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이 {argument name="dish_en"default="ramen"}을 손으로 그린 빈티지 요리책 스타일의 귀여운 레시피 페이지로 바꿔주세요. 메인 요리 주변에는 라벨, 계량, 그리고 그릇, 거품기, 숟가락 같은 도구들을 포함하여 신중하게 그린 재료들을 배치합니다. 아늑하고 향수를 불러일으키는 느낌을 주기 위해 질감 있는 음영, 따뜻한 파스텔 색상, 그리고 섬세한 잉크 같은 윤곽선을 사용합니다. 손글씨 스타일의 레시피 텍스트를 추가하고, 재료와 조리법을 레이아웃에 자연스럽게 통합합니다. 다채로운 일러스트레이션과 고전적인 요리책 미학을 결합하여 페이지가 예술적이면서도 교육적인 느낌을 주도록 만드세요.
빈티지 요리책 스타일 레시피 일러스트
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음식 사진을 손으로 그린 빈티지 요리책 레시피 페이지로 바꾸는 프롬프트입니다. 재료 라벨과 손글씨 텍스트가 포함되어 있어 아늑한 음식 콘텐츠에 좋습니다.
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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