Why "Asian" Is Too Broad for AI
A note before we begin: This guide explores physical characteristics that AI models may or may not capture accurately. These are generalizations—individuals within any nationality vary enormously. The goal isn't to stereotype but to understand AI's technical capabilities and limitations when generating specific ethnicities.
When you prompt an AI model with "Asian woman," you're asking it to represent over 4.7 billion people across 48 countries with vastly different physical characteristics. The result is typically a generic, averaged face that represents no one authentically—often defaulting to a narrow subset of East Asian features.
Professional use cases demand specificity: casting directors need distinct nationalities, stock photographers need authentic representation, character designers need visual accuracy. This guide demonstrates what's achievable with precise prompting—and where current models still fall short.
We're using Nano Banana Pro for this exploration. Judge the results yourself—where does the model succeed in capturing nationality-specific features, and where does it fall back on generic Asian defaults?