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Technical Machine Knolling Teardown preview image
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Technical Machine Knolling Teardown

A highly detailed technical prompt for generating clean, top-down orthographic teardowns of complex machinery with organized parts.

Dette er et GPT Image 2 -eksempel på en prompt for Illustration og kunst . Brug den kopieringsklare prompt nedenfor til at generere lignende visuelle elementer, og gennemgå Awesome GPT Image 2 Prompts -kreditering samt kommercielle brugsrettigheder før genbrug.

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2x2 grid, 16:9, do this for {argument name="machines" default="4 complex machines, like CyberTruck, F35 plane, Reaper Drone, James Webb Telescope"}     Knolling teardown — {argument name="subject" default="{SUBJECT}"} ({argument name="category" default="{SUBJECT_TYPE}"}), top-down orthographic.  PARTS — complete bill of materials, show each exactly once: {argument name="parts" default="{PARTS — list every part with quantity}"}  LAYOUT - clean rectilinear grid; every part aligned to horizontal and vertical axes - grouped by subassembly — a subassembly's parts stay adjacent as one cluster - each group anchored by its largest structural part; fasteners cluster beside   the part they secure - even spacing, no overlapping parts, no diagonal scatter - consistent scale across every part  DEPICTION — keep it truthful - every fastener sits near a matching mounting hole; screw count = hole count - every gasket or seal shown with the perimeter it seals against - no duplicated or phantom parts - preserve each part's true orientation and handedness; do not mirror chiral parts  RENDER - orthographic projection, no perspective, all parts in sharp focus - flat, even, diffuse lighting; minimal soft shadow - neutral seamless background

Promptvariabler

Redigerbare argumentpladsholdere fundet i prompten med deres standardværdier.

4
Variabel
machines
Misligholdelse
4 complex machines, like CyberTruck, F35 plane, Reaper Drone, James Webb Telescope
Variabel
subject
Misligholdelse
{SUBJECT}
Variabel
category
Misligholdelse
{SUBJECT_TYPE}
Variabel
parts
Misligholdelse
{PARTS — list every part with quantity}

Best for

  • - Illustration og kunst visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Tekst til billede
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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  2. 2.Juster variabler, billedformat og referencebilleder til din egen brug.
  3. 3.Før udgivelse eller betalt brug skal du verificere kilderettigheder, krav til kreditering og risici forbundet med branding eller lighed.
Technical Machine Knolling Teardown for GPT Image 2 | Image Prompt Gallery