In this post we’ll compare different image stylization techniques, explore why ControlNet and Stable Diffusion are the winning combination of a super stylizer, that can truly transfer arbitrary styles and generate immersive and high quality results. ControlNet Samples Gallery screenshot 1 The concept of image stylization Image stylization is the process to combine the style of one input image with the content of another input image to generate a new image with the style of the first and the content of the second image. The content of an image consists of the objects, the shapes, and the overall structure and geometry of the given image. For example, the content of the image below contains a cat: On the other hand, the style of an image has to do with the textures, the colors, and the patterns. For example, the image below depicts a painting by Claude Monet (Nymphéas), the style of this image is unique and is related to the artistic style of Monet: Nymphéas, 1915, Musée...
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