“Create an ultra-realistic 8K DSLR-style photo of a stylish young man striking a cool pose. He is wearing a white hoodie with a black Gucci logo, slightly unzipped at the collar, light blue cargo pants, and white sneakers. He is holding black sunglasses casually in one hand. The background should feature abstract, textured white and light-blue structures for a clean, modern look. Make sure the man's face and hairstyle match exactly with the reference photo.”
Ultra-Realistic Fashion Photo with Exact Face Match Prompt
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A prompt for Gemini Nano Banana Pro to create an ultra-realistic 8K DSLR-style photo of a stylish young man. It specifies his outfit (white hoodie with black Gucci logo, light blue cargo pants), pose, background (abstract white/light-blue structures), and strictly requires the man's face and hairstyle to match a provided reference photo.
A prompt for generating an ultra-realistic, high-detail portrait of a young man in a black leather jacket posing next to a red supercar in a luxury car showroom. The prompt specifies cinematic lighting, glossy reflections, and an editorial fashion style, requiring the AI to match the subject's appearance from a reference photo.
A Nano Banana Pro JSON prompt configuration for ultra-realistic portraits that strictly match a reference photo’s face and outfit using high reference fidelity.
A highly structured JSON prompt for Gemini Nano Banana 3.0 Pro, detailing a photorealistic fashion portrait. It specifies 8K quality, cinematic lighting, a low angle, and includes detailed descriptions of the subject's appearance, wardrobe (including specific Nike shoes), pose (dynamic with prominent sneaker sole), and background, with a strict requirement to use the user's exact face.
A highly detailed JSON prompt for generating an ultra-photorealistic portrait of a glamorous woman backstage at a circus. The prompt specifies her exact pose, clothing (white mini dress, garter stockings), and technical details, including the use of hard on-camera flash against red velvet curtains, requiring the AI to match the subject's face from a reference image.
An extremely detailed prompt for generating an ultra-realistic macro photograph of a handcrafted miniature diorama. The scene features a young woman reading a newspaper next to a table with food and wine, a Vespa scooter, and a building structure that must accurately match a product's architecture from a reference image. The prompt emphasizes museum-quality craftsmanship and strict realism constraints.
A structured JSON prompt for Nano Banana 2 via Gemini, generating an ultra-photorealistic, high-fashion street editorial image of Blackpink's Rosé. The prompt details a gold latex mini dress, a sophisticated Beverly Hills shopping street setting with reflective boutique windows, and a specific pose where she looks directly at the camera over her shoulder while holding an iced matcha drink.
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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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