Agent Skills
› SamurAIGPT/Generative-Media-Skills
› muapi-interior-design
muapi-interior-design
GitHub用于创建专业室内设计可视化，支持重新设计现有房间、生成新概念或展示特定家具风格。通过调用图像生成和编辑模型，结合提示词实现 photorealistic 渲染，并提供多角度视图及扩展建议。
Trigger Scenarios
interior design
room redesign
home decor
architecture visualization
room concept
furniture layout
house design
interior visualization
Install
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-interior-design -g -y
SKILL.md
Frontmatter
{
"name": "muapi-interior-design",
"slug": "muapi-interior-design",
"version": "1.0.0",
"description": "Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.",
"acceptLicenseTerms": true
}
Interior Design
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
room_type |
text | yes | — | The type of room (e.g. "modern living room", "scandinavian kitchen", "luxury master bedroom", "minimalist home office"). |
design_style |
text | no | modern minimalist | The aesthetic direction (e.g. "japandi", "industrial loft", "boho chic", "mid-century modern", "art deco"). |
color_palette |
text | no | neutral tones with wood accents | Preferred colors and materials (e.g. "sage green and brass", "monochrome black and white", "warm terracotta"). |
specific_elements |
text | no | — | Particular items to include (e.g. "large floor-to-ceiling windows", "velvet green sofa", "statement pendant light"). |
room_photo |
image_url | no | — | Optional photo of an existing room to redesign or use as layout reference. |
Steps
Phase A — Room Concept / Redesign
Submit the plan with ONE or TWO steps:
-
Main Visualization — If
{{room_photo}}is provided, usemuapi image edit(model=flux-kontext-pro-i2i); otherwise usemuapi image generate(model=nano-banana-pro):- Prompt:
Professional interior design visualization of a {{room_type}}. Style: {{design_style}}. Color palette: {{color_palette}}. {{specific_elements}}. Cinematic lighting, architectural photography style, wide angle lens, 8k resolution, photorealistic textures. High-end interior design magazine quality. - If
{{room_photo}}is used, add:Maintain the structural layout and window placement of the reference room. Completely transform the furniture, decor, and wall finishes to match the new style. - Aspect ratio: 16:9 (standard for room views)
- Prompt:
-
Alternative Angle (Optional) —
muapi image generate(model=bytedance-seedream-v4.5):- Prompt:
A different perspective/closeup of the same {{room_type}} — focus on the textures and lighting of the {{specific_elements}}. {{design_style}} aesthetic, {{color_palette}}. Professional interior photography.
- Prompt:
After generation:
- Present the new room design
- Offer to "expand the room" using
ai-image-extensionto see more of the space - Suggest adding a 3D-style walkthrough video using
kling-v3.0-pro-image-to-video - Offer to generate a specific mood board for this design
Notes
flux-kontext-pro-i2iis the best model for maintaining the "soul" of a room while changing the design style.- For small rooms, suggest using "bright natural light" and "minimal furniture" to make the space feel larger.
- For commercial spaces (offices, cafes), add "professional workplace lighting" to the prompt.
Trigger Keywords
interior design, room redesign, home decor, architecture visualization, room concept, furniture layout, house design, interior visualization
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.
Version History
- d4ce293 Current 2026-07-25 11:22
