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jagilley /controlnet-hough:854e8727

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
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
ddim_steps
integer
20
Steps
scale
number
9

Min: 0.1

Max: 30

Guidance Scale
seed
integer
Seed
eta
number
0
eta (DDIM)
a_prompt
string
best quality, extremely detailed
Added Prompt
n_prompt
string
longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
Negative Prompt
detect_resolution
integer
512

Min: 128

Max: 1024

Resolution for detection (only applicable when model type is 'HED', 'Segmentation', or 'MLSD')
value_threshold
number
0.1

Min: 0.01

Max: 2

Value Threshold (only applicable when model type is 'MLSD')
distance_threshold
number
0.1

Min: 0.01

Max: 20

Distance Threshold (only applicable when model type is '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'}