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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'}