Eine vertikale FotocollageinHandy-Qualität mit drei Panels: eine weite Landschaftsaufnahme oben, ein Porträt in der Mitte und ein Makro-Detail unten. DieBilder folgen einer VSCO-StylePhoto-Dump-Ästhetik mit warmer, lebendiger Konzert-Farbkorrektur, aufgenommen mit einem simulierten iPhone 17ProMax mit verschiedenen Objektiven (Ultraweitwinkel, Weitwinkel, Teleobjektiv) bei Blende f/1.8. DieBeleuchtung stammt von dynamischen Konzertlichtquellen, einschließlich Stroboskoplicht und Handy-Leuchten, was schimmernde Highlights auf der Haut und tiefe, kontrastreiche Schatten erzeugt. DieSzene spielt in einer riesigen Musikarena bei Nacht mit Zugang zum Stadioninnenraum und Blick auf die Bühne, inklusive Videowand und den Silhouetten von erhobenen Händen in der Menge. DasMotiv ist eine 21-jährige, athletische nordische Influencerin mit blonden Haaren und blauen Augen, bekleidet mit einem schwarzen Wonderbra und V-String sowie schwarzen HighHeels. IhreHaut hat einen sonnengeküssten Glanz mit sichtbarem SubsurfaceScattering durch die Bühnenhitze, und sie weist realistische biologische Details wie Pfirsichflaum auf den Wangen und sichtbare Iris-Details auf. Das mittlere Panel zeigt sie beim Zwinkern mit einem Peace-Zeichen über einem Auge, während das untere Panel sie beim GeheninHighHeels einfängt. DieKomposition nutzt eine Ich-Perspektive mit Drittel-Regelin jedem Panel und asymmetrischer Balance. DieFarbe ist bei Konfetti mit Magenta- und Cyan-Akzenten selektiv verstärkt. DerGesamteindruck soll sich wie ein authentischer Konzertabend anfühlen, ohne Studiobeleuchtung, Vintage-Filmkorn oder übermäßig polierte Looks.
Ein extrem detaillierter JSON-Prompt für Nano Banana Pro zur Generierung einer vertikalen Multi-Panel-Collage, die einen 'Vsco-Style Photo Dump' von einem Konzert simuliert, inklusive spezifischer Kameraeinstellungen (iPhone 17 Pro Max Simulation), Lichteffekten (Stroboskoplicht, Lens Bloom) sowie detaillierten Beschreibungen von Anatomie und Make-up.
A highly specific prompt designed to generate an ultra-photorealistic image of Madelyn Cline hydrating after a tennis match. It focuses on post-workout realism, including perspiration, damp clothing clinging to the body, golden hour lighting, and a candid, confident pose, shot on an iPhone 15 Pro Max in a vertical 9:16 format.
A complex JSON prompt designed to generate a 2x2 grid collage of ultra-wide angle selfies in the style of a Gen Z candid social media dump, featuring a subject resembling Sydney Sweeney. The prompt meticulously details the image structure, global style settings (0.5x lens, high-angle distortion, chaotic fairy aesthetic), subject details (outfit, makeup, accessories), and specific expressions and poses for each of the four panels (tongue out, duck face, winking).
A highly detailed JSON prompt for Nano Banana Pro to generate a 2x2 grid collage of Sydney Sweeney selfies using an ultra-wide angle lens (0.5x / fisheye effect), capturing a Gen Z candid social media dump aesthetic with specific expressions and a lime green sequin dress.
A highly technical prompt for Gemini Nano Banana Pro designed to simulate a raw, high-contrast gym mirror selfie taken with an ultra-wide-angle iPhone 17 Pro lens. It mandates extreme bio-fidelity, sharp focus across all planes (no bokeh), aggressive anatomical tapering, and realistic textural details on clothing and skin, aiming for an unedited social media dump aesthetic.
A highly detailed image generation prompt designed to create an extremely realistic, raw, high-contrast mirror selfie. It specifies strict identity locking, bio-fidelity for skin textures (TrueLens physics), precise outfit material realism (vacuum-tight jersey knit), and environmental details like realistic mirror imperfections and a sharp background, aiming for an unedited social media dump aesthetic.
Generate a 9-image grid ‘photo dump’ of a person’s weekend including mirror selfie, café, friends at dinner, party, walking, work shot, pet, sunset, and candid laughing moments.
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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.
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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