Image Generation
Controlnet Preprocess Node
The Controlnet Preprocess Node shows the outputs of various pre-processors for Controlnet
Canny Edge Controlnet Preprocess Node
Creates an edge map from the base image.
Inputs
The base image to process
A number between 0 and 255, that is a threshold for strong edges. Any pixel
value higher than the threshold is taken as a “strong edge”.
A number between 0 and 255, that is a threshold for weak edges. Any pixel
value lower than the threshold is not taken as an edge
This setting only has an effect when used in a Controlnet Node, not a
Controlnet Preprocessor Node.
The output image after pre-processing
Depth Map Controlnet Preprocess Node
Creates a depth map from the base image.
Inputs
The base image to process
The output image after pre-processing
HED Map Controlnet Preprocess Node
Creates a “soft-edge” map using the base image. It’s a map that isn’t as pointed as a canny edge map, but instead highlights the higher level contours of the image.
Inputs
The base image to process
The output image after pre-processing
Segmentation Map Controlnet Preprocess Node
Creates a map that segments various objects of the image.
Inputs
The base image to process
The output image after pre-processing
OpenPose Controlnet Preprocess Node
Creates a stick-figure of the underlying subject in the pose from the image.
Inputs
The base image to process
If turned on, the pose will also take the position of the fingers of the hand
into account.
This setting only has an effect when used in a Controlnet Node, not a
Controlnet Preprocessor Node.
The output image after pre-processing