Improving OpenAI Image Generation with AI: An Iterative Refinement Experiment

This article details an experiment using Large Language Models (LLMs) to iteratively improve the quality of images generated by the OpenAI API. Starting with a complex prompt, researchers found the resulting images suffered from blurry text and weak visual appeal. Two approaches were tested: First, using an LLM as a 'judge' to identify and iteratively fix image flaws, but this proved ineffective as the LLM struggled to handle creative and technical tasks simultaneously. Second, using the LLM to generate bounding boxes around blurry text for targeted editing, but the LLM struggled with accurate localization. Ultimately, separating text clarity improvement from overall image quality enhancement yielded better results.