wtf is jebari-imagebatch?

Jebari-ImageBatch adds a set of custom nodes to ComfyUI, a visual tool people use to build AI image generation workflows. These nodes make it easier to feed many images into a workflow at once instead of loading them one at a time. There are three nodes included. The Image Batch (Upload) node lets you drag and drop or browse for multiple images directly on the node, showing them as a thumbnail grid where you can remove individual images or paste from your clipboard. The Image Batch (Inputs) node lets you connect up to ten separate image inputs together. The Image Batch (From Folder) node points at a folder on the computer running ComfyUI and works through every image inside it. Using it is straightforward. You load your images through whichever node fits your situation, then set ComfyUI's batch count, found in the toolbar next to the Run button, to match the number of images you have, and click Run once. ComfyUI then queues one job per image and works through them in order automatically, looping back to the first image after the last one so the process never stops or throws an error on its own. If you only want to process some of the images rather than all of them, the Upload node has a selection field where you can type something like 1,3,5-7 to pick specific ones, or leave it blank to use everything. Installing it means cloning the project into ComfyUI's custom_nodes folder with git, then restarting ComfyUI and refreshing the browser tab. It relies on the same Python tools ComfyUI already needs, such as torch, numpy, and Pillow, so there is nothing extra to install beyond a working ComfyUI setup.