oliversaternus/flux-dev-upscaler
Public
6
runs
Run oliversaternus/flux-dev-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 |
|---|---|---|---|
| input_image |
string
|
Input image to upscale
|
|
| upscale_factor |
integer
|
2
Min: 1 Max: 4 |
Upscale factor
|
| controlnet_conditioning_scale |
number
|
0.6
Min: 0.1 Max: 1.5 |
Higher values will closer to original image, but overall lower quality
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Higher values increase computation time
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 4,
"description": "Random seed. Leave blank to randomize the seed"
},
"input_image": {
"type": "string",
"title": "Input Image",
"format": "uri",
"x-order": 0,
"description": "Input image to upscale"
},
"upscale_factor": {
"type": "integer",
"title": "Upscale Factor",
"default": 2,
"maximum": 4,
"minimum": 1,
"x-order": 1,
"description": "Upscale factor"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 28,
"maximum": 50,
"minimum": 1,
"x-order": 3,
"description": "Higher values increase computation time"
},
"controlnet_conditioning_scale": {
"type": "number",
"title": "Controlnet Conditioning Scale",
"default": 0.6,
"maximum": 1.5,
"minimum": 0.1,
"x-order": 2,
"description": "Higher values will closer to original image, but overall lower quality"
}
}
}
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"
}