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Turnthis {argument name="dish_en"default="ramen"} into a cute recipe page with illustrations in the style of a hand-drawn vintage cookbook. Surround the main dish with carefully drawn ingredients, including labels, measurements, and utensils like bowls, whisks, or spoons. To create a homey, nostalgic feeling, use textured shading, warm pastel colors, and fine, ink-like outlines. Add handwritten-style recipe text, integrating the ingredients and directions organically into the layout. Make sure the page feels both artistic and educational, combining colorful illustrations with a classic cookbook aesthetic.
Vintage cookbook-style recipe illustration
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A prompt for transforming a food photo into a hand-drawn vintage cookbook recipe page with labeled ingredients and handwritten text, great for cozy food content.
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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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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