Deno Custom Nodes for ComfyUI
A new node pack adds drag-and-drop batch loading, megapixel-based resizing, and sequencing tools for stable diffusion workflows.
Developer Deno2026 has launched a new custom node pack for ComfyUI, the node-based interface for Stable Diffusion, aimed at making practical production workflows more efficient. The 'Deno Custom Nodes' pack focuses on three key areas: resolution utility, batch image input, and sequencing/timing. The standout 'Multi Image Loader' node allows users to drag, reorder, and paste large sets of images directly into a workflow with a fixed-height, scrollable gallery, a significant upgrade for batch processing tasks.
The 'Resize Box' node introduces a megapixel-based approach to resolution sizing, offering controls to ensure dimensions are divisible by common numbers like 8, 16, or 32—a critical detail for model compatibility. For complex multi-stage generations, the 'LTX Sequencer' node automates the synchronization of image counts and control strengths across a sequence. The developer credits WhatDreamsCost for inspiration on some nodes but emphasizes this release focuses on improved UX, stability, and real-world convenience, with features like more responsive drag reordering and cleaner UI handling for repeated use.
Installation is straightforward via the ComfyUI Manager by searching for 'Deno Custom Nodes' or through a manual Git clone. This release highlights the vibrant ecosystem of community-built tools that extend ComfyUI's capabilities beyond basic image generation, catering specifically to users who need reliable, repeatable processes for professional or high-volume creative work.
- Adds a 'Multi Image Loader' node with drag-and-drop, paste support, and reordering for large batch workflows.
- Introduces a 'Resize Box' utility with megapixel-based sizing and divisible-by-8/16/32 controls for model compatibility.
- Includes an 'LTX Sequencer' node to automate multi-image guide sequencing and strength sync for complex generations.
Why It Matters
It solves key production bottlenecks in ComfyUI, making batch processing and complex multi-stage workflows significantly more manageable for professionals.