Product Marketing - Retro Red Telephone Portrait

Create an ultra-photorealistic cinematic retro fashion portrait based on the uploaded reference image.

Preserve the woman’s exact natural facial identity and recognizable features from the reference—same face shape, eyes, eyebrows, nose, lips, jawline, skin tone, facial proportions, and overall likeness. Do not reshape, beautify, age, or alter her identity.

Place her in a dramatic monochromatic deep-red interior with a luxurious vintage atmosphere. She is seated confidently on a dark-red sofa beside a matching red table, holding a classic glossy red vintage telephone receiver beside her face. The matching rotary telephone sits clearly on the table, connected by a curled red cord.

She wears a sophisticated oversized burgundy-red tailored coat with broad lapels and a black fitted top underneath. Add a plain burgundy baseball cap with absolutely no logo, lettering, symbols, or text, paired with sleek oversized black rectangular sunglasses. Her dark hair is a smooth shoulder-length bob visible beneath the cap.

Her expression is poised and mysterious, with relaxed lips and confident body language. One hand holds the telephone receiver naturally while the other rests elegantly near her body.

Use rich red-on-red styling, subtle black accents, deep shadows, and warm directional lighting. Add realistic highlights on the glossy telephone and subtle texture on the wool coat. The background should include softly illuminated red walls and minimal vintage furniture.

Photography: vertical editorial portrait, 85mm lens, cinematic composition, shallow depth of field, dramatic studio lighting, realistic skin texture, natural hands and fingers, rich tonal contrast, sophisticated retro fashion aesthetic, luxury magazine photography, ultra-photorealistic, highly detailed, 8K quality. Negative prompt: altered face, different identity, face reshaping, plastic skin, excessive retouching, CGI, cartoon, anime, distorted hands, extra fingers, malformed anatomy, warped telephone, duplicate objects, blurry details, low resolution.