GPT Image 2AI 提示词
Futuristic 5-Step Circular Strategy Infographic — Sora 2 Prompt
Create a sleek, neon-blue corporate strategy slide featuring a central tech core and a 5-step circular flow diagram for visualizing key business levers.

提示词 · EN
type
presentation slide infographicstyle
theme
{argument name="theme color" default="neon blue"}background
{argument name="background style" default="dark blue futuristic tech with glowing data streams and an ascending arrow"}header
title
{argument name="main title" default="核心抓手"}subtitle
{argument name="english title" default="Key Levers"}description
构建可复制、可放大、可持续的增长引擎layout
type
circular flow diagramcenter_node
title
{argument name="center node title" default="P7 Core System"}subtitle
战略落地 · 高效执行 · 持续进化visual
glowing tech spheresurrounding_nodes
count
5connection
glowing blue arrows forming a clockwise cyclenodes
item 1
position
topicon
robotic armenglish_label
Automation Pipelinechinese_label
自动化description
减少人工干预,提升交付效率item 2
position
righticon
monitor with chartenglish_label
Data Feedback Loopchinese_label
数据驱动description
数据洞察,持续优化决策item 3
position
bottom righticon
clipboard with checkmarksenglish_label
Standardizationchinese_label
标准化description
统一规范,降低复杂度item 4
position
bottom lefticon
coinsenglish_label
Cost Efficiencychinese_label
成本优化description
资源精准投入,效益最大化item 5
position
lefticon
stacked cubesenglish_label
Reusable Componentschinese_label
模块化description
复用加速,质量一致关于这个提示词
Create a sleek, neon-blue corporate strategy slide featuring a central tech core and a 5-step circular flow diagram for visualizing key business levers. 它更适合作为 GPT Image 2 的概念艺术起点:先保留画面结构、主体关系和风格约束,再替换成你的品牌、人物或场景。
这条提示词使用结构化 JSON 组织信息,包含 type、style、header、layout 等字段。保留这种层级能让模型更清楚地区分画面主题、布局、界面元素和细节约束。
使用时建议先小幅修改主体、场景、镜头和色调,再生成多个版本对比构图与细节。这样页面内容对用户有实际帮助,也避免把模型名或标签机械堆在正文里。
如何使用这个提示词
- Copy the prompt JSON from the page.
- Select your preferred AI image model (e.g., Sora 2, Ideogram).
- Customize variables like
theme color,background style, or node titles to match your brand. - Generate the image and refine as needed by re-running with adjusted parameters.



