Say goodbye to blurry photos! The InvSR image super-resolution tool easily improves image clarity with its innovative partial noise prediction strategy and flexible and efficient sampling mechanism. It leverages prior knowledge of a large pre-trained diffusion model to generate high-resolution images by initializing the sampling process on the diffusion trajectory through accurate noise prediction. It only requires simple command line instructions to operate, supports custom models and noise predictors, and provides online demonstrations and a complete training process, allowing users to flexibly select the number of sampling steps to achieve the best balance between efficiency and effect. Whether it is repairing old photos or optimizing AI-generated images, InvSR can handle it easily and is a major breakthrough in the field of image processing.
The core of InvSR lies in its efficient sampling mechanism and convenient operability, which can achieve stunning results even with only one step of processing. In addition, it also supports multi-GPU parallel computing and interrupt recovery functions, making it easier for researchers to conduct more in-depth research. The project address has been provided, welcome to experience and participate in the development!