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rossjillian /controlnet:d55b9f2d

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
Structure to condition on: canny, depth, hed, hough, normal, pose, scribble, seg
num_samples
string (enum)
1

Options:

1, 4

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

Options:

256, 512, 768

Image resolution to be generated
steps
integer
20
Steps
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
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
low_threshold
integer
100

Min: 1

Max: 255

[canny only] Line detection low threshold
high_threshold
integer
200

Min: 1

Max: 255

[canny only] Line detection high threshold

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'}