ComfyUI

Efficency-nodes Extend Guide: Simplify Your AI Image Workflows

Efficency-nodes Extend Guide: Simplify Your AI Image Workflows

ComfyUI is flexible but gets cluttered with repetitive node connections. The Efficiency-nodes extension fixes this by packing multiple functions into 2 core node types (loaders + samplers), cutting workflow complexity and saving time. It also adds features like HD restoration and XY parameter comparison charts. ---------------------------------------- Key Nodes in Efficiency-nodes Efficiency

ComfyUI-Impact-Pack Guide: Streamline Your AI Image Workflow

Advanced Operations in ComfyUI

ComfyUI-Impact-Pack Guide: Streamline Your AI Image Workflow

For anyone using ComfyUI to create AI images, managing and optimizing complex workflows can be a real challenge. Enter a powerful solution: ComfyUI-Impact-Pack. This tool automates many advanced yet tedious image processing tasks, making it perfect for beginners looking to boost both efficiency and output quality. ---------------------------------------- Overview & Installation The

Creating AI Animations in ComfyUI

Creating AI Animations in ComfyUI

A Beginner-Friendly Guide to AnimateDiff If you're already using Stable Diffusion to generate images and suddenly find yourself thinking, “What if I could make these characters move?” — then you’re ready to explore AnimateDiff. Despite its technical-sounding name, AnimateDiff is surprisingly easy to understand: It turns static images into animations.

SD UpScale for High-Definition Enlargement: A Practical Guide to Boosting Image Quality in ComfyUI

SD UpScale for High-Definition Enlargement: A Practical Guide to Boosting Image Quality in ComfyUI

High-definition upscaling is a frequent requirement in image processing. While ComfyUI offers various methods for enlargement, many require complex node setups or yield limited results. The SD UpScale extension provides a more efficient solution by achieving high-quality upscaling through tiled processing, which saves both time and storage space. This guide

A Practical Guide to the Tile Model in ComfyUI: Image Detail Restoration and High-Definition Upscaling

A Practical Guide to the Tile Model in ComfyUI: Image Detail Restoration and High-Definition Upscaling

In the process of image generation and manipulation, a common challenge arises: when using the "Img2Img" function and increasing the Denoising Strength to enhance details, the image content can often change unpredictably. The Tile Model is precisely the tool designed to solve this problem. It is capable of optimizing image

ComfyUI Practical Guide: Using the Inpaint Preprocessors

ComfyUI Practical Guide: Using the Inpaint Preprocessors

The function and usage of Inpaint are similar to local redrawing, except that Inpaint essentially replaces the algorithm for local redrawing in the native text-to-image function. By means of a deep learning model, it analyzes the missing areas in the image and the information of surrounding pixels, intelligently predicts and

ComfyUI Practical Guide: Using the OpenPose Preprocessors

ComfyUI Practical Guide: Using the OpenPose Preprocessors

OpenPose is a key model for controlling human poses. It can detect key points of the human body structure—such as the position of the head, shoulders, elbows, and knees—while ignoring detailed elements like the person’s clothing, hairstyle, and background. By capturing the position of the human structure

Scribble and Lineart in ComfyUI: A Beginner-Friendly Guide

Scribble and Lineart in ComfyUI: A Beginner-Friendly Guide

In ComfyUI, ControlNet models help users fine-tune and control how images are generated. Among them, Scribble and Lineart are two of the most commonly used edge-based sketch extraction models. They’re ideal for hand-drawn or line-art–style control. This guide walks you through the basic concepts, how to choose the

ComfyUI Practical Guide: Using the MLSD and Depth Preprocessors

ComfyUI Practical Guide: Using the MLSD and Depth Preprocessors

In ComfyUI, preprocessors play a key role in controlling how your images are generated. This article introduces two commonly used ones—MLSD and Depth—and walks you through real examples to help you get started quickly. Whether you’re new to ComfyUI or looking to optimize your workflow, these tips

ControlNet Practical Guide: A Deep Dive into Canny and SoftEdge Models

ControlNet Practical Guide: A Deep Dive into Canny and SoftEdge Models

When using ComfyUI for AI image generation, ControlNet plays a key role in enabling structured and controllable image outputs. Among its many tools, Canny and SoftEdge are two of the most widely used edge detection models. They extract outlines in different ways, allowing creators to precisely guide the structure and

Complete Guide to Installing and Using ControlNet in ComfyUI (Beginner-Friendly)

Explanation of Common Node Operations

Complete Guide to Installing and Using ControlNet in ComfyUI (Beginner-Friendly)

When working with Stable Diffusion (SD), you may have noticed how unpredictable the results can be — generating the same prompt several times often gives entirely different images. ControlNet was created to fix exactly that problem. By using Conditional Generative Networks, ControlNet allows you to provide structured visual guidance — such as

Understanding and Using SD Base Models

ComfyUI Basic Operations

Understanding and Using SD Base Models

When starting your AI art journey in ComfyUI, the first and most crucial choice you'll encounter is selecting the Base Model (often called the "checkpoint" or "large model"). Positioned at the very beginning of a typical workflow, its placement alone hints at its fundamental role. What is a Base Model?

