
Japanese Woman in Indigo Dress
A detailed structured prompt for generating an elegant woman in a traditional Japanese room wearing a satin indigo dress.
Prompt
Copy-ready prompt
Subject: {argument name="subject" default="Woman in an indigo dress"}
Person/Expression: {argument name="person" default="Woman in her early 20s, clear bright skin, soft oval face, loose black hair bun, thin bangs, natural Japanese-style makeup, calm smile, gentle gaze at the camera"}
Clothing/Pose: Glossy indigo satin long dress, delicate Japanese floral embroidery, thin straps, elegant feminine silhouette, sitting on the edge of a wooden table, elegant pose with one hand on the table and legs naturally crossed, barefoot
Background/Light: Calm Japanese-style room, shoji, tatami, alcove, hanging scroll, ceramic vase, Japanese arrangement with blue flowers, space with the warmth of wood, warm indoor lighting, quiet and high-quality atmosphere
Composition/Camera: Vertical 9:16, full-body portrait, slightly diagonal composition, 85mm portrait lens, shallow depth of field, cinematic portrait with softly blurred background, elegant composition with the person placed near the center
Texture/Style: High definition, 4K quality, natural skin texture, glossy fabric texture, realistic AI portrait, cinematic lighting, Japanese-style portrait, sophisticated Japanese modern, calm color tones, editorial photography
Negative: Low quality, unnatural hands, collapsed face, extra fingers, distorted body, excessive processing, unnatural legs, excessive exposure, text, logo, watermarkPrompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
subject
Default
Woman in an indigo dress
Variable
person
Default
Woman in her early 20s, clear bright skin, soft oval face, loose black hair bun, thin bangs, natural Japanese-style makeup, calm smile, gentle gaze at the camera
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Reuse and source notes
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Where does this case come from?
This case is imported from GPT Image 2 OpenLab gpt-image-2-prompts; keep attribution visible and check the source URL before reuse.





