In partnership with
What's the biggest pain point with AI image generators?
I was prototyping a fun idea over the weekend during which I spent 30 minutes regenerating mockups, tweaking prompts, trying different angles. The text kept coming out garbled or misaligned.
This is the thing with most AI image generators. Getting them to follow precise instructions was hard, until today.
Google's Nano Banana 2 launched last night, powered by Gemini 3 Pro, and it's built around a different approach: actually reading what you ask for.
I spent all night trying different things, stretching its limits hoping i catch it slacking, but it didn’t break! And the outputs are next level. Don’t take my word for it, see it for yourself.
It reads. then it executes.
You can drop text annotations on a photo and watch it add the bookshelf, the guitar, and the plant exactly where you indicated.
or you can give it a whiteboard with an unsolved calculus problem and ask it to solve it. It does the math, shows the work, writes it on the same board.
Feed it a photo of the Taj Mahal and ask for an infographic. You get labeled architecture, history timelines, and geographical context.
No prompt engineering gymnastics required anymore. it just does what you ask it to do.
A four-step loop
Nano Banana 2 runs a plan-verify-refine-generate cycle before outputting anything It reads your input, checks if it makes sense, fixes obvious problems, then renders.
Give it torn fragments of a note and it reconstructs the full sentence, maintaining handwriting style and paper texture.
Messy handwritten notes become a structured mind map with hierarchy, grouped concepts, and cleaned-up text.
Black and white manga panels get full color treatment while preserving the original art style and panel composition.
Design knowledge baked in
The Gemini 3 Pro foundation means it understands context beyond pixels.
Show it a movie scene and ask for a lighting breakdown. You get a technical diagram explaining every light source, color temperature, and why each choice matters for the mood.
It knows geolocation data. You can input coordinates and time of day to generate scenes with historically accurate lighting for that exact location and moment.
It understands physics. Weight, gravity, surface tension, light behavior.
It can also blend up to 6 images into coherent compositions that maintain visual consistency across faces and styling.
Built for real workflows
Product designers can go from rough sketches to photorealistic mockups that look client-ready.
The text rendering actually works. Hindi, English, whatever. No garbled characters or alphabet soup. You get native 2K output with 4K upscaling available. Character consistency across generations.
To get access
Nano Banana 2 is rolling out globally in the Gemini app when you select "Create images" with the "Thinking" model. Free tier users get limited quota before reverting to the original Nano Banana model. Plus, Pro, and Ultra subscribers get higher quotas.
It's also available through Google AI Studio and the Gemini API for developers, and in Google Slides and Vids for Workspace customers.
Special mention: watermark verification
Google's also launching SynthID verification in Gemini. Upload any image and instantly check if it was generated by Google AI.
In exchange, visible watermarks are being removed for Ultra tier users.
The difference
Most image models guess at what you meant.
This one reads what you wrote, verifies it understood correctly, and executes.
Try Nano Banana 2 in the Gemini app or Google AI Studio now.
Until next time,
Vaibhav 🤝🏻
If you read till here, you might find this interesting
#AD 1
74% of Companies Are Seeing ROI from AI.
Incomplete data wastes time and stalls ROI. Bright Data connects your AI to real-time public web data so you launch faster, make confident decisions, and achieve real business growth.
#AD 2
Missed OpenAI? The Clock Is Ticking on RAD Intel’s Round
Ground floor opportunity on predictive AI for ROI-based content.
RAD Intel is already trusted by a who’s-who of Fortune 1000 brands and leading global agencies with recurring seven-figure partnerships in place.
$50M+ raised. 10,000+ investors. Valuation up 4,900% in four years*.
Backed by Adobe and insiders from Google. Shares at $0.81 until Nov 20 — then the price moves. Invest now.
This is a paid advertisement for RAD Intel made pursuant to Regulation A+ offering and involves risk, including the possible loss of principal. The valuation is set by the Company and there is currently no public market for the Company's Common Stock. Nasdaq ticker “RADI” has been reserved by RAD Intel and any potential listing is subject to future regulatory approval and market conditions. Investor references reflect factual individual or institutional participation and do not imply endorsement or sponsorship by the referenced companies. Please read the offering circular and related risks at invest.radintel.ai.
