Skip to main content
Prompts Object Autopsy Cross-Section Diorama Generator

model image_generation template risk: low

Object Autopsy Cross-Section Diorama Generator

The prompt directs the model to generate one hyper-realistic, scientifically accurate image of a cross-section diorama dissecting the specified input object into three structural l…

PROMPT

Prompt:
${input_object}: (anything you want to be the subject)
${input_language}: English (any language you want)
---
System Instruction:
Generate a hyper-realistic, scientifically accurate "Autopsy" cross-section diorama based on the ${input_object} provided above. Use the following logic to procedurally dissect the object and populate the scene:
Semantic Analysis & Text Annotations:
Analyze the ${input_object} and determine its ACTUAL physical, biological, or mechanical structure. Break it down into 3 logical and realistic structural layers. ALL visible text labels, UI overlays, and diagram annotations in the image MUST be written in ${input_language}:
- Layer 1 (Outer Shell/Barrier): The outermost protective barrier, casing, or skin. Label this with its scientifically accurate or technical name (translated to ${input_language}).
- Layer 2 (Intermediate/Functional Layer): The secondary layer, internal mechanism, functional tissue, or core substance. Label this with its scientifically accurate or technical name (translated to ${input_language}).
- Layer 3 (Inner Core/Network): The innermost core, central structure, or internal transport network. Label this with its scientifically accurate or technical name (translated to ${input_language}).
Container:
- The Surface: A clean, white medical/engineering examination table with sterile blue paper lining.
Layout & Typography:
- The dissected layers must be arranged in a strict Anatomical/Technical Chart format (left to right progression). The external view on the far left, cross-sections in the center, magnified details on the right.
- Text Integration: The anatomical/structural text labels (in ${input_language}) must float cleanly above or beside their respective layers, looking like professional medical or engineering diagrams.
- The Connections: Glowing Magenta Scan Lines must connect the dissected parts. Label these lines as "Scanner" or "MRI-scan" (translated to ${input_language}).
The Micro-Narrative:
CRITICAL: The object is massive compared to the scientists/engineers. Treat the object like a patient or a highly complex artifact on an operating table.
- The Researchers: Dozens of tiny 1:87 Scale (HO Scale) Researchers in white lab coats, surgical masks, and magnifying headlamps.
- The Equipment: Include scale-appropriate tools (e.g., microscopes, tiny scalpels, laser cutters, MRI machines scanning the object).
- The Interaction: The figures must be actively analyzing and diagnosing (e.g., taking samples, consulting holographic charts displaying text in ${input_language}).
Visual Syntax & Material Physics:
- Material Accuracy: Photorealistic rendering of the object's ACTUAL materials (e.g., glistening moisture for organics, metallic reflections for machines, fibrous textures for woven items) contrasting with sterile medical/lab equipment.
- Shadows: Cast soft and even, indicating bright, surgical operating theater lighting.
Output:
ONE image, 1:1 Aspect Ratio, Macro Photography, "Gray's Anatomy" or Technical Blueprint Aesthetic, 8k Resolution.

INPUTS

input_object REQUIRED

anything you want to be the subject

e.g. smartphone

input_language REQUIRED

English (any language you want)

e.g. Spanish

REQUIRED CONTEXT

  • input_object
  • input_language

ROLES & RULES

  1. Analyze the ${input_object} and determine its ACTUAL physical, biological, or mechanical structure.
  2. Break it down into 3 logical and realistic structural layers.
  3. ALL visible text labels, UI overlays, and diagram annotations in the image MUST be written in ${input_language}.
  4. Label this with its scientifically accurate or technical name (translated to ${input_language}).
  5. The dissected layers must be arranged in a strict Anatomical/Technical Chart format (left to right progression).
  6. The anatomical/structural text labels (in ${input_language}) must float cleanly above or beside their respective layers.
  7. Glowing Magenta Scan Lines must connect the dissected parts.
  8. Label these lines as "Scanner" or "MRI-scan" (translated to ${input_language}).
  9. Treat the object like a patient or a highly complex artifact on an operating table.
  10. Include scale-appropriate tools (e.g., microscopes, tiny scalpels, laser cutters, MRI machines scanning the object).
  11. The figures must be actively analyzing and diagnosing.
  12. Material Accuracy: Photorealistic rendering of the object's ACTUAL materials.
  13. Cast soft and even shadows.
  14. Output: ONE image, 1:1 Aspect Ratio, Macro Photography, "Gray's Anatomy" or Technical Blueprint Aesthetic, 8k Resolution.

EXPECTED OUTPUT

Format
image_prompt
Constraints
  • ONE image
  • 1:1 Aspect Ratio
  • Macro Photography
  • "Gray's Anatomy" or Technical Blueprint Aesthetic
  • 8k Resolution

SUCCESS CRITERIA

  • Generate hyper-realistic, scientifically accurate autopsy cross-section diorama.
  • Populate scene with 3 structural layers and labels in specified language.
  • Arrange in anatomical chart format with researchers and equipment.
  • Ensure photorealistic materials and lighting.

FAILURE MODES

  • May inaccurately dissect abstract or non-physical objects.
  • Might use incorrect technical names or translations.
  • Could ignore scale differences between object and researchers.
  • Risk of non-photorealistic rendering.

CAVEATS

Dependencies
  • Requires ${input_object}
  • Requires ${input_language}
Missing context
  • Examples of ${input_object} with corresponding layer breakdowns.
  • Handling for abstract or non-physical ${input_object}s.
Ambiguities
  • Assumes every ${input_object} can be logically broken into exactly 3 structural layers without guidance for atypical cases.
  • Unclear exact translation process for technical terms into ${input_language} if not commonly known.

QUALITY

OVERALL
0.92
CLARITY
0.88
SPECIFICITY
0.94
REUSABILITY
0.95
COMPLETENESS
0.91

IMPROVEMENT SUGGESTIONS

  • Provide 1-2 examples of ${input_object} with sample layer labels to illustrate the breakdown process.
  • Add clause: 'Adapt layers logically if the object has fewer/more than 3; prioritize scientific accuracy.'
  • Specify: 'Use precise translations for technical terms; fallback to descriptive equivalents if exact term unavailable.'

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

MORE FOR MODEL