As a developer trying to iterate on SDXL prompts and schedulers, I found script-based tools painful to debug. ComfyUI addresses this challenge by offering a powerful, modular, and open-source visual programming environment tailored for AI image generation and experimentation. This session will introduce ComfyUI as a serious developer tool for building, debugging, and optimizing Stable Diffusion pipelines. With node-based execution graphs, real-time previews, and complete control over every parameter and model component, ComfyUI enables reproducibility, rapid prototyping, and extensibility for technical users. We’ll explore how developers can build custom inference workflows, integrate APIs, deploy on cloud GPUs, and contribute custom nodes to the growing ecosystem. Whether you're optimizing inference, conducting A/B testing, or building a generative AI backend, this session shows why ComfyUI is an essential tool for ML practitioners and engineers.