Deno Custom Nodes

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Practical ComfyUI custom nodes focused on fast real-world workflow improvements. This repo is built for global creators and production workflows, with a focus on practical UX and reliable daily use.

Most Deno nodes include a small green i button in the top-right corner for quick node info without leaving the ComfyUI canvas. The pack also includes lightweight frontend/browser helpers such as DENO Visual Fold, the no-install Video Compare page, and the Video to GIF/WebP converter page.

Release Notes

Public updates are tracked in CHANGELOG.md. GitHub Releases should use the same short format, with optional notes hidden in collapsible sections.

Web Tools

Run these directly in your browser:

• DENO Video Compare - compare two rendered videos with slider, side-by-side, difference, and toggle views.
• DENO Video to GIF/WebP - trim, crop, resize, and export short clips as GIF or smaller WebP files.

DENO Visual Fold

DENO Visual Fold is a visual-only cleanup helper for large ComfyUI graphs. It is enabled automatically when the latest Deno Custom Nodes package is installed or updated.

Select two or more nodes and a green Fold button appears near the top-right of the canvas. Click it to collapse the selected nodes into one compact visual group; use Unfold to restore them.

You can also select one normal ComfyUI group and use Fold Group to collapse the nodes inside that group while keeping the workflow logic untouched. When two or more groups are selected, the same toolbar adds Align actions for left/right/top/bottom alignment and horizontal/vertical spacing.

This is different from ComfyUI Subgraph. Subgraph moves nodes into a child graph, which can be powerful, but it may not be ideal when a workflow depends on keeping Get / Set nodes or parent-child graph structure visible in the main graph. Visual Fold is meant for simple visual organization only. It does not turn the selected nodes into a subgraph or change the workflow logic.

Included Nodes

(Deno) Ideogram Director

Visual Ideogram 4 prompt builder for structured JSON captions and bbox layout work.

Main features:

• draw and edit bbox regions directly on the ComfyUI canvas
• import JSON prompts from a Local LLM Loader or other STRING source
• ask before replacing an existing board, or switch to always replace
• reject malformed JSON clearly instead of passing broken prompt text downstream
• style and layout preset galleries with lightweight preview thumbnails
• optional Translate On/Off helper that outputs model-ready English while preserving literal TEXT box words such as signs, logos, and headlines
• outputs: prompt, width, height, seed, bboxes

(Deno) Resize Box

Resolution helper and image resize node for ComfyUI.

Main features:

• Preset Ratio and Manual Input modes
• common ratio presets
• megapixel-based size calculation
• divisible_by alignment
• Center Crop (Fill) and Fit (Letterbox/Pillarbox) resize modes
• lanczos default interpolation
• live ratio preview inside the node
• outputs: image, width, height

(Deno) Multi Image Loader

Minor-upgrade multi-image loader designed for batch guide workflows.

Credit: Inspired by the original workflow ideas from WhatDreamsCost, then adapted and refined for the Deno workflow style.

Main features:

• scrollable fixed-height gallery instead of endlessly growing node height
• drag reorder with stable placeholder insertion
• upload button, drag-and-drop upload, and paste image support
• Input Folder browser for reusing existing ComfyUI input images
• input subfolder browsing with folder tiles, double-click navigation, and a Parent button
• nested input images can be added while preserving their ComfyUI subfolder paths
• newest-first input image sorting based on file modified time
• responsive input-folder thumbnails for smoother browsing with many images
• Keep Input Ratio, Preset Ratio, or Manual Input size mode
• ratio preset, megapixels, divisible-by sizing, or direct width/height control
• resize method and interpolation selection
• outputs: multi_output, width, height
• optional crop or fit resizing during export

(Deno) Advanced Image Source Loader

Advanced image source loader for workflows that need external folders, local file paths, web image URLs, and mixed-size image-list output.

This is a separate advanced node. The standard (Deno) Multi Image Loader remains the simpler recommended option for normal ComfyUI input folder workflows.

