ModelsLab Interior Design AI-powered interior design, room decoration, floor planning, and exterior restoration. When to Use This Skill Redesign interior spaces Decorate rooms with AI assistance Generate floor plans from images Transform room styles and aesthetics Restore or enhance building exteriors Create design mockups and variations Visualize renovation ideas Available Endpoints Interior Design POST https://modelslab.com/api/v6/interior/interior Room Decorator POST https://modelslab.com/api/v6/interior/room_decorator Floor Planning POST https://modelslab.com/api/v6/interior/floor_planning Exterior Restorer POST https://modelslab.com/api/v6/interior/exterior_restorer Scenario Changer POST https://modelslab.com/api/v6/interior/scenario_changer Object Removal POST https://modelslab.com/api/v6/interior/object_removal Interior Mixer POST https://modelslab.com/api/v6/interior/interior_mixer Interior Redesign import requests def redesign_interior ( room_image , design_prompt , api_key ) : """Redesign an interior space based on a prompt. Args: room_image: URL of the room photo design_prompt: Description of desired design api_key: Your ModelsLab API key Returns: URL of the redesigned interior """ response = requests . post ( "https://modelslab.com/api/v6/interior/interior" , json = { "key" : api_key , "init_image" : room_image , "prompt" : design_prompt , "negative_prompt" : "low quality, distorted, unrealistic" , "num_inference_steps" : 31 ,

21, 31, or 41

"guidance_scale" : 7.5 , "strength" : 0.7 } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( f"Error: { data . get ( 'message' , 'Unknown error' ) } " )

Usage

redesigned

redesign_interior ( "https://example.com/living-room.jpg" , "Modern minimalist living room with Scandinavian furniture, white walls, natural light" , "your_api_key" ) print ( f"Redesigned room: { redesigned } " ) Room Decorator def decorate_room ( room_image , decor_prompt , api_key , specific_object = None ) : """Decorate a room with AI-generated furniture and decor. Args: room_image: URL of the empty or basic room decor_prompt: Description of desired decoration specific_object: Specific furniture/decor item that must appear """ payload = { "key" : api_key , "init_image" : room_image , "prompt" : decor_prompt , "negative_prompt" : "cluttered, low quality, distorted" , "num_inference_steps" : 31 , "guidance_scale" : 7.5 , "strength" : 0.8 } if specific_object : payload [ "specific_object" ] = specific_object response = requests . post ( "https://modelslab.com/api/v6/interior/room_decorator" , json = payload ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Decorate empty room

decorated

decorate_room ( "https://example.com/empty-room.jpg" , "Cozy bedroom with warm lighting, plants, wooden furniture" , "your_api_key" , specific_object = "king size bed" ) print ( f"Decorated room: { decorated } " ) Floor Planning def generate_floor_plan ( room_image , api_key ) : """Generate a floor plan from a room image. Args: room_image: URL of room photo api_key: Your API key Returns: URL of the generated floor plan """ response = requests . post ( "https://modelslab.com/api/v6/interior/floor_planning" , json = { "key" : api_key , "init_image" : room_image } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Generate floor plan

floor_plan

generate_floor_plan ( "https://example.com/room-photo.jpg" , "your_api_key" ) print ( f"Floor plan: { floor_plan } " ) Exterior Restoration def restore_exterior ( building_image , restoration_prompt , api_key ) : """Restore or enhance building exterior. Args: building_image: URL of building exterior photo restoration_prompt: Description of desired restoration """ response = requests . post ( "https://modelslab.com/api/v6/interior/exterior_restorer" , json = { "key" : api_key , "init_image" : building_image , "prompt" : restoration_prompt , "negative_prompt" : "damaged, old, worn" , "num_inference_steps" : 31 , "guidance_scale" : 7.5 } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Restore old building

restored

restore_exterior ( "https://example.com/old-building.jpg" , "Restored Victorian house with fresh paint, new windows, landscaped garden" , "your_api_key" ) Scenario Changer def change_room_scenario ( room_image , new_scenario , api_key ) : """Change the environment scenario of a room. Args: room_image: URL of room photo new_scenario: Description of new scenario/ambiance """ response = requests . post ( "https://modelslab.com/api/v6/interior/scenario_changer" , json = { "key" : api_key , "init_image" : room_image , "prompt" : new_scenario , "num_inference_steps" : 31 , "guidance_scale" : 7.5 } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Change from day to evening

evening_room

change_room_scenario ( "https://example.com/daytime-room.jpg" , "Evening ambiance with warm lamp lighting, cozy atmosphere" , "your_api_key" ) Object Removal def remove_interior_object ( room_image , object_to_remove , api_key ) : """Remove an object from an interior image. Args: room_image: URL of room photo object_to_remove: Description of object to remove """ response = requests . post ( "https://modelslab.com/api/v6/interior/object_removal" , json = { "key" : api_key , "init_image" : room_image , "object_name" : object_to_remove } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Remove furniture

cleaned

remove_interior_object ( "https://example.com/cluttered-room.jpg" , "old sofa" , "your_api_key" ) Interior Mixer def mix_interior_objects ( room_image , object_image , placement_prompt , api_key ) : """Add objects from one image into another room. Args: room_image: URL of the target room object_image: URL of image containing object to add placement_prompt: Description of how to place the object """ response = requests . post ( "https://modelslab.com/api/v6/interior/interior_mixer" , json = { "key" : api_key , "init_image" : room_image , "object_image" : object_image , "prompt" : placement_prompt , "width" : 512 , "height" : 512 , "num_inference_steps" : 8 , "guidance_scale" : 7.5 } ) data = response . json ( ) if data [ "status" ] == "success" : return data [ "output" ] [ 0 ] else : raise Exception ( data . get ( "message" ) )

