Sd4xupscaleConditioning - ComfyUI Built-in Node Documentation

This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output.

This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale images while allowing for the adjustment of scale ratio and noise augmentation to fine-tune the enhancement process.

Inputs

Parameter	Description	Comfy dtype
images	The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images.	IMAGE
positive	Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images.	CONDITIONING
negative	Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features.	CONDITIONING
scale_ratio	Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity.	FLOAT
noise_augmentation	Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images.	FLOAT

Outputs

Parameter	Description	Data Type
positive	The refined positive conditioning elements resulting from the upscale process.	CONDITIONING
negative	The refined negative conditioning elements resulting from the upscale process.	CONDITIONING
latent	A latent representation generated during the upscale process, which can be utilized in further processing or model training.	LATENT

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