Interior Design

Estimated credits: ~70 per run.

Inputs

room_type

design_style

color_palette

specific_elements

room_photo

Steps

Phase A — Room Concept / Redesign

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.

• 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.