3D Medical Anatomy Model Render Prompt
{ "fixed_prompt_components": { "composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical…
Prompt
{
"fixed_prompt_components": {
"composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical portrait framing, centered and symmetrical stance",
"background": "Isolated on a seamless pure white background, studio backdrop, clean white environment",
"art_style": "Photorealistic 3D medical render, ZBrush digital sculpture style, scientific anatomy model aesthetics",
"texture_and_material": "Monochromatic silver-grey skin with brushed metal texture, micro-surface details, highly detailed muscle striation, matte finish",
"lighting_and_tech": "Cinematic rim lighting, global illumination, raytracing, ambient occlusion, 8k resolution, UHD, sharp focus, hyper-detailed"
},
"variables": {
"gender": "${gender:male}",
"view_angle": "${view_angle:Front view}",
"target_muscle_group": "${target_muscle_group:Pectoralis Major (Chest)}",
"highlight_color": "${highlight_color:glowing cyan blue}"
},
"negative_prompt": "text, infographic, chart, diagram, labels, arrows, UI, cropped image, close-up, macro shot, headshot, cut off feet, cut off head, partial body, grey background, gradient background, shadows on floor, blurry, low resolution, distortion, watermark"
}How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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