philz1337x
/
clarity-lowres-upscaler
Low resolution image Upscaler and Enhancer. For images between 64 - 512 px. Use at ClarityAI.co Twitter/X: @philz1337x
Run philz1337x/clarity-lowres-upscaler 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
|
Source image
|
|
| output_size |
integer
|
1024
|
Size of output image
|
| prompt |
string
|
best quality
|
Input prompt
|
| negative_prompt |
string
|
blur, lowres, bad anatomy, bad hands, cropped, worst quality
|
Negative prompt
|
| strength |
number
|
1
|
Strength
|
| steps |
integer
|
32
|
Number of steps
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 6,
"description": "Random seed. Leave blank to randomize the seed"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Source image"
},
"steps": {
"type": "integer",
"title": "Steps",
"default": 32,
"x-order": 5,
"description": "Number of steps"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "best quality",
"x-order": 2,
"description": "Input prompt"
},
"strength": {
"type": "number",
"title": "Strength",
"default": 1,
"x-order": 4,
"description": "Strength"
},
"output_size": {
"type": "integer",
"title": "Output Size",
"default": 1024,
"x-order": 1,
"description": "Size of output image"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "blur, lowres, bad anatomy, bad hands, cropped, worst quality",
"x-order": 3,
"description": "Negative prompt"
}
}
}
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",
"x-cog-array-type": "iterator"
}