Terraform and AI Integration for Stable Diffusion

Engineering Dossier

Achievement Log

2024-01-15: Conducted strategic 1:1 meetings with startup CTO and delivered comprehensive enterprise AI solution. Architected and presented 5+ alternative AI architectures, engineered sophisticated automated MLOps pipeline with advanced S3-SQS-Lambda-EC2 workflow orchestration and intelligent resource management. Built enterprise-grade custom model fine-tuning system with automated image processing, advanced model training algorithms, and sophisticated deployment orchestration. Result: 70% reduction in model deployment time, 90% automation of ML workflows, and successful MVP launch.

Overview

Integrating AWS services with Terraform to create a scalable, cost-optimized environment for image generation using Stable Diffusion. The infrastructure supports AI-based image generation with automated scaling and efficient cost management.

Core Technologies

TerraformAWS VPC & SubnetsAWS LambdaStable DiffusionAWS EC2AWS DynamoDBAWS S3AWS Systems Manager (SSM)Boto3

Implementation & Architecture

Infrastructure Setup

Automated AWS resource management using Terraform.

Execution Protocol

Set up AWS Amplify for frontend deployment.
Implemented Lambda functions for image processing and request handling.
Deployed EC2 instances for Stable Diffusion model training.
Set up DynamoDB for metadata management.

AI Generation Flow

Handling user requests for image generation and optimizing resource usage.

Execution Protocol

User requests containing images are processed by Lambda functions.
Stable Diffusion model on EC2 generates images based on input.
Generated images are delivered to users with resources cleaned up after processing.

Technical Skills

Terraform
Stable Diffusion
AWS Lambda
Amazon EC2
AWS S3
Amazon DynamoDB
Amazon VPC
VPC Subnets & Routing
AWS IAM
AWS Systems Manager (SSM)
Python
Model Serving