Female fan watching soccer match from stands AI Image Prompt
Use the uploaded reference image of the woman as the strongest identity and hairstyle anchor. She must be the exact same adult woman, not a similar person. Preserve her facial identity with high priority: same face shape, jawline, eye shape and spacing, nose, lips, skin tone, calm but focused expression, and hairstyle. Do not change her hairstyle. Create an ultra-realistic candid soccer broadcast screenshot of the same woman watching a football match from the spectator seats. She is a {argument name="team name" default="Bayern Munich"} supporter wearing a {argument name="jersey color" default="red"} {argument name="team name" default="Bayern Munich"} football jersey. She has a serious, focused gaze. She is holding a {argument name="team name" default="Bayern Munich"} hand towel, red and white official merchandise. Place the uploaded {argument name="opponent name" default="Paris"} vs {argument name="team name" default="Bayern Munich"} final score image in the upper-left corner as a TV broadcast overlay. The stadium atmosphere should be realistic: football crowd, soccer stadium lighting, live TV broadcast camera perspective, slight video softness, mild motion blur in background, telephoto compression, natural skin texture, imperfect candid framing. 16:9 horizontal TV broadcast composition. Do not include any baseball-related elements: no baseball stadium, field, jersey, cap, bat, cheering stick, glove, diamond layout, dugout, or scoreboard. Do not make her face wider, older, sharper, more westernized, more idol-like, or generic. Keep the same delicate identity from the reference image, translated naturally into a real soccer stadium environment.
Content: Formula: strong identity anchor (reference image) + soccer match spectator scene + ultra-realistic broadcast screenshot style + 16:9 composition + score overlay at top-left + stadium lighting/telephoto/motion blur realism. Replaceable: team name, jersey color, opponent name.
Pros: Very strong identity consistency, rich realistic details
Cons: Many constraints, uploading multiple reference images adds complexity
Reference image: Obvious reference-image dependency
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