diff --git a/modelkit/core/model.py b/modelkit/core/model.py
index d72aafbd..94150af5 100644
--- a/modelkit/core/model.py
+++ b/modelkit/core/model.py
@@ -28,7 +28,7 @@
 from rich.markup import escape
 from rich.tree import Tree
 from structlog import get_logger
-from typing_extensions import Protocol
+from typing_extensions import Annotated, Protocol
 
 from modelkit.core import errors
 from modelkit.core.settings import LibrarySettings
@@ -229,7 +229,16 @@ def initialize_validation_models(self):
             ]
             if len(generic_aliases):
                 _item_type, _return_type = generic_aliases[0].__args__
-                if _item_type != ItemType:
+                if (
+                    _item_type != ItemType
+                    and not (
+                        typing.get_origin(_item_type) is Annotated
+                        and isinstance(
+                            typing.get_args(_item_type)[1], pydantic.SkipValidation
+                        )
+                    )
+                    and not self.service_settings.disable_validation
+                ):
                     self._item_type = _item_type
                     type_name = self.__class__.__name__ + "ItemTypeModel"
                     self._item_model = pydantic.create_model(
@@ -240,7 +249,16 @@ def initialize_validation_models(self):
                         data=(self._item_type, ...),
                         __base__=InternalDataModel,
                     )
-                if _return_type != ReturnType:
+                if (
+                    _return_type != ReturnType
+                    and not (
+                        typing.get_origin(_item_type) is Annotated
+                        and isinstance(
+                            typing.get_args(_item_type)[1], pydantic.SkipValidation
+                        )
+                    )
+                    and not self.service_settings.disable_validation
+                ):
                     self._return_type = _return_type
                     type_name = self.__class__.__name__ + "ReturnTypeModel"
                     self._return_model = pydantic.create_model(
diff --git a/modelkit/core/settings.py b/modelkit/core/settings.py
index 2e8d53be..ae90bc97 100644
--- a/modelkit/core/settings.py
+++ b/modelkit/core/settings.py
@@ -119,6 +119,12 @@ class LibrarySettings(ModelkitSettings):
         False,
         validation_alias=pydantic.AliasChoices("lazy_loading", "MODELKIT_LAZY_LOADING"),
     )
+    disable_validation: bool = pydantic.Field(
+        False,
+        validation_alias=pydantic.AliasChoices(
+            "disable_validation", "MODELKIT_DISABLE_VALIDATION"
+        ),
+    )
     override_assets_dir: Optional[str] = pydantic.Field(
         None,
         validation_alias=pydantic.AliasChoices(
diff --git a/tests/test_validate.py b/tests/test_validate.py
index 55e6b19a..859fba90 100644
--- a/tests/test_validate.py
+++ b/tests/test_validate.py
@@ -188,3 +188,48 @@ class ListModel(pydantic.BaseModel):
             raise ModelkitDataValidationException(
                 "test error", pydantic_exc=exc
             ) from exc
+
+
+def test_validate_skipped_annotated():
+    class Example(pydantic.BaseModel):
+        data: str
+
+    class ValidatedModel(Model[Example, Example]):
+        def _predict(self, item):
+            return item
+
+    class NotValidatedModel(
+        Model[pydantic.SkipValidation[Example], pydantic.SkipValidation[Example]]
+    ):
+        def _predict(self, item):
+            return item
+
+    validated_model = ValidatedModel(service_settings=LibrarySettings())
+    not_validated_model = NotValidatedModel(service_settings=LibrarySettings())
+
+    example = Example(data="test")
+
+    assert validated_model(example) == example
+    assert validated_model({"data": "test"}) == example
+    with pytest.raises(ItemValidationException):
+        validated_model({"data": 1})
+
+    assert not_validated_model(example) == example
+    assert not_validated_model({"data": "test"}) == {"data": "test"}
+    assert not_validated_model({"data": 1}) == {"data": 1}
+
+
+def test_validate_skipped_library_settings():
+    class Example(pydantic.BaseModel):
+        data: str
+
+    class MyModel(Model[Example, Example]):
+        def _predict(self, item):
+            return item
+
+    model = MyModel(service_settings=LibrarySettings(disable_validation=True))
+    example = Example(data="test")
+
+    assert model(example) == example
+    assert model({"data": "test"}) == {"data": "test"}
+    assert model({"data": 1}) == {"data": 1}