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. 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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Outputs