Main features:

• keeps the familiar Deno image-loader gallery workflow
• supports existing ComfyUI input folder browsing
• supports external local folder paths outside the ComfyUI input folder
• supports folder tiles, nested-folder browsing, and a Parent button
• supports URL / Path input for web image URLs, absolute local image paths, and local folder paths
• supports upload, drag-and-drop, paste, and browser folder upload where the browser allows it
• includes a visible Paste button plus normal Ctrl+V image paste
• click thumbnails to disable/enable sources without deleting them
• drag thumbnail cards to reorder output sequence
• the gallery expands vertically when the ComfyUI node is resized
• thumbnails use a masonry-style flow so mixed portrait/landscape references are easier to scan
• Load Path reads an external folder directly without first importing it into ComfyUI input
• Upload Folder... is an optional browser upload/import helper, not required for external path loading
• recursive_folders option for loading nested folder images
• Keep Input Ratio, Preset Ratio, or Manual Input size mode
• ratio preset, megapixels, divisible-by sizing, or direct width/height control
• resize method and interpolation selection, including center, top, or bottom crop fill modes
• optional images input can chain an upstream image batch/list into the same output stream
• outputs a resized batch image tensor for normal batch workflows
• outputs image_list for workflows that need per-image list handling
• Original Size list mode can preserve mixed source resolutions in image_list
• Match Batch Size list mode makes image_list match the resized batch dimensions
• outputs: batch, image_list, width, height, image_count

(Deno) Image Compare

Visual A/B comparison node for quickly checking two images on the ComfyUI canvas.

Main features:

• compares image_a and image_b directly inside the node
• modes: Slider, Side by Side, Difference, and Toggle
• hover-move slider interaction for fast before/after inspection
• visible A/B labels and a Swap button for checking either direction
• resizes the internal preview area with the node so portrait and landscape images stay readable
• visual-only node with no output connection, keeping the graph cleaner when the comparison is just for inspection

(Deno) Video Compare

Visual A/B comparison node for videos, built for checking upscale and FPS-interpolation results directly on the ComfyUI canvas. All compositing is pure tensor work — no external encoder. The in-node player draws a downscaled WebP frame sequence on a <canvas> on a virtual clock (so A/B stay frame-exact) and plays audio via WebAudio; the files are written to ComfyUI's temp dir and served by the existing /view route, then auto-cleared on restart.

Main features:

• video_a / video_b (IMAGE batches) and optional audio_a / audio_b (AUDIO, e.g. from VHS Load Video)
• modes: Slider, Side by Side, Difference, Toggle (freeze-frame A/B flip), plus Swap
• hover-move slider, click = play/pause, scrub bar, frame step, speed, loop; hover the preview to hear the selected side
• shared timeline: both sides play over the same duration, so an upscale (same frame count) stays frame-locked while an FPS-interpolation result (e.g. RIFE 24 to 48) just looks smoother at the same length
• node resizes to the clip aspect; wheel and middle-drag are passed to the ComfyUI canvas
• 🏷 Output Badges toggle: optionally adds A/B + resolution badges to the saved output (off by default; the in-node preview always shows them)
• comparison: full-resolution lossless IMAGE output of the chosen mode (Slider / Side by Side / Difference / Toggle), ready to wire into a save/encode node such as VHS Video Combine

Too heavy to run the node? Use the no-install browser tool: https://deno2026.github.io/comfyui-deno-custom-nodes/video-compare/ (also linked at the bottom of the node).

(Deno) Video Preview

Drop-in, full-resolution preview for checking real encoded output at any point in a graph. It encodes the actual H.264 video at the original resolution in-process with PyAV (no external process is launched) using +faststart so the browser plays it inline reliably, then passes the images straight through — so you can insert it inline at multiple sampling points without branching the wire.

Main features:

• images (IMAGE batch) in, images straight-through out, frame_rate, and an optional audio input that is muxed into the preview as AAC (tolerant of dict / object / (waveform, sr) AUDIO and [C,N] / [N,C] shapes; if audio can't be used it is logged and the video still previews)
• clean auto-looping in-node player like the VHS preview: no control chrome, hover to hear audio, click = play/pause, a Full screen button, and the wheel is passed through to the ComfyUI canvas
• a compact top-left info badge shows the current preview's resolution, FPS, frame count, and duration
• the node fits the clip aspect and stays fitted as it is resized
• each node reuses one temp file, overwritten every run, so heavy iteration never piles up temp storage
• needs PyAV (pip install av); if it is missing the node shows a clear one-line install hint instead of failing the graph

(Deno) RTX Video Super Resolution

Optional Windows/NVIDIA RTX Video Super Resolution helper node for users who want to try NVIDIA VFX inside ComfyUI without manually hunting for the right Python environment.

