This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and describe the developed community of practice around generative AI. We find that: 1) the text prompt and the resulting image can be considered collectively as an art piece prompts as art and 2) prompt templates (prompts with ``slots'' for others to fill in with their own words) are developed to create generative art styles. We discover that the value placed by this community on unique outputs leads to artists seeking specialized vocabulary to produce distinctive art pieces (e.g., by reading architectural blogs to find phrases to describe images). We also find that some artists use "glitches" in the model that can be turned into artistic styles of their own right. From these findings, we outline specific implications for design regarding future prompting and image editing options.
翻译:本文研究最新一代文本转图像模型的高产用户的艺术实践、艺术作品和动机。通过访谈、观察和用户调查,我们呈现了艺术风格的样本,并描述了围绕生成AI的社区实践。我们发现:1)文本提示和产生的图像可以作为艺术品来共同考虑,提示本身就是艺术;2)提示模板(具有“卡槽”的提示,供其他人填写自己的单词)用于创建生成艺术风格。我们发现,这个社区对独特输出的价值导致艺术家寻求专业的词汇来产生独具特色的艺术品(例如,通过阅读建筑博客来寻找描述图像的短语)。我们还发现,一些艺术家利用模型中的“故障”可以转化为自己的艺术风格。从这些发现中,我们概述了未来提示和图像编辑选项的具体设计影响。