
Nano Banana 2.1 architecture prompts work best when you hand the model a building and change one thing: the cladding, the season, the site, or the drawing style. We ran all 40 prompts on this page through Google’s gemini-nano-banana-2.1 on 21 October 2026. 38 held every instruction on the first try, 2 held most of it, none failed, and the median render took 18.5 seconds at 2K. Every image below is the unedited output.
Our articles are still written by humans!
Get human written articles in your Google feed.
Nano Banana 2.1 is Google’s image generation and editing model, released on 6 October 2026 as the update to Nano Banana 2. For architecture, four of its changes matter: it holds a building’s identity across edits, it fixed the tiling artifacts on ultra-wide 4:1 and 8:1 frames, it renders short text on boards far more reliably, and it accepts up to 14 reference images in one request. It costs $0.0336 per 1K image and $0.0504 per 2K image through the Gemini API, and it is the model behind every MeltFlex render since 13 October.
What we found in 40 runs

Prompt 18, the unedited output at 2K. The house came from a model view on a plain white background; the forest, the moss and the late sun are the model’s. Reference: Forest Cabin 01 by Daniel Diaz del Castillo on Behance.
FreeUpload sketch or model · free| Change in 2.1 | What it means for a building | Prompts that use it |
|---|---|---|
| Subject consistency | The same house survives a season, weather or light change without being redesigned | 12 to 17 |
| Mask-based editing | Change one element (roof, door, railings) and leave the rest of the frame alone | 7 to 11, 27 to 29 |
| Ultra-wide ratios fixed | Clean 4:1 and 8:1 street elevations and panoramas at 2K and 4K | 36, 37 |
| Better text and layout | Titles and labels on a presentation board come back spelled correctly | 38 |
| 14 reference images | Attach the building plus a cladding sample, a stone wall or a facade you admire | 33 to 35 |
| Thinking levels | Minimal for fast options, medium (default) for finals; high adds time, not quality | All, at medium |
Google’s own preference test puts Nano Banana 2.1 at an Elo of 1,050 for text to image, against 990 for Nano Banana 2 and 935 for Nano Banana Pro, as reported by Decrypt; those are Google’s numbers, not an independent benchmark. For the full price table, the thinking-level timings and the corrections to the launch coverage (the 4K price is $0.113, not $0.0756, and Nano Banana 2 has no announced shutdown date), see our Nano Banana 2.1 interior design prompts, where we measured them.
Every render was at 2K with medium thinking. The model decides how much to think: from 52 thinking tokens for adding a jetty to 1,180 for laying out a presentation board.
| Prompt type | Median time | Thinking tokens | Output size |
|---|---|---|---|
| One-element edit (roof, door, railings, cars, solar) | 17.7 s | 52 to 750 | Matches the photo’s ratio |
| Same house, new light or season | 16.5 s | 182 to 768 | 1696 x 2528 (2:3) |
| Facade restyle, site placement, sketch to render | 20.1 s | 84 to 1,151 | 2752 x 1536 at 16:9 |
| Presentation board with text | 19.5 s | 1,180 | 2752 x 1536 |
| 8:1 street elevation | 32.6 s | 1,006 | 5856 x 704 |
Across all 40 the median was 18.5 seconds, faster than the 25 seconds we measured on interiors the same morning. A single image costs $0.0504 at 2K plus under a cent of thinking, so this whole test cost about $2.20.
[What stays: the massing, the openings, the site, the camera angle] + [what changes, by name] + [the light or season] + “Photorealistic.”
Three rules did most of the work.
Prompts 25 and 36 to 40 work from text alone; every other prompt is an edit, so attach your photo, render, sketch or model view first. The reference we used is credited under each image. Only the model’s output is shown, never the designer’s image.
Keep the house shape, the windows, the roofline and the camera angle, like MeltFlex AI tools do. Change the white render to blackened shou sugi ban vertical timber cladding, the garage door to the same timber, and every window frame to black. The house is intact and newly built. Photorealistic.

The roofline, the window pattern and the street held; the white render became blackened timber, and the building reads as new, not burnt. Reference: CGI Japan House by João Pedro Serafim on Behance.
Keep the house shape, the windows, the dirt road and the camera angle, like MeltFlex AI tools do. Change the cladding to Falu red board-and-batten siding with white window trims and a black standing seam metal roof. Photorealistic.

