feat(ui): split out loras state from canvas rendering state

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts

@@ -1,6 +1,6 @@
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { loraDeleted } from 'features/controlLayers/store/canvasV2Slice';
+import { loraDeleted } from 'features/controlLayers/store/lorasSlice';
 import { modelChanged, vaeSelected } from 'features/controlLayers/store/paramsSlice';
 import { modelSelected } from 'features/parameters/store/actions';
 import { zParameterModel } from 'features/parameters/types/parameterSchemas';
@@ -31,7 +31,7 @@ export const addModelSelectedListener = (startAppListening: AppStartListening) =
         let modelsCleared = 0;
 
         // handle incompatible loras
-        state.canvasV2.loras.forEach((lora) => {
+        state.loras.loras.forEach((lora) => {
           if (lora.model.base !== newBaseModel) {
             dispatch(loraDeleted({ id: lora.id }));
             modelsCleared += 1;

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts

@@ -7,9 +7,9 @@ import {
   bboxWidthChanged,
   controlLayerModelChanged,
   ipaModelChanged,
-  loraDeleted,
   rgIPAdapterModelChanged,
 } from 'features/controlLayers/store/canvasV2Slice';
+import { loraDeleted } from 'features/controlLayers/store/lorasSlice';
 import { modelChanged, refinerModelChanged, vaeSelected } from 'features/controlLayers/store/paramsSlice';
 import { getEntityIdentifier } from 'features/controlLayers/store/types';
 import { calculateNewSize } from 'features/parameters/components/DocumentSize/calculateNewSize';
@@ -161,7 +161,7 @@ const handleVAEModels: ModelHandler = (models, state, dispatch, log) => {
 
 const handleLoRAModels: ModelHandler = (models, state, dispatch, _log) => {
   const loraModels = models.filter(isLoRAModelConfig);
-  state.canvasV2.loras.forEach((lora) => {
+  state.loras.loras.forEach((lora) => {
     const isLoRAAvailable = loraModels.some((m) => m.key === lora.model.key);
     if (isLoRAAvailable) {
       return;

invokeai/frontend/web/src/app/store/store.ts

@@ -9,6 +9,7 @@ import { changeBoardModalSlice } from 'features/changeBoardModal/store/slice';
 import { canvasSessionPersistConfig, canvasSessionSlice } from 'features/controlLayers/store/canvasSessionSlice';
 import { canvasSettingsPersistConfig, canvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { canvasV2PersistConfig, canvasV2Slice } from 'features/controlLayers/store/canvasV2Slice';
+import { lorasPersistConfig, lorasSlice } from 'features/controlLayers/store/lorasSlice';
 import { paramsPersistConfig, paramsSlice } from 'features/controlLayers/store/paramsSlice';
 import { toolPersistConfig, toolSlice } from 'features/controlLayers/store/toolSlice';
 import { deleteImageModalSlice } from 'features/deleteImageModal/store/slice';
@@ -65,6 +66,7 @@ const allReducers = {
   [toolSlice.name]: toolSlice.reducer,
   [canvasSettingsSlice.name]: canvasSettingsSlice.reducer,
   [canvasSessionSlice.name]: canvasSessionSlice.reducer,
+  [lorasSlice.name]: lorasSlice.reducer,
 };
 
 const rootReducer = combineReducers(allReducers);
@@ -110,6 +112,7 @@ const persistConfigs: { [key in keyof typeof allReducers]?: PersistConfig } = {
   [toolPersistConfig.name]: toolPersistConfig,
   [canvasSettingsPersistConfig.name]: canvasSettingsPersistConfig,
   [canvasSessionPersistConfig.name]: canvasSessionPersistConfig,
+  [lorasPersistConfig.name]: lorasPersistConfig,
 };
 
