Use the uploaded picture as a reference (Strict identity lock, the face must match the attached reference photo exactly, preserving facial structure, skin tone, expression, and hairstyle (same haircut and hair texture) to create an ultra-realistic cinematic double exposure portrait of me in a clean left-facing side profile, sharp jawline and natural facial structure clearly defined.
The outer silhouette is dark and well-contoured against a soft warm beige sunset background. Inside the silhouette, seamlessly blend a dramatic urban street scene at golden hour: a lone me walking forward in the center of an empty destroyed city road, symmetrical perspective lines, damaged buildings on both sides, broken debris scattered along sidewalks, electric poles and cables stretching into the distance.
The sun positioned directly at the horizon behind the walking figure, creating strong backlight glow and long stretched shadow toward the camera.
Warm orange sunlight flooding through the internal city scene, high contrast, cinematic depth, realistic textures, smooth blending edges between portrait and environment.
Moody yet hopeful atmosphere, 8K resolution, sharp detail, soft vignette. size 45 image generate.
A detailed prompt for Nano Banana 2 to create an ultra-realistic cinematic double exposure portrait. It requires strict identity lock from an uploaded reference photo, using the subject's profile as the outer silhouette. The internal scene must be a dramatic urban street at golden hour with the subject walking forward, creating a moody yet hopeful atmosphere with strong backlighting and 8K resolution.
A JSON prompt for an artistic black and white portrait featuring a young man. The key element is the 'multiple exposure' effect, creating soft, ghost-like echoes of the subject's silhouette on a bright white high-key background, resulting in a dreamy and ethereal mood.
A highly structured JSON prompt for generating an 8K cinematic double exposure image. The primary subject is a blonde woman in profile, whose silhouette is filled with a vibrant inner scene of Rio de Janeiro at sunset, featuring Christ the Redeemer and the Lagoa Rodrigo de Freitas.
A highly detailed JSON prompt for generating a realistic iPhone front-camera selfie of a young woman sitting up in bed, wrapped in a rumpled hotel duvet. The prompt focuses on the intimate pose, the exposure of the upper body and thighs, specific physical details (ash-blonde hair, freckled skin, nose ring), and the dramatic high-contrast lighting from a city window.
A highly detailed JSON prompt for generating a hyper-realistic, unfiltered smartphone-style close-up selfie of a young woman. The prompt emphasizes specific details like deep tan, visible sun exposure, sharp white tan lines, natural skin imperfections, and the physics of the clothing (black strapless tube top) and anatomy. The setting is an outdoor balcony with jalousie blinds in the background.
A highly structured JSON prompt for creating a cinematic double exposure image. The primary subject is a blonde woman's profile, with the inner scene depicting her walking in Rio de Janeiro, emphasizing warm tones, high contrast, and an airy summer vibe.
A prompt for generating a hyper-realistic, double exposure photograph combining the silhouette of an AI engineer's profile with a symbolic environment of glowing neural networks and futuristic server architecture, suitable for a stock photo aesthetic.
You can choose how your personal data is used. Vendors want your permission to do the following:
TCF vendors
Store and/or access information on a device
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Advertising 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 an ad is presented to you).
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
Understand audiences through statistics or combinations of data from different sources
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).
Ensure security, prevent and detect fraud, and fix errors
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.
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.
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, 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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