This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe LatentConcat node combines two latent samples along a specified dimension. It takes two latent inputs and concatenates them together along the chosen axis (x, y, or t dimension). The node automatically adjusts the batch size of the second input to match the first input before performing the concatenation operation.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
samples1 | LATENT | Yes | - | The first latent sample to concatenate |
samples2 | LATENT | Yes | - | The second latent sample to concatenate |
dim | COMBO | Yes | "x""-x""y""-y""t""-t" | The dimension along which to concatenate the latent samples. Positive values concatenate samples1 before samples2, negative values concatenate samples2 before samples1 |
samples2) is automatically adjusted to match the batch size of the first latent sample (samples1) before concatenation.
Outputs
| Output Name | Data Type | Description |
|---|---|---|
output | LATENT | The concatenated latent samples resulting from combining the two input samples along the specified dimension |