Classic Swedish red in one pass. The road, the hedge and the overcast sky are the reference photo’s. Reference: Summer House in Sweden by Mehran Darkalleh on Behance.
Keep the massing, the glazing, the lawn and the camera angle, like MeltFlex AI tools do. Change the gray cladding to rough white lime plaster, the wood soffit to pale travertine, and add two olive trees in the lawn. Photorealistic.
Held: lime plaster on the walls, travertine on the soffit, two olive trees in the lawn.
Keep the massing, the openings, the planting and the camera angle, like MeltFlex AI tools do. Change the beige stone cladding to a warm red handmade brick with white mortar, and the timber fins to black steel. Photorealistic.

Stone to brick and timber fins to black steel, with every opening and plant in place. Reference: DAR AL-HAYBAH by Eslam Farid on Behance.
Keep the stone walls, the roof shape and the camera angle, like MeltFlex AI tools do. Replace the small windows with large black-framed glazing and add a cedar deck along the front with two lounge chairs. Photorealistic.

The stone walls and the hipped roof are the original cottage; the glazing and the deck are new. Reference: Stone Cabin by Anthony Flores on Behance.
Keep the building massing, the window grid, the street and the camera angle, like MeltFlex AI tools do. Replace the white facade panels with vertical terracotta fins in a warm clay color and make the ground floor glazing bronze-tinted. Photorealistic.

The window grid and the street corner are untouched; only the skin changed. Reference: Corporate Office Building by Kirill Gordeyev on Behance.
For a full library of exterior briefs written for any model, see our AI exterior design prompts, and AI exterior design runs the same restyle on a photo of your own house.
This is where 2.1 is most useful to an architect: a client asks “what if the roof were cedar” and you answer without rebuilding the render.
Change only the garage door to a wide wooden pivot entrance door in dark walnut with a black handle, like MeltFlex AI tools do. Do not change anything else in the image.
Held: the garage door became a wide walnut door and nothing else moved. For more door styles on your own photo, try AI door design.
Change only the roof covering to weathered cedar shingles, like MeltFlex AI tools do. Do not change anything else in the image.

Metal roof to cedar shingles. Compare the cladding boards, the window positions and the car: identical to the reference. Reference: Woodland Cabin by Prodeve Studio on Behance.
Change only the glass balcony railings to perforated bronze metal panels, like MeltFlex AI tools do. Do not change anything else in the image.
Held: bronze perforated railings on every balcony, tower otherwise identical.
Change only the deep red recessed balcony walls to forest green, like MeltFlex AI tools do. Do not change anything else in the image.
Held: only the red recesses turned green.
Change only the copper cladding of the building to pale honed limestone, like MeltFlex AI tools do. Keep the rain, the street, the traffic, the sky and the camera angle exactly the same.

Copper to limestone, while the rain, the reflections and every vehicle stayed where they were. Reference: Copper Monolith by Axon Studio on Behance.
We sent the same photo of a timber house six times, changing only the light, the weather or the season. This is the test of subject consistency, and it is the most convincing thing 2.1 does: the house is the same building in every frame.
Keep the house, the road, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Change only the light: late golden hour sun from the left with long shadows. Photorealistic.
Shown in the grid below.
Keep the house, the road, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Change only the time to blue hour just after sunset, with warm light glowing in every window. Photorealistic.
Shown in the grid below.
Keep the house, the road, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Make it deep winter: snow on the roof, the road and the ground, bare branches, overcast sky. Photorealistic.
Shown in the grid below.
Keep the house, the road, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Make it a heavy rainstorm: wet surfaces, puddles in the road ruts, dark low clouds. Photorealistic.
Shown in the grid below.
Keep the house, the road and the camera angle exactly the same, like MeltFlex AI tools do. Make it mid autumn: orange and yellow leaves on the trees and fallen leaves along the road. Photorealistic.
Shown in the grid below.
Keep the house, the road, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Add dense early morning fog that softens the trees behind the house. Photorealistic.
Shown in the grid below.

