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Pilha hiper-realista de {argument name="dish"default="lasanha"} explodida, com cada camada de ingrediente flutuando em perfeita suspensão no ar com espaçamento igual, fotografada de frente ao nível dos olhos contra um fundo {argument name="color"default="azul escuro"}. Cada camada de ingrediente é claramente separada com sombras suaves por baixo. Os ingredientes são hiperdetalhados — textura visível, brilho, umidade e profundidade. Pequenos vapores sobem dos elementos quentes. Molho e queijo congelados a meio da gota, ultra nítidos. CAMADAS (de baixo para cima): {argument name="layer 1"default="folha de massa"} → {argument name="layer 2"default="queijo ricota"} → {argument name="layer 3"default="molho de carne"} → {argument name="layer 4"default="folha de massa"} → {argument name="layer 5"default="muçarela"} → {argument name="layer 6"default="folhas de manjericão"} → {argument name="layer 7"default="parmesão em pó"}. Cada ingrediente tem uma linha de rótulo horizontal limpa que se estende para a direita com um pequeno ponto no ingrediente. Textodo rótulo em maiúsculas sem serifa: "[NOME DO INGREDIENTE]" com um pequeno descritor em itálico abaixo. Os rótulos alternam entre a esquerda e a direita para facilitar a leitura. Nome grande e elegante do prato no topo: "[NOME DO PRATO]". Subtítulo: "[TAGLINE]". Iluminação: luz principal de estúdio suave do canto superior esquerdo, preenchimento sutil da direita. Fundo: [COR] fosco, limpo e minimalista. Humor: publicidade editorial de alimentos premium, extraordinária e desejável. Resolução 4K, nitidez impecável, calor cromático sutil. Referência de estilo: lançamento de produto Apple encontra fotografia de alimentos com estrela Michelin.
Infográfico / Visual Educacional - Diagrama Hiper-realista de Pilha de Ingredientes Explodidos
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Um modelo de prompt estruturado para gerar fotografia de alimentos hiper-realista, especificamente uma vista explodida de um prato com cada camada de ingrediente flutuando no ar. Inclui espaços reservados para o nome do prato, esquema de cores e até sete camadas de ingredientes, projetado para publicidade editorial de alimentos premium.
A complex JSON prompt for generating hyper-realistic food illustrations with editorial infographic overlays. It details two distinct scenes: a vertical stack of floating cake slices with ingredient labels, and a rolled Syrian dessert with syrup pouring, both emphasizing 8K resolution, cinematic lighting, and detailed composition rules for floating elements.
A prompt requesting an exploded diagram of a Japanese McDonald's cheeseburger, with each ingredient floating and labeled with its name and calorie count in Japanese, styled like a high-end culinary magazine.
A prompt designed to transform a base food photograph into a clean, labeled, exploded-view structural cutaway diagram. This is intended for creating infographic-style images where ingredients are separated vertically while maintaining perfect alignment and scale on a white studio background.
A highly detailed, photorealistic image generation prompt for Gemini Nano Banana Pro, combining a contemporary influencer aesthetic portrait with a technical product anatomy diagram. The scene features a young Eastern European woman eating instant noodles, surrounded by exploded views of the product ingredients and components, complete with technical specifications and cinematic lighting.
A detailed multi-part prompt for generating two distinct images and a motion sequence related to a taco. The first image is a high-end commercial photograph of the taco, and the second is a hyper-realistic exploded-view infographic of its ingredients with specific annotation design requirements. The motion prompt describes a smooth separation of ingredients for video generation.
A dual prompt for food visualization. The first generates a high-quality, minimalist product photo of a grilled shawarma wrap against a pure white background. The second generates a hyper-realistic exploded vertical infographic of the chicken shawarma, detailing floating layers of ingredients (mayo splash, tomatoes, chicken, pita) with clean text labels and macro photography aesthetics.
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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, Authentication-derived identifiers, Browsing and interaction 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, Authentication-derived 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, 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, 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, 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 identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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