You're looking at a specific version of this model. Jump to the model overview.
mserro /upscaler-pro:94a45ebf
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
Max: 3 |
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], flat2DAnimerge_v45Sharp.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 before upscaling. Can improve quality and speed for images with high resolution but lower quality
|
| downscaling_resolution |
integer
|
768
|
Downscaling resolution
|
| lora_links |
string
|
|
Link to a lora file you want to use in your upscaling. Multiple links possible, seperated by comma
|
| custom_sd_model |
string
|
|
None
|
| sharpen |
number
|
0
Max: 10 |
Sharpen the image after upscaling. The higher the value, the more sharpening is applied. 0 for no sharpening
|
| mask |
string
|
Mask image to mark areas that should be preserved during upscaling
|
|
| handfix |
string
(enum)
|
disabled
Options: disabled, hands_only, image_and_hands |
Use clarity to fix hands in the image
|
| 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.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}