Interior Design

Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.

Inputs

Steps

Phase A — Room Concept / Redesign

Submit the plan with ONE or TWO steps:

1. 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):

   • 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)

2. 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.

After generation:

• Present the new room design
• Offer to "expand the room" using ai-image-extension to 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-i2i is 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

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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.