Here, I detail an open-source AI advanced image processing workflow using a combination of popular AI models and libraries, including SAM, LaMa, Stable Diffusion, and OpenCV2. The workflow is designed to perform various tasks such as image denoising, deblurring, super-resolution, and style transfer. I provide an overview of each component, highlighting their strengths and weaknesses, and demonstrate how they can be combined to achieve advanced image processing tasks. The article also discusses the benefits of using open-source AI models and libraries, including cost-effectiveness, customization, and community-driven development.

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