v22.3.0 #1745
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v22.3.0 #1745
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This fixes min-snr for vpred+zsnr by dividing directly by SNR+1. The old implementation did it in two steps: (min-snr/snr) * (snr/(snr+1)), which causes division by zero when combined with --zero_terminal_snr
* add required attributes to model_org, model_tuned, save_to * set "*_alpha" using str(float(foo))
Add custom seperator for shuffle caption
use **kwargs and change svd() calling convention to make svd() reusable
Fix min-snr-gamma for v-prediction and ZSNR.
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finetune\tag_images_by_wd14_tagger.pynow supports the separator other than,with--caption_separatoroption. Thanks to KohakuBlueleaf! PR #913--min_diffand--clamp_quantileoptions are added tonetworks/extract_lora_from_models.py. Thanks to wkpark! PR #936sdxl_gen_img.pyandgen_img_diffusers.py.--ds_timesteps_1and--ds_timesteps_2options denote the timesteps of the Deep Shrink for the first and second stages.--ds_depth_1and--ds_depth_2options denote the depth (block index) of the Deep Shrink for the first and second stages.--ds_ratiooption denotes the ratio of the Deep Shrink.0.5means the half of the original latent size for the Deep Shrink.--dst1,--dst2,--dsd1,--dsd2and--dsrprompt options are also available.