updates

Author: sayakpaul

src/diffusers/loaders/lora_pipeline.py

@@ -3963,7 +3963,7 @@ def load_lora_weights(
         )
 
     @classmethod
-    # Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->HunyuanVideoTransformer3DModel
+    # Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->Lumina2Transformer2DModel
     def load_lora_into_transformer(
         cls, state_dict, transformer, adapter_name=None, _pipeline=None, low_cpu_mem_usage=False
     ):
@@ -3975,7 +3975,7 @@ def load_lora_into_transformer(
                 A standard state dict containing the lora layer parameters. The keys can either be indexed directly
                 into the unet or prefixed with an additional `unet` which can be used to distinguish between text
                 encoder lora layers.
-            transformer (`HunyuanVideoTransformer3DModel`):
+            transformer (`Lumina2Transformer2DModel`):
                 The Transformer model to load the LoRA layers into.
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use