Woman caught by TV camera at baseball game AI Image Prompt
Use the uploaded reference image as the strongest identity anchor. The woman must look exactly like the same adult woman from the reference image, not just a similar Korean woman. Preserve her exact facial identity with high priority: same small oval face, delicate jawline, large clear eyes, eye spacing, eyelid shape, straight nose, soft muted pink lips, pale clear skin, refined calm expression, and long black softly wavy hair. Create an ultra-realistic candid KBO baseball broadcast screenshot of the same woman accidentally caught by a live TV camera in the spectator seats. Team names: LG and F1. Her face should remain closer to the reference image than to a generic stadium fan. Do not change her into another person. Do not make her face wider, older, sharper, more westernized, or more idol-like. Keep the same delicate studio-portrait identity, but translated naturally into a real stadium environment. She is seated among a lively Korean baseball crowd, holding an iced drink and a cheering stick, wearing a clean white baseball jersey over a simple casual top. She adjusts her hair with one hand, notices the camera, and gives a small natural smile, slightly surprised but composed. Use a realistic far-distance broadcast camera look: telephoto compression, mild video softness, slight motion blur in the crowd, stadium lighting, natural skin texture, imperfect candid framing, 16:9 horizontal TV broadcast composition.
Content: Subject (specific woman) anchored by reference image identity, scene: KBO baseball audience, actions (holding drink, cheering stick, adjusting hair, smiling), style (ultra-realistic candid TV broadcast), lens (telephoto compression, mild softness), composition (16:9 horizontal), lighting (stadium lighting), color (natural skin tone).
Pros: Strong identity consistency; detailed description for precise control.
Cons: Over-reliance on reference image may limit creativity; long prompt may challenge model parsing.
Reference image: Obvious reference-image dependency
Source materials are collected from publicly accessible web pages. Contact us if a rights issue needs review. Copyright & Privacy
