Skip to main content
The StableCascade_SuperResolutionControlnet node prepares inputs for Stable Cascade super-resolution processing. It takes an input image and encodes it using a VAE to create controlnet input, while also generating placeholder latent representations for stage C and stage B of the Stable Cascade pipeline.

Inputs

ParameterDescriptionData TypeRequiredRange
imageThe input image to be processed for super-resolutionIMAGEYes-
vaeThe VAE model used to encode the input imageVAEYes-

Outputs

Output NameDescriptionData Type
controlnet_inputThe encoded image representation suitable for controlnet inputIMAGE
stage_cPlaceholder latent representation for stage C of Stable Cascade processing, with dimensions based on the input image size divided by 16LATENT
stage_bPlaceholder latent representation for stage B of Stable Cascade processing, with dimensions based on the input image size divided by 2LATENT
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 6872eb8610355871ec05c3dacc63ac86d2dc393819f283d256650878a54b7522