ControlNetApplySD3 - ComfyUI Built-in Node Documentation

This node applies ControlNet guidance to Stable Diffusion 3 conditioning. It takes positive and negative conditioning inputs along with a ControlNet model and an image, then applies the control guidance with adjustable strength and timing parameters to influence the generation process. Note: This node has been marked as deprecated and may be removed in future versions.

Inputs

Parameter	Description	Data Type	Required	Range
`positive`	The positive conditioning to apply ControlNet guidance to	CONDITIONING	Yes	-
`negative`	The negative conditioning to apply ControlNet guidance to	CONDITIONING	Yes	-
`control_net`	The ControlNet model to use for guidance	CONTROL_NET	Yes	-
`vae`	The VAE model used in the process	VAE	Yes	-
`image`	The input image that ControlNet will use as guidance	IMAGE	Yes	-
`strength`	The strength of the ControlNet effect (default: 1.0). When set to 0.0, the node skips ControlNet application and returns the conditioning unchanged.	FLOAT	Yes	0.0 - 10.0
`start_percent`	The starting point in the generation process where ControlNet begins to apply (default: 0.0)	FLOAT	Yes	0.0 - 1.0
`end_percent`	The ending point in the generation process where ControlNet stops applying (default: 1.0)	FLOAT	Yes	0.0 - 1.0

Note: When strength is set to 0.0, no ControlNet guidance is applied and the input conditioning is passed through unchanged to both outputs. Note: If the same conditioning is reused elsewhere and already contains control information, the new ControlNet is linked after the previous one, so multiple ControlNets can be applied in sequence.

Outputs

Output Name	Description	Data Type
`positive`	The modified positive conditioning with ControlNet guidance applied	CONDITIONING
`negative`	The modified negative conditioning with ControlNet guidance applied	CONDITIONING

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Inputs

Outputs