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

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.