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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, ver…

Role-Based

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"
},FALSE,STRUCTURED,cem

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

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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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