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philz1337x /clarity-upscaler:5166b1e5

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
scheduler
string (enum)
DPM++ 3M SDE Karras

Options:

DPM++ 2M Karras, DPM++ SDE Karras, DPM++ 2M SDE Exponential, DPM++ 2M SDE Karras, Euler a, Euler, LMS, Heun, DPM2, DPM2 a, DPM++ 2S a, DPM++ 2M, DPM++ SDE, DPM++ 2M SDE, DPM++ 2M SDE Heun, DPM++ 2M SDE Heun Karras, DPM++ 2M SDE Heun Exponential, DPM++ 3M SDE, DPM++ 3M SDE Karras, DPM++ 3M SDE Exponential, DPM fast, DPM adaptive, LMS Karras, DPM2 Karras, DPM2 a Karras, DPM++ 2S a Karras, Restart, DDIM, PLMS, UniPC

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
pre_downscaling
boolean
False
Pre-Downscale the image before upscaling
downscaling_resolution
integer
512
Resolution to downscale the image to

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'}