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    Fooocus on RHEL9 (For Nvidia)

     Info
    Deployed on AWS
    Fooocus is a re-imagination of how Image generation models work, go from prompt to high fidelity images in seconds. This is a repackaged open source software product wherein additional charges apply for support while launching it and connecting to the instance for the first time as well as continuous security updates available in new versions.

    Overview

    Fooocus rethinks the image generation pipeline by simplifying the process without sacrificing control. You get quality on-par with other tools like midjourney with much less steps and costs.

    This AMI provides you with already setup environment to run Fooocus and also with a one-click script that starts the Fooocus server for you. It thereby shortens the process of booting up your instance and generating images in a hassle free manner.

    Highlights

    • Easily deploy an image generation AWS instance in seconds
    • Cost effective and performant image generation software that can be scaled up on-demand
    • Your prompts and your generated data never leave your AWS instance since image is generated locally

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Rhel 9

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Fooocus on RHEL9 (For Nvidia)

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (5)

     Info
    Dimension
    Cost/hour
    g4dn.xlarge
    Recommended
    $0.008
    g4dn.2xlarge
    $0.022
    g4dn.12xlarge
    $0.14
    g4dn.4xlarge
    $0.067
    g4dn.8xlarge
    $0.089

    Vendor refund policy

    Refunds are not provided for this AMI. Please review the product details and documentation before subscribing.

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    Legal

    Vendor terms and conditions

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    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Miscellaneous Bug fixes

    Additional details

    Usage instructions


    Step1: Launch an Instance

    • Launch an instance using the Fooocus AMI
    • Choose a GPU-enabled instance type with at least 4GB of NVIDIA GPU memory
    • Ensure your security group allows inbound TCP traffic on port 7865.

    2. Connect to the Instance

    Use SSH to connect to your instance:

    ssh -i /path/to/your-key.pem ec2-user@<your-instance-public-IP>

    3. Start the Fooocus Server

    Run the provided script to start Fooocus:

    ./start_fc.sh

    This launches the server in the foreground. To run it in the background (detached mode), use:

    ./start_fc.sh -d

    Detached Mode: This will start the server in the background, allowing the terminal to remain free or be closed without interrupting the service.


    4. Access the Web UI

    Once started, open your browser and go to:

    http://<your-instance-public-IP>:7865

    You will see the Fooocus interface, ready for your image generation tasks.


    5. Stop the Server

    • For foreground mode, press Ctrl+C in the terminal.
    • For detached mode, use:
    pkill -f fooocus

    Or terminate the instance when finished.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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