Google image model on PixBulk

Nano Banana Image Generator

Create production-ready visuals with Nano Banana, a Google model built for balanced quality and speed. Choose a prompt, aspect ratio, output settings, and generate without leaving this page.

Nano Banana image generator overview
Official Nano Banana model showcase asset.

Create with Nano Banana

Nano Banana is selected by default. The complete PixBulk generator stays available, including Variations, CSV batch, and Products modes, so you can switch workflows or compare models at any time.

Loading the image generator…

Nano Banana quick facts

The settings below reflect the capabilities currently exposed in PixBulk, so the generator and this guide stay aligned.

Developer
Google DeepMind
Model ID
gemini-2.5-flash-image
Output resolution
1K
Reference images
Supported, up to 5
Credits per image
8
Aspect ratios
1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9

What is Nano Banana?

Nano Banana is an AI image model from Google. Nano Banana balances visual quality, iteration speed, and predictable controls for everyday creative production. PixBulk makes the model available inside a practical generation workspace where a single prompt can become one image, a group of variations, a CSV-driven campaign, or a set of product visuals.

On this page, Nano Banana can produce the output tiers shown in the generator, up to 1K, with pricing from 8 credits per image. The credit estimate updates before submission, and failed generation jobs follow PixBulk’s normal refund handling.

Choose from 1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9 to prepare square listings, portrait posts, landscape banners, and other delivery formats. Treat the ratio as part of the creative brief: composition, subject spacing, typography, and background detail all change when the canvas changes.

What can you create with Nano Banana?

Start with these common production jobs, then adapt the prompt and output ratio to your channel.

Product and commerce visuals

Use Nano Banana to develop clean product scenes, listing concepts, lifestyle compositions, and campaign variations. Keep the product description, material, camera angle, and intended marketplace explicit.

Posters and text-led layouts

Draft social graphics, covers, posters, menus, and announcement cards with Nano Banana. Put required wording in quotes and describe hierarchy, placement, type style, and contrast.

Campaign variations at scale

Turn one creative direction into multiple Nano Banana outputs for testing. Variations mode explores alternatives, while CSV mode maps prompts to a larger campaign without repetitive setup.

Concept art and storytelling

Explore characters, environments, editorial scenes, mood boards, and visual narratives with Nano Banana. Reuse stable descriptors across prompts when consistency is more important than surprise.

Nano Banana examples and prompt directions

Use these visuals or prompt frameworks as starting points. Results vary by prompt, ratio, references, and model updates.

Nano Banana image generation example 1
Nano Banana showcase example 1
Nano Banana image generation example 2
Nano Banana showcase example 2
Nano Banana image generation example 3
Nano Banana showcase example 3

How to use the Nano Banana image generator

The same three-step workflow works for one-off ideas and structured batch production.

1

Choose an input workflow

Open Variations for one prompt, CSV for a prompt sheet, or Products for product-led generation. Nano Banana is already selected when this page loads.

2

Write the brief and set output controls

Describe the subject, context, composition, style, and constraints. Then choose the supported ratio and resolution for Nano Banana, adding reference images only when the model allows them.

3

Generate, review, and refine

Submit the job, compare the Nano Banana results, and regenerate with targeted prompt changes. Completed work is available in history for later review and download.

Nano Banana capabilities in PixBulk

PixBulk exposes the controls needed for repeatable production while keeping model-specific limits visible.

Prompt-led generation

Nano Banana turns detailed natural-language briefs into new visuals. Specific prompts usually provide more controllable results than short keyword lists.

Reference-image workflow

Nano Banana accepts reference images in PixBulk, with up to 5 files available to guide subject, style, layout, or edit intent.

Resolution and ratio controls

Choose supported aspect ratios and output tiers up to 1K. PixBulk updates the available controls whenever Nano Banana or the workflow changes.

Single and batch production

Create a single Nano Banana image, several variations, a prompt-per-row CSV batch, or product-led outputs from the same workspace.

Saved results and history

Active and completed jobs are recorded in PixBulk history, where single generations and batches remain separated for easier review.

Model-aware configuration

PixBulk maps Nano Banana to gemini-2.5-flash-image and only sends settings supported by that integration, reducing avoidable provider errors.

