Learn Generative AI w Stable Diffusion, ComfyUI & GGUF Flux | Udemy

For Beginner’s who are looking to dive into Generative AI – making images out of text.

UPDATED OCTOBER 2025

ComfyUI is an advanced node-based UI that utilizes Stable Diffusion. It allows you to create customized workflows such as image post-processing or conversions. It is a powerful and modular stable diffusion GUI with a graph/nodes interface. This UI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. It is an extremely powerful Stable Diffusion graphical user interface and the graph/nodes interface is ideal for advanced users as it gives precise control over the diffusion process without any coding being required.

ComfyUI is an amazing tool that can help you achieve your goals with ease and precision. Its advanced features and user-friendly interface make it a top choice for anyone looking to work with Stable Diffusion. Give it a try and see for yourself how it can help you achieve your goals!

System Requirements

A graphics card from Nvidia with at least 4GB of VRAM hugely improves performance of this software.  More video card VRAM than this is recommended.  Running without an Nvidia GPU is possible but will be extremely slow.

Stable Diffusion is a deep learning, text-to-image model that was released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, but it also possesses powerful compositional and post processing potential.

Prompts are at the core of using Stable Diffusion and other Generative AI models.

Prompt engineering is the art of communicating with a generative AI model using natural language. Prompt engineering has been described as the number “one job of the future” at the World Economic Forum and as “an amazingly high-leverage skill and an early example of programming in a little bit of natural language” by Sam Altman, one of the founders of Open AI.

It involves crafting input text that instructs the model on what to do and how to do it, as well as providing, cues, and supporting content to guide the model’s output. Prompt engineering is a valuable skill for constructing intelligent outputs with generative AI, as it can unlock the potential of large language models (LLMs) that have been trained on massive amounts of data.

The course will touch lightly on theory and focus on practicalities, but the theory is always a foundational aspect of the material explored here.

Attention to detail and open-mindedness are essential in Generative AI and both are encouraged throughout the course. The course aims to provide a solid foundational understanding of the software that will act as a launchpad for further exploration.