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'Analiza esta foto y dame un *prompt* JSON muy detallado para reproducirla. Debe ser muy detallado y desglosar la gradación de color y todos los colores exactos de la foto.'Usa este JSON como referencia para generar una persona sosteniendo mi producto [adjuntar imagen del producto]
Imagen principal de e-commerce - Flujo de trabajo para generar fotos UGC realistas con Nano Banana Pro y ChatGPT
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Un flujo de trabajo detallado que describe cómo usar las capacidades analíticas de ChatGPT para generar un *prompt* JSON altamente específico a partir de una imagen de referencia (para gradación de estilo/color), y luego alimentar ese JSON en Nano Banana Pro (a través de Gemini Pro) junto con una imagen de producto para crear UGC (contenido generado por el usuario) fotorrealista que presenta un modelo consistente sosteniendo el producto.
A highly structured JSON prompt for generating hyper-realistic commercial product photography of three different desserts (waffle cones, wafer rolls, ice cream), emphasizing frozen motion, dramatic lighting, and indulgent aesthetics.
An extremely detailed, structured JSON prompt for generating hyper-realistic commercial product photography using Gemini Nano Banana. It specifies a vertical split-screen layout featuring two modules: one for a chocolate milkshake with dynamic splashes and floating elements, and the other for a metallic Nescafé can with explosive splashes and moody atmosphere.
A structured prompt for generating a hyper-realistic commercial product photograph of an orange soda can splashing into liquid. It specifies extreme clarity, cinematic studio lighting, frozen motion (splashes, droplets), and floating elements like oranges and ice cubes, all against a solid bright orange background for a high-impact visual.
A highly structured JSON prompt for generating a hyper-realistic, ray-traced product shot (placeholder) in a Cyber-Techno style, focusing on levitation, absolute black background, complex materials (frosted glass, violet acrylic), and optical effects like chromatic aberration and cyan emissive elements.
A highly structured JSON prompt for generating commercial food photography of three chocolate chip cookies. It specifies a hyper-realistic style, 8K resolution, and a dynamic floating explosion of ingredients (chocolate chunks, sugar crystals) against a solid pastel blue studio backdrop, emphasizing frozen motion and razor-sharp focus.
A highly detailed JSON prompt for generating ultra-modern, hyper-realistic product photography of a levitating object (placeholder), emphasizing specific material textures, minimal lighting (rim light), and a pure black void background.
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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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