After the viral success of Nano Banana in summer 2025, followed by the move upmarket with Nano Banana Pro in November, Google is taking a new step. By introducing Nano Banana 2 (Gemini 3.1 Flash Image), Google aims to combine the quality of Nano Banana Pro with the speed of the Gemini Flash range. This new image generation model powered by AI marks a turning point: features that were reserved for paid subscribers are now available free of charge in the Gemini app.

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In this article, we walk you through everything new in Nano Banana 2, the practical use cases and what it really changes for image generation with AI in 2026.

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4K images, legible text and unprecedented visual consistency

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Nano Banana 2

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Nano Banana 2 substantially improves what held back previous versions of the image generation model from Google.
Here is what this new model of AI delivers in practice.

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1. Resolution up to 4K and new formats

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Nano Banana 2

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With Nano Banana 2, you can generate visuals from 512 px up to 4K.
But the real novelty of this image model is the ultra-wide formats: 4:1 and 8:1 make their debut.

Ideal for web banners, site headers or panoramic advertising visuals.

Google also announces brighter lighting, richer textures and better adherence to complex instructions in every prompt.

The level of detail in 4K is particularly impressive on skin textures, reflections and backgrounds.

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2. Legible, translatable text directly in the generated image

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Nano Banana 2

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It was one of the biggest flaws of image generation tools powered by AI: illegible text in visuals. Nano Banana 2 solves the problem.

The model from Gemini can now embed precise, legible text in visuals, and even translate it into several languages directly within the generated image. Google highlights a practical use case: localising adverts for different international markets. You write a prompt in French, and Nano Banana 2 can generate an image with the text translated into English, Spanish or Japanese, with no manual work.

For marketing teams that need to roll out a campaign across several markets, this saves a considerable amount of time across all the AI images produced.

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3. Consistency across multiple characters and objects

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Google Nano Banana 2

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This is one of the most eagerly awaited advances in image generation with AI. Nano Banana 2 can maintain the appearance of:

  • Up to 5 characters identical from one image to the next
  • Up to 14 objects preserved between each generation

No more characters changing faces with every prompt. You can finally build a storyboard, a series of visuals for a campaign or a complete narrative sequence with genuine visual continuity.

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This consistency transforms the creative workflow. Instead of having to generate each image independently, you can now build a true end-to-end visual workflow, keeping your characters and objects consistent from one generation to the next.

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4. Real-time world knowledge

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Nano Banana 2 draws on the knowledge base of Gemini and on web image search to produce visuals grounded in reality.

In practice, there is no need to describe everything in your prompt.
The model knows what a place, a product or a context looks like.
‍Nano Banana 2 can generate infographics, diagrams or contextualised data visualisations, without you needing to provide a source image.

According to Naina Raisinghani, product manager at Google DeepMind, this connection to web data lets the model depict specific subjects more accurately!

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5. Configurable thinking levels

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Developers can now adjust the reasoning depth of Nano Banana 2 across three levels:

  • Minimal (default): fast generation, for simple visuals
  • High: more thinking, better quality on the most elaborate prompts
  • Dynamic: the AI model chooses the appropriate level itself

The more complex the prompt, the more worthwhile it is to switch to High mode to generate an image that matches your intent.

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How to use Nano Banana 2 in Gemini

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Nano Banana 2 has already been rolled out and replaces Nano Banana Pro as the default model in the Gemini app, in Fast, Thinking and Pro modes.

To use it:

  1. Open the Gemini app
  2. Simply ask it to create an image
  3. Nano Banana 2 is used automatically, with no manual selection needed

It is as simple as that.
No hidden menu, no technical fiddling.
‍Gemini uses Nano Banana 2 directly as its default image generation engine!

Google AI Pro and Ultra subscribers keep access to Nano Banana Pro for specialised tasks, via the context menu in Gemini!

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Where is Nano Banana 2 available?

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Gemini Nano Banana 2

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The roll-out is massive. Nano Banana 2 is available via:

  • The Gemini app: free for all users, it is the default model
  • AI Mode in Google Search: still unavailable in France for now
  • Google Lens: for image recognition and generation
  • The Flow video tool: without using credits
  • The Gemini API: in preview for developers
  • Google AI Studio: for testing and prototyping
  • Vertex AI: for production deployments
  • Google Antigravity and Firebase: for advanced integrations

This is one of the widest roll-outs we have seen for an image generation model from Google.

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Free… but what about the limits?

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Good news: the features that were reserved for paid subscribers with Nano Banana Pro become available free of charge with Nano Banana 2 in Gemini.

However, as with the previous model, heavy use may hit the free generation limits.
For sustained professional use, Google AI Pro and Ultra subscriptions offer higher quotas and access to additional features.

