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Transformez ce {argument name="dish_en"default="ramen"} en une jolie page de recette illustrée, dans le style d'un livre de cuisine vintage dessiné à la main. Entourez le plat principal d'ingrédients soigneusement dessinés, avec des étiquettes, des mesures et des ustensiles comme des bols, des fouets ou des cuillères. Pour créer une ambiance chaleureuse et nostalgique, utilisez des ombres texturées, des couleurs pastel chaudes et des contours fins, semblables à de l'encre. Ajoutez un texte de recette manuscrit, intégrant les ingrédients et les instructions de manière organique dans la mise en page. Assurez-vous que la page soit à la fois artistique et éducative, combinant des illustrations colorées avec une esthétique de livre de cuisine classique.
Illustration de recette de cuisine de style livre de recettes vintage
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Une invite pour transformer une photo de plat en une page de recette de livre de cuisine vintage dessinée à la main avec des ingrédients étiquetés et du texte manuscrit, idéale pour du contenu culinaire chaleureux.
A complex, multi-step prompt designed to turn Nano Banana Pro into a food recommendation system that takes ingredients (e.g., bacon and chicken) and generates a 2x2 grid of photorealistic images of lesser-known dishes from four random countries using those ingredients, styled as a vintage cookbook.
A reusable prompt template for generating a single image combining a vintage cookbook aesthetic with a 3D miniature food scene, specifically using Okonomiyaki as the default input. It focuses on detailed food textures, cooking implements, and warm, golden-hour kitchen lighting.
A customizable prompt template for generating a top-down flat lay image of food ingredients arranged in a radial burst pattern, designed to look like a luxury cookbook editorial or heritage restaurant poster, with technical annotations and a central plated dish.
A prompt for generating ultra-realistic cinematic food photography of a traditional dish (grape-leaf rolls soup with meatballs). It features ingredients floating above the dish in an organized layout, combined with subtle infographic lines and labels, styled for a premium cookbook or food-education aesthetic.
A detailed prompt for Nano Banana Pro to generate a weekly outfit coordination lookbook based on a reference image's style. It creates a 7-day fashion spread for a specified character and theme, ensuring consistency while showing seven different outfits. The output is a magazine-style layout with specific text labels for each day.
A set of three highly structured prompts for Nano Banana Pro designed to generate fashion lookbook images for 'Quiet Luxury' or 'Old Money' style office wear. Each prompt specifies the model (young Danish woman), color palette, material (linen blend), specific garment types, accessories, and a magazine layout composition with multiple views (seven-point shot, full body, details).
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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, 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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