Apply style fixes

src/diffusers/models/modeling_utils.py

@@ -1407,22 +1407,18 @@ class ModelMixin(torch.nn.Module, PushToHubMixin):
 
     def compile_repeated_blocks(self, *args, **kwargs):
         """
-        Compiles *only* the frequently repeated sub-modules of a model (e.g. the
-        Transformer layers) instead of compiling the entire model.  This
-        technique—often called **regional compilation** (see the PyTorch recipe
-        https://docs.pytorch.org/tutorials/recipes/regional_compilation.html)
-        can reduce end-to-end compile time substantially, while preserving the
-        runtime speed-ups you would expect from a full `torch.compile`.
+        Compiles *only* the frequently repeated sub-modules of a model (e.g. the Transformer layers) instead of
+        compiling the entire model. This technique—often called **regional compilation** (see the PyTorch recipe
+        https://docs.pytorch.org/tutorials/recipes/regional_compilation.html) can reduce end-to-end compile time
+        substantially, while preserving the runtime speed-ups you would expect from a full `torch.compile`.
 
-        The set of sub-modules to compile is discovered by the presence of
-        **`_repeated_blocks`** attribute in the model definition. Define this
-        attribute on your model subclass as a list/tuple of class names
-        (strings). Every module whose class name matches will be compiled.
+        The set of sub-modules to compile is discovered by the presence of **`_repeated_blocks`** attribute in the
+        model definition. Define this attribute on your model subclass as a list/tuple of class names (strings). Every
+        module whose class name matches will be compiled.
 
-        Once discovered, each matching sub-module is compiled by calling
-        `submodule.compile(*args, **kwargs)`.  Any positional or keyword
-        arguments you supply to `compile_repeated_blocks` are forwarded
-        verbatim to `torch.compile`.
+        Once discovered, each matching sub-module is compiled by calling `submodule.compile(*args, **kwargs)`. Any
+        positional or keyword arguments you supply to `compile_repeated_blocks` are forwarded verbatim to
+        `torch.compile`.
         """
         repeated_blocks = getattr(self, "_repeated_blocks", None)