QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation

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

Inputs

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

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.

Outputs

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

​Inputs

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Inputs

Outputs