Model + Tool

Nano Banana Text-to-Image Generator

What it is

A Nano Banana text-to-image generator uses Google's Gemini 2.5 Flash Image model (codename: Nano Banana) to create images from natural-language prompts, with industry-leading instruction-following on long, complex prompts and multi-image composition.

Try it now

Free daily credits · opens with model nano-banana-pro pre-selected

Output specs

Resolution
1K / 2K / 4K
Duration
Single image
Aspect ratios
1:1, 16:9, 9:16, 4:3, 3:4
Cost
From ~10 credits per image (Pro: ~18)

Features

  • Best-in-class instruction following

    Nano Banana handles long, multi-clause prompts ("a corgi wearing a chef hat, holding a baguette, in a Parisian cafe at sunset") better than any peer.

  • Nano Banana 2 + Pro variants

    Banana 2 for fast iteration, Pro for hero output with strongest prompt adherence.

  • Multi-image composition

    Upload reference images (person + outfit + setting); Nano Banana composes them into one coherent generation.

  • Conversational chain edits

    "Now add a hat", "now change the lighting" — Nano Banana keeps the conversation state.

Best for

  • Complex multi-element prompts that confuse other models
  • Brand campaigns where the prompt is essentially a creative brief
  • Conversational editing workflows (chain edits without re-prompting)
  • Multi-reference composition (person + outfit + setting)

Pro tips

1.Nano Banana rewards verbose, specific prompts — write 40+ words with explicit subject + setting + style + lighting + composition.
2.For multi-image composition, upload references first and reference them by role ("subject 1", "background"). Banana handles this natively.
3.Pro variant is worth the cost for client work; Banana 2 is the workhorse for iteration.
4.Nano Banana enforces Google content policies — keep prompts brand-safe.

FAQ

Why is Nano Banana called that?+

It was the internal codename Google used during testing before launch — it stuck.

How does it differ from Imagen?+

Nano Banana is specifically tuned for natural-language editing and multi-image composition. Imagen focuses on raw text-to-image quality.

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