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prakharsaxena24 /masked-upscaler:888cc220
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
|
|
| prompt |
string
|
masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>
|
Prompt
|
| negative_prompt |
string
|
(worst quality, low quality, normal quality:2) JuggernautNegative-neg
|
Negative Prompt
|
| scale_factor |
number
|
2
|
Scale factor
|
| num_inference_steps |
integer
|
18
Min: 1 Max: 100 |
Number of denoising steps
|
| seed |
integer
|
1337
|
Random seed. Leave blank to randomize the seed
|
| mask |
string
|
Mask image areas to not upscale
|
|
| output_format |
string
(enum)
|
png
Options: webp, jpg, png |
Format of the output images
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}