Skip to main content
The RepeatLatentBatch node is designed to replicate a given batch of latent representations a specified number of times, potentially including additional data like noise masks and batch indices. This functionality is crucial for operations that require multiple instances of the same latent data, such as data augmentation or specific generative tasks.

Inputs

ParameterDescriptionData Type
samplesThe ‘samples’ parameter represents the latent representations to be replicated. It is essential for defining the data that will undergo repetition.LATENT
amountThe ‘amount’ parameter specifies the number of times the input samples should be repeated. It directly influences the size of the output batch, thereby affecting the computational load and the diversity of the generated data.INT

Outputs

ParameterDescriptionData Type
latentThe output is a modified version of the input latent representations, replicated according to the specified ‘amount’. It may include replicated noise masks and adjusted batch indices, if applicable.LATENT
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub