No Longer Trending on Artstation: Prompt Analysis of Generative AI Art
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910308053811200 |
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| author | McCormack, Jon Llano, Maria Teresa Krol, Stephen James Rajcic, Nina |
| author_facet | McCormack, Jon Llano, Maria Teresa Krol, Stephen James Rajcic, Nina |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_14425 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | No Longer Trending on Artstation: Prompt Analysis of Generative AI Art McCormack, Jon Llano, Maria Teresa Krol, Stephen James Rajcic, Nina Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Neural and Evolutionary Computing J.5; I.2 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. |
| title | No Longer Trending on Artstation: Prompt Analysis of Generative AI Art |
| topic | Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Neural and Evolutionary Computing J.5; I.2 |
| url | https://arxiv.org/abs/2401.14425 |