Muapi Interior Design Visualizer logo

Muapi Interior Design Visualizer

OrganizationPopular
SamurAIGPT
muapi-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.

Overview

PublisherSamurAIGPT
RepositoryGenerative-Media-Skills
Skill namemuapi-interior-design-visualizer
Stars
4.3K
Forks
492
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SamurAIGPT on GitHub. Read the source before you install it.

Installation

Install the Muapi Interior Design Visualizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills
mkdir -p .claude/skills
cp -r /tmp/Generative-Media-Skills/library/visual/interior-design-visualizer .claude/skills/muapi-interior-design-visualizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Muapi Interior Design Visualizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Muapi Interior Design Visualizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Muapi Interior Design Visualizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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_urlnoOptional 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 Generationmuapi 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 Furnishingmuapi 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.

Frequently asked questions

What does the Muapi Interior Design Visualizer AI skill do?

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

Why use Muapi Interior Design Visualizer on TypingMind?

Because you install it once and use it with any model. Muapi Interior Design Visualizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Muapi Interior Design Visualizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/interior-design-visualizer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Muapi Interior Design Visualizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Muapi Interior Design Visualizer?

As many as you like. As long as a model supports skills, you can use Muapi Interior Design Visualizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Muapi Interior Design Visualizer AI skill free?

Yes. It is published on GitHub by SamurAIGPT under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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