Gemini 2.5 Image (Nano Banana) Beats All Image Editors!

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I haven’t been too lively in utilizing AI to generate photographs. Largely as a result of not one of the AI instruments to this point are in a position to ship the extent of high quality I search in my photographs. And so, the onus of producing photographs for my blogs largely falls on my teammate and an distinctive graphic designer Armaan. Although for this specific weblog, I gave Armaan a break. All due to Google’s new “Nano-Banana” aka Gemini 2.5 Flash Picture.

That’s what the newest picture technology mannequin from the home of Gemini is named. Greater than a picture technology, the Gemini 2.5 Flash Picture or nano-banana comes as a picture enhancing mannequin. Why? The replace now lets you mix a number of photographs right into a single picture. A minimum of that’s what it claims to do, as talked about in a Google weblog introducing the brand new Gemini image-gen mannequin.

If it does what it says and does it effectively, I personally know a dozen AI lovers who might be past excited to present it a strive. In case you might be one such aficionado of AI picture technology, right here is all it’s essential to know in regards to the new Gemini 2.5 Flash Picture, together with a hands-on experiment I attempted on it.

What’s Gemini 2.5 Flash Picture?

In a nutshell, Gemini 2.5 Flash Picture is a brand new picture technology and enhancing mannequin by Google. It comes as an replace to the a lot hailed Gemini 2.0 Flash Picture picture technology mannequin, making it sooner and higher, with added image-editing options.

For context, the brand new Gemini 2.5 Flash Picture can mix a number of photographs into one, preserve character consistency, and make focused transformations in a picture. As Google places it, the mannequin makes use of Gemini’s “world data to generate and edit photographs.”

Allow us to discover these options in a bit extra element.

Gemini 2.5 Flash Picture Options

Preserve character consistency

Nearly anybody who has used AI to generate photographs will relate to this. Particular person picture prompts often serve you effectively. However as quickly as you need a specific factor proven as it’s throughout a set of photographs, nearly all identified AI fashions falter.

Google claims to have labored on that, with the brand new Gemini 2.5 Flash Picture. Here’s what it says for the nano-banana’s functionality on this regard:

“Now you can place the identical character into completely different environments, showcase a single product from a number of angles in new settings, or generate constant model belongings, all whereas preserving the topic.”

Has it nailed it? Discover out shortly in my hands-on experiment with the mannequin.

Immediate based mostly picture enhancing

That is very similar to “photoshopping” a selected factor in/ out of a picture, however via easy prompts. Gemini 2.5 Flash Picture can “blur the background of a picture, take away a stain in a t-shirt, take away a complete particular person from a photograph,” and far more, as Google claims.

The exact native edits with pure language prompts make it a strong AI mannequin, supplied it does it effectively. Don’t you are worried. We will it strive it out in our hands-on quickly sufficient.

Multi-image fusion

This appears to be the brand new hot-new replace for the Gemini 2.5 Flash Picture. The nano-banana can “perceive and merge a number of enter photographs” as per Google, which principally means you’ll be able to fuse photographs with a single immediate now. Put an individual who missed the occasion in a bunch photograph, place an object right into a scene, or some other use you’ll be able to consider. All with a easy immediate.

Fingers-on loading. Keep tuned!

Native world data

As I identified in my article – Why AI Lacks Widespread Sense, AI fashions lack a deep, semantic understanding of the true world. Nearly all the aesthetic-images they produce are a results of their coaching knowledge. Google claims to have bypassed this, as the brand new nano-banana mannequin “advantages from Gemini’s world data.”

With out sharing any additional info on how this was made doable, Google says that this means unlocks new use-cases for the Gemini 2.5 Flash Picture mannequin. No worries, we are going to check it out for all its price quickly.

However earlier than that, right here is how one can entry the brand new Gemini Flash 2.5 Picture

Gemini Flash 2.5 Picture Accessibility

The brand new Google nano-banana or the Gemini Flash 2.5 Picture is on the market proper now by way of the Gemini app or web site for particular person customers.

For Particular person Customers

You possibly can merely obtain the app in your cellphone, or go to gemini.google.com and entry the mannequin by choosing 2.5 Flash on the prime and clicking on “Create Photos” below the Instruments part.

For Builders

Builders can entry the identical via Gemini API and Google AI Studio, whereas enterprise purchasers can entry the software via Vertex AI.

For entry via API, observe these steps:

1. Set up Required Libraries

Set up the newest model of the Google Generative AI SDK utilizing pip, and guarantee you’ve PIL (Pillow) put in for picture processing:

pip set up google-generativeai pillow

This command will import all required libraries at first of your script for easy execution.

2. Authenticate Your API Entry

Arrange authentication by exporting your API key (if required) as an setting variable or authenticating by way of cloud identification suppliers, so the genai SDK can entry Google’s Generative AI endpoints:

import os
os.environ["GOOGLE_API_KEY"] = ""

Ensure that your API account is lively and has ample quota for requests.