This node is intentionally separate from the core Deno nodes. It only imports NVIDIA VFX during upscale execution, so normal Deno node installs do not require NVIDIA VFX. ComfyUI Manager installs the node pack without auto-installing NVIDIA VFX.

Beginner install flow:

1. Install or update deno-custom-nodes, then start ComfyUI.
2. Add (Deno) RTX Video Super Resolution and run it once with an image.
3. If NVIDIA VFX is missing, close every ComfyUI window/process.
4. Click the node's How to install button.
5. Follow the visual web install guide: download the ZIP from that page, move it into ComfyUI\custom_nodes\deno-custom-nodes\tools, extract it there, and run install_rtx_vfx.bat from the extracted installer files inside that tools folder.
6. If the BAT asks Install RTX VFX here?, type Y only when the shown Windows path is inside the ComfyUI app you just closed. If it looks wrong, type N and stop.
7. Wait for the green INSTALL COMPLETE message.
8. Restart ComfyUI completely, then use (Deno) RTX Video Super Resolution again.

For the full beginner-friendly visual walkthrough, open the DENO RTX VFX install page. If a tutorial video tells you to open the tools folder after installing from ComfyUI Manager, open tools/OPEN_INSTALL_GUIDE.txt; it points to the same current install page.

Official NVIDIA references:

• Video Super Resolution filter
• NVIDIA VFX Python bindings
• VideoSuperRes Python API

Mode guide:

If your image is...	Use
small, low-res, or compressed	VSR
already clean, but needs a larger sharper output	High Bitrate
noisy or grainy	Denoise
soft, out of focus, or mildly blurred	Deblur

Main features:

• uses NVIDIA's official nvidia-vfx / nvvfx.VideoSuperRes package path
• links from the node UI to NVIDIA's official Video Super Resolution documentation
• shows a compact RTX panel with effect buttons, a separate quality selector, a mode-coach line, and only the resize controls that apply to the selected effect
• single-pass and 2-pass RTX panels pass mouse-wheel scrolling through to the ComfyUI canvas, so normal canvas zoom still works while the pointer is over the node
• installer targets the Python used by the current ComfyUI install
• installer refuses to continue if ComfyUI is still running with that Python
• installer asks before installing into the detected Python
• installer stops if no NVIDIA GPU is detected unless the user explicitly overrides the check
• installer reinstalls nvidia-vfx cleanly when the user confirms the target Python
• installer first verifies the normal nvvfx package path used by the current ComfyUI Python
• installer uses the ASCII Windows runtime fallback only when the normal nvvfx path fails verification
• node startup prefers the recorded ASCII fallback path only when that fallback was actually selected
• if another NVIDIA VFX native module is already loaded from a conflicting path, the node stops and asks for a full ComfyUI restart instead of trying to reload the native extension
• installer verifies that NVIDIA's VideoSuperRes effect can actually be created after install
• if NVIDIA VFX reports an unsupported runtime feature, the node shows a readable GPU/driver/runtime-path message instead of a raw stack trace
• if NVIDIA Broadcast/NGX VFX DLLs from another RTX node are already loaded, the node reports that native runtime conflict separately from GPU/driver support
• if another Broadcast-based RTX node works while DENO fails, treat it as a native runtime conflict, not proof that the DENO install is broken
• keeps the installer BAT and ZIP on GitHub instead of inside the Manager package, while the node UI provides a How to install button that opens the visual web install page plus a Copy steps helper
• keeps a small tools/OPEN_INSTALL_GUIDE.txt file in Manager installs so the tools folder still exists for users following older tutorial videos
• exposes four clear effect buttons: Video SR, High Bitrate, Denoise, and Deblur
• shows a compact mode coach line that explains the selected effect in plain language
• keeps Low, Medium, High, and Ultra quality as a separate selector
• for Video SR and High Bitrate, supports Scale, Keep Ratio, Manual, and Preset Ratio resize choices
• Keep Ratio and Preset Ratio use target megapixels; Manual uses width and height
• exposes divisible_by alignment for resizable modes, with 1 as the default so standard video sizes such as 1920x1080 stay exact
• higher alignment values such as 32 remain available when a workflow specifically needs forced multiple-of-N output
• shows Center Crop (Fill) / Fit (Letterbox/Pillarbox) when a manual, preset-ratio, or aligned keep-ratio resize can change aspect ratio
• Denoise and Deblur keep the original size and hide resize controls, matching NVIDIA's same-size VSR modes
• shows resize controls only when they apply to the selected effect
• Easy Upscale outputs: images

