From 4b334be7d030d369bbac2d0dc4d30fb27954fa2b Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 23 Jul 2023 12:27:59 +1000
Subject: [PATCH 01/58] feat(nodes,ui): fix soft locks on session/invocation
 retrieval

When a queue item is popped for processing, we need to retrieve its session from the DB. Pydantic serializes the graph at this stage.

It's possible for a graph to have been made invalid during the graph preparation stage (e.g. an ancestor node executes, and its output is not valid for its successor node's input field).

When this occurs, the session in the DB will fail validation, but we don't have a chance to find out until it is retrieved and parsed by pydantic.

This logic was previously not wrapped in any exception handling.

Just after retrieving a session, we retrieve the specific invocation to execute from the session. It's possible that this could also have some sort of error, though it should be impossible for it to be a pydantic validation error (that would have been caught during session validation). There was also no exception handling here.

When either of these processes fail, the processor gets soft-locked because the processor's cleanup logic is never run. (I didn't dig deeper into exactly what cleanup is not happening, because the fix is to just handle the exceptions.)

This PR adds exception handling to both the session retrieval and node retrieval and events for each: `session_retrieval_error` and `invocation_retrieval_error`.

These events are caught and displayed in the UI as toasts, along with the type of the python exception (e.g. `Validation Error`). The events are also logged to the browser console.
---
 invokeai/app/services/events.py               | 76 +++++++++++++++----
 invokeai/app/services/processor.py            | 41 +++++++---
 .../middleware/listenerMiddleware/index.ts    |  4 +
 .../listeners/sessionCreated.ts               |  7 +-
 .../listeners/sessionInvoked.ts               |  3 +-
 .../socketInvocationRetrievalError.ts         | 20 +++++
 .../socketio/socketSessionRetrievalError.ts   | 20 +++++
 .../src/features/system/store/systemSlice.ts  | 62 +++++++++------
 .../web/src/services/api/thunks/session.ts    | 13 +++-
 .../web/src/services/events/actions.ts        | 34 +++++++++
 .../frontend/web/src/services/events/types.ts | 26 +++++++
 .../services/events/util/setEventListeners.ts | 24 ++++++
 12 files changed, 273 insertions(+), 57 deletions(-)
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationRetrievalError.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSessionRetrievalError.ts

diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py
index 35003536e6..73d74de2d9 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events.py
@@ -3,7 +3,13 @@
 from typing import Any, Optional
 from invokeai.app.models.image import ProgressImage
 from invokeai.app.util.misc import get_timestamp
-from invokeai.app.services.model_manager_service import BaseModelType, ModelType, SubModelType, ModelInfo
+from invokeai.app.services.model_manager_service import (
+    BaseModelType,
+    ModelType,
+    SubModelType,
+    ModelInfo,
+)
+
 
 class EventServiceBase:
     session_event: str = "session_event"
@@ -38,7 +44,9 @@ class EventServiceBase:
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
-                progress_image=progress_image.dict() if progress_image is not None else None,
+                progress_image=progress_image.dict()
+                if progress_image is not None
+                else None,
                 step=step,
                 total_steps=total_steps,
             ),
@@ -67,6 +75,7 @@ class EventServiceBase:
         graph_execution_state_id: str,
         node: dict,
         source_node_id: str,
+        error_type: str,
         error: str,
     ) -> None:
         """Emitted when an invocation has completed"""
@@ -76,6 +85,7 @@ class EventServiceBase:
                 graph_execution_state_id=graph_execution_state_id,
                 node=node,
                 source_node_id=source_node_id,
+                error_type=error_type,
                 error=error,
             ),
         )
@@ -102,13 +112,13 @@ class EventServiceBase:
             ),
         )
 
-    def emit_model_load_started (
-            self,
-            graph_execution_state_id: str,
-            model_name: str,
-            base_model: BaseModelType,
-            model_type: ModelType,
-            submodel: SubModelType,
+    def emit_model_load_started(
+        self,
+        graph_execution_state_id: str,
+        model_name: str,
+        base_model: BaseModelType,
+        model_type: ModelType,
+        submodel: SubModelType,
     ) -> None:
         """Emitted when a model is requested"""
         self.__emit_session_event(
@@ -123,13 +133,13 @@ class EventServiceBase:
         )
 
     def emit_model_load_completed(
-            self,
-            graph_execution_state_id: str,
-            model_name: str,
-            base_model: BaseModelType,
-            model_type: ModelType,
-            submodel: SubModelType,
-            model_info: ModelInfo,
+        self,
+        graph_execution_state_id: str,
+        model_name: str,
+        base_model: BaseModelType,
+        model_type: ModelType,
+        submodel: SubModelType,
+        model_info: ModelInfo,
     ) -> None:
         """Emitted when a model is correctly loaded (returns model info)"""
         self.__emit_session_event(
@@ -145,3 +155,37 @@ class EventServiceBase:
                 precision=str(model_info.precision),
             ),
         )
+
+    def emit_session_retrieval_error(
+        self,
+        graph_execution_state_id: str,
+        error_type: str,
+        error: str,
+    ) -> None:
+        """Emitted when session retrieval fails"""
+        self.__emit_session_event(
+            event_name="session_retrieval_error",
+            payload=dict(
+                graph_execution_state_id=graph_execution_state_id,
+                error_type=error_type,
+                error=error,
+            ),
+        )
+
+    def emit_invocation_retrieval_error(
+        self,
+        graph_execution_state_id: str,
+        node_id: str,
+        error_type: str,
+        error: str,
+    ) -> None:
+        """Emitted when invocation retrieval fails"""
+        self.__emit_session_event(
+            event_name="invocation_retrieval_error",
+            payload=dict(
+                graph_execution_state_id=graph_execution_state_id,
+                node_id=node_id,
+                error_type=error_type,
+                error=error,
+            ),
+        )
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index e11eb84b3d..5995e4ffc3 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -39,21 +39,41 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 try:
                     queue_item: InvocationQueueItem = self.__invoker.services.queue.get()
                 except Exception as e:
-                    logger.debug("Exception while getting from queue: %s" % e)
+                    self.__invoker.services.logger.error("Exception while getting from queue:\n%s" % e)
 
                 if not queue_item:  # Probably stopping
                     # do not hammer the queue
                     time.sleep(0.5)
                     continue
 
-                graph_execution_state = (
-                    self.__invoker.services.graph_execution_manager.get(
-                        queue_item.graph_execution_state_id
+                try:
+                    graph_execution_state = (
+                        self.__invoker.services.graph_execution_manager.get(
+                            queue_item.graph_execution_state_id
+                        )
                     )
-                )
-                invocation = graph_execution_state.execution_graph.get_node(
-                    queue_item.invocation_id
-                )
+                except Exception as e:
+                    self.__invoker.services.logger.error("Exception while retrieving session:\n%s" % e)
+                    self.__invoker.services.events.emit_session_retrieval_error(
+                        graph_execution_state_id=queue_item.graph_execution_state_id,
+                        error_type=e.__class__.__name__,
+                        error=traceback.format_exc(),
+                    )
+                    continue
+                
+                try:
+                    invocation = graph_execution_state.execution_graph.get_node(
+                        queue_item.invocation_id
+                    )
+                except Exception as e:
+                    self.__invoker.services.logger.error("Exception while retrieving invocation:\n%s" % e)
+                    self.__invoker.services.events.emit_invocation_retrieval_error(
+                        graph_execution_state_id=queue_item.graph_execution_state_id,
+                        node_id=queue_item.invocation_id,
+                        error_type=e.__class__.__name__,
+                        error=traceback.format_exc(),
+                    )
+                    continue
 
                 # get the source node id to provide to clients (the prepared node id is not as useful)
                 source_node_id = graph_execution_state.prepared_source_mapping[invocation.id]
@@ -114,11 +134,13 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                         graph_execution_state
                     )
 
