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AI Interior Design

Backend V1

Original room

Original room

Generated using mlsd

generated.png

Generated room using segroom + mlsd

Generated room using segroom + mlsd

Generated room with window masking

generated.png

Original sketch

Original room

Generated room with window masking

generated.png

See example prompts in the photobooth page or in the gallery.

Overview

AI Interrior design is the term for the process of generating images of a room with different furniture, wall colors, and decorations all while keeping the original room layout. This can be useful for interior designers, real estate agents, or when planning a renovation.

How to use

In order to preserve the room layout use either controlnet mlsd or segroom. Input images can be sketches, 3d models, or photos of the room. Depending on the input, you might need to adjust the strength and combination of controlnets as well as the prompts.

Controlnet segroom is a specific controlnet that was trained to preserve the meaning of the room layout, such as walls and windows.

Controlnet mlsd is a more general model, used with a pre-processor that produces straight lines and is suitable for architecture.

mlsd is support for both SDXL and SD1.5 models while segroom is only available for SD1.5 models.

You may use the multi-controlnet option to combine both controlnets like --controlnets mlsd segroom --controlnet_weights 1 0.5.

Additionally you may decide to automatically mask out windows and doors by using the --mask_prompt windows door --mask_invert prompt. See more information on prompt masking syntax.

Example prompt

Clean scandinavian design living room, natural light, architecture magazine cover  <lora:epi_noiseoffset2:0.5><lora:FilmVelvia2:0.5><lora:add_detail:0.5><lora:epiCRealismHelper:0.2> --mask_prompt windows door --mask_invert --controlnets mlsd segroom --controlnet_weights 0.5 1
num_images=1
negative_prompt=painted, sketch, deformed, easynegative
seed=
steps=30
cfg_scale=
controlnet=lineart
input_image_url=https://sdbooth2-production.s3.amazonaws.com/du6cwkp9nojx3ze66vv5nqi39jxo
mask_image_url=
denoising_strength=1
controlnet_conditioning_scale=
controlnet_txt2img=false
super_resolution=true
inpaint_faces=false
face_correct=false
film_grain=false
face_swap=false
hires_fix=true
backend_version=1
ar=1:1
scheduler=dpm++sde_karras
color_grading=
use_lpw=true
w=
h=