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电影级古风写实人像,低角度,半身像特写,年轻俊美僧人,青黑色寸短僧头,立体锋利雕塑骨相,冷白皮,眉眼深邃,狭长深褐眼眸,沉静疏离悲悯眼神,高挺鼻梁,淡色薄唇,额间浅细梵纹,皮肤肌理真实。双层僧袍(做旧),内层暗灰麻粗布… - AI prompt reference from CC Prompt Galaxy

Cinematic Monk Portrait in Snowy Ancient Temple AI Image Prompt

Prompt

Cinematic ancient-style realistic portrait, low angle, half-body close-up, young handsome monk, blue-black close-cropped monk hair, three-dimensional sharp sculpted bone structure, cool fair skin, deep-set brows and eyes, narrow long dark brown eyes, calm detached compassionate gaze, high straight nose bridge, pale thin lips, faint fine Sanskrit mark on the forehead, realistic skin texture. Double-layered monk robe (aged), inner dark gray coarse hemp monk garment, outer dark brown brocade wide-sleeved monk robe, robe covered with intricate dark copper-brown lotus subtle patterns, soft fabric with natural folds and draping, a large string of glossy dark brown wooden prayer beads slung diagonally across the neck, hand holding the prayer beads. Standing sideways, turning head to look directly at the camera, blurred background of a snowy ancient temple scene, snow falling all around, snow-covered stupa, fluttering prayer flags, ancient temple door frame, candle flames and curling wisps of smoke indoors, snowflake particles, blurred foreground. Side backlight with golden rim light on contours, cool-toned snowy ambient light, warm orange candlelight fill, warm-cool contrast, 35mm lens, f/2.8, shallow depth of field, 8K, cinematic rendering, realistic texture

AI Image Content Analysis

Content: Formula: subject (young monk with bone structure, gaze, forehead mark) + wardrobe material (aged double robe, lotus pattern, wooden beads) + composition/lens (low angle half body, side turn, 35mm, f/2.8, shallow DOF) + scene (snowy temple, falling snow, prayer flags, candles) + light and color (rim backlight, warm-cool contrast) + style (cinematic realism, 8K).

Pros: Complete elements with specific material, lighting and lens settings; clear warm-cool contrast and unified mood.

Cons: Dense elements with no priority weighting, may interfere with each other; heavy detail can reduce output stability.

Reference image: No obvious reference-image dependency

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