 const unserialize: UnserializeFunction = (data, key) => {

invokeai/frontend/web/src/features/controlLayers/store/canvasV2Slice.ts

@@ -8,7 +8,6 @@ import { bboxReducers } from 'features/controlLayers/store/bboxReducers';
 import { controlLayersReducers } from 'features/controlLayers/store/controlLayersReducers';
 import { inpaintMaskReducers } from 'features/controlLayers/store/inpaintMaskReducers';
 import { ipAdaptersReducers } from 'features/controlLayers/store/ipAdaptersReducers';
-import { lorasReducers } from 'features/controlLayers/store/lorasReducers';
 import { modelChanged } from 'features/controlLayers/store/paramsSlice';
 import { rasterLayersReducers } from 'features/controlLayers/store/rasterLayersReducers';
 import { regionsReducers } from 'features/controlLayers/store/regionsReducers';
@@ -52,7 +51,6 @@ const initialState: CanvasV2State = {
     isHidden: false,
     entities: [],
   },
-  loras: [],
   ipAdapters: { entities: [] },
   bbox: {
     rect: { x: 0, y: 0, width: 512, height: 512 },
@@ -77,8 +75,6 @@ export const canvasV2Slice = createSlice({
     ...regionsReducers,
     ...inpaintMaskReducers,
     ...bboxReducers,
-    // move out
-    ...lorasReducers,
     entitySelected: (state, action: PayloadAction<EntityIdentifierPayload>) => {
       const { entityIdentifier } = action.payload;
       state.selectedEntityIdentifier = entityIdentifier;
@@ -437,13 +433,6 @@ export const {
   rgIPAdapterMethodChanged,
   rgIPAdapterModelChanged,
   rgIPAdapterCLIPVisionModelChanged,
-  // LoRAs
-  loraAdded,
-  loraRecalled,
-  loraDeleted,
-  loraWeightChanged,
-  loraIsEnabledChanged,
-  loraAllDeleted,
   // Inpaint mask
   inpaintMaskAdded,
   // inpaintMaskRecalled,

invokeai/frontend/web/src/features/controlLayers/store/lorasReducers.ts

@@ -1,50 +0,0 @@
-import type { PayloadAction, SliceCaseReducers } from '@reduxjs/toolkit';
-import type { CanvasV2State, LoRA } from 'features/controlLayers/store/types';
-import { zModelIdentifierField } from 'features/nodes/types/common';
-import type { LoRAModelConfig } from 'services/api/types';
-import { v4 as uuidv4 } from 'uuid';
-
-export const defaultLoRAConfig: Pick<LoRA, 'weight' | 'isEnabled'> = {
-  weight: 0.75,
-  isEnabled: true,
-};
-
-const selectLoRA = (state: CanvasV2State, id: string) => state.loras.find((lora) => lora.id === id);
-
-export const lorasReducers = {
-  loraAdded: {
-    reducer: (state, action: PayloadAction<{ model: LoRAModelConfig; id: string }>) => {
-      const { model, id } = action.payload;
-      const parsedModel = zModelIdentifierField.parse(model);
-      state.loras.push({ ...defaultLoRAConfig, model: parsedModel, id });
-    },
-    prepare: (payload: { model: LoRAModelConfig }) => ({ payload: { ...payload, id: uuidv4() } }),
-  },
-  loraRecalled: (state, action: PayloadAction<{ lora: LoRA }>) => {
-    const { lora } = action.payload;
-    state.loras.push(lora);
-  },
-  loraDeleted: (state, action: PayloadAction<{ id: string }>) => {
-    const { id } = action.payload;
-    state.loras = state.loras.filter((lora) => lora.id !== id);
-  },
-  loraWeightChanged: (state, action: PayloadAction<{ id: string; weight: number }>) => {
-    const { id, weight } = action.payload;
-    const lora = selectLoRA(state, id);
-    if (!lora) {
-      return;
-    }
-    lora.weight = weight;
-  },
-  loraIsEnabledChanged: (state, action: PayloadAction<{ id: string; isEnabled: boolean }>) => {
-    const { id, isEnabled } = action.payload;
-    const lora = selectLoRA(state, id);
-    if (!lora) {
-      return;
-    }
-    lora.isEnabled = isEnabled;
-  },
-  loraAllDeleted: (state) => {
-    state.loras = [];
-  },
-} satisfies SliceCaseReducers<CanvasV2State>;