The AI from Google nevertheless remains one of the most accessible on the market for free image generation.

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Nano Banana Pro vs Nano Banana 2 comparison

🍌 Nano Banana Pro vs Nano Banana 2

Full comparison of Google's two AI image generation models

Feature Nano Banana Pro Nano Banana 2
Technical base Gemini 3 Pro Gemini 3.1 Flash
Generation speed Standard ⚡ Fast (Flash range)
Free access Subscribers only ✓ Free for everyone
Maximum resolution 4K 4K
Ultra-wide formats (4:1, 8:1) ✗ No ✓ New
Legible text in the image ✓ Yes ✓ Yes
Translatable text (multilingual) Limited ✓ Natively multilingual
Character consistency ✓ Yes ✓ Up to 5 characters
Object consistency Limited ✓ Up to 14 objects
Real-world knowledge Limited ✓ Web + Gemini
Thinking levels ✗ No ✓ Minimal / High / Dynamic
Reference images Up to 14 images Up to 14 images
SynthID (invisible watermark) ✓ Yes ✓ Yes
C2PA Content Credentials ✗ No ✓ New
Available in the Gemini app Pro / Ultra subscribers ✓ Default model
API / AI Studio / Vertex AI ✓ Yes ✓ Yes (preview)
Verdict Specialised model
for subscribers
🏆 Best balance of
quality / price / access

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SynthID and C2PA: traceability for AI images

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All images generated by Nano Banana 2 are automatically marked with SynthID, the invisible watermark from Google.

This SynthID marking makes it possible to check whether an image was created by AI, even after editing.

In addition to SynthID, Nano Banana 2 is compatible with the C2PA Content Credentials standard.

‍Google plans to extend this C2PA compatibility soon to the Gemini app itself, further strengthening the traceability of all AI images generated by the platform.

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What it really changes for teams at work

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Nano Banana 2 is not just a technical update.
It is a real productivity lever for teams that use AI every day!

- For a marketing team: create a visual campaign adapted for several markets, with the text translated and embedded directly in each visual thanks to Nano Banana 2. No designer, no back-and-forth. A single well-written prompt in Gemini is enough to generate visuals tailored to each audience.

- For a communications team: produce a complete storyboard with consistent characters from one scene to the next, for a LinkedIn post, a video or a client presentation. The creative workflow goes from several hours to a few minutes.

- For a product team: generate visual mock-ups, data infographics or explanatory diagrams in seconds, directly from Gemini. No more calling on the design team for every exploratory visual.

- For a sales team: tailor a visual proposal to each prospect with personalised high-resolution visuals in 4K, without tying up design resources. Nano Banana 2 in Gemini becomes a real sales productivity tool.

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Conclusion

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Nano Banana 2 marks a real turning point in the strategy of Google. By making available free of charge in Gemini an image generation model as powerful as Nano Banana Pro, while making it faster thanks to Gemini 3.1 Flash technology, Google is democratising professional visual creation with AI.

With multi-character consistency, translatable text, ultra-wide formats and real-time world knowledge, Nano Banana 2 is getting ever closer to a genuine built-in creative studio.

For corporate teams, it is a concrete opportunity to save time across the entire visual production chain, starting today.

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FAQ

Nano Banana 2 is Google's new AI image generation model, based on Gemini 3.1 Flash Image. It replaces Nano Banana Pro as the default model in the Gemini app and makes free the features that were reserved for paid subscribers.

Yes. Nano Banana 2 is available free of charge to all Gemini users. It is automatically used as the default model. Google AI Pro and Ultra subscribers keep access to Nano Banana Pro for specialised uses.

Nano Banana 2 combines the quality of Nano Banana Pro with the speed of Gemini Flash. It adds features such as ultra-wide formats (4:1, 8:1), multilingual text embedded in images, real-time world knowledge and configurable thinking levels, all available free of charge.

Yes. The model is available in preview via the Gemini API, Google AI Studio, Vertex AI, Google Antigravity and Firebase.

Yes, via the Gemini app. However, the AI Mode feature in Google Search is not yet available in France.

All images generated by Nano Banana 2 are marked with SynthID (invisible watermark) and compatible with the C2PA Content Credentials standard, making it possible to verify that an image originates from AI.

Nano Banana 2 can preserve the appearance of up to 5 characters and 14 objects between each generation, making it possible to create consistent visual sequences such as storyboards or multi-visual campaigns.

Three levels: Minimal (default, fast), High (better quality on complex prompts) and Dynamic (the model chooses automatically). The more elaborate the prompt, the more High mode improves the quality of the generated image.

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