muapi-floor-plan-rendering

# 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` --- ## 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.