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Nano Banana

Generate or edit images from plain instructions in the browser, with up to eight reference images, two model tiers reaching 4K, and credits metered at two per image.

Image EditingImage GenerationAI Photo Editing & Design#Ai Art#Virtual Try On#Image
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Published
Sep 8, 2026
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banana-nano.org
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Nano Banana Product Information

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Published
Sep 8, 2026
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banana-nano.org
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What is Nano Banana?

Nano Banana at banana-nano.org is a browser workspace for generating and editing images, operated by SupaFusion. It is a front end onto Google's Gemini image models rather than the maker of those models: the site states that its standard tier runs on Gemini 2.5 Flash Image and its Pro tier on Gemini 3 Pro Image.

That distinction determines what the site actually controls. Image quality, subject handling and watermarking come from the underlying model; what this operator sets is the interface, the credit system, the plan structure, the upload handling and the terms — and those are what differ between one such site and another.

The workspace itself is deliberately narrow. Two modes, a prompt box, a model selector, an aspect-ratio control and an input area that takes up to eight images. There is no canvas, no layer stack and no selection tool; every change is expressed as an instruction in words. That constraint is the product's actual proposition: it trades the precision of a conventional editor for the ability to describe a change and have the model work out where it applies.

Core features

  • Two generation modes: image-to-image and text-to-image, selected as tabs in the same workspace rather than as separate products.
  • Up to eight input images: the input area accepts PNG, JPG, JPEG, WebP, HEIC and AVIF, with eight slots per request.
  • Multi-image fusion: the feature copy describes combining images into one natural composition — though it states up to three images, fewer than the eight slots the interface exposes.
  • Instruction-based editing: edits are issued as plain commands such as removing wrinkles or changing one colour to another, without selection tools or technical controls.
  • Multi-turn refinement: the site describes editing as a continuing conversation, with successive adjustments rather than a single one-shot render.
  • Subject consistency: facial features, hairstyles and clothing are described as maintained across multiple edits so a subject stays recognisable when the scene or pose changes.
  • SynthID watermarking: invisible digital signatures are embedded in all outputs to mark them as AI-generated.
  • Two model tiers: a standard tier and a Pro tier with different resolution ceilings, text rendering quality and control sets.
  • Aspect-ratio selection: framing is chosen before generation rather than by cropping the result afterwards.

How the two tiers differ

CapabilityStandardPro
ResolutionUp to 1KUp to 4K
Text renderingBasicAdvanced and accurate
Studio controlsNot availableAvailable
LocalizationNot availableAvailable
Subject consistencyStandardUp to 5 people
Real-world knowledgeGoodAdvanced with grounding

The gap is widest where it usually matters most in commercial work: legible text in the image and output resolution. If a design needs readable words rendered inside the picture, or an asset destined for print rather than screen, the comparison puts that squarely on the Pro side. The subject-consistency line points the same way — a single figure is within the standard tier's stated scope, while a group scene with several recognisable people is described only for Pro.

One inconsistency is worth flagging. The tier table names the Pro engine Gemini 3 Pro Image, while a banner higher on the same page calls it Gemini Image 3. The two labels are not written identically, so anyone matching this against a model's official documentation should verify which is meant rather than assume they are interchangeable.

Guide

  1. Choose the mode before anything else. Text-to-image starts from a description alone; image-to-image starts from uploads and treats your prompt as an instruction about them.
  2. Add your references, up to eight. Supported formats cover the common web and mobile types, including HEIC and AVIF, so phone photos generally need no conversion first.
  3. Write the prompt as an instruction, not a description of the desired file. The published examples are single sentences that name the change directly.
  4. Pick the tier that matches the output. Standard for drafts and screen-sized work; Pro where text must be legible inside the image or where 4K is needed.
  5. Set the aspect ratio before generating rather than cropping afterwards, since composition is decided at generation time.
  6. Refine in turns. Rather than rewriting a long prompt, issue the next change as a follow-up instruction and let subject consistency carry the identity forward.
  7. Download what you want to keep. The published retention wording gives no defined period for how long submitted content persists, so treat the result as something to save rather than to come back to.

