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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe 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
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
image | IMAGE | Yes | - | The input image to be encoded into latent space |
vae | VAE | Yes | - | The VAE model used for encoding the image |
compression | INT | No | 4-128 | The 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) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
stage_c | LATENT | The encoded latent representation for stage C of the Stable Cascade model |
stage_b | LATENT | A placeholder latent representation for stage B. Currently returns a zero-filled tensor with dimensions calculated from the input image size. |
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