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Layered Axonometric Space Diagram in Clean White

A white-background axonometric infographic that splits one spatial node into stacked layers, with flow lines, numbered callouts, a legend and bilingual labels. It reads like a page from an architecture portfolio.

Model
GPT Image 2
Type
4 images
Aspect ratio
4:5
Shared
3 Jun 2026
Likes on X
315
Make it yoursSwap in your own details: 3 blanks to fill

Project nameSpatial nodeSpace type

Image prompt

2,821 characters

Based on the space name, space type, and reference materials I provide, generate a "professional spatial axonometric infographic / layered axonometric design diagram." Project name: {fill in the name, e.g., Guangzhou Baiyun Airport T2 / a commercial complex / a campus library / an urban park / a hotel lobby} Space type: {fill in, e.g., airport transport hub / commercial space / campus building / park landscape / exhibition space / hotel space / urban plaza} Spatial node to break down: {fill in one specific area, e.g., departures-level drop-off zone / arrivals pick-up zone / commercial atrium / campus entrance / children's activity area / hotel lobby / pavilion entrance hall} Reference materials: I may upload floor plans, satellite imagery, real photos, sections, functional descriptions, or style references; please consider them comprehensively. Image requirements: Generate an axonometric infographic on a white background in a professional architectural-portfolio style. The composition must be a layered axonometric or sectional axonometric structure, not an ordinary rendering. Break this spatial node into clear spatial layers and functional systems so the viewer instantly understands how the space is organized, used, and flows. Show in the image: 1. Building / site base interface 2. Main functional areas 3. Pedestrian / vehicle / circulation / service flow lines 4. Key facilities, nodes, entrances, waiting areas, service areas 5. Landscape, paving, furniture, signage, small human figures, vehicles, or related scale elements 6. Numbered callouts, legend, arrows, flow lines, small key-data cards 7. A well-designed English main title + Chinese subtitle Visual style: clean white background, professional architectural portfolio layout, exploded axonometric diagram, sectional axonometric diagram, architectural infographic, thin grey linework, light grey building mass, dark grey hardscape, soft green landscape, subtle shadow, orange and blue functional highlights, numbered callouts, bilingual labels, legend, key plan, flow diagram, small human figures, vehicles, trees, wayfinding signs, refined editorial title design. Information density: The image should carry rich layered information, color markers, functional annotations, and legend explanations, while overall staying refined, clean, and orderly. Not too empty, not like an ordinary rendering, and not a chaotic pile of information. Important constraints: If reference materials are insufficient, a conceptual design expression is acceptable, but do not pretend it is a survey-grade reconstruction. Real locations may be expressed in a designed way based on uploaded materials and public impression, without requiring fully precise restoration. The final image should be a "spatial logic diagram," not a photorealistic rendering.

How to use it

Start by filling in the project name, space type and the one spatial node you want broken down, since the diagram is built around that single area. Keep the layer logic, the flow lines and the legend structure, because those carry the diagnostic look. It was shared as a GPT Image 2 prompt, and reference floor plans or photos can be uploaded to refine the layout. The result suits a design pitch, a campus or transit presentation, or a portfolio plate.

#3D Render#Educational#Infographic#Presentation

Featured inInfographic AI prompts

Shared publicly on X on 3 Jun 2026. All credit for this prompt and its result goes to its creator. Is this yours? Ask for an update or removal.

2,821 characters

Questions about this prompt

Which AI model was this prompt made with?

It was shared as a GPT Image 2 prompt, and the image on this page is the result the creator got with it. Other models can read the same text, but the result will look different.

Can I change the details in this prompt?

Yes. It has 3 parts you can swap: project name, spatial node, space type. Open the prompt studio, fill them in and copy your version; anything you leave empty keeps the original wording.

Who made this prompt?

It was shared publicly on X by @MrLarus on 3 Jun 2026. The prompt and its result belong to them, and this page links to the original post.

More from @MrLarus