How to Install ComfyUI Locally

The Problem

You want to run AI image generation on your own machine. Maybe for privacy, maybe to avoid subscription fees, maybe because cloud platforms restrict what you can create. But most local tools assume you already know Python, Git, and command-line basics. That's a lot to figure out before you've generated a single image.

Can You Install ComfyUI Locally? (Short Answer)

Yes, and there are four ways to do it. The easiest is the Desktop app — download, install, done. The hardest is manual setup with Git and Python. Pick the method that matches your comfort level.

How the Install Works

1. Check your hardware first. ComfyUI needs a graphics card (GPU) with at least 6 GB of video memory (VRAM). Most NVIDIA cards from the RTX 2060 and up work. Apple Silicon Macs (M1, M2, M3, M4) work too. You'll also need about 15 GB of free disk space before downloading any AI models.

2. Pick your install method. Here are your options, from easiest to most flexible:

   • ComfyUI Desktop (Windows/Mac) — Download the installer from comfy.org. Double-click and follow the prompts. It handles Python, dependencies, and ComfyUI-Manager (the tool for adding extensions) automatically. Currently in beta, so expect occasional rough edges.
   • Portable version (Windows only) — Download a zip file, extract it, and run. No install needed. Good if you want to keep ComfyUI on a USB drive or separate folder.
   • comfy-cli (all platforms) — If you have Python installed already, run three commands: pip install comfy-cli, then comfy install, then comfy launch. That's it.
   • Manual install (all platforms) — Clone the GitHub repo, create a Python virtual environment, install dependencies with pip. Most control, most room for errors.

3. Download at least one AI model. ComfyUI doesn't include models by default. Go to CivitAI or HuggingFace, download a checkpoint file (these are the AI models that actually generate images), and put it in your models/checkpoints/ folder. Juggernaut XL is a popular starting point — it's about 6.5 GB.

4. Open ComfyUI in your browser. Once it's running, go to http://127.0.0.1:8188. You'll see a canvas with connected boxes — those are "nodes." Each node does one step of the generation process. The default workflow is ready to go. Type a prompt in the text box and click "Queue Prompt."

Where It Shines

• Fastest local option: ComfyUI processes SDXL images about 62% faster than AUTOMATIC1111 and uses roughly 40% less memory. On the same hardware, you'll wait less.
• Runs the newest models: Flux, SDXL, Stable Diffusion 3.5, video models — ComfyUI supports them first. If a new model drops, ComfyUI usually has a workflow for it within days.
• Workflows are portable: Every workflow saves as a JSON file. You can share them, download other people's workflows, or even extract them from generated images. It's like having a recipe you can copy exactly.
• Works offline: After the initial setup and model downloads, ComfyUI runs without an internet connection. No data leaves your machine.

Where It Struggles

• The learning curve is real. ComfyUI uses a node-based interface instead of a simple form. That means connecting boxes instead of filling in fields. Plan for a few hours of tutorials before you're comfortable. Some people love it. Others find it frustrating.
• Installation can be finicky. Spaces in your Windows username or file path can cause Python errors. The Desktop beta app has had bugs — one update accidentally deleted custom nodes. If something breaks, troubleshooting requires some command-line comfort.
• Models aren't included. You have to download AI models separately (2–7 GB each). CivitAI is the main source, but it requires creating an account with age verification for some models.
• Custom nodes add complexity. ComfyUI's power comes from community extensions called "custom nodes." But managing them — installing, updating, resolving conflicts — can get confusing fast.

Pro Tips

1. Start with the Desktop app. Even if you're technical, the Desktop installer avoids 90% of the setup issues. You can always switch to manual later.

2. Install to a path with no spaces. If your Windows username has a space (like "John Smith"), install ComfyUI to something like C:\ComfyUI instead. This prevents the most common Python error beginners hit.

3. Watch one beginner tutorial before opening ComfyUI. The node interface makes a lot more sense after a 15-minute video. Without context, the canvas of connected boxes looks overwhelming. With context, it clicks quickly.

Alternatives for This Use Case

Verdict

ComfyUI is the most powerful local install option in 2026. It's faster, more flexible, and supports more models than any alternative. The tradeoff is the learning curve — you'll spend time learning nodes before you're productive. If that sounds interesting, ComfyUI is absolutely worth it. If you just want to type a prompt and get an image today, start with Forge or Fooocus and come back to ComfyUI later.