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2026-10-25

Nano Banana Pro: all the new features of Google’s AI image creation tool!

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With the launch of Gemini 3, Google unveils the new generation of its image creation model: Gemini 3 Pro Image, better known by its fizzy nickname Nano Banana Pro. This update marks a major step forward in AI image generation, thanks to the “deep thinking” technology built into the model.

In this article, discover all the new features, the limits and the real stakes behind this tool that promises to transform image creation!

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🍌 Try Nano Banana Pro 🍌

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Images up to 4K, more legible text and 14 reference images

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Nano Banana Pro improves several key points that limited previous versions:

1. Resolution up to 4K

Generation can now reach 4,096 pixels, producing visuals suited to print, design or demanding professional projects.

2. Better text handling

One of the recurring flaws of AI models was their inability to produce clean, legible text.
With Nano Banana Pro, Google announces greater stability in typography generation, excellent news for creators of posters, mock-ups, thumbnails and more.

3. Up to 14 reference images

You can now upload up to 14 images to guide the creation.
This improves not only visual consistency, but also faithfulness to the characters, objects or style you want - a point much appreciated by fans of the first Nano Banana model.

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How to use Nano Banana Pro in Gemini?

The model is already available in the Gemini app, accessible worldwide.

To use it:

Open Gemini
Select the Create images 🍌 option
Choose the Thinking model (located to the right of the prompt window)

Simple and effective: you are ready to generate your first images.

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The watermark disappears… but not really

You may have noticed that images created with Nano Banana Pro no longer carry the diamond-shaped watermark showing that they come from AI. In fact, this removal is only available to subscribers of the Ultra plan, billed at $250 per month.

But even without a visible watermark, Google now embeds SynthID, an invisible watermark that can - in theory - signal whether the image was generated by AI.
You just send the image to Gemini to check its origin.

👉 It remains to be seen how reliable this system will be in the real world…

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Explore our AI training & book a call

Explore our different training modules and choose, with us, the one that best meets your AI needs.

📚 See our AI training 📞 Book a discovery call

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Free… but with limits

Good news: Nano Banana Pro can still be used for free.
Less good news: you will quickly reach the free generation limit, after which you will automatically be switched to a less advanced model.

For intensive use, Google AI subscriptions start at $20/month.

The tool is also available via:

the Gemini API
Google AI Studio
Flow

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Looking back at the success of the original Nano Banana

The first model, Gemini 2.5 Flash Image, caused a sensation when it was released.
Thanks to its impressive performance and Google’s fruity marketing campaigns, it quickly became hugely popular.

Users particularly appreciated:

its character consistency, even during complex edits
its ability to edit a photo without distorting people
its speed

Even so, AI errors remained. Nano Banana Pro aims precisely to correct them with the power of Gemini 3.

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Have you tested one of our use cases?
Send us your results or follow our latest AI news.

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A pivotal week for Google and Gemini

The release of Nano Banana Pro is part of a broader update: the roll-out of Gemini 3, which promises a smarter, more stable and less “sycophantic” experience for users.

Google seems determined to assert its position in the AI race, and Nano Banana Pro is a centrepiece of this strategy.

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Conclusion

Nano Banana Pro represents a significant evolution of Google’s AI image model. With 4K generation, better text control, the use of multiple references and the integration of SynthID, the tool is getting closer and closer to a professional standard.

However, some key features - such as watermark removal - remain locked behind premium subscriptions.
It remains to be seen whether Google will manage to uphold its promise of transparency with its invisible watermark.

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Explore our AI training & book a call

Explore our different training modules and choose, with us, the one that best meets your AI needs.

📚 See our AI training 📞 Book a discovery call

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FAQ

Answers to your questions about AI in business.
How to train your teams, identify the right use cases and roll out AI effectively.

Book a call

How can I train my teams in AI without it taking months?

It is the question we hear most often. The short answer: with the right method, a single day is enough for your teams to really start changing their habits. At AI Sisters, we have built a three-step approach, tested on more than 350 projects:

Step 1 - Understand, not just "discover"
We start with an AI Show: a live, immersive session with real-time demos on real cases. No generic slides. Your teams leave with a clear view of what AI can (and cannot) do for them.

Step 2 - Practise on real topics
Hands-on workshops are organised by role: HR, Finance, Marketing, Sales, Legal, Ops. We use your real documents, your real emails, your real tools. Prompts are tested live.

