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What is ComfyUI?

ComfyUI is a node-based workflow AI generation tool that provides creators with precise control over the image, video and audio generation process in a highly modular and visual way. Unlike “black box” cueing tools such as Midjourney, ComfyUI allows users to build blocks, connecting model loading, parameter regulation, effect control and other steps into a complete automated pipeline, which realizes atomic-level intervention and stable reproduction of the generated results.

Version iteration and development:

ComfyUI has grown rapidly, evolving from an open source project to a full-fledged commercial product at the following key points:

• 2023: Launched as an open source project to address the problem of uncontrollable results generated by early diffusion models.
• 2024:
  • Released V1.0 Desktop, which integrates the Python environment, simplifies the installation process, and supports Windows, macOS, and Linux.
  • Closed a $19 million Series A round of financing at the end of the year.
• 2025:
  • In January, the book "ComfyUI Workflow", which systematically introduces its use, was published in China.
  • In March, AliCloud introduced Serverless deployment solutions, lowering the threshold for cloud deployment.
  • In May, official security patches were released to fix high-risk vulnerabilities in historical versions.
• 2026:
  • In April, it announced the completion of a new round of financing of $30 million, valued at $500 million, and the number of users exceeded 4 million.
  • Ongoing version updates, such as version v0.19.0 with comprehensive upgrades in asset management, memory optimization and front-end experience.

Key Features

The core of ComfyUI is itsNodal workflow designIt breaks down the complex AI generation process into separate, freely combinable functional modules (nodes).

• Visual Process Orchestration: Users can intuitively build a complete generation pipeline from text/image input to final output by dragging and dropping nodes and connecting lines.
• Extremely high degree of freedom and control: Each step of the generation process can be finely tuned, such as using ControlNet nodes to precisely control character poses or IPAdapter nodes to maintain character consistency.
• Workflow reusability and sharing: A constructed workflow can be saved as a .json Documents are easily shared, reproduced and fine-tuned by team members, enabling the deposition of design assets.
• Low memory footprint and high efficiency: Compared to similar tools, ComfyUI is more hardware-friendly and runs more efficiently by optimizing processes to reduce memory usage.
• Rich plug-in ecosystem: A large community and plugin libraries, such as ComfyUI Manager, make it easy to manage and install all kinds of custom nodes, greatly expanding the boundaries of its functionality.

Usage Scenarios

ComfyUI's precision control and automation capabilities have made it so popular in the professional world that it has even given rise to the new position of “ComfyUI Artist/Engineer”.

How do I use ComfyUI?

For the uninitiated, there are two main ways to use ComfyUI:

1. local deployment:
   • Recommended for newbies: Direct download of the officialDesktop Edition Integration PackThis version can be used without having to manually configure Python and other complex environments. No need to manually configure Python and other complex environments for this version, just unzip it and use it.
   • advanced user: can be accessed through git clone command clones the project from GitHub and installs the dependencies manually.
2. Cloud Platform:
   • To avoid the high hardware thresholds and complex configurations of local deployments, cloud-based platforms can be chosen. For example.RunningHub Provides a mature ComfyUI cloud environment with a huge number of pre-built models and nodes, which users can use without installation, open the browser, and run large-scale workflows with cloud computing power.

Basic operation processThis usually involves: loading the model (Checkpoint Loader) → entering the cue word (CLIP Text Encode) → setting the sampler (KSampler) → decoding and saving the image (VAE Decode & Save Image).

Product Comparison

Overall, ComfyUI is gradually becoming the “operating system” in the field of AI-generated content, which solves the core pain points in the transition from “text generation” to “industrial-grade production” by giving creators unprecedented control. ComfyUI is gradually becoming an "operating system" in the field of AI-generated content, and it solves the core pain points in the transition from "text generation" to "industrial production" by giving creators unprecedented control.