ResolutionBucket - ComfyUI Built-in Node Documentation

This node organizes a list of latent images and their corresponding conditioning data by their resolution. It groups together items that share the same height and width, creating separate batches for each unique resolution. This process is useful for preparing data for efficient training, as it allows models to process multiple items of the same size together.

Inputs

Parameter	Description	Data Type	Required	Range
`latents`	List of latent dicts to bucket by resolution.	LATENT	Yes	N/A
`conditioning`	List of conditioning lists (must match latents length).	CONDITIONING	Yes	N/A

Note: The number of items in the latents list must exactly match the number of items in the conditioning list. Each latent dictionary can contain a batch of samples, and the corresponding conditioning list must contain a matching number of conditioning items for that batch.

Outputs

Output Name	Description	Data Type
`latents`	List of batched latent dicts, one per resolution bucket.	LATENT
`conditioning`	List of condition lists, one per resolution bucket.	CONDITIONING

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Inputs

Outputs