SD_4XUpscale_Conditioning - ComfyUI Built-in Node Documentation

Complete documentation for the SD_4XUpscale_Conditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

The SD_4XUpscale_Conditioning node prepares conditioning data for upscaling images using diffusion models. It takes input images and conditioning data, then applies scaling and noise augmentation to create modified conditioning that guides the upscaling process. The node outputs both positive and negative conditioning along with latent representations for the upscaled dimensions.

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	Scaling factor applied to the input images (default: 4.0)	FLOAT	No	0.0 - 10.0
noise_augmentation	Amount of noise to add during the upscaling process (default: 0.0)	FLOAT	No	0.0 - 1.0

Outputs

Output Name	Description	Data Type
positive	Modified positive conditioning with upscaling information applied	CONDITIONING
negative	Modified negative conditioning with upscaling information applied	CONDITIONING
latent	Empty latent representation matching the upscaled dimensions	LATENT

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

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