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AI image generators have made impressive strides, yet they still struggle with key challenges such as rendering accurate human facial expressions, handling complex scenes, and reproducing logos due to legal and data limitations. These errors can result in quirky or exaggerated features, overlapping elements, or nonsensical ‘hallucinations’ in images. Understanding these pitfalls is essential for anyone leveraging AI-generated images, from digital artists to marketers. This article offers practical tips on simplifying prompts and using post-generation tools to correct these mistakes, helping you create more accurate, usable visuals. As AI image technology evolves, mastering these fixes could reshape how we produce and trust AI-generated content.