信息图表 / PROMPT
信息图可视化设计
从公开案例收录的信息图表提示词,适合参考其画面结构、风格控制和细节描述。
适用模型GPT Image 2
已实测灵感来源于 awesome-gpt-image-2 案例 70;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。
完整提示词COPY / USE
{
"type": "technical infographic",
"subject": "{argument name=\"subject matter\" default=\"digital photography process\"}",
"header": {
"title": "{argument name=\"main title\" default=\"一张照片诞生的因果链 THE CAUSAL CHAIN OF A PHOTOGRAPH\"}",
"subtitle": "从世界,到图像 FROM WORLD TO IMAGE"
},
"centerpiece": {
"description": "Exploded isometric view of a modern mirrorless camera",
"model": "{argument name=\"camera model\" default=\"Canon EOS R5\"}",
"labeled_parts_count": 12,
"labeled_parts": [
"EVF",
"Body Structure",
"Control Dials",
"Thermal Design",
"Optical Axis",
"IBIS Stabilizer",
"Shutter Unit",
"Full-Frame Sensor",
"{argument name=\"processor name\" default=\"DIGIC X Processor\"}",
"Main PCB",
"High-Speed Bus",
"Card Slot"
]
},
"layout": {
"left_column": {
"description": "Chronological causal chain",
"count": 13,
"steps": [
"01 REALITY EXISTS",
"02 PHOTONS LEAVE THE WORLD",
"03 LENS ACCEPTS & BENDS LIGHT",
"04 APERTURE SELECTS",
"05 SHUTTER CUTS TIME",
"06 FOCUS SETS PRIORITY",
"07 SENSOR RECEIVES EVENT",
"08 LIGHT BECOMES CHARGE",
"09 ANALOG READOUT",
"10 A/D CONVERSION",
"11 COMPUTATION RECONSTRUCTS",
"12 IMAGE APPEARS",
"13 MEMORY OUTLIVES"
]
},
"right_column": {
"title": "八大模块 / 8 MODULES",
"count": 8,
"modules": [
"1 ORIGIN OF LIGHT",
"2 LENS SHAPES REALITY",
"3 APERTURE & SHUTTER EDIT THE WORLD",
"4 FOCUS DECIDES CLARITY",
"5 SENSOR MEASURES LIGHT",
"6 SIGNAL BORN & AMPLIFIED",
"7 COMPUTATION BUILDS IMAGE",
"8 FILE BECOMES MEMORY"
]
},
"side_diagrams": {
"count": 7,
"descriptions": [
"Ray cone & image formation",
"Aperture & depth of field",
"Shutter & motion",
"Focal plane & clarity",
"Pixel structure",
"Photoelectric conversion",
"Analog signal waveform"
]
},
"footer": {
"count": 5,
"description": "Philosophical summary points"
}
},
"style": "technical, precise, wireframe elements, glowing data lines, photorealistic camera components, clean typography, dual-language"
}复制后,可参考下方“建议替换”项目改成你的主题;带【方括号】的内容请优先替换。
PROVENANCE / 来源与验证
它从哪里来,是否完成实测?
灵感来源于 awesome-gpt-image-2 案例 70;当前提示词与效果图由 Fastgoing 使用 GPT Image 2 实测重新制作。
GPT Image 2 · 2026-08-19 实测HOW TO USE
不用学提示词工程,也能改成自己的。
建议替换
01【讲解主题】02【信息模块】03【视觉层级】04【标注语言】使用小贴士
先只替换变量跑一次,观察最不符合预期的部分;第二轮只补充那一项约束,通常比一次塞进很多要求更稳定。
