andreasjansson / andreambooth

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  • 324 runs

Run andreasjansson/andreambooth with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
prompt
string
a photo of a cjw person
Input prompt
negative_prompt
string
Specify things to not see in the output
image
string
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.
width
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt_strength
number
0.8
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
scheduler
string (enum)
DDIM

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler
seed
integer
Random seed. Leave blank to randomize the seed
disable_safety_check
boolean
False
Disable safety check. Use at your own risk!

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}