v1.1.2 - masked loss and strong prior preservation

New stuff

• New is_regularisation_data option for datasets, works great
• H100 or greater now has better torch compile support
• SDXL ControlNet training is back, now with quantised base model (int8)
• Multi-node training works now, with a guide to deploy it easily
• Configure.py now can generate a very rudimentary user prompt library for you if you are in a hurry
• Flux model cards now have more useful information about your Flux training setup
• Masked loss training & a demo script in the toolkit dir for generating a folder of image masks

What's Changed

• quanto: improve support for SDXL training by @bghira in #1027
• Fix attention masking transformer for flux by @AmericanPresidentJimmyCarter in #1032
• merge by @bghira in #1036
• H100/H200/B200 FlashAttention3 for Flux + TorchAO improvements by @bghira in #1033
• utf8 fix for emojis in dataset configs by @bghira in #1037
• fix venv instructions and edge case for aspect crop bucket list by @bghira in #1038
• merge by @bghira in #1039
• multi-node training fixes for state tracker by @bghira in #1040
• merge bugfixes by @bghira in #1041
• configure.py can configure caption strategy by @bghira in #1042
• regression by @bghira in #1043
• fix multinode state resumption by @bghira in #1044
• merge by @bghira in #1045
• validations can crash when sending updates to wandb by @bghira in #1046
• aws: do not give up on fatal errors during exists() by @bghira in #1047
• merge by @bghira in #1048
• add prompt expander based on 1B Llama model by @bghira in #1049
• implement regularisation dataset parent-student loss for LyCORIS training by @bghira in #1050
• metadata: add more flux model card details by @bghira in #1051
• merge by @bghira in #1052
• fix controlnet training for sdxl and introduce masked loss preconditioning by @bghira in #1053
• merge by @bghira in #1054

Full Changelog: v1.1.1...v1.1.2