Google does not make a Nano Banana app. Fello AI is a native Mac app that runs Nano Banana 2 alongside GPT Image 2, Seedream 5, and FLUX.2, so you can generate an image, then regenerate it with a different model without leaving the window.
Nano Banana is Google's image generation and editing model. The name started as a throwaway codename Google itself submitted for blind testing on LMArena, went viral there before anyone knew who had built the model, and ended up becoming the official brand, which is why a Google product sounds like a snack. The current version, Nano Banana 2, arrived in February 2026 and is officially called Gemini 3.1 Flash Image.
What made it go viral was editing rather than generation. You can hand it a photo and describe a change in plain language: swap the season, change the lighting, put the same person in a different room. It applies that change while leaving everything else alone. Most image models regenerate the whole picture and quietly alter faces and details you wanted kept. Nano Banana holds them steady, keeping up to five characters and fourteen objects consistent across generations.
It also handles two things image models have historically been bad at. It renders readable text inside an image, and it can translate that text into another language, usually holding the original layout as it does. Output runs from 512px up to 4K across a range of aspect ratios, and because it is built on Google's Flash line it returns results quickly rather than making you wait for a slow, high-fidelity render.
Nano Banana, Nano Banana 2, and Nano Banana Pro: Nano Banana is the brand. Nano Banana 2, officially Gemini 3.1 Flash Image, is the current default and the one Fello AI uses. Nano Banana Pro is the slower and pricier sibling that Google positions for the most complex visual work; both reach 4K, so the difference is handling rather than resolution. All three are Google models, reached through the cloud, so there is no version you install.
Generated from a promptRelit for evening, in one editMoved to a rainy sill, same objects
512px – 4K
Output resolution range
5 characters
Kept consistent across scenes
Readable text
Rendered and translated in-image
Google
Built by Google DeepMind
ON YOUR MAC
Is there a Nano Banana app for Mac?
No. Google does not ship a standalone Nano Banana app for any platform. Nano Banana 2 runs entirely in Google's cloud and is reached through other products: the Gemini app, Google Search, AI Studio, Vertex AI, and Flow. Nothing installs the model itself, so any download claiming to be "Nano Banana" is a third-party wrapper around Google's API. Here are the three routes that actually work on a Mac.
01
Fello AI Recommended
A native Mac app with Nano Banana 2 built in, plus GPT Image 2, Seedream 5, and FLUX.2, so you can run the same prompt through several image models and keep the one that worked. Runs on macOS 12 or later including Intel Macs, weighs around 30-50MB, and is on iPhone and iPad too. Also includes 30+ chat models, so writing the prompt and generating the image happen in one place.
02
Gemini in a browser
Open gemini.google.com, choose Create images, and you are using Nano Banana 2. It is the default image model on Google's free and paid plans. Nothing to install and it works on any Mac. The limits are that it is a browser tab competing with every other tab, and the free tier caps how many images you get per day. Google AI Studio is the other way in, but image generation there bills against a paid API key rather than a free quota.
03
Google's Gemini Mac app
Google released a native Gemini app for Mac in April 2026, with an Option+Space shortcut to summon it from anywhere. It is a genuinely good chat app and it can generate images. Two catches: it needs Apple silicon and macOS 15 Sequoia, so Intel Macs and older systems are excluded, and it is Google-only, with no way to compare a Nano Banana result against GPT Image 2 without leaving it.
A note on the app stores. Search "Nano Banana" in any app store and you will find photo editors using the name, plus APK mirrors on sites like Uptodown and Aptoide. None of them are made by Google. Google has never published a Nano Banana app, so treat any listing under that name as a third-party product and check who actually built it before signing in with a Google account.
What it can do
Nano Banana 2, actually tested
Every image in this section was generated with Nano Banana 2 inside Fello AI, and the prompt is printed underneath it. Nothing here is stock photography or a vendor render.
Generated firstThe reference portrait, made from a single prompt.Scene twoA rainy café. Same face, same glasses, same sweater.Scene threeA greenhouse in full sun, with the nose ring and necklace intact.Scene fourLit only by a monitor, the hardest of the four, and it still holds.
Headline and small printA date, a time, a venue, and a three-line credits block under the headline. The small stuff is where models usually fall apart.Fractions and listsSix ingredient lines, with the ½ and the ¼ rendered as real fractions, then four numbered steps.
