workroomprds / jamesbooth1

To explore stablebooth (training and prompts) trained on pictures of James!

  • Public
  • 259 runs
  • T4

Input

string
Shift + Return to add a new line

Input prompt

Default: "a photo of a workroomprds person"

string
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Specify things to not see in the output

file

A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

number

Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

integer
(minimum: 1, maximum: 4)

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: "DDIM"

integer

Random seed. Leave blank to randomize the seed

boolean

Disable safety check. Use at your own risk!

Default: false

Output

output
Generated in

Run time and cost

This model costs approximately $0.0088 to run on Replicate, or 113 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 T4 GPU hardware. Predictions typically complete within 40 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Model description

Intended use

To help build thoughts around training data, prompts and aesthetics / quality…

Ethical considerations

Caveats and recommendations