Rebatch Latents
Documentation
- Class name:
RebatchLatents - Category:
latent/batch - Output node:
False
The RebatchLatents node is designed to reorganize a batch of latent representations into a new batch configuration, based on a specified batch size. It ensures that the latent samples are grouped appropriately, handling variations in dimensions and sizes, to facilitate further processing or model inference.
Input types
| Parameter | Comfy dtype | Description |
|---|---|---|
latents | LATENT | The ‘latents’ parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch. |
batch_size | INT | The ‘batch_size’ parameter specifies the desired number of samples per batch in the output. It directly influences the grouping and division of the input latents into new batches. |
Output types
| Parameter | Comfy dtype | Description |
|---|---|---|
latent | LATENT | The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis. |