PromptMap: An Alternative Interaction Style for AI-Based Image Generation
By: Krzysztof Adamkiewicz , Paweł W. Woźniak , Julia Dominiak and more
Potential Business Impact:
Helps people create cool pictures with AI easily.
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.
Similar Papers
PromptMap: Supporting Exploratory Text-to-Image Generation
Human-Computer Interaction
Helps artists find good ideas faster.
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
Computation and Language
Finds best words to make AI smarter.
Exploring Multimodal Prompt for Visualization Authoring with Large Language Models
Human-Computer Interaction
Draw pictures to help computers make charts.