Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)

Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim

Abstract: Our work explores bridging the gap between large language models and text-to-image models to create a tool for quickly and easily generating high quality images from a given concept. In our experiments we successfully improved image quality with only a preliminary utilization of the available resources for finetuning.