Example Concept: AI models like Stable Diffusion can generate textures by learning from large datasets of real-world images. The model can create textures with realistic patterns and details, such as wood grain or fabric weave, by understanding the underlying structure and appearance of these materials. This process involves generating high-resolution images that can be seamlessly tiled or applied to 3D models, enhancing their realism and visual appeal.