ComfyUI-EditUtils
a set of utils for comfyui edit model
Nodes (33)
Let the Image Tell You
The Converter Node That Just Lets a Wire Be a Wire
Wrap a Loose Latent Tensor Into Something a Sampler Will Accept
How to Feed Boogu More Than Three Reference Images
Repositioning References Without Regenerating
Prompt, Refs, and a Built-In Negative in One Node
The One-Line Handshake That Tells EditUtils You're Running Boogu
Unpacking Boogu's Black Box Into Wires You Can Actually Use
Keep Your Reference Images From Leaking Into the Wrong Wire
Drive Your Reference Settings From a JSON String Instead of Twenty Widgets
Deliver Edits at the Original Size, Not With Black Bars
Find Exactly What Changed Between Two Images — Without a Naive Pixel Diff
The One Encode Node to Rule All the Edit Models in This Pack
Unlimited Reference Images for Klein, One Chained Config at a Time
Move References Around the Canvas
Prompt, Up to Three Refs, Done
The Tiny Config Node That Picks Flux 2 Klein's Side of the Pipeline
Turn Klein's Encode Black Box Into Eight Usable Wires
The Node That Turns Krea 2 Into an Instruction Editor
The Config Node That Sneaks Krea 2 Through the Qwen Pipeline
Grab one thing out of a LIST — that's the whole job
Reload a saved conditioning without re-encoding
Same cache loader, but organized by LoRA name instead of by file
Stock LoadImage, plus a filename output — so you can actually do something with it
Resize-and-pad your reference the way EditUtils does — without burning a CLIP encode
One config node to rule the model switcher — until you switch to Flux2Klein
One image, one config block — chain these to feed unlimited references
The encode node's kitchen sink, unpacked into 11 usable wires
The one-node Qwen edit encode — three images, one wire in, sampler-ready out
Put each reference exactly where you want it — ROPE-positioned regional editing
The Qwen config node that can't be misconfigured — fixed name, fixed VAE unit
Paint where the reference goes — a mask becomes your regional-edit coordinates
Stop re-encoding the same image every run — save the condition once
ComfyUI-EditUtils
A collection of utility nodes for advanced image editing in ComfyUI, supporting multiple AI models including Qwen and Flux2Klein.
Update
20260504 Added Longest Edge Image Process, Clear Ref Latents, Save/Load Condition nodes. Fixed no_refs_cond output in Output Extractors. 20260407 Fixed Extra Height Unit Pad Which Introduce Color Shift
Overview
ComfyUI-EditUtils is the follow-up version of ComfyUI-QwenEditUtils, offering enhanced capabilities for image editing workflows with support for multiple AI models. This package provides a comprehensive set of tools for advanced image editing, featuring flexible configuration options and model-specific optimizations.
Examples
RunningHub Single Image Workflow: https://www.runninghub.ai/post/2045207600739913729/?inviteCode=rh-v1279
RunningHub Simple Krea2 Depth Workflow (工作流：Simple Krea Depth): https://www.runninghub.ai/post/2082077636234313729/?inviteCode=rh-v1279
Usage Tips
For better consistency in local editing, it's recommended to use this workflow with Consistency Edit LoRA:
- Civitai Download: Consistency Edit LoRA
- Huggingface Download: Consistency Edit LoRA
Workflows
Example workflows are available in the workflows directory:
- Simple Krea2 Depth.json - Simple Krea2 editing workflow with a depth LoRA. Wires
LoadImage → Krea2ModelConfig_EditUtils → EditTextEncode_EditUtils → Krea2EditApply_EditUtils → KSampler, loading the model viaUNETLoader + LoraLoaderModelOnly— the reference latent flows through the conditioning chain automatically.- Online version on RunningHub: https://www.runninghub.ai/post/2082077636234313729/?inviteCode=rh-v1279
- Depth LoRA download: Krea2 Depth LoRA (Civitai)
⚠️ Note: Krea2 edit support is still in development — node interfaces and behavior may change.
Capabilities
- EditUtils supports direct high-resolution editing without pixel shifts, up to 2xxx ~ 3xxx resolution
- Multiple images input support:
- Simple workflow: up to 3 images
- Single and multiple workflows: unlimited images (connect multiple configs)
Node Categories
Documentation:
Key Features
- Multi-Model Support: Works with both Qwen and Flux2Klein models for versatile image editing
- Flexible Configuration: Per-image configuration options for reference and VL processing
- Unified Interface: Single node EditTextEncode_EditUtils works with multiple models through configuration nodes
- Advanced Processing: Supports complex image editing workflows with multiple reference images
- Comprehensive Output: Detailed output dictionary with all processing intermediates
- Modular Design: Separated configuration, processing, and extraction nodes for maximum flexibility
New Nodes
LongestEdgeImageProcess_EditUtils
A utility node that resizes and pads an image based on a target longest edge, using the same processing logic as EditTextEncode. Useful when you need the image preprocessing without CLIP/VAE encoding.
Inputs:
image: Input imageref_longest_edge: Target longest edge size (default: 1024)ref_crop: Crop method - "pad", "center", or "disabled" (default: "pad")ref_upscale: Upscale method (default: "lanczos")vae_unit: VAE unit size for padding alignment (default: 8)
Outputs:
processed_image: The resized/padded imagepad_info: Padding information dictionaryscale_by: The scale factor
Use Case: Pre-process images with longest edge scaling before passing to other nodes, or reuse the same image processing pipeline outside of the encoding workflow.
ClearRefLatents_EditUtils
A utility node that strips reference latents from a conditioning, outputting a clean conditioning without any ref latents attached.
Inputs:
conditioning: Conditioning with reference latents
Outputs:
conditioning: The same conditioning with reference latents cleared
Use Case: Remove reference latents from conditioning when you want to use the text encoding without image references.
SaveCondition_EditUtils
Saves a conditioning tensor to a .ckpt file in the models/conditions directory.
Inputs:
condition: The conditioning to savefilename: Output filename (default: "condition_tensor")
Use Case: Persist conditioning tensors for later reuse without re-encoding.
LoadCondition_EditUtils
Loads a conditioning tensor from a .ckpt file in the models/conditions directory.
Inputs:
filename: Select from available.ckptfiles in the conditions directory
Outputs:
conditioning: The loaded conditioning tensor
Use Case: Reuse previously saved conditioning tensors in new workflows.
LoadConditionFromLoras_EditUtils
Lists files from the loras directory and attempts to load matching .ckpt files from the conditions directory.
Inputs:
filename: Select from available lora files
Outputs:
conditioning: The loaded conditioning tensor
DiffMask_EditUtils
A utility node that generates a mask highlighting the differences between two images. Useful for editing tasks where you want to identify changed regions.
Inputs:
image1: First imageimage2: Second imagethreshold: Threshold to ignore minor differences (0.0-1.0, default: 0.05)
Output:
mask: A mask highlighting differences between the two images
Use Case: Compare original and edited images to create a mask for selective editing or inpainting.
Installation
- Clone or download this repository into your ComfyUI's
custom_nodesdirectory. - Restart ComfyUI.
- The nodes will be available in the "advanced/conditioning" category.
Changelog
ComfyUI-EditUtils vs ComfyUI-QwenEditUtils
ComfyUI-EditUtils is the follow-up version of ComfyUI-QwenEditUtils with the following improvements:
- Multi-model support (Qwen and Flux2Klein)
- Unified node architecture with configuration nodes
- Enhanced flexibility and modularity
- Improved code organization and maintainability
Contact
- Twitter: @Lrzjason
- Email: [email protected]
- QQ Group: 866612947
- Wechatid: fkdeai
- Civitai: xiaozhijason