Shypd.aiThe largest open index of AI toolsInST is an open-source image generation tool that implements inversion-based style transfer with diffusion models. It allows users to learn artistic style directly from a single painting and guide image synthesis.
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InST is the official open-source implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023). This tool enables users to learn the artistic style from a single painting and apply it to new image synthesis without requiring complex textual descriptions. It addresses the limitations of previous methods that often struggle with controlling shape changes or conveying specific elements. By treating style as a learnable textual description, InST efficiently and accurately captures and transfers the complete artistic style of a painting, demonstrating high quality and efficiency across various artists and styles. It is primarily intended for research and development in the field of AI-driven image generation.
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