As generative AI has only recently emerged, it has quickly become a valuable tool for creators. While numerous services are offering various useful features, many still have their limitations. Among these, Stable Diffusion and ComfyUI have gained significant popularity due to their open-source nature. Their strength lies in the fact that users can freely import or create models, use workflows, and custom nodes, adapting them for tailored outcomes suitable for both individuals and businesses. Although Stable Diffusion may not be the absolute best tool, most services use the original Stable Diffusion model as their foundation.
However, due to the high level of flexibility, new users can easily struggle without a proper understanding of key concepts. This is not a flaw of the ComfyUI software itself, but rather a challenge inherent to the nature of generative AI, where the models are developed first and the methods for using them are developed later. Through over a year of experience working on more than 30 corporate projects and communicating with numerous users, our team has come to understand the challenges and needs users face. This led us to create a document to help those who are motivated to learn ComfyUI by providing them with a resource they can use for self-study.
We hope this document will be a valuable resource for those learning ComfyUI. We've made an effort to thoroughly cover the basics, keeping in mind that many existing workflows can be created by effectively combining the elements of Chapter 4: Core and Chapter 5: Templates. With enough practice, you'll become an expert at using ComfyUI in no time. The core concepts can be mastered in as little as 2-3 days. However, since this document was created in a short period, some parts may be lacking, and certain complex technical concepts might have been omitted. Please feel free to point out any issues, and we'll make corrections. We aim to reflect all feedback appropriately and continually improve this resource.