diff --git a/toolkit/data_loader.py b/toolkit/data_loader.py
index 28099807..8e5186dd 100644
--- a/toolkit/data_loader.py
+++ b/toolkit/data_loader.py
@@ -21,6 +21,11 @@ from toolkit.config_modules import DatasetConfig, preprocess_dataset_raw_config
 from toolkit.dataloader_mixins import CaptionMixin, BucketsMixin, LatentCachingMixin, Augments, CLIPCachingMixin
 from toolkit.data_transfer_object.data_loader import FileItemDTO, DataLoaderBatchDTO
 
+import platform
+
+def is_native_windows():
+    return platform.system() == "Windows" and platform.release() != "2"
+
 if TYPE_CHECKING:
     from toolkit.stable_diffusion_model import StableDiffusion
 
@@ -583,6 +588,13 @@ def get_dataloader_from_datasets(
 
     # check if is caching latents
 
+    dataloader_kwargs = {}
+    
+    if is_native_windows():
+        dataloader_kwargs['num_workers'] = 0
+    else:
+        dataloader_kwargs['num_workers'] = dataset_config_list[0].num_workers
+        dataloader_kwargs['prefetch_factor'] = dataset_config_list[0].prefetch_factor
 
     if has_buckets:
         # make sure they all have buckets
@@ -595,16 +607,15 @@ def get_dataloader_from_datasets(
             drop_last=False,
             shuffle=True,
             collate_fn=dto_collation,  # Use the custom collate function
-            num_workers=dataset_config_list[0].num_workers,
-            prefetch_factor=dataset_config_list[0].prefetch_factor,
+            **dataloader_kwargs
         )
     else:
         data_loader = DataLoader(
             concatenated_dataset,
             batch_size=batch_size,
             shuffle=True,
-            num_workers=4,
-            collate_fn=dto_collation
+            collate_fn=dto_collation,
+            **dataloader_kwargs
         )
     return data_loader