Learn how to create a Generative AI application with Stable Diffusion, Docker, and Flask in this beginner-friendly coding tutorial. Build a GUI app that converts user-provided text prompts into high-resolution images. Explore Docker Init, Diffusers, CUDA, FreeU, EDSR, OpenCV, and Docker Scout while following step-by-step instructions suitable for beginner to intermediate-level Python developers. Discover how to containerize your GenAI app, use GPU acceleration, upscale images, implement unique file naming, and publish your application on DockerHub. Gain hands-on experience with essential tools and techniques for creating powerful AI-driven image generation applications.
Create GUI App with Stable Diffusion, Docker, and Flask - Beginner Friendly
Overview
Syllabus
- Intro
- Install Docker Desktop
- Clone Starter Files from Github
- Docker Init
- Clone Stable Diffusion Model
- Stable Diffusion Requirements
- Generate Images from Text with Stable Diffusion
- Enable FreeU to Control Image Quality
- Update Container Dynamically with Debug Mode
- Set Admin Container Privileges
- Use GPU for Stable Diffusion with CUDA and Docker
- Upscale Images with EDSR and OpenCV
- OpenCV Requirements for Docker Containers
- Use EDSR Model for Image Super Sampling
- Unique File Naming with Datetime
- Licensing
- Publish Application on DockerHub
- Scan Image for Vulnerabilities with Scout
- Run Published Image After it Was Pulled from DockerHub
- Thanks for Watching! :
Taught by
Python Simplified
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