The Key Noise Prediction Module in Diffusion Models Relies on UNet(AI Painting Creation Intro Course 8)
Explore UNet's role in image segmentation and AI art. Learn how it powers noise prediction in diffusion models and its unique applications across various fields.
Welcome to the "AI Painting Creation Intro Course" Series
Previously, we explored the diffusion model's noise-adding and denoising process and understood the basics of Transformers.
I also hinted earlier about using a UNet network to predict noise at each step.
Today, I'll explain the core concepts of UNet. We'll focus on answering these three questions:
How does the UNet model work?
What makes the UNet structure in various AI art models unique?
How can UNet be combined with Transformers?
By grasping these concepts, you'll be able to modify the noise prediction model in your work and lay a solid foundation for our hands-on training in diffusion models.