SUPIRApply - ComfyUI Built-in Node Documentation

The SUPIRApply node applies a SUPIR model patch to a diffusion model. It uses the patch to modify the model’s behavior, allowing it to incorporate guidance from an input image during the sampling process. The node also provides controls for adjusting the strength of this guidance over time and includes an optional feature to help maintain fidelity to the original input.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The base diffusion model to which the SUPIR patch will be applied.	MODEL	Yes	-
`model_patch`	The SUPIR model patch containing the weights and configuration for modifying the model.	MODELPATCH	Yes	-
`vae`	The VAE (Variational Autoencoder) used for encoding the input image into a latent representation.	VAE	Yes	-
`image`	The input image used to guide the generation process. Only the first three color channels (RGB) are used.	IMAGE	Yes	-
`strength_start`	Control strength at the start of sampling (high sigma). The influence of the image guidance begins at this value. (default: 1.0)	FLOAT	Yes	0.0 - 10.0
`strength_end`	Control strength at the end of sampling (low sigma). Linearly interpolated from start. The influence of the image guidance ends at this value. (default: 1.0)	FLOAT	Yes	0.0 - 10.0
`restore_cfg`	Pulls denoised output toward the input latent. Higher = stronger fidelity to input. 0 to disable. (default: 4.0)	FLOAT	Yes	0.0 - 20.0
`restore_cfg_s_tmin`	Sigma threshold below which `restore_cfg` is disabled. (default: 0.05)	FLOAT	Yes	0.0 - 1.0

Note: The image input is processed to extract only the RGB channels. If an image with an alpha channel is provided, the alpha channel is ignored. Note: restore_cfg only takes effect when set to a value greater than 0. Setting it to 0 disables the restore post-processing entirely. When active, the correction is applied only while the current sigma value is above restore_cfg_s_tmin. Note: This node is marked as experimental in ComfyUI.

Outputs

Output Name	Description	Data Type
`model`	The diffusion model with the SUPIR patch applied and any additional post-CFG functions configured.	MODEL

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​Inputs

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Inputs

Outputs