Extensions/ComfyUI-ZipBatchLoader
ComfyUI Extension

ComfyUI-ZipBatchLoader

A ComfyUI custom node to load images from a ZIP archive as modern batched IMAGE and MASK objects.

By Charlweed·Created 3 months ago·Updated 3 months ago· 1
Charlweed/ComfyUI-ZipBatchLoader
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Updated3 months ago
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ComfyUI ZIP Batch Loader

Comfy Registry

A custom ComfyUI node that loads images from a ZIP archive and outputs them as modern batched IMAGE and MASK objects. This node reads the archive in-memory, sorts the images alphabetically by filename, and stacks them into standard 4D tensors, maintaining a predictable order for batch processing.

Features

  • Direct ZIP Loading: Reads .zip files from the ComfyUI input directory without manual extraction.
  • Alphabetical Sorting: Ensures images are loaded in a predictable order based on filenames (e.g., 000_image.png, 010_image.png).
  • Batched Outputs: Outputs standard ComfyUI 4D tensors for both RGB images and Grayscale masks.
  • Dimension Validation: Configurable behavior for handling images of varying sizes within the same archive.

Installation

Via Comfy CLI (Recommended)

If you have the Comfy CLI installed, you can install this node by running:

comfy node install ComfyUI-ZipBatchLoader

Via ComfyUI Manager

  1. Open the Manager in ComfyUI.
  2. Click on Custom Nodes Manager.
  3. Search for ZipBatchLoader or ComfyUI-ZipBatchLoader.
  4. Click Install.

Manual Installation

  1. Navigate to your ComfyUI custom_nodes directory.
  2. Clone this repository:
    git clone https://github.com/Charlweed/ComfyUI-ZipBatchLoader.git
    
  3. Restart ComfyUI.

Usage

The node will appear in the ComfyUI node browser under Load Image Batch From Zip. Place your .zip archives into the ComfyUI input directory.

Inputs

  • zip_file: Select a .zip file from the ComfyUI input directory.
  • heterogeneous_dimensions (Default: False):
    • If False, all images in the ZIP must have the exact same dimensions. An error is thrown if a mismatch occurs.
    • If True, images that do not match the dimensions of the first image in the archive will be skipped, and a warning will be logged.

Outputs

  • IMAGE: Batched tensor of RGB data [B, H, W, 3].
  • MASK: Batched tensor of Mask/Grayscale data [B, H, W].
  • COUNT: The total number of images successfully loaded in the batch.