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    Comfy UI: Stable Diffusion AI Image Generation Made Simple

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    This product has charges associated with it for seller support. Experience powerful AI image generation with Comfy UI! This preconfigured environment features an intuitive graph/nodes interface, a modular design for customizable workflows, Stable Diffusion image models and a RESTful API for seamless integration. Ideal for creators, developers, and researchers alike
    Listing Thumbnail

    Comfy UI: Stable Diffusion AI Image Generation Made Simple

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    Overview

    This is a repackaged open source software product wherein additional charges apply for support by TechLatest.net.

    Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide 

    Unlock the full power of AI-driven creativity with the Comfy Diffusion VM, a ready-to-deploy virtual machine that brings you Comfy - the most modular and versatile diffusion model interface. Built for artists, developers, and AI enthusiasts, Comfy combines a feature-rich GUI, REST API, and backend framework, all accessible through an intuitive graph-based interface.

    With Comfys node-driven design, users can easily map out complex diffusion processes, experiment with custom pipelines, and create intricate, highly customizable outputs. Ideal for generating unique images, manipulating visual styles, or applying creative effects, this VM is tailored for those who want to leverage cutting-edge diffusion models with minimal setup.

    Features:

    • Powerful Node Graph Interface: Design complex image processing workflows with ease using a drag-and-drop nodes system.

    • Flexibility: Ability to choose any image AI model like Stable Diffusion of your liking or extend the existing models

    • Fully Modular Architecture: Integrate, modify, and customize diffusion models to meet specific project requirements.

    • API Access: Automate workflows or integrate Comfy with other applications via a ro-bust REST API.

    • One-Click Setup: Get started instantly with Comfy pre-installed and pre-configured.

    Use Cases:

    1. Creative Content Generation: Ideal for digital artists, graphic designers, and content creators, the Comfy UI VM supports complex, multi-stage image workflows for creating detailed and unique visuals.

    2. AI/ML Experimentation: Researchers and developers can leverage the diffusion model interface to test and refine model behaviors, train custom workflows, and experiment with cutting-edge AI techniques.

    3. Automated Workflow Integration: Utilize the RESTful API for automated, repeatable image processing tasks, including in web applications or CI/CD pipelines for media-based projects.

    4. Educational & Collaborative Use: Perfect for instructors, students, and teams needing a controlled, accessible environment to learn, share, and explore the potential of diffusion-based image synthesis.

    The Comfy UI Virtual Machine offers a seamless and scalable solution for users looking to explore the full power of Comfys capabilities with minimal setup effort. Perfect for those needing a flexible, high-performance environment to push creative and experimental boundaries.

    Disclaimer: Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.

    In order to deploy and use this VM offer, users are required to comply with Stable Diffusion Licensing terms. For more details on the SD licensing terms, please refer to the following link:

    Highlights

    • Comfy UI Cloud VM: Your All-in-One UI & API Solution for AI Image Workflow Creation and Automation

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 22.04 LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.276/hour

    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

    Comfy UI: Stable Diffusion AI Image Generation Made Simple

     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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (509)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.xlarge
    Recommended
    $0.09
    $0.186
    $0.276
    t2.2xlarge
    $0.09
    $0.371
    $0.461
    t3.xlarge
    $0.09
    $0.166
    $0.256
    t3.2xlarge
    $0.09
    $0.333
    $0.423
    t3a.xlarge
    $0.09
    $0.15
    $0.24
    t3a.2xlarge
    $0.09
    $0.301
    $0.391
    m1.xlarge
    $0.09
    $0.35
    $0.44
    m2.xlarge
    $0.09
    $0.245
    $0.335
    m2.2xlarge
    $0.09
    $0.49
    $0.58
    m2.4xlarge
    $0.09
    $0.98
    $1.07

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Will be charged for usage, can be canceled anytime and usage fee is non refundable.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    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

    first release

    Additional details

    Usage instructions

    1. On the EC2 Console page, instance is up and running. To connect to this instance through putty, copy the IPv4 Public IP Address. (refer Putty Guide available at https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/putty.html  for details on how to connect using putty/ssh).

    2. Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH- >Auth->Credentials , click on Open.

    3. Login as ubuntu user.

    4. Update the password of ubuntu user using below command :

      sudo passwd ubuntu

    5. Once ubuntu user password is set, access the GUI environment using RDP on Windows machine or Remmina on Linux machine. Copy paste the Public IP of the VM and paste it in the RDP. Login with ubuntu user and its password.

    6. Comfy UI is accessible via https://vm-public-ip/  . Make sure to use https and not http. Accept the SSL browser warning. Start experimenting your AI-driven creativity.

    Support

    Vendor 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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