What's Changed

tl;dr Some square-cropped dataset shenanagins are solved, more images should be captured for large datasets / less will be excluded as too_small.

• Added CUDA GC every x steps by @TwoAbove in https://github.com/bghira/SimpleTuner/pull/489
• automated memory cleanup fix by @bghira in https://github.com/bghira/SimpleTuner/pull/496
• parquet backend: mild bugfixes for cropping by @bghira in https://github.com/bghira/SimpleTuner/pull/506
• toolkit: florence captioning script
• bugfix: reference to args.crop which was removed several major versions ago
• sdxl trainer: add tracking of grad_norm to wandb / tensorboard, to align with sd2.x/deepfloyd trainer
• bugfix: account for dataset repeats when counting batches in the dataset by @bghira in https://github.com/bghira/SimpleTuner/pull/512
• inference: fix default script accelerator device check for MPS (@TwoAbove) in https://github.com/bghira/SimpleTuner/pull/511
• repeats: document that kohya's implementation is incorrect in the dataloader guide and kohya config converter by @bghira in https://github.com/bghira/SimpleTuner/pull/513
• bugfix: capture more samples when their intermediary size is smaller than target. by @bghira in https://github.com/bghira/SimpleTuner/pull/515

Full Changelog: https://github.com/bghira/SimpleTuner/compare/v0.9.7.3...v0.9.7.4