ComfyUI - AI Image Tools Tool

Overview

ComfyUI is an open-source, node/graph-based GUI, API and backend for diffusion models that emphasizes modularity and extensibility. It lets users build complex Stable Diffusion pipelines by connecting nodes (loaders, samplers, conditioning, upscalers, etc.) in a visual flowchart, then execute only the changed parts of the graph for fast iteration. According to the project repository, ComfyUI runs on Windows, Linux and macOS and supports NVIDIA, AMD (ROCm), Intel/Apple Silicon, Ascend, Cambricon and Iluvatar backends; it also provides a portable Windows build and a comfy-cli installer for quick setup. ([github.com](https://github.com/comfyanonymous/ComfyUI)) The project supports a wide range of model families (SD1.x/2.x/SDXL/SDXL Turbo/SD3/3.5 and many community/third-party models), plus video, audio and 3D model workflows (examples and native workflows include Wan2.2-S2V and Sonic Diffusion). ComfyUI includes optimizations such as an asynchronous queue, partial re-execution of graphs, and “smart memory management” (offloading) that can run large models on very low-VRAM GPUs in many cases. The ecosystem includes ComfyUI-Manager for installing community nodes and dozens of plugin suites (WAS Node Suite etc.), plus optional API nodes to call paid external models (opt-in). For detailed examples and video workflows, see the official docs and examples. ([github.com](https://github.com/comfyanonymous/ComfyUI))

Key Features

• Visual node/graph workflow editor for constructing custom diffusion pipelines without coding.
• Supports image, video, audio and 3D models (SD1.x, SD2.x, SDXL, SD3/3.5, Wan2.x, Sonic Diffusion).
• Smart memory offloading can run large models on very low-VRAM GPUs in many cases (offload to CPU/disk).
• Partial graph execution: only changed parts re-run, speeding iterative experimentation and batch runs.
• ComfyUI-Manager to install, update, and manage community custom nodes and plugin suites.
• Save/load full workflows and seeds embedded in PNG/WebP/FLAC files for reproducible outputs.
• ControlNet, T2I-Adapter, upscalers (ESRGAN, SwinIR), LoRAs, hypernetworks, embeddings and textual inversion support.
• Optional API nodes let users opt-in to paid external models while keeping core functionality fully offline.

Example Usage

Example (python):

import subprocess
import sys

# Example: launch ComfyUI locally with the manager enabled (run from the ComfyUI repo or desktop folder)
subprocess.run([sys.executable, "main.py", "--enable-manager"], check=True)

# Alternative: install and start using comfy-cli (shell commands executed from Python)
# subprocess.run([sys.executable, "-m", "pip", "install", "comfy-cli"], check=True)
# subprocess.run(["comfy", "install"], check=True)

# Notes:
# - Running `python main.py` starts the ComfyUI server/UI. Use `--enable-manager` to enable ComfyUI-Manager.
# - Place model checkpoint files under models/checkpoints and VAEs under models/vae before running.

Benchmarks

GitHub stars: 99.5k (Source: https://github.com/Comfy-Org/ComfyUI (repository header).)

GitHub forks: 11.3k (Source: https://github.com/Comfy-Org/ComfyUI (repository header).)

Open issues (approx.): 3.2k (Source: https://github.com/Comfy-Org/ComfyUI (issues count).)

Release cadence: Weekly release cycle (core, desktop, frontend repositories coordinated). (Source: ComfyUI README — release process.)

Key Information

• Category: Image Tools
• Type: AI Image Tools Tool