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Veuillez créer une infographie de style bande dessinée basée sur le contenu fourni, en suivant ces directives :
Adoptez un style d'illustration dessiné à la main, avec une mise en page horizontale (format 16:9).
Ajoutez un petit nombre d'éléments de dessin animé simples, d'icônes ou de figures reconnaissables pour améliorer l'intérêt visuel et la mémorisation.
Si le contenu inclut des figures sensibles ou protégées par des droits d'auteur, remplacez-les par des alternatives visuellement similaires ; ne refusez pas de créer l'illustration.
Toutes les images et le texte doivent strictement adhérer au style dessiné à la main, en évitant les éléments visuels réalistes.
Les informations doivent être concises, mettant en évidence les mots-clés et les concepts fondamentaux. Utilisez amplement d'espace blanc pour souligner clairement les points clés.
Sauf indication contraire explicite, utilisez la même langue que le contenu fourni ou le chinois.
Veuillez utiliser nano banana pro pour créer l'image basée sur le contenu fourni ci-dessous.
<{argument name="content"default="Replace this entirely with the extracted AI comic production workflow text from the previous step"}>
Infographie / Visuel éducatif - Workflow de production de BD par IA et prompt d'infographie
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Cette entrée décrit un flux de travail en deux étapes pour l'apprentissage de sujets complexes (comme la production de bandes dessinées par IA) en utilisant d'abord un outil d'IA pour extraire une transcription complète et un résumé d'une vidéo, puis en utilisant Gemini Pro avec une invite spécifique pour générer une infographie visuellement attrayante, de style dessiné à la main, basée sur le texte extrait. L'invite est conçue pour la sortie Nano Banana Pro.
A structured prompt template for generating images that retell history using LEGO-style plastic construction blocks. It defines a workflow for creating a macro toy photograph of a minifigure version of an inventor ({argument name="inventor" default="[INSERT INVENTOR]"}) next to their greatest invention.
This is a versatile prompt designed to generate a clean, top-to-bottom exploded breakdown image of any uploaded product or object, such as food, watches, or general products. It is intended to be part of a workflow that later uses the generated image and the original product image to create an 'Assemble → Exploded → Assemble' video using tools like Kling O1.
A user describes their workflow for creating high-quality Nanobanana prompts using a custom tool. The process involves defining the subject (e.g., polar bear and panda on skates), generating the initial image, performing detailed annotation (labeling parts like pose, background, face, clothing) based on file names, and finally adding compositional and color information for the final generation. This highlights the importance of detailed language specification for effective prompting.
A brief prompt requirement for generating a 3x3 storyboard grid using a custom prompt workflow with movie-genre guidance, specifying that the output must be exported and polished at 4K resolution.
An instruction for using Nano Banana to maintain facial and clothing consistency across multiple shots (jump cuts) by uploading source images for the face and the scene (like a staircase shot). This is a workflow instruction that functions as a prompt.
Describes a 2-step workflow, where step 1 is to use Nano Banana Pro to turn a hand-drawn image into a cartoon character; this is effectively a short high-level prompt.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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