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Text-to-image AI are capable of generating novel images for inspiration, buttheir applications for 3D design workflows and how designers can build 3Dmodels using AI-provided inspiration have not yet been explored. To investigatethis, we integrated DALL-E, GPT-3, and CLIP within a CAD software in 3DALL-E, aplugin that generates 2D image inspiration for 3D design. 3DALL-E allows usersto construct text and image prompts based on what they are modeling. In a studywith 13 designers, we found that designers saw great potential in 3DALL-Ewithin their workflows and could use text-to-image AI to produce referenceimages, prevent design fixation, and inspire design considerations. Weelaborate on prompting patterns observed across 3D modeling tasks and providemeasures of prompt complexity observed across participants. From our findings,we discuss how 3DALL-E can merge with existing generative design workflows andpropose prompt bibliographies as a form of human-AI design history.

3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows