Urban Urban Fashion Cinematic Portrait
A cinematic fashion photography prompt featuring a confident East Asian woman in an urban setting with golden hour lighting and high-contrast styling.
This is a gpt-image-2 prompt case for Fashion & Beauty. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.
Prompt
Copy-ready prompt
Hyper-realistic film touching portrait, the protagonist is{argument name="subject" default="Confident young East Asian women"} Standing against the backdrop of a modern city skyline, looking directly at the camera, her long black hair flowing in the wind, her makeup natural, wearing silver hoop earrings and layered necklaces, dressed in {argument name="outfit" default="Oversized blue denim jacket with dropped shoulders, paired with a minimalist black sweatshirt."} Arms crossed, a clear attitude, golden hour sunlight, shallow depth of field, blurred skyscrapers in the background, an emotional urban fashion blockbuster style, clear facial details, soft skin texture, dramatic shadows, cyan sky, DSLR photography, 85mm lens, f/1.8 aperture, high contrast, high-end street fashion advertising aesthetics, Vogue-style fashion photography, ultra-detailed, photorealistic, cinematic color grading.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
subject
Default
Confident young East Asian women
Variable
outfit
Default
Oversized blue denim jacket with dropped shoulders, paired with a minimalist black sweatshirt.
Reuse and source notes
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- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
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Where does this case come from?
This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.