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usamaehsan /controlnet-1.1-x-realistic-vision-v2.0:3835bee2

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
Animal
Prompt for the model
structure
string (enum)
lineart

Options:

lineart, normal, MLSD

Structure to condition on
num_samples
string (enum)
1

Options:

1, 4

Number of samples (higher values may OOM)
image_resolution
integer
512
Resolution of image
ddim_steps
integer
10
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, Normal_BAE, MLSD, None

preprocessor, Normal bae just for Normal, Lineart and lineart coarse just for lineart, MLSD just for MLSD
preprocessor_resolution
integer
512
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
value_threshold
number
9

Min: 0.1

Max: 30

value_threshold, just for MLSD
distance_threshold
number
9

Min: 0.1

Max: 30

distance_threshold, JUST FOR MLSD

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'}