Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

April 18, 2023 ยท Declared Dead ยท ๐Ÿ› ACM Symposium on User Interface Software and Technology

๐Ÿ‘ป CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, Tovi Grossman arXiv ID 2304.09337 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.MM Citations 150 Venue ACM Symposium on User Interface Software and Technology Last Checked 2 months ago
Abstract
Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capture the user's creative intent remains challenging. It often involves laborious trial-and-error procedures to ensure that the model interprets the prompts in alignment with the user's intention. To address the challenges, we present Promptify, an interactive system that supports prompt exploration and refinement for text-to-image generative models. Promptify utilizes a suggestion engine powered by large language models to help users quickly explore and craft diverse prompts. Our interface allows users to organize the generated images flexibly, and based on their preferences, Promptify suggests potential changes to the original prompt. This feedback loop enables users to iteratively refine their prompts and enhance desired features while avoiding unwanted ones. Our user study shows that Promptify effectively facilitates the text-to-image workflow and outperforms an existing baseline tool widely used for text-to-image generation.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Human-Computer Interaction

Died the same way โ€” ๐Ÿ‘ป Ghosted