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Image Generation

Generate a photorealistic screenshot of

Generates a photorealistic mobile app screenshot of a United Airlines boarding pass with precisely rendered flight details (flight UA 773, IAH to GCM, 9:07 AM departure, seat 3A) and a fictional non-functional Aztec barcode — ideal for UI mockups and creative design. Both GPT Image 2 and Nano Banana 2 excel at this document text-rendering use case.

ImageUpdated 2026-06-06
image-generationgpt-image-2nano-banana-2ui-mockupboarding-passin-image-text

The prompt

ROLE You are a UI/UX designer and digital mockup artist creating a photorealistic screenshot image of a mobile airline boarding pass — rendered as it would appear on a smartphone screen. SOURCE INTENT Generate a photorealistic screenshot of a United Airlines boarding pass for flight number 773 from Houston, TX to Grand Cayman. Include booking reference, departure time of 9:07 am, arrival time of...

Inputs to customise

  • subjectThe person, product, object, logo, or scene to generate.
  • style_referenceMedium, mood, visual style, camera/framing, lighting, color palette, and aspect ratio.
  • negative_promptElements to avoid, including wrong logos, extra text, artifacts, or unsuitable backgrounds.

Quality checks

  • All boarding pass text strings are quoted exactly: 'IAH', 'GCM', 'UA 773', '9:07 AM', '11:21 AM', '3A' — not described generically as 'flight details'.
  • The Aztec barcode is specified as visually accurate but fictional and non-functional — preventing generation of potentially scannable documents.
  • United Airlines brand colors are specified with hex codes (#1B4FAB blue, #F4F4F4 grey, #333333 text) for consistent brand color rendering rather than relying on the model's training data.

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