Floor plan rendering
Skill SamurAIGPT/Generative-Media-Skills/library/visual/floor-plan-rendering
Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.
npx -y skills add SamurAIGPT/Generative-Media-Skills --skill floor-plan-renderingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.
SKILL.md
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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:
- 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
- Prompt:
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:
- 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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.