Ultra-Realistic Portrait of Side-Sitting Woman in Cream Living Room AI Image Prompt
9:16 vertical ultra-realistic portrait cinematic shot. Reference the first image for the woman's facial features, skin tone, temperament, and long straight black hair; reference the second image for the cream-and-orange luxury curved sofa, cream-style living room, round coffee table, and overall spatial style. A 26-year-old East Asian woman with a slender natural stature, fair delicate luminous skin, refined three-dimensional facial features, smooth flowing black long straight hair, light natural makeup with moist red lips, a gentle sweet expression with a soft smile, elegant and graceful. She wears minimalist diamond drop long earrings, a thin platinum collarbone necklace, and an ultra-thin quartz watch; dressed in a simple V-neck fitted bodycon mini dress, with nude sheer stockings and light silver glossy pointed stiletto heels, showing full shoe details. She sits languidly sideways on the cream-and-orange luxury curved sofa, crossing one leg over the other, with the upper toe lightly tapping the round coffee table, relaxed and natural posture, elegant but not stiff. Background: cream-style luxury living room, soft natural light pouring in, warm and translucent lighting, the sofa fully presented without clutter, clean image, ultra-high-definition realistic photographic quality, cinematic soft tones, no watermarks or text.
Content: Multi-reference fusion: subject (26yo East Asian woman with detailed features), scene (cream-style luxury living room with curved sofa & round coffee table), style (ultra-realistic cinematic), composition (9:16 vertical, sideways seated with crossed legs), lighting (soft natural light), colors (cream palette), materials (detailed skin/hair/clothing/furniture textures)
Pros: Extremely detailed subject and scene, merging two reference images; clear lighting and color specifications easy to reproduce
Cons: Overly long prompt may limit AI creativity; high consistency risk due to dual reference dependency
Reference image: Clearly depends on reference images (1st and 2nd images)
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