In this post, I would like to share with you my project exploring “Stable Diffusion”.
Introduction
Stable Diffusion is an advanced artificial intelligence model designed for the generation and transformation of images. It relies on deep learning techniques to process and modify images in a creative and realistic way. Originally designed to generate images from textual descriptions, Stable Diffusion has evolved to also accept images as input. This capability makes Stable Diffusion particularly useful for applications such as photo retouching, AI-assisted artistic creation, and image quality enhancement.
About the Project
This project allows easy deployment of “Stable Diffusion XL with Controlnet” in the AWS cloud on an EC2.
It automates the creation and configuration of the infrastructure necessary to run “Stable Diffusion XL with Controlnet”.
The installation of Stable Diffusion is performed manually once the EC2 is available (with a copy/paste guide).
To limit EC2 costs, a spot instance of type g4dn.xlarge is used (1 NVIDIA T4 GPU 16 GB GDDR6, 4 vCPU Intel Cascade Lake, 16 GB RAM).
The deployment of Stable Diffusion is carried out with the AUTOMATIC1111 installer.
Architecture
Project Objectives
- Image generation : Generate high-quality images from a prompt.
- Accessibility : Make these technologies accessible and understandable.
- Open collaboration : Encourage collaboration and knowledge sharing.
This document was translated from the French version into English using the gpt-5-mini model. For more information about the translation process, see https://gitlab.com/jls42/ai-powered-markdown-translator