0.0.26

• allow to merge in delta space by passing strict_weight_space=False in RecipeMerger.merge_and_save()
• handle unexpected float types when expecting an integer in some merge methods
• replace the parameter no_rescale of the method ties_sum_with_dropout with rescale and use a differentiable implementation
• use torch.Generator instead of torch.manual_seed
• revert the use of torch.svd_lowrank in rotate when alignment is fractional, otherwise it results in nans during inference

0.0.25

• fix a bug where the model configurations would silently fail to parse
• fix none seed not supported as a default hyper value

0.0.24

• remove CWM (sd_mecha.hypers.classes)

0.0.23

• speedup rotate method by ~2x using torch.svd_lowrank

0.0.21

• add new builtin methods: n_average, geometric_median, ties_sum_extended / add_difference_ties_extended, ties_sum_with_dropout / ties_with_dare, model_stock_for_tensor / model_stock_n_models
• add a new parameter vote_sgn to ties_sum / add_differenc_ties

credits to @6DammK9 for this contribution!

0.0.20

• revert sd_mecha.train_difference to the original implementation from supermerger
• add 3 new methods add_opposite, clamped_add_opposite and select_max_delta

Note that clamped_add_opposite corresponds to the implementation of train difference in 0.0.19 and earlier versions.

0.0.17

• rename method clip to clamp to disambiguate it from "CLIP" the text encoder
• I originally mislabelled the tag as 0.17 and I am too lazy to fix the commit target after creating the new 0.0.17 tag (the github ui doesn't allow me to enter a commit hash) so here is the appropriate commit hash of the release: f8b0800

0.0.19

• raise error for non-lora keys when loading a lora model type in #33
• fix a bug where keys of input models where directly used as fallback when applying a lora to a composite recipe in #34

0.0.18

• change default value of parameter alpha in add difference from 0.5 to 1.0

0.0.16

• add module t5xxl to sd3 architecture