Winter Fog Portrait

The Prompt

Ultra-realistic cinematic portrait, 8K quality, cool cinematic color grading with muted teal and steel-blue tones. A young man standing on a riverside pedestrian path, hands casually folded in front of him. Relaxed upright posture, calm confident stance. He is wearing a loose white vintage track jacket with teal stripes on the sleeves, dark pants. Clean, elegant look, no cigarette, no smoke. POSE & EXPRESSION: Standing still pose, shoulders relaxed. Head slightly tilted to the right. Eyes looking directly at the camera with a composed, confident expression. Natural facial expression, effortless cinematic presence. BACKGROUND & COMPOSITION: Foggy urban riverbank from a new position. The cable-stayed bridge now appears far behind the subject, centered and higher in the frame. Wide river visible in the mid-ground with soft mist hovering above the water. Concrete path and railing creating strong leading lines toward the subject. Minimal city elements fading into fog for depth. CAMERA & LIGHTING: Full-frame DSLR cinematic look, 90mm lens, f/2.2. Slight low-angle shot to add cinematic dominance. Soft overcast lighting, fog-diffused highlights. Natural shadows, shallow depth of field. Film-still realism, ultra-sharp subject focus. FACE INSTRUCTIONS (EXTREMELY IMPORTANT): Keep the face EXACTLY the same as the uploaded reference photo. Do not alter facial structure, beard, hairstyle, skin tone, or identity. No face smoothing, no beautification, no AI modification. Perfect photorealistic face preservation. TEXT: Add small stylish signature text “AmanZaid” at the bottom-left corner. Minimal handwritten signature style. White or light gray color, subtle opacity, clean and classy. IMAGE SETTINGS: Resolution: 1664 x 2080 pixels (portrait). Ultra-detailed textures, realistic fog, cinematic realism. Professional photography quality. NEGATIVE PROMPT: cigarette, smoking, smoke, vape, cartoon, anime, illustration, CGI, painting, face swap, altered face, plastic skin, blur, noise, watermark, logo, extra text