Ultra-real cinematic fashion portrait AI Image Prompt
Use the uploaded image as the exact identity reference. Preserve the face 100% accurate — same facial structure, proportions, skin tone, eyes, lips, hairline, and unique details. Ultra-realistic cinematic editorial portrait, vertical 4:5 composition. Subject leaning slightly toward the camera with both forearms forward, fingers naturally interlocked near the chin, one finger subtly resting close to the lips. Strong, calm eye contact with a composed confident expression. Hyper-detailed natural skin texture with visible pores, soft imperfections, realistic under-eye detail and authentic facial depth. Natural hair strands with clean volume and texture. Outfit: {argument name="outfit" default="fitted black open-collar shirt with subtle luxury styling, metallic watch, bracelet and thin chain"}. Lighting: {argument name="lighting" default="moody studio lighting with teal/green rim light on one side and warm red/orange edge light on the opposite side"}, soft frontal fill maintaining facial detail. Deep black cinematic background with minimal distractions. Shot like high-end fashion campaign photography on {argument name="camera" default="Hasselblad X2D / Fujifilm GFX"}, 80mm lens, shallow depth of field, razor sharp focus on face and hands, ultra realistic textures, premium RAW look, cinematic contrast, zero artificial or plastic skin appearance. RAW photo processing, micro-contrast, clarity boost, detailed sharpness, luxury editorial aesthetic. Ratio 4:5.
Content: Structure: Uploaded identity reference → 100% face match → hyper-realistic cinematic portrait (4:5 vertical) → subject leaning, fingers interlocked near chin, steady gaze → natural skin detail (pores, imperfections) → voluminous hair → outfit/lighting parameterized (default black shirt+dual rim light) → deep black background → Hasselblad/Fuji 80mm shallow DOF → RAW post with micro-contrast. Relies on reference image for face consistency.
Pros: 1. Face 100% accurate, ideal for identity consistency. 2. Rich details (skin, light, camera) offer high controllability.
Cons: 1. Heavily reliant on reference image; poor input degrades output. 2. Parameterized placeholders require user input, risking misinterpretation.
Reference image: Explicitly dependent on reference image/uploaded image
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