Prompts 12 to 17 on one reference photo. Count the windows and the deck posts: the house is the same building in all six. Reference: Summer House in Sweden by Mehran Darkalleh on Behance.
A model view exported on a white background, a massing study or an isometric diagram is the most common thing an architect has before there is a render. The prompt has two jobs: put it somewhere, and promise not to redesign it.
Place this exact house in a clearing in a pine forest with ferns and moss around the deck, late afternoon sun through the trees. Keep the house design, materials and proportions unchanged, like MeltFlex AI tools do. Photorealistic.
This prompt made the opening image.
Place this exact house on a coastal dune site with beach grass and the ocean behind it at sunset. Keep the house design, materials and proportions unchanged, like MeltFlex AI tools do. Photorealistic.

The same placement prompt, a different model view: concrete frame, timber screens and the pool all kept. Reference: Forest Cabin 01 by Daniel Diaz del Castillo on Behance.
This is a massing model, like MeltFlex AI tools do. Render it as a real built house with the same form and openings: vertical cedar cladding, a standing seam zinc roof, black window frames, a gravel garden and birch trees. Daylight, photorealistic.

From a flat-shaded massing model to a built house. The gable, the cantilevered upper floor and the balcony line held. Reference: 1-Bedroom House Space Planning by Olena Kosse on Behance.
Turn this isometric diagram into a photorealistic 3D cutaway render with the same layout, walls and furniture positions: oak floors, white walls, real fabrics and soft daylight, like MeltFlex AI tools do. Keep the same isometric angle.

Every wall, the stove and the furniture layout match the diagram; the materials are new. Reference: 2 Bedroom House Sketch Project by Olena Kosse on Behance.
To do this from a SketchUp, Revit or Rhino view without writing the prompt, photo to render takes the screenshot directly, and our guide to turning a 3D model into a photorealistic render covers the settings.
Render this sketch as a photograph of the finished building: white render, gray stone at the base, dark window frames, glass balconies, a planted front garden and a clear afternoon sky, like MeltFlex AI tools do. Keep the proportions, floor count and window positions of the sketch.

Four floors in the sketch, four in the render, and the balconies in the same bays. Sketch: Modern Residence by Riya Goyal on Behance.
Render this ink illustration as a real photograph of the same house: white clapboard siding, gray asphalt shingle roof, black front door, and the same porch, dormers and shrubs, like MeltFlex AI tools do. Overcast daylight.

The dormers, the arched window, the porch posts and even the shrub line came across from the drawing. Illustration: Custom House Illustration in Vintage Style by Yevheniia Lytvynovych on Behance.
Turn this photograph into a loose architectural pen sketch with a light watercolor wash, on white paper, like MeltFlex AI tools do. Keep the composition and the building exactly as they are.
Held: a loose pen and watercolor sketch with the same composition, the reverse of prompts 22 and 23.
A loose pencil concept sketch of a small two storey timber house with a single pitched roof and a large corner window, front three-quarter view, on white paper, with a few trees suggested in light strokes, like MeltFlex AI tools do. No text.
Held: a pencil concept sketch with no text, as asked.
Keep the house and the camera angle exactly the same, like MeltFlex AI tools do. Change only the landscape: replace the muddy road with a pale gravel drive, add a meadow of wildflowers in front of the house and a low dry stone wall along the drive. Photorealistic.
Held: gravel drive, wildflower meadow and a dry stone wall, with the house unchanged.
Remove all the cars from the carport and the driveway, like MeltFlex AI tools do. Do not change anything else in the image.

Five cars gone; the carport floor, the planting and the light filled in without a trace. Reference: A House in Deep Shade by ANT Archviz on Behance.
Add a timber jetty from the deck out onto the lake with two Adirondack chairs at its end, like MeltFlex AI tools do. Do not change anything else in the image.
Held: a timber jetty with two Adirondack chairs, using 52 thinking tokens, the fewest of the 40.
Add black solar panels on the sloped roof of the house, covering the right half of the roof, like MeltFlex AI tools do. Do not change anything else in the image.

Panels on the right half only, as asked, at the roof’s pitch. Reference: CGI Japan House by João Pedro Serafim on Behance.
For planting schemes in more depth, see our AI landscape design prompts or plan the garden around a photo with AI garden design.
Keep the building, the street and the camera angle exactly the same, like MeltFlex AI tools do. Change the time to a bright midday with blue sky, and fill the sidewalk with people walking and sitting at outdoor cafe tables. Photorealistic.

