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invokeai/app/invocations/flux_lora_loader.py

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@@ -72,7 +72,7 @@ def invoke(self, context: InvocationContext) -> FluxLoRALoaderOutput:
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classification=Classification.Prototype,
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)
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class FLUXLoRACollectionLoader(BaseInvocation):
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"""Applies a collection of FLUX LoRAs to the provided UNet and CLIP models."""
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"""Applies a collection of LoRAs to a FLUX transformer."""
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loras: LoRAField | list[LoRAField] = InputField(
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description="LoRA models and weights. May be a single LoRA or collection.", title="LoRAs"

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