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load ltx loras trained with finetrainers
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@ -64,6 +64,7 @@ def load_lora(lora, to_load, log_missing=True):
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diffusers3_lora = "{}.lora.up.weight".format(x)
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diffusers3_lora = "{}.lora.up.weight".format(x)
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mochi_lora = "{}.lora_B".format(x)
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mochi_lora = "{}.lora_B".format(x)
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transformers_lora = "{}.lora_linear_layer.up.weight".format(x)
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transformers_lora = "{}.lora_linear_layer.up.weight".format(x)
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ltx_lora = "transformer.{}.lora_B.weight".format(x)
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A_name = None
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A_name = None
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if regular_lora in lora.keys():
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if regular_lora in lora.keys():
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@ -90,6 +91,10 @@ def load_lora(lora, to_load, log_missing=True):
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A_name = transformers_lora
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A_name = transformers_lora
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B_name ="{}.lora_linear_layer.down.weight".format(x)
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B_name ="{}.lora_linear_layer.down.weight".format(x)
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mid_name = None
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mid_name = None
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elif ltx_lora in lora.keys():
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A_name = ltx_lora
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B_name = "transformer.{}.lora_A.weight".format(x)
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mid_name = None
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if A_name is not None:
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if A_name is not None:
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mid = None
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mid = None
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