LoRA training of non-attention UNet layers #11
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Add ability to inject LoRA layers into the non-attention blocks of the UNet (specifically the
ResnetBlock2D,Downsample2D, andUpsample2D). This matches the kohya_ss behaviour whenconv_dimis set.Manual Testing:
I trained with this feature for a few epochs and confirmed that the resultant model was sane and can be loaded in InvokeAI. I intend to do more extensive experimentation in the future to better understand the impact of this feature.