v1.2.5

Features

• New dataset_type=eval allows setting up your own eval splits for stable validation loss calculations
• Prodigy allows use of LR schedulers now
• Minimum and maximum aspect ratio options added to dataloader

Bugfixes

• Fix for S3 data backend + compressed datasets
• VAE cache delete on epoch end will no longer crash training from delete failures (MultiGPU)
• Regularisation datasets will no longer break Lycoris training on resume

Pull requests

• s3 backend fix for reading compressed cache by @bghira in #1297
• vae cache refresh during training should not treat delete failures as errors by @bghira in #1298
• update lycoris defaults, fix regularised training resume by @bghira in #1300
• prodigy may work best with cosine scheduler over long training runs by @bghira in #1302
• (#1113) add minimum and maximum aspect ratio bucket parameter and associated tests by @bghira in #1303
• add stable loss calculation and tracking by @bghira in #1304

Full Changelog: v1.2.4...v1.2.5