+                    self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                     # Send error event
                     self.__invoker.services.events.emit_invocation_error(
                         graph_execution_state_id=graph_execution_state.id,
                         node=invocation.dict(),
                         source_node_id=source_node_id,
+                        error_type=e.__class__.__name__,
                         error=error,
                     )
 
@@ -136,11 +158,12 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     try:
                         self.__invoker.invoke(graph_execution_state, invoke_all=True)
                     except Exception as e:
-                        logger.error("Error while invoking: %s" % e)
+                        self.__invoker.services.logger.error("Error while invoking:\n%s" % e)
                         self.__invoker.services.events.emit_invocation_error(
                             graph_execution_state_id=graph_execution_state.id,
                             node=invocation.dict(),
                             source_node_id=source_node_id,
+                            error_type=e.__class__.__name__,
                             error=traceback.format_exc()
                         )
                 elif is_complete:
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index 04f0ce7a0b..5adc4f5e5e 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -75,6 +75,8 @@ import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas';
 import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage';
 import { addUserInvokedNodesListener } from './listeners/userInvokedNodes';
 import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage';
+import { addSessionRetrievalErrorEventListener } from './listeners/socketio/socketSessionRetrievalError';
+import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError';
 
 export const listenerMiddleware = createListenerMiddleware();
 
@@ -153,6 +155,8 @@ addSocketDisconnectedListener();
 addSocketSubscribedListener();
 addSocketUnsubscribedListener();
 addModelLoadEventListener();
+addSessionRetrievalErrorEventListener();
+addInvocationRetrievalErrorEventListener();
 
 // Session Created
 addSessionCreatedPendingListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionCreated.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionCreated.ts
index 5709d87d22..e89acb7542 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionCreated.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionCreated.ts
@@ -33,12 +33,11 @@ export const addSessionCreatedRejectedListener = () => {
     effect: (action) => {
       const log = logger('session');
       if (action.payload) {
-        const { error } = action.payload;
+        const { error, status } = action.payload;
         const graph = parseify(action.meta.arg);
-        const stringifiedError = JSON.stringify(error);
         log.error(
-          { graph, error: serializeError(error) },
-          `Problem creating session: ${stringifiedError}`
+          { graph, status, error: serializeError(error) },
+          `Problem creating session`
         );
       }
     },
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionInvoked.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionInvoked.ts
index 60009ed194..a62f75d957 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionInvoked.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionInvoked.ts
@@ -31,13 +31,12 @@ export const addSessionInvokedRejectedListener = () => {
       const { session_id } = action.meta.arg;
       if (action.payload) {
         const { error } = action.payload;
-        const stringifiedError = JSON.stringify(error);
         log.error(
           {
             session_id,
             error: serializeError(error),
           },
-          `Problem invoking session: ${stringifiedError}`
+          `Problem invoking session`
         );
       }
     },
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationRetrievalError.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationRetrievalError.ts
new file mode 100644
index 0000000000..aa88457eb7
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationRetrievalError.ts
@@ -0,0 +1,20 @@
+import { logger } from 'app/logging/logger';
+import {
+  appSocketInvocationRetrievalError,
+  socketInvocationRetrievalError,
+} from 'services/events/actions';
+import { startAppListening } from '../..';
+
+export const addInvocationRetrievalErrorEventListener = () => {
+  startAppListening({
+    actionCreator: socketInvocationRetrievalError,
+    effect: (action, { dispatch }) => {
+      const log = logger('socketio');
+      log.error(
+        action.payload,
+        `Invocation retrieval error (${action.payload.data.graph_execution_state_id})`
+      );
+      dispatch(appSocketInvocationRetrievalError(action.payload));
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSessionRetrievalError.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSessionRetrievalError.ts
new file mode 100644
index 0000000000..7efb7f463a
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSessionRetrievalError.ts
@@ -0,0 +1,20 @@
+import { logger } from 'app/logging/logger';
+import {
+  appSocketSessionRetrievalError,
+  socketSessionRetrievalError,
+} from 'services/events/actions';
+import { startAppListening } from '../..';
+
+export const addSessionRetrievalErrorEventListener = () => {
+  startAppListening({
+    actionCreator: socketSessionRetrievalError,
+    effect: (action, { dispatch }) => {
+      const log = logger('socketio');
+      log.error(
+        action.payload,
+        `Session retrieval error (${action.payload.data.graph_execution_state_id})`
+      );
+      dispatch(appSocketSessionRetrievalError(action.payload));
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 629a4f0139..b7a5e606e2 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -1,5 +1,5 @@
 import { UseToastOptions } from '@chakra-ui/react';
-import { PayloadAction, createSlice } from '@reduxjs/toolkit';
+import { PayloadAction, createSlice, isAnyOf } from '@reduxjs/toolkit';
 import { InvokeLogLevel } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import { nodeTemplatesBuilt } from 'features/nodes/store/nodesSlice';
@@ -16,13 +16,16 @@ import {
   appSocketGraphExecutionStateComplete,
   appSocketInvocationComplete,
   appSocketInvocationError,
+  appSocketInvocationRetrievalError,
   appSocketInvocationStarted,
+  appSocketSessionRetrievalError,
   appSocketSubscribed,
   appSocketUnsubscribed,
 } from 'services/events/actions';
 import { ProgressImage } from 'services/events/types';
 import { makeToast } from '../util/makeToast';
 import { LANGUAGES } from './constants';
+import { startCase } from 'lodash-es';
 
 export type CancelStrategy = 'immediate' | 'scheduled';
 
@@ -288,25 +291,6 @@ export const systemSlice = createSlice({
       }
     });
 
-    /**
-     * Invocation Error
-     */
-    builder.addCase(appSocketInvocationError, (state) => {
-      state.isProcessing = false;
-      state.isCancelable = true;
-      // state.currentIteration = 0;
-      // state.totalIterations = 0;
-      state.currentStatusHasSteps = false;
-      state.currentStep = 0;
-      state.totalSteps = 0;
-      state.statusTranslationKey = 'common.statusError';
-      state.progressImage = null;
-
-      state.toastQueue.push(
-        makeToast({ title: t('toast.serverError'), status: 'error' })
-      );
-    });
-
     /**
      * Graph Execution State Complete
      */
@@ -362,7 +346,7 @@ export const systemSlice = createSlice({
      * Session Invoked - REJECTED
      * Session Created - REJECTED
      */
-    builder.addMatcher(isAnySessionRejected, (state) => {
+    builder.addMatcher(isAnySessionRejected, (state, action) => {
       state.isProcessing = false;
       state.isCancelable = false;
       state.isCancelScheduled = false;
@@ -372,7 +356,35 @@ export const systemSlice = createSlice({
       state.progressImage = null;
 
       state.toastQueue.push(
-        makeToast({ title: t('toast.serverError'), status: 'error' })
+        makeToast({
+          title: t('toast.serverError'),
+          status: 'error',
+          description:
+            action.payload?.status === 422 ? 'Validation Error' : undefined,
+        })
+      );
+    });
+
+    /**
+     * Any server error
+     */
+    builder.addMatcher(isAnyServerError, (state, action) => {
+      state.isProcessing = false;
+      state.isCancelable = true;
+      // state.currentIteration = 0;
+      // state.totalIterations = 0;
+      state.currentStatusHasSteps = false;
+      state.currentStep = 0;
+      state.totalSteps = 0;
+      state.statusTranslationKey = 'common.statusError';
+      state.progressImage = null;
+
+      state.toastQueue.push(
+        makeToast({
+          title: t('toast.serverError'),
+          status: 'error',
+          description: startCase(action.payload.data.error_type),
+        })
       );
     });
   },
@@ -400,3 +412,9 @@ export const {
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
+
+const isAnyServerError = isAnyOf(
+  appSocketInvocationError,
+  appSocketSessionRetrievalError,
+  appSocketInvocationRetrievalError
+);
diff --git a/invokeai/frontend/web/src/services/api/thunks/session.ts b/invokeai/frontend/web/src/services/api/thunks/session.ts
index 6d20b9dd33..5588f25b46 100644
--- a/invokeai/frontend/web/src/services/api/thunks/session.ts
+++ b/invokeai/frontend/web/src/services/api/thunks/session.ts
@@ -18,7 +18,7 @@ type CreateSessionResponse = O.Required<
 >;
 
 type CreateSessionThunkConfig = {
-  rejectValue: { arg: CreateSessionArg; error: unknown };
+  rejectValue: { arg: CreateSessionArg; status: number; error: unknown };
 };
 
