Generating Images with Machine Learning

Learn how to use generative AI models for concept art & design

Course description

During this course weโ€™ll explore how text-to-images generative models help define new visual languages but also how they alter our perception of reality as a society. As a group, we will explore how artists can use IA in a co-creation process by making its core concepts & techniques more explicit. We will also take a critical look at Machine Learning from the inside and discuss its ethical dilemmas with real-world examples. Participants can expect to be equipped with creative and critical tools that allow them to develop their own projects and create alternative, inclusive visual narratives.

Learning Outcomes

  • Learn about prompt engineering for generative imagery
  • Apply advanced techniques for visual compositing
  • Explore various models and learn how to train your own
  • Discuss ethical dilemmas and develop critical thinking on the field

Syllabus

1 โ€“ Enter the Latent Space ๐Ÿš€

Understand the underlying concepts of Machine Learning, discover the application fields to get inspired and generate your first images.

Objectives

  • Introductions, set up collaborative tools
  • Learn about how generative models work
  • Set up application for creative AI

2 โ€“ Fundamentals of Image Generation โœ๏ธ

Improve your prompt engineering technique for image generation. Explore various models to experiment with a wide range of styles.

Objectives

  • Get better at writing prompts for text to image
  • Explore how different models react differently
  • Play with prompts & aesthetics

3 โ€“ Refine Images ๐ŸŽจ

Explore how to use post-processing techniques to achieve richer details in your images.

Objectives

  • Learn about inpainting, outpainting and upscaling
  • Apply custom styles with IP Adapter

4 - Control Adapters ๐Ÿ“

Learn advanced techniques for concept art & visual prototyping to gain more control over your workflow and final composition.

Objectives

  • Discover various ControlNet processors
  • Further skills in compositing with Image to Image techniques

5 โ€“ Model Training ๐Ÿ’พ

Discover the different training techniques. Explore how to use fine-tuned models. Learn how to train your own model.

Objectives

  • Discover the most popular model training techniques
  • Train a model with LoRA
  • Use the LoRA model for text to image

6 โ€“ Final Presentations โœจ

Share your projects with your peers. Reflect on the 6 weeks and share about how your perception and understanding of AI has changed.

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