AI Quick Tips 371: Google’s new image model isn’t perfect

Here are 5 limitations of Google’s Nano Banana 2 Lite, directly from Google’s documentation -

Visual and text fidelity

Not every image Gemini generates will be perfect – it can still struggle with small faces, accurate spelling, and fine details in images.

Data and factual accuracy

The model's real-world knowledge is extensive but not infallible. When generating infographics, annotating diagrams, or representing complex data, it may misinterpret information or produce factually incorrect results. Always verify data-driven outputs.

Translation and localization

The model is capable of generating and translating text in many languages, but it may struggle with grammar, spelling, cultural nuances, or idiomatic phrases.

Complex edits and image blending

Advanced features like masked editing, major lighting changes (like day to night), or blending multiple images may sometimes produce unnatural results, visual artifacts, or disjointed scenes.

Character features

Advanced features like masked editing, major lighting changes (like day to night), or blending multiple images may sometimes produce unnatural results, visual artifacts, or disjointed scenes.