Quote the exact string
When the image must include words, put the final copy inside double quotes and keep it short. Pair the quote with layout language: centered, top banner, corner badge, arched neon tube. Third-party walkthroughs such as GPTImg2AI’s GPT Image 2 prompt guide stress that vague phrases like “cool typography” fail more often than “glowing red neon sign reading ‘Open’, centered above the door.”
Front-load the subject, then the letters
Many models weigh earlier clauses more heavily. Describe the hero object or person first, then the inscription that sits on it. If you lead with a long slogan, the model may render ornate lettering but lose the product.
Separate subject from clutter
Use photographic separation: shallow depth of field, “background heavily blurred with circular bokeh,” or a clean cyclorama. Busy streets fight legible type unless you explicitly blur midground signage.
Worked example: night market stall
Street food stall at night, steam rising from a wok, cook in apron facing camera. Hand-painted menu board above the stall; the board text reads "Hainan Chicken · $9". Board occupies upper third, warm tungsten on faces, cooler spill from LED price strip. 50mm street lens, f/2, background market lights as soft bokeh circles. Documentary color grade, light film grain. No watermark, no QR codes, no extra languages on the board.
Negative constraints that actually help
End prompts with a short deny list aligned to your use case: no watermark, no fake logos, no additional faces, no gibberish small print. This reduces drift toward stock tropes. For a broader safety and capability overview of the model line, see community writeups like BeFreed’s GPT Image 2 guide (2026) alongside your own tests.
Stacked scene order and light vocabulary: GPT Image 2 Prompts: Scene, Light & Camera Order. Bundled prompts across genres: GPT Image 2 Ready Prompt Examples.