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- 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! :

Description:

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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

Python Simplified

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#Computer Science #Deep Learning #Stable Diffusion #Programming #Programming Languages #Python #DevOps #Docker #Flask #Artificial Intelligence #Computer Vision #OpenCV #Software Development #CUDA #GUI Development #Docker Scout