Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction style for text-to-image AI that allows users to freely explore a vast collection of synthetic prompts through a map-like view with semantic zoom. PromptMap groups images visually by their semantic similarity, allowing users to discover relevant examples. We evaluated PromptMap in a between-subject online study ($n=60$) and a qualitative within-subject study ($n=12$). We found that PromptMap supported users in crafting prompts by providing them with examples. We also demonstrated the feasibility of using LLMs to create vast example collections. Our work contributes a new interaction style that supports users unfamiliar with prompting in achieving a satisfactory image output.

本研究针对新手用户在生成图像时撰写有效提示的困难，提出了PromptMap作为一种新的文本到图像AI交互风格。PromptMap通过语义缩放的地图式视图，让用户自由探索大量合成提示，从而帮助他们获取相关示例、提升提示创作的能力。研究发现，PromptMap有效支持用户创建满意的图像输出。

PromptMap：一种基于AI的图像生成的新交互风格