fix copied from comments

Author: a-r-r-o-w

src/diffusers/loaders/lora_pipeline.py

@@ -3264,7 +3264,7 @@ class LTXVideoLoraLoaderMixin(LoraBaseMixin):
 
     @classmethod
     @validate_hf_hub_args
-    # Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.lora_state_dict
+    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.lora_state_dict
     def lora_state_dict(
         cls,
         pretrained_model_name_or_path_or_dict: Union[str, Dict[str, torch.Tensor]],
@@ -3360,6 +3360,7 @@ def lora_state_dict(
 
         return state_dict
 
+    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.load_lora_weights
     def load_lora_weights(
         self, pretrained_model_name_or_path_or_dict: Union[str, Dict[str, torch.Tensor]], adapter_name=None, **kwargs
     ):
@@ -3411,7 +3412,7 @@ def load_lora_weights(
         )
 
     @classmethod
-    # Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->CogVideoXTransformer3DModel
+    # Copied from diffusers.loaders.lora_pipeline.SD3LoraLoaderMixin.load_lora_into_transformer with SD3Transformer2DModel->LTXVideoTransformer3DModel
     def load_lora_into_transformer(
         cls, state_dict, transformer, adapter_name=None, _pipeline=None, low_cpu_mem_usage=False
     ):
@@ -3423,7 +3424,7 @@ 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 (`LTXVideoTransformer3DModel`):
                 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
@@ -3448,7 +3449,7 @@ def load_lora_into_transformer(
         )
 
     @classmethod
-    # Adapted from diffusers.loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights without support for text encoder
+    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.save_lora_weights
     def save_lora_weights(
         cls,
         save_directory: Union[str, os.PathLike],