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Deployed on AWS
This product has charges associated with it for seller support. This VM provides an AUTOMATIC1111 web based Stable Diffusion environment which is AI deep learning, text-to-image model.
Overview
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Stable Diffusion Web UI with latest XL model
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Stable Diffusion Web UI
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SD API
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SD Image Browser extension
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Install extensions from WebUI
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
Stable Diffusion is open sourced State of the Art text to image AI model. It generates detailed images based on the given text prompts along with other capabilities such as inpainting, outpainting, and generating image-to-image translations. These capabilities along with its open-source nature makes it the best choice for creating AI Arts as compared to other closed source options available.
This VM is pre-configured for Stable Diffusion with an enabled API (Application Programming Interface) and also includes the widely used AUTOMATIC1111 web interface. Below are some of the key benefits of using this VM
In addition, the Stable Diffusion Web interface provides following benefits on top of the Stable Diffusion capabilities
and lot more .
Please follow step by step guide to provision and connect to this VM at http://www.techlatest.net/support/stable_diffusion_support/aws_gettingstartedguide/
Full feature details available at https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features
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.
Credits:
https://github.com/CompVis/stable-diffusion.git
https://github.com/AbdBarho/stable-diffusion-webui-docker
https://github.com/AUTOMATIC1111/stable-diffusion-webui
https://github.com/Sygil-Dev/sygil-webui
https://github.com/invoke-ai/InvokeAI
Note: This is Stable Diffusion with AUTOMATIC1111 Web Interface. If you are looking for the Stable Diffusion with InvokeAI Web Interface please visit- https://aws.amazon.com/marketplace/pp/prodview-5ww6m4p3tbzj4 .
Highlights
- Providing you the power of Stable Diffusion AI to generate images never seen before
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
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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 |
|---|---|
t2.2xlarge Recommended | $0.10 |
g5.4xlarge | $0.10 |
c6a.4xlarge | $0.10 |
m5ad.4xlarge | $0.10 |
c6a.2xlarge | $0.10 |
g5.2xlarge | $0.10 |
m5.8xlarge | $0.10 |
m5ad.2xlarge | $0.10 |
t3.xlarge | $0.10 |
t2.xlarge | $0.10 |
Dimensions summary
You pay by the hour for the EC2 instance running this software. Rates depend on the instance type you choose, so pricing scales with the compute power you select. The GPU options (g4dn and g5 families) suit image generation and vary by GPU count, vCPU, and memory. The CPU options (c6a, c6i, m3, m4, m5, m5ad, t2, t3, t3a families) serve as alternatives when a GPU is not used. Within each family, hourly cost rises as the instance size grows. You are billed only for hours the instance runs.
Top-of-mind questions for buyers
GPU instances (g4dn, g5 families) provide dedicated graphics processors that speed up image generation. CPU instances (c6a, c6i, m3, m4, m5, m5ad, t2, t3, t3a families) work as alternatives when a GPU is not used, but they are slower. The recommended minimum GPU is g4dn.xlarge; the CPU minimum is t2.2xlarge.
You pay the hourly software rate only while the instance runs. A stopped or powered-off instance does not accrue software charges. Underlying AWS storage fees may still apply while the instance is stopped. Billing meters running time, so idle-but-running instances still count toward your bill.
You select the EC2 instance type at launch, and it defaults to t2.2xlarge. To change size, you stop the instance and pick a new type, then relaunch. The hourly software rate then matches the new instance type you selected. GPU deployments may require an AWS quota request first.
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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
This version comes with the Stable Diffusion sdxl model, nginx and https support.
Additional details
Usage instructions
Please follow Step by step guide to setup Stable Diffusion on AWS at - http://www.techlatest.net/support/stable_diffusion_support/aws_gettingstartedguide/index.html
Resources
Vendor resources
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.
Updated weekly
By Techlatest.net
By Withywindle
By NinjaTech AI
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In Edit/Processing-Image, Generation-Image, Software Development
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In Classification-Image, Generation-Image, Edit/Processing-Image
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In Content Creation, Research
AI generated from product descriptions
Text-to-Image Generation
Generates detailed images based on text prompts using a state-of-the-art deep learning model
Image Manipulation Capabilities
Supports inpainting, outpainting, and image-to-image translation operations
API Integration
Provides pre-installed Application Programming Interface enabling integration with multiple programming languages including Python and Javascript
Web-Based User Interface
Includes AUTOMATIC1111 web interface with extensible architecture supporting plugins and extensions for additional functionalities
ControlNet Conditional Input
Augments image generation with conditional inputs such as scribbles, edge maps, segmentation maps, and pose keypoints to produce images closer to input specifications
GPU-Optimized Compute Instance
Launches GPU optimized EC2 instances for accelerated image generation and model training workloads
Image Generation from Text Prompts
Generates new images using Stable Diffusion models based on text prompt inputs
Custom Model Training
Trains custom AI models using Dreambooth extension with user-provided image data
Image Enhancement and Modification
Upscales and modifies existing images using AI-powered processing capabilities
Pre-configured Model Library
Includes pre-loaded Stable Diffusion models and vae-ft-mse checkpoint for immediate use
Multi-Agent AI Architecture
System comprises specialized agents for content creation, code generation and debugging, research, image generation, and document analysis capable of processing up to approximately 1.5 million words
Multi-Model Access
Access to over 20 premium AI models including OpenAI GPT-4o and DALL-E 3, Amazon Nova series, and Anthropic Claude 3.5 Sonnet with ability to customize model selection based on requirements
Advanced Compound AI System
SuperAgent Apex tested against industry benchmarks including Arena-Hard, achieving state-of-the-art performance as of November 2024 with optimized speed and accuracy
Data Privacy and Security
Built on AWS infrastructure with data isolation in private instances, ensuring data remains secure and is never used for training AI models
Team Management and Scalability
Business-grade features enabling addition, removal, and customization of access controls for team members with flexible scaling capabilities
Standard contract
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