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 image →
gpt-image-2. - You need multi-reference blending (10 sources) →
flux-2-pro. - You need vector / SVG output →
recraft-v4-vector.
Example — pure text-to-image
Example — edit-mode
GET /v1/jobs/{id} until succeeded.