Step 3 - Embed new habits at D+30
One month later, we run an impact review: what has been adopted, what is still blocking, what needs adjusting. This follow-up is what makes the difference.

In short: training your teams in AI does not take months. With an approach built on immersion, role-based practice and impact follow-up,

Can AI training really be adapted to my sector (healthcare, finance, industry...)?

Yes, and that is exactly what separates useful training from training people forget.

Before each project, AI Sisters carries out a pre-audit: we analyse your typical documents (contracts, emails, reporting, product sheets), your tools (Office suite, Google, CRM, ERP) and your workflows.
We identify where AI can create value in your specific context. Then we choose, from our 40 business experts, the one who knows your sector best.
An HR team in an industrial group will not see the same examples as a B2C sales team. Prompts, exercises, use cases - everything is adapted.

‍In short: AI Sisters adapts each training programme to the reality of your sector, thanks to a pre-audit and 40 business experts. Healthcare, finance, industry, services: content is built on your real documents and your real constraints, not on generic examples.

Can AI training be funded by my OPCO?

Yes, in most cases.
AI Sisters training is Qualiopi-certified, which makes it eligible for OPCO funding (French training funds). The level of funding depends on your skills operator, the scheme used and your available budget, but in many cases a significant part of the cost can be covered.

In practice, we support you through the whole application: detailed quote, compliant programme, supporting documents, follow-up until reimbursement.

‍In short: thanks to Qualiopi certification, AI Sisters training is OPCO-fundable. The amount varies with your operator and your situation, but it can mean substantial savings.

Is AI training better on-site or remote?

Both work. What matters is the intention behind the format.
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On-site is ideal for a strong kick-off: a seminar day, a moment of collective co-creation, a team starting out together.

Remote is perfect for multi-site or international teams - our online sessions use training assistants via chat to keep things interactive (Q&A, co-writing prompts, live exercises).

Either way, the method stays the same: AI upskilling + practice + follow-up. And every session is led by a business expert, not a generalist trainer.

‍In short: on-site or remote, the format adapts to your organisation. AI Sisters keeps the same level of quality and interactivity in both cases, with business experts dedicated to each session.

Which tasks can I really hand over to AI in my team today?

The best way to answer is by role.

‍HR: screen CVs, generate job descriptions, write emails to candidates, prepare interviews.
‍Finance: explain an Excel table, write a commentary on results, prepare a forecast budget.
‍Marketing / Comms: create an editorial calendar, adapt a message into several formats, A/B test hooks.
‍Sales: write prospecting emails, personalise sequences, prepare responses to tenders.
‍Legal: analyse an NDA, flag risky clauses, generate a first draft to review.
‍Leadership: summarise committee meetings, prepare strategy notes, build impact scenarios.

In our AI workshops, we do not show fictional cases. We take your real documents and test AI on them, live.

Before AI: 2 hours to write meeting minutes.
With AI: 20 minutes.
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Before AI: 3 hours to analyse an Excel file.
With AI: 30 minutes.

‍In short: AI can speed up dozens of practical tasks in every department. AI Sisters helps you identify the ones with the most impact for your team, and test them straight away on your own documents.

My team is not technical. Can they still use AI?

Yes. In fact, that is the whole point.

Our approach is 100% role-based, with no technical jargon. We start from your teams' real problems (lost time, repetitive tasks, heavy reporting) and show how to turn them into simple prompts.

At the end of the workshop, each participant leaves with ready-to-use prompt templates adapted to their job.

The goal is not to train data scientists. It is for every employee to be able to say: "This is how AI helps me in a typical day."

‍In short: You do not need technical skills to use AI every day. AI Sisters turns the tools into accessible, role-based practices, and gives every participant prompts they can use the very next day.

How can I be sure AI does not make mistakes in a sensitive context (legal, medical, financial)?

It is a more than legitimate question, and we address it directly in our training.
We do not just show what AI can do. We also stress what should not be delegated to it, how to review and validate its answers, and how to combine a clear business brief with a well-built prompt to get the best quality.

Our experts know the constraints of your sector: compliance, deadlines, accuracy, GDPR, approved tools.
Nothing is left to improvisation.

‍In short: AI Sisters builds the limits and risks of AI into its training. Your teams learn to use AI reliably, knowing what they can hand over to it and how to check the results.