IDENTITY LOCK: Use the uploaded photo as the sole identity reference. Preserve the subject's facial structure, skin tone, eye shape, hairstyle, and every distinguishing feature exactly — the person must remain instantly recognizable. No beautification, no face reshaping, no expression change unless stated. SCENE: A 10cm-tall version of the subject riding in a stranger's shirt pocket on a train, arms folded on the pocket's edge like a windowsill, gazing out at the blurred carriage, a folded ticket stub beside them like a bench. LIGHT: Warm 3800K train interior overheads, the pocket casting a soft shadow across their lower half, window daylight at 5900K rimming their hair. CAMERA: 60mm macro f/2.8 focused on the tiny face, shirt fabric weave rendered at true macro scale around them. RULES: Fabric fibers, stitching, and a button in-frame sell the scale; the tiny face fully recognizable; the pocket-owner's face never shown.
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Pocket-Sized Commuter is a surrealism prompt for GPT Image 2, composed for a 4:5 image. No beautification, no face reshaping, no expression change unless stated.
No beautification, no face reshaping, no expression change unless stated.
Keep the prompt structure, then replace the main subject, action, or environment in "No beautification, no face reshaping, no expression change unless stated.".
Adjust one visual signal at a time, such as "60mm", "f/2.8", "macro", "pocket-sized commuter prompt", so you can identify which instruction changes the result.
Keep the focal subject prominent in the portrait frame while preserving enough background detail for feed and poster layouts.
Use one clear reference image and retain the identity-lock instructions when changing clothing, lighting, background, or camera direction.
Use direct natural-language edits after the first generation. State what must remain unchanged before describing the single element you want to revise.
Judge the result by how clearly it communicates the intended surrealism direction while keeping the subject, environment, and visual treatment consistent.
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