To challenge the detection tools, we utilized the Google Gemini-based image generator “Nano Banana Pro.” The prompt chosen was deliberately simple yet slightly whimsical: “A woman striking a fighting pose holding a banana against the sky. Background typical cityscape with uninterested people.”
However, the first major hurdle for the automated detection software originates in the specific model used. Since Nano Banana Pro is relatively new to the market, it presents a blind spot for many detectors.
These services often rely on machine learning and are specifically trained to identify the unique signatures or “fingerprints” of established giants like Midjourney, DALL-E 3, Stable Diffusion, or Flux. Consequently, a fresh model like Nano Banana Pro holds a distinct advantage, as its specific generation patterns are not yet part of the detectors’ training data, allowing it to slip through the cracks more easily.