diff --git a/aidial_adapter_bedrock/llm/model/adapter.py b/aidial_adapter_bedrock/llm/model/adapter.py
index 2a52e45..dcc39b7 100644
--- a/aidial_adapter_bedrock/llm/model/adapter.py
+++ b/aidial_adapter_bedrock/llm/model/adapter.py
@@ -98,6 +98,8 @@ async def get_bedrock_adapter(
                 model,
                 api_key,
                 image_to_image_supported=True,
+                image_width_constraints=(640, 1536),
+                image_height_constraints=(640, 1536),
             )
         case ChatCompletionDeployment.AMAZON_TITAN_TG1_LARGE:
             return AmazonAdapter.create(
diff --git a/aidial_adapter_bedrock/llm/model/stability/v2.py b/aidial_adapter_bedrock/llm/model/stability/v2.py
index dd8787c..ca33130 100644
--- a/aidial_adapter_bedrock/llm/model/stability/v2.py
+++ b/aidial_adapter_bedrock/llm/model/stability/v2.py
@@ -1,4 +1,5 @@
-from typing import List, Optional, assert_never
+from io import BytesIO
+from typing import List, Optional, Tuple, assert_never
 
 from aidial_sdk.chat_completion import (
     Message,
@@ -7,6 +8,8 @@
     Role,
 )
 from aidial_sdk.chat_completion.request import ImageURL
+from aidial_sdk.exceptions import RequestValidationError
+from PIL import Image
 from pydantic import BaseModel
 
 from aidial_adapter_bedrock.bedrock import Bedrock
@@ -27,10 +30,51 @@
 from aidial_adapter_bedrock.llm.model.stability.storage import save_to_storage
 from aidial_adapter_bedrock.llm.truncate_prompt import DiscardedMessages
 from aidial_adapter_bedrock.utils.json import remove_nones
+from aidial_adapter_bedrock.utils.resource import Resource
 
 SUPPORTED_IMAGE_TYPES = ["image/jpeg", "image/png", "image/webp"]
 
 
+def _validate_image_size(
+    image: Resource,
+    width_constraints: Tuple[int, int] | None,
+    height_constraints: Tuple[int, int] | None,
+) -> None:
+    if width_constraints is None and height_constraints is None:
+        return
+
+    with Image.open(BytesIO(image.data)) as img:
+        width, height = img.size
+
+        for constraints, value, name in [
+            (width_constraints, width, "width"),
+            (height_constraints, height, "height"),
+        ]:
+            if constraints is None:
+                continue
+            min_value, max_value = constraints
+            if not (min_value <= value <= max_value):
+                error_msg = (
+                    f"Image {name} is {value}, but should be "
+                    f"between {min_value} and {max_value}"
+                )
+                raise RequestValidationError(
+                    message=error_msg,
+                    display_message=error_msg,
+                    code="invalid_argument",
+                )
+
+
+def _validate_last_message(messages: List[Message]):
+    if not messages:
+        raise ValidationError("No messages provided")
+
+    last_message = messages[-1]
+    if last_message.role != Role.USER:
+        raise ValidationError("Last message must be from user")
+    return last_message
+
+
 class StabilityV2Response(BaseModel):
     seeds: List[int]
     images: List[str]
@@ -74,6 +118,8 @@ class StabilityV2Adapter(ChatCompletionAdapter):
     client: Bedrock
     storage: Optional[FileStorage]
     image_to_image_supported: bool
+    width_constraints: Tuple[int, int] | None
+    height_constraints: Tuple[int, int] | None
 
     @classmethod
     def create(
@@ -82,6 +128,8 @@ def create(
         model: str,
         api_key: str,
         image_to_image_supported: bool,
+        image_width_constraints: Tuple[int, int] | None = None,
+        image_height_constraints: Tuple[int, int] | None = None,
     ):
         storage: Optional[FileStorage] = create_file_storage(api_key)
         return cls(
@@ -89,21 +137,14 @@ def create(
             model=model,
             storage=storage,
             image_to_image_supported=image_to_image_supported,
+            width_constraints=image_width_constraints,
+            height_constraints=image_height_constraints,
         )
 
-    def _validate_last_message(self, messages: List[Message]):
-        if not messages:
-            raise ValidationError("No messages provided")
-
-        last_message = messages[-1]
-        if last_message.role != Role.USER:
-            raise ValidationError("Last message must be from user")
-        return last_message
-
     async def compute_discarded_messages(
         self, params: ModelParameters, messages: List[Message]
     ) -> DiscardedMessages | None:
-        self._validate_last_message(messages)
+        _validate_last_message(messages)
         return list(range(len(messages) - 1))
 
     async def chat(
@@ -115,7 +156,7 @@ async def chat(
 
         text_prompt = None
         image_resources: List[DialResource] = []
-        last_message = self._validate_last_message(messages)
+        last_message = _validate_last_message(messages)
         # Handle text content
         match last_message.content:
             case str(text):
@@ -166,26 +207,30 @@ async def chat(
         if len(image_resources) > 1:
             raise ValidationError("Only one input image is supported")
 
+        if self.image_to_image_supported and image_resources:
+            image_resource = await image_resources[0].download(self.storage)
+            _validate_image_size(
+                image_resource, self.width_constraints, self.height_constraints
+            )
+        else:
+            image_resource = None
+
         response, _ = await self.client.ainvoke_non_streaming(
             self.model,
             remove_nones(
                 {
                     "prompt": text_prompt,
                     "image": (
-                        (
-                            await image_resources[0].download(self.storage)
-                        ).data_base64
-                        if image_resources
-                        else None
+                        image_resource.data_base64 if image_resource else None
                     ),
                     "mode": (
-                        "image-to-image" if image_resources else "text-to-image"
+                        "image-to-image" if image_resource else "text-to-image"
                     ),
                     "output_format": "png",
                     # This parameter controls how much input image will affect generation from 0 to 1,
                     # where 0 means that output will be identical to input image and 1 means that model will ignore input image
                     # Since there is no recommended default value, we use 0.5 as a middle ground
-                    "strength": 0.5 if image_resources else None,
+                    "strength": 0.5 if image_resource else None,
                 }
             ),
         )
diff --git a/tests/integration_tests/images/dog-sample-image.png b/tests/integration_tests/images/dog-sample-image.png
index 8428942..3a6b953 100644
Binary files a/tests/integration_tests/images/dog-sample-image.png and b/tests/integration_tests/images/dog-sample-image.png differ
diff --git a/tests/integration_tests/test_stable_diffusion.py b/tests/integration_tests/test_stable_diffusion.py
index 955b8d4..dd412d3 100644
--- a/tests/integration_tests/test_stable_diffusion.py
+++ b/tests/integration_tests/test_stable_diffusion.py
@@ -155,8 +155,12 @@ async def test_image_to_image_with_too_small_picture(
             model=deployment.value,
             messages=[user_with_image_content_part("test", BLUE_PNG_PICTURE)],
         )
-    assert exc_info.value.status_code == 400
-    assert "width must be between 640 and 1536" in exc_info.value.message
+
+    assert exc_info.value.status_code == 422
+    assert (
+        "Image width is 3, but should be between 640 and 1536"
+        in exc_info.value.message
+    )
 
 
 @pytest.mark.parametrize(