 /**
@@ -36,7 +36,7 @@ export const sessionCreated = createAsyncThunk<
   });
 
   if (error) {
-    return rejectWithValue({ arg, error });
+    return rejectWithValue({ arg, status: response.status, error });
   }
 
   return data;
@@ -53,6 +53,7 @@ type InvokedSessionThunkConfig = {
   rejectValue: {
     arg: InvokedSessionArg;
     error: unknown;
+    status: number;
   };
 };
 
@@ -78,9 +79,13 @@ export const sessionInvoked = createAsyncThunk<
 
   if (error) {
     if (isErrorWithStatus(error) && error.status === 403) {
-      return rejectWithValue({ arg, error: (error as any).body.detail });
+      return rejectWithValue({
+        arg,
+        status: response.status,
+        error: (error as any).body.detail,
+      });
     }
-    return rejectWithValue({ arg, error });
+    return rejectWithValue({ arg, status: response.status, error });
   }
 });
 
diff --git a/invokeai/frontend/web/src/services/events/actions.ts b/invokeai/frontend/web/src/services/events/actions.ts
index b6316c5e95..35ebb725cb 100644
--- a/invokeai/frontend/web/src/services/events/actions.ts
+++ b/invokeai/frontend/web/src/services/events/actions.ts
@@ -4,9 +4,11 @@ import {
   GraphExecutionStateCompleteEvent,
   InvocationCompleteEvent,
   InvocationErrorEvent,
+  InvocationRetrievalErrorEvent,
   InvocationStartedEvent,
   ModelLoadCompletedEvent,
   ModelLoadStartedEvent,
+  SessionRetrievalErrorEvent,
 } from 'services/events/types';
 
 // Create actions for each socket
@@ -181,3 +183,35 @@ export const socketModelLoadCompleted = createAction<{
 export const appSocketModelLoadCompleted = createAction<{
   data: ModelLoadCompletedEvent;
 }>('socket/appSocketModelLoadCompleted');
+
+/**
+ * Socket.IO Session Retrieval Error
+ *
+ * Do not use. Only for use in middleware.
+ */
+export const socketSessionRetrievalError = createAction<{
+  data: SessionRetrievalErrorEvent;
+}>('socket/socketSessionRetrievalError');
+
+/**
+ * App-level Session Retrieval Error
+ */
+export const appSocketSessionRetrievalError = createAction<{
+  data: SessionRetrievalErrorEvent;
+}>('socket/appSocketSessionRetrievalError');
+
+/**
+ * Socket.IO Invocation Retrieval Error
+ *
+ * Do not use. Only for use in middleware.
+ */
+export const socketInvocationRetrievalError = createAction<{
+  data: InvocationRetrievalErrorEvent;
+}>('socket/socketInvocationRetrievalError');
+
+/**
+ * App-level Invocation Retrieval Error
+ */
+export const appSocketInvocationRetrievalError = createAction<{
+  data: InvocationRetrievalErrorEvent;
+}>('socket/appSocketInvocationRetrievalError');
diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts
index ec1b55e3fe..37f5f24eac 100644
--- a/invokeai/frontend/web/src/services/events/types.ts
+++ b/invokeai/frontend/web/src/services/events/types.ts
@@ -87,6 +87,7 @@ export type InvocationErrorEvent = {
   graph_execution_state_id: string;
   node: BaseNode;
   source_node_id: string;
+  error_type: string;
   error: string;
 };
 
@@ -110,6 +111,29 @@ export type GraphExecutionStateCompleteEvent = {
   graph_execution_state_id: string;
 };
 
+/**
+ * A `session_retrieval_error` socket.io event.
+ *
+ * @example socket.on('session_retrieval_error', (data: SessionRetrievalErrorEvent) => { ... }
+ */
+export type SessionRetrievalErrorEvent = {
+  graph_execution_state_id: string;
+  error_type: string;
+  error: string;
+};
+
+/**
+ * A `invocation_retrieval_error` socket.io event.
+ *
+ * @example socket.on('invocation_retrieval_error', (data: InvocationRetrievalErrorEvent) => { ... }
+ */
+export type InvocationRetrievalErrorEvent = {
+  graph_execution_state_id: string;
+  node_id: string;
+  error_type: string;
+  error: string;
+};
+
 export type ClientEmitSubscribe = {
   session: string;
 };
@@ -128,6 +152,8 @@ export type ServerToClientEvents = {
   ) => void;
   model_load_started: (payload: ModelLoadStartedEvent) => void;
   model_load_completed: (payload: ModelLoadCompletedEvent) => void;
+  session_retrieval_error: (payload: SessionRetrievalErrorEvent) => void;
+  invocation_retrieval_error: (payload: InvocationRetrievalErrorEvent) => void;
 };
 
 export type ClientToServerEvents = {
diff --git a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
index d44a549183..9ebb7ffbff 100644
--- a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
+++ b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts
@@ -11,9 +11,11 @@ import {
   socketGraphExecutionStateComplete,
   socketInvocationComplete,
   socketInvocationError,
+  socketInvocationRetrievalError,
   socketInvocationStarted,
   socketModelLoadCompleted,
   socketModelLoadStarted,
+  socketSessionRetrievalError,
   socketSubscribed,
 } from '../actions';
 import { ClientToServerEvents, ServerToClientEvents } from '../types';
@@ -138,4 +140,26 @@ export const setEventListeners = (arg: SetEventListenersArg) => {
       })
     );
   });
+
+  /**
+   * Session retrieval error
+   */
+  socket.on('session_retrieval_error', (data) => {
+    dispatch(
+      socketSessionRetrievalError({
+        data,
+      })
+    );
+  });
+
+  /**
+   * Invocation retrieval error
+   */
+  socket.on('invocation_retrieval_error', (data) => {
+    dispatch(
+      socketInvocationRetrievalError({
+        data,
+      })
+    );
+  });
 };

From 28031ead708fadf51ba38a9b162c2b0a72f851ee Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 23 Jul 2023 22:34:31 +1000
Subject: [PATCH 02/58] feat(ui): display canvas generation mode in status text

- use the existing logic to determine if generation is txt2img, img2img, inpaint or outpaint
- technically `outpaint` and `inpaint` are the same, just display
"Inpaint" if its either
- debounce this by 1s to prevent jank
---
 .../listeners/userInvokedCanvas.ts            |  2 +-
 .../canvas/components/IAICanvasStatusText.tsx |  3 +-
 .../IAICanvasToolbar/IAICanvasToolbar.tsx     | 21 ++++---
 .../src/features/canvas/store/canvasSlice.ts  |  5 ++
 .../src/features/canvas/store/canvasTypes.ts  |  3 +
 .../src/features/canvas/util/getCanvasData.ts |  7 +--
 .../canvas/util/getCanvasGenerationMode.ts    |  3 +-
 .../Canvas/GenerationModeStatusText.tsx       | 55 +++++++++++++++++++
 8 files changed, 81 insertions(+), 18 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
index 2ef62aed7b..17b2eeed46 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
@@ -40,7 +40,7 @@ export const addUserInvokedCanvasListener = () => {
       const state = getState();
 