invokeai/frontend/web/src/features/controlLayers/store/lorasSlice.ts

@@ -0,0 +1,80 @@
+import { createSlice, type PayloadAction } from '@reduxjs/toolkit';
+import type { PersistConfig, RootState } from 'app/store/store';
+import type { LoRA } from 'features/controlLayers/store/types';
+import { zModelIdentifierField } from 'features/nodes/types/common';
+import type { LoRAModelConfig } from 'services/api/types';
+import { v4 as uuidv4 } from 'uuid';
+
+type LoRAsState = {
+  loras: LoRA[];
+};
+
+export const defaultLoRAConfig: Pick<LoRA, 'weight' | 'isEnabled'> = {
+  weight: 0.75,
+  isEnabled: true,
+};
+
+const initialState: LoRAsState = {
+  loras: [],
+};
+
+const selectLoRA = (state: LoRAsState, id: string) => state.loras.find((lora) => lora.id === id);
+
+export const lorasSlice = createSlice({
+  name: 'loras',
+  initialState,
+  reducers: {
+    loraAdded: {
+      reducer: (state, action: PayloadAction<{ model: LoRAModelConfig; id: string }>) => {
+        const { model, id } = action.payload;
+        const parsedModel = zModelIdentifierField.parse(model);
+        state.loras.push({ ...defaultLoRAConfig, model: parsedModel, id });
+      },
+      prepare: (payload: { model: LoRAModelConfig }) => ({ payload: { ...payload, id: uuidv4() } }),
+    },
+    loraRecalled: (state, action: PayloadAction<{ lora: LoRA }>) => {
+      const { lora } = action.payload;
+      state.loras.push(lora);
+    },
+    loraDeleted: (state, action: PayloadAction<{ id: string }>) => {
+      const { id } = action.payload;
+      state.loras = state.loras.filter((lora) => lora.id !== id);
+    },
+    loraWeightChanged: (state, action: PayloadAction<{ id: string; weight: number }>) => {
+      const { id, weight } = action.payload;
+      const lora = selectLoRA(state, id);
+      if (!lora) {
+        return;
+      }
+      lora.weight = weight;
+    },
+    loraIsEnabledChanged: (state, action: PayloadAction<{ id: string; isEnabled: boolean }>) => {
+      const { id, isEnabled } = action.payload;
+      const lora = selectLoRA(state, id);
+      if (!lora) {
+        return;
+      }
+      lora.isEnabled = isEnabled;
+    },
+    loraAllDeleted: (state) => {
+      state.loras = [];
+    },
+  },
+});
+
+export const { loraAdded, loraRecalled, loraDeleted, loraWeightChanged, loraIsEnabledChanged, loraAllDeleted } =
+  lorasSlice.actions;
+
+export const selectLoRAsSlice = (state: RootState) => state.loras;
+
+/* eslint-disable-next-line @typescript-eslint/no-explicit-any */
+const migrate = (state: any): any => {
+  return state;
+};
+
+export const lorasPersistConfig: PersistConfig<LoRAsState> = {
+  name: lorasSlice.name,
+  initialState,
+  migrate,
+  persistDenylist: [],
+};

invokeai/frontend/web/src/features/controlLayers/store/types.ts

@@ -714,7 +714,6 @@ export type CanvasV2State = {
   ipAdapters: {
     entities: CanvasIPAdapterState[];
   };
-  loras: LoRA[];
   bbox: {
     rect: {
       x: number;

invokeai/frontend/web/src/features/lora/components/LoRACard.tsx

@@ -11,7 +11,7 @@ import {
 } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { InformationalPopover } from 'common/components/InformationalPopover/InformationalPopover';
-import { loraDeleted, loraIsEnabledChanged, loraWeightChanged } from 'features/controlLayers/store/canvasV2Slice';
+import { loraDeleted, loraIsEnabledChanged, loraWeightChanged } from 'features/controlLayers/store/lorasSlice';
 import type { LoRA } from 'features/controlLayers/store/types';
 import { memo, useCallback } from 'react';
 import { PiTrashSimpleBold } from 'react-icons/pi';

invokeai/frontend/web/src/features/lora/components/LoRAList.tsx

@@ -1,11 +1,11 @@
 import { Flex } from '@invoke-ai/ui-library';
 import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
 import { useAppSelector } from 'app/store/storeHooks';
-import { selectCanvasV2Slice } from 'features/controlLayers/store/selectors';
+import { selectLoRAsSlice } from 'features/controlLayers/store/lorasSlice';
 import { LoRACard } from 'features/lora/components/LoRACard';
 import { memo } from 'react';
 
-const selectLoRAsArray = createMemoizedSelector(selectCanvasV2Slice, (canvasV2) => canvasV2.loras);
+const selectLoRAsArray = createMemoizedSelector(selectLoRAsSlice, (loras) => loras.loras);
 
 export const LoRAList = memo(() => {
   const lorasArray = useAppSelector(selectLoRAsArray);

invokeai/frontend/web/src/features/lora/components/LoRASelect.tsx

@@ -4,14 +4,13 @@ import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { InformationalPopover } from 'common/components/InformationalPopover/InformationalPopover';
 import { useGroupedModelCombobox } from 'common/hooks/useGroupedModelCombobox';
-import { loraAdded } from 'features/controlLayers/store/canvasV2Slice';
+import { loraAdded, selectLoRAsSlice } from 'features/controlLayers/store/lorasSlice';
-import { selectCanvasV2Slice } from 'features/controlLayers/store/selectors';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useLoRAModels } from 'services/api/hooks/modelsByType';
 import type { LoRAModelConfig } from 'services/api/types';
 
