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Model
GPT IMAGE 2
Prompt
1,985 / 1,000
A photorealistic cinematic advertising storyboard for a canned drink named "[ENFLAMMER]", formatted as a vertical composite image of exactly 5 storyboard panels separated by thin white gutters. Warm summer daylight color grade, realistic lifestyle commercial photography. Setting: An outdoor café terrace at Place du Capitole in Toulouse, France. The ornate pink-and-cream Capitole façade fills the background, with round metal bistro tables, woven café chairs, potted plants, pedestrians, and bright blue sky. Main Subject: A woman in her late 20s with tanned skin, long wavy dark brown hair, and natural makeup. She wears a straw sun hat and a sage-green sleeveless summer dress with lace trim. She sits alone at a bistro table. Product: A slim matte coral-pink aluminum can with subtle condensation and minimalist typography reading "[ENFLAMMER]". Silver top with a matching coral pull tab. Panel Layout: - Panel 1 (wide top panel, full width): Wide establishing shot of the woman sitting at the bistro table with the upright can, the busy square and Capitole façade in soft-focus background. - Panel 2 (middle-left panel): Medium three-quarter shot of the woman looking down toward the can on the table. - Panel 3 (middle-right panel): Medium shot of her reaching forward with one hand, gently resting her fingers on the can. - Panel 4 (full-width close-up panel): Extreme macro close-up of her fingers lifting the coral pull tab on the silver can lid, showing condensation beads and realistic brushed metal texture. - Panel 5 (wide bottom panel, full width): Side profile close-up of the woman watching the opened can in the foreground, with a single luminous droplet hovering weightlessly above the opening. Style & Constraints: Ultra-realistic commercial photography, shallow depth of field, authentic skin texture, natural lens compression. Consistent character, clothing, location, and can design across all panels. No speech bubbles, no text other than the product name.
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Quality
Medium
Resolution
1K
Number of Images
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