fixes to fuse_lora, aryan was right.

Author: sayakpaul

src/diffusers/loaders/lora_pipeline.py

@@ -4243,10 +4243,9 @@ def save_lora_weights(
             safe_serialization=safe_serialization,
         )
 
-    # Copied from diffusers.loaders.lora_pipeline.Mochi1LoraLoaderMixin.fuse_lora
     def fuse_lora(
         self,
-        components: List[str] = ["transformer", "text_encoder"],
+        components: List[str] = ["transformer"],
         lora_scale: float = 1.0,
         safe_fusing: bool = False,
         adapter_names: Optional[List[str]] = None,
@@ -4287,8 +4286,7 @@ def fuse_lora(
             components=components, lora_scale=lora_scale, safe_fusing=safe_fusing, adapter_names=adapter_names
         )
 
-    # Copied from diffusers.loaders.lora_pipeline.Mochi1LoraLoaderMixin.unfuse_lora
-    def unfuse_lora(self, components: List[str] = ["transformer", "text_encoder"], **kwargs):
+    def unfuse_lora(self, components: List[str] = ["transformer"], **kwargs):
         r"""
         Reverses the effect of
         [`pipe.fuse_lora()`](https://huggingface.co/docs/diffusers/main/en/api/loaders#diffusers.loaders.LoraBaseMixin.fuse_lora).

tests/lora/test_lora_layers_hunyuanvideo.py

@@ -248,6 +248,7 @@ def test_original_format_cseti(self):
         out = out.flatten()
         out_slice = np.concatenate((out[:8], out[-8:]))
         from diffusers.utils.testing_utils import print_tensor_test
+
         print_tensor_test(out_slice)
         # fmt: off
         expected_slice = np.array([0.1013, 0.1924, 0.0078, 0.1021, 0.1929, 0.0078, 0.1023, 0.1919, 0.7402, 0.104, 0.4482, 0.7354, 0.0925, 0.4382, 0.7275, 0.0815])