fix copied from

Author: a-r-r-o-w

src/diffusers/loaders/lora_pipeline.py

@@ -4280,7 +4280,7 @@ 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 (`CogVideoXTransformer3DModel`):
+            transformer (`WanTransformer3DModel`):
                 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
@@ -4352,7 +4352,7 @@ def save_lora_weights(
             safe_serialization=safe_serialization,
         )
 
-    # Copied from diffusers.loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.fuse_lora with unet->transformer
+    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.fuse_lora
     def fuse_lora(
         self,
         components: List[str] = ["transformer"],
@@ -4396,7 +4396,7 @@ def fuse_lora(
             components=components, lora_scale=lora_scale, safe_fusing=safe_fusing, adapter_names=adapter_names
         )
 
-    # Copied from diffusers.loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.unfuse_lora with unet->transformer
+    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.unfuse_lora
     def unfuse_lora(self, components: List[str] = ["transformer"], **kwargs):
         r"""
         Reverses the effect of