Build an AI Image Generator App
Build a complete AI image generation web application from scratch. You will integrate Stable Diffusion APIs, craft smart prompts with LLM enhancement, build a responsive gallery UI, add advanced features like inpainting and upscaling, and deploy everything with Docker. Full working code at every step.
Project Build Steps
Follow each lesson in order to build the complete application, or jump to the feature you need.
1. Project Setup
Architecture overview, choosing between Stable Diffusion API vs local models, and setting up your Python, FastAPI, and frontend tech stack.
2. Image Generation API
Integrate Stability AI and Replicate APIs, handle prompts and parameters, store generated images, and build your FastAPI backend.
3. Prompt Enhancement
Auto-improve user prompts with an LLM, add style presets and negative prompts, and build a prompt template system.
4. Web UI
Build a responsive gallery view, prompt history panel, image download functionality, and a polished user interface.
5. Advanced Features
Add image-to-image generation, inpainting, upscaling, and batch generation to make your app production-grade.
6. Deploy & Scale
Containerize with Docker, add rate limiting and cost management, set up a CDN for images, and deploy to production.
7. Enhancements & Next Steps
Content moderation, user accounts, monetization strategies, and a comprehensive FAQ for running your image generator.
What You Will Build
By the end of this project, you will have a fully functional AI image generator with these capabilities:
Text-to-Image Generation
Generate high-quality images from text prompts using Stable Diffusion via cloud APIs with full parameter control.
Smart Prompt Enhancement
Automatically improve user prompts with LLM-powered enhancement, style presets, and negative prompt optimization.
Gallery & History
Browse generated images in a responsive gallery, revisit prompt history, and download images in multiple formats.
Production Deployment
Deploy with Docker, rate limiting, cost controls, and CDN-backed image serving for real-world usage.
Lilly Tech Systems