anotherjesse / controlnet-tile-test

  • Public
  • 4.7K runs
  • A100 (80GB)
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Input

file

Optional Image to use for guidance based on tile

number

Scale of conditioning for controlnet

Default: 1

string
Shift + Return to add a new line

Input prompt

Default: "photo of cjw person"

string
Shift + Return to add a new line

Specify things to not see in the output

number
(minimum: 0, maximum: 1)

Strength

Default: 1

integer

Resolution of output image

Default: 512

integer
(minimum: 1, maximum: 10)

Number of images to output.

Default: 1

integer
(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

number
(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

string

Choose a scheduler.

Default: "KerrasDPM"

boolean

Disable safety check. Use at your own risk!

Default: false

integer

Random seed. Leave blank to randomize the seed

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.011 to run on Replicate, or 90 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 A100 (80GB) GPU hardware. Predictions typically complete within 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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