{
"image_prompt": {
"scene": {
"description": "ultra-realistic empty street at night with tall trees lit by overhead streetlights",
"details": [
"bright streetlight illuminating upper branches",
"scattered white petals covering the road",
"deep shadows and dark building silhouettes",
"dim shops and houses on the side"
]
},
"lighting": {
"type": "nighttime street lighting",
"details": "strong overhead lamp casting focused glow on tree leaves, soft spill light on pavement, dark background contrast"
},
"environment": {
"mood": "quiet, calm, slightly cinematic nighttime ambiance",
"elements": [
"empty road",
"sidewalk with fallen petals",
"faint distant streetlights",
"trees forming a canopy"
]
},
"camera": {
"framing": "vertical composition showing road depth and tall tree",
"style": "low-noise clean night shot",
"depth": "deep perspective with visible far-end lights"
},
"quality": "8K hyper-realistic, crisp night lighting, detailed shadows, natural colors",
"signature": "VIVEK HY"
}
}
Ultra-realistic Night Street Scene with Petals
0
0
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A JSON prompt for generating an ultra-realistic 8K vertical image of an empty street at night. The scene features tall trees lit by streetlights, scattered white petals on the road, and deep shadows, creating a quiet, cinematic ambiance.
A highly specific prompt for an ultra-realistic fashion photo featuring an adult woman reclining on a white sofa surrounded by red roses and petals, with a critical instruction to strictly lock the identity and appearance to a reference image, and including graffiti-style 'Valentine's Day' text on the background wall.
A prompt for generating an ultra-realistic commercial photograph of a luxury perfume bottle, centered on a minimal beige background, featuring floating blue flower petals and soft studio lighting for a clean, premium aesthetic.
A highly detailed, structured prompt for generating an ultra-realistic luxury commercial product photograph of the 'LUMÉA SKIN Glow Elixir' vial, specifying container shape, rose-gold cap, liquid color (luminous peach), composition elements (blush pedestal, rose petals, lychee), and diffused studio lighting with a dynamic splash arc effect.
An extensive JSON-formatted prompt for generating an ultra-cinematic, hyper-realistic advertisement image of a luxury perfume bottle ('NOIR ÉLIXIR'). The prompt details the product's design (ruby gradient glass, rose-gold cap), composition (floating mid-air, swirling mist), environment (black velvet background, floating elements like rose petals and crystal fragments), and dramatic low-key studio lighting for an 8K resolution render.
A highly detailed JSON prompt for generating ultra-luxury cinematic floral photography. It specifies the bouquet composition (roses, peonies, ranunculus, orchids), composition (floating petals, matte black vase on marble), lighting (soft rim lighting, warm directional key light), color palette, and technical camera specifications (macro lens, 8K resolution, shallow depth of field).
A prompt for Nano Banana 2 to generate a hyperrealistic image of a Pepsi can floating mid-air, surrounded by glowing blue cosmic petals, emphasizing metallic textures, condensation droplets, and reflections on the water surface below.
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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).
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
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Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.
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.
Identify devices based on information actively requested
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.
For apps, your choices are saved in device storage prefixed by “IABTCF_”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this app.
For accelerated mobile page (AMP) sites, your choices are saved in local storage prefixed by “amp-store”. Your choices will be invalidated after 390 days and overwritten once you make new privacy choices on this site.
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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, 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, 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, Browsing and interaction data, Non-precise location data, Precise location 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, Authentication-derived identifiers, Browsing and interaction data, User-provided 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, User-provided data, Precise location data
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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