ComfyUI AI Image Generator – Pre-Built AMI with Stable Diffusion & NVIDIA Drivers

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About

ComfyUI is a highly flexible, powerful, and user-friendly node-based interface for Stable Diffusion that enables advanced AI image generation workflows with ease. Built for performance and transparency, ComfyUI allows users to visually construct custom pipelines for text-to-image generation, inpainting, image-to-image transformations, upscaling, and more — all without writing a single line of code.

Unlike traditional interfaces, ComfyUI uses a modular, drag-and-drop workflow where each node represents a specific step in the generation process, such as model loading, prompt input, sampling, or post-processing. This makes it easy to understand exactly how images are created and to fine-tune or modify each stage of the process independently. It’s especially suited for users who want full control over every parameter while maintaining a clear visual understanding of their AI pipeline.

ComfyUI supports a wide range of Stable Diffusion models and extensions and is compatible with GPU-accelerated environments, enabling fast and efficient generation. It also includes support for features such as LoRA models, ControlNet, image upscaling, prompt weighting, and batch processing — making it ideal for both casual users and professional AI artists or developers.

Features:

ComfyUI pre-installed and optimized

Stable Diffusion engine included

Compatible with NVIDIA GPU EC2 instances

Fast and easy deployment on AWS

No additional setup required

You can subscribe to Mautic, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into your instance with username ubuntu and key pair to start the application

Username: ubuntu

ssh -i ssh_key.pem ubuntu@instance-IP

Goto below path:

cd /home/ubuntu/ComfyUI
source venv/bin/activate            # Activate virtual environment
python main.py –listen              # Add –cpu if GPU not available

# Press Ctrl+A then D to detach

Run in the Background (Optional)
Use nohup to keep it running after closing the terminal:
nohup python main.py &

Step 2: Use your web browser to access the application at:

http://<instance-ip-address>:8188

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    Highlights

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      Node-Based Interface

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      GPU Acceleration

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      No Coding Required

    Application Installed

    • icon Linux