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philz1337x /clarity-upscaler:803dc4af
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
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}