Voynov
paper_authors._id: 66bc0e81facf447e2ca91c4e
paper_authors.name: Amanda Walker
paper_authors._id: 66bc0e81facf447e2ca91c4f
paper_authors.name: Luyu Wang
paper_authors._id: 66bc0e81facf447e2ca91c50
paper_authors.name: Miaosen Wang
paper_authors._id: 66bc0e81facf447e2ca91c51
paper_authors.name: Simon Wang
paper_authors._id: 66bc0e81facf447e2ca91c52
paper_authors.name: Stanley Wang
paper_authors._id: 66bc0e81facf447e2ca91c53
paper_authors.name: Qifei Wang
paper_authors._id: 66bc0e81facf447e2ca91c54
paper_authors.name: Yuxiao Wang
paper_authors._id: 66bc0e81facf447e2ca91c55
paper_authors.name: Ágoston Weisz
paper_authors._id: 66bc0e81facf447e2ca91c56
paper_authors.name: Olivia Wiles
paper_authors._id: 66bc0e81facf447e2ca91c57
paper_authors.name: Chenxia Wu
paper_authors._id: 66bc0e81facf447e2ca91c58
paper_authors.name: Xingyu Federico Xu
paper_authors._id: 66bc0e81facf447e2ca91c59
paper_authors.name: Andrew Xue
paper_authors._id: 66bc0e81facf447e2ca91c5a
paper_authors.name: Jianbo Yang
paper_authors._id: 66bc0e81facf447e2ca91c5b
paper_authors.name: Luo Yu
paper_authors._id: 66bc0e81facf447e2ca91c5c
paper_authors.name: Mete Yurtoglu
paper_authors._id: 66bc0e81facf447e2ca91c5d
paper_authors.name: Ali Zand
paper_authors._id: 66bc0e81facf447e2ca91c5e
paper_authors.name: Han Zhang
paper_authors._id: 66bc0e81facf447e2ca91c5f
paper_authors.name: Jiageng Zhang
paper_authors._id: 66bc0e81facf447e2ca91c60
paper_authors.name: Catherine Zhao
paper_authors._id: 66bc0e81facf447e2ca91c61
paper_authors.name: Adilet Zhaxybay
paper_authors._id: 66bc0e81facf447e2ca91c62
paper_authors.name: Miao Zhou
paper_authors._id: 66bc0e81facf447e2ca91c63
paper_authors.name: Shengqi Zhu
paper_authors._id: 66bc0e81facf447e2ca91c64
paper_authors.name: Zhenkai Zhu
paper_authors._id: 66bc0e81facf447e2ca91c65
paper_authors.name: Dawn Bloxwich
paper_authors._id: 66bc0e81facf447e2ca91c66
paper_authors.name: Mahyar Bordbar
paper_authors._id: 66bc0e81facf447e2ca91c67
paper_authors.name: Luis C. Cobo
paper_authors._id: 66bc0e81facf447e2ca91c68
paper_authors.name: Eli Collins
paper_authors._id: 66bc0e81facf447e2ca91c69
paper_authors.name: Shengyang Dai
paper_authors._id: 66bc0e81facf447e2ca91c6a
paper_authors.name: Tulsee Doshi
paper_authors._id: 66bc0e81facf447e2ca91c6b
paper_authors.name: Anca Dragan
paper_authors._id: 66bc0e81facf447e2ca91c6c
paper_authors.name: Douglas Eck
paper_authors._id: 66bc0e81facf447e2ca91c6d
paper_authors.name: Demis Hassabis
paper_authors._id: 66bc0e81facf447e2ca91c6e
paper_authors.name: Sissie Hsiao
paper_authors._id: 66bc0e81facf447e2ca91c6f
paper_authors.name: Tom Hume
paper_authors._id: 66bc0e81facf447e2ca91c70
paper_authors.name: Koray Kavukcuoglu
paper_authors._id: 66bc0e81facf447e2ca91c71
paper_authors.name: Helen King
paper_authors._id: 66bc0e81facf447e2ca91c72
paper_authors.name: Jack Krawczyk
paper_authors._id: 66bc0e81facf447e2ca91c73
paper_authors.name: Yeqing Li
paper_authors._id: 66bc0e81facf447e2ca91c74
paper_authors.name: Kathy Meier-Hellstern
paper_authors._id: 66bc0e81facf447e2ca91c75
paper_authors.name: Andras Orban
paper_authors._id: 66bc0e81facf447e2ca91c76
paper_authors.name: Yury Pinsky
paper_authors._id: 66bc0e81facf447e2ca91c77
paper_authors.name: Amar Subramanya
paper_authors._id: 66bc0e81facf447e2ca91c78
paper_authors.name: Oriol Vinyals
paper_authors._id: 66bc0e81facf447e2ca91c79
paper_authors.name: Ting Yu
paper_authors._id: 66bc0e81facf447e2ca91c7a
paper_authors.name: Yori Zwols
paper_title: Imagen 3
paper_summary: We introduce Imagen 3, a latent diffusion model that generates high quality
  images from text prompts. We describe our quality and responsibility
  evaluations. Imagen 3 is preferred over other state-of-the-art (SOTA) models at
  the time of evaluation. In addition, we discuss issues around safety and
  representation, as well as methods we used to minimize the potential harm of
  our models.
paper_ai_summary: Imagen 3, a latent diffusion model, generates high-quality images from text prompts and outperforms state-of-the-art models while addressing safety and representation issues.
paper_ai_keywords: latent diffusion model