diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 7e798a3658..597a7ae5ce 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -45,13 +45,17 @@ async def upload_image(
     if not file.content_type.startswith("image"):
         raise HTTPException(status_code=415, detail="Not an image")
 
-    contents = await file.read()
+    metadata: Optional[str] = None
+    workflow: Optional[str] = None
 
+    contents = await file.read()
     try:
         pil_image = Image.open(io.BytesIO(contents))
         if crop_visible:
             bbox = pil_image.getbbox()
             pil_image = pil_image.crop(bbox)
+        metadata = pil_image.info.get("invokeai_metadata", None)
+        workflow = pil_image.info.get("invokeai_workflow", None)
     except Exception:
         # Error opening the image
         raise HTTPException(status_code=415, detail="Failed to read image")
@@ -63,6 +67,8 @@ async def upload_image(
             image_category=image_category,
             session_id=session_id,
             board_id=board_id,
+            metadata=metadata,
+            workflow=workflow,
             is_intermediate=is_intermediate,
         )
 
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index a84befcb2e..a4af24ec26 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -85,11 +85,8 @@ class CoreMetadata(BaseModelExcludeNull):
 class ImageMetadata(BaseModelExcludeNull):
     """An image's generation metadata"""
 
-    metadata: Optional[dict] = Field(
-        default=None,
-        description="The image's core metadata, if it was created in the Linear or Canvas UI",
-    )
-    graph: Optional[dict] = Field(default=None, description="The graph that created the image")
+    metadata: Optional[dict] = Field(default=None, description="The metadata associated with the image")
+    workflow: Optional[dict] = Field(default=None, description="The workflow associated with the image")
 
 
 @invocation_output("metadata_accumulator_output")
diff --git a/invokeai/app/services/image_file_storage.py b/invokeai/app/services/image_file_storage.py
index 75a5888175..e9da9e8577 100644
--- a/invokeai/app/services/image_file_storage.py
+++ b/invokeai/app/services/image_file_storage.py
@@ -59,7 +59,7 @@ class ImageFileStorageBase(ABC):
         self,
         image: PILImageType,
         image_name: str,
-        metadata: Optional[dict] = None,
+        metadata: Optional[Union[str, dict]] = None,
         workflow: Optional[str] = None,
         thumbnail_size: int = 256,
     ) -> None:
@@ -109,7 +109,7 @@ class DiskImageFileStorage(ImageFileStorageBase):
         self,
         image: PILImageType,
         image_name: str,
-        metadata: Optional[dict] = None,
+        metadata: Optional[Union[str, dict]] = None,
         workflow: Optional[str] = None,
         thumbnail_size: int = 256,
     ) -> None:
@@ -119,20 +119,10 @@ class DiskImageFileStorage(ImageFileStorageBase):
 
             pnginfo = PngImagePlugin.PngInfo()
 
-            if metadata is not None or workflow is not None:
-                if metadata is not None:
-                    pnginfo.add_text("invokeai_metadata", json.dumps(metadata))
-                if workflow is not None:
-                    pnginfo.add_text("invokeai_workflow", workflow)
-            else:
-                # For uploaded images, we want to retain metadata. PIL strips it on save; manually add it back
-                # TODO: retain non-invokeai metadata on save...
-                original_metadata = image.info.get("invokeai_metadata", None)
-                if original_metadata is not None:
-                    pnginfo.add_text("invokeai_metadata", original_metadata)
-                original_workflow = image.info.get("invokeai_workflow", None)
-                if original_workflow is not None:
-                    pnginfo.add_text("invokeai_workflow", original_workflow)
+            if metadata is not None:
+                pnginfo.add_text("invokeai_metadata", json.dumps(metadata) if type(metadata) is dict else metadata)
+            if workflow is not None:
+                pnginfo.add_text("invokeai_workflow", workflow)
 
             image.save(image_path, "PNG", pnginfo=pnginfo)
 
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index f743fd1fe2..d651aa41dc 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -3,11 +3,12 @@ import sqlite3
 import threading
 from abc import ABC, abstractmethod
 from datetime import datetime
-from typing import Generic, Optional, TypeVar, cast
+from typing import Generic, Optional, TypeVar, Union, cast
 
 from pydantic import BaseModel, Field
 from pydantic.generics import GenericModel
 