RefractionEvery droplet refracts its own inverted copy of the treeline behind it.EngravingHardest thing in the frame is the lettering cut into the bridge, and it reads cleanly at full size.
Identity sheetMonogram, type specimen, icons, and a palette whose hex codes actually match the swatches beside them.PackagingThree labels sharing one layout, each with its own origin, altitude, process, and tasting notes. The roast meter fills to a different point on every bag.
Editing without wrecking the rest
Hand it a photo, describe one change, and it changes that one thing. This is the difference between an editing model and a generation model, and it is the reason Nano Banana spread the way it did. Three edits below, one instruction each, nothing else touched.
Change the season
"Make it late autumn."
The grass, light, and sky change. Her face, dress, and pose do not.
BeforeHigh summer, green grass, blue sky.AfterAmber grass, low golden light, mist along the treeline.
Remove an object
"Remove the red van. Keep everything else exactly the same."
The van was covering the shopfront, the cobbles, and part of the street. All three had to be invented back.
BeforeThe van sits across the café front and most of the near pavement.AfterIt rebuilt the cobbles and carried the row of flower pots on past where the van had been.
Extend the frame
"Extend this image to a 16:9 landscape and reveal what is around her."
Outpainting: the model keeps what exists and invents the space beyond the original edge. Note that the map still says Isle of Skye at a fraction of the size.
BeforeA square frame with nothing outside it but cliffs and weather.AfterA stone harbour wall, moored boats, and a sea that did not exist a moment ago. She is untouched.
Why Fello AI
Nano Banana without the browser tab
Nano Banana 2 is excellent at some things and beaten at others. GPT Image 2 is generally stronger on complex typography and spatial instructions; FLUX.2 holds a brand's colour and tone more tightly across a set; Seedream 5 is the cheap one for large batches. Working in the Gemini app means you only ever see one of those answers. Fello AI puts all four in the same window.
Four image models, one prompt
Generate with Nano Banana 2, then run the same prompt through GPT Image 2, Seedream 5, or FLUX.2 and keep whichever landed. No second subscription, no second app, no re-typing the prompt.
Works on older Macs too
Google's Gemini Mac app needs Apple silicon and macOS 15 Sequoia. Fello AI runs on macOS 12 and later, Intel included, so a 2019 MacBook Pro gets the same Nano Banana 2 as a new one.
Write the prompt where you generate it
30+ chat models sit beside the image models. Draft and sharpen a prompt with Claude or GPT-5.6, then generate from it in the same conversation instead of copying text between two apps.
Side by side
Fello AI vs the Gemini app
Feature
Fello AI
Gemini (browser / Mac app)
Price
Free tier + $9.99/mo or $79.99/yr
Free tier + $19.99/mo (Google AI Pro)
Nano Banana 2
✓ Yes
✓ Yes, default image model
Other image models
✓ GPT Image 2, Seedream 5, FLUX.2, Grok Imagine
✗ Google models only
Compare models on one prompt
✓ Yes, in the same conversation
✗ No
Native Mac app
✓ macOS 12+, Intel + Apple silicon
Apple silicon + macOS 15+ only
Chat models included
✓ GPT-5.6, Claude 5, Gemini 3.6, Grok 4.5 and more
✗ Gemini models only
iPhone and iPad
✓ Yes, same app
✓ Separate app
PDF and document work
✓ Up to 16 PDFs at once
Limited (Google AI Pro)
macOS requirement
✓ macOS 12 (Monterey)
macOS 15 (Sequoia) for the Mac app
One prompt, every model
The same prompt, four image models
Benchmarks for image models are close to useless, because the thing being measured is taste. The only honest test is to run one prompt through several models and look at what comes back. That is a two-minute job in Fello AI and impossible inside the Gemini app.
So we did exactly that: one identical prompt, four models, nothing changed between runs.
The prompt, in full. "A single ripe banana on a polished concrete plinth in a gallery, lit by one dramatic overhead spotlight, deep shadows falling away into a dark background. Hyper-detailed skin texture with realistic speckling. Cinematic, moody, museum-object photography."