(Deno) RTX Video Super Resolution (2 Pass)

Two-pass RTX finishing node for full video workflows. It can run an optional same-size Denoise or Deblur pass first, then an optional VSR or High Bitrate upscale pass.

Example workflow:

• RTX 2-pass upscale workflow

Main features:

• includes both Low System Memory and High System Memory lanes in the example workflow
• the low-memory lane uses VHS Meta Batch so longer videos can be processed in smaller frame chunks
• uses VHS_VideoInfoSource to carry the source FPS into VHS_VideoCombine
• preserves source audio through the VHS load/combine path
• useful when finishing actual encoded video outputs, not just testing a single image batch
• outputs: images

(Deno) LTX Sequencer

LTX guide sequencer tuned for multi-image workflows.

Credit: Inspired by WhatDreamsCost's LTX workflow approach, with Deno-side adjustments focused on day-to-day usability.

Main features:

• works with the batch output from (Deno) Multi Image Loader
• auto-fills num_images from the connected loader when possible
• keeps the existing sync-style workflow
• allows only strength values to break out into manual control when needed
• bypass switch passes positive, negative, and latent through unchanged for quick A/B tests

(Deno) LTX Model Loader

One compact loader for the common LTX 2.3 model-loading patterns.

Main features:

• Checkpoint Style, KJ Style, and GGUF Style modes
• outputs: model, clip, video_vae, audio_vae
• uses ComfyUI's built-in checkpoint / diffusion / DualCLIP loading paths where possible
• uses KJNodes VAELoaderKJ for split video/audio VAE workflows
• uses ComfyUI-GGUF UNet loading for GGUF workflows
• includes clearer dependency errors and an audio VAE compatibility fallback for mixed ComfyUI/KJNodes environments

(Deno) Easy Model Download Helper

Preset-based setup helper for recommended model file sets. The first built-in preset is the LTX 2.3 8GB VRAM GGUF starter set.

Main features:

• opens official model links in the browser instead of downloading files in Python
• shows detected ComfyUI model roots and lets users copy the selected root
• supports saved creator presets inside the workflow and restores them from browser storage after a page reload
• supports Hugging Face direct links and Civitai page/download links without Python-side network requests
• checks ComfyUI-registered model folders, including custom folder names from extra_model_paths
• can find matching files inside model subfolders when users organize large model libraries by project or model family
• shows target ComfyUI model subfolders so viewers know exactly where files should go

Creator preset link guide:

• Hugging Face: right-click the small download icon next to the target file, choose Copy link address, then paste that direct file URL into the preset URL field.
• Civitai: copy the model page URL from the browser address bar, paste it into the preset URL field, then press the Civitai button in the editor to convert it to a direct browser download link. If the filename is not visible in the URL, enter the downloaded filename manually.
• For Civitai pages, do not copy the blue Download button link unless you intentionally want to provide a direct API download URL.
• File name is used only for the target-path check. It should match the downloaded file on disk, especially for Civitai/API links.

(Deno) LTX Multi LoRA Loader

Power-LoRA-style multi LoRA loader for LTX workflows.

Main features:

• add multiple LoRAs in one compact node
• per-slot enable toggle
• per-slot strength, video, and audio strength controls
• per-slot trigger word and LoRA note editor
• copy saved trigger words from the LoRA row
• outputs patched model and clip
• designed to stay close to the familiar Power LoRA Loader workflow while adding LTX-friendly A/V controls and lightweight LoRA reference notes

(Deno) LTX Prompt Guide

Prompt helper that combines LTX prompt encoding, optional negative prompt handling, built-in LTX conditioning, and dialogue-length planning.