+from invokeai.app.invocations.metadata import ImageMetadata
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from invokeai.app.services.models.image_record import ImageRecord, ImageRecordChanges, deserialize_image_record
 
@@ -81,7 +82,7 @@ class ImageRecordStorageBase(ABC):
         pass
 
     @abstractmethod
-    def get_metadata(self, image_name: str) -> Optional[dict]:
+    def get_metadata(self, image_name: str) -> ImageMetadata:
         """Gets an image's metadata'."""
         pass
 
@@ -134,7 +135,8 @@ class ImageRecordStorageBase(ABC):
         height: int,
         session_id: Optional[str],
         node_id: Optional[str],
-        metadata: Optional[dict],
+        metadata: Optional[Union[str, dict]],
+        workflow: Optional[str],
         is_intermediate: bool = False,
         starred: bool = False,
     ) -> datetime:
@@ -204,6 +206,13 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                 """
             )
 
+        if "workflow" not in columns:
+            self._cursor.execute(
+                """--sql
+                ALTER TABLE images ADD COLUMN workflow TEXT;
+                """
+            )
+
         # Create the `images` table indices.
         self._cursor.execute(
             """--sql
@@ -269,22 +278,31 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
 
         return deserialize_image_record(dict(result))
 
-    def get_metadata(self, image_name: str) -> Optional[dict]:
+    def get_metadata(self, image_name: str) -> ImageMetadata:
         try:
             self._lock.acquire()
 
             self._cursor.execute(
                 """--sql
-                SELECT images.metadata FROM images
+                SELECT metadata, workflow FROM images
                 WHERE image_name = ?;
                 """,
                 (image_name,),
             )
 
             result = cast(Optional[sqlite3.Row], self._cursor.fetchone())
-            if not result or not result[0]:
-                return None
-            return json.loads(result[0])
+
+            if not result:
+                return ImageMetadata()
+
+            as_dict = dict(result)
+            metadata_raw = cast(Optional[str], as_dict.get("metadata", None))
+            workflow_raw = cast(Optional[str], as_dict.get("workflow", None))
+
+            return ImageMetadata(
+                metadata=json.loads(metadata_raw) if metadata_raw is not None else None,
+                workflow=json.loads(workflow_raw) if workflow_raw is not None else None,
+            )
         except sqlite3.Error as e:
             self._conn.rollback()
             raise ImageRecordNotFoundException from e
@@ -519,12 +537,15 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         width: int,
         height: int,
         node_id: Optional[str],
-        metadata: Optional[dict],
+        metadata: Optional[Union[str, dict]],
+        workflow: Optional[str],
         is_intermediate: bool = False,
         starred: bool = False,
     ) -> datetime:
         try:
-            metadata_json = None if metadata is None else json.dumps(metadata)
+            metadata_json: Optional[str] = None
+            if metadata is not None:
+                metadata_json = metadata if type(metadata) is str else json.dumps(metadata)
             self._lock.acquire()
             self._cursor.execute(
                 """--sql
@@ -537,10 +558,11 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     node_id,
                     session_id,
                     metadata,
+                    workflow,
                     is_intermediate,
                     starred
                     )
-                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?);
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?);
                 """,
                 (
                     image_name,
@@ -551,6 +573,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     node_id,
                     session_id,
                     metadata_json,
+                    workflow,
                     is_intermediate,
                     starred,
                 ),
diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index 08d5093a70..68f0aec98f 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from logging import Logger
-from typing import TYPE_CHECKING, Callable, Optional
+from typing import TYPE_CHECKING, Callable, Optional, Union
 
 from PIL.Image import Image as PILImageType
 
@@ -29,7 +29,6 @@ from invokeai.app.services.item_storage import ItemStorageABC
 from invokeai.app.services.models.image_record import ImageDTO, ImageRecord, ImageRecordChanges, image_record_to_dto
 from invokeai.app.services.resource_name import NameServiceBase
 from invokeai.app.services.urls import UrlServiceBase
-from invokeai.app.util.metadata import get_metadata_graph_from_raw_session
 
