Nano Banana | Text to Image Generator Online

About this model

Google Nano Banana is a fast model for text-to-image generation, prompt-based photo editing, multi-reference remixing, and natural visual changes without heavy technical setup.

When is this model useful?

Nano Banana works best when you want a fast and approachable workflow: describe the idea in plain language, optionally add reference images, and get a generated or edited result without managing a large stack of advanced settings.

Best fit tasks

Text-to-image generation for ad creatives, social visuals, illustrations, product scenes, cover art, and visual concepts.
Image-to-image edits when you want to change background, style, color palette, scene mood, or add and remove objects from an existing image.
Multi-reference compositions where you want to blend a product, background, character, or visual style from several inputs into one result.
Rapid iteration workflows where keeping a subject or style reasonably consistent across several versions matters more than rigid storyboard control.

Main advantages

It handles plain-language prompts well, so you can describe the result almost like you would brief a designer instead of writing highly technical prompt syntax.
It supports both text-to-image and image-to-image workflows in one model, which keeps the workflow simpler when you switch between creation and editing.
Fast response makes it practical for brainstorming, A/B creative options, and short feedback loops.
It supports multiple aspect ratios and JPG or PNG export, which makes it easy to adapt outputs for banners, posts, stories, or presentations.

Limitations to know

It generates still images, not video or animation.
There is no separate manual quality or resolution control such as 2K or 4K, so control is mainly handled through content, frame shape, and file format.
Small text, tiny faces, intricate details, and very dense scenes may still require extra prompt iterations.
Subject or style consistency is good, but not perfectly guaranteed when the scene changes heavily between prompts.

How to use this model

The easiest workflow is to describe what should appear or change first, then add only the reference images and settings that materially help the model understand the request.

Simple workflow

Write the prompt in plain language: what should be in the frame, where the scene happens, the style, lighting, mood, camera angle, and which details should stay or change.
For text-to-image, choose the aspect ratio that fits the channel. 1:1 is useful for square posts, 16:9 for banners and wide layouts, and 9:16 for stories, Reels, or TikTok creatives.
For image-to-image, upload one or more reference images and say directly in the prompt what should be preserved and what should be changed.
If you want to blend several sources, upload multiple images and explain the role of each one in simple terms, for example using the product from one image, lighting from another, and style from a third.
Choose JPG when smaller file size matters more, or PNG when you want a cleaner file with less visible compression loss.

Supported inputs

Required: a text prompt.
Optional: one or more reference images for editing, remixing, or combining multiple sources into one frame.
In the AISVIT upload flow, JPG, PNG, and WEBP are the safest image formats to use.
This integration does not expose a separate mask field or layered editing workflow, so precise changes should be described in the prompt itself.

What you get

One generated or edited image per model run.
JPG or PNG output.
Supported frame shapes: match input image, 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.
Final detail level is managed by the model provider, and in AISVIT this model does not expose a separate 2K or 4K selector.