Fix: Prevent (potential) error in parameter dtype check

Adds a check to ensure the `_keep_in_fp32_modules` attribute exists on a parameter before it is accessed.

This prevents a potential `AttributeError`, making the utility function more robust when used with models that do not define this attribute.

Author: tolgacangoz

src/diffusers/models/modeling_utils.py

@@ -168,7 +168,11 @@ def get_parameter_dtype(parameter: torch.nn.Module) -> torch.dtype:
 
     for name, param in parameter.named_parameters():
         last_dtype = param.dtype
-        if parameter._keep_in_fp32_modules and any(m in name for m in parameter._keep_in_fp32_modules):
+        if (
+            hasattr(parameter, "_keep_in_fp32_modules")
+            and parameter._keep_in_fp32_modules
+            and any(m in name for m in parameter._keep_in_fp32_modules)
+        ):
             continue
 
         if param.is_floating_point():