Improvements from v2.0 to v2.1Improved output quality by upscaling low resolution images and passing them through a cartoon restoration ESRGAN modelImproved prompt adherence by adding new images of more subjectsRemoved a low quality imageFixed issue where portrait images would generate as lanscape ones, rotated. This was caused by incorrect orientation of some of the source images (Rotation was marked in its EXIF data, but that is not respected during training)