Generative Art with Stable Diffusion
FREE
Upcoming cohort
Oct 22, 2025Meeting time
Wednesday, 12:00PM ET
What will I learn?
- Understand how diffusion models convert text prompts into images
- Generate images from text using a Stable Diffusion pipeline
- Apply advanced conditioning techniques such as ControlNet and Img2Img to refine results
- Explore inpainting for targeted edits and creative transformations
- Understand the role of LoRA adapters and how they extend diffusion models with custom styles or subjects
Curriculum
Foundations of Diffusion Models
Building with Stable Diffusion
Conditioning and Customization
Extending with LoRA Adapters
Why Edlitera?
Build the coding, data and AI skills you need, online, on your own schedule. From learning to code as a beginner to mastering cutting-edge data science, machine learning and AI techniques.
Learning for the real world
Our courses are made with the input and feedback of top teams at Fortune 500 companies in Silicon Valley and on Wall Street.
No-fluff learning
Each minute of each course is packed full of insight, best practices and real-world experience from our expert instructors.
Learn by doing
Start writing code on your computer from Day One. Practice on hundreds of exercises. Apply your skills in mini-projects. Get instant feedback from video solutions.
Complete learning tracks
With over 150 hours of video lectures and hundreds of practice exercises and projects, our learning tracks will help you level up your skills whether you are a novice or an advanced learner.
What people are saying
"I walked into the bootcamp with some basic Python syntax and walked out with a much stronger, contextualized grasp of Python, an understanding of common mistakes, the ability to solve basic coding problems, and confidence in my ability to learn more."
Randi S., Edlitera Student
"I wanted to learn Python and be able to process data without being tied and limited by Excel and macros. These classes gave me all the tools to do so and beyond. The materials provided, the engagement of the class by the tutors and their availability to help us were excellent."
Gaston G., Edlitera Student
Course Syllabus
1. Text-to-Image Generation
- The simplest Stable Diffusion use case: from prompt to image
- Using a pretrained v3.5 model with float16 weights for faster inference
- Key parameters
2. Image-to-Image (Img2Img)
- Transforming an input image with new prompts
- Applications for style transfer and creative reinterpretation
3. Inpainting
- Selectively editing images with masks
- Replacing or refining parts of an image while preserving context
4. ControlNet
- Adding conditions like edges, depth maps, or human poses
- How the control network guides the denoising process
- Loading different pre-trained ControlNet models for specific tasks
5. LoRA Adapters
- Fine-tuning Stable Diffusion with lightweight LoRA checkpoints
- How LoRA modifies U-Net and text encoder weights
- Mixing LoRAs to quickly experiment with custom styles and subjects
Have a question?
Contact us any time, we'd love to hear from you!