QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation

QwenImageDiffsynthControlnet applies a diffusion synthesis control network patch to a base model. It uses an input image and an optional mask to guide the model’s generation process with adjustable strength, producing a patched model that incorporates the control network’s influence for more controlled image synthesis.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The base model to be patched with the control network	MODEL	Yes	-
`model_patch`	The control network patch model to apply to the base model	MODEL_PATCH	Yes	-
`vae`	The VAE (Variational Autoencoder) used in the diffusion process	VAE	Yes	-
`image`	The input image used to guide the control network. Only the first three color channels (RGB) are used; any additional channels are discarded	IMAGE	Yes	-
`strength`	The strength of the control network influence (default: 1.0)	FLOAT	Yes	-10.0 to 10.0
`mask`	Optional mask that defines areas where the control network should be applied. The mask is inverted internally before use	MASK	No	-

Note: When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. The node uses different internal processing methods depending on whether the model patch is a ZImage Control type or a standard DiffSynth control network. This node is flagged as experimental.

Outputs

Output Name	Description	Data Type
`model`	The modified model with the diffusion synthesis control network patch applied	MODEL

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 56739c098933cb70d3bcb8d6b251da33e7879b464b2e8a7296da085aefc15698

​Inputs

​Outputs

Inputs

Outputs