Handle deprecated transformer classes (#12517)

* update

* update

* update

src/diffusers/pipelines/pipeline_loading_utils.py

@@ -33,6 +33,7 @@ from ..utils import (
     ONNX_WEIGHTS_NAME,
     SAFETENSORS_WEIGHTS_NAME,
     WEIGHTS_NAME,
+    _maybe_remap_transformers_class,
     deprecate,
     get_class_from_dynamic_module,
     is_accelerate_available,
@@ -356,6 +357,11 @@ def maybe_raise_or_warn(
     """Simple helper method to raise or warn in case incorrect module has been passed"""
     if not is_pipeline_module:
         library = importlib.import_module(library_name)
+
+        # Handle deprecated Transformers classes
+        if library_name == "transformers":
+            class_name = _maybe_remap_transformers_class(class_name) or class_name
+
         class_obj = getattr(library, class_name)
         class_candidates = {c: getattr(library, c, None) for c in importable_classes.keys()}
 
@@ -390,6 +396,11 @@ def simple_get_class_obj(library_name, class_name):
         class_obj = getattr(pipeline_module, class_name)
     else:
         library = importlib.import_module(library_name)
+
+        # Handle deprecated Transformers classes
+        if library_name == "transformers":
+            class_name = _maybe_remap_transformers_class(class_name) or class_name
+
         class_obj = getattr(library, class_name)
 
     return class_obj
@@ -416,6 +427,10 @@ def get_class_obj_and_candidates(
         # else we just import it from the library.
         library = importlib.import_module(library_name)
 
+        # Handle deprecated Transformers classes
+        if library_name == "transformers":
+            class_name = _maybe_remap_transformers_class(class_name) or class_name
+
         class_obj = getattr(library, class_name)
         class_candidates = {c: getattr(library, c, None) for c in importable_classes.keys()}
 

src/diffusers/utils/__init__.py

@@ -38,7 +38,7 @@ from .constants import (
     WEIGHTS_INDEX_NAME,
     WEIGHTS_NAME,
 )
-from .deprecation_utils import deprecate
+from .deprecation_utils import _maybe_remap_transformers_class, deprecate
 from .doc_utils import replace_example_docstring
 from .dynamic_modules_utils import get_class_from_dynamic_module
 from .export_utils import export_to_gif, export_to_obj, export_to_ply, export_to_video

src/diffusers/utils/deprecation_utils.py

@@ -4,6 +4,54 @@ from typing import Any, Dict, Optional, Union
 
 from packaging import version
 
+from ..utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+# Mapping for deprecated Transformers classes to their replacements
+# This is used to handle models that reference deprecated class names in their configs
+# Reference: https://github.com/huggingface/transformers/issues/40822
+# Format: {
+#     "DeprecatedClassName": {
+#         "new_class": "NewClassName",
+#         "transformers_version": (">=", "5.0.0"),  # (operation, version) tuple
+#     }
+# }
+_TRANSFORMERS_CLASS_REMAPPING = {
+    "CLIPFeatureExtractor": {
+        "new_class": "CLIPImageProcessor",
+        "transformers_version": (">", "4.57.0"),
+    },
+}
+
+
+def _maybe_remap_transformers_class(class_name: str) -> Optional[str]:
+    """
+    Check if a Transformers class should be remapped to a newer version.
+
+    Args:
+        class_name: The name of the class to check
+
+    Returns:
+        The new class name if remapping should occur, None otherwise
+    """
+    if class_name not in _TRANSFORMERS_CLASS_REMAPPING:
+        return None
+
+    from .import_utils import is_transformers_version
+
+    mapping = _TRANSFORMERS_CLASS_REMAPPING[class_name]
+    operation, required_version = mapping["transformers_version"]
+
+    # Only remap if the transformers version meets the requirement
+    if is_transformers_version(operation, required_version):
+        new_class = mapping["new_class"]
+        logger.warning(f"{class_name} appears to have been deprecated in transformers. Using {new_class} instead.")
+        return mapping["new_class"]
+
+    return None
+
 
 def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True, stacklevel=2):
     from .. import __version__