Use cases and examples

The site publishes four worked examples with their prompts, and they map to distinct jobs. Garment transfer puts clothing from a reference onto a model to show the fit — the e-commerce case, where the product exists as a flat photograph and the requirement is to see it worn. Multi-image composition replaces an object in one picture with an object from another: the advertising case, a held item swapped for the product being sold.

Background replacement changes the setting behind a subject while keeping the subject intact, useful for product shots taken against whatever was available. Style conversion turns a photograph into a named illustration style with a one-line prompt — the cheapest of the four to attempt and the one most exposed to questions about the referenced style's provenance.

What connects them is that all four are single-instruction edits on existing images rather than generation from nothing. That is where an instruction-driven interface with strong subject consistency earns its place over a general image generator: the value is in changing one thing about a picture that already exists while everything else survives the edit intact, which is precisely the operation a text-to-image generator handles worst.

Who is it for

  • Small e-commerce and marketing teams are the clearest fit, since the published examples are product and campaign tasks and the plan sizes are individual to small-team scale.
  • Content creators working in volume get a predictable meter: every tier pairs credits with a monthly image ceiling in a fixed ratio, so cost per image is the same across tiers.
  • People who want editing without an editor benefit from the instruction-only model, which needs no familiarity with selections, masks or layers.
  • Buyers who prefer one bill to several may find a single subscription simpler than assembling access to the underlying model themselves.
  • Occasional users who can commit annually should note that every published price is an annual-billing equivalent, so the monthly figure shown is not what a month-to-month buyer would pay.

It is a poor fit for anyone needing a free evaluation, since the pricing page lists four paid tiers and no free tier. It is also unsuited to automated use: the terms prohibit robots, spiders, scraping and equivalent access, and grant only a personal-use licence that bars service bureau use. Teams with strict data-handling requirements should read the privacy section below before uploading client material.

Platforms

The service runs in the browser. Uploading, prompting, tier selection and refinement all happen on the site, and no desktop application or documented public API is presented.

The privacy policy names Google Play Services and App Store Services among the third parties that may collect identifying information, alongside Google Analytics and Google Ads. No application for this product is presented on the site itself, so the browser is the actual surface.

Purchasing happens off-platform. Orders are processed by external resellers acting as merchant of record depending on the buyer's location, and those resellers — not the site operator — handle customer service enquiries and returns. That is a meaningful platform fact rather than a billing detail: it determines who answers when something goes wrong with a payment, and it means the entity on your card statement is not the entity running the site.

Pricing

Four paid tiers are published, all priced as annual-billing equivalents against a higher reference price, and all marked as billed annually with cancellation available at any time.

PlanMonthly equivalentAnnual totalCredits per yearCredits per monthImages per month
Starter4.90 USD58.80 USD1200100Up to 50
Pro9.90 USD118.80 USD3600300Up to 150
Ultra19.90 USD238.80 USD9600800Up to 400
Max59.90 USD718.80 USD336002800Up to 1400

The credit-to-image ratio is fixed at two to one on every tier, so an image is metered the same way whichever plan you buy. Moving up buys volume, not a better rate — which makes the choice a straightforward capacity question rather than a value calculation.

The feature lists reinforce that: premium quality, priority processing, ad-free use, watermark-free output and email support appear identically on all four. Only support level varies, with Ultra adding priority support and Max adding dedicated support.

Three commercial terms sit behind the table, all from the document that names another product, so treat them as published rather than settled. Refunds are written as discretionary — fees may be fully or partially refundable in specific scenarios and the operator decides who qualifies. Prices may change without notice for new customers, while existing subscribers keep the fee agreed at signup. Listed prices exclude VAT.

Alternatives

Because this is an interface onto a model rather than a model, the real comparison is between access routes rather than between image models. The operator named in these terms is not the maker of the underlying engine, so what this route actually decides is the credit metering, the upload ceiling, the payment channel and the support boundary — the model behaviour itself is the model owner's.

