StableSR
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Training with paired dataset
Hello, thanks for great work. I want to train SFT layers with own paired dataset (GT and LQ pairs) where resolutions are 256x256. I tried using dataloader scripts that you provided but it does not work. First error was about get_input function of LatentDiffusionSRTextWT class. I removed degradation pipeline in get_input function so that it take GT and LQ images as they are. But now i get an error in spade.py script. Logs are in the figure below. Can you provide me a guidance for training on paired dataset? Thanks in advance.
Did you fix the problem?
wondering the same @IceClear
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