chigozienri / ip_adapter-sdxl-controlnet-depth

  • Public
  • 88 runs
  • L40S

Input

*file
Preview
image

Input image

*file

Controlnet Depth

number
(minimum: 0, maximum: 1)

Controlnet conditioning scale

Default: 0.6

string
Shift + Return to add a new line

Prompt

Default: ""

string
Shift + Return to add a new line

Negative Prompt

Default: ""

number
(minimum: 0, maximum: 1)

Scale (influence of input image on generation)

Default: 0.6

integer
(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

integer
(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

integer

Random seed. Leave blank to randomize the seed

Output

outputoutput
Generated in

This example was created by a different version, chigozienri/ip_adapter-sdxl-controlnet-depth:3f38ccce.

Run time and cost

This model costs approximately $0.070 to run on Replicate, or 14 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 72 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.