ran-mewo/waifuxl
State of the art image upscaling; High quality image upsampling for anime-style art using state-of-the-art neural networks
Run ran-mewo/waifuxl 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
|
|
| scale |
integer
|
1
|
How many times to repeat the super resolution
|
| chunking |
boolean
|
False
|
Whether to chunk the image into smaller pieces to avoid running out of memory
|
| format |
string
|
PNG
|
Output type of the image
|
{
"type": "object",
"title": "Input",
"required": [
"image"
],
"properties": {
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Input image"
},
"scale": {
"type": "integer",
"title": "Scale",
"default": 1,
"minimum": 0,
"x-order": 1,
"description": "How many times to repeat the super resolution"
},
"format": {
"type": "string",
"title": "Format",
"default": "PNG",
"x-order": 3,
"description": "Output type of the image"
},
"chunking": {
"type": "boolean",
"title": "Chunking",
"default": false,
"x-order": 2,
"description": "Whether to chunk the image into smaller pieces to avoid running out of memory"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}