3. Configure and Name the Mannequin

Initialize the shopper, set the mannequin to “gemini-2.5-flash-image-preview”, and cross a related immediate utilizing the SDK’s content material technology methodology:

from google import genai
shopper = genai.Shopper()
immediate = "Create an image of a nano banana dish in a flowery restaurant with a Gemini theme"
response = shopper.fashions.generate_content(
mannequin="gemini-2.5-flash-image-preview",
contents=[prompt],
)

4. Parse and Save the Generated Picture

Iterate via the response to test for textual content and picture outputs, then save the generated picture utilizing PIL:

from PIL import Picture
from io import BytesIO
for half in response.candidates.content material.elements:
if half.textual content just isn't None:
print(half.textual content)
elif half.inline_data just isn't None:
picture = Picture.open(BytesIO(half.inline_data.knowledge))
picture.save("generated_image.png")

For entry via Google AI Studio, merely use the “construct mode” on Google AI Studio right here. As soon as on the platform, you’ll be able to merely enter a immediate to design the sort of picture technology/ enhancing app based mostly on Gemini 2.5 Flash Picture you need. Suppose face-swap or clothe-swap.

Gemini Flash 2.5 Picture Fingers-on

Since AI picture technology utilizing prompts is fairly easy, I made a decision to strive the brand new Gemini Flash 2.5 Picture throughout its USPs, apart from, after all, primary picture technology. Try the outcomes for your self:

1. Producing new photographs

Listed here are two photographs I generated utilizing Gemini 2.5 Professional Flash. One among a 25-year outdated boy from the hills of Himachal Pradesh, and one other of a Gaddi canine. Listed here are the prompts:

Immediate 1: give me a portrait picture of an indian boy, across the age of 25, hailing from Himachal Pradesh. The boy has dense, black hair and light-weight inexperienced eyes, and is sporting an excellent cool strong White shirt

Immediate 2: give me a portrait picture of a pahadi gaddi canine, black in color with a thick fur and an even bigger dimension as in comparison with an everyday road canine

Output:

Whereas the outcomes clearly appear AI-generated, I’d give 10/10 to nano-banana for the outcomes. That is merely due to the tremendous top quality of photographs, correct depictions of the immediate, and the truth that I by no means talked about within the immediate to make the pictures too reasonable.

2. Merging Photos

For consistency, I performed round with these two photographs for the remainder of exams. So I requested the mannequin to merge the 2 photographs of the boy and the canine in a scenic background. Right here is the immediate:

Immediate: present the boy and the canine taking part in in an enormous open discipline in opposition to the backdrop of a river flowing in a valley and snow-capped mountains on the opposite facet of the river

Output:

Gemini 2.5 Flash Image - image merge

It took a while for the AI mannequin to seek out its option to the correct output. With the preliminary outcomes having a bit off proportions, there was a backward and forward of prompts and outcomes earlier than I discovered what I used to be on the lookout for. However as soon as I did, boy was I impressed! Every part all the way down to the final element was as correct as I had talked about and as aesthetic as I might’ve requested for.

3. Picture Modifying

After picture technology and merger, comes the enhancing half. To check these out, I first requested Gemini Flash 2.5 Picture so as to add a small hut within the picturesque scene. Right here is the immediate:

Immediate: on this picture, present a small shed close to the river at a distance

Output:

Gemini 2.5 Flash Image image edit

Flawless execution within the first strive. It appears evident that Google has labored massively on the nano-banana, particularly within the areas the place it highlights it to excel.

4. Sustaining Character Consistency

Onto the hardest half for many AI fashions. Truthfully, I used to be fairly sceptical about this one USP. So naturally, I used to be additionally most excited to strive it out. I requested the mannequin to vary the complete setting within the image to that of a seaside. Right here is the immediate:

Immediate: present the boy and the canine working as they’re in a seaside as a substitute of the present setting. the boy is now sporting shorts and a vest, and has a tattoo throughout his left-arm

Output:

Gemini 2.5 Flash Image - image consistency

Nothing wanting spectacular, Gemini 2.5 Flash Picture managed to do a reasonably respectable job. Although it took repeated makes an attempt to reach at an aesthetic outcome, the brand new picture mannequin was in a position to replicate the main points of the boy and the canine with nearly full accuracy. For those who look intently, the slight distinction that you’ll discover might be that within the boy’s coiffure. Relaxation every little thing appears to be like nearly precisely much like me as within the earlier setting. I even tried the “tattoo on one-arm” thought to see how Gemini executes it. All I can say is Kudos to the mannequin for a job effectively achieved!

5. Constructing Gemini 2.5 Flash Picture Powered App

To check Gemini 2.5 Flash Picture on an app for repeated picture technology and enhancing, we used the next immediate on Google AI Studio’s “construct mode”

Immediate: Create a Attempt on App, the place customers can add their footage and take a look at varied garments to see how they appear in them.

Google Nano banana

Output: You possibly can try the try-on app we constructed right here.

Conclusion

With a single sequence of image-generation and enhancing on the brand new Gemini 2.5 Flash Picture, the updates and the improved capabilities are just about evident to me. What I’m particularly thrilled about is the brand new picture merging means of the mannequin. I can foresee n-number of eventualities the place that may be useful for me personally. As for many different content material creators on the market, picture enhancing and character consistency on the brand new Gemini 2.5 Flash Picture will show to be a game-changer.

We incessantly strive our fingers on such new AI fashions to check the bounds of their capabilities. So, make certain to remain tuned to this house to be up to date with the newest on the planet of AI.

Technical content material strategist and communicator with a decade of expertise in content material creation and distribution throughout nationwide media, Authorities of India, and personal platforms

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