en utilisant les photos de référence jointes comme sources, préservez le même visage masculin et les mêmes coiffures que sur la référence de visage, ainsi que les mêmes tenues que sur les références de vêtements. créez un collage de séance photo studio photoréaliste en noir et blanc, disposé dans une grille 2x2 épurée avec un fin espacement blanc entre les cadres. fond de studio gris neutre sans couture, éclairage de mode diffus et doux avec des ombres légères. cadre 1 : portrait à mi-corps, homme portant un t-shirt simple à manches retroussées, une main touchant légèrement le menton, regard intense dirigé vers l'appareil photo, épaules détendues. cadre 2 : pose debout aux trois-quarts dans le même t-shirt, corps légèrement incliné sur le côté, une main près de la bouche dans un geste pensif, posture décontractée. cadre 3 : plan moyen en veste en jean, corps partiellement détourné, une main tenant le col ou l'épaule de la veste, regard confiant vers l'appareil photo. cadre 4 : portrait serré en veste en jean, doigts reposant près des lèvres et de l'arête du nez, expression éditoriale de mode. texture de peau naturelle, plis de tissu et texture du jean réalistes, détails de cheveux nets. conversion monochrome à fort contraste, photographie de mode cinématographique, rendu d'objectif 85mm, f/2.8. pas de texte, pas de filigrane
Profil / Avatar - Collage de mode en noir et blanc avec préservation du visage
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Un prompt détaillé pour Google Gemini Nano Banana Pro afin de créer un collage photoréaliste 2x2 en noir et blanc d'un mannequin homme, nécessitant la préservation du visage et des tenues à partir des images de référence jointes, en mettant l'accent sur un style de photographie de mode à fort contraste.
A detailed JSON prompt for generating a 3x3 grid collage of black and white studio portraits of a male subject, focusing on varied expressions and poses (like smirking, pointing, and mock pain) while maintaining consistent styling, high contrast, and a fashion/editorial aesthetic.
A detailed prompt for generating a vertical high-fashion studio photo collage featuring 6-8 different poses of the same woman. It strictly requires using an uploaded face image for identity preservation and specifies the outfit (black mini dress, sheer thigh-high stockings, black blazer), lighting (soft high-key), and aesthetic (clean white seamless background, professional editorial style).
A complex, structured JSON prompt for Gemini Nano Banana Pro designed for generating a 2x2 collage of a female subject, requiring strict preservation of facial identity, pose, camera angle, and expression based on an uploaded reference image. It details specific views (front, back, mirror selfie, side portrait) and environment settings (vintage-style indoor room) while locking the subject's identity and matching the reference image exactly.
A prompt designed to create a dreamy, Pinterest-style scrapbook collage featuring the same person in five different angles and poses. It emphasizes preserving the exact facial identity from a reference image and adding cute pastel scrapbook elements like stickers and doodles on a white grid notebook background.
A JSON prompt for generating a 3x3 grid collage of aesthetic portraits captured during golden hour. It requires strict facial identity preservation across all frames, featuring varied poses (looking upward, side profile, hand in hair) and soft lighting with window shadow patterns for an intimate, Instagram aesthetic.
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).
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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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