BlackSkye View Providers

Introduction

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Conclusion

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GPU Providers

Run Comfy UI on RunPod with Persistent Storage Guide

Setting Up Comfy UI on RunPod with Network Storage: Complete Guide
David
June 14, 2025
•
5 min read
Illustration of Comfy UI running on a cloud server with persistent network storage.

Running Comfy UI on RunPod's powerful 50-series Nvidia GPUs like the 5090 can dramatically enhance your workflow. This comprehensive guide shows you how to set up Comfy UI with persistent storage, allowing you to shut down your server when not in use while preserving all your work.

Create Your RunPod Account and Network Storage

Sign up for a RunPod account and fund it with at least $5
Navigate to the storage tab and click "New Network Volume"
Select a region that offers 5090 GPUs (Europe currently has availability)
Name your volume for reference purposes
Choose a conservative initial storage size (50GB recommended) - you can increase it later but cannot decrease it
Click "Create Network Volume"

Deploy Your Pod with the Right Configuration

Go to the Pods page and click "Deploy"
Select your newly created network volume at the top
Choose a 5090 GPU from the Secure Cloud option (preferred over Community Cloud)
Select the PyTorch 2.8 template
Click "Edit Template"
Add port 8188 (Comfy UI's default port)
Click "Set Overrides"
Click "Deploy on Demand"

Setting Up the Environment

Once your pod starts, expand it and connect to JupiterLab
In JupiterLab, open a terminal
Use wget to download the setup script:
wget --content-disposition [script URL]
Verify you're in the workspace directory
Run the script:
bash comfy_ui_setup.sh
Wait approximately 10 minutes for the script to complete installation

Activating Your Environment and Running Comfy UI

Once the script completes, activate the base environment:
source ~/miniconda3/etc/profile.d/conda.sh
Open a new terminal (you should see "base" prefixed)
Activate the Comfy UI environment:
conda activate comfy_ui
Change to the Comfy UI directory:
cd comfy_ui
Start Comfy UI:
python main.py --listen
Return to your RunPod tab, expand your pod, and connect to port 8188
Comfy UI should now be running in your browser

Conclusion

With this setup, you can now harness the power of 5090 GPUs on RunPod for Comfy UI while maintaining persistent storage. The network volume allows you to shut down your server when not in use and resume your work later, saving costs without losing progress. In an upcoming guide, we'll cover how to add models to your installation.