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Spring/Summer Window Forest French Light Boudoir Portrait

Spring/Summer Window Forest French Light Boudoir Portrait AI Image Prompt

Prompt

Generate a single high-end portrait in a 3:4 vertical composition based on 1-3 clear personal photos uploaded by the user, with the theme "Spring/Summer window-side forest-style French light boudoir portrait". [Character Consistency] Strictly preserve the user's authentic physical characteristics: face shape, facial proportions, eyes, nose, lips, skin tone, perceived age, hairstyle foundation, and overall temperament. The result must clearly look like the same real girl, not a stranger, not Westernized, not influencer-style, without excessive skin smoothing or an artificial AI face. [Core Style] Overall style: spring/summer window-side, forest-inspired, French light-retro girl's boudoir photoshoot. Vibe: fresh, soft, quiet, ethereal, with hints of laziness, shyness, relaxation, pensiveness, and a sense of being gently wrapped in natural light. The image should look like a candid moment captured by a photographer with a camera in a real bedroom on a spring or early summer afternoon. [Image Quality & Lighting Focus] Prioritize replicating the soft, hazy, glowing texture of a real camera rather than a standard clear AI portrait. [Makeup] Makeup: very light and transparent nude makeup, close to a no-makeup look. Base should be sheer and natural, preserving some real skin texture and natural shadows. [Clothing] Clothing: white, off-white, or beige French-style light boudoir attire, such as lace nightgowns, sheer slip dresses, off-shoulder tulle tops, or soft layered short skirts. Materials: lace, gauze, thin cotton, soft pleats.

AI Image Content Analysis

Content: Structured prompt with modules for character consistency, core style, image quality, makeup, and clothing, using parameter placeholders.

Pros: Strictly preserves user's authentic appearance; detailed style description

Cons: Depends on reference images; parameters may limit creative freedom

Reference image: Obvious reliance on reference images

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