Nano Banana 2Cool, neutral grade. Crops in close and lets the plinth run off the bottom edge.GPT Image 2Warmest of the four, and the only one that built a room. Note the framed canvas nobody asked for.Seedream 5The most literal reading: a visible cone of light and a clean, almost catalogue-like subject.FLUX.2Took "realistic speckling" furthest, returning fruit that is visibly overripe, and kept the room darkest.
Same words, four readings
Nano Banana 2 came back tight and cool-toned, cropping close and letting the plinth run off the frame. GPT Image 2 warmed everything and invented a gallery around the subject, hanging a framed canvas on the back wall that the prompt never mentioned. Seedream 5 read the brief most literally, drawing the spotlight as a visible cone. FLUX.2 took "realistic speckling" furthest and returned fruit that is frankly past eating.
None of them is wrong, and no benchmark would have told you which one you would pick. That is the entire argument for keeping several image models within reach. The model you would have chosen in advance is often not the one that produces the image you actually want.
The same brief, four posters
The plinth is a photographic test. Design work is the harder one, because the model has to build a layout and spell every letter correctly in the same pass. So we ran a second prompt the same way: four models, nothing changed between runs.
The prompt, in full. "A bold vertical poster. Giant condensed sans-serif type reading ONE PROMPT. across the top and EVERY MODEL. across the bottom, with a liquid chrome banana floating between them. Deep indigo to violet gradient background, glossy chromatic reflections, high-gloss 3D render."
Nano Banana 2The most restrained layout: type at the edges, fruit in the middle, nothing overlapping.GPT Image 2Filled the frame edge to edge and let the banana cross the type, and still spelled both lines correctly.Seedream 5Read "chrome" as glass and reflected a sunset city into it. Nobody asked for a city.FLUX.2Also went to glass, and put an actual sun inside the fruit. Lightest palette of the four.
Two readings of one word
Nano Banana 2 and GPT Image 2 both took "liquid chrome" as polished metal. Seedream 5 and FLUX.2 both took it as glass, and both, without being asked, put a sunset inside the fruit. That is the same prompt splitting cleanly down the middle on a single adjective, which no leaderboard position would have predicted.
The layouts split too. Nano Banana 2 kept the safest arrangement, with the type at the edges and nothing overlapping. GPT Image 2 pushed the letters out past the frame and ran the banana across them, which is the most designed of the four and also the riskiest, because that is exactly where a model usually drops a letter. It did not. All four spelled both lines correctly, periods included, which image models could not reliably do a year ago.
The same poster, in three languages
Nano Banana 2 can render text inside an image and then translate it while holding the layout still. We generated a poster in English, then asked for the same artwork in Czech and German. The composition, colour, and lettering style stayed put; only the words changed, diacritics included.
EnglishThe original, generated from scratch.CzechBoth diacritics survived: the caron on Ž and the acute on Ý, carved from banana peel like the rest.GermanA longer word in the same measure, respaced to fit without breaking the grid.
Model
Nano Banana 2
GPT Image 2
Seedream 5
FLUX.2
Built by
Google
OpenAI
ByteDance
Black Forest Labs
Best for
Recurring characters, fast edits
Complex typography, spatial instructions
Large batches at low cost
Brand consistency across a set
Speed
Very fast
Moderate
Fast
Moderate
Text in images
Strong, translates in place
Strongest overall
Good
Good
Max resolution
4K
High
High
High
In Fello AI
Yes
Yes
Yes
Yes
Where the comparisons come from. Speed and quality characterisations reflect published model documentation and independent testing rather than a single benchmark score. Image model leaderboards move constantly and rarely agree with each other, so treat the "best for" column as a starting point and run your own prompt through all four.
What Fello AI offers
What you can actually do in Fello AI
Use the right model for the task
Different models are better at different kinds of work, and that is even more true for images than for text. In Fello AI you switch between Nano Banana 2, GPT Image 2, Seedream 5, and FLUX.2 without leaving the app, and between ChatGPT, Claude, Gemini, and Grok for everything that is not an image.
Chat with PDFs, images, and Office files
Upload PDFs, images, Excel sheets, slide decks, and documents, then ask for summaries, explanations, rewrites, or extracted insights. Feed it a reference image and describe the edit you want, or hand it a brief and get the prompt written for you.
