How to prompt Nano Banana Pro
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How to prompt Nano Banana Pro
Posted November 20, 2025 by shridharathi andreasjannson lucataco johnsillings
Try Nano Banana Pro on Replicate Run Nano Banana Pro
…so Nano Banana Pro was released yesterday, as we’re sure you are aware.
The AI community has already created an insane amount of generations with this model. Yes, it can handle the basics of any image model: style transfer, object removal, text rendering, realistic images. But these are the least shocking of its capabilities.
In this post, we really wanted to highlight some of the crazy images the AI community has been able to extract from Nano Banana Pro. Strap in.
Logic
One of the most impressive facets of Nano Banana Pro is its baked-in logic. Typically, image models are good at constructing new photos from the spatial information found in the input image. However, no image model has been able to deduce, interpret, and answer textual information found in a prior image. The closest might have been GPT-image-1 which came out earlier this year, due to its autoregressive architecture. With Nano Banana Pro, we can clearly note there are intermediary prompting layers that help the model make logical conclusions. These layers seem to act as a reasoning bridge between the input image and the final output, allowing the model to not just see text in an image, but actually understand and respond to it contextually.
(Side note: someone might have discovered how to uncover said system prompt.)
Very clever trick by @minimaxir to get Nano Banana to reveal its system prompt by drawing it as refrigerator magnets. pic.twitter.com/dRIVqfkUXh — Gene Kogan (@genekogan) November 20, 2025
For instance, you can feed Nano Banana your homework and get correct answers with work shown.
write the answers to the questions in pencil. show your work
We loved seeing creators take long pieces of information, like papers or websites, and creating summary images from them.
Nano Banana Pro is wild.
Here’s my favorite use case so far: take papers or really long articles and turn them into a detailed whiteboard photo.
It’s basically the greatest compression algorithm in human history. pic.twitter.com/9TEa5xnZzW — Pietro Schirano (@skirano) November 20, 2025
Nano Banana Pro just took in the entire Nvidia Q3 earnings PDF and generated this beautiful infographic.
This is the world's best compression engine. pic.twitter.com/2OTf0bitKD — Deedy (@deedydas) November 20, 2025
A picture is worth a thousand words. We could definitely see this model being a powerful tool for educators to create visuals. Check out these infographics:
This also means Nano Banana Pro is really good at rendering code. Other image models seemed to hallucinate with this task, but given how this model is entangled in the larger Gemini 3 Pro language model, code interpretability is much better than other SOTA models.
Check out how the model was able to render this ship written in React and WebGL shader code (click on the image to see the entire code snippet):
render this: /** * @license * SPDX-License-Identifier: Apache-2.0 */ import React, useRef, useEffect from ‘react’; import useAppContext from ’../context/AppContext’; // A simple full-screen quad vertex shader const VERTEX_SHADER = #version 300 es in vec2 a_position; out vec2 v_uv; void main() v_uv = a_position; gl_Position = vec4(a_position, 0.0, 1.0); const FRAGMENT_SHADER = version 300 es precision highp float; in vec2 v_uv; out vec4 outColor…
Text and Design
This model arguably has some of the best text adherence — you should be able to input any piece of text and Nano Banana Pro will get it word for word. Look at what fofr has to say:
To say Nano Banana Pro is good at text is an understatement. Here's the Gemini 3 blog post, as a glossy magazine article.
> Put this whole text, verbatim, into a photo of a glossy magazine article on a desk, with photos, beautiful typography design, pull quotes and brave… pic.twitter.com/NVm1r4UEHY — fofr (@fofrAI) November 20, 2025
What’s really cool is that text adherence is still maintained even when you are trying out various styles or designs. Nano Banana Pro does not sacrifice one or the other. This means we can take an infographic with a lot of dense information and actually apply some interesting styles to them. Take a look at these Machine Learning posters we created, for instance:
We’ve also been seeing some cool design spreads that might have taken folks hours to lay out using other tools. We see this as a great model for designers to rapidly design and iterate on mockups and potentially create assets that could be used in production.
Cover magazine editors are done.
Let me show you how good Nano Banana Pro is at creating magazine covers. I intentionally used Indonesian magazine prompts to see whether the model would misspell non-English text.
It didn’t. 🤯
Nano Banana Pro follows long prompts precisely.… pic.twitter.com/0JCRJ7gkjK — DΞV (@junwatu) November 21, 2025
Nano Banana Pro is here!
I used it to generate an app design mock up for a tower defense game
This will be so great for getting app design inspiration pic.twitter.com/HXxoFBodmA — Connor (@Jchammond_) November 20, 2025
nano banana を使うと文章のみ1回目でここまで正確な画像を数秒で生成してくれるというのは、AIが製造分野に使える十分な理由になると思う。… pic.twitter.com/6joHXAcFbw — ぶたまる@生技 (@pokamaru3) September 28, 2025
Bottom line? With Nano Banana Pro, you no longer have to compromise between accurate text rendering and creative design freedom. The model maintains pixel-perfect text accuracy while fully embracing your stylistic input.
Characters
One of the standout features of Nano Banana Pro is its ability to handle character consistency across multiple reference images. The model can process up to 14 reference images simultaneously, allowing you to maintain consistent character appearances, poses, and styles across different scenes and contexts. This makes it incredibly powerful for storytelling, brand consistency, and creating cohesive visual narratives where the same characters need to appear in various situations.
NANO BANANA IS INSANE🤯 Prompt in ALT👇 pic.twitter.com/eqVSYLw0Hn — Sebastien Jefferies (@SebJefferies) November 20, 2025
Multiple characters also means that we can input multiple objects to synthesize a new image. This is great for virtual try-on (a little too great):
Turned these photos into one cinematic visual in…
Excerpt shown — open the source for the full document.
Notability
notability 2.0/10Low traction guide on minor model