Add furniture from another image

mixed

mix_interior_objects ( "https://example.com/empty-room.jpg" , "https://example.com/furniture.jpg" , "Place the chair in the corner near the window" , "your_api_key" ) Key Parameters Parameter Description Values init_image Room/building image Image URL prompt Design description Detailed text negative_prompt What to avoid "cluttered, low quality" strength Transformation strength 0.0-1.0 (0.7 typical) num_inference_steps Quality level 21, 31, or 41 guidance_scale Prompt adherence 1-20 (7.5 typical) specific_object Required item Object name object_name Object to remove Description Best Practices 1. Write Detailed Design Prompts ✗ Bad: "modern room" ✓ Good: "Modern minimalist living room with Scandinavian furniture, white walls, oak floor, large windows, indoor plants" Include: Style, furniture, colors, lighting, materials, atmosphere 2. Use Appropriate Strength Values

Subtle changes

strength

0.5

Moderate redesign

strength

0.7

Complete transformation

strength

0.9 3. Quality vs Speed

Fast (21 steps)

num_inference_steps

Balanced (31 steps) - Recommended

num_inference_steps

Best quality (41 steps)

num_inference_steps

41 4. Use High-Quality Input Images Well-lit room photos Clear view of the space Minimal distortion High resolution preferred Common Use Cases Virtual Staging def stage_empty_room ( room_image , style , api_key ) : """Stage an empty room for real estate listing.""" return decorate_room ( room_image , f" { style } furnished room with modern furniture, well-lit, professional" , api_key )

Stage for listing

staged

stage_empty_room ( "https://example.com/empty-apartment.jpg" , "Modern luxury" , api_key ) Design Variations def create_design_variations ( room_image , styles , api_key ) : """Generate multiple design style variations.""" variations = [ ] for style in styles : variant = redesign_interior ( room_image , f" { style } interior design style" , api_key ) variations . append ( variant ) print ( f" { style } : { variant } " ) return variations

Generate variations

designs

create_design_variations ( "https://example.com/room.jpg" , [ "Modern Scandinavian" , "Industrial Loft" , "Classic Traditional" , "Bohemian" ] , api_key ) Renovation Planning def plan_renovation ( current_room , desired_style , api_key ) : """Plan room renovation with before/after.""" before = current_room after = redesign_interior ( before , f"Renovated { desired_style } room with updated fixtures and furniture" , api_key ) return { "before" : before , "after" : after }

Plan kitchen renovation

plan

plan_renovation ( "https://example.com/old-kitchen.jpg" , "modern farmhouse kitchen" , api_key ) Complete Room Makeover def complete_room_makeover ( room_image , api_key ) : """Full room transformation workflow."""

Step 1: Remove unwanted items

cleaned

remove_interior_object ( room_image , "old furniture and clutter" , api_key )

Step 2: Redesign space

redesigned

redesign_interior ( cleaned , "Modern minimalist interior with natural materials" , api_key )

Step 3: Add specific decor

final

decorate_room ( redesigned , "Add cozy lighting and indoor plants" , api_key , specific_object = "pendant lamp" ) return final Before/After Scenarios

Day to night transformation

day_room

"https://example.com/daytime.jpg" night = change_room_scenario ( day_room , "Evening ambiance with warm lighting, twilight outside windows" , api_key )

Summer to winter

winter

change_room_scenario ( day_room , "Winter scene with snow outside, cozy fireplace, warm interior" , api_key ) Error Handling try : design = redesign_interior ( room_image , prompt , api_key ) print ( f"Design created: { design } " ) except Exception as e : print ( f"Design generation failed: { e } " )

Log error, try different prompt, notify user

Performance Tips

Use Appropriate Inference Steps

31 steps balances quality and speed

Optimize Prompts

Clear, detailed prompts work best

Batch Similar Requests

Generate multiple variations together

Cache Results

Store generated designs
Monitor Quality: Adjust strength and guidance_scale as needed Enterprise API For dedicated resources:

Enterprise endpoints

url

"https://modelslab.com/api/v1/enterprise/interior/interior" url = "https://modelslab.com/api/v1/enterprise/interior/room_decorator" Resources Interior API Docs : https://docs.modelslab.com/interior-api/overview Interior Design : https://docs.modelslab.com/interior-api/interior Room Decorator : https://docs.modelslab.com/interior-api/room-decorator Floor Planning : https://docs.modelslab.com/interior-api/floor-planning Get API Key : https://modelslab.com/dashboard

安装

21, 31, or 41

Usage

redesigned

Decorate empty room

decorated

Generate floor plan

floor_plan

Restore old building

restored

Change from day to evening

evening_room

Remove furniture

cleaned

Add furniture from another image

mixed

Subtle changes

strength

Moderate redesign

strength

Complete transformation

strength

Fast (21 steps)

num_inference_steps

Balanced (31 steps) - Recommended

num_inference_steps

Best quality (41 steps)

num_inference_steps

Stage for listing

staged

Generate variations

designs

Plan kitchen renovation

plan

Step 1: Remove unwanted items

cleaned

Step 2: Redesign space

redesigned

Step 3: Add specific decor

final

Day to night transformation

day_room

Summer to winter

winter

Log error, try different prompt, notify user

Enterprise endpoints

url