Eine hyperrealistische kommerzielle Produktfotografie einer mit Kondenswasser bedeckten Getränkedose mit der Aufschrift „{argument name="beverage label"default="MANGO TANGO JUICE"}“, die dynamisch aus kristallklarem türkisfarbenem Meerwasser hervorplatzt. DieDose ist umgeben von einem Spritzer goldenen {argument name="juice color"default="mango"} Saftes und Wasser. Um die Dose herum schweben frische ganze Mangos, gewürfelte Mangostücke und kristallklare Eiswürfel. DerVordergrund zeigt leuchtende tropische Blumen und grüne Palmblätter, die die Aufnahme umrahmen. DerHintergrund zeigt einen unscharfen sonnigen Tropenstrand mit Palmen. Helle filmische Hintergrundbeleuchtung mit Sonnenreflexionen, funkelnden Wasserspiegelungen, hohem Kontrast, 8K-Auflösung, lebendigen Farben.
E-Commerce-Hauptbild - Prompt für hyperrealistische kommerzielle Getränkefotografie
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Ein detaillierter Prompt zur Erstellung einer hyperrealistischen kommerziellen Produktfotografie-Aufnahme einer mit Kondenswasser bedeckten Getränkedose, die dynamische Action, lebendige tropische Elemente und eine kontrastreiche, filmische Beleuchtung für ein 8k-Auflösungsbild hervorhebt.
A highly detailed, modular prompt for generating an 8K hyper-realistic commercial photograph of a beverage (iced coffee or protein shake) in a tall glass. It focuses on freezing motion, detailing liquid splashes, condensation droplets, floating elements (ice, coffee beans), and cinematic studio lighting for a luxurious, high-end café mood.
A detailed prompt for generating four different hyper-realistic product photographs of slim aluminum beverage cans, each featuring a distinct fruit flavor (Apple, Blueberry, Kiwi, Dragon Fruit) with corresponding fruit arrangements, specific monochrome backgrounds, and professional studio lighting techniques for a high-end commercial advertisement look.
A complex, multi-module prompt for generating ultra-high-definition commercial product photography featuring beverages with frozen splash effects. Module 1 details a matte black can with a pink, creamy splash and floating berries/nuts. Module 2 details a blue protein bottle with a swirling milk splash. Both emphasize extreme clarity, cinematic studio lighting, and micro-detail visibility.
A prompt for generating a hyper-realistic cinematic product photograph of an ice-cold Fanta Orange aluminum can. It details the condensation, the explosion of orange slices and juice splashes frozen mid-air, and the dramatic lighting (golden backlight, cool rim light) designed for high-end beverage commercial aesthetics.
Three separate prompts for Nano Banana Pro, designed to generate hyper-realistic commercial product advertisements for different beverages: a Protein Shake (banana/almond), Grape Soda, and an Energy Drink (pomegranate). Each prompt specifies ingredients, liquid splash dynamics, condensation, lighting, and 8K resolution for a commercial food photography style.
A detailed JSON prompt designed for generating a premium commercial studio product photograph of a beverage can, specifically BOBAco Popping Bubble Tea. The prompt specifies a clean, minimal aesthetic with a pastel pink background, soft diffused lighting, and shallow depth of field, focusing on hyper-realistic details like condensation and fresh raspberries as garnish.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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