Create GUI App with Stable Diffusion, Docker, and Flask - Beginner Friendly!

Описание к видео Create GUI App with Stable Diffusion, Docker, and Flask - Beginner Friendly!

In this simple coding tutorial, you will learn how to make your own Generative AI application with Stable Diffusion, Docker, and Flask. The app will take in a user-provided text prompt and convert it into high-resolution images. (Total size of 2048 x 2048 pixels! 😱)

We will also dive into Docker Init, Diffusers, CUDA, FreeU, EDSR, OpenCV, and Docker Scout. And as usual, we will do it step by step, explaining every concept and technical term as we go. This tutorial is suitable for beginner to intermediate-level Python developers, and much of it is already covered in previous tutorials! So if you're a regular viewer - it's right up your alley! 😉

To follow along, you will fist need to:
⭐ Download Docker Desktop: https://dockr.ly/3LsbwkN

And if you are curious about continuing exploring generative AI with Docker on your own:
⭐ Learn how to containerize your GenAI App: https://dockr.ly/4d3CA5P

🔗 ALL TUTORIAL LINKS 🔗
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Please find the all the links and URLs I mention in the video inside the REFERENCES SECTION, at the very end of my:
⭐ Stable Diffusion App Blog Post: https://www.pythonsimplified.org/post...

(trying something new, please let me know in the comments if it's convenient.)

👩‍💻 OpenCV Installation Dockerfile Command 👩‍💻
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RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y

⏰ Time Stamps ⏰
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00:00 - Intro
00:42 - Install Docker Desktop
01:51 - Clone Starter Files from Github
02:39 - Docker Init
04:51 - Clone Stable Diffusion Model
06:46 - Stable Diffusion Requirements
07:20 - Generate Images from Text with Stable Diffusion
08:08 - Enable FreeU to Control Image Quality
10:45 - Update Container Dynamically with Debug Mode
11:48 - Set Admin Container Privileges
14:33 - Use GPU for Stable Diffusion with CUDA and Docker
18:09 - Upscale Images with EDSR and OpenCV
18:58 - OpenCV Requirements for Docker Containers
19:58 - Use EDSR Model for Image Super Sampling
26:27 - Unique File Naming with Datetime
29:26 - Licensing
31:18 - Publish Application on DockerHub
34:04 - Scan Image for Vulnerabilities with Scout
35:29 - Run Published Image After it Was Pulled from DockerHub
37:24 - Thanks for Watching! :)

🎥 Related Tutorials 🎥
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⭐ Introduction to Docker:
   • Docker Simply Explained with a Machin...  
⭐ Introduction to Flask Applications:
   • Simple Web App with Flask and Heroku ...  
⭐ Create Advanced Flask Application:
   • Flask SQLite Web Application Step by ...  
⭐ Introduction to CUDA:
   • CUDA Simply Explained - GPU vs CPU Pa...  
⭐ Draw Images with OpenCV:
   • Draw with OpenCV - No more Photoshop!...  
⭐ OOP with OpenCV:
   • Draw a Forest of Random Tree Objects ...  
⭐ If Name Equals Main:
   • If __name__ == "__main__" for Python ...  
⭐ List Comprehension:
   • List Comprehension - BEST Python feat...  
⭐ Introduction to Datetime:
   • Ultimate Guide to Datetime! Python da...  

🤝 Connect with me 🤝
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🔗 Github:
https://github.com/mariyasha
🔗 X:
https://x.com/MariyaSha888
🔗 LinkedIn:
  / mariyasha888  
🔗 Blog:
https://www.pythonsimplified.org
🔗 Discord:
  / discord  

💳 Credits 💳
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⭐ Beautiful titles, transitions, sound FX:
mixkit.co

#python #pythonprogramming #pythontutorial #stablediffusion #genai #generativeai #texttoimage #application #tutorial #pythontutorial #learnpython #ai #artificialintelligence #ml #machinelearning #flask #opencv #transformers #cuda #gpu

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