How to write better Nano Banana prompts

A strong prompt reads like a compact creative brief: concrete enough to guide the model, but organized enough to edit.

Lead with the subject and goal

Name the primary subject first, then explain what the image must accomplish. Separate must-have details from optional atmosphere so priorities are unambiguous.

Describe composition and light

Specify framing, camera position, subject scale, negative space, focal depth, light direction, and time of day. These choices often matter more than adding extra style adjectives.

Treat text as designed content

Put exact copy in quotation marks and state where it belongs, how prominent it should be, and what typographic character it needs. Always review spelling in the output.

Change one variable per iteration

When refining Nano Banana results, adjust one major variable at a time—composition, palette, styling, or wording—so you can tell which instruction improved the image.

Nano Banana compared with related models

Use credits, output tiers, and creative strengths as practical selection signals. The best model depends on the job, not one universal ranking.

ModelBest-fit strengthOutput tiersCredits / image
Nano Bananabalanced quality and speed1K8
Nano Banana 2 Litefast creative iteration1K20
Imagen 4.0high-detail final output1K25

Nano Banana limits and review checklist

Generative results are probabilistic. Plan for review and use only the controls shown for the selected model.

Use supported controls

Nano Banana currently exposes 1K output and these ratios in PixBulk: 1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9. Unsupported combinations are removed or adjusted before submission; switching models can also change the available controls.

Review before publishing

Inspect every Nano Banana result for text accuracy, anatomy, logos, product details, cultural context, and brand compliance. AI output should be treated as a creative draft until a person approves it for release.

Nano Banana image generator FAQ

Practical answers about access, credits, inputs, output controls, batch workflows, and responsible review.

What is Nano Banana?

Nano Banana is an AI image generation model associated with Google. PixBulk provides a model-aware workspace around it, including prompt input, supported output controls, generation history, and batch-oriented workflows.

How many credits does Nano Banana use?

Nano Banana currently starts at 8 PixBulk credits per generated image. The generator shows the calculated total before submission, so image count and any resolution-dependent pricing are visible before credits are used.

What resolution can Nano Banana generate?

The PixBulk integration currently exposes these Nano Banana output tiers: 1K. The available selector is the source of truth because provider capabilities and integrations can change over time.

Can Nano Banana use reference images?

Yes. Nano Banana accepts reference images in PixBulk, with up to 5 uploads shown in the current interface. References can guide composition, subject, style, or edit intent, but the prompt should still explain how each image should be used.

Which aspect ratios does Nano Banana support?

Nano Banana currently supports these ratios in PixBulk: 1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9. Choose the destination format before generation because the ratio affects framing, spacing, background coverage, and room for text.

Can I generate several Nano Banana images at once?

Yes. Use Variations for multiple outputs from one prompt, CSV for prompt-per-row production, or Products for product-led batches when the selected model supports that input. Free-account batch limits and paid-plan entitlements still apply.

Is Nano Banana selected automatically on this page?

Yes. The embedded generator opens in Variations mode with Nano Banana selected. You can still switch to another available model or input mode without leaving the page.

Where are completed Nano Banana images saved?

Completed Nano Banana work appears in PixBulk history. Single generations and batch jobs have separate tabs, which makes it easier to reopen results, inspect details, regenerate, and use paid download actions.

Why can two Nano Banana runs look different?

Image generation is probabilistic, so the same Nano Banana prompt can produce different composition, detail, or styling. Preserve the instructions that matter, describe constraints explicitly, and iterate one variable at a time when consistency is important.

Should I review Nano Banana output before publishing?

Yes. Review every Nano Banana image for accuracy, unwanted artifacts, text, product fidelity, brand rules, rights, and policy requirements. Human approval is especially important for commercial, informational, or public-facing content.

Model information sources

Capabilities are based on official vendor material and the API documentation used by the PixBulk integration. App-facing controls may intentionally expose a smaller supported subset.

Start creating with Nano Banana

Open the generator above with Nano Banana already selected, write your brief, choose the delivery format, and move from one idea to a reviewable result in the same workspace.

Generate with this model