       // Build canvas blobs
-      const canvasBlobsAndImageData = await getCanvasData(state);
+      const canvasBlobsAndImageData = await getCanvasData(state.canvas);
 
       if (!canvasBlobsAndImageData) {
         log.error('Unable to create canvas data');
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
index 69bf628a39..8c1dfbb86f 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
@@ -2,8 +2,8 @@ import { Box, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppSelector } from 'app/store/storeHooks';
 import { canvasSelector } from 'features/canvas/store/canvasSelectors';
+import GenerationModeStatusText from 'features/parameters/components/Parameters/Canvas/GenerationModeStatusText';
 import { isEqual } from 'lodash-es';
-
 import { useTranslation } from 'react-i18next';
 import roundToHundreth from '../util/roundToHundreth';
 import IAICanvasStatusTextCursorPos from './IAICanvasStatusText/IAICanvasStatusTextCursorPos';
@@ -110,6 +110,7 @@ const IAICanvasStatusText = () => {
         },
       }}
     >
+      <GenerationModeStatusText />
       <Box
         style={{
           color: activeLayerColor,
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
index 195e520366..26ccfe31b6 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx
@@ -2,7 +2,15 @@ import { Box, ButtonGroup, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
 import { useSingleAndDoubleClick } from 'common/hooks/useSingleAndDoubleClick';
+import {
+  canvasCopiedToClipboard,
+  canvasDownloadedAsImage,
+  canvasMerged,
+  canvasSavedToGallery,
+} from 'features/canvas/store/actions';
 import {
   canvasSelector,
   isStagingSelector,
@@ -21,16 +29,8 @@ import {
 } from 'features/canvas/store/canvasTypes';
 import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
 import { systemSelector } from 'features/system/store/systemSelectors';
+import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { isEqual } from 'lodash-es';
-
-import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
-import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
-import {
-  canvasCopiedToClipboard,
-  canvasDownloadedAsImage,
-  canvasMerged,
-  canvasSavedToGallery,
-} from 'features/canvas/store/actions';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -48,7 +48,6 @@ import IAICanvasRedoButton from './IAICanvasRedoButton';
 import IAICanvasSettingsButtonPopover from './IAICanvasSettingsButtonPopover';
 import IAICanvasToolChooserOptions from './IAICanvasToolChooserOptions';
 import IAICanvasUndoButton from './IAICanvasUndoButton';
-import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 
 export const selector = createSelector(
   [systemSelector, canvasSelector, isStagingSelector],
@@ -220,7 +219,7 @@ const IAICanvasToolbar = () => {
       }}
     >
       <Box w={24}>
-        <IAIMantineSearchableSelect
+        <IAIMantineSelect
           tooltip={`${t('unifiedCanvas.layer')} (Q)`}
           value={layer}
           data={LAYER_NAMES_DICT}
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index 3163e513e9..dc91c1c769 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -30,6 +30,7 @@ import {
   CanvasState,
   CanvasTool,
   Dimensions,
+  GenerationMode,
   isCanvasAnyLine,
   isCanvasBaseImage,
   isCanvasMaskLine,
@@ -858,6 +859,9 @@ export const canvasSlice = createSlice({
       state.isMovingBoundingBox = false;
       state.isTransformingBoundingBox = false;
     },
+    generationModeChanged: (state, action: PayloadAction<GenerationMode>) => {
+      state.generationMode = action.payload;
+    },
   },
   extraReducers: (builder) => {
     builder.addCase(sessionCanceled.pending, (state) => {
@@ -955,6 +959,7 @@ export const {
   stagingAreaInitialized,
   canvasSessionIdChanged,
   setShouldAntialias,
+  generationModeChanged,
 } = canvasSlice.actions;
 
 export default canvasSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
index 48d59395ab..ba85a7e132 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
@@ -168,4 +168,7 @@ export interface CanvasState {
   stageDimensions: Dimensions;
   stageScale: number;
   tool: CanvasTool;
+  generationMode?: GenerationMode;
 }
+
+export type GenerationMode = 'txt2img' | 'img2img' | 'inpaint' | 'outpaint';
diff --git a/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts b/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
index d37ee7b8d0..855420f78a 100644
--- a/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
+++ b/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
@@ -1,6 +1,5 @@
 import { logger } from 'app/logging/logger';
-import { RootState } from 'app/store/store';
-import { isCanvasMaskLine } from '../store/canvasTypes';
+import { CanvasState, isCanvasMaskLine } from '../store/canvasTypes';
 import createMaskStage from './createMaskStage';
 import { getCanvasBaseLayer, getCanvasStage } from './konvaInstanceProvider';
 import { konvaNodeToBlob } from './konvaNodeToBlob';
@@ -9,7 +8,7 @@ import { konvaNodeToImageData } from './konvaNodeToImageData';
 /**
  * Gets Blob and ImageData objects for the base and mask layers
  */
-export const getCanvasData = async (state: RootState) => {
+export const getCanvasData = async (canvasState: CanvasState) => {
   const log = logger('canvas');
 
   const canvasBaseLayer = getCanvasBaseLayer();
@@ -26,7 +25,7 @@ export const getCanvasData = async (state: RootState) => {
     boundingBoxDimensions,
     isMaskEnabled,
     shouldPreserveMaskedArea,
-  } = state.canvas;
+  } = canvasState;
 
   const boundingBox = {
     ...boundingBoxCoordinates,
diff --git a/invokeai/frontend/web/src/features/canvas/util/getCanvasGenerationMode.ts b/invokeai/frontend/web/src/features/canvas/util/getCanvasGenerationMode.ts
index 5b38ecf938..d3e8792690 100644
--- a/invokeai/frontend/web/src/features/canvas/util/getCanvasGenerationMode.ts
+++ b/invokeai/frontend/web/src/features/canvas/util/getCanvasGenerationMode.ts
@@ -2,11 +2,12 @@ import {
   areAnyPixelsBlack,
   getImageDataTransparency,
 } from 'common/util/arrayBuffer';
+import { GenerationMode } from '../store/canvasTypes';
 
 export const getCanvasGenerationMode = (
   baseImageData: ImageData,
   maskImageData: ImageData
-) => {
+): GenerationMode => {
   const {
     isPartiallyTransparent: baseIsPartiallyTransparent,
     isFullyTransparent: baseIsFullyTransparent,
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx
new file mode 100644
index 0000000000..5c6bbd0ba3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx
@@ -0,0 +1,55 @@
+import { Box } from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { generationModeChanged } from 'features/canvas/store/canvasSlice';
+import { getCanvasData } from 'features/canvas/util/getCanvasData';
+import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode';
+import { useDebounce } from 'react-use';
+
+const GENERATION_MODE_NAME_MAP = {
+  txt2img: 'Text to Image',
+  img2img: 'Image to Image',
+  inpaint: 'Inpaint',
+  outpaint: 'Inpaint',
+};
+
+export const useGenerationMode = () => {
+  const dispatch = useAppDispatch();
+  const canvasState = useAppSelector((state) => state.canvas);
+
+  useDebounce(
+    async () => {
+      // Build canvas blobs
+      const canvasBlobsAndImageData = await getCanvasData(canvasState);
+
+      if (!canvasBlobsAndImageData) {
+        return;
+      }
+
+      const { baseImageData, maskImageData } = canvasBlobsAndImageData;
+
+      // Determine the generation mode
+      const generationMode = getCanvasGenerationMode(
+        baseImageData,
+        maskImageData
+      );
+
+      dispatch(generationModeChanged(generationMode));
+    },
+    1000,
+    [dispatch, canvasState, generationModeChanged]
+  );
+};
+
+const GenerationModeStatusText = () => {
+  const generationMode = useAppSelector((state) => state.canvas.generationMode);
+
+  useGenerationMode();
+
+  return (
+    <Box>
+      Mode: {generationMode ? GENERATION_MODE_NAME_MAP[generationMode] : '...'}
+    </Box>
+  );
+};
+
+export default GenerationModeStatusText;

From 07a90c019800ce485c88dabe421f3896ebf38f72 Mon Sep 17 00:00:00 2001
From: Alexandre Macabies <web+oss@zopieux.com>
Date: Sun, 23 Jul 2023 14:49:28 +0200
Subject: [PATCH 03/58] Fix incorrect use of a singleton list.

