NanoBanana API

Nano Banana is the popular name for Google’s Gemini-based image generation and editing model, available through the Gemini API. Unlike a standalone diffusion endpoint, it generates and edits images natively inside a multimodal LLM: you send text, or text plus reference images, in an ordinary Gemini request, and image output comes back in the response. That conversational design is its signature — you can generate a picture, then say “same character, now in a rainy street” and iterate.

Its standout strength for developers is consistency and editing. Because the model actually understands the images you pass in, it excels at keeping a character, product, or style stable across many generations, blending multiple reference images, and making targeted edits — swap the background, change the outfit — without regenerating everything from scratch. That makes it the practical choice for product photography variants, brand-consistent assets, avatar systems, and any workflow where “the same subject, modified” matters more than one-off art.

In practice, you’ll call the Gemini API (directly or via the google-genai SDK) with a model that supports image output, mix text and inline image parts in the request, and read image bytes out of the response parts. You’ll build multi-turn editing loops that carry conversation history so refinements stay anchored to earlier results, and compare its outputs against the DALL·E API to develop judgment about which generator fits which job.