ComfyUI is an open-source node-based generative AI application that supports the creation and editing of images, videos, 3D models, and audio. Through a visual flowchart interface, users can build complex AI workflows without programming knowledge. The 2025 update adds support for multimodal models (such as SD3, Flux, Hunyuan3D) and API node integration, making it suitable for creative design, AI research, and automated content production.
Core Features
Node-Based Workflow Construction
- Visually design generation pipelines by connecting models, parameters, and operations via drag-and-drop nodes, supporting branch logic and conditional judgments.
- Import/export JSON-format workflows, enabling one-click reuse of community templates (e.g., SDXL high-resolution修复, video storyboard generation).
Multimodal Content Generation
- Images: Supports models like SD3, Flux, and PixArt, generating up to 4K resolution with style transfer and局部重绘 capabilities.
- Videos: Integrates Stable Video Diffusion and Wan 2.1 to generate 60-second 1080p videos with keyframe editing support.
- 3D & Audio: Hunyuan3D 2.0 generates rotatable 3D models, while Stable Audio creates environmental sound effects and music clips.
Model Ecosystem & Extensions
- Compatible with 100+ mainstream models: ControlNet, Lora, VAE, etc., supporting custom model paths and Checkpoint merging.
- 850+ community-contributed nodes: Including AI painting assistance, image restoration, batch processing, and other functional extensions.
Performance Optimization & API Integration
- Partial Recomputation: Only re-executes modified components, saving over 50% GPU resources and supporting multi-GPU scheduling for NVIDIA/AMD/Intel.
- API Nodes: 2025 update adds support for external services like GPT-4o and Stability AI, hybridizing local and cloud model computing power.
Features & Advantages
| Feature | Description |
|---|---|
| Open Source & Free | MIT License with fully open source code (GitHub: comfyanonymous/ComfyUI) and no subscription fees. |
| Highly Customizable | Supports custom node development and workflow templates, enabling enterprises to build private functional modules. |
| Local Deployment & Privacy | Runs completely offline with no data uploads, suitable for sensitive scenarios like healthcare and military applications. |
| Efficient Resource Management | Intelligent VRAM allocation technology runs on as little as 1GB VRAM, compatible with consumer-grade graphics cards. |
| Enterprise-Grade Collaboration | Supports real-time multi-user workflow editing, version control, and permission management for team collaboration. |
Application Scenarios
- Digital Art Creation: Concept artists generate character designs and scene illustrations with layer editing and style iteration.
- Game Development: Rapidly creates NPC portraits, 3D props, and environment textures, reducing art production costs.
- Advertising & Marketing:批量制作 product variants, personalized ad materials, and A/B test content generation.
- AI Research: Academics visually debug model parameters and quickly validate new algorithm combinations.
- Educational Training: Universities use it to teach AI generation principles, helping students intuitively understand diffusion model workflows.
Supported Platforms
- Operating Systems: Windows 10+, macOS (Apple Silicon M1/M2), Linux (Ubuntu 20.04+).
- Hardware Requirements: NVIDIA (RTX 2000+)/AMD (RX 6000+)/Intel Arc GPUs (minimum 1GB VRAM); CPU mode supported (limited performance).
- Deployment Methods: Desktop application (Windows/macOS beta), portable version (no installation required), Docker container (enterprise deployment).
- Third-Party Integrations: Figma plugin, Blender import, Photoshop extension, Discord bot.