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Transforma esta imagen [SUBETUIMAGEN] en una toma de resolución DSLR de 64K de un retrato ultra-hiperrealista, crudo y cinematográfico estilo tríptico, que muestre una escena de estilo de vida automotriz urbano moderno. La imagen se divide en tres marcos horizontales apilados verticalmente, cada uno contando una parte diferente de la historia.
Marcosuperior: Un primer plano intenso del rostro de un hombre (el mismo rostro de la imagen subida) reflejado en el espejo lateral de un coche.
Su expresión es concentrada, tranquila y decidida. Una suave luz natural resalta la textura de la piel, la barba incipiente sutil y los rasgos faciales definidos. La poca profundidad de campo difumina el fondo, creando un ambiente cinematográfico e introspectivo.
Marcocentral: Una toma de cuerpo entero del mismo hombre
apoyado casualmente contra un elegante muscle car negro (estilo Ferrari). Se para con confianza en un callejón industrial rodeado de paredes de hormigón y arquitectura urbana.
Atuendo: camiseta gráfica negra ajustada, pantalones grises ajustados, zapatillas bajas marrones. Manos relajadas en los bolsillos, postura segura pero sin esfuerzo. La pintura negra brillante del coche refleja el entorno, enfatizando el poder y la elegancia. La perspectiva de ángulo bajo añade dominio y fuerza.
Marcoinferior: Una dramática toma trasera del
coche, con las luces traseras brillando suavemente. Una matrícula personalizada está centrada, añadiendo autenticidad y personalidad. El callejón se desvanece en la oscuridad, con líneas guía que dirigen la atención a la postura agresiva del vehículo.
Entorno y ambiente: Callejón urbano e industrial, texturas de hormigón, tonos apagados.
Estado de ánimo: confianza, ambición, independencia, masculinidad moderna.
La atmósfera se siente como una editorial automotriz de alta gama o una campaña de estilo de vida cinematográfica.
Estilo y detalles técnicos:
Fotografía ultra-hiperrealista
Gradación de color cinematográfica (sombras frías, luces neutras)
Alto contraste con negros controlados
Poca profundidad de campo
Iluminación natural suave mezclada con luz ambiental de la ciudad
Grano de película sutil Enfoque nítido en el sujeto, fondo ligeramente desaturado
Cámara y calidad:
Tomado con DSLR / mirrorless de fotograma completo
Combinación de lentes de 35 mm y 85 mm
ISO bajo, detalles nítidos
Resolución ultra-alta de 8K
Fotografía automotriz profesional, calidad editorial. RenderizadoOctane, Ultra-hiperrealista y UnrealEngine5.
Miniatura de YouTube - Prompt para retrato de tríptico automotriz cinematográfico
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Un prompt altamente detallado y estructurado diseñado para transformar una imagen subida en un retrato hiperrealista de estilo tríptico cinematográfico, centrado en una escena de estilo de vida automotriz urbano moderno, enfatizando la alta resolución y las técnicas de fotografía profesional.
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A highly detailed JSON prompt for generating hyper-realistic automotive lifestyle photography during the golden hour. The scene features a professional model with a toned physique washing a {argument name="car type" default="Lamborghini Aventador"} (implied by context/image) in a luxury setting. The prompt specifies dramatic backlighting, intense specular highlights on the wet surface, and a sensual, glamorous mood.
A detailed JSON prompt for generating an ultra-realistic, cinematic automotive portrait. It requires strict identity preservation of the female subject from a reference image, posing with a black Mahindra Thar Roxx in a dim basement garage, using an overhead high-angle shot and soft sunbeam lighting.
A prompt designed to generate an ultra-realistic, high-fidelity 3D render of a car brand's name and logo, integrated with a photorealistic, production-accurate vehicle. It emphasizes cinematic quality, ray-traced reflections, and meticulous detail to reflect the brand's heritage and engineering ethos, suitable for professional automotive photography.
A detailed JSON prompt for an ultra-photorealistic image of a young woman resembling Amanda Seyfried in Y2K streetwear (graphic crop top, distressed micro-shorts, studded belt). The scene is set at dusk by a vibrant orange sports car on a coastal road, emphasizing cinematic lighting, high contrast, and ray tracing reflections.
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Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
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Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
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The choices you make with this CMP regarding the purposes and entities will affect how personalized advertising is presented to you. We need to store these choices to respect them on future visits, and they are stored differently based on the type of site or app you're using:
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TCF vendors
Exponential Interactive, Inc d/b/a VDX.tv
Cookie duration: 90 (days).
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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