Portrait ultra-réaliste au format 4:5 dans un style éditorial vintage à haut contraste. Utilisez l'image de référence pour l'identité, le visage et la coiffure du sujet — préservez exactement les traits du visage, les proportions et la ressemblance.
Le sujet est debout et s'appuie contre un piano à queue orné, les deux bras étendus et posés sur le bord du piano. Sa tête est légèrement inclinée vers l'arrière, avec une pose détendue et sensuelle, les lèvres entrouvertes.
Elle porte un haut corset en satin noir avec un décolleté en cœur plongeant et des fermetures à crochets sur le devant, associé à un pantalon en cuir noir.
Les accessoires incluent des créoles dorées, des colliers fins superposés avec un pendentif croix sombre et un bracelet doré fin.
Le décor est une pièce ornée de style vintage avec une ambiance chaude et tamisée. Le piano est noir avec des pieds en feuilles d'or torsadées et des détails de panneaux dorés. L'arrière-plan présente un mur en terre cuite texturé, un paysage encadré dans un cadre doré imposant et des pieds de micro légèrement visibles sur la droite.
L'éclairage est un flash frontal direct, créant un contraste élevé avec des ombres marquées projetées sur le mur arrière.
Détails élevés, textures nettes, style photographie éditoriale cinématographique, faible profondeur de champ, mise au point précise sur le sujet.
Marketing produit - Portrait éditorial vintage à haut contraste
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Un prompt ultra-réaliste pour Nano Banana Pro afin de générer un portrait au format 4:5 dans un style éditorial vintage à haut contraste, mettant en scène un sujet (Sabrina Carpenter ou Sydney Sweeney) appuyé contre un piano à queue orné, capturé avec un éclairage au flash frontal direct.
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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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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