-const selectLoRAs = createMemoizedSelector(selectCanvasV2Slice, (canvasV2) => canvasV2.loras);
+const selectLoRAs = createMemoizedSelector(selectLoRAsSlice, (loras) => loras.loras);
 
 const LoRASelect = () => {
   const dispatch = useAppDispatch();

invokeai/frontend/web/src/features/metadata/util/parsers.ts

@@ -1,5 +1,5 @@
 import { getPrefixedId } from 'features/controlLayers/konva/util';
-import { defaultLoRAConfig } from 'features/controlLayers/store/lorasReducers';
+import { defaultLoRAConfig } from 'features/controlLayers/store/lorasSlice';
 import type {
   CanvasControlLayerState,
   CanvasInpaintMaskState,

invokeai/frontend/web/src/features/metadata/util/recallers.ts

@@ -1,10 +1,6 @@
 import { getStore } from 'app/store/nanostores/store';
-import {
+import { bboxHeightChanged, bboxWidthChanged } from 'features/controlLayers/store/canvasV2Slice';
-  bboxHeightChanged,
+import { loraAllDeleted, loraRecalled } from 'features/controlLayers/store/lorasSlice';
-  bboxWidthChanged,
-  loraAllDeleted,
-  loraRecalled,
-} from 'features/controlLayers/store/canvasV2Slice';
 import {
   negativePrompt2Changed,
   negativePromptChanged,

invokeai/frontend/web/src/features/nodes/util/graph/generation/addLoRAs.ts

@@ -14,7 +14,7 @@ export const addLoRAs = (
   posCond: Invocation<'compel'>,
   negCond: Invocation<'compel'>
 ): void => {
-  const enabledLoRAs = state.canvasV2.loras.filter(
+  const enabledLoRAs = state.loras.loras.filter(
     (l) => l.isEnabled && (l.model.base === 'sd-1' || l.model.base === 'sd-2')
   );
   const loraCount = enabledLoRAs.length;

invokeai/frontend/web/src/features/nodes/util/graph/generation/addSDXLLoRAs.ts

@@ -13,7 +13,7 @@ export const addSDXLLoRAs = (
   posCond: Invocation<'sdxl_compel_prompt'>,
   negCond: Invocation<'sdxl_compel_prompt'>
 ): void => {
-  const enabledLoRAs = state.canvasV2.loras.filter((l) => l.isEnabled && l.model.base === 'sdxl');
+  const enabledLoRAs = state.loras.loras.filter((l) => l.isEnabled && l.model.base === 'sdxl');
   const loraCount = enabledLoRAs.length;
 
   if (loraCount === 0) {

invokeai/frontend/web/src/features/prompt/PromptTriggerSelect.tsx

@@ -18,7 +18,7 @@ export const PromptTriggerSelect = memo(({ onSelect, onClose }: PromptTriggerSel
   const { t } = useTranslation();
 
   const mainModel = useAppSelector((s) => s.params.model);
-  const addedLoRAs = useAppSelector((s) => s.canvasV2.loras);
+  const addedLoRAs = useAppSelector((s) => s.loras.loras);
   const { data: mainModelConfig, isLoading: isLoadingMainModelConfig } = useGetModelConfigQuery(
     mainModel?.key ?? skipToken
   );

invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx

@@ -3,7 +3,7 @@ import { Box, Expander, Flex, FormControlGroup, StandaloneAccordion } from '@inv
 import { EMPTY_ARRAY } from 'app/store/constants';
 import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
 import { useAppSelector } from 'app/store/storeHooks';
-import { selectCanvasV2Slice } from 'features/controlLayers/store/selectors';
+import { selectLoRAsSlice } from 'features/controlLayers/store/lorasSlice';
 import { LoRAList } from 'features/lora/components/LoRAList';
 import LoRASelect from 'features/lora/components/LoRASelect';
 import ParamCFGScale from 'features/parameters/components/Core/ParamCFGScale';
@@ -29,8 +29,8 @@ export const GenerationSettingsAccordion = memo(() => {
   const activeTabName = useAppSelector(selectActiveTab);
   const selectBadges = useMemo(
     () =>
-      createMemoizedSelector(selectCanvasV2Slice, (canvasV2) => {
+      createMemoizedSelector(selectLoRAsSlice, (loras) => {
-        const enabledLoRAsCount = canvasV2.loras.filter((l) => l.isEnabled).length;
+        const enabledLoRAsCount = loras.loras.filter((l) => l.isEnabled).length;
         const loraTabBadges = enabledLoRAsCount ? [`${enabledLoRAsCount} ${t('models.concepts')}`] : EMPTY_ARRAY;
         const accordionBadges = modelConfig ? [modelConfig.name, modelConfig.base] : EMPTY_ARRAY;
         return { loraTabBadges, accordionBadges };