This was found through pylance type errors. Go types!
---
 invokeai/app/api/routers/models.py                | 2 +-
 invokeai/app/services/model_manager_service.py    | 2 +-
 invokeai/backend/model_management/model_search.py | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index 870ca33534..759f6c9f59 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -298,7 +298,7 @@ async def search_for_models(
 )->List[pathlib.Path]:
     if not search_path.is_dir():
         raise HTTPException(status_code=404, detail=f"The search path '{search_path}' does not exist or is not directory")
-    return ApiDependencies.invoker.services.model_manager.search_for_models([search_path])
+    return ApiDependencies.invoker.services.model_manager.search_for_models(search_path)
 
 @models_router.get(
     "/ckpt_confs",
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index b1b995309e..f7d3b3a7a7 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -600,7 +600,7 @@ class ModelManagerService(ModelManagerServiceBase):
         """
         Return list of all models found in the designated directory.
         """
-        search = FindModels(directory,self.logger)
+        search = FindModels([directory], self.logger)
         return search.list_models()
 
     def sync_to_config(self):
diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py
index 1e282b4bb8..5657bd9549 100644
--- a/invokeai/backend/model_management/model_search.py
+++ b/invokeai/backend/model_management/model_search.py
@@ -98,6 +98,6 @@ class FindModels(ModelSearch):
 
     def list_models(self) -> List[Path]:
         self.search()
-        return self.models_found
+        return list(self.models_found)
 
     

From 0beec08d3822b398f855ab11ee5064ed5b479bce Mon Sep 17 00:00:00 2001
From: Alexandre Macabies <web+oss@zopieux.com>
Date: Sun, 23 Jul 2023 14:46:16 +0200
Subject: [PATCH 04/58] Add missing import.

---
 invokeai/backend/model_management/models/lora.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 5387ade0e5..eb771841ec 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -10,6 +10,7 @@ from .base import (
     SubModelType,
     classproperty,
     InvalidModelException,
+    ModelNotFoundException,
 )
 # TODO: naming
 from ..lora import LoRAModel as LoRAModelRaw

From d5a75eb83301f89a2240f2ca4a9719d04ef574b5 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 24 Jul 2023 16:34:34 +1000
Subject: [PATCH 05/58] feat: increase seed from int32 to uint32

At some point I typo'd this and set the max seed to signed int32 max. It should be *un*signed int32 max.

This restored the seed range to what it was in v2.3.
---
 invokeai/app/util/misc.py                  | 2 +-
 invokeai/frontend/web/src/app/constants.ts | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index 7c674674e2..be5b698258 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -14,7 +14,7 @@ def get_datetime_from_iso_timestamp(iso_timestamp: str) -> datetime.datetime:
     return datetime.datetime.fromisoformat(iso_timestamp)
 
 
-SEED_MAX = np.iinfo(np.int32).max
+SEED_MAX = np.iinfo(np.uint32).max
 
 
 def get_random_seed():
diff --git a/invokeai/frontend/web/src/app/constants.ts b/invokeai/frontend/web/src/app/constants.ts
index 1194ea467b..b8fab16c1c 100644
--- a/invokeai/frontend/web/src/app/constants.ts
+++ b/invokeai/frontend/web/src/app/constants.ts
@@ -1,2 +1,2 @@
 export const NUMPY_RAND_MIN = 0;
-export const NUMPY_RAND_MAX = 2147483647;
+export const NUMPY_RAND_MAX = 4294967295;

From 66cdeba8a1e8ba78f255ea3ca3269c9331a889cf Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 24 Jul 2023 16:44:32 +1000
Subject: [PATCH 06/58] fix(nodes): fix seed modulus operation

This was incorect and resulted in the max seed being one less than intended.
---
 invokeai/app/invocations/noise.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index 442557520a..fff0f29f14 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -119,8 +119,8 @@ class NoiseInvocation(BaseInvocation):
 
     @validator("seed", pre=True)
     def modulo_seed(cls, v):
-        """Returns the seed modulo SEED_MAX to ensure it is within the valid range."""
-        return v % SEED_MAX
+        """Returns the seed modulo (SEED_MAX + 1) to ensure it is within the valid range."""
+        return v % (SEED_MAX + 1)
 
     def invoke(self, context: InvocationContext) -> NoiseOutput:
         noise = get_noise(

From 0cf7a10c5ccd413b001fb360ff7b0fcb6e961883 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 24 Jul 2023 18:58:24 +1200
Subject: [PATCH 07/58] fix: Other lora missing type

---
 invokeai/backend/model_management/lora.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index b0481f3cfa..222169afbb 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -474,7 +474,7 @@ class ModelPatcher:
 
     @staticmethod
     def _lora_forward_hook(
-        applied_loras: List[Tuple[LoraModel, float]],
+        applied_loras: List[Tuple[LoRAModel, float]],
         layer_name: str,
     ):
 
@@ -519,7 +519,7 @@ class ModelPatcher:
     def apply_lora(
         cls,
         model: torch.nn.Module,
-        loras: List[Tuple[LoraModel, float]],
+        loras: List[Tuple[LoRAModel, float]],
         prefix: str,
     ):
         original_weights = dict()

From e766ddbcf45b2eca1436fe8b51294e91769a4405 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 24 Jul 2023 19:38:21 +1200
Subject: [PATCH 08/58] fix: Generate random seed using the generator instead
 of RandomState

---
 invokeai/app/util/misc.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index be5b698258..503f3af4c8 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -18,4 +18,5 @@ SEED_MAX = np.iinfo(np.uint32).max
 
 
 def get_random_seed():
-    return np.random.randint(0, SEED_MAX)
+    rng = np.random.default_rng(seed=0)
+    return int(rng.integers(0, SEED_MAX))

From 61fa960a18e2715c6b7cc4d730f500ad25545395 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 24 Jul 2023 18:16:15 +1000
Subject: [PATCH 09/58] feat(ui): make generation mode calculation more
 granular

---
 .../listeners/userInvokedCanvas.ts            | 16 ++++-
 .../canvas/hooks/useCanvasGenerationMode.ts   | 72 +++++++++++++++++++
 .../src/features/canvas/store/canvasSlice.ts  |  5 --
 .../src/features/canvas/util/getCanvasData.ts | 25 ++++---
 .../Canvas/GenerationModeStatusText.tsx       | 38 +---------
 5 files changed, 103 insertions(+), 53 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/canvas/hooks/useCanvasGenerationMode.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
index 17b2eeed46..39bd742d7d 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
@@ -39,8 +39,22 @@ export const addUserInvokedCanvasListener = () => {
 
       const state = getState();
 
+      const {
+        layerState,
+        boundingBoxCoordinates,
+        boundingBoxDimensions,
+        isMaskEnabled,
+        shouldPreserveMaskedArea,
+      } = state.canvas;
+
       // Build canvas blobs
-      const canvasBlobsAndImageData = await getCanvasData(state.canvas);
+      const canvasBlobsAndImageData = await getCanvasData(
+        layerState,
+        boundingBoxCoordinates,
+        boundingBoxDimensions,
+        isMaskEnabled,
+        shouldPreserveMaskedArea
+      );
 
