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mikelyndon /controlnet-multi:69d16083

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
prompt
string
a magpie wearing a tophat
Input prompt
negative_prompt
string
monochrome, lowres, bad anatomy, worst quality, low quality
Specify things to not see in the output
seed
integer
Random seed. Leave blank to randomize the seed
canny
string
Canny input image
pose
string
Pose input image
depth
string
Depth input image
mlsd
string
MLSD input image
seg
string
SEG input image
softedge
string
Soft Edge (hed) input image
canny_weight
number
1

Max: 1

A value between 0 and 1 to emphasize the conditioning by the canny edges.
pose_weight
number
0

Max: 1

A value between 0 and 1 to emphasize the conditioning by the open pose.
depth_weight
number
0

Max: 1

A value between 0 and 1 to emphasize the conditioning by the depth.
mlsd_weight
number
0

Max: 1

A value between 0 and 1 to emphasize the conditioning by the mlsd.
seg_weight
number
0

Max: 1

A value between 0 and 1 to emphasize the conditioning by the seg.
softedge_weight
number
0

Max: 1

A value between 0 and 1 to emphasize the conditioning by the soft edge (hed).

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'}