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

範例提示詞
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

常見問題

關於landscape style提示詞,你想知道的一切

如何使用這個landscape style提示詞?

只需點擊上面的「AI生成」按鈕,即可跳轉到我們的AI圖像生成器,並且這個Landscape Style提示詞已自動填好。你可以進一步自訂或直接生成圖像。我們的AI會解讀提示詞,並根據你的描述創建出令人驚嘆的landscape視覺效果。

我可以根據特定需求修改這個提示詞嗎?

當然可以!隨意複製並定製這個提示詞,以實現你的創作構想。對於landscape藝術作品,嘗試添加風格、光線、構圖或情緒等細節。你的描述越具體,AI就越能理解你的創意。瀏覽我們的landscape提示詞合集,學習更多技巧。

哪些AI模型最適合生成landscape style圖像?

這個landscape提示詞適用於大多數現代AI圖像生成器,包括Nano Banana、Flux和GPT-Image。不同的模型各有專長——Nano Banana擅長landscape風格,而Flux則能生成逼真的照片級效果。

怎樣才算是一個好的landscape style提示詞?

優秀的landscape提示詞通常包含:具體的主題細節、藝術風格參考、光線條件(如柔光、戲劇性陰影)、色彩搭配、情緒/氛圍以及技術規格(如4K、細節豐富、高清)。研究我們的範例提示詞,可以學到有效的模式。

這個提示詞可以免費使用嗎?

是的!我們庫中的所有提示詞,無論是個人還是商業用途,都完全免費。你可以隨意複製、修改,並創作出色的landscape藝術作品,沒有限制。

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