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add alpha to lora converter

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Artiprocher
2024-10-14 18:57:54 +08:00
parent 58f89ceec9
commit 540c036988
1 changed files with 3 additions and 1 deletions
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diffsynth/trainers/text_to_image.py
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@@ -18,6 +18,7 @@ class LightningModelForT2ILoRA(pl.LightningModule):
self.learning_rate = learning_rate
self.use_gradient_checkpointing = use_gradient_checkpointing
self.state_dict_converter = state_dict_converter
self.lora_alpha = None
def load_models(self):
@@ -34,6 +35,7 @@ class LightningModelForT2ILoRA(pl.LightningModule):
def add_lora_to_model(self, model, lora_rank=4, lora_alpha=4, lora_target_modules="to_q,to_k,to_v,to_out", init_lora_weights="gaussian"):
# Add LoRA to UNet
self.lora_alpha = lora_alpha
if init_lora_weights == "kaiming":
init_lora_weights = True
@@ -94,7 +96,7 @@ class LightningModelForT2ILoRA(pl.LightningModule):
if name in trainable_param_names:
lora_state_dict[name] = param
if self.state_dict_converter is not None:
lora_state_dict = self.state_dict_converter(lora_state_dict)
lora_state_dict = self.state_dict_converter(lora_state_dict, alpha=self.lora_alpha)
checkpoint.update(lora_state_dict)