muapi-floor-plan-rendering

SamurAIGPT/Generative-Media-Skills · Agent Skill

Generates realistic 3D architectural renderings from 2D floor plans, transforming descriptions into detailed visualizations.

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https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/floor-plan-rendering

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SKILL.md contents

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Floor Plan Rendering

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

Inputs

| Name | Type | Required | Default | Description |

|:---|:---|:---|:---|:---|

| floor_plan_description | text | yes | — | Description of the floor plan (e.g. "a modern 2-bedroom apartment with a balcony and open kitchen"). |

| base_plan_image | image_url | no | — | Optional 2D floor plan image to use as a starting point. |

Steps

Phase A — 2D Floor Plan Design

If {{base_plan_image}} 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 {{floor_plan_description}}. 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

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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 MUAPI_API_KEY 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/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.