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  • Documentation
  • Input types
  • Output types
  1. Core Nodes
  2. Conditioning

Apply ControlNet

PreviousConditioning (Set Mask)NextApply ControlNet (Advanced)

Last updated 5 months ago

Documentation

  • Class name: ControlNetApply

  • Category: conditioning

  • Output node: False

This node applies a control network to a given image and conditioning, adjusting the image’s attributes based on the control network’s parameters and a specified strength. It enables dynamic modification of image characteristics through control hints, facilitating targeted adjustments without altering the original conditioning structure.

Input types

Parameter
Comfy dtype
Description

conditioning

CONDITIONING

The conditioning data to be modified by the control network. It serves as the basis for the control network’s adjustments, influencing the final output.

control_net

CONTROL_NET

The control network to be applied. It defines the specific adjustments to be made to the image, based on its trained parameters.

image

IMAGE

The image to which the control network’s adjustments will be applied. It provides the visual context for the control network’s operations.

strength

FLOAT

A scalar value determining the intensity of the control network’s adjustments. It allows for fine-tuning the impact of the control network on the image.

Output types

Parameter
Comfy dtype
Description

conditioning

CONDITIONING

The modified conditioning data, reflecting the adjustments made by the control network.