Comfy-Org/ComfyUI

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.

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Summary Information

Updated 3 minutes ago
Added to GitGenius on December 7th, 2025
Created on January 17th, 2023
Open Issues & Pull Requests: 5,092 (+1)
GitHub issues: Enabled
Number of forks: 16,207
Total Stargazers: 136,577 (+22)
Total Subscribers: 823 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.5 hours
Mean response time: 14.0 days
90th percentile: 12.2 days
Tracked items: 6,123

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Issue Activity (beta)

Open issues: 3,636
New in 7 days: 45
Closed in 7 days: 17
Avg open age: 429 days
Stale 30+ days: 3,395
Stale 90+ days: 2,929

Recent activity

Opened in 7 days: 28
Closed in 7 days: 14
Comments in 7 days: 12
Events in 7 days: 27

Top labels

  • Potential Bug (2,653)
  • User Support (2,631)
  • Feature (1,076)
  • Stale (1,063)
  • Custom Nodes Bug (300)
  • Frontend (201)
  • bug-cop:answered (72)
  • bug-cop:response-received (57)

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Detailed Description

ComfyUI is a node-based graphical interface and backend system designed for creating complex diffusion model workflows without requiring code. Written in Python, it serves as a comprehensive AI engine for visual content creation, supporting image generation, video synthesis, audio production, and 3D model creation across multiple diffusion model architectures.

The platform natively integrates a broad range of state-of-the-art open-source models including Stable Diffusion variants (SD1.x, SD2.x, SDXL, SDXL Turbo, Stable Cascade, SD3, SD3.5), Pixart Alpha and Sigma, AuraFlow, HunyuanDiT, Flux, Flux 2, Lumina Image 2.0, HiDream, Qwen Image, Hunyuan Image 2.1, Z Image, and Ernie Image for image generation. For image editing, it supports Omnigen 2, Flux Kontext, HiDream E1.1, and Qwen Image Edit. Video generation capabilities include Stable Video Diffusion, Mochi, LTX-Video, Hunyuan Video, Wan 2.1, Wan 2.2, and Hunyuan Video 1.5. The system also handles audio through Stable Audio and ACE Step, and 3D model generation via Hunyuan3D 2.0. Additionally, API nodes provide access to closed-source models from providers like Nano Banana, Seedance, and Hunyuan3D.

The core architecture employs an asynchronous queue system with intelligent optimization that only re-executes workflow sections that have changed between runs. Memory management is particularly sophisticated, automatically offloading large models to enable operation on GPUs with as little as 1GB of VRAM, and the system can run entirely on CPU when necessary. ComfyUI supports loading checkpoint and safetensors files, embeddings, textual inversion, LoRAs in multiple formats (regular, locon, loha), and hypernetworks. Advanced workflow capabilities include area composition, inpainting with both standard and specialized models, ControlNet and T2I-Adapter integration, upscaling through models like ESRGAN and SwinIR, GLIGEN support, model merging, and LCM models.

The platform is available across Windows, Linux, and macOS through multiple installation methods including a desktop application, portable Windows package, and manual installation supporting all GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend). A cloud version called Comfy Cloud provides paid access for users without local hardware. Workflows can be saved as JSON files or embedded in generated PNG, WebP, and FLAC files for easy sharing and reproduction.

ComfyUI follows a weekly release cycle targeting Monday, with major stable versions released roughly every two weeks, supported by coordinated releases from Comfy Desktop and ComfyUI Frontend repositories.