[Tests] Tighten up LoRA loading relaxation (huggingface#4787)

* debugging

* better logic for filtering.

* Update src/diffusers/loaders.py

Co-authored-by: Patrick von Platen <[email protected]>

---------

Co-authored-by: Patrick von Platen <[email protected]>

Author: sayakpaul

src/diffusers/loaders.py

@@ -1102,11 +1102,17 @@ def _best_guess_weight_name(cls, pretrained_model_name_or_path_or_dict, file_ext
         else:
             files_in_repo = model_info(pretrained_model_name_or_path_or_dict).siblings
             targeted_files = [f.rfilename for f in files_in_repo if f.rfilename.endswith(file_extension)]
-
         if len(targeted_files) == 0:
             return
 
-        targeted_files = list(filter(lambda x: "scheduler" not in x and "optimizer" not in x, targeted_files))
+        # "scheduler" does not correspond to a LoRA checkpoint.
+        # "optimizer" does not correspond to a LoRA checkpoint
+        # only top-level checkpoints are considered and not the other ones, hence "checkpoint".
+        unallowed_substrings = {"scheduler", "optimizer", "checkpoint"}
+        targeted_files = list(
+            filter(lambda x: all(substring not in x for substring in unallowed_substrings), targeted_files)
+        )
+
         if len(targeted_files) > 1:
             raise ValueError(
                 f"Provided path contains more than one weights file in the {file_extension} format. Either specify `weight_name` in `load_lora_weights` or make sure there's only one  `.safetensors` or `.bin` file in  {pretrained_model_name_or_path_or_dict}."