       if (!canvasBlobsAndImageData) {
         log.error('Unable to create canvas data');
diff --git a/invokeai/frontend/web/src/features/canvas/hooks/useCanvasGenerationMode.ts b/invokeai/frontend/web/src/features/canvas/hooks/useCanvasGenerationMode.ts
new file mode 100644
index 0000000000..55b04efca4
--- /dev/null
+++ b/invokeai/frontend/web/src/features/canvas/hooks/useCanvasGenerationMode.ts
@@ -0,0 +1,72 @@
+import { useAppSelector } from 'app/store/storeHooks';
+import { GenerationMode } from 'features/canvas/store/canvasTypes';
+import { getCanvasData } from 'features/canvas/util/getCanvasData';
+import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode';
+import { useEffect, useState } from 'react';
+import { useDebounce } from 'react-use';
+
+export const useCanvasGenerationMode = () => {
+  const layerState = useAppSelector((state) => state.canvas.layerState);
+
+  const boundingBoxCoordinates = useAppSelector(
+    (state) => state.canvas.boundingBoxCoordinates
+  );
+  const boundingBoxDimensions = useAppSelector(
+    (state) => state.canvas.boundingBoxDimensions
+  );
+  const isMaskEnabled = useAppSelector((state) => state.canvas.isMaskEnabled);
+
+  const shouldPreserveMaskedArea = useAppSelector(
+    (state) => state.canvas.shouldPreserveMaskedArea
+  );
+  const [generationMode, setGenerationMode] = useState<
+    GenerationMode | undefined
+  >();
+
+  useEffect(() => {
+    setGenerationMode(undefined);
+  }, [
+    layerState,
+    boundingBoxCoordinates,
+    boundingBoxDimensions,
+    isMaskEnabled,
+    shouldPreserveMaskedArea,
+  ]);
+
+  useDebounce(
+    async () => {
+      // Build canvas blobs
+      const canvasBlobsAndImageData = await getCanvasData(
+        layerState,
+        boundingBoxCoordinates,
+        boundingBoxDimensions,
+        isMaskEnabled,
+        shouldPreserveMaskedArea
+      );
+
+      if (!canvasBlobsAndImageData) {
+        return;
+      }
+
+      const { baseImageData, maskImageData } = canvasBlobsAndImageData;
+
+      // Determine the generation mode
+      const generationMode = getCanvasGenerationMode(
+        baseImageData,
+        maskImageData
+      );
+
+      setGenerationMode(generationMode);
+    },
+    1000,
+    [
+      layerState,
+      boundingBoxCoordinates,
+      boundingBoxDimensions,
+      isMaskEnabled,
+      shouldPreserveMaskedArea,
+    ]
+  );
+
+  return generationMode;
+};
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index dc91c1c769..3163e513e9 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -30,7 +30,6 @@ import {
   CanvasState,
   CanvasTool,
   Dimensions,
-  GenerationMode,
   isCanvasAnyLine,
   isCanvasBaseImage,
   isCanvasMaskLine,
@@ -859,9 +858,6 @@ export const canvasSlice = createSlice({
       state.isMovingBoundingBox = false;
       state.isTransformingBoundingBox = false;
     },
-    generationModeChanged: (state, action: PayloadAction<GenerationMode>) => {
-      state.generationMode = action.payload;
-    },
   },
   extraReducers: (builder) => {
     builder.addCase(sessionCanceled.pending, (state) => {
@@ -959,7 +955,6 @@ export const {
   stagingAreaInitialized,
   canvasSessionIdChanged,
   setShouldAntialias,
-  generationModeChanged,
 } = canvasSlice.actions;
 
 export default canvasSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts b/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
index 855420f78a..4e575791ed 100644
--- a/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
+++ b/invokeai/frontend/web/src/features/canvas/util/getCanvasData.ts
@@ -1,5 +1,10 @@
 import { logger } from 'app/logging/logger';
-import { CanvasState, isCanvasMaskLine } from '../store/canvasTypes';
+import { Vector2d } from 'konva/lib/types';
+import {
+  CanvasLayerState,
+  Dimensions,
+  isCanvasMaskLine,
+} from '../store/canvasTypes';
 import createMaskStage from './createMaskStage';
 import { getCanvasBaseLayer, getCanvasStage } from './konvaInstanceProvider';
 import { konvaNodeToBlob } from './konvaNodeToBlob';
@@ -8,7 +13,13 @@ import { konvaNodeToImageData } from './konvaNodeToImageData';
 /**
  * Gets Blob and ImageData objects for the base and mask layers
  */
-export const getCanvasData = async (canvasState: CanvasState) => {
+export const getCanvasData = async (
+  layerState: CanvasLayerState,
+  boundingBoxCoordinates: Vector2d,
+  boundingBoxDimensions: Dimensions,
+  isMaskEnabled: boolean,
+  shouldPreserveMaskedArea: boolean
+) => {
   const log = logger('canvas');
 
   const canvasBaseLayer = getCanvasBaseLayer();
@@ -19,14 +30,6 @@ export const getCanvasData = async (canvasState: CanvasState) => {
     return;
   }
 
-  const {
-    layerState: { objects },
-    boundingBoxCoordinates,
-    boundingBoxDimensions,
-    isMaskEnabled,
-    shouldPreserveMaskedArea,
-  } = canvasState;
-
   const boundingBox = {
     ...boundingBoxCoordinates,
     ...boundingBoxDimensions,
@@ -57,7 +60,7 @@ export const getCanvasData = async (canvasState: CanvasState) => {
 
   // For the mask layer, use the normal boundingBox
   const maskStage = await createMaskStage(
-    isMaskEnabled ? objects.filter(isCanvasMaskLine) : [], // only include mask lines, and only if mask is enabled
+    isMaskEnabled ? layerState.objects.filter(isCanvasMaskLine) : [], // only include mask lines, and only if mask is enabled
     boundingBox,
     shouldPreserveMaskedArea
   );
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx
index 5c6bbd0ba3..511e90f0f3 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/GenerationModeStatusText.tsx
@@ -1,9 +1,5 @@
 import { Box } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { generationModeChanged } from 'features/canvas/store/canvasSlice';
-import { getCanvasData } from 'features/canvas/util/getCanvasData';
-import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode';
-import { useDebounce } from 'react-use';
+import { useCanvasGenerationMode } from 'features/canvas/hooks/useCanvasGenerationMode';
 
 const GENERATION_MODE_NAME_MAP = {
   txt2img: 'Text to Image',
@@ -12,38 +8,8 @@ const GENERATION_MODE_NAME_MAP = {
   outpaint: 'Inpaint',
 };
 
-export const useGenerationMode = () => {
-  const dispatch = useAppDispatch();
-  const canvasState = useAppSelector((state) => state.canvas);
-
-  useDebounce(
-    async () => {
-      // Build canvas blobs
-      const canvasBlobsAndImageData = await getCanvasData(canvasState);
-
-      if (!canvasBlobsAndImageData) {
-        return;
-      }
-
-      const { baseImageData, maskImageData } = canvasBlobsAndImageData;
-
-      // Determine the generation mode
-      const generationMode = getCanvasGenerationMode(
-        baseImageData,
-        maskImageData
-      );
-
-      dispatch(generationModeChanged(generationMode));
-    },
-    1000,
-    [dispatch, canvasState, generationModeChanged]
-  );
-};
-
 const GenerationModeStatusText = () => {
-  const generationMode = useAppSelector((state) => state.canvas.generationMode);
-
-  useGenerationMode();
+  const generationMode = useCanvasGenerationMode();
 
   return (
     <Box>

From 97f4475fdfd59952be3095ce88a3cc2859840e48 Mon Sep 17 00:00:00 2001
From: Millun Atluri <Millu@users.noreply.github.com>
Date: Mon, 24 Jul 2023 20:50:33 +1000
Subject: [PATCH 10/58] Update close-inactive-issues.yml

---
 .github/workflows/close-inactive-issues.yml | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/close-inactive-issues.yml b/.github/workflows/close-inactive-issues.yml
index 58ec78c0b8..4f45f156b0 100644
--- a/.github/workflows/close-inactive-issues.yml
+++ b/.github/workflows/close-inactive-issues.yml
@@ -1,11 +1,11 @@
 name: Close inactive issues
 on:
   schedule:
-    - cron: "00 6 * * *"
+    - cron: "00 4 * * *"
 
 env:
-  DAYS_BEFORE_ISSUE_STALE: 14
-  DAYS_BEFORE_ISSUE_CLOSE: 28
+  DAYS_BEFORE_ISSUE_STALE: 30
+  DAYS_BEFORE_ISSUE_CLOSE: 14
 
 jobs:
   close-issues:
@@ -23,5 +23,6 @@ jobs:
           close-issue-message: "Due to inactivity, this issue was automatically closed. If you are still experiencing the issue, please recreate the issue."
           days-before-pr-stale: -1
           days-before-pr-close: -1
+          exempt-issue-labels: "Active Issue"
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           operations-per-run: 500