 if TYPE_CHECKING:
     from invokeai.app.services.graph import GraphExecutionState
@@ -71,7 +70,7 @@ class ImageServiceABC(ABC):
         session_id: Optional[str] = None,
         board_id: Optional[str] = None,
         is_intermediate: bool = False,
-        metadata: Optional[dict] = None,
+        metadata: Optional[Union[str, dict]] = None,
         workflow: Optional[str] = None,
     ) -> ImageDTO:
         """Creates an image, storing the file and its metadata."""
@@ -196,7 +195,7 @@ class ImageService(ImageServiceABC):
         session_id: Optional[str] = None,
         board_id: Optional[str] = None,
         is_intermediate: bool = False,
-        metadata: Optional[dict] = None,
+        metadata: Optional[Union[str, dict]] = None,
         workflow: Optional[str] = None,
     ) -> ImageDTO:
         if image_origin not in ResourceOrigin:
@@ -234,6 +233,7 @@ class ImageService(ImageServiceABC):
                 # Nullable fields
                 node_id=node_id,
                 metadata=metadata,
+                workflow=workflow,
                 session_id=session_id,
             )
             if board_id is not None:
@@ -311,23 +311,7 @@ class ImageService(ImageServiceABC):
 
     def get_metadata(self, image_name: str) -> Optional[ImageMetadata]:
         try:
-            image_record = self._services.image_records.get(image_name)
-            metadata = self._services.image_records.get_metadata(image_name)
-
-            if not image_record.session_id:
-                return ImageMetadata(metadata=metadata)
-
-            session_raw = self._services.graph_execution_manager.get_raw(image_record.session_id)
-            graph = None
-
-            if session_raw:
-                try:
-                    graph = get_metadata_graph_from_raw_session(session_raw)
-                except Exception as e:
-                    self._services.logger.warn(f"Failed to parse session graph: {e}")
-                    graph = None
-
-            return ImageMetadata(graph=graph, metadata=metadata)
+            return self._services.image_records.get_metadata(image_name)
         except ImageRecordNotFoundException:
             self._services.logger.error("Image record not found")
             raise
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
index 83b9466722..6cd7284c52 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
@@ -28,7 +28,7 @@ import {
   setShouldShowImageDetails,
   setShouldShowProgressInViewer,
 } from 'features/ui/store/uiSlice';
-import { memo, useCallback, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -41,9 +41,10 @@ import {
 import { FaCircleNodes, FaEllipsis } from 'react-icons/fa6';
 import {
   useGetImageDTOQuery,
-  useGetImageMetadataFromFileQuery,
+  useGetImageMetadataQuery,
 } from 'services/api/endpoints/images';
 import { menuListMotionProps } from 'theme/components/menu';
+import { useDebounce } from 'use-debounce';
 import { sentImageToImg2Img } from '../../store/actions';
 import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuItems';
 
@@ -92,7 +93,6 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     shouldShowImageDetails,
     lastSelectedImage,
     shouldShowProgressInViewer,
-    shouldFetchMetadataFromApi,
   } = useAppSelector(currentImageButtonsSelector);
 
   const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled;
@@ -107,16 +107,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     lastSelectedImage?.image_name ?? skipToken
   );
 
-  const getMetadataArg = useMemo(() => {
-    if (lastSelectedImage) {
-      return { image: lastSelectedImage, shouldFetchMetadataFromApi };
-    } else {
-      return skipToken;
-    }
-  }, [lastSelectedImage, shouldFetchMetadataFromApi]);
+  const [debouncedImageName] = useDebounce(lastSelectedImage?.image_name, 300);
 
