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Merge branch 'sd3' into val-loss-improvement
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@@ -643,16 +643,15 @@ def convert_ldm_clip_checkpoint_v2(checkpoint, max_length):
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new_sd[key_pfx + "k_proj" + key_suffix] = values[1]
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new_sd[key_pfx + "v_proj" + key_suffix] = values[2]
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# rename or add position_ids
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# remove position_ids for newer transformer, which causes error :(
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ANOTHER_POSITION_IDS_KEY = "text_model.encoder.text_model.embeddings.position_ids"
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if ANOTHER_POSITION_IDS_KEY in new_sd:
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# waifu diffusion v1.4
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position_ids = new_sd[ANOTHER_POSITION_IDS_KEY]
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del new_sd[ANOTHER_POSITION_IDS_KEY]
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else:
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position_ids = torch.Tensor([list(range(max_length))]).to(torch.int64)
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new_sd["text_model.embeddings.position_ids"] = position_ids
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if "text_model.embeddings.position_ids" in new_sd:
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del new_sd["text_model.embeddings.position_ids"]
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return new_sd
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@@ -344,8 +344,6 @@ def add_sdxl_training_arguments(parser: argparse.ArgumentParser, support_text_en
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def verify_sdxl_training_args(args: argparse.Namespace, supportTextEncoderCaching: bool = True):
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assert not args.v2, "v2 cannot be enabled in SDXL training / SDXL学習ではv2を有効にすることはできません"
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if args.v_parameterization:
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logger.warning("v_parameterization will be unexpected / SDXL学習ではv_parameterizationは想定外の動作になります")
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if args.clip_skip is not None:
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logger.warning("clip_skip will be unexpected / SDXL学習ではclip_skipは動作しません")
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