Male Ancient Dandy Lord Three Views and Face Close-up AI Image Prompt
16:9 horizontal composition, character strictly follows reference image. Left 1/3 area: super high-definition close-up of face. Right 2/3 area: neatly arranged three full-body orthographic views including Front, Profile, and Back. Background: pure white. Visual alignment: all views must have consistent proportions, ensuring character height, facial features, and clothing folds perfectly match across angles. Ultra HD, photorealistic 8K, CG modeling rendering. Male character three-view, left half face close-up: round face, frivolous and greasy eyebrows and eyes, drooping corners of the eyes, turbid eyes with a lecherous and philistine look. Right side: Front, Profile, and Back full-body standing illustrations. 45-year-old ancient noble lord, slightly plump, black hair tied in a high jade crown with a cheap jade hairpin. Loose dark-patterned light gray brocade lord's robe, wide silk sleeves, thick-soled cloud-pattern cloth shoes. Slouchy and skewed standing posture, playing with a jade pendant in one hand, with a nonchalant and irresponsible dandy expression. Pure white background, 3D Chinese-style realistic modeling, unified oily and slack facial texture. Exclusive negative prompt: hard lean figure, refreshing young face, armor and martial uniform, coarse cloth clothing, cartoon Q-style, sharp and righteous eyebrows, short hair, bright-colored robe, scarred fierce face, modern suit (make face slightly smaller)
Content: Subject: male character (45-year-old ancient noble lord); Scene: pure white background; Style: 3D Chinese-style realistic, ultra HD 8K; Composition: 16:9 horizontal, left 1/3 close-up of face, right 2/3 three views (front, profile, back); Lighting: uniform, no specific direction; Color: gray brocade with dark pattern; Material: brocade, silk, cloth shoes; Lens: multi-view combination; Proportion: strictly consistent; Relies on reference image.
Pros: Clear composition with rich character detail; Multi-view consistency aids 3D modeling reference.
Cons: Heavily dependent on reference image, low flexibility; Overly detailed negative prompts may hinder generation.
Reference image: Clearly relies on reference image
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