• 2024/02/24 (v22.6.2)

• Fix issue with Lora Extract GUI
  • Fix syntax issue where parameter lora_network_weights is actually called network_weights
• Merge sd-scripts v0.8.4 code update
  • Fixed a bug that the VRAM usage without Text Encoder training is larger than before in training scripts for LoRA etc (train_network.py, sdxl_train_network.py).
    • Text Encoders were not moved to CPU.
  • Fixed typos. Thanks to akx! PR #1053
  • The log output has been improved. PR #905 Thanks to shirayu!
    • The log is formatted by default. The rich library is required. Please see Upgrade and update the library.
    • If rich is not installed, the log output will be the same as before.
    • The following options are available in each training script:
    • --console_log_simple option can be used to switch to the previous log output.
    • --console_log_level option can be used to specify the log level. The default is INFO.
    • --console_log_file option can be used to output the log to a file. The default is None (output to the console).
  • The sample image generation during multi-GPU training is now done with multiple GPUs. PR #1061 Thanks to DKnight54!
  • The support for mps devices is improved. PR #1054 Thanks to akx! If mps device exists instead of CUDA, the mps device is used automatically.
  • The --new_conv_rank option to specify the new rank of Conv2d is added to networks/resize_lora.py. PR #1102 Thanks to mgz-dev!
  • An option --highvram to disable the optimization for environments with little VRAM is added to the training scripts. If you specify it when there is enough VRAM, the operation will be faster.
    • Currently, only the cache part of latents is optimized.
  • The IPEX support is improved. PR #1086 Thanks to Disty0!
  • Fixed a bug that svd_merge_lora.py crashes in some cases. PR #1087 Thanks to mgz-dev!
  • DyLoRA is fixed to work with SDXL. PR #1126 Thanks to tamlog06!
  • The common image generation script gen_img.py for SD 1/2 and SDXL is added. The basic functions are the same as the scripts for SD 1/2 and SDXL, but some new features are added.
    • External scripts to generate prompts can be supported. It can be called with --from_module option. (The documentation will be added later)
    • The normalization method after prompt weighting can be specified with --emb_normalize_mode option. original is the original method, abs is the normalization with the average of the absolute values, none is no normalization.
  • Gradual Latent Hires fix is added to each generation script. See here for details.

What's Changed

• Fix Lora Extract GUI issue by @bmaltais in https://github.com/bmaltais/kohya_ss/pull/1975
• Update options.md by @mikeboensel in https://github.com/bmaltais/kohya_ss/pull/1978
• Update options.md by @mikeboensel in https://github.com/bmaltais/kohya_ss/pull/1979
• Update options.md by @mikeboensel in https://github.com/bmaltais/kohya_ss/pull/1980
• Optimize the Dockerfile to reduce the size of the image. (50.76 GB to 19.04 GB) by @jim60105 in https://github.com/bmaltais/kohya_ss/pull/1976
• Label clarifications by @mikeboensel in https://github.com/bmaltais/kohya_ss/pull/1981
• v22.6.2 by @bmaltais in https://github.com/bmaltais/kohya_ss/pull/1995

New Contributors

• @mikeboensel made their first contribution in https://github.com/bmaltais/kohya_ss/pull/1978

Full Changelog: https://github.com/bmaltais/kohya_ss/compare/v22.6.1...v22.6.2