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usamaehsan /controlnet-1.1-x-realistic-vision-v2.0:7fbf4c86

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
Prompt for the model
structure
string (enum)
lineart

Options:

lineart

Structure to condition on
num_samples
string (enum)
1

Options:

1, 4

Number of samples (higher values may OOM)
image_resolution
string (enum)
512

Options:

256, 512, 768

Resolution of image (square)
ddim_steps
integer
20
Steps
strength
number
1
Control strength
scale
number
9

Min: 0.1

Max: 30

Scale for classifier-free guidance
seed
integer
Seed
eta
number
0
Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
preprocessor
string (enum)
Lineart

Options:

Lineart, Lineart_Coarse, None

preprocessor
preprocessor_resolution
integer
512

Min: 128

Max: 1024

Preprocessor resolution
a_prompt
string
Best quality, extremely detailed
Additional text to be appended to prompt
n_prompt
string
Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
Negative prompt
guessmode
boolean
False
guess mode

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'}