I built Nano Banana Images to solve a specific problem: generating consistent, commercial-grade assets (like product photos or branding visuals) is still too "random" with standard text-to-image tools.
Instead of fighting with long prompt strings, I built a library based on "structured prompts"—separating subject, lighting, and camera settings into reusable components.
The app wraps these presets into a simple UI where you can generate high-quality results without prompt engineering. It's built with Next.js and uses current SOTA models under the hood.
I'd love your feedback on the prompt curation and the quality of the outputs for professional use cases.