cottom / xsd_12kdsd

(Updated 1 year, 8 months ago)

  • Public
  • 208 runs
  • L40S
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Input

string
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Prompt to generate from

Default: ""

string
Shift + Return to add a new line

Prompt to generate from

Default: ""

*file
Preview
image

Grayscale input image

file

Grayscale input image

string

scheduler

Default: "K_EULER"

integer
(minimum: 128, maximum: 4096)

Resolution at which detection method will be applied)

Default: 512

integer
(minimum: 128, maximum: 4096)

Resolution at which image will be applied)

Default: 1024

integer
(minimum: 1, maximum: 100)

Number of inference steps

Default: 30

number
(minimum: 0, maximum: 10)

controlnet conditioning scale for generalization

Default: 2

integer
(minimum: 1, maximum: 9)

Number of image per prompt

Default: 1

number
(minimum: 0, maximum: 1)

controlnet conditioning scale for generalization

Default: 0.5

boolean

enable depth control

Default: true

boolean

enable sketch control

Default: true

boolean

dry run

Default: false

Output

output
Generated in

This output was created using a different version of the model, cottom/xsd_12kdsd:275e48e4.

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 33 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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