Encyclopedia of Flavor Diorama Generator

A highly complex, multi-step instructional prompt for generating a wide-angle 3D diorama of an 'Encyclopedia of Flavor' based on a cuisine input. The prompt requires the AI to procedurally transform the pages of an open atlas into a landscape made of food

示例提示词
Input Variable: [{argument name="cuisine or dish" default="INSERT CUISINE OR DISH"}] (e.g., Persian Kebabs, Japanese Sushi, Italian Pasta, Mexican Tacos) System Instruction: Generate a hyper-realistic, wide-angle (16:9) 3D diorama of an "Encyclopedia of Flavor." Use the following logic to procedurally generate the scene: 1. Flavor Profiling: Analyze the Input: Determine the Region , Staple Ingredients , and Cooking Method . (e.g., Kebab = Fire/Coal, Rice, Meat. Sushi = Water, Fish, Rice). The Terrain: The pages of the book must physically transform into the landscape of the cuisine. Grain: Rice or Couscous forms dunes. Liquid: Sauces or Broths form rivers. Solid: Bread or Meat forms mountains/cliffs. 2. Container (The Wide Atlas): The Object: A massive, horizontal Landscape-Format Atlas lying open on an aged wooden banquet table. The Spine: Runs horizontally through the center, acting as the "Equator" or "Main Road" of the scene. The Paper: Parchment texture. The edges of the pages are tattered and stained with spices (Saffron, Paprika, Turmeric). 3. Panoramic Composition (Left to Right Flow): CRITICAL: Do not place distinct plates. Create a continuous flow across the open spread. Left Side (The Origin - Agriculture): The raw ingredients grow out of the paper. (e.g., Wheat stalks rising from the text; Cattle grazing on parsley fields; Fishermen casting nets into ink-blue water). Center (The Process - The Kitchen): The spine is the cooking zone. (e.g., A miniature Tandoor oven or Grill built into the book binding; Steam rising volumetrically). Right Side (The Result - The Feast): The finished dish explodes in scale. (e.g., A mountain of Saffron Rice topped with the Kebab; A Ziggurat of Sushi). 4. The Micro-Population The Figures: 1:87 Scale (HO Scale) figures populate the landscape. The Action: They are working the food. Harvesting: Picking herbs from the margins. Transporting: Carrying giant peppercorns like boulders. Cooking: Using flamethrowers to char the meat or rakes to fluff the rice. 5. Lighting & Atmosphere: Aspect Ratio: 16:9 Horizontal. Lighting: "Golden Hour" side-lighting. It should skim across the texture of the food and the paper grain, emphasizing the "Landscape" feel. Steam: Volumetric steam connects the three zones (Left, Center, Right). Output: ONE image, 16:9 Aspect Ratio, Macro Diorama Photography, Octane Render, High Texture Fidelity.
AI生成
AI模型
Nano-banana-pro
作者

常见问题

关于landscape style提示词,你想知道的一切

如何使用这个landscape style提示词?

只需点击上面的“AI生成”按钮,即可跳转到我们的AI图像生成器,并且这个Landscape Style提示词已自动填好。你可以进一步自定义或直接生成图像。我们的AI会解读提示词,并根据你的描述创建出令人惊叹的landscape视觉效果。

我可以根据特定需求修改这个提示词吗?

当然可以!随意复制并定制这个提示词,以实现你的创作构想。对于landscape艺术作品,尝试添加风格、光照、构图或情绪等细节。你的描述越具体,AI就越能理解你的创意。浏览我们的landscape提示词合集,学习更多技巧。

哪些AI模型最适合生成landscape style图像?

这个landscape提示词适用于大多数现代AI图像生成器,包括Nano Banana、Flux和GPT-Image。不同的模型各有专长——Nano Banana擅长landscape风格,而Flux则能生成逼真的照片级效果。

怎样才算是一个好的landscape style提示词?

优秀的landscape提示词通常包含:具体的主题细节、艺术风格参考、光照条件(如柔光、戏剧性阴影)、色彩搭配、情绪/氛围以及技术规格(如4K、细节丰富、高清)。研究我们的示例提示词,可以学到有效的模式。

这个提示词可以免费使用吗?

是的!我们库中的所有提示词,无论是个人还是商业用途,都完全免费。你可以随意复制、修改,并创作出色的landscape艺术作品,没有任何限制。

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