Sold by: Meetrix.io
Deployed on AWS
This is an API compatible single-click deployment AMI package of "Fooocus" with a web UI, which is your gateway to effortless image creation, harnessing the power of AI. Designed for both beginners and experts, this is a perfect alternative for costly products such as Midjourney, DALL-E and Firefly.
Overview
Fooocus Software & API Step-by-step Guide: https://meetrix.io/blogs/how-to-set-up-fooocus-api-configuration-aws-developer-guide/ Fooocus Video Guide: https://youtu.be/f7B3r8Xwz58 For custom projects of your choice with personalized support, contact us on https://meetrix.io/contact-us
This is a repackaged AMI product of Fooocus, an advanced image generation software inspired by Gradio, with design principles drawn from Stable Diffusion and Midjourney, emphasizing user-friendliness and accessibility.
This comes pre-configured with an active Application Programming Interface (API) and additionally offers a user-friendly web interface.
Fooocus's preloaded APIs allow universal access and seamless integration across diverse systems, supporting Python, JavaScript, and multiple programming languages.
Fooocus streamlines image creation by automating adjustments, allowing users to solely focus on prompts. Its standout features include internal optimizations, freeing users from technical complexities for creative exploration and enhanced imagination.
Advanced users will appreciate Fooocus's exclusive features designed to deliver impeccable results. These specialized functionalities cater to the needs of experienced users seeking perfection in their image generation endeavors. The software's installation process has been streamlined for simplicity.
Why Choose Fooocus by Meetrix: API-enabled product Web User Interface Automatic SSL Hassle-free Deployment Pre-configured AMI Pay-Per-Hour Flexibility Excellent Customer Support
Highlights
- API Integration: Seamlessly connect with other software tools you rely on. Huge plus point for Startup AI ventures.
- One-Click Deployment: Set up effortlessly and get started instantly.
- Pay-Per-Hour Flexibility: Only pay for the hours you use, not per user. True cost efficiency.
Details
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Delivery method
Delivery option
cloudformation template for fooocus
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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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. 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.
Dimension | Cost/hour |
|---|---|
g4dn.2xlarge | $0.019 |
g4dn.12xlarge | $0.048 |
g4dn.16xlarge | $0.048 |
g4dn.4xlarge | $0.029 |
g4dn.metal | $0.048 |
g4dn.8xlarge | $0.048 |
Dimensions summary
You pay by the hour for the EC2 GPU instance size you run this AI image generation software on. The six options are all g4dn instance types that differ by compute capacity: g4dn.2xlarge, g4dn.4xlarge, g4dn.8xlarge, g4dn.12xlarge, g4dn.16xlarge, and g4dn.metal. Larger instance types carry more vCPUs and GPU resources, so your hourly rate scales with the size you pick. You choose one instance type at launch to match your workload. The vendor recommends g4dn.2xlarge for typical image generation performance. Billing runs only while the instance is running, and you can stop it to pause charges.
Top-of-mind questions for buyers
The g4dn instance family provides NVIDIA GPU acceleration for AI image workloads. The vendor recommends g4dn.2xlarge for typical image generation performance. Larger g4dn sizes add more vCPUs and GPU capacity for heavier or concurrent generation. You pick one size at launch to match your expected workload.
Hourly software charges apply only while the instance runs. You can stop the instance from the EC2 console to halt those charges, then start it again later. Note that stopped instances may still incur AWS storage fees for the attached disk, separate from the software rate.
You choose the instance type manually at launch through the CloudFormation template. To change size, you relaunch the stack with a different g4dn type. There is no automatic scaling between the six options. If a size lacks capacity in your region, you may need to try another region or time.
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Delivery details
cloudformation template for fooocus
fooocus generates images based on user prompts. This scripts deploy whole fooocus infrastructure with a dashboard in a given AWS account
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
Second Release
Additional details
Usage instructions
Click the "Continue to Subscribe" button. After subscribing, you will need to accept the terms and conditions. Click on "Accept Terms" to proceed. Please wait for a few minutes while the processing takes place. Once it's completed, click on "Continue to Configuration".
Access the application dashboard via a browser at http://<Public IPv4 address>/. Access the API at http://<Public IPv4 address>/docs.
Fooocus instance will be assigned a IAM role to have the permission to access the Route53 and create Letsencrypt SSL certificates. Apart from that the volume permissions also given for changing volume type of the instance. Note that 'Admin email' is required for generating the SSL certificates.
If the automatic SSL creation is not successful then you have to point domain name to server IP, ssh into server and run /root/certificate_generate_standalone.sh. Kindly use port '22' and user 'ubuntu' for ssh purpose.
For more information please read our developer guide: https://meetrix.io/blogs/how-to-set-up-fooocus-api-configuration-aws-developer-guide/
Resources
Vendor resources
Support
Vendor support
Please contact us through support@meetrix.io . Please allow up to 12 hours for our support team to address your request. https://meetrix.io/contact-us
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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API Integration
Preloaded APIs supporting Python, JavaScript, and multiple programming languages for seamless integration across diverse systems
Web User Interface
User-friendly web interface for image generation with automated adjustments and prompt-focused workflow
Single-Click Deployment
Pre-configured AMI package enabling hassle-free deployment with automatic SSL configuration
Image Generation Engine
Advanced image generation software with internal optimizations and specialized functionalities for automated adjustments and creative exploration
Multi-Language API Support
Universal API access supporting multiple programming languages for cross-platform compatibility and integration
Dual Remote Access Methods
RDP connectivity on port 3389 compatible with Microsoft Remote Desktop, Remmina, and FreeRDP clients, plus web-based browser access on port 8080 requiring no additional client software installation
Operating System and Desktop Environment
Ubuntu 22.04 LTS (Jammy Jellyfish) with Gnome Desktop Environment, supported with security updates through April 2027, and automatic security updates enabled by default
Encryption and Security Protocols
RDP connections encrypted via TLS and web interface served over HTTPS, with configurable AWS Security Groups for restricting ingress to known IP ranges on ports 3389, 8080, and 22
Pre-installed Software Stack
xRDP Server for RDP connectivity, web-based remote access interface, Firefox web browser, and standard Ubuntu system utilities including file browser and system tools
Cloud Integration and Management
Integration with AWS Systems Manager for patch management and Amazon CloudWatch for instance monitoring and usage tracking
Multi-user Support
Support for up to 300 concurrent remote users
Multi-session Capability
Multi-session remote desktop functionality enabling multiple simultaneous connections
Windows Remote Desktop Protocol
Windows Remote Desktop implementation for remote access and control
Microsoft Windows Server Environment
Amazon EC2 instance running Microsoft Windows Server operating system
Cloud Computing Infrastructure
Deployment on AWS cloud computing platform with high-performance and reliable infrastructure
Standard contract
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