How to Build a ComfyUI API Endpoint for AI Image Generation (Step-by-Step Guide)

Welcome to my comprehensive tutorial on creating a custom ComfyUI API endpoint for AI image generation! In this video, I’ll walk you through the entire process of building an API endpoint using Python, leveraging libraries like `websocket-client`, `PIL`, `dotenv`, and more to generate images based on prompts.

**What You’ll Learn:**
- How to set up the ComfyUI server and WebSocket connection for real-time interaction.
- How to load and customize a workflow using JSON for image generation.
- Techniques for capturing user inputs, such as positive and negative prompts.
- Real-time progress tracking and fetching generated images from the server.
- Saving generated images locally with a reproducible seed for consistent results.

This video covers both the technical and functional aspects of working with the ComfyUI API, making it perfect for developers and AI enthusiasts who want to understand the inner workings of AI image generation. By the end of this tutorial, you'll have a working endpoint for generating custom AI images based on your own prompts!

### **Tools and Libraries Used:**
- `websocket-client` for real-time communication.
- `json` for managing and customizing the workflow.
- `PIL` for handling and saving image files.
- `dotenv` for managing environment variables.
- `urllib` for fetching data from the ComfyUI server.

Be sure to **like**, **subscribe**, and **comment** below if you found this guide helpful. Don’t forget to share your custom AI-generated images in the comments!

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📂 **Download the GitHub Repo for Easy Installation**:

[ronwiltgen]

Watching this now, I watched the guide and it was really good! Thank you.

[paveloconnor]

Can you please make a video how to setup ComfyUI API with a custom workflow with custom nodes and models on runpod and then call this API from some front end? Thanks!

[zerosequels]

I just installed comfyui but I can't find the side bar, it's not coming up