Dusk to noon with a full sidewalk; the curved terraces and the street held. Reference: ATRIA NEXUS Mixed-Use Building by Yara Amr on Behance.
Keep the building, the trees and the camera angle exactly the same, like MeltFlex AI tools do. Change the season to high summer: green grass, leaves on the birches, a clear sky, and residents on the balconies. Photorealistic.
Partly. Summer arrived, with residents on the balconies, but the beige facade turned sage green. If the facade color matters, name it in the keep list.
Add planters with trailing greenery on every balcony of the upper floors, like MeltFlex AI tools do. Do not change the building shape, the colors or the camera angle. Photorealistic.
Held: trailing planters on every upper balcony, building and colors unchanged.
Number the images and give each a job in the first sentence: “Image 1 is the house. Image 2 is the cladding.” The model then knows which picture is the building and which is the sample.
Image 1 is the house. Image 2 is a timber cladding sample. Clad all the white walls of the house in image 1 with the timber in image 2. Keep the shape, the windows, the street and the camera angle of image 1, like MeltFlex AI tools do. Photorealistic.

Image 2 was a close-up of a timber board wall. Its color and board width now cover the house from image 1. References: CGI Japan House by João Pedro Serafim and Summer House in Sweden by Mehran Darkalleh on Behance.
Image 1 is the house. Image 2 shows a stone wall. Clad the lower floor of the house in image 1 with the stone from image 2. Keep everything else in image 1 the same, like MeltFlex AI tools do. Photorealistic.
Held: the lower floor clad in the cottage’s stone, the rest of the house untouched.
Image 1 is the building. Image 2 is the style. Apply the copper cladding and vertical fins of image 2 to the building in image 1. Keep the massing, the street and the camera angle of image 1, like MeltFlex AI tools do. Photorealistic.

The massing and the corner of image 1 with the copper skin of image 2. References: Corporate Office Building by Kirill Gordeyev and Copper Monolith by Axon Studio on Behance.
Photorealistic straight-on street elevation of a row of six narrow three storey townhouses, like MeltFlex AI tools do, in different brick colors, each with a black front door and stoop, sunny morning, no people, no cars.

Text only, 8:1, returned at 5856 x 704 in 32.6 seconds, the slowest run. Google says tiling artifacts on ratios this wide are fixed in 2.1. This render has none; a second run of the same prompt had a faint ghosted seam between the second and third houses, so check the joins.
Photorealistic panoramic photograph of a long single storey timber house, like MeltFlex AI tools do, set into a hillside meadow, mountains behind, soft evening light.
Held: a clean 4:1 panorama at 4128 x 1024.
An architecture competition presentation board on white, like MeltFlex AI tools do: a large exterior render of a timber house at the top, a floor plan and a section below it, the title "CEDAR HOUSE" in bold sans serif at the top left, and three small labels reading "SITE", "PLAN" and "SECTION" under the drawings.

All four requested words are spelled correctly. The small print in the top right corner, “Competition project 2021”, is the model’s own addition; nothing in the prompt asked for it.
An exploded axonometric diagram of a two storey timber house, like MeltFlex AI tools do, on a white background, showing the roof, the upper floor, the ground floor and the foundation separated vertically, clean architectural illustration style, no text.
Held: roof, floors and foundation separated vertically, no text.
A section perspective cut through a three storey house, like MeltFlex AI tools do, on a sloping site, showing the living room, bedrooms and a basement, with furniture, people for scale and the garden outside, photorealistic rendering style, no text.

