Google Nano Banana for architecture and decoration projects. it’s insane!

Google’s Nano Banana allows you to change colors, textures, lighting, create isometric views, and more without losing any detail in your images. Try it… it’s free!

✎ Autor:  Pau Segui

Nano Banana for architecture and decoration

Nano Banana is the new model of Google’s artificial intelligence for image editing. It allows you to edit photos using text instructions, and it does it very well!

Used in architecture or decoration projects, it is a very powerful tool capable of maintaining defined and coherent details when transforming an image, whether in an isometric view, changing light, colors, elements, or rendering a plan, and it’s free!

You can access Nano Banana from HERE (it’s AI Studio Google because it generates images with better resolution). And we provide some examples of its potential…

1.- From photo to 3D isometric view

Based on a simple photograph, you can ask it to create an isometric view of the building in 3D style, respecting the details as much as possible. The example:

Artificial intelligence of Nano banana for architecture and decoration
AI of Nano Banana used to transform building image to 3D isometric render style – By OVACEN
  • The prompt (text indicator) used is… “Create a 45-degree isometric view of this building as a reference against a gray background. Preserve all building details, including textures, materials, windows, glazing, doors, cornices, and niches. Create the image using a 3D model output style.”

2.- Google Maps image to 3D isometric view

Now we go directly to Google Maps, copy the image, and with the same previous prompt, we have another building in render style in a second. The example:

artificial intelligence applied to google maps
Create render simulations with Google Maps and AI – By OVACEN

Or we can ask it to make a line drawing of an image of another building from Google Maps:

facade delineation with artificial intelligence
Facade delineation with Google Nano Banana artificial intelligence – By OVACEN
  • The prompt (text indicator) used is… “Turn this into an architectural elevation drawing front view with proper liveweights. Add a ground line and create drawing only for the main structure without perspective.”

3.- From plan to render

We have already seen that there are several artificial intelligence tools that do quite well the rendering of a plan to image. In fact, there are AI for making plans that are very good, but with Nano Banana, it’s so easy!

Renders of plans with AI Nano Banana
Renders of plans with AI Nano Banana – By OVACEN

It maintains the details of the plan very well; walls, furniture, distributions, etc. And you just have to use the following prompt…

  • The prompt (text indicator) used is… “Create a realistic rendering of this floor plan. Preserve all the exact details of the plan, including walls, furniture, sofas, and deck space. Show the layout of the house in a studio rendering style. Top-down view (from above) without perspective.”

And if you want to make a 3D perspective of the house layout in the style of a paper model. An example of how it looks:

Create model images for architecture with AI
By OVACEN
  • The prompt (text indicator) used is… “create an isometric 3D model of this floor plan. Retain all the exact details of the plan with walls, furniture, sofas, deck space. create it like a maquette style physical model placed on an empty table. studio photography style lighting”.

🟧 Tip: Sometimes it’s difficult to get the prompt right. In these cases, I always recommend searching – for example on Pinterest – for a style of image you like, paste it directly to ChatGPT or Gemini, and ask it to create a detailed prompt to achieve the style of the photo, you’ll get it right!

4.- From image to phases of a model

With the tests I have conducted, it creates the assembly phases of a model based on an image of a house quite well and quickly! An example:

construction models with artificial intelligence AI
By OVACEN

I leave you the prompt sequence in case you want to try with an image:

  • Phase 1: The basic structure
    • A 3D model of the house from the photo, showing only the raw geometric shapes of the walls and roof. The model is a simple, white, untextured object sitting on a clean workspace. The style is minimalist and architectural.
  • Phase 2: Adding textures and details
    • The same 3D house model, now with basic textures and details added. Show the gray concrete, the light wood paneling, and the large windows and door installed. The model is still on a workspace, with some tools nearby, to show it is a work in progress.
  • Phase 3: The finished model
    • A high-quality 3D render of the completed house model. The maquette is now fully detailed with realistic materials, all windows, doors, and landscaping (grass, plants, and driveway tiles). The model is presented on a minimalist table with professional studio lighting, showcasing every detail and casting realistic shadows.

5.- Change urban environments

Changing the aesthetics of urban environments is really easy. For example, changing a brick building to pink takes seconds. The example:

nano banana image retouching
By OVACEN

Or increase the size of the trees and have them inside planters. You just have to identify the elements to transform. An example:

Google nano banana for architecture
By OVACEN

6.- For decoration

For the decoration and interior design sector, in 90% of the cases where you need to retouch an image, you will have the solution in a minute. At this point, I leave you a video with 30 practical examples, not all are from the sector, but you can already see the potential:

The main problem with Nano Banana is being able to identify in an environment with similar elements those you want to modify

🟧 Note: We remind you that we have a detailed article with different tools for decoration with AI that are really good.

Bonus standard and more professional prompt

One of the issues to obtain a good image or retouch one we already have is in the prompt. There are advertising professionals explaining how to optimize the indicator for Nano Banana:

1.- We create an image from scratch

We start with no image and need to generate one. We will use the following base template prompt:

A photorealistic image of [type of plan] of [subject], [action or expression], set in [environment].
The scene is lit by [description of light], creating a [mood] atmosphere.
Captured with a [camera/lens details], emphasizing [textures and key details].
The image should be in [aspect ratio] format.

The application example would be:

A close-up photorealistic portrait of an elderly Japanese potter with deep sun-marked wrinkles and a warm wise smile. He is carefully inspecting a freshly glazed tea bowl.
The setting is his rustic workshop, bathed in sunlight. The scene is lit by the soft golden hour light coming through a window, highlighting the fine texture of the clay. The overall atmosphere is serene and masterful.
Captured with an 85mm portrait lens, producing a soft, blurred background (bokeh).
Vertical portrait orientation

🟧 Tip: Google Gemini has what is called “Gems”, which are like personalized chats to create specific things. There, you can use the initial template as part of the Gem instruction to facilitate the work.

2.- Adapt an existing image

Here, the game to obtain a more professional image is to get a very detailed description of the photo we have, including the goal of the final retouch. But… How do we do it?

  1. Upload the original image to ChatGPT or Gemini
  2. Indicate that you want… “analyze the provided image and tell me in great detail how it would look [objective of the changes], give your maximum effort” (Maximum effort = is only for ChatGPT which will provide a better result)
  3. Next, instruct the artificial intelligence to transform the previously obtained text into a prompt to use in Nano Banana
  4. And finally, upload the original image + previous prompt, and we have it!

Following the previous steps, you will be able to obtain highly detailed images with the required changes for your projects.

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Autor: Pau Segui

imagen del autor del artículo

BIO: Pau Seguí (Pablo) is founder and director of OVACEN, a digital newspaper. He has more than 18 years of experience in the field of architecture, decoration, construction, urban planning, efficiency, renewables and sustainability. He writes for Construccion21, Inmodiario, and many other publications in blogs and specialized portals.

Directrices Editoriales | Arquitecto Técnico - Director OVACEN | Contacto | Twitter

? El artículo ha sido verificado y revisado por el equipo editorial de OVACEN para garantizar la mejor precisión posible (La información incluye enlaces a medios acreditados, estudios científicos, instituciones académicas y organismos oficiales). Pero, si consideras que nuestro contenido es inexacto, dudoso o desactualizado, puedes contactarnos en artículos@ovacen.com para realizar las correcciones necesarias.

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