In this post, I would like to share with you my project on the discovery of “Stable Diffusion”.
Introduction
Stable Diffusion is an advanced AI model designed for image generation and transformation. It relies on deep learning techniques to process and modify images in a creative and realistic manner. Initially 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 for the easy deployment of “Stable Diffusion XL with Controlnet” in the AWS cloud on an EC2 instance. It automates the creation and configuration of the necessary infrastructure to run “Stable Diffusion XL with Controlnet”. The installation of Stable Diffusion is performed manually once the EC2 instance 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 GO GDDR6, 4 Intel Cascade Lake vCPUs, 16 GO RAM). The deployment of Stable Diffusion is done using 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.
> > > > > > > > > > Visit my project on GitLab by clicking here < < < < < < < < <
This document was translated from the French version by the Mistral-medium model.