Create real documents you can download
Generate PowerPoint presentations, Excel spreadsheets with formulas, Word documents, and PDFs, then download and use them immediately. Drop a generated image straight into a deck without a round trip through another app.
One workflow across Mac, iPhone, and iPad
Fello AI is native on all Apple devices, so you keep the same app, the same models, and the same workflow whether you are at a desk or on your phone. Generate on the Mac, review on the iPad, no separate setup.
For designers and marketers
Explore a visual direction across four image models before committing to one, generate localized versions of the same asset, and keep a character or product consistent across a whole campaign. Then turn the result into a deck or a document without leaving the app.
For everyone else
Most people do not need four image models, until the first one gets the picture almost right and will not fix the last detail. Fello AI is a single native Mac app where the next model is one click away, alongside 30+ chat models for everything that is not an image.
No. Google does not make a standalone Nano Banana app for Mac, Windows, iPhone, or Android. Nano Banana 2, officially Gemini 3.1 Flash Image, runs entirely in Google's cloud and is reached through the Gemini app, Google Search, AI Studio, and Vertex AI. To use it in a native Mac app you need a third-party client such as Fello AI, which runs it alongside GPT Image 2, Seedream 5, and FLUX.2.
None of them are made by Google. Because the name went viral, a number of unrelated photo editors and API wrappers have adopted it across the Microsoft Store, Android APK mirrors, and various websites. Google has never shipped an app under the Nano Banana name, so check who actually publishes any listing before you sign in with a Google account or pay for anything.
Nano Banana 2, officially Gemini 3.1 Flash Image, launched in February 2026 and is Google's current default image model. It is built for speed, with quick generations and quick edits, while still producing images up to 4K. Nano Banana Pro is the slower and more expensive option, which Google positions for the most complex visual work. Both models reach 4K, and Nano Banana 2 replaced Pro as the default in the Gemini app, so Pro is a specialist choice rather than a straight upgrade. Fello AI uses Nano Banana 2. See our full write-up on Nano Banana 2 for the details.
There is a free tier, and it is the Gemini app. Free users get a daily allowance of Nano Banana 2 images, with a much smaller allowance for Nano Banana Pro. Going in through Google AI Studio or the Gemini API instead means paying per image, because Google lists no free tier for any of its image models there. The exact numbers change fairly often, and we track the current limits here. Fello AI also starts free, with a paid plan at $9.99 per month or $79.99 per year covering all four image models.
The model runs in the cloud, so your Mac's chip does not affect what it can produce, but the app you use it in does. Google's Gemini Mac app requires Apple silicon and macOS 15 Sequoia, which rules out every Intel Mac. Fello AI runs on macOS 12 and later on both Intel and Apple silicon, so an older Mac gets the same Nano Banana 2.
No. Nano Banana is a closed Google model with no downloadable weights, so there is nothing to install and no offline mode. Every generation goes to Google's servers and comes back. Any tool claiming to run Nano Banana locally is either calling Google's API over the internet or running a different model entirely.
From 512px up to 4K, across a range of aspect ratios. The 4K end is genuinely detailed rather than an upscale, so images hold up when cropped or used somewhere larger than a social post.
Yes, and this is what it is best at. Upload an image, describe the change in plain language, and it applies that change while leaving the rest alone, keeping faces, poses, and background details stable instead of regenerating the whole picture. It can hold up to five characters and fourteen objects consistent, which is why it works for series of related images rather than one-offs.
Yes. Nano Banana 2 renders legible type inside images and can translate that text into another language, holding the layout, colours, and lettering style steady in our own tests. Google does caution that it can still slip on grammar and idiom, so read the result before you ship it. That makes it practical for posters, mockups, and localized versions of the same asset. GPT Image 2 is generally the stronger model for very complex typography, and it is in Fello AI too, so you can try both.
Alongside Nano Banana 2, Fello AI includes GPT Image 2, Seedream 5, FLUX.2, and Grok Imagine, plus 30+ chat models including GPT-5.6, Claude 5, Gemini 3.6, and Grok 4.5. You can run the same prompt through several image models in one conversation and keep whichever result you prefer.
Yes, it is the same app across Mac, iPhone, and iPad, and one subscription covers all of them. Conversations sync, so you can generate an image on your Mac and pull it up on your phone without re-running anything.
All the AI you need. One beautiful app.
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