Retrato4:5 ultrarrealista em um estilo editorial vintage de alto contraste. Use a imagem de referência para a identidade, rosto e cabelo da pessoa — preserve as características faciais, proporções e semelhança exatas.
A pessoa está de pé, inclinada para trás contra um piano de cauda ornamentado, com ambos os braços estendidos e apoiados na borda do piano. Sua cabeça está levemente inclinada para trás, com uma pose relaxada e sensual, e lábios entreabertos.
Ela veste um top corset de cetim preto com um decote coração profundo e fechos frontais de colchete, combinado com calças de couro pretas.
Os acessórios incluem brincos de argola dourados, colares finos de ouro em camadas com um pingente de cruz escura e uma pulseira fina de ouro.
O cenário é um ambiente ornamentado de estilo vintage com uma atmosfera quente e suave. O piano é preto com pernas de folha de ouro retorcidas e detalhes em painéis dourados. O fundo apresenta uma parede de terracota texturizada, uma pintura de paisagem emoldurada em uma moldura dourada pesada e suportes de microfone tênues visíveis à direita.
A iluminação é de flash frontal direto, criando um alto contraste com sombras fortes projetadas na parede de fundo.
Alto detalhe, texturas nítidas, estilo de fotografia editorial cinematográfica, profundidade de campo rasa, foco nítido na pessoa.
Marketing de Produto - Retrato Editorial Vintage de Alto Contraste
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Um prompt ultrarrealista para o Nano Banana Pro gerar um retrato 4:5 em um estilo editorial vintage de alto contraste, apresentando uma pessoa (Sabrina Carpenter ou Sydney Sweeney) encostada em um piano de cauda ornamentado, capturado com iluminação de flash frontal direto.
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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