Main features:

• positive prompt text encoding
• optional collapsible negative prompt
• built-in LTX conditioning with frame_rate
• estimates minimum video length from quoted dialogue
• supports Auto, Korean, English, Japanese, and Chinese dialogue estimates
• outputs: positive, negative, frame_rate

(Deno) Bernini Prompt Guide

KJ-style Bernini prompt helper that combines positive and negative prompt encoding into one beginner-friendly node.

Main features:

• System Prompt selector with readable modes such as Text to Video, Image to Video, and Reference Video Edit
• shows the active system prompt prefix directly on the top of the node
• writes prompts in instruction style, for example Replace the jacket with the shirt from image0. Keep the camera motion, background, lighting, and shadows unchanged.
• reference modes automatically add a short image0, image1, image2 naming hint internally
• collapsible negative prompt section
• negative presets fill the visible negative prompt box; edit that box directly to change the final encoded negative prompt
• outputs: positive, negative

Note: this node prepares text conditioning only. Bernini visual conditioning still requires a ComfyUI/KJ backend that supports Bernini context latents. While that backend support is still a draft ComfyUI PR, use tools/DENO_Bernini_Preview_Backend_Update.bat only on a copied/test portable ComfyUI folder.

(Deno) Local LLM Loader and (Deno) Local LLM Reviewer

Local LLM workflow helpers for calling models that are already running on your PC and using text reviews to control what gets saved.

Main features:

• call local Ollama or LM Studio models from ComfyUI
• local-only server safety: use 127.0.0.1 or localhost
• refresh provider-specific model lists from the node
• stop a running local LLM request before unloading the model
• connect prompt batches through one node run so the local model can stay loaded until the batch finishes
• optionally attach an IMAGE to a vision-capable local model call
• preview Thinking and Result text directly on the node
• use (Deno) Local LLM Reviewer as a gate before Save nodes
• pass or block IMAGE and AUDIO outputs from a review text result
• approve the current reviewed result once, or rerun the path before the reviewer

Audio note: the Local LLM Loader does not send AUDIO into a local model. The Reviewer can gate AUDIO when another text-generation node, including ComfyUI audio-capable text generation, creates the review text.

Why This Exists

These nodes are built to reduce repeated setup friction in actual ComfyUI production work. The goal is not to chase huge feature lists. The goal is to make the workflows people repeat every day feel faster, cleaner, and easier to teach.

Search Tips

Useful search terms for GitHub, ComfyUI Manager, and this README:

• deno custom nodes
• (deno)
• comfyui custom nodes
• ideogram
• ideogram 4
• ideogram director
• json prompt
• bbox
• bounding boxes
• layout prompt
• rtx super
• rtx video super resolution
• rtx 2 pass
• 2 pass upscale
• low ram workflow
• meta batch
• video super resolution
• nvidia vfx
• nvvfx
• image compare
• video compare
• video preview
• video to gif
• gif webp
• webp converter
• video converter
• ltx
• ltx 2.3
• ltx sequencer
• ltx model loader
• ltx multi lora
• prompt guide
• system prompt
• local llm loader
• local llm prompt
• local llm reviewer
• prompt only
• final prompt
• ai reviewer
• media reviewer
• audio review gate
• ollama
• lm studio
• bernini
• bernini prompt guide
• bernini conditioning
• comfyui bernini
• kj bernini
• reference video edit
• wan-2.2
• wan2.2
• multi image loader
• advanced image source
• external folder
• resize
• image resize
• lora loader
• gguf
• visual fold
• fold selected nodes
• workflow tools

Install

Clone inside your custom_nodes folder:

git clone https://github.com/Deno2026/comfyui-deno-custom-nodes.git

Then restart ComfyUI.

Links

• YouTube: https://www.youtube.com/@Denoise-AI
• GitHub: https://github.com/Deno2026/comfyui-deno-custom-nodes
• Registry: https://registry.comfy.org/publishers/deno2026/nodes/deno-custom-nodes