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3D photorealistic campus sports committee three-view

3D photorealistic campus sports committee three-view AI Image Prompt

Prompt

Style: 3D photorealistic, UE5 rendering, ultra-high detail. Based on the character description below, generate a character three-view orthographic sheet on a pure white background, clearly showing front, side, and back standard orthographic views. All details (clothing, hairstyle, accessories) must be identical across the three views. Character description: Campus sports committee member, sunny and tough, highly charismatic. About 17 years old, with healthy light tan skin from outdoor sports, handsome features, sharp facial contours. Neat, short black fluffy hair, fresh and layered, exuding the vitality of a sunny youth. Bright, determined eyes full of confidence and youthful energy, a cheerful smile on the lips, looking straight at the camera. Sunny, outgoing temperament, upright posture radiating the explosive power and reliability of an athlete. Pure white background, no shadows. Display in sequence: full-body front standing view, 90-degree side view, full-body back view. Outfit: dynamic campus sports style – inside a minimalist pure white crew-neck T-shirt, outside a classic red-and-white college-style full-zip jacket (zipper pulled to chest), with a rectangular red 'Sports Committee' badge on the left chest; matching red straight-leg sports trousers with white double stripe trim; white high-tech running shoes. All details (clothing, hairstyle, accessories like badge and stripe trim) must be identical across the three views.

AI Image Content Analysis

Content: Subject: Character three-view (front, side, back). Scene: pure white background. Style: 3D photorealistic, UE5 render, ultra-high detail. Composition: orthographic views side by side. Lighting: no shadows. Color: red and white dominant. Material: clothing details consistent. Camera: full-body standing.

Pros: Standardized three-view setup for character asset creation; clear requirement for consistent details across views.

Cons: Character description redundancy adds parsing burden; strict alignment of three views may limit generation freedom.

Reference image: No obvious reference-image dependency

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