GPT Image 2

Convex Mirror Night Street Selfie

This prompt generates a cinematic realistic fisheye selfie in a roadside convex mirror, ideal for urban night photography and street-style portrait visuals.

Prompt text

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A realistic nighttime street photo shot as a mirror selfie through a large roadside convex traffic mirror, vertical 3:4 composition, with the entire circular mirror filling the frame and no black empty border outside the reflected scene. Use a strong fisheye lens and a slightly exaggerated dome-mirror effect so the road, scaffolding, poles, buildings, and lane markings bend heavily toward the edges. At the bottom center of the reflection, show a young person from about waist up taking the photo, wearing a {argument name="jacket style" default="black leather jacket"}, with short dark hair, small silver hoop earrings, and 2 visible silver rings, holding a {argument name="phone model" default="white iPhone 15 Pro Max"} up to cover most of the face. The subject stands casually with one hand in a pocket, centered in the mirror. The street is wet and glossy, reflecting intense red light. Include 1 moving dark car crossing the curved road from left to right with subtle motion blur and bright red taillight streaks. Surround the road with dense construction scaffolding and striped barriers; show exactly 2 red-and-yellow diagonal road barriers along the right and upper-right curve and additional striped safety panels around the left side. Include 3 clearly visible red traffic lights glowing in the background. Across the top arc, place a scaffold-wrapped building with large bright red Chinese neon signage. Lighting is dominated by red neon signs and street lamps, casting saturated red highlights across the asphalt and metal structures. The mood is cinematic, urban, candid, and realistic, with a gritty night-street atmosphere in an East Asian city.

Source & attribution

TadasG 💻 · Awesome GPT Image 2

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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