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muapi-interior-design
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
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Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
Transform a 2D logo into a premium 3D version and animate it with professional cinematic effects.
Generate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.
Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".
Convert a photo of a person into a Pixar-style 3D cartoon character, then animate it using a reference dance or motion video.
Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.
| slug | muapi-interior-design |
| name | 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 |
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
| 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. |
Submit the plan with ONE or TWO steps:
Main Visualization — If {{room_photo}} is provided, use muapi image edit (model=flux-kontext-pro-i2i); otherwise use muapi image generate (model=nano-banana-pro):
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.{{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.Alternative Angle (Optional) — muapi image generate (model=bytedance-seedream-v4.5):
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.After generation:
ai-image-extension to see more of the spacekling-v3.0-pro-image-to-videoflux-kontext-pro-i2i is the best model for maintaining the "soul" of a room while changing the design style.interior design, room redesign, home decor, architecture visualization, room concept, furniture layout, house design, interior visualization
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.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>.{{input_name}} placeholders with the user's actual inputs before issuing each call.