From aea8ad5670a78bf81b2eb82437579538c91cdc2b Mon Sep 17 00:00:00 2001
From: Millun Atluri <Millu@users.noreply.github.com>
Date: Mon, 24 Jul 2023 20:52:34 +1000
Subject: [PATCH 11/58] Update close-inactive-issues.yml with latest stale
 version

---
 .github/workflows/close-inactive-issues.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/close-inactive-issues.yml b/.github/workflows/close-inactive-issues.yml
index 4f45f156b0..b1e5d2b0b4 100644
--- a/.github/workflows/close-inactive-issues.yml
+++ b/.github/workflows/close-inactive-issues.yml
@@ -14,7 +14,7 @@ jobs:
       issues: write
       pull-requests: write
     steps:
-      - uses: actions/stale@v5
+      - uses: actions/stale@v4.1.1
         with:
           days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
           days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}

From 437532f2f9a3208a4b43d486cb00e204d0e3d4d2 Mon Sep 17 00:00:00 2001
From: Josh Corbett <joshwcorbett@icloud.com>
Date: Mon, 24 Jul 2023 17:42:01 -0600
Subject: [PATCH 12/58] fix: :pencil2: fix docs generation typo and remove
 trailing white space

---
 mkdocs.yml | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/mkdocs.yml b/mkdocs.yml
index 7d3e0e0b85..cbcaf52af6 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -101,7 +101,7 @@ plugins:
 
 nav:
     - Home: 'index.md'
-    - Installation: 
+    - Installation:
       - Overview: 'installation/index.md'
       - Installing with the Automated Installer: 'installation/010_INSTALL_AUTOMATED.md'
       - Installing manually: 'installation/020_INSTALL_MANUAL.md'
@@ -122,14 +122,14 @@ nav:
     - Community Nodes:
       - Community Nodes: 'nodes/communityNodes.md'
       - Overview: 'nodes/overview.md'
-    - Features: 
+    - Features:
       - Overview: 'features/index.md'
       - Concepts: 'features/CONCEPTS.md'
       - Configuration: 'features/CONFIGURATION.md'
       - ControlNet: 'features/CONTROLNET.md'
       - Image-to-Image: 'features/IMG2IMG.md'
       - Controlling Logging: 'features/LOGGING.md'
-      - Model Mergeing: 'features/MODEL_MERGING.md'
+      - Model Merging: 'features/MODEL_MERGING.md'
       - Nodes Editor (Experimental): 'features/NODES.md'
       - NSFW Checker: 'features/NSFW.md'
       - Postprocessing: 'features/POSTPROCESS.md'
@@ -140,9 +140,9 @@ nav:
       - InvokeAI Web Server: 'features/WEB.md'
       - WebUI Hotkeys: "features/WEBUIHOTKEYS.md"
       - Other: 'features/OTHER.md'
-    - Contributing: 
+    - Contributing:
       - How to Contribute: 'contributing/CONTRIBUTING.md'
-      - Development: 
+      - Development:
         - Overview: 'contributing/contribution_guides/development.md'
         - InvokeAI Architecture: 'contributing/ARCHITECTURE.md'
         - Frontend Documentation: 'contributing/contribution_guides/development_guides/contributingToFrontend.md'
@@ -161,5 +161,3 @@ nav:
     - Other:
       - Contributors: 'other/CONTRIBUTORS.md'
       - CompViz-README: 'other/README-CompViz.md'
-
-

From cf10852ee307bfd66b74e1b6fb59a54fddaca5aa Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Tue, 25 Jul 2023 11:23:00 +1000
Subject: [PATCH 13/58] uses v8 actions/stale@v8

---
 .github/workflows/close-inactive-issues.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/close-inactive-issues.yml b/.github/workflows/close-inactive-issues.yml
index b1e5d2b0b4..9636911b2e 100644
--- a/.github/workflows/close-inactive-issues.yml
+++ b/.github/workflows/close-inactive-issues.yml
@@ -14,7 +14,7 @@ jobs:
       issues: write
       pull-requests: write
     steps:
-      - uses: actions/stale@v4.1.1
+      - uses: actions/stale@v8
         with:
           days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
           days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}

From 7f5a89f567b79bbdb313872a2c0525f158d55751 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 25 Jul 2023 14:48:12 -0400
Subject: [PATCH 14/58] add option to disable model syncing in UI

---
 invokeai/frontend/web/src/app/types/invokeai.ts        |  3 ++-
 .../components/fields/ModelInputFieldComponent.tsx     | 10 +++++++---
 .../Parameters/MainModel/ParamMainModelSelect.tsx      | 10 +++++++---
 3 files changed, 16 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index be642a6435..b38790e0c9 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -95,7 +95,8 @@ export type AppFeature =
   | 'localization'
   | 'consoleLogging'
   | 'dynamicPrompting'
-  | 'batches';
+  | 'batches'
+  | 'syncModels';
 
 /**
  * A disable-able Stable Diffusion feature
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
index b578298149..625ce0d5ca 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
@@ -16,6 +16,7 @@ import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { FieldComponentProps } from './types';
+import { useFeatureStatus } from '../../../system/hooks/useFeatureStatus';
 
 const ModelInputFieldComponent = (
   props: FieldComponentProps<MainModelInputFieldValue, ModelInputFieldTemplate>
@@ -24,6 +25,7 @@ const ModelInputFieldComponent = (
 
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
+  const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
   const { data: mainModels, isLoading } = useGetMainModelsQuery();
 
@@ -103,9 +105,11 @@ const ModelInputFieldComponent = (
         disabled={data.length === 0}
         onChange={handleChangeModel}
       />
-      <Box mt={7}>
-        <SyncModelsButton iconMode />
-      </Box>
+      {isSyncModelEnabled && (
+        <Box mt={7}>
+          <SyncModelsButton iconMode />
+        </Box>
+      )}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 75f1bc8bd9..a98d100467 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -15,6 +15,7 @@ import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainM
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
+import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 
 const selector = createSelector(
   stateSelector,
@@ -29,6 +30,7 @@ const ParamMainModelSelect = () => {
   const { model } = useAppSelector(selector);
 
   const { data: mainModels, isLoading } = useGetMainModelsQuery();
+  const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
   const data = useMemo(() => {
     if (!mainModels) {
@@ -98,9 +100,11 @@ const ParamMainModelSelect = () => {
         onChange={handleChangeModel}
         w="100%"
       />
-      <Box mt={7}>
-        <SyncModelsButton iconMode />
-      </Box>
+      {isSyncModelEnabled && (
+        <Box mt={7}>
+          <SyncModelsButton iconMode />
+        </Box>
+      )}
     </Flex>
   );
 };

From f4da66aa0fbb38e09a45b831142f7d14f45e1070 Mon Sep 17 00:00:00 2001
From: ymgenesis <janik.matthew@gmail.com>
Date: Tue, 25 Jul 2023 00:19:54 +0200
Subject: [PATCH 15/58] Update NODES.md

---
 docs/features/NODES.md | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/docs/features/NODES.md b/docs/features/NODES.md
index 1f276d2012..15378ee760 100644
--- a/docs/features/NODES.md
+++ b/docs/features/NODES.md
@@ -116,49 +116,49 @@ There are several node grouping concepts that can be examined with a narrow focu
 
 As described, an initial noise tensor is necessary for the latent diffusion process. As a result, all non-image *ToLatents nodes require a noise node input.  
 
-<img width="654" alt="groupsnoise" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/2e8d297e-ad55-4d27-bc93-c119dad2a2c5">
+<img width="654" alt="groupsnoise" src="https://i.imgur.com/QywzADu.webp?maxwidth=760&fidelity=grand">
 
 ### Conditioning
 
 As described, conditioning is necessary for the latent diffusion process, whether empty or not. As a result, all non-image *ToLatents nodes require positive and negative conditioning inputs. Conditioning is reliant on a CLIP tokenizer provided by the Model Loader node.
 
