AI Prompt for 64K DSLR Urban Fashion Photo Collage

"Transform this image [Upload Your Image] into a 64K DSLR shot resolution of a stylish urban fashion photoshoot presented as a 3x3 collage, featuring a young man (same face as the uploaded image) captured in candid lifestyle poses across a modern city setting. He has short straight brown hair, light skin, and wears black rectangular eyeglasses. His outfit is minimal and coordinated: a deep burgundy baseball cap with subtle embroidered text, an oversized white sweatshirt with a small elegant graphic logo on the chest, burgundy tailored trousers with a clean modern fit, and clean white sneakers. He carries a small black crossbody bag in some frames. Each panel captures a different natural pose adjusting his glasses, walking, leaning against a wall, turning casually, lifting one arm confidently, or holding the brim of his cap, creating a relaxed, confident, everyday fashion mood. His expressions range from thoughtful and calm to cheerful and carefree. The setting is an outdoor urban environment with modern architecture, cobblestone walkways, neutral-toned buildings, large wooden planters, and leafless trees decorated with red lantern-style lights. One central frame features a classic storefront façade labeled “{argument name="storefront label" default="[Add Text]"},” adding a European café street aesthetic. Backgrounds are softly blurred, emphasizing the subject while maintaining environmental context. Lighting is natural daylight with soft shadows, overcast tones, and balanced exposure. The color palette is cohesive and elegant, burgundy reds, crisp whites, muted greys, and warm wood tones, creating a refined street-style look. Textures are realistic: cotton fabric folds, natural fabric movement, leather accessories, and stone pavement. Shot in high resolution, lifestyle fashion photography style, shallow depth of field, editorial composition, authentic street photography feel, clean framing, modern Instagram lookbook aesthetic, minimal color grading, soft contrast, natural motion capture. Octane render & Unreal Engine."