Ultra-realistic Train Portrait AI Image Prompt
Ultra-realistic photorealistic portrait of the same woman from the reference image, preserving her exact facial features, identity, face shape, skin tone, proportions, and unique characteristics with complete accuracy. She is leaning casually against the interior wall of a {argument name="setting" default="modern train"}, looking directly into the camera with a natural, relaxed expression. She wears a {argument name="outfit top" default="minimal beige crewneck cotton t-shirt"} tucked into a {argument name="outfit bottom" default="high-waisted light-wash blue denim midi skirt"}. Her casual outfit is complemented by white crew socks and clean white platform sneakers. She stands beside a large train window revealing a softly blurred rural landscape passing outside under gentle daylight. The train interior is modern, clean, and minimal, creating a warm, aesthetic, and peaceful atmosphere. Natural posture, authentic body proportions, realistic fabric textures, subtle environmental reflections on the window, and lifelike details throughout. Shot with a 35mm lens, natural soft daylight, cinematic composition, shallow depth of field, sharp focus on the subject, ultra-detailed skin texture, realistic lighting, professional travel-lifestyle photography, photorealistic, 8K resolution. Preserve the exact identity of the reference woman.
Content: Subject: woman from reference image. Setting: modern train interior, blurred rural landscape outside. Style: ultra-realistic, cinematic photography. Composition: 35mm lens, shallow depth of field, sharp subject. Lighting: natural soft daylight. Color: warm, minimal. Material: realistic skin texture, fabric details. Proportion: authentic body proportions. Lens: 35mm. Additional: preserve reference identity.
Pros: Extremely detailed, ideal for precise control over character appearance and scene atmosphere; explicitly preserves reference identity for consistency.
Cons: Prompt is very long, potentially reducing generation efficiency or risking truncation; heavily reliant on reference image, which may underperform if reference is poor.
Reference image: Clearly relies on reference image
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