jschoormans / interior-v2

Remodels interior (Updated 5 months, 2 weeks ago)

  • Public
  • 2.4K runs
  • L40S
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Input

*file
Preview
image

Input image

string
Shift + Return to add a new line

Prompt for image generation

Default: "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k"

number
(minimum: 0, maximum: 1)

Strength of the inpainting

Default: 0.999999

integer
(minimum: 512, maximum: 2048)

Maximum resolution of the output image

Default: 1536

boolean

Keep the furniture structure

Default: false

number
(minimum: 0, maximum: 1)

Controlnet conditioning scale

Default: 0.7

number
(minimum: 0, maximum: 1)

Control guidance start

Default: 0

number
(minimum: 0, maximum: 1)

Control guidance end

Default: 0.8

integer
(minimum: 1, maximum: 100)

Number of inference steps

Default: 30

number
(minimum: 1, maximum: 20)

Guidance scale

Default: 7

file

Control image

file

Inverted mask window

file

Inverted mask ceiling

file

Mask furniture

string
Shift + Return to add a new line

Negative prompt

Default: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"

string
Shift + Return to add a new line

Mask prompt window

Default: "window, doorway"

string
Shift + Return to add a new line

Mask prompt furniture

Default: "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV"

string
Shift + Return to add a new line

Mask prompt ceiling

Default: "ceiling"

file

IP-Adapter image

boolean

Modify depth map for rooms that are originally empty

Default: false

Output

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Generated in

This output was created using a different version of the model, jschoormans/interior-v2:db5c4302.

Run time and cost

This model costs approximately $0.019 to run on Replicate, or 52 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 20 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.