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Делаем ИИ-сканнер продуктов — один промт для Nano Banana 2.
Кадр из ближайшего будущего: вы берёте товар в супермаркете — и перед глазами появляется интерфейс, который выводит данные о составе и пищевой ценности.
Чтобы повторить кадр, скопируйте промт ниже, вставьте в Nano Banana 2 или Pro и замените «отдел» и «продукт» на свои. Название продукта указывайте полностью, с брендом и весом.
Promt:
Ultra-realistic cinematic POV shot inside a modern supermarket aisle in the [УКАЖИТЕ ТИП ОТДЕЛА]. Department signage is outside the frame.
First-person perspective: the viewer is holding a [КОНКРЕТНЫЙ ПРОДУКТ И БРЕНД, НАПРИМЕР: COCA-COLA 0.5L / PROTEIN BAR 60G / ГРЕЧЕСКИЙ ЙОГУРТ 2% 150Г] with both hands. The front of the packaging is clearly visible. The nutrition facts label is NOT visible in the frame.
The product is centered in frame, sharp focus, highly detailed texture (glass, plastic, metallic, cardboard — depending on product type), realistic reflections and natural material behavior. Background: supermarket shelves softly blurred with shallow depth of field. Natural commercial lighting with subtle ambient bounce light. On the right side of the frame, generate a futuristic semi-transparent holographic AI interface. The AI interface is NOT reading the visible packaging text. Instead, it performs product recognition and retrieves the OFFICIAL standardized nutritional data for this exact commercial product from a global food database. All interface text MUST be displayed in Russian. Include subtle system messages in Russian: «Продукт распознан», «Подключение к базе данных питания…», «Официальные данные получены». The HUD dynamically displays standardized nutritional information for this specific product:
• Калории (на порцию или на единицу)
• Общий жир
• Насыщенные жиры (если применимо)
• Углеводы
• Сахара
• Белки (если применимо)
• Натрий
• Ключевые активные компоненты (если применимо)
• Состав (стандартная формула продукта)
• AI-оценка полезности
The displayed values must reflect realistic commercial nutritional data for this specific product type and must not be random or estimated. Add a subtle scanning recognition animation at the beginning, followed by clean, structured data visualization panels. HUD style: Apple Vision Pro inspired, transparent glass UI, soft blue glow, minimal modern typography, subtle depth and parallax layers. Lighting: premium commercial realism, natural skin tones, subtle rim light on product edges. Lens: 35mm realistic lens simulation, f/2.8 shallow depth of field Color grading: clean, high dynamic range, slightly cool commercial tone Ultra photorealistic, 8K detail Natural hands, no deformities Aspect ratio 4:5.
Lifehack: чем известнее бренд (Coca-Cola, Lays, Danone), тем выше шанс получить реалистичные показатели без глюков.
В статье представлено сравнение различных нейронных сетей на основе их способности генерировать сложные фотосессии. Обсуждаются результаты и выводы для каждого сервиса.
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