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: Shot from a raindrop's position mid-fall a meter in front of the subject who stands under a black umbrella at night, other droplets frozen razor-sharp around the frame at varying focus depths, the subject sharp in the center gap. LIGHT: A 4200K streetlamp behind-left of the subject rimming the umbrella edge and igniting every frozen droplet as a lens sphere; wet street bounce fill from below. CAMERA: 85mm f/2.0, 1/8000s frozen-rain physics, each near droplet refracting a tiny inverted image of the street. RULES: The umbrella sheds a coherent drip line; the subject's gaze is calm and slightly upward toward the rain.
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Raindrop Mid-Fall Portrait is a photorealistic 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 "85mm", "f/2.0", "raindrop mid-fall portrait prompt", "impossible camera angles ai 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 believable materials, natural anatomy, coherent light direction, and a camera perspective that matches the scene.
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