Creative & Misc

美食地图:鸡肉培根菜式全球溯源

EN: Culinary Atlas: Chicken & Bacon Dishes, Global Food History

作者 Gadgetify

美食地图:鸡肉培根菜式全球溯源

中文摘要

对比 ChatGPT Image 2.0、Nano Banana Pro 与 GPT Image 1.5 在美食推荐提示上的表现。输入食材(如 Chicken, Bacon),系统分析后选出4个使用这些食材的代表性国家,并生成“美食地图”网格,展示四种不同文化对该食材的演绎。

完整 Prompt (英文, 复制带去 Studio 用)

ChatGPT Image 2.0 & Nano Banana Pro vs. GPT Image 1.5 for my food recommendation prompt. Just give it a couple of ingredients.
<instruction>
Inputs: Ingredients = [User Choice, e.g., Chicken, Bacon]
Step 1: Global Analysis
Analyze the ingredients.
Select 4 Distinct Countries with a famous dish using these ingredients
Goal: A "Culinary Atlas" Grid showing 4 different cultural variations of the ingredients.
Layout Rule:
Output Format: A 2x2 Grid.
Content per Panel: Each of the 4 panels must show a Single Open Book Spread for that specific country.
Inside Each Panel (The Book Spread Rule):
Left Page (The History): 2D Vintage Sepia Sketches. A visual timeline or illustrated recipe of the dish (e.g., "1850 -> 1920 -> Today"). Flat, ink-drawn style.
Right Page (The Reality): 3D Pop-up Diorama. The finished, steaming meal emerges physically from the page. A tiny miniature chef from that country is standing on the page next to the massive food.
Consistency: All 4 books should look like part of the same series, but with different cultural contents.
Lighting: Cinematic top-down lighting, highlighting the depth difference between the flat left page and the 3D right page.
Output: 2x2 Grid, High Definition, Macro Detail.
</instruction>
美食地图:鸡肉培根菜式全球溯源 | NeXra AI