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ComfyUI

The most powerful and modular diffusion model GUI with a graph/nodes interface for Stable Diffusion

★ 118,476 GitHub GPL-3.0 stable-diffusionimage-generationguiworkflowpytorch Image & Video

Overview

ComfyUI is a powerful, modular, and node-based GUI for Stable Diffusion and other diffusion models. It provides a visual graph/nodes interface where users can design complex image generation workflows by connecting nodes. Each node represents a component of the generation pipeline — from loading checkpoints and text encoders to applying LoRAs, ControlNet, and samplers. With 118k+ GitHub stars, it is the most popular alternative to AUTOMATIC1111. It supports SD1.5, SDXL, SD3, Flux, and video generation models. All processing runs locally on your own GPU, giving you full privacy and unlimited generations.

Requirements

Min vCPU
1
Min RAM
8192 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  comfyui:
    image: comfyui/comfyui:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/comfyui:/data

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ComfyUI — Full Review 2026

ComfyUI

ComfyUI is a powerful, modular, and node-based GUI for Stable Diffusion and other diffusion models. It provides a visual graph/nodes interface where users can design complex image generation workflows by connecting nodes. Each node represents a component of the generation pipeline — from loading checkpoints and text encoders to applying LoRAs, ControlNet, and samplers. With 118k+ GitHub stars, it is the most popular alternative to AUTOMATIC1111. It supports SD1.5, SDXL, SD3, Flux, and video generation models. All processing runs locally on your own GPU, giving you full privacy and unlimited generations.

Key features

ComfyUI — Complete Overview

ComfyUI

ComfyUI is a powerful, modular, and node-based GUI for Stable Diffusion and other diffusion models. It provides a visual graph/nodes interface where users can design complex image generation workflows by connecting nodes. Each node represents a component of the generation pipeline — from loading checkpoints and text encoders to applying LoRAs, ControlNet, and samplers. With 118k+ GitHub stars, it is the most popular alternative to AUTOMATIC1111. It supports SD1.5, SDXL, SD3, Flux, and video generation models. All processing runs locally on your own GPU, giving you full privacy and unlimited generations.

Key features

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