  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.
