Comfy-Org/ComfyUI

ComfyUI is a modular, node-graph-based AI engine for running diffusion and generative models locally, covering image, video, audio, 3D, and text workflows from a single interface. It pairs a visual workflow editor with a Python backend and API, so a graph prototyped by hand can be reused, shared as JSON, or deployed as a production service.

Key Highlights

• Visual node graph for building, reusing, and sharing workflows, with subgraphs, templates, App Mode, and JSON save/load.
• Highly optimized local inference using asynchronous weight streaming, smart VRAM/RAM management, and model offloading to run large models on modest hardware.
• Broad native model support spanning Flux, SD3.5, Qwen Image, Wan, HunyuanVideo, Hunyuan3D, ACE-Step, and many more, plus partner API nodes for closed models.
• Deep extensibility through custom nodes, LoRAs, ControlNets, adapters, and configurable model paths.
• Multiple deployment paths: desktop app, portable Windows builds, cloud, and a local API for production pipelines.

Best For

Visual professionals, AI engineers, and studios that need granular control over every model and parameter, and want reproducible, automatable generative pipelines rather than one-click black boxes.