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v1.1.5 - better validations for SD3.5M and Lycoris users

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@bghira bghira released this 16 Nov 23:45
· 4 commits to release since this release
04a5a74

Features

  • Flow-matching models like SD3 and Flux can use uniform schedule sampling again, mirroring the v0.9.x release cycle from early August
  • More model card details for Hugging Face Hub
  • SD3.5 Medium: skip-layer guidance for validation outputs to more closely match usual workflow results
  • SD3.x: Allow configuring T5 and CLIP padding values (default to empty string)
  • Added --vae_enable_tiling for reducing VAE overhead on 2048px training for SD3.5 Medium on smaller GPUs
  • CLIP score tracking for validations by adding --evaluation_type=clip to your config
  • LyCORIS training can now have a specific strength set during validations using --validation_lycoris_strength to mirror the typical workflows found in ComfyUI etc. A recommended value is 1.0 (default) or 1.3. Using a value lower than 1.0 can help to avoid seeing a model "blow up" when you intend on using it at a lower weight later, anyway.

Bugfixes

  • Torch compile for validation fixed, now works (it did nothing before)
  • Torch compile disabled for LyCORIS models
  • Better SD3 quantisation performance via quanto by excluding layers from the quantisation
  • Flux: default shift value to 3 instead of 1
  • SD1.5 LoRA save fixed
  • Quanto typo for FP8 fixed
  • Multi-caption parquet backend crashing fixed
  • Concurrent text embed writes on multi-GPU system file locking issue fixed

Pull requests

New Contributors

Full Changelog: v1.1.4...v1.1.5