English
English
Thanks for coming to this page! This tutorial is designed for beginners to help you get started with ComfyUI quickly and gain insight into its powerful capabilities and core principles in the field of AI-generated image (AIGI) .
Target readers of this tutorial include:
Designer & Creator : I hope to use AI to generate high-quality images and improve creative efficiency.
AI researcher : I already have a certain foundation in AI generation and want to learn in-depth the application of ComfyUI in Stable Diffusion and other extension technologies.
Developer : I hope to explore ComfyUI's API and workflow and integrate it into my own AI generation project.
Note: If you just want to experience AI generating images without delving into ComfyUI 's powerful workflow and control capabilities, it may be more suitable to use Midjourney or SD WebUI .
This tutorial is divided into four main modules, and it is recommended to learn in order:
Introduce the basic concepts, core capabilities and application scenarios of ComfyUI , including:
What is ComfyUI? What is the difference with SD WebUI and Midjourney?
Nodal workflow : Why is ComfyUI suitable for professional users?
Supported AI generation technologies : Stable Diffusion, ControlNet, IPAdapter, LoRA, etc.
Learn the basic usage methods of ComfyUI and understand its core technical principles:
How to install ComfyUI (local vs. cloud use).
How to download & load Stable Diffusion models (SD 1.5, SDXL, LoRA).
Create your first ComfyUI workflow : the complete flow from text to image.
After completing this part, you will be able to use ComfyUI to generate basic images and master the methods to optimize the generation effect.
If you want to enhance control over AI-generated images , this section will explore in depth:
How to optimize Prompt & Negative Prompt to improve the generation quality?
ControlNet & IPAdapter : How to accurately control the posture, structure and style of characters?
How to improve resolution? (Use R-ESRGAN, Latent Upscale to enlarge the image)
How to modify a local image? (inpainting & outpainting technology)
In this section, we will learn how to combine multiple AI generation techniques to achieve more complex image creation, including:
LoRA & TI (text embedding) : How to train and use custom models?
Custom workflow : How to create automated AI to generate pipelines?
Wensheng Video : How to combine technologies such as AnimateDiff to generate AI animations?
The best way to learn is to practice while learning :
If you are using the ComfyUI cloud version , you can directly try the sample workflow provided in this tutorial.
You can also follow the tutorial steps, from basic to advanced, and build the ComfyUI node workflow step by step.
This tutorial will not only introduce the basic operations of ComfyUI , but also explain the key concepts of current AI generation technology , such as:
The principle of diffusion model of Stable Diffusion .
How to optimize Prompt for the best AI generation results .
Analysis of core technologies of ControlNet, LoRA, and IPAdapter .
This knowledge applies not only to ComfyUI , but also to using other AI generation tools (such as SD WebUI, Focus) .
Hopefully this tutorial will help you master the core capabilities of ComfyUI and use it to create high-quality, controllable AI-generated images!