Ultrarealistisches4:5-Porträt in einem Vintage-Editorial-Stil mit hohem Kontrast. VerwendenSie das Referenzbild für die Identität, das Gesicht und das Haar der Person – bewahren Sie die exakten Gesichtszüge, Proportionen und die Ähnlichkeit.
DiePerson steht und lehnt sich zurück gegen einen verzierten Flügel, wobei beide Arme ausgebreitet auf der Flügelkante ruhen. IhrKopf ist leicht in den Nacken gelegt, mit einer entspannten, verführerischen Pose und leicht geöffneten Lippen.
Sie trägt ein schwarzes Satin-Korsett-Top mit tiefem herzförmigem Ausschnitt und Hakenverschluss auf der Vorderseite, kombiniert mit einer schwarzen Lederhose.
Zu den Accessoires gehören goldene Creolen, mehrlagige dünne Goldketten mit einem dunklen Kreuzanhänger und ein dünnes Goldarmband.
DerSchauplatz ist ein verzierter Raum im Vintage-Stil mit einer warmen, gedimmten Atmosphäre. DerFlügel ist schwarz mit gedrehten Blattgoldbeinen und goldenen Paneel-Details. ImHintergrund befinden sich eine texturierte terrakottafarbene Wand, ein gerahmtes Landschaftsgemälde in einem schweren Goldrahmen sowie schwach erkennbare Mikrofonständer auf der rechten Seite.
DieBeleuchtung erfolgt durch einen direkten Frontblitz, der einen hohen Kontrast mit starken Schatten an der Rückwand erzeugt.
HoherDetailgrad, scharfe Texturen, cineastischer Editorial-Fotostil, geringe Schärfentiefe, präziser Fokus auf das Motiv.
Produktmarketing - Vintage-Editorial-Porträt mit hohem Kontrast
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Ein ultrarealistischer Prompt für Nano Banana Pro zur Erstellung eines 4:5-Porträts im Vintage-Editorial-Stil mit hohem Kontrast. Das Motiv (Sabrina Carpenter oder Sydney Sweeney) lehnt an einem verzierten Flügel und wird mit direktem Frontblitz aufgenommen.
A structured JSON prompt for generating a high-contrast, low-angle fashion editorial photograph of Steve Harrington in a tailored bright orange suit, set in a monochrome orange studio with a vintage orange car in the background.
A highly detailed JSON prompt for Gemini Nano Banana Pro, aiming for a 1960s Riviera chic aesthetic, similar to Slim Aarons photography. It describes a sun-kissed woman on a vintage wooden Riva speedboat, emphasizing harsh midday lighting, high contrast, and authentic film grain.
A JSON prompt for generating a 4-frame collage (grid) of a 'Vintage Glamour Piano Series'. The prompt specifies a young woman with dark hair and red lipstick, wearing a sheer, crystal-covered bodysuit in an ornate vintage hotel room with a green upright piano. It demands a high-contrast, vintage aesthetic using direct flash photography and fisheye distortion.
A complex, cinematic editorial prompt for generating a high-fashion image of a subject resembling Zendaya in a structural crimson suit and oversized hat. The scene is a chaotic, vintage milliner's workshop, featuring a surreal element where the red suit fabric 'bleeds' into the room like veins, suspending objects. The prompt specifies Hasselblad camera settings and Rembrandt lighting.
A high-priority prompt for generating a photorealistic fashion editorial portrait of a woman holding red lipstick in front of a vintage gold-framed mirror. The key feature is the text 'Happy International Bagel Day' written on the mirror in lipstick, combining a playful message with a sensual, confident aesthetic.
A comprehensive, structured prompt for generating a high-end editorial portrait featuring a woman in a deep crimson mini dress leaning on a glossy black vintage convertible. It includes strict face identity locking instructions and detailed output settings for a luxury, cinematic, and minimalist aesthetic.
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Exponential Interactive, Inc d/b/a VDX.tv
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Browsing and interaction data, Non-precise location data, Precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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