
Photoreal Schoolgirl Shrine Portrait
This prompt generates a realistic fashion-style portrait of a school-uniformed girl in front of vivid red shrine architecture, suitable for beauty photography or polished character visuals.
This is a gpt-image-2 prompt case for 人像角色. 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
A realistic half-length portrait, the subject being a{argument name="subject" default="young women"} Standing in bright natural sunlight, the photo is taken in a vertical format. She has long, straight hair.{argument name="hair color" default="Dark brown"} Her hair, glossy and lustrous, was parted in the middle and cascaded naturally over her shoulders. She wore a crisp white short-sleeved school uniform shirt with a navy blue striped tie, and a delicate embroidered badge on her left breast pocket featuring a crown and coat of arms. She stood at a slightly angled, relaxed posture, her head turned slightly to one side, creating a sophisticated, candid fashion sense. The background was set to a vibrant {argument name="background setting" default="Red Shrine Building"} Against a blurred background, rich red pillars and details of an arched blue roof are visible. Shallow depth of field and soft bokeh effects keep the subject sharp and in focus. The lighting should be clean, high-contrast, and embellished, with bright highlights on the hair and shirt to showcase realistic clothing folds and natural skin tones, presenting a refined, high-end portrait aesthetic similar to Japanese commercial photography.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
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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.
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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.