fix dduf

src/diffusers/loaders/unet.py

@@ -30,7 +30,7 @@
     IPAdapterPlusImageProjection,
     MultiIPAdapterImageProjection,
 )
-from ..models.modeling_utils import load_state_dict, load_model_dict_into_meta
+from ..models.modeling_utils import load_model_dict_into_meta, load_state_dict
 from ..utils import (
     USE_PEFT_BACKEND,
     _get_model_file,

src/diffusers/models/model_loading_utils.py

@@ -307,25 +307,6 @@ def load_model_dict_into_meta(
     return error_msgs, offload_index, state_dict_index
 
 
-def load_model_dict_into_meta(
-    model,
-    state_dict: OrderedDict,
-    dtype: Optional[Union[str, torch.dtype]] = None,
-    model_name_or_path: Optional[str] = None,
-    hf_quantizer=None,
-    keep_in_fp32_modules=None,
-    device_map=None,
-    unexpected_keys=None,
-    is_safetensors=None,
-    offload_folder=None,
-    offload_index=None,
-    state_dict_index=None,
-    state_dict_folder=None,
-) -> List[str]:
-    error_msgs = []
-    return error_msgs, offload_index, state_dict_index
-
-
 def _load_state_dict_into_model(
     model_to_load, state_dict: OrderedDict, assign_to_params_buffers: bool = False
 ) -> List[str]:

src/diffusers/models/modeling_utils.py

@@ -64,8 +64,8 @@
     _fetch_index_file,
     _fetch_index_file_legacy,
     _load_state_dict_into_model,
-    load_state_dict,
     load_model_dict_into_meta,
+    load_state_dict,
 )
 
 
@@ -1033,6 +1033,7 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
             dtype=torch_dtype,
             hf_quantizer=hf_quantizer,
             keep_in_fp32_modules=keep_in_fp32_modules,
+            dduf_entries=dduf_entries,
         )
         loading_info = {
             "missing_keys": missing_keys,
@@ -1156,6 +1157,7 @@ def _load_pretrained_model(
         device_map=None,
         offload_state_dict=None,
         offload_folder=None,
+        dduf_entries=None,
     ):
         model_state_dict = model.state_dict()
         expected_keys = list(model_state_dict.keys())
@@ -1209,7 +1211,7 @@ def _load_pretrained_model(
         if len(resolved_archive_file) > 1:
             resolved_archive_file = logging.tqdm(resolved_archive_file, desc="Loading checkpoint shards")
         for shard_file in resolved_archive_file:
-            state_dict = load_state_dict(shard_file)
+            state_dict = load_state_dict(shard_file, dduf_entries=dduf_entries)
             model._fix_state_dict_keys_on_load(state_dict)
 
             def _find_mismatched_keys(