
Paris Crosswalk Street Style
A realistic full-body fashion photo prompt for creating an urban street style scene with a woman walking across a Parisian crosswalk.
Prompt
Copy-ready prompt
Create a full-body lifestyle fashion photograph of a stylish young woman confidently walking across a modern European city crosswalk, centered in frame, shot at street level with a natural candid editorial feel. She wears a fitted short {argument name="dress color and style" default="black sleeveless bodycon mini dress"} layered under an oversized open {argument name="shirt color and style" default="white button-down shirt"} with rolled sleeves and fabric flowing naturally as she walks. Add clean white chunky sneakers, a delicate gold necklace, subtle earrings, and a small structured {argument name="handbag" default="black leather top-handle handbag with a gold logo"} held in one hand. Her long dark wavy hair is swept back by movement, posture relaxed and confident, one leg stepping forward. Set the scene in {argument name="city setting" default="Paris-style stone building street with a cafe awning reading SAINT SEVERIN CAFE"}, with zebra crossing stripes in the foreground, classic beige architecture, black iron balconies, cafe chairs, a chalkboard menu, traffic lights, and softly blurred pedestrians in the background. Use warm late-afternoon natural light, realistic shadows, shallow depth of field, high-end street style photography, sharp clothing detail, realistic skin tones, vertical 2:3 composition, no watermark, no extra text besides the cafe sign.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
dress color and style
Default
black sleeveless bodycon mini dress
Variable
shirt color and style
Default
white button-down shirt
Variable
handbag
Default
black leather top-handle handbag with a gold logo
Variable
city setting
Default
Paris-style stone building street with a cafe awning reading SAINT SEVERIN CAFE
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This case is imported from GPT Image 2 OpenLab gpt-image-2-prompts; keep attribution visible and check the source URL before reuse.