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muapi-interior-design-visualizer

muapi-interior-design-visualizer

github.com/samuraigptDesign & UI25665 installsUpdated 4w ago
Repository

About muapi-interior-design-visualizer

A muapi skill for visualizing furnished interiors, either by generating an empty room first or using a supplied empty-room image. It then edits the base image to add furniture and decor in the chosen style.

Key features

  1. 01Generates an empty room when no base image is supplied
  2. 02Furnishes an empty-room image
  3. 03Accepts room type and design style
  4. 04Preserves the base image aspect ratio

Use cases

  1. 01Furnishing a generated empty room
  2. 02Previewing furniture and decor in a supplied room image
  3. 03Comparing interior styles by generating variations

MCP support

This is an LLM-orchestrated skill that directs an agent to call muapi CLI commands; it does not describe an MCP server or MCP-specific interface.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-interior-design-visualizer

After installing, type/muapi-interior-design-visualizerin Claude Code to confirm it loaded.

Details

From the project README

Interior Design Visualizer

Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room.

Inputs

NameTypeRequiredDefaultDescription
room_typetextnomodern living roomThe type of room to design (e.g. living room, bedroom, office).
design_styletextnocontemporary minimalistThe aesthetic style (e.g. Scandinavian, Industrial, Bohemian).
empty_room_imageimage_urlno—Optional image of an empty room to be used as a base.

Steps

Phase A — Room Setup

If {{empty_room_image}} is not provided, submit the plan with ONE step to generate an empty base room:

  1. Empty Room Generation — muapi image generate (model=gpt-image-2-text-to-image):
    • Prompt: A professional wide-angle photograph of a completely empty {{room_type}} with {{design_style}} architecture. Large windows with natural light, clean wooden or tiled flooring, white or neutral-colored walls, no furniture, high ceiling. High-quality architectural photography, cinematic look.
    • Aspect ratio: 4:3 or 1:1

Present the empty room to the user.

Phase B — Furnishing & Styling

Once the base room is ready, submit the plan to fill it with furniture:

  1. Room Furnishing — muapi image edit (model=nano-banana-2-edit):
    • Reference Image: The empty room image from Phase A (or the user-provided {{empty_room_image}}).
    • Prompt: A stunningly designed {{room_type}} filled with high-end furniture in a {{design_style}} style. Includes a comfortable sofa, stylish coffee table, elegant rug, indoor plants, decorative wall art, and ambient lighting. The furniture placement is natural and architecturally sound. Photorealistic textures, soft lighting, cozy and inviting atmosphere, 8k resolution.
    • Aspect ratio: Same as the base image.

After generation, present the final interior design visualization to the user. You can offer to generate variations with different styles (e.g., "Change style to Industrial").

Trigger Keywords

interior design, room visualizer, furniture design, home decor, redesign room

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.

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