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Text-to-image generative models have recently exploded in popularity andaccessibility. Yet so far, use of these models in creative tasks that bridgethe 2D digital world and the creation of physical artefacts has beenunderstudied. We conduct a pilot study to investigate if and how text-to-imagemodels can be used to assist in upstream tasks within the creative process,such as ideation and visualization, prior to a sculpture-making activity.Thirty participants selected sculpture-making materials and generated threeimages using the Stable Diffusion text-to-image generator, each with textprompts of their choice, with the aim of informing and then creating a physicalsculpture. The majority of participants (23/30) reported that the generatedimages informed their sculptures, and 28/30 reported interest in usingtext-to-image models to help them in a creative task in the future. We identifyseveral prompt engineering strategies and find that a participant's promptingstrategy relates to their stage in the creative process. We discuss how ourfindings can inform support for users at different stages of the design processand for using text-to-image models for physical artefact design.

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts