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For each of the SinGAN applications, we created an easy-to-use python script that can be run directly from the console by specifying the necessary parameters. All of these scripts have in common that they require either just the run_name of a pretrained SinGAN model or the --not_pretrained flag together with the training image path, the number of scales N and the number of steps per scale. For instance, the following additional command line arguments would train a SinGAN model on the green fern plant image with 8 scales and 2000 steps per scale:
Note: You have to additionally provide a training image via --img if you want to train a new model. The paint images are expected to be found in the data/paint subdirectory.