🧬 ComfyUI

Jarvislabs.ai ComfyUI

Experience ComfyUI - The most powerful and modular stable diffusion GUI with a graph/nodes interface.

Launch and explore ComfyUI on Jarvislabs out of the box in less than 30 seconds ⏰. It comes with 50+ preloaded models.

Get started in 2 simple steps.

  • Launch an instance
  • Start with your creative journey

Table of Contents

Launch an instance

Start an instance with the framework as ComfyUI. Choose the required GPUs and storage.

Jarvislabs.ai Create Stable Diffusion

Start with your creative journey

Once the instance is up and running, right-click on your running instance and select the API endpoint to access the comfyUI.

Jarvislabs.ai Web Stable Diffusion

This may take a few seconds to load. You can start with your creative journey.

Launch/Modify the parameters used to launch

When the instance is started, we start the main.py from inside a tmux session. You can check that from the JupyterLab terminal.

From the terminal run the below command

tmux attach -t comfyui

The output would look something like this.

Jarvislabs.ai Web Stable Diffusion

If you do a 'CTRL + C', the application will stop. You can launch it again using the below command.

cd /home/ComfyUI/
python ComfyUI/main.py --port 6006 --listen


ComfyUI makes Stable Diffusion super easy to use, even for people who aren't tech experts! It's like building with blocks: you just drag and drop things to create your artwork, no coding needed. It's got tons of cool features and now works with ControlNets too, so you can make even more amazing stuff!
ComfyUI is free to use on your own computer. However, you may need to pay for cloud computing resources like Jarvislabs depending on your hardware limitations.
Yes, you can share your workflows with others. Just click the save button on the toolbar, and a JSON file will be saved to your local PC.
There are two main ways to run ComfyUI: on your own PC or using an online GPU instance. The requirements vary slightly for each method.

On Your Own PC:


  • GPU: A decent NVIDIA GPU with at least 8GB of VRAM (e.g., RTX 3060 Ti or higher).
  • CPU: A modern processor (i5 or Ryzen 5 or higher).
  • RAM: 16GB or more.


  • Operating System: Windows 10/11 or Linux.
  • Python: Python 3.10 with libraries like PyTorch and CUDA Toolkit pre-installed.
  • Command Line: Basic comfort with command prompts.


  • Download files for the Stable Diffusion model (e.g., 1.5 or 2.1) and ComfyUI itself.
  • Sufficient storage space on your PC for models and generated images.

Using an Online GPU Instance:


  • No powerful PC needed; processing happens on cloud servers.


  • Web Browser: Any modern browser like Chrome, Firefox, Edge, etc.
  • Internet Connection: Stable and high-speed for smooth processing and file transfers.
  • Cloud Account: Sign up for a service providing access to powerful GPUs for a fee (e.g., Jarvislabs, Google Colab, Paperspace).

Choose the option that best suits your budget, technical skills, and available hardware.

ComfyUI has a dedicated node for ControlNets. You can simply add this node to your workflow and connect it to other nodes to influence the image generation process.