Sold by: Techlatest.net
Deployed on AWS
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
Overview
Image
Comfy UI home page
Image
Running the prompt
Image
Settings tab
Image
Supports GPU based deployment
Image
Images accessible via Remote desktop client RDP
Video
Product video
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:
- Stable Diffusion License: Stable Diffusion License
Highlights
- Comfy UI Cloud VM: Your All-in-One UI & API Solution for AI Image Workflow Creation and Automation
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
Pricing
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.
Dimension | Cost/hour |
|---|---|
t2.xlarge Recommended | $0.09 |
r7a.large | $0.09 |
r6in.12xlarge | $0.09 |
m4.10xlarge | $0.09 |
m5.xlarge | $0.09 |
t3a.2xlarge | $0.09 |
r4.2xlarge | $0.09 |
m5d.8xlarge | $0.09 |
x2iedn.4xlarge | $0.09 |
m6idn.24xlarge | $0.09 |
Dimensions summary
You pay by the hour for the software running on an Amazon EC2 instance you pick. Pricing scales with the instance you choose, not with a plan or feature tier. Each dimension maps to one EC2 instance type, so your hourly rate follows the size and capability of that hardware. Options range from small general-purpose and CPU instances to large memory, compute, storage, and GPU instances. GPU instances suit faster image generation, while CPU instances work as a lower-cost alternative. Choose the instance that fits your workload and cost target.
Top-of-mind questions for buyers
The hourly rate covers the Comfy UI software running on one EC2 instance you select. Each dimension maps to one instance type. AWS bills the underlying compute separately at its own EC2 rate. So your total combines the software charge plus the standard EC2 charge for that instance.
The software fee meters running time. A stopped or powered-off instance does not accrue the hourly software charge. You may still pay AWS for attached storage while the instance is stopped. Charges resume when you start the instance again.
GPU instances generate images about ten times faster than CPU instances. CPU instances work as a lower-cost alternative but add 10-15 minutes per job. The recommended GPU option is g4dn.xlarge; the CPU minimum is t2.xlarge. Your hourly rate follows the instance type you choose.
techlatest.net
Helpful?
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.
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
comfyui v0.27.0 on ubuntu 24.04
Additional details
Usage instructions
-
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.aws.amazon.com/AWSEC2/latest/UserGuide/putty.html for details on how to connect using putty/ssh).
-
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.
-
Login as ubuntu user.
-
Update the password of ubuntu user using below command :
sudo passwd ubuntu
-
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.
-
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
Email: info@techlatest.net
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.
Similar products
This product has charges associated with it for seller support. This ComfyUI on Ubuntu 22.04 by Arara Solutions image comes with the following softwares: ComfyUI.
ComfyUI is a highly flexible, powerful, and user-friendly node-based interface for Stable Diffusion that enables advanced AI image generation workflows with ease.
This product has charges associated with it for pre-configuration, optimization, and security hardening of ComfyUI on AWS. This is a fully ready-to-use AI-powered server for generating images, videos and animations, pre-configured for deployment on AWS with web interface and HTTPS access. Simply launch the AMI and open the media generation interface in your web browser via the server's IP address.
ComfyUI, managed for production. Full node graph, instant GPU sessions and brand-locked workflows, deployed into your own AWS account. For VFX, animation, agencies and brands.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.