ComfyUI-ImageBatchUtils

ImageBatchCount

ImageBatchCount Returns the batch size as an INT. Useful for conditional logic or debugging.

Image/Batch · 1 input · 0 parameters · 1 output

ImageBatchPick

ImageBatchPick Pick a single image from a batch by index. Supports negative indexing (e.g., -1 for the last image).

Image/Batch · 1 input · 1 parameter · 1 output

ImageBatchSlice

ImageBatchSlice Slice an image batch by start/end indices (like Python slicing). Supports negative indexing.

Image/Batch · 1 input · 2 parameters · 1 output

ImageBatchUnpack

Unpack an image batch into individual images. Takes a single IMAGE batch of shape [B, H, W, C] and outputs B separate IMAGE outputs. Useful for processing each image in a batch independently through downstream nodes. If the batch has fewer images than the max output slots, the extra outputs will be empty tensors. Supports INPUT_IS_LIST: when fed from a node with OUTPUT_IS_LIST=True (e.g. SEGSPreview), each list item is extracted directly — no concatenation or padding, so each image keeps its original size.

Image/Batch · 1 input · 0 parameters · 1 output

ImageBatchUnpackDynamic

Unpack an image batch into a list of individual images. Unlike ImageBatchUnpack (which has 4 fixed output slots), this node outputs a LIST of images, so it works with any batch size without wasted slots. Output: LIST[IMAGE] where each item is [1, H, W, C]. Each image keeps its original spatial size.

Image/Batch · 1 input · 0 parameters · 1 output

MaskBatchUnpackDynamic

Unpack a mask batch into a list of individual masks. Input: MASK [B, H, W] → Output: LIST of [1, H, W] items. Each mask keeps its original spatial size.

Mask/Batch · 1 input · 0 parameters · 1 output