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Enhance LoraManagerLoader to include formatted loaded_loras in return values, improving data output for loaded LoRAs.

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Will Miao
2025-03-15 10:45:32 +08:00
parent 02adced7b8
commit 756ad399bf
1 changed files with 7 additions and 3 deletions
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10
py/nodes/lora_loader.py
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@@ -26,8 +26,8 @@ class LoraManagerLoader:
"optional": FlexibleOptionalInputType(any_type), "optional": FlexibleOptionalInputType(any_type),
} }
RETURN_TYPES = ("MODEL", "CLIP", IO.STRING) RETURN_TYPES = ("MODEL", "CLIP", IO.STRING, IO.STRING)
RETURN_NAMES = ("MODEL", "CLIP", "trigger_words") RETURN_NAMES = ("MODEL", "CLIP", "trigger_words", "loaded_loras")
FUNCTION = "load_loras" FUNCTION = "load_loras"
async def get_lora_info(self, lora_name): async def get_lora_info(self, lora_name):
@@ -95,5 +95,9 @@ class LoraManagerLoader:
# use ',, ' to separate trigger words for group mode # use ',, ' to separate trigger words for group mode
trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else "" trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
# Format loaded_loras as <lora:lora_name:strength> separated by spaces
formatted_loras = " ".join([f"<lora:{name.split(':')[0].strip()}:{str(strength).strip()}>"
for name, strength in [item.split(':') for item in loaded_loras]])
return (model, clip, trigger_words_text) return (model, clip, trigger_words_text, formatted_loras)