Stable Diffusion v1-5 1B Setup for AMD GPU | ControlNet & AI Image Generation in Minutes!

In this screencast, I walk you through setting up Stable-Diffusion.cpp with Stable Diffusion v1-5 1B on Linux using an AMD Instinct Mi60 32GB HBM2 GPU. Learn how to configure the system, download the necessary model weights, and start generating high-quality AI images with just a few simple commands.

This setup is super lightweight and does not require Python, making it perfect for users who want a fast, efficient image generation tool. I also dive into ControlNet support, showing you how to use advanced image manipulation techniques.

Check out the step-by-step guide in the video and follow along to build your own generative AI image creation setup.

Blog article for more details: https://ojambo.com/review-generative-ai-stable-diffusion-v1-5-1b-model

If you want to learn Python, check out my book, Learning Python:
https://www.amazon.com/Learning-Python-Programming-eBook-Beginners-ebook/dp/B0D8BQ5X99

Also, check out my Learning Python course:
https://ojamboshop.com/product/learning-python

I am available for one-on-one online Python tutorials. You can contact me here:
https://ojambo.com/contact

If you need help installing or migrating Stable Diffusion v1-5 1B on your system, reach out to me at:
https://ojamboservices.com/contact

Timestamps:
0:00 - Introduction
0:45 - System Requirements
2:00 - Cloning the Repository
3:20 - Installing Dependencies
5:00 - Building the Project
8:30 - Downloading Model Weights
10:00 - Generating Your First Image
12:30 - Enabling ControlNet for Fine-Tuned Images
14:00 - Conclusion

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