ComfyUI
November 25, 2024

ComfyUI

AIImage GenerationStable DiffusionWorkflowPython

Node-based Stable Diffusion interface for power users. Build complex image generation workflows with visual programming.

VIEW ON GITHUB

ComfyUI is Stable Diffusion for people who want total control. Visual node-based workflows let you build anything.

Quick Deploy

```bash # Clone and setup git clone https://github.com/comfyanonymous/ComfyUI.git cd ComfyUI pip install -r requirements.txt

# Run python main.py

# Access at http://127.0.0.1:8188 ```

Portable Version

Download the standalone package - unzip and run, no Python setup needed.

Use Cases

Complex Workflows: Chain multiple models, upscalers, and effects in one pipeline.

Batch Processing: Set up workflows to process hundreds of images automatically.

Animation: Create AI animations with AnimateDiff integration.

Consistent Characters: Use IP-Adapter and reference images for character consistency.

Inpainting Pipelines: Build sophisticated editing workflows.

A/B Testing: Compare different models and settings side-by-side.

Why ComfyUI over WebUI?

- More control over the generation process - Better for complex multi-step workflows - Easier to reproduce exact results - Lower VRAM usage - Faster iteration

Essential Custom Nodes

- ComfyUI-Manager - Easy node installation - ControlNet nodes - Pose/depth control - IPAdapter - Image prompting - AnimateDiff - Video generation - Ultimate SD Upscale - Tiled upscaling

Pro Tips

- Save workflows as JSON to share/backup - Use groups to organize complex flows - Queue multiple generations - Right-click nodes for options