
Technical Machine Knolling Teardown
A highly detailed technical prompt for generating clean, top-down orthographic teardowns of complex machinery with organized parts.
This is a GPT Image 2 prompt case for Illustration & Art. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready prompt
2x2 网格,16:9,执行此操作:{argument name="machines" default="CyberTruck"} Knolling 拆解图 — {argument name="subject" default="{SUBJECT}"} ({argument name="category" default="{SUBJECT_TYPE}"}),俯视正投影。 零件 — 完整的物料清单,每个零件仅展示一次:{argument name="parts" default="{PARTS — 列出每个零件及其数量}"} 布局 — 整洁的直线网格;每个零件均与水平轴和垂直轴对齐 — 按子装配体分组 — 同一子装配体的零件保持相邻并聚集成簇 — 每个组以其最大的结构件为锚点;紧固件排列在它们所固定的零件旁边 — 间距均匀,无零件重叠,无对角线散乱 — 所有零件比例一致 描绘 — 保持真实性 — 每个紧固件都放置在匹配的安装孔附近;螺丝数量 = 孔数量 — 每个垫圈或密封件均显示其密封的周边 — 无重复或虚构零件 — 保留每个零件的真实方向和旋向;请勿镜像手性零件 渲染 — 正投影,无透视,所有零件清晰对焦 — 平坦、均匀的漫反射光;极小的柔和阴影 — 中性无缝背景Prompt variables
Editable argument placeholders found in the prompt, with their default values.
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- - Subject, product, character, or scene
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Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Text to Image
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How to use this prompt
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- - Generated output is an editable draft, not factual, legal, or rights evidence.
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