diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index a0ea69157c..cf58334667 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -1,9 +1,9 @@
 import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { memo, useCallback } from 'react';
-import ImageMetadataItem from './ImageMetadataItem';
 import { useTranslation } from 'react-i18next';
 import { isValidLoRAModel } from '../../../parameters/types/parameterSchemas';
+import ImageMetadataItem from './ImageMetadataItem';
 
 type Props = {
   metadata?: CoreMetadata;
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 9045646ad5..fc33200bd3 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -1,10 +1,6 @@
 import { useAppToaster } from 'app/components/Toaster';
 import { useAppDispatch } from 'app/store/storeHooks';
-import {
-  CoreMetadata,
-  LoRAMetadataType,
-  LoraInfo,
-} from 'features/nodes/types/types';
+import { CoreMetadata, LoRAMetadataType } from 'features/nodes/types/types';
 import {
   refinerModelChanged,
   setNegativeStylePromptSDXL,
@@ -19,6 +15,11 @@ import {
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { ImageDTO } from 'services/api/types';
+import {
+  loraModelsAdapter,
+  useGetLoRAModelsQuery,
+} from '../../../services/api/endpoints/models';
+import { loraRecalled } from '../../lora/store/loraSlice';
 import { initialImageSelected, modelSelected } from '../store/actions';
 import {
   setCfgScale,
@@ -50,8 +51,6 @@ import {
   isValidStrength,
   isValidWidth,
 } from '../types/parameterSchemas';
-import { loraRecalled } from '../../lora/store/loraSlice';
-import { useGetLoRAModelsQuery } from '../../../services/api/endpoints/models';
 
 export const useRecallParameters = () => {
   const dispatch = useAppDispatch();
@@ -318,45 +317,39 @@ export const useRecallParameters = () => {
    * Recall LoRA with toast
    */
 
-  const { data: loraModels } = useGetLoRAModelsQuery();
+  const { loras } = useGetLoRAModelsQuery(undefined, {
+    selectFromResult: (result) => ({
+      loras: result.data
+        ? loraModelsAdapter.getSelectors().selectAll(result.data)
+        : [],
+    }),
+  });
 
   const recallLoRA = useCallback(
-    (lora: LoRAMetadataType) => {
-      if (!isValidLoRAModel(lora.lora)) {
+    (loraMetadataItem: LoRAMetadataType) => {
+      if (!isValidLoRAModel(loraMetadataItem.lora)) {
         parameterNotSetToast();
         return;
       }
 
-      if (!loraModels || !loraModels.entities) {
+      const { base_model, model_name } = loraMetadataItem.lora;
+
+      const matchingLoRA = loras.find(
+        (l) => l.base_model === base_model && l.model_name === model_name
+      );
+
+      if (!matchingLoRA) {
         parameterNotSetToast();
         return;
       }
 
-      const matchingId = Object.keys(loraModels.entities).find((loraId) => {
-        const matchesBaseModel =
-          loraModels.entities[loraId]?.base_model === lora.lora.base_model;
-        const matchesModelName =
-          loraModels.entities[loraId]?.model_name === lora.lora.model_name;
-        return matchesBaseModel && matchesModelName;
-      });
-
-      if (!matchingId) {
-        parameterNotSetToast();
-        return;
-      }
-
-      const fullLoRA = loraModels.entities[matchingId];
-
-      if (!fullLoRA) {
-        parameterNotSetToast();
-        return;
-      }
-
-      dispatch(loraRecalled({ ...fullLoRA, weight: lora.weight }));
+      dispatch(
+        loraRecalled({ ...matchingLoRA, weight: loraMetadataItem.weight })
+      );
 
       parameterSetToast();
     },
-    [dispatch, parameterSetToast, parameterNotSetToast, loraModels]
+    [loras, dispatch, parameterSetToast, parameterNotSetToast]
   );
 
   /*
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index 9be8bd13f6..9db7762344 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -128,7 +128,7 @@ export const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
 const onnxModelsAdapter = createEntityAdapter<OnnxModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
-const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
+export const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
 export const controlNetModelsAdapter =