In this video, I test the brand-new Nano Banana Pro release on Higgsfield AI and share my first impressions with a live demo. Nano Banana Pro is positioned as an intelligent image generation model with built-in world knowledge—so it should handle celebrities, landmarks, real streets, and especially text rendering without the usual “broken text / weird faces” problems. Higgsfield is calling it a pro‑grade image engine powered by Google’s Gemini 3 Pro image model, with native 4K fidelity and a big focus on control, clarity, and structure. For the demo, I use a real reference photo from my London trip and try to generate the photo I missed: me inside a classic phone booth, actually making a call, on the streets of London. I’m judging it on realism, whether my face stays intact, and whether it places me inside the booth (not outside posing). The output genuinely impressed me—my facial features stayed consistent, the scene looked realistic, and it nailed the intent with minimal iteration. I also call out who this is a game-changer for: designers, performance marketers, thumbnail/poster artists, educators, and product/UX teams who need readable typography, stable characters, and predictable results with fewer wasted generations.