Latent Batch Seed Behavior
Last updated
Last updated
Class name: LatentBatchSeedBehavior
Category: latent/advanced
Output node: False
The LatentBatchSeedBehavior node is designed to modify the seed behavior of a batch of latent samples. It allows for either randomizing or fixing the seed across the batch, thereby influencing the generation process by either introducing variability or maintaining consistency in the generated outputs.
samples
LATENT
The ‘samples’ parameter represents the batch of latent samples to be processed. Its modification depends on the seed behavior chosen, affecting the consistency or variability of the generated outputs.
seed_behavior
COMBO[STRING]
The ‘seed_behavior’ parameter dictates whether the seed for the batch of latent samples should be randomized or fixed. This choice significantly impacts the generation process by either introducing variability or ensuring consistency across the batch.
latent
LATENT
The output is a modified version of the input latent samples, with adjustments made based on the specified seed behavior. It either maintains or alters the batch index to reflect the chosen seed behavior.