oranzino/swinir
Public
23
runs
Run oranzino/swinir 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 |
|---|---|---|---|
| image |
string
|
input image
|
|
| task_type |
None
|
Real-World Image Super-Resolution
|
image restoration task type
|
| jpeg |
None
|
40
|
scale factor, activated for JPEG Compression Artifact Reduction
|
| noise |
None
|
15
|
noise level, activated for Grayscale Image Denoising and Color Image Denoising
|
{
"type": "object",
"title": "Input",
"required": [
"image"
],
"properties": {
"jpeg": {
"enum": [
10,
20,
30,
40
],
"type": "integer",
"title": "jpeg",
"description": "scale factor, activated for JPEG Compression Artifact Reduction",
"default": 40,
"x-order": 2
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "input image"
},
"noise": {
"enum": [
15,
25,
50
],
"type": "integer",
"title": "noise",
"description": "noise level, activated for Grayscale Image Denoising and Color Image Denoising",
"default": 15,
"x-order": 3
},
"task_type": {
"enum": [
"Real-World Image Super-Resolution",
"Grayscale Image Denoising",
"Color Image Denoising",
"JPEG Compression Artifact Reduction"
],
"type": "string",
"title": "task_type",
"description": "image restoration task type",
"default": "Real-World Image Super-Resolution",
"x-order": 1
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"title": "Output"
}