This release has some breaking changes for users who:

• Use RESOLUTION_TYPE=area (resolution_type=area for multidatabackend config)
• Use crop=false
• Use crop=true and crop_aspect=preserve

as the precision level for aspect buckets has changed.

Updating to this release is recommended, but if you're in the middle of a training run, don't update yet.

What's Changed

• prompt handler: check for index error before requesting caption from parquet backend
• vaecache: more robust handling of batched encoding
• vaecache: fix for trailing slash existing in cache_dir property resulting in excessive scans at startup
• bucket manager: cheaply remove duplicate images from the dataset during sorting
• aspect bucketing: modify precision of bucket categories to 3 decimals from 2, this might require re-caching aspect buckets and VAE outputs for users whose configuration matches the earlier description
• sd2.x: LoRA training fixes, still not quite right, but better
• DoRA: initial support from PEFT integrated for XL and legacy models.

by @bghira in https://github.com/bghira/SimpleTuner/pull/320

Full Changelog: https://github.com/bghira/SimpleTuner/compare/v0.9.0...v0.9.1