An analysis published by a company that sells API relay access itself, frames it similarly: the best alternative is usually a different access route rather than a different image model, and first-party routes retain capabilities a relay may not reproduce. The question is not whether this site produces different pictures than another route to the same model family — it is whether its credit meter, terms and support suit you better than going direct, weighed against the inconsistencies documented below.

Limitations

  • The governing terms name a different product in their operative text. They open by naming this site and its operator, then state that they govern use of the magictryon website and refer to a magictryon account throughout. Because the document both names and misnames the service, it is unclear whether the clauses below were written for this product.
  • The privacy policy describes the wrong kind of processing. It states that submitted text content is collected for the purpose of processing and generating audio — a purpose that does not match an image generation and editing product.
  • Retention is stated without a period. Submitted content is described as stored temporarily during processing and possibly retained for a limited time to improve the service, with no defined window. There is no way to determine from the policy how long an uploaded image persists.
  • No free tier is published. All four listed plans are paid, so there is no documented no-cost way to evaluate output quality before committing to an annual-billed subscription.
  • Refunds are published as discretionary. As written, eligibility is the operator's decision rather than conditions a customer can rely on.
  • Automated access is prohibited as written. Robots, spiders, scraping, deep links and equivalent methods are barred, and the licence is stated as personal use with service bureau use excluded, putting anything built on top outside the terms.
  • The multi-image figures do not agree. The interface offers eight input slots while the fusion feature description states up to three images, leaving the actual supported count for a composition unclear.
  • The two names for the Pro engine differ. One part of the page says Gemini 3 Pro Image and another says Gemini Image 3, so the exact model behind the Pro tier cannot be pinned down from the site alone.
  • Features can be withdrawn without notice. The operator reserves the right to change, suspend or discontinue any feature, database or content, and to impose limits or restrict access, without notice or liability.
  • No availability warranty. The service is provided as is, with no warranty that it will be error-free or that access will be continuous or uninterrupted.
  • Every output is watermarked at the model level. Invisible SynthID signatures are embedded in all outputs. That is a traceability feature rather than a defect, but outputs stay identifiable as AI-generated regardless of the watermark-free wording in the plan lists, which refers to visible branding.
  • An age floor of 13 is published. Both the terms and the privacy policy set 13 as the minimum, with under-13 data deleted if discovered.

FAQ

Q1. Is this Google's Nano Banana or someone else's site?

It is a third-party interface. The site is operated by SupaFusion and states that it runs on Google's Gemini image models — Gemini 2.5 Flash Image on the standard tier and Gemini 3 Pro Image on Pro. The models are Google's; the interface, credits, plans and terms are the operator's.

Q2. Is there a free tier?

No. The pricing page lists four paid plans and no free option, so there is no documented way to test output quality at no cost before subscribing.

Q3. How many images can I upload at once?

The input area provides eight slots and accepts PNG, JPG, JPEG, WebP, HEIC and AVIF. Note that the multi-image fusion description mentions up to three images, so the count that actually composes may be lower than the number of slots.

Q4. What is the difference between the standard and Pro tiers?

Resolution up to 1K versus up to 4K, basic versus advanced text rendering, studio controls and localization available only on Pro, subject consistency described as standard versus up to five people, and good versus advanced grounded real-world knowledge.

Q5. How do credits map to images?

At two credits per image on every tier. Starter gives 100 credits and up to 50 images a month, Pro 300 and 150, Ultra 800 and 400, Max 2800 and 1400 — the same ratio throughout.

Q6. Can I get a refund?

Possibly, but not by right as written. They state fees may be fully or partially refundable in specific scenarios and that the operator determines eligibility — in a document that names another product. Payments run through external resellers acting as merchant of record, who also handle returns.

Q7. Are my uploaded images kept?

The privacy policy says submitted content is stored temporarily during processing and may be retained for a limited time to improve the service. No retention period is given, so the duration cannot be determined from the published policy.

Q8. Can I use it through a script or automate it?

Not as the terms are written. They prohibit robots, spiders, page scraping, deep links and equivalent automated or manual processes for accessing or copying any part of the service, and state the licence covers personal use only — in that misnamed document.

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