---
title: "Comfyui Vs Invokeai — Benchmark & Workflow Comparison"
description: "InvokeAI focuses on a unified painting canvas, whereas ComfyUI leads in cutting-edge model support, custom node breadth, and video generation. Compare VRAM usage, Flux and video support, startup speed, and Windows installation."
canonical: https://comfy.ink/compare/comfyui-vs-invokeai
updated: 2026-10-17
---

# ComfyUI vs InvokeAI

InvokeAI focuses on a unified painting canvas, whereas ComfyUI leads in cutting-edge model support, custom node breadth, and video generation.

## Facts (2026-10-17)

- **Compared Against:** InvokeAI
- **ComfyUI Edge:** Lower VRAM, Flux/Video support, node graph
- **Shared Models:** Yes via extra_model_paths.yaml
- **Windows Build:** Free download at /download

## ComfyUI vs InvokeAI Feature Matrix

| Capability | ComfyUI (Windows) | InvokeAI |
| --- | --- | --- |
| Custom node ecosystem | Largest in open-source AI | Smaller node library |
| Video generation | Full Hunyuan, Wan 2.1, LTX, AnimateDiff | Primarily still images |
| Portable Windows deployment | Self-contained folder | Database-managed library |
| Workflow sharing | Drag-and-drop PNG or JSON | Node graph JSON export |

## How ComfyUI compares to InvokeAI

InvokeAI focuses on a unified painting canvas, whereas ComfyUI leads in cutting-edge model support, custom node breadth, and video generation.

**Where ComfyUI pulls ahead:** 5,000+ community custom nodes, instant support for new diffusion papers, and lightweight portable builds.

**Where InvokeAI fits:** Polished layered brush canvas for manual photoshop-style inpainting.

## Running both tools on the same Windows PC without duplicating checkpoints

You do not need to delete InvokeAI or duplicate 100 GB of `.safetensors` files to switch to ComfyUI. Configure [extra_model_paths.yaml](https://comfy.ink/install/extra-model-paths-yaml-setup) so ComfyUI reads your existing checkpoints, LoRAs, VAEs, and ControlNets directly from disk.

Install the Windows desktop or portable build from [/download](https://comfy.ink/download) and point it at your existing model library in under two minutes.

## FAQ

### Can ComfyUI and InvokeAI share the same models folder on Windows?

Yes. Edit `extra_model_paths.yaml` in your ComfyUI root folder to point `base_path` at your existing models directory so both apps load the exact same files.

### Does ComfyUI use less VRAM than InvokeAI?

ComfyUI only keeps the active node's sub-model (CLIP, UNet, or VAE) in VRAM at each step and supports native FP8 and GGUF quantization, making it significantly lighter on 8 GB and 12 GB GPUs.

## Related

- [ComfyUI vs Other Diffusion Tools](https://comfy.ink/compare)
- [Share Checkpoints Between ComfyUI, A1111 & Forge](https://comfy.ink/install/share-models-with-automatic1111-forge)
- [ComfyUI VRAM Requirements for SDXL, Flux & Video (6GB–24GB)](https://comfy.ink/guides/comfyui-vram-requirements-guide)
- [ComfyUI Desktop Windows Download](https://comfy.ink/desktop/comfyui-desktop-windows-download)
- [ComfyUI vs Automatic1111 SD WebUI](https://comfy.ink/compare/comfyui-vs-automatic1111)

## Download

Free desktop app: [Download Comfy](https://comfy.ink/download)

Markdown mirror: https://comfy.ink/compare/comfyui-vs-invokeai.md