The recent discussions around 4o Image Generation highlight its significant advancements over previous models, particularly in reasoning within pixel space. Users can interact more dynamically with generated images by issuing sequential commands, leading to impressive alterations such as style changes and modifications of objects within the images. Despite the enhanced capabilities, the model currently suffers from slow generation speeds (up to 30 seconds per image) compared to competitors like Google's Gemini, raising concerns about its practical applications and cost-effectiveness. There are also calls for improved functionalities, such as iterative prompting for incremental adjustments in image generation, which would greatly enhance user experience. The community is eager for more rapid development cycles and robust solutions that break away from over-saturated styles seen in many existing tools.