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Create a 4:5 stylized mid-shot of a man standing in a dim underground corridor. Vertical gaps in a metal wall cast sharp beams of white light through drifting dust, partially carving his silhouette. Use the uploaded reference image for the face and do not change any facial features or identity. He wears a dark graphite bomber jacket with subtle metallic texture. High contrast lighting, deep shadows, cinematic and futuristic tension, moody atmosphere, realistic materials and skin texture.
Social Media Post - Moody Underground Corridor Portrait
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A prompt for generating a stylized mid-shot of a man in a dim underground corridor, using high-contrast lighting where sharp beams of white light cut through drifting dust, partially carving his silhouette. It requires the AI to strictly use an uploaded reference image for the face and maintain a cinematic, futuristic, and moody atmosphere.
A prompt for generating a photorealistic, candid flash photo mimicking a 1980s underground nerd techno party. It requires using an uploaded image for the main subject's face and mullet, who is wearing shutter shades and dancing intensely among a crowd of 'uncool' 80s geeks in a dark, smoke-filled basement disco.
A highly detailed JSON prompt for generating an ultra-realistic fashion editorial portrait of a young woman sitting on the ground in an underground parking area. The prompt specifies clothing (oversized sweatshirt, mini skirt, red high-heeled sandals), confident posture, and cinematic lighting with neon accents.
A narrative prompt for Nano Banana Pro describing a character named Sloane taking a crucial full-length mirror selfie in a chrome bralette and micro shorts before rushing to an underground warehouse rave, focusing on the holographic material's reflection under flash.
A narrative-driven prompt focusing on a moment of high-tension glamour: a woman named Tatum taking a frantic mirror selfie in a hallway while struggling to zip up a reflective vinyl corset before being late for an underground rave. The prompt emphasizes sweaty skin, chaos, and intense focus rather than a posed smile.
A highly cinematic and detailed prompt for generating a photorealistic scene inspired by Hawkins Lab (Stranger Things). It features a young psychic woman generating a dense, crackling sphere of red-orange energy, causing lab equipment to levitate and glass to fracture, emphasizing dramatic lighting, high contrast, and psychological tension.
A structured JSON prompt for generating a photorealistic, candid portrait of a young woman sitting alone on a London underground platform. The focus is on cinematic realism, a shallow depth of field to blur the background motion, and mixing natural morning light with subway ambient lighting.
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Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
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Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
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.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
Identify devices based on information transmitted automatically
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.
Actively scan device characteristics for identification
With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
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:
For sites, your choices are saved in a cookie named “FCCDCF” for a maximum duration of 390 days.
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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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