Kforge Labs Workflows
These workflows are bundled into the Kforge Labs sidebar as starter demos.
| Workflow | What it demonstrates |
|---|---|
Easy Image Batch - Select and Rebuild.json |
Selecting sparse frames from a batch, then rebuilding sequence spacing with Easy Image Batch. |
LOOP Demo.json |
Queue-driven per-frame processing with Koolook_LoopStatus. |
Requirements
Both workflows need Kforge Labs / Koolook and ComfyUI core nodes. The demo can still open when optional node packs are missing, but those nodes must be installed before the workflow can run end-to-end.
| Workflow | Extra node packs |
|---|---|
| Easy Image Batch - Select and Rebuild | ComfyUI Custom Scripts (`ShowText |
| LOOP Demo | ComfyUI Easy Use (easy int), ComfyUI-KJNodes (GetImageSizeAndCount), ComfyUI-HQ-Image-Save (LoadEXR, SaveEXRFrames), ComfyUI-RMBG (RMBG) |
The large text labels in both workflows use rgthree label nodes. They are visual annotations only; missing labels do not change the core demo logic.
The sidebar seed lives in ../../../web/workflow_defaults.json
under Kforge Labs Workflows.
Before running LOOP Demo, replace CHANGE_ME_OUTPUT_FOLDER in the Easy AI
Pipeline node with a writable local output folder, then enable
auto_queue_next on Koolook_LoopStatus if you want it to queue the remaining
frames automatically. The bundled copy leaves auto-queue disabled so the first
load cannot write to a placeholder path by accident.