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3D to 2D Floor Plan Converter

Convert a furnished 3D interior render into a detailed and precise 2D architectural floor plan. Ideal for real estate listings or construction documents, this tool offers a clean vector-style blueprint with clearly defined rooms and spaces.

g
@gunebak4n
about 6 hours agoOctober 30, 2026 at 03:53 PM
Image Generation•Interior DesignComputer Vision
1
3D to 2D Floor Plan Converter
Requires 1 image

Content

1{
2 "task": "image_to_image",
3 "description": "Convert a furnished 3D interior render into a clean 2D architectural floor plan drawing",
4 "input_image": "3d_render_of_apartment_interior.png",
5 "prompt": "top-down 2D architectural floor plan, black and white technical drawing, clean vector-style lines, precise wall thickness, clearly defined rooms, labeled spaces with room names and square meter areas, doors with swing arcs, windows shown as breaks in walls, minimal shading, no perspective, orthographic projection, architectural blueprint style, professional residential floor plan, similar to CAD drawing",
6 "negative_prompt": "3d perspective, isometric view, realistic lighting, shadows, textures, furniture rendering, people, depth, photorealism, colors, gradients, soft edges, artistic sketch, hand drawn style",
7 "settings": {
8 "model": "sdxl",
9 "sampler": "DPM++ 2M Karras",
10 "steps": 30,
11 "cfg_scale": 7,
12 "denoising_strength": 0.65,
13 "resolution": {
14 "width": 1024,
15 "height": 1024
16 }
17 },
18 "output_expectation": "flat 2D floor plan similar to architectural plan drawings, suitable for real estate listings or construction documents"
19}

Related Skills

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Works out how much paint to buy for one or more rooms and what it will cost. Measures walls (minus doors and windows) and ceilings, applies coats, coverage, texture and waste, adds up each paint across rooms, and picks the cheapest can mix with little left over. Flags dark-to-light changes and new plaster that need primer, one-coat plans, suspicious coverage or heights and big leftovers. Includes a stdlib Python estimator with --self-test.

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