smoretalk / deblur

  • Public
  • 65 runs

Run smoretalk/deblur 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
init_image
string
Input original image for inpainting.
prompt
string
Input prompt.
negative_prompt
string
Input negative prompt.
num_inference_steps
integer
40

Min: 1

Max: 50

Number of denoising steps.
num_images_per_prompt
integer
1

Min: 1

Max: 4

Number of outputs.
guidance_scale
number
6

Max: 20

Scale for classifier-free guidance.
strength
number
0.1

Max: 1

Scale for denoising.
seed
integer
Random seed. Leave blank to randomize the seed.

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"
}