
Landmark Technical Annotation Information Tour
Create an infographic of the National Stadium·Bird's Nest. Combine real photos of landmarks with white technical note overlays and write the building name in a hand-drawn box in the corner. The picture is superimposed w…
Prompt
Create an infographic of the National Stadium·Bird's Nest. Combine real photos of landmarks with white technical note overlays and write the building name in a hand-drawn box in the corner. The picture is superimposed with complex and clear white technical annotations, showing key structural data, important measurements, material quantities, detailing methods, and including sections, plans, and significant architectural and engineering features, and integrated into a complete overview long picture. The white lines are detailed and clear, the real environment is visible, the vertical composition is professional, rational and readable.
How to use this prompt
Read the complete Landmark Technical Annotation Information Tour prompt and identify the subject, style, camera, lighting, and composition requirements before generating.
Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.
Open https://www.gptimagehub.com/generate?promptId=cmogxnc4y00nrxt5gzz39lgk6, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.
Prompt FAQ
What is the Landmark Technical Annotation Information Tour prompt best used for?
This prompt is best used for infographic / education images where you want a reusable structure, detailed visual direction, and consistent output quality.
Can I edit the prompt before generating?
Yes. The full prompt text is visible on this page so you can change subjects, product names, colors, composition, camera terms, aspect ratio, and style notes before generation.
Which model should I use with this prompt?
Use the model shown in the prompt metadata as the default starting point. If another image model supports the same aspect ratio and instruction style, you can adapt the prompt and compare results.