-  const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    getMetadataArg,
+  const { metadata, workflow, isLoading } = useGetImageMetadataQuery(
+    debouncedImageName ?? skipToken,
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index 35a4e9f18c..0c4bd89837 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -1,8 +1,9 @@
 import { Flex, MenuItem, Spinner } from '@chakra-ui/react';
 import { useStore } from '@nanostores/react';
+import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { useAppToaster } from 'app/components/Toaster';
 import { $customStarUI } from 'app/store/nanostores/customStarUI';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch } from 'app/store/storeHooks';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import {
   imagesToChangeSelected,
@@ -32,12 +33,12 @@ import {
 import { FaCircleNodes } from 'react-icons/fa6';
 import { MdStar, MdStarBorder } from 'react-icons/md';
 import {
-  useGetImageMetadataFromFileQuery,
+  useGetImageMetadataQuery,
   useStarImagesMutation,
   useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
-import { configSelector } from '../../../system/store/configSelectors';
+import { useDebounce } from 'use-debounce';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 
 type SingleSelectionMenuItemsProps = {
@@ -53,11 +54,12 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   const toaster = useAppToaster();
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
-  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
   const customStarUi = useStore($customStarUI);
 
-  const { metadata, workflow, isLoading } = useGetImageMetadataFromFileQuery(
-    { image: imageDTO, shouldFetchMetadataFromApi },
+  const [debouncedImageName] = useDebounce(imageDTO.image_name, 300);
+
+  const { metadata, workflow, isLoading } = useGetImageMetadataQuery(
+    debouncedImageName ?? skipToken,
     {
       selectFromResult: (res) => ({
         isLoading: res.isFetching,
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index 8c7e69b2b1..ede5439f57 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -9,15 +9,15 @@ import {
   Tabs,
   Text,
 } from '@chakra-ui/react';
+import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { memo } from 'react';
-import { useGetImageMetadataFromFileQuery } from 'services/api/endpoints/images';
+import { useTranslation } from 'react-i18next';
+import { useGetImageMetadataQuery } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
+import { useDebounce } from 'use-debounce';
 import DataViewer from './DataViewer';
 import ImageMetadataActions from './ImageMetadataActions';
-import { useAppSelector } from '../../../../app/store/storeHooks';
-import { configSelector } from '../../../system/store/configSelectors';
-import { useTranslation } from 'react-i18next';
 
 type ImageMetadataViewerProps = {
   image: ImageDTO;
@@ -31,10 +31,10 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
   // });
   const { t } = useTranslation();
 
-  const { shouldFetchMetadataFromApi } = useAppSelector(configSelector);
+  const [debouncedImageName] = useDebounce(image.image_name, 300);
 
