16:9，为一款鲜为人知的、令人垂涎的德州美食制作此图。请针对[食物 / 菜肴 / 餐点 / 零食 / 饮品 / 基于食材的烹饪项目]…

16:9, do it for a much lesser known texan food to die for Do this for [Food / Dish / Meal / Snack / Beverage / Ingredient-Based Culinary Item]: 1. The Semantic Inference Engine (The Culinary Anatomy Board): Input A is a food item, prepared dish, snack, beverage, or edible composition. Analyze Input A and infer 6 Structural Components: The Central Hero Form: determine the most recognizable full assembled form of Input A as the centerpiece. The Core Ingredients: identify the 4–8 major components that define Input A’s structure, flavor, and identity. The Functional Roles: for each component, infer its culinary role — base, filling, binder, garnish, sauce, seasoning, texture layer, aromatic element, structural shell, etc. The Visual Breakdown: determine how each component should be separately represented — whole ingredient, chopped form, bowl of prepared component, sauce sample, leaf, grain cluster, powder, slice, or texture sample. The Analytical Metrics: infer 1–2 simple explainer charts or diagrams per component, such as flavor profile, texture intensity, heat level, crunch factor, acidity balance, sweetness, richness, freshness, or aroma spectrum. The Scientific Overlay: generate plausible educational-style labels such as simplified chemistry notation, structural classification, ingredient family, preparation type, or culinary property markers — visually credible, not hardcoded. 2. The Immutable Container (The Clean Educational Poster): Goal: a modern food anatomy infographic board. white framed poster or mounted display board ultra-clean background central assembled food item in the middle surrounding ingredient callout boxes distributed symmetrically around the hero object thin connecting lines from each ingredient panel to the relevant part of the central food 3. The Poster Construction (Centerpiece + Callout System): Build the poster as a structured educational layout: a large bold title at the top generated from Input A in the format of an anatomy / breakdown / composition study one central high-quality rendered image of Input A 4–8 surrounding ingredient boxes, each containing: a clean visual of one inferred component the component name one short scientific / pseudo-technical notation line one or two small chart graphics or profile diagrams color-code the component boxes subtly according to ingredient category if appropriate 4. No Hardcoding Constraint: Do not assume taco ingredients, sandwich ingredients, or any fixed food structure. Instead: if Input A is layered, infer layers if Input A is wrapped, infer shell + filling system if Input A is plated, infer sauce + protein + garnish + base if Input A is a beverage, infer liquid phases, toppings, foam, ice, aromatics, or inclusions if Input A is a dessert, infer crust, filling, glaze, texture contrast, decoration, and flavor accents if Input A is simple, infer fewer but more essential components The infographic must be generated from the variable food item itself. 5. Educational Graphic Style: The board should feel like a hybrid of: culinary science poster museum food explainer modern menu lab graphic clean commercial infographic Use: bold sans-serif typography neat line connectors minimalist charts clean color accents organized spacing and strong readability 6. Visual Syntax & Atmosphere: Camera: straight-on poster view, orthographic or near-orthographic Lighting: bright, soft, shadow-controlled studio lighting Background: clean tiled wall, neutral interior, or pure white presentation space Detail: premium food-render realism in the central item and ingredient samples Aesthetic: educational, appetizing, precise, modern, and visually balanced 7. Output Constraint: The final image should work for any Input A: tacos ramen croissants burgers sushi salad bowls dumplings bubble tea pizza pastries curries sandwiches All labels, component choices, and charts must be inferred from the variable dish, with no hardcoded ingredient set. Output: ONE image, square aspect ratio, clean framed educational food anatomy poster for Input A, featuring a central hero dish, AI-inferred ingredient callout panels, minimalist data charts, labeled connectors, and no hardcoded subject details.

16:9，为一款鲜为人知的、令人垂涎的德州美食制作此图。请针对[食物 / 菜肴 / 餐点 / 零食 / 饮品 / 基于食材的烹饪项目]进行制作：1. 语义推理引擎（烹饪解剖图板）：输入A为一个食物项目、成品菜肴、零食、饮品或可食用组合。分析输入A并推断出6个结构组件：中央主角形态：确定输入A最具代表性的完整组装形态作为核心。核心食材：识别4–8种定义输入A结构、风味与身份的主要组成部分。功能角色：为每个组成部分推断其烹饪角色——基底、馅料、粘合剂、配菜、酱汁、调味、质地层、芳香元素、结构外壳等。视觉拆解：确定每个组成部分应如何单独呈现——完整食材、切碎形态、一碗预处理食材、酱汁样本、叶片、谷物簇、粉状、片状或质地样本。分析指标：为每个组成部分推断1–2个简明的解释图表或示意图，如风味剖面、质地强度、辣度、脆度、酸度平衡、甜度、浓郁度、新鲜度或香气谱。科学叠加：生成可信的教学风格标签，如简化的化学符号、结构分类、食材家族、制备类型或烹饪属性标记——视觉上可信，而非硬编码。2. 不可变容器（清洁的教学海报）：目标：现代食物解剖信息图板。白框海报或装裱展示板。超净背景。中央组装的食物项目位于中间。周围的食材标注框对称分布于主角对象周围。从每个食材面板到中央食物相应部分的细连接线。3. 海报构建（核心 + 标注系统）：将海报构建为结构化教学布局：顶部以解剖 / 分解 / 构成研究格式从输入A生成一个大胆粗体标题。中央放置一张输入A的高质量渲染图像。周围4–8个食材框，每个包含：一个推断组成部分的简洁视觉；组成部分名称；一行简短的科学 / 伪技术符号；一到两个小图表或剖面图；如有需要，根据食材类别对组成部分框进行微妙配色。4. 无硬编码约束：不要假设墨西哥卷饼食材、三明治食材或任何固定的食物结构。而是：如果输入A为分层结构，则推断各层；如果输入A为包裹结构，则推断外壳 + 馅料系统；如果输入A为摆盘菜肴，则推断酱汁 + 蛋白质 + 配菜 + 基底；如果输入A为饮品，则推断液相、配料、泡沫、冰块、芳香或内含物；如果输入A为甜点，则推断外壳、馅料、糖霜、质地对比、装饰与风味点缀；如果输入A为简单食品，则推断较少但更核心的组成部分。信息图必须由可变食物项目本身生成。5. 教学图形风格：图板应感觉像是以下风格的混合体：烹饪科学海报、博物馆食物解说、现代菜单实验室图形、清洁的商业信息图。使用：粗体无衬线字体；整齐的线条连接器；极简图表；简洁的色彩点缀；有组织的间距和强可读性。6. 视觉语法与氛围：相机：正对海报视图，正交或近正交。光照：明亮、柔和、受控阴影的影棚光。背景：干净的瓷砖墙、中性室内或纯白展示空间。细节：中央项目和食材样本的高级食物渲染真实感。美感：教学性、诱人、精确、现代且视觉平衡。7. 输出约束：最终图像应适用于任何输入A：墨西哥卷饼、拉面、可颂、汉堡、寿司、沙拉碗、饺子、珍珠奶茶、披萨、糕点、咖喱、三明治。所有标签、组成部分选择和图表必须从可变菜肴推断，不使用硬编码食材集。输出：一张图像，正方形宽高比，清洁装裱的输入A教学食物解剖海报，包含中央主角菜肴、AI推断的食材标注面板、极简数据图表、标注连接线，且无硬编码主题细节。