[Release] ComfyUI Image Conveyor — sequential drag-and-drop image queue node
New node lets users drag-and-drop images directly into ComfyUI for predictable, visible queue processing.
Developer marres has released ComfyUI Image Conveyor, a new custom node that fundamentally changes how images are fed into AI image generation workflows within ComfyUI. The tool addresses a specific gap in existing batch loaders, which are often oriented around one-shot folder iteration. Instead, Image Conveyor creates a visible, interactive queue directly on the node canvas. Users can drag-and-drop any number of images into the node, where they appear as thumbnails with clear status indicators (pending, queued, or processed), and are consumed one per prompt execution in a predictable, sequential order.
The node is designed for reliability and manual intervention. It reserves the next pending item when multiple prompt runs are queued, but if a prompt fails before the loader executes, the item remains queued and can be manually cleared. It features bulk actions, manual drag-and-drop reordering, and multiple sorting options. Technically, it's built using ComfyUI's supported frontend rendering path (VueNodes-compatible), making it more stable than ad-hoc canvas hacks. Outputs include the image, mask, path, index, and a count of remaining pending items, enabling its use in complex, state-aware workflows beyond simple loading.
- Enables drag-and-drop image queueing with visible thumbnails and status (pending/queued/processed) directly in the ComfyUI graph.
- Processes images sequentially (one per prompt run) with manual reorder, bulk actions, and graceful handling of failed executions.
- Built using ComfyUI's supported VueNodes frontend path for stability, outputs image data and metadata for queue-driven workflows.
Why It Matters
It replaces clunky folder-based batch processing with a visual, controllable queue, streamlining complex image generation and editing pipelines for professionals.