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lucataco /rivers-stable-diffusion-upscaler:d70507ad

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'}