Jiangnan schoolgirl healing portrait AI Image Prompt
An 18-year-old oriental Jiangnan beauty, with a melon-seed face, pointed chin, standard three-tone five-eye proportions, willow-leaf eyebrows, peach blossom eyes with long and narrow tail, high straight nose, cherry lips, big double-lidded eyes with long eyelashes, deep and gentle eyes, cool fair skin, ceramic-like delicate, smooth, translucent skin, shoulder-length hair, petite and slender figure, perfect S-curve, well-proportioned body. Natural and casual movement, captured at a random angle. Clear no-makeup makeup look, lazy and playful expression, gentle shy yet confident, sweet and lovely, combining cold and pure-sweet yuang, stunningly beautiful, dignified and lively. Wearing Shenzhen school uniform, accompanied by Chanel-style exquisite accessories and handbag, overall delicate like a young lady. Scene: real shot in a healing manga exhibition background. Master-level cinematography lighting, side light creating transparency texture, depth of field enhancing atmosphere, Morandi cool tones, clean and bright picture, full ambiance. Full-body long shot with ultra-wide-angle lens. Masterpiece-quality real portrait + Instagram influencer style. 8K ultra-high-definition, top-tier quality, rich and detailed. Excluded: blurry, low quality, deformed, extra limbs, ugly, distorted, disproportionate, rough rendering, overexposed, underexposed, noise, watermark, text, signature, border, low resolution, oversaturated, too dark, too bright, distorted, artifacts, color blocks, smudgy, plastic look, oil painting look, cartoon style, 3D rendered look, AI trace, over-smoothing, homogenized influencer face, over-beautification, stiff expression, empty eyes, cluttered background, imbalanced composition, lens distortion, excessive bokeh, depth of field errors, clipping, logical errors, physical errors.
Content: Subject description (age, region, facial features, body) → pose/mood → makeup/outfit → scene → lighting/color → composition/lens → quality → exclusions
Pros: Rich details for precise control of appearance; comprehensive exclusions reduce generation errors.
Cons: Overly verbose, may limit model creativity; some requirements contradictory (e.g., no-makeup makeup vs. influencer style).
Reference image: No obvious reference-image dependency
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