This article delves into the challenges faced by generative AI models in accurately depicting facial expressions. We analyze the results of a recent experiment, showcasing the model's strengths and weaknesses in understanding scene composition, camera positioning, and aesthetic style. The analysis reveals a significant gap in the model's ability to capture the subtle nuances of human emotion through facial expressions, highlighting the need for further research and development in this area.