diff --git a/src/diffusers/pipelines/pipeline_loading_utils.py b/src/diffusers/pipelines/pipeline_loading_utils.py
index 8868e942ce3d..5cd232e82f36 100644
--- a/src/diffusers/pipelines/pipeline_loading_utils.py
+++ b/src/diffusers/pipelines/pipeline_loading_utils.py
@@ -758,6 +758,7 @@ def load_sub_model(
     use_safetensors: bool,
     dduf_entries: Optional[Dict[str, DDUFEntry]],
     provider_options: Any,
+    disable_mmap: bool,
     quantization_config: Optional[Any] = None,
 ):
     """Helper method to load the module `name` from `library_name` and `class_name`"""
@@ -854,6 +855,9 @@ def load_sub_model(
         else:
             loading_kwargs["low_cpu_mem_usage"] = False
 
+    if is_diffusers_model:
+        loading_kwargs["disable_mmap"] = disable_mmap
+
     if is_transformers_model and is_transformers_version(">=", "4.57.0"):
         loading_kwargs.pop("offload_state_dict")
 
diff --git a/src/diffusers/pipelines/pipeline_utils.py b/src/diffusers/pipelines/pipeline_utils.py
index 392d5fb3feb4..510e74ce88d7 100644
--- a/src/diffusers/pipelines/pipeline_utils.py
+++ b/src/diffusers/pipelines/pipeline_utils.py
@@ -707,6 +707,9 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
                 loading `from_flax`.
             dduf_file(`str`, *optional*):
                 Load weights from the specified dduf file.
+            disable_mmap ('bool', *optional*, defaults to 'False'):
+                Whether to disable mmap when loading a Safetensors model. This option can perform better when the model
+                is on a network mount or hard drive, which may not handle the seeky-ness of mmap very well.
 
         > [!TIP] > To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in
         with `hf > auth login`.
@@ -758,6 +761,7 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
         use_onnx = kwargs.pop("use_onnx", None)
         load_connected_pipeline = kwargs.pop("load_connected_pipeline", False)
         quantization_config = kwargs.pop("quantization_config", None)
+        disable_mmap = kwargs.pop("disable_mmap", False)
 
         if torch_dtype is not None and not isinstance(torch_dtype, dict) and not isinstance(torch_dtype, torch.dtype):
             torch_dtype = torch.float32
@@ -1041,6 +1045,7 @@ def load_module(name, value):
                     use_safetensors=use_safetensors,
                     dduf_entries=dduf_entries,
                     provider_options=provider_options,
+                    disable_mmap=disable_mmap,
                     quantization_config=quantization_config,
                 )
                 logger.info(