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Mechanical Part Render to Technical Drawing Converter

{ "task": "image_to_image", "description": "Convert a 3D mechanical part render into a fully dimensioned manufacturing drawing", "inpu…

Role-Based

Prompt

{
  "task": "image_to_image",
  "description": "Convert a 3D mechanical part render into a fully dimensioned manufacturing drawing",
  "input_image": "3d_render_of_pipe_or_mechanical_part.png",
  "prompt": "mechanical engineering drawing, multi-view orthographic projection, front view, top view, side view and section view, fully dimensioned technical drawing, precise numeric measurements in millimeters, diameter symbols, radius annotations, hole count notation, center lines, section hatching, consistent line weights, ISO mechanical drafting standard, black ink on white background, manufacturing-ready documentation",
  "negative_prompt": "artistic style, perspective view, soft shading, textures, realistic lighting, colors, decorative rendering, sketch, hand-drawn look, incomplete dimensions",
  "settings": {
    "model": "sdxl",
    "sampler": "DPM++ 2M Karras",
    "steps": 40,
    "cfg_scale": 6,
    "denoising_strength": 0.5,
    "resolution": {
      "width": 1024,
      "height": 1024
    }
  },
  "output_expectation": "ISO-style mechanical drawing with clear dimensions suitable for CNC, casting, or fabrication reference"
}
,FALSE,STRUCTURED,senoldak

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.

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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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