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philz1337x /clarity-upscaler:abd484ac

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
integer (enum)
112

Options:

16, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256

Fractality, set lower tile width for a high Fractality
tiling_height
integer (enum)
144

Options:

16, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256

Fractality, set lower tile height for a high Fractality
sd_model
string (enum)
juggernaut_reborn.safetensors [338b85bc4f]

Options:

epicrealism_naturalSinRC1VAE.safetensors [84d76a0328], juggernaut_reborn.safetensors [338b85bc4f], juggernaut_final.safetensors

Stable Diffusion model checkpoint
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
downscaling
boolean
False
Downscale the image
downscaling_resolution
integer
768
Downscaling resolution

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'}