Nano Banana 2 – Sub-second AI image gen via Gemini 3.1 Flash
Gemini 3.1 Flash wrapper with nice UX, but dozens of AI image frontends exist.

Google's model, not the builder — wrapper UI without differentiated value or moat.
Content creators, marketers, designers
Midjourney · DALL-E 3 · Adobe Firefly
I built Nano Banana 2, an AI image generation platform powered by Google's Gemini 3.1 Flash Image model. The main problems I wanted to solve: - Text rendering in AI images has always been broken. This model gets it right ~90% of the time. - Most generators cap at 1-2K. This does true 4K output. - No character consistency across images. This tracks up to 5 characters + 14 objects. Tech stack: Next.js 16, React 19, TypeScript, Drizzle ORM, PostgreSQL, Cloudflare R2. 4 models available depending on your needs — from $0.039/image (budget) to $0.134/image (pro). Credits never expire. Free credits on signup. Live at https://ainanobanana2.pro Happy to answer any questions about the tech, the Gemini API integration, or the business model
Gemini 3.1 Flash wrapper with nice UX, but dozens of AI image frontends exist.
Yet another wrapper for Google's video model with no unique differentiator.
Nano banana 2: vaporous 'gempix2' claims, no technical substance or verifiable benchmarks.
No clear differentiation from Midjourney, DALL-E 3, or Stable Diffusion XL.
Just a UI wrapper for Google's existing API with no novel features.
AI-powered selectors sound good, but Firecrawl, JinaAI, and Bright Data already do this—for less friction.