Efficiency Nodes for ComfyUI

Introduction

The Efficiency Nodes for ComfyUI repository is a collection of custom nodes designed to enhance the functionality and efficiency of workflows created with ComfyUI, a visual programming tool. This repository aims to streamline workflows by reducing the total node count while maintaining or expanding capabilities. These nodes allow users to perform a variety of tasks more efficiently, such as loading models, processing images, generating plots, and more.

Table of Contents

• Installation
• Purpose
• Available Nodes
• Special Features
• Use Cases in ComfyUI Workflows

Installation

To install this collection of custom nodes, follow these steps:

1. Download or clone the repository.
2. Place the efficiency-nodes-comfyui folder into the ...\ComfyUI\ComfyUI\custom_nodes directory.
3. Restart the ComfyUI interface to load the new nodes.

Purpose

The main purpose of this repository is to provide a collection of custom nodes for ComfyUI that streamline workflows and reduce the node count needed for complex tasks. These nodes are designed to handle a wide range of tasks including image processing, model loading, and more, which helps users focus on higher-level functionality without getting bogged down by repetitive or complex configurations.

Available Nodes

Below is a summary of the various nodes provided in this repository:

• KSampler (Efficient)
• KSampler Adv. (Efficient)
• KSampler SDXL (Eff.)
• Efficient Loader
• Eff. Loader SDXL
• LoRA Stacker
• Control Net Stacker
• Apply ControlNet Stack
• Unpack SDXL Tuple
• Pack SDXL Tuple
• XY Plot
• XY Input: Seeds++ Batch
• And many more...

Special Features

1. Efficient Loaders: These nodes allow for the loading and caching of models with options for custom configurations. They support advanced features like LoRA and ControlNet stack applications.

2. KSamplers with Advanced Features: Capable of live previews and enhanced seed management, including executing scripts like XY Plot, these nodes offer versatility in image generation.

3. Script Nodes for Automation: Execute pre-wired actions with the ability to chain multiple scripts together, automating complex task sequences.

4. HighRes-Fix and Tiled Upscaler: Nodes for enhancing image resolution using a variety of methods, supporting both neural network latent upscalers and control net guided upscaling.

5. SimpleEval Nodes: Enable simple Python script evaluations for multiple data types, extending the functionality for custom calculations and logic within workflows.

6. Noise and Image Overlay Control: Nodes for nuanced control over noise generation and flexible image overlay capabilities, useful for a range of image processing tasks.

Use Cases in ComfyUI Workflows

These nodes serve to improve ComfyUI workflows by providing efficient solutions for common tasks, including:

• Model Loading and Caching: Simplifies the process of loading models, reducing memory usage and increasing performance.
• Image Generation Management: Advanced samplers manage seeds and execute scripts to automate image generation with a variety of parameters.
• Resolution Enhancement: Automatically upscale images or parts of images, ensuring high-quality outputs.
• XY Plotting for Analysis: Facilitates the creation of parameterized plots to evaluate model behavior across a range of settings.
• Script Automation: Chain scripts to automate complex workflows, saving time and optimizing processes.
• Custom Evaluations: Extend workflow capabilities using basic scripting within nodes to handle specific logic or calculations unique to user needs.

By integrating this repository, ComfyUI users can streamline their workflows, reducing complexity and enhancing efficiency.