In this post, I would like to share with you my project on the discovery of “Stable Diffusion”.
Introduction
Stable Diffusion is an advanced artificial intelligence model designed for image generation and transformation. It relies on deep learning techniques to process and modify images in a creative and realistic way. 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 you to easily deploy “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 done manually once the EC2 is available (with a guide to copy/paste).
To limit EC2 costs, a spot instance of type g4dn.xlarge is used (1 NVIDIA T4 16 GB GDDR6 GPU, 4 Intel Cascade Lake vCPU, 16 GB RAM).
The deployment of Stable Diffusion is done 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.
> > > > > > > > > > Visit my project on GitLab by clicking here < < < < < < < < < <
This document was translated from fr version to en language using the claude-3-opus-20240229 model. For more information about the translation process, see https://gitlab.com/jls42/ai-powered-markdown-translator