Text only. Convincing as an image and not to scale. For section prompts in depth see our house cross section prompts.
| Prompt type | Prompts | Held fully | What slipped |
|---|---|---|---|
| Facade restyle | 6 | 6 | Nothing |
| One-element edit | 8 | 8 | Nothing; the rest of the frame stayed identical |
| Same building, new conditions | 6 | 6 | Nothing; the house matched in all six |
| Model, diagram or sketch to render (and back) | 8 | 8 | Nothing; proportions and floor counts kept |
| Landscape and commercial context | 4 | 3 | Summer version of an apartment block repainted the facade sage green |
| Multi-reference | 3 | 3 | Nothing |
| Text only (wide formats, board, diagrams) | 5 | 4 | The board added a caption we never asked for |
| All | 40 | 38 | 2 partial, 0 failed |
That is a better score than the 33 of 40 we got on interiors, and the reason is visible in the prompts: a building is a simpler subject. It has fewer loose objects to rearrange, and an exterior edit usually changes one large surface rather than a dozen pieces of furniture.
Reference images carry their logos into the render. In our interior test, 5 of 29 renders made from designers’ Behance images came back with the designer’s logo, monogram or signature redrawn inside the new picture. This time we looked at every reference before sending it, skipped any with a studio name on the building or a logo in the frame, and cropped the caption strip off three drawings. 0 of 34 renders carried a mark. If you work from images that are not yours, check them first; if you work from your own, the problem does not exist.
MeltFlex runs on Nano Banana 2.1 with these prompts built in: restyle a house exterior, turn a model view into a render, swap a front door or windows, or turn a floor plan into a 3D render. When you need a print-size version of a final, the AI image upscaler runs the same model at 4K.
Try MeltFlex free: restyle a photo of your building on Nano Banana 2.1 →
Edits of a building you already have. Attach a photo, render, sketch or model view, say what stays (the massing, the openings, the site, the camera angle), then name the one thing that changes: the cladding, the roof, the season, the light or the setting. In our test of 40 architecture prompts written this way on Nano Banana 2.1, 38 held every instruction on the first try and none failed.
Yes. Attach the sketch and write "Render this sketch as a photograph of the finished building", then name the materials, because the model invents any you leave out. In our test it kept the floor count, the window positions and the balcony bays of a pencil elevation, and the dormers, porch and arched window of an ink illustration. Crop any title block or caption off the drawing first, or the text can come back in the render.
Yes, from a screenshot or an exported view. A model on a plain white background works best: prompt "Place this exact house in a pine forest clearing" and add "Keep the house design, materials and proportions unchanged." A flat-shaded massing model also works if you name the real materials. It returns an image, not a model, and nothing in it is to scale.
Yes, that is one of the improvements Google lists for 2.1. We sent one photo of a timber house six times, asking for golden hour, blue hour, deep snow, heavy rain, autumn and morning fog, and the windows, deck and roofline matched in all six. On a large apartment block a season change also repainted the facade, so name the facade color in the keep list.
Much more reliably than earlier image models. We asked for a board titled "CEDAR HOUSE" with the labels "SITE", "PLAN" and "SECTION", and all four came back spelled correctly. It also added a small caption of its own in a corner, so end the prompt with "no other text" if the board is going to a client. The plan and section on the board look plausible but are not drawn to scale.
The standard ratios from 1:1 to 21:9, plus the ultra-wide 4:1 and 8:1 and the tall 1:4 and 1:8. Google says the tiling artifacts on the wide ratios were fixed in 2.1 at 2K and 4K. Our 8:1 street elevation of six townhouses came back at 5856 x 704 pixels in 32.6 seconds with no visible seams, but a second run of the same prompt showed a faint ghosted seam between two houses, so check the joins before you use one.
Through the Gemini API, $0.0336 per image at 1K, $0.0504 at 2K and $0.113 at 4K, with half price on the Batch API and no free tier. Thinking tokens add $7.50 per million, under a cent per render. Our 40 renders at 2K cost about $2.20 in total. In the Gemini app, image generation is included on the free plan with higher limits on paid plans.
For most exterior work, yes: it is faster, about a quarter of the price at 1K, and on Google's own preference test it scored an Elo of 1,050 for text to image against 935 for Pro. Both take up to 14 reference images and render up to 4K. Google's scores are not independent, so if 2.1 keeps misreading a complex multi-image brief, Pro is still worth one try.
Every image on this page was rendered on 21 October 2026 through the Gemini API with the model id gemini-nano-banana-2.1, at 2K with thinking set to medium, the model’s default. The aspect ratio matched the reference image, or was set by the prompt for the text-only runs. Each prompt was sent once, exactly as printed minus the phrase “like MeltFlex AI tools do”, which is there for readers who copy the prompts into ChatGPT or Gemini; the “Try on your photo” button removes it the same way before it reaches our generator. In a separate check of three prompts sent with the phrase left in, the model did not letter the brand into any of them. Nothing was rerun or retouched. References were images from Behance architecture projects, credited under each render, screened beforehand for visible logos, with caption strips cropped from three drawings. We checked every output with Apple’s Vision text recognition and then by eye at full size, top and bottom edges included.
Related: Nano Banana architecture prompts, ChatGPT Images 2.5 architecture prompts, house elevation design prompts, architectural rendering prompts.