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参照参考图 8K超写实古风乞丐老者角色专业定妆多宫格图,16:9宽画幅,纯白色干净影棚背景,均匀柔和自然光打光,无多余环境杂物,标准规范角色设定版式; 画面左侧超大尺寸人物面部特写,还原老者灰白发髻、枯瘦面部、深刻皱纹… - AI prompt reference from CC Prompt Galaxy

Ancient Beggar Elder Character Sheet AI Image Prompt

Prompt

8K hyper-realistic ancient-style beggar elder character professional makeup multi-grid chart, 16:9 widescreen, pure white clean studio background, uniform soft natural lighting, no extra environmental clutter, standard character setting layout. Left side: extra-large close-up of face, restoring the elder's gray-white hair bun, gaunt face, deep wrinkles, golden glowing vertical pupils, facial scars and gray-white beard, face evenly covered with red 9×9 grid lines, clear lines without blocking facial features. Center-top: three full-body views horizontally aligned: front, side, and back, all wearing a tattered dirty earthy-brown coarse linen outfit, full of holes, frayed edges and bloodstains, rope belt at waist hanging a clay bowl and old gourd, right hand holding a deadwood cane, fully reproducing the gaunt figure and weathered texture. Upper-right: 170cm human black silhouette proportion chart, with a separate reference image of the deadwood cane dimensions. Bottom: five detail close-up cards horizontally arranged: golden pupil facial scars, coarse linen fabric hole texture, clay bowl and gourd aged texture, deadwood cane texture, gaunt hand details. Lower-left: color palette labeled earthy brown, charcoal black, deadwood brown, dark gold, gray-white. Overall weathered and fierce with hidden mystery, hyper-realistic texture, extremely clear skin, hair, fabric, and metal details, fully preserving all character modeling and features from the original image, without modifying facial features, body shape, or clothing.

AI Image Content Analysis

Content: Multi-grid character sheet: face close-up + three views + scale figure + detail cards + color palette; white background, natural light, 16:9, hyper-realistic, preserving original design.

Pros: Standard layout for reference; comprehensive details including materials and colors.

Cons: Crowded composition; low freedom due to reference dependency.

Reference image: Clearly relies on reference image to preserve original character details

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