v0.9.1 - DoRA the explorah
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
andcrop_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.
Full Changelog: v0.9.0...v0.9.1