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Overview

nano-banana is Google’s Gemini-family image generator with one killer feature most others lack: native edit-mode. Pass a reference image alongside the prompt and the model edits it in context (inpainting, style transfer, object swap) rather than starting from scratch. The preview successor nano-banana-3-flash ships the newer Gemini 3.1 image stack on the same edit-mode pattern. See nano-banana-3-flash.

Specs

Pricing

Flat rate. The endpoint accepts an image-size field but ignores it today — every call returns ~1K output. Kyma will switch to per-quality tiering (low/medium/high) when size control is supported. Live source: GET https://kymaapi.com/v1/pricing.

Compared to other image models on Kyma

Use this when

  • You need to edit an existing image (inpaint a background, swap an object, change style).
  • You’re iterating on a reference image and want each variant to be cheap.
  • You’re prototyping conversational image workflows (the model accepts multi-turn editing).

Pick something else when

  • You need text-from-scratch without a reference image → any other image model is fine.
  • You need legible text in imagegpt-image-2.
  • You need multi-reference blending (10 sources) → flux-2-pro.
  • You need vector / SVG outputrecraft-v4-vector.

Example — pure text-to-image

Example — edit-mode

Async endpoint — poll GET /v1/jobs/{id} until succeeded.