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In today's video, Kay introduces textual inversion, a method that allows you to personalize a stable diffusion model with your own images using only three to five samples. By training stable diffusion with images of your choice, you can make it recognize and apply your style to other images. This allows stable diffusion to understand the core concepts of the images, like recognizing a cat toy in the example shown. Now, you can apply your own images and style to create unique and personalized outputs using textual inversion.