Floor Plan Rendering

Estimated credits: ~120 per run.

Inputs

floor_plan_description

base_plan_image

Steps

Phase A — 2D Floor Plan Design

{{base_plan_image}}

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

Phase B — 3D Rendering

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

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

  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.