Use Nano Banana 2 for reference-led editing, text rendering, and tighter image control

Nano Banana 2 is built for faster editing loops, stronger subject consistency, and more explicit output control. It fits image tasks where reference assets matter, text must stay readable, and the visual result needs to stay disciplined across iterations.

Precision text rendering

Subject consistency

Up to 14 reference images

1K to 4K output

Best for

Reference-led editing

Best when prompts alone are not enough and source images need to guide the result.

Consistency

5 characters / 14 objects

Google highlights consistency for up to five characters and fourteen objects in one workflow.

Output control

1K / 2K / 4K

Control ratio, resolution, and PNG or JPG output format.

Why Nano Banana 2 fits more controlled image workflows

This page is better for users who already know the visual direction they want and need references, text, and parameters to keep results more stable.

Stronger reference-image editing

Start from an existing image for controlled revisions, or combine multiple references to guide composition, subject, and style more clearly.

Better fit for text-heavy visuals

Google emphasizes stronger text rendering and translation, which makes Nano Banana 2 more useful for posters, ad creatives, infographics, and marketing visuals with copy.

Output controls that fit production work

You can set aspect ratio, 1K to 4K resolution, and output format directly in the generator, which helps when handing images into design, ad, and delivery workflows.

How to use Nano Banana 2

Decide whether to generate or edit

Start with text to image for new concepts, then switch to image-to-image when you need to preserve structure, subjects, or style from an existing image.

Upload the key references

When the task depends on composition, pose, product consistency, or brand direction, add one or more guiding images. The current generator supports up to 14 reference images.

Set the output and keep iterating

Choose the aspect ratio, resolution, and output format, then refine the result by updating prompts or references until the image is ready.

Nano Banana 2 FAQ

When should I choose Nano Banana 2 over GPT Images 2.0?

Choose Nano Banana 2 when you need stronger reference-image workflows, tighter subject consistency, and more explicit output control. If you mainly want to start fast from prompts and iterate lightly, GPT Images 2.0 is usually the simpler entry point.

Does Nano Banana 2 support multiple input images?

Yes. In the current generator, Nano Banana 2 supports up to 14 reference images, which is useful for multi-image guidance, style blending, and more controlled editing tasks.

Is Nano Banana 2 good for posters, ads, and images with text?

Yes. Google specifically highlights precision text rendering and translation, which makes Nano Banana 2 a stronger fit for posters, ad creatives, infographics, and other text-heavy marketing images.

How much output control does Nano Banana 2 offer?

In your current generator, you can control aspect ratio, 1K, 2K, and 4K resolution, plus PNG and JPG output. Google also positions the model around production-ready specs and multiple output sizes.

Why does Nano Banana 2 emphasize subject consistency?

Many ad and brand workflows need more than one image. They need people, products, and key objects to stay stable across revisions. Google says Nano Banana 2 can maintain consistency for up to five characters and fourteen objects in one workflow.

Can Nano Banana 2 edit an existing image?

Yes. You can upload an existing image and use text instructions to add elements, change backgrounds, extend styles, or make controlled local edits, which is one of the main reasons to use Nano Banana 2.

Start with Nano Banana 2

Use stronger reference control, text rendering, and output settings for more directed image generation and editing.

Try Nano Banana 2 Compare models

14 images Reference support5 characters / 14 objects Subject consistency