A Deep Dive into the 3 Core Techniques for Controlling Prompts in ComfyUI

ComfyUI Basic Operations

A Deep Dive into the 3 Core Techniques for Controlling Prompts in ComfyUI

When creating images in ComfyUI, your prompts are the main language for communicating with the AI model. How can you precisely express your ideas to generate images that match your vision? Mastering these three core techniques will significantly boost your control over the results. Technique 1: Control Element Importance with

Five Practical Tips for Mastering Prompt Weights

ComfyUI Basic Operations

Five Practical Tips for Mastering Prompt Weights

When writing prompts, you can influence the local effects in an image by adjusting the weights of words in the prompt. This is typically done using different symbols and numbers, as follows. 1.Adjusting weights with curly braces "{}" If you add “{}” to a word, you can increase its weight by

An Introduction to Optimize Quality Prompts

ComfyUI Basic Operations

An Introduction to Optimize Quality Prompts

Continuing the series of previously published articles introducing positive prompts and negative prompts, in this article, we will introduce quality prompts. Quality refers to the overall appearance of an image. Related metrics include resolution, sharpness, color saturation and so on. A high-quality image will perform better on these metrics. We

Five Practical Tips for Optimizing Negative Prompts

Five Practical Tips for Optimizing Negative Prompts

When working with Stable Diffusion (SD), many people focus on crafting the perfect positive prompt but often overlook the importance of negative prompts. In fact, a well-written negative prompt can make a huge difference in how clean, natural, and polished your final image looks. It helps you filter out unwanted

Practical Guide to Writing Positive Prompts in ComfyUI

Practical Guide to Writing Positive Prompts in ComfyUI

Overview When using Stable Diffusion (SD) to generate images—whether through Text-to-Image or Image-to-Image—positive prompts are the core element. They directly determine the image’s content, style, and quality. For ComfyUI users, crafting clear and structured positive prompts helps you generate your desired images more efficiently while reducing unwanted

SDXL Standard Workflow Explained: From Setup to Practice

ComfyUI Basic Operations

SDXL Standard Workflow Explained: From Setup to Practice

Overview When using ComfyUI for image generation, SDXL is one of the most widely used high-quality models. The standard SDXL workflow consists of two main components: the Base model and the Refiner model. These models work together to generate more detailed and natural-looking images. In this guide, we'll walk you

Part 2: A Guide to Model-Based and High-Resolution Fix Upscaling in ComfyUI

ComfyUI Basic Operations

Part 2: A Guide to Model-Based and High-Resolution Fix Upscaling in ComfyUI

Overview In the previous article, we explored Non-Model Upscaling — a fast, algorithm-based method to enlarge images. While it’s simple and efficient, the improvements in detail after upscaling are still quite limited. In this guide, we’ll take a closer look at Model-Based Upscaling and High-Resolution Fix Upscaling. Both approaches

Part 1: A Guide to High-Definition Upscaling Workflows in ComfyUI: Non-Model Upscaling

ComfyUI Basic Operations

Part 1: A Guide to High-Definition Upscaling Workflows in ComfyUI: Non-Model Upscaling

When generated images have low resolution, simply stretching the dimensions will result in blurry output. ComfyUI offers multiple upscaling solutions to enhance image quality. This article introduces three methods ranging from basic to advanced, helping you quickly improve your image details. 1. Non-Model Upscaling: Fast and Simple Non-model upscaling relies

A Practical Guide to Inpainting Workflows in ComfyUI: Edit Specific Parts of Your Image with Ease

ComfyUI Basic Operations

A Practical Guide to Inpainting Workflows in ComfyUI: Edit Specific Parts of Your Image with Ease

Inpainting is a commonly used feature in image generation and editing. If you’ve used tools like WebUI before, you’re probably already familiar with the concept. In ComfyUI, inpainting is also built on an image-to-image workflow. In this guide, we’ll walk through how to set up a practical

LoRA Part 1: Building Your LoRA Model Workflow

ComfyUI Basic Operations

LoRA Part 1: Building Your LoRA Model Workflow

In the Part 2, we introduced you how to build your first ComfyUI text-to-image workflow. Based on this, we will introduce you to the construction of the LoRA model workflow. Load LoRA Node Introduction The "Load LoRA "node is used to load LoRA models and configure model weights. Its input

LoRA Part 2: Text-to-Image Practice with LoRA — An Example of Practical Case

LoRA Part 2: Text-to-Image Practice with LoRA — An Example of Practical Case

In the LoRA Part 1, we expanded on the article in the Part 2 by introducing how to integrate the LoRA model node into the text-to-image workflow to create a new workflow. In this part, we'll provide a practical example of a workflow that includes the LoRA model node. Practical

Part 4: Image-to-Image Practice: Turning Real Photos into Anime Style

ComfyUI Basic Operations

Part 4: Image-to-Image Practice: Turning Real Photos into Anime Style

In the previous article, we introduced the basics of building an image-to-image workflow. Now, let’s walk through a practical example—converting a real photo into anime style. ---------------------------------------- Step 1: Select the Model Since our goal is anime-style generation, we need a model specialized for anime. In the Checkpoint

Part 3: Your Quick Guide to ComfyUI's Image-to-Image Workflow

ComfyUI Basic Operations

Part 3: Your Quick Guide to ComfyUI's Image-to-Image Workflow

Already grasp text-to-image in ComfyUI? Great! Image-to-image is your next logical step. It builds on that foundation by letting you use an existing image as a starting point. This guide cuts to the chase, showing you the key nodes and how to wire them up to get started fast. The