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The StableCascade_StageC_VAEEncode node processes an input image through a VAE encoder to generate latent representations for the Stable Cascade model. It first resizes the image based on a compression factor and the VAE’s downscale ratio, then encodes the resized image. The node outputs two latent tensors: one for stage C (the actual encoded result) and one for stage B (a zero-filled placeholder).

Inputs

ParameterDescriptionData TypeRequiredRange
imageThe input image to be encoded into latent spaceIMAGEYes-
vaeThe VAE model used for encoding the imageVAEYes-
compressionThe compression factor applied to the image before encoding. The image dimensions are divided by this value, then multiplied by the VAE’s downscale ratio. (default: 42)INTNo4-128

Outputs

Output NameDescriptionData Type
stage_cThe encoded latent representation for stage C of the Stable Cascade modelLATENT
stage_bA placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size.LATENT
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