SD_4XUpscale_Conditioning - ComfyUI Built-in Node Documentation

The SD4XUpscaleConditioning node prepares conditioning data for upscaling images with diffusion models.

The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling images with diffusion models. It scales the input images by a chosen ratio, adds optional noise augmentation, and returns modified positive and negative conditioning together with an empty latent for the upscaled size.

Inputs

Parameter	Description	Data Type	Required	Range
images	Input images to be upscaled.	IMAGE	Yes	-
positive	Positive conditioning data that guides the generation toward desired content.	CONDITIONING	Yes	-
negative	Negative conditioning data that steers the generation away from unwanted content.	CONDITIONING	Yes	-
scale_ratio	Multiplier applied to the input image dimensions when preparing the upscaled conditioning and latent (default: 4.0).	FLOAT	Yes	0.0 - 10.0 (step 0.01)
noise_augmentation	Amount of noise to add during the upscaling process (default: 0.0).	FLOAT	Yes	0.0 - 1.0 (step 0.001)

Note: noise_augmentation is an advanced parameter, shown in the node interface under the “Advanced” toggle.

Outputs

Output Name	Description	Data Type
positive	Modified positive conditioning with the scaled image data and noise augmentation settings applied.	CONDITIONING
negative	Modified negative conditioning with the scaled image data and noise augmentation settings applied.	CONDITIONING
latent	Empty latent representation matching the upscaled dimensions.	LATENT

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