What Nano Banana 2 is good at — and what it's not

Nano Banana 2 is the model to reach for when text and facts have to be right. Google's image lineage has the strongest in-image text rendering in the field, and Nano Banana 2 carries it forward: multi-line headlines, fine captions, and non-Latin scripts render as readable type instead of the garbled letterforms that still trip up diffusion models. For posters, packaging, signage, and UI mockups — anywhere the words on the image are part of the deliverable — this is the default.

The second strength is reference-driven consistency. Pass up to 10 reference images and Nano Banana 2 holds a character, product, or style across a run — the same face, the same wardrobe, the same lighting register. That makes it a fit for series work: storyboards, comic panels, brand mascots, and campaign variants that all have to stay on-model rather than drifting frame to frame.

Output scales from 1K up to native 4K across ten aspect ratios, from 21:9 cinematic down to 4:5 portrait social. Start at 1K to draft cheaply, then re-run the keeper at 4K for hero placement — billboards, OOH, packaging — without leaving the model. The ten-ratio span means one concept can ship as a banner, a feed post, and a story frame in matching sittings, no square-crop compromise.

Where it's weaker: photoreal portrait fidelity — skin sub-surface scatter, natural-light realism — still favors Flux 2 Pro, and exact hex-color reproduction is Flux's domain. Editing-heavy, batch-production workflows favor Seedream 4.5's six-image batches. Nano Banana 2's sweet spot is text-accurate, factually grounded, multilingual creative.

A reasonable mental model: default to Nano Banana 2 when the image carries text or has to be factually correct, and when you need a subject held consistent across many frames. For photoreal portraits and brand-color-critical work, switch to Flux 2 Pro. For edit-and-batch pipelines, Seedream 4.5.