-  const { metadata, workflow } = useGetImageMetadataFromFileQuery(
-    { image, shouldFetchMetadataFromApi },
+  const { metadata, workflow } = useGetImageMetadataQuery(
+    debouncedImageName ?? skipToken,
     {
       selectFromResult: (res) => ({
         metadata: res?.currentData?.metadata,
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e653a6ec3e..587a0da84d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -10,6 +10,7 @@ import {
 import {
   ImageMetadataAndWorkflow,
   zCoreMetadata,
+  zWorkflow,
 } from 'features/nodes/types/types';
 import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob';
 import { keyBy } from 'lodash-es';
@@ -23,7 +24,6 @@ import {
   ListImagesArgs,
   OffsetPaginatedResults_ImageDTO_,
   PostUploadAction,
-  UnsafeImageMetadata,
 } from '../types';
 import {
   getCategories,
@@ -33,6 +33,7 @@ import {
   imagesSelectors,
 } from '../util';
 import { boardsApi } from './boards';
+import { logger } from 'app/logging/logger';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({
@@ -113,11 +114,33 @@ export const imagesApi = api.injectEndpoints({
       ],
       keepUnusedDataFor: 86400, // 24 hours
     }),
-    getImageMetadata: build.query<UnsafeImageMetadata, string>({
+    getImageMetadata: build.query<ImageMetadataAndWorkflow, string>({
       query: (image_name) => ({ url: `images/i/${image_name}/metadata` }),
       providesTags: (result, error, image_name) => [
         { type: 'ImageMetadata', id: image_name },
       ],
+      transformResponse: (
+        response: paths['/api/v1/images/i/{image_name}/metadata']['get']['responses']['200']['content']['application/json']
+      ) => {
+        const imageMetadataAndWorkflow: ImageMetadataAndWorkflow = {};
+        if (response?.metadata) {
+          const metadataResult = zCoreMetadata.safeParse(response.metadata);
+          if (metadataResult.success) {
+            imageMetadataAndWorkflow.metadata = metadataResult.data;
+          } else {
+            logger('images').warn('Problem parsing metadata');
+          }
+        }
+        if (response?.workflow) {
+          const workflowResult = zWorkflow.safeParse(response.workflow);
+          if (workflowResult.success) {
+            imageMetadataAndWorkflow.workflow = workflowResult.data;
+          } else {
+            logger('images').warn('Problem parsing workflow');
+          }
+        }
+        return imageMetadataAndWorkflow;
+      },
       keepUnusedDataFor: 86400, // 24 hours
     }),
     getImageMetadataFromFile: build.query<
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 87c0c6828d..cee50d82f9 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1287,6 +1287,11 @@ export type components = {
        * @default true
        */
       use_cache?: boolean;
+      /**
+       * CLIP
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
+       */
+      clip?: components["schemas"]["ClipField"];
       /**
        * Skipped Layers
        * @description Number of layers to skip in text encoder
@@ -1299,11 +1304,6 @@ export type components = {
        * @enum {string}
        */
       type: "clip_skip";
-      /**
-       * CLIP
-       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
-       */
-      clip?: components["schemas"]["ClipField"];
     };
     /**
      * ClipSkipInvocationOutput
@@ -3916,14 +3916,14 @@ export type components = {
     ImageMetadata: {
       /**
        * Metadata
-       * @description The image's core metadata, if it was created in the Linear or Canvas UI
+       * @description The metadata associated with the image
        */
       metadata?: Record<string, never>;
       /**
-       * Graph
-       * @description The graph that created the image
+       * Workflow
+       * @description The workflow associated with the image
        */
-      graph?: Record<string, never>;
+      workflow?: Record<string, never>;
     };
     /**
      * Multiply Images
@@ -7550,6 +7550,11 @@ export type components = {
        * @default false
        */
       use_cache?: boolean;
+      /**
+       * Image
+       * @description The image to load
+       */
+      image?: components["schemas"]["ImageField"];
       /**
        * Metadata
        * @description Optional core metadata to be written to image
@@ -7561,11 +7566,6 @@ export type components = {
        * @enum {string}
        */
       type: "save_image";
-      /**
-       * Image
-       * @description The image to load
-       */
-      image?: components["schemas"]["ImageField"];
     };
     /**
      * Scale Latents
@@ -7862,16 +7862,6 @@ export type components = {
        * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
        */
       session_id: string;
-      /**
-       * Field Values
-       * @description The field values that were used for this queue item
-       */
-      field_values?: components["schemas"]["NodeFieldValue"][];
-      /**
-       * Queue Id
-       * @description The id of the queue with which this item is associated
-       */
-      queue_id: string;
       /**
        * Error
        * @description The error message if this queue item errored
@@ -7897,6 +7887,16 @@ export type components = {
        * @description When this queue item was completed
        */
       completed_at?: string;
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
       /**
        * Session
        * @description The fully-populated session to be executed
@@ -7936,16 +7936,6 @@ export type components = {
        * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed.
        */
       session_id: string;
-      /**
-       * Field Values
-       * @description The field values that were used for this queue item
-       */
-      field_values?: components["schemas"]["NodeFieldValue"][];
-      /**
-       * Queue Id
-       * @description The id of the queue with which this item is associated
-       */
-      queue_id: string;
       /**
        * Error
        * @description The error message if this queue item errored
@@ -7971,6 +7961,16 @@ export type components = {
        * @description When this queue item was completed
        */
       completed_at?: string;
+      /**
+       * Queue Id
+       * @description The id of the queue with which this item is associated
+       */
+      queue_id: string;
+      /**
+       * Field Values
+       * @description The field values that were used for this queue item
+       */
+      field_values?: components["schemas"]["NodeFieldValue"][];
     };
     /** SessionQueueStatus */
     SessionQueueStatus: {
@@ -9095,6 +9095,12 @@ export type components = {
       /** Ui Order */
       ui_order?: number;
     };
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -9107,18 +9113,18 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * CLIPVisionModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    CLIPVisionModelFormat: "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * CLIPVisionModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    CLIPVisionModelFormat: "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
@@ -9131,12 +9137,6 @@ export type components = {
      * @enum {string}
      */
     IPAdapterModelFormat: "invokeai";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;