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London Fashion Street Portrait Prompt

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A stylish British woman in a burgundy blazer and mini skirt confidently walks past a luxury boutique on a sunlit London street

Prompt

152 words
Photorealistic cinematic fashion video set on an elegant London shopping street inspired by Bond Street. A stylish British woman in her late 20s walks confidently past a luxury boutique. She wears gold earrings, a burgundy double-breasted blazer, matching mini skirt, a light blue ruffled silk blouse, a structured dark red leather shoulder bag, and metallic pointed heels. Her chestnut hair is styled in a sleek low bun.
Her phone rings. She glances at the screen, stops gracefully, and answers. A male voice asks, “Hello there, can you please scan your outfit?” She smiles and replies in a soft British accent, “I guess so.”
The camera performs a smooth head-to-toe scan, displaying elegant text labels for each outfit item, then ends on a confident editorial pose in front of the boutique window.
Bright natural sunlight, shallow depth of field, smooth gimbal movement, luxury editorial aesthetic, polished and sophisticated mood, 9:16 vertical, 15 seconds.

About this prompt

London Fashion Street Portrait is a ready-to-use portrait prompt for GPT Image 2 on Image 2. Copy the 152 words below, paste them into the Create form, and you will get a result close to the preview above. Tweak the Portrait, Fashion, Travel tag if you want to push it somewhere new.

Use it as a starting point, then adjust the subject, lighting, or composition to suit your idea. The credit cost stays the same whether you use it as written or customize it.

Use case

A strong starting point for Portrait

Start here when you want a portrait image inspired by London Fashion Street Portrait. The prompt already sets the look and composition; replace the subject, product, colors, or scene details to match your project.

Easy places to tweak

  • Subject Swap in your person, product, place, or object without changing the overall composition.
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    Copy the prompt

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  2. Step 2

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  3. Step 3

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