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alexgenovese /upscaler:1c75d626
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
|
the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas
|
None
|
| guidance_scale |
number
|
1
Max: 10 |
Guidance scale (0 - 10)
|
| noise_aug_type |
string
(enum)
|
gaussian
Options: gaussian, fake |
Sampler to use
|
| noise_aug_level |
number
|
0
Max: 1 |
Amount of noise to augment
|
| sampler |
string
(enum)
|
k_dpm_adaptive
Options: k_euler, k_euler_ancestral, k_dpm_2_ancestral, k_dpm_fast, k_dpm_adaptive |
Sampler to use
|
| steps |
integer
|
50
Max: 100 |
# inference steps
|
| tol_scale |
number
|
0.25
Max: 10 |
k_dpm_adaptive uses an an adaptive solver with error tolerance tol_scale, all other use a fixed # of steps
|
| eta |
number
|
1
Max: 10 |
Amount of noise to add per step (0-deterministic). Used in all samples except k_euler
|
| seed |
integer
|
0
|
Seed (0 = random, maximum: 2147483647)
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}