GPT IMAGE — PATTERN & TEXTURE KIT TILES▌
Supporting surface patterns for decks and slide backgrounds.
Prompt Generator
Generate Your Prompt
Fill in the fields below to generate an optimized prompt based on best practices
Examples
Filled example
Input Variables
Frequently Asked Questions
Best Practices
Critical Best Practices
Ordered structure (scene → subject → constraints)
criticalWrite prompts in consistent order: background/scene → subject → details → exclusions. Include intended use (ad, UI mock, infographic) so the model sets polish level.
Example:
"Create a realistic mobile UI mock… White background … place in iPhone frame. No decorative clutter."
Lock in-image typography
criticalPut verbatim copy in quotes or ALL CAPS; specify placement, contrast, font style. For dense layouts use higher quality tier. Spell tricky brands letter-by-letter if needed.
Recommended Best Practices
Use explicit photorealism cues
recommendedFor believable photography, include “photorealistic” or “real photograph” plus lens, framing, lighting, and texture (fabric wear, pores). Avoid sterile studio-perfect language unless intentional.
Edits: “change only X; keep…”
recommendedFor image→image edits repeat invariants each turn: identity, layout, logos, angles. Say ‘do not alter saturation/lighting/objects’ when drift is unacceptable.
Optional Enhancements
Quality vs latency
optionalgpt-image-2 defaults for new work; use lower quality tiers for drafts / volume. Prefer medium/high for dense text, infographics, fine faces, slides. Very large canvases (>2K) may be less consistent.