lucataco / sdxl-controlnet-depth

SDXL ControlNet - Depth

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  • 30.4K runs
  • L40S
  • GitHub
  • License

Input

image
file

Input image for controlnet

string
Shift + Return to add a new line

Input prompt

Default: "spiderman lecture, photorealistic"

integer
(minimum: 1, maximum: 100)

Number of inference steps

Default: 30

number
(minimum: 0, maximum: 1)

controlnet conditioning scale for generalization

Default: 0.5

integer

Random seed. Set to 0 to randomize the seed

Default: 0

Output

output
Generated in

This example was created by a different version, lucataco/sdxl-controlnet-depth:5e0a5cda.

Run time and cost

This model costs approximately $0.031 to run on Replicate, or 32 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 32 seconds. The predict time for this model varies significantly based on the inputs.