Men’s Skincare – Clinical Dermatology Visual

Ultra-realistic premium dermatology skincare advertisement featuring a male model holding a sunscreen product. IMPORTANT — PRODUCT LOCK Use the attached product image as the exact reference (image-to-image / reference input). The product must be identical to the reference image — same shape, proportions, label placement, colors, typography, cap, texture, and reflections. Do not redesign, restyle, reinterpret, or generate a new version of the product. Do not change colors, text, or branding. The product must look like a direct photograph of the original. CAMERA & CONSISTENCY SETTINGS Ultra wide-angle lens: 18–24mm Camera positioned close to the product Slight low angle (below eye level) Product slightly closer to lens than face Maintain correct product proportions (no distortion) MODEL Handsome male model Sharp jawline, defined cheekbones Natural skin texture (no over-smoothing) Slight healthy flush Calm, confident dermatology-style expression Looking directly at camera STYLING Light premium shirt (white or light blue button-up) Clean, minimal, well-fitted No patterns, no logos, no accessories POSE Tight portrait (head and upper chest) Product held near jawline or cheek Fingers visible but not covering branding Hand slightly forward to create depth BACKGROUND Solid light grey or off-white Seamless studio background No props or distractions LIGHTING High-key dermatology lighting Soft, even illumination Minimal shadows Clean highlights on product edges Accurate color rendering (no color grading) FOCUS & QUALITY Both face and product in sharp focus No blur on product Clear and readable label Realistic skin and material texture NEGATIVE PROMPT no product redesign no label change no color shift no extra text no distortion of product no unrealistic skin smoothing no stylization no cinematic color grading no props no duplicate products GENERATION SETTINGS (FOR CONSISTENCY) Midjourney: --style raw --s 50 --q 2 --ar 1:1 Stable Diffusion: CFG 5–7, low denoise (0.3–0.5 for img2img) Use image reference strength high (0.7–1.0)