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philz1337x /clarity-upscaler:aa9a7f6b
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
|
| dynamic |
number
|
6
Min: 1 Max: 50 |
HDR, try from 3 - 9
|
| creativity |
number
|
0.35
Max: 1 |
Creativity, try from 0.3 - 0.9
|
| resemblance |
number
|
0.6
|
Resemblance, try from 0.3 - 1.6
|
| tiling_width |
None
|
112
|
Fractality, set lower tile width for a high Fractality
|
| tiling_height |
None
|
144
|
Fractality, set lower tile height for a high Fractality
|
| scheduler |
None
|
DPM++ 3M SDE Karras
|
scheduler
|
| num_inference_steps |
integer
|
18
Min: 1 Max: 100 |
Number of denoising steps
|
| seed |
integer
|
1337
|
Random seed. Leave blank to randomize the seed
|
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'}