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
- 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}.
- Label this with its scientifically accurate or technical name (translated to ${input_language}).
- The dissected layers must be arranged in a strict Anatomical/Technical Chart format (left to right progression).
- The anatomical/structural text labels (in ${input_language}) must float cleanly above or beside their respective layers.
- Glowing Magenta Scan Lines must connect the dissected parts.
- Label these lines as "Scanner" or "MRI-scan" (translated to ${input_language}).
- Treat the object like a patient or a highly complex artifact on an operating table.
- Include scale-appropriate tools (e.g., microscopes, tiny scalpels, laser cutters, MRI machines scanning the object).
- The figures must be actively analyzing and diagnosing.
- Material Accuracy: Photorealistic rendering of the object's ACTUAL materials.
- Cast soft and even shadows.
- 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.
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