SD_4X Upscale Conditioning

Documentation

Class name: SD_4XUpscale_Conditioning
Category: conditioning/upscale_diffusion
Output node: False

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.

Input types

Parameter	Comfy dtype	Description
`images`	`IMAGE`	The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images.
`positive`	`CONDITIONING`	Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images.
`negative`	`CONDITIONING`	Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features.
`scale_ratio`	`FLOAT`	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.
`noise_augmentation`	`FLOAT`	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.

Output types

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