Mmcp.market

muapi-floor-plan-rendering skill

by SamurAIGPT·SamurAIGPT/Generative-Media-Skills·4.3k stars·MIT

Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.

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Install the muapi-floor-plan-rendering skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Generative-Media-Skills/library/visual/floor-plan-rendering ~/.claude/skills/muapi-floor-plan-rendering
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Floor Plan Rendering

Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.

Inputs

Steps

Phase A — 2D Floor Plan Design

If {{baseplanimage}} is not provided, submit the plan with ONE step to create the 2D blueprint:

  1. Floor Plan Generation — muapi image generate (model=nano-banana-2):
  • Prompt: A professional, clean 2D architectural floor plan of {{floorplandescription}}. Top-down view, technical drawing style, white background, black lines, labeled rooms (Living Room, Kitchen, Bedroom, etc.), high contrast, minimalist design.
  • Aspect ratio: 4:3 or 1:1

Present the 2D plan to the user for approval.

Phase B — 3D Rendering

Once the 2D plan is ready, submit the plan to convert it into a realistic 3D visualization:

  1. 3D Conversion — muapi image edit (model=nano-banana-2-edit):
  • Reference Image: The 2D plan from Phase A.
  • Prompt: A stunning, realistic 3D isometric cutaway rendering of the architectural floor plan. Photorealistic textures, warm wooden flooring, modern furniture, soft natural sunlight coming from windows, realistic shadows. High-end architectural visualization, cinematic look, 8k resolution, clean white studio background.
  • Aspect ratio: 4:3 or 1:1

After generation, present the final 3D rendering to the user.

Trigger Keywords

3d floor plan, architectural rendering, 2d to 3d plan, house design, interior plan

Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPIAPIKEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/ -H "x-api-key: $MUAPIAPIKEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

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