No longer trending on Artstation: Prompt analysis of generative AI art

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Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper we collect and analyse over 3 million prompts and the images they generate. Using natural language processing, topic analysis and visualisation methods we aim to understand collectively how people are using text prompts, the impact of these systems on artists, and more broadly on the visual cultures they promote. Our study shows that prompting focuses largely on surface aesthetics, reinforcing cultural norms, popular conventional representations and imagery. We also find that many users focus on popular topics (such as making colouring books, fantasy art, or Christmas cards), suggesting that the dominant use for the systems analysed is recreational rather than artistic.

Original languageEnglish
Title of host publicationArtificial Intelligence in Music, Sound, Art and Design - 13th International Conference, EvoMUSART 2024 Held as Part of EvoStar 2024 Aberystwyth, UK, April 3–5, 2024 Proceedings
EditorsColin Johnson, Sérgio M. Rebelo, Iria Santos
Place of PublicationCham Switzerland
Number of pages17
ISBN (Electronic)9783031569920
ISBN (Print)9783031569913
Publication statusPublished - 2024
EventInternational Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2024 - Aberystwyth, United Kingdom
Duration: 3 Apr 20245 Apr 2024
Conference number: 13th (Proceedings)

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design 2024
Abbreviated titleEvoMUSART 2024
Country/TerritoryUnited Kingdom
Otherheld as part of EvoStar 2024
Internet address


  • Generative AI
  • Prompting
  • Visual Arts & Culture

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