GPT Image 2

Cinematic Bed Jump Photo

A photorealistic cinematic hotel-room action scene of two people jumping on a messy bed, useful for generating energetic lifestyle photography.

Prompt text

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Create a cinematic ultra-wide low-angle action photograph inside a dimly lit {argument name="room type" default="hotel bedroom"}, looking up from the surface of a messy white bed as {argument name="number of people" default="two"} energetic {argument name="subjects" default="young women"} jump high above the mattress. The larger subject on the right is frozen midair with knees bent, arms spread wide, bare feet visible, long dark hair flinging upward in wild strands, wearing a white sleeveless cropped top and pale yellow shorts. The smaller subject on the left is also jumping on the bed with arms raised, messy dark hair in motion, wearing a yellow camisole with white lace trim and blue denim shorts. Keep both faces indistinct or softly obscured by motion and shadow while emphasizing body movement, flying hair, and playful energy. Use dramatic warm hotel lighting: a bright backlight behind the jumpers creates glowing rim light, lens flare, dust particles in the air, and strong silhouettes; bedside lamps glow warmly on both sides, with curtains on the right, a framed picture on the left wall, dark headboard, rumpled white sheets, and large pillows in the foreground. Make the camera feel very close to the bed with a 24mm wide-angle perspective, dynamic diagonal composition, slight fisheye distortion, shallow depth of field, high ISO film grain, realistic skin tones, crisp fabric texture, motion blur on hair and limbs, and a spontaneous candid snapshot mood. Style: {argument name="visual style" default="photorealistic cinematic editorial photography"}, warm shadows, high contrast, chaotic joyful atmosphere, no text, no watermark.

Source & attribution

sirou（神武滅殺） · 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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