aiTransformer

         In today's digital era, creating captivating and visually appealing content is more important than ever. Content creators face the challenge of making their videos stand out in a crowded digital space. With aiTransformer Video Cartoonizer, specialty trained AI models are used to convert live-action footages into animated visuals resembling hand-drawn or computer-generated cartoons, with original audio intact. This solution opens up thrilling possibilities for delving into the realm of animation and revitalizing videos with a fresh perspective.    aiTransformer Video Cartoonizer offers a range of 8 distinct cartoon styles: Whitebox, Hayao, Hosoda, Shinkai, Paprika, Celeba Distill, Face Paint 1, and Face Paint 2. Each style comes with an example image showcasing the unique effect it produces. These various cartoon styles will be thoroughly compared and discussed below, highlighting their individual characteristics and features.   1. How to...

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...

          Being a culinary enthusiast, I aimed to create a portrait of a chef in a sophisticated kitchen through photography. I used aiTransformer Super Stylizer , which is based on Stable Diffusion, a powerful deep learning, text-to-image model. While Stable Diffusion is generally effective, it occasionally produces distorted or surreal images of human faces or limbs. The distortion happens because Stable diffusion is a generative model that produces realistic images by gradually adding noise to a starting image over a series of steps. This process can produce images with realistic textures and details, but it can also introduce distortions to the image.       For a new project,  I usually begin with a straightforward representation of the image I envision. This simplistic approach aids in establishing a solid foundation to build upon. If the outcome doesn't meet my expectations, I then introduce more detailed descr...

          In the Super Stylizer tool, we can stylize an image with images generated from a text prompt (using Stable Diffusion img2img). The resulting images might have the style  transferred   relatively well, but you have to use a proper style with appropriate style strength, and it's not easy to find a good match. For example, suppose you want to style a portrait of a person with  Renaissance art, using a weaker style strength (say 20%) you'll get results resembling the portrait but not much  Renaissance  style,  using  a stronger style strength (say 80%) you'll get results in somewhat  Renaissance  style  but very much deviating from the original portrait. In fact, in this case no matter what  style strength to use  you may never get a  realistic looking result, i.e. a portrait looks like a  Renaissance  painting.  the original portrait and results of...