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：本文研究了最新一代文生图模型的高频用户的艺术实践、艺术作品及其创作动机。通过访谈、观察和用户调查，我们呈现了艺术风格的样本，并描述了围绕生成式人工智能形成的实践社群。研究发现：1）文本提示词及生成的图像可共同被视为一件艺术品——提示词即艺术；2）提示词模板（即包含供他人填入自定义词汇的“插槽”的提示词）被用于创建生成式艺术风格。我们注意到，该社群对独特产出的追求促使艺术家寻求专业词汇以创作独特艺术作品（例如通过阅读建筑博客寻找描述图像的短语）。同时，部分艺术家利用模型中的“故障”将其转化为独特的艺术风格。基于这些发现，我们总结了未来提示词设计与图像编辑功能的具体设计启示。