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0:00 – Introduction: What Are Diffusion Models? – Overview of generative AI tools like Midjourney, Stable Diffusion, and DALL·E.
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Classroom Contents
How Diffusion Models Work - Understanding AI Image Generation Technology
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- 1 0:00 – Introduction: What Are Diffusion Models? – Overview of generative AI tools like Midjourney, Stable Diffusion, and DALL·E.
- 2 1:40 – How AI "Learns" Images – Training with large datasets, labeling, and the challenge of categorization.
- 3 4:10 – LAION Dataset and AI Scaling – The leap from 400 million to 5.85 billion images and its impact on model quality.
- 4 6:50 – Why AI Models Look Different – How dataset composition and curation shape the artistic or realistic tendencies of different AI tools.
- 5 8:40 – How Diffusion Models Work – The role of noise, UNet, and the iterative process of generating images.
- 6 12:00 – GANs vs. Diffusion Models – Evolution from early AI image generation techniques to today's state-of-the-art models.
- 7 15:10 – Beyond Image-Making: AI and Design – Why image generation is not the same as design and the importance of understanding AI systems.
- 8 16:30 – What’s Next? – A preview of the next session on using AI tools intentionally for better results.