-<img width="1024" alt="groupsconditioning" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/f8f7ad8a-8d9c-418e-b5ad-1437b774b27e">
+<img width="1024" alt="groupsconditioning" src="https://i.imgur.com/Tiyy3zR.webp?maxwidth=1520&fidelity=grand">
 
 ### Image Space & VAE
 
 The ImageToLatents node doesn't require a noise node input, but requires a VAE input to convert the image from image space into latent space. In reverse, the LatentsToImage node requires a VAE input to convert from latent space back into image space.
 
-<img width="637" alt="groupsimgvae" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/dd99969c-e0a8-4f78-9b17-3ffe179cef9a">
+<img width="637" alt="groupsimgvae" src="https://i.imgur.com/dc0eAIg.webp?maxwidth=760&fidelity=grand">
 
 ### Defined & Random Seeds
 
 It is common to want to use both the same seed (for continuity) and random seeds (for variance). To define a seed, simply enter it into the 'Seed' field on a noise node. Conversely, the RandomInt node generates a random integer between 'Low' and 'High', and can be used as input to the 'Seed' edge point on a noise node to randomize your seed.
 
-<img width="922" alt="groupsrandseed" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/af55bc20-60f6-438e-aba5-3ec871443710">
+<img width="922" alt="groupsrandseed" src="https://i.imgur.com/gSaKeMV.webp?maxwidth=1520&fidelity=grand">
 
 ### Control
 
 Control means to guide the diffusion process to adhere to a defined input or structure. Control can be provided as input to non-image *ToLatents nodes from ControlNet nodes. ControlNet nodes usually require an image processor which converts an input image for use with ControlNet.
 
-<img width="805" alt="groupscontrol" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/cc9c5de7-23a7-46c8-bbad-1f3609d999a6">
+<img width="805" alt="groupscontrol" src="https://i.imgur.com/x1TAAXw.webp?maxwidth=1520&fidelity=grand">
 
 ### LoRA
 
 The Lora Loader node lets you load a LoRA (say that ten times fast) and pass it as output to both the Prompt (Compel) and non-image *ToLatents nodes. A model's CLIP tokenizer is passed through the LoRA into Prompt (Compel), where it affects conditioning. A model's U-Net is also passed through the LoRA into a non-image *ToLatents node, where it affects noise prediction.
 
-<img width="993" alt="groupslora" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/630962b0-d914-4505-b3ea-ccae9b0269da">
+<img width="993" alt="groupslora" src="https://i.imgur.com/Kr9lNgE.webp?maxwidth=1520&fidelity=grand">
 
 ### Scaling
 
 Use the ImageScale, ScaleLatents, and Upscale nodes to upscale images and/or latent images. The chosen method differs across contexts. However, be aware that latents are already noisy and compressed at their original resolution; scaling an image could produce more detailed results.
 
-<img width="644" alt="groupsallscale" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/99314f05-dd9f-4b6d-b378-31de55346a13">
+<img width="644" alt="groupsallscale" src="https://i.imgur.com/IEYtgzk.webp?maxwidth=760&fidelity=grand">
 
 ### Iteration + Multiple Images as Input
 
 Iteration is a common concept in any processing, and means to repeat a process with given input. In nodes, you're able to use the Iterate node to iterate through collections usually gathered by the Collect node. The Iterate node has many potential uses, from processing a collection of images one after another, to varying seeds across multiple image generations and more. This screenshot demonstrates how to collect several images and pass them out one at a time.
 
-<img width="788" alt="groupsiterate" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/4af5ca27-82c9-4018-8c5b-024d3ee0a121">
+<img width="788" alt="groupsiterate" src="https://i.imgur.com/Mr5nCT9.webp?maxwidth=1520&fidelity=grand">
 
 ### Multiple Image Generation + Random Seeds
 
@@ -166,7 +166,7 @@ Multiple image generation in the node editor is done using the RandomRange node.
 
 To control seeds across generations takes some care. The first row in the screenshot will generate multiple images with different seeds, but using the same RandomRange parameters across invocations will result in the same group of random seeds being used across the images, producing repeatable results. In the second row, adding the RandomInt node as input to RandomRange's 'Seed' edge point will ensure that seeds are varied across all images across invocations, producing varied results.
 
-<img width="1027" alt="groupsmultigenseeding" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/518d1b2b-fed1-416b-a052-ab06552521b3">
+<img width="1027" alt="groupsmultigenseeding" src="https://i.imgur.com/8Isihyc.webp?maxwidth=1520&fidelity=grand">
 
 ## Examples
 
@@ -174,7 +174,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic text-to-image Node Graph
 
-<img width="875" alt="nodest2i" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/17c67720-c376-4db8-94f0-5e00381a61ee">
+<img width="875" alt="nodest2i" src="https://i.imgur.com/GSU0xF9.webp?maxwidth=1520&fidelity=grand">
 
 - Model Loader: A necessity to generating images (as we’ve read above). We choose our model from the dropdown. It outputs a U-Net, CLIP tokenizer, and VAE.
 - Prompt (Compel): Another necessity. Two prompt nodes are created. One will output positive conditioning (what you want, ‘dog’), one will output negative (what you don’t want, ‘cat’). They both input the CLIP tokenizer that the Model Loader node outputs.
@@ -184,7 +184,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic image-to-image Node Graph
 
-<img width="998" alt="nodesi2i" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/3f2c95d5-cee7-4415-9b79-b46ee60a92fe">
+<img width="998" alt="nodesi2i" src="https://i.imgur.com/7woyOEQ.webp?maxwidth=1520&fidelity=grand">
 
 - Model Loader: Choose a model from the dropdown.
 - Prompt (Compel): Two prompt nodes. One positive (dog), one negative (dog). Same CLIP inputs from the Model Loader node as before.
@@ -195,7 +195,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic ControlNet Node Graph
 
-<img width="703" alt="nodescontrol" src="https://github.com/ymgenesis/InvokeAI/assets/25252829/b02ded86-ceb4-44a2-9910-e19ad184d471">
+<img width="703" alt="nodescontrol" src="https://i.imgur.com/fXcb2nR.webp?maxwidth=760&fidelity=grand">
 
 - Model Loader
 - Prompt (Compel)

From a4c8d86faa79c4f63256f36e04d066181cbd397e Mon Sep 17 00:00:00 2001
From: ymgenesis <janik.matthew@gmail.com>
Date: Tue, 25 Jul 2023 23:42:20 +0200
Subject: [PATCH 16/58] add NODES.md image assets to docs/assets/nodes/

---
 docs/assets/nodes/groupsallscale.png        | Bin 0 -> 501370 bytes
 docs/assets/nodes/groupsconditioning.png    | Bin 0 -> 343205 bytes
 docs/assets/nodes/groupscontrol.png         | Bin 0 -> 221808 bytes
 docs/assets/nodes/groupsimgvae.png          | Bin 0 -> 249926 bytes
 docs/assets/nodes/groupsiterate.png         | Bin 0 -> 970576 bytes
 docs/assets/nodes/groupslora.png            | Bin 0 -> 299169 bytes
 docs/assets/nodes/groupsmultigenseeding.png | Bin 0 -> 429593 bytes
 docs/assets/nodes/groupsnoise.png           | Bin 0 -> 183121 bytes
 docs/assets/nodes/groupsrandseed.png        | Bin 0 -> 221251 bytes
 docs/assets/nodes/nodescontrol.png          | Bin 0 -> 449385 bytes
 docs/assets/nodes/nodesi2i.png              | Bin 0 -> 576407 bytes
 docs/assets/nodes/nodest2i.png              | Bin 0 -> 361909 bytes
 12 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 docs/assets/nodes/groupsallscale.png
 create mode 100644 docs/assets/nodes/groupsconditioning.png
 create mode 100644 docs/assets/nodes/groupscontrol.png
 create mode 100644 docs/assets/nodes/groupsimgvae.png
 create mode 100644 docs/assets/nodes/groupsiterate.png
 create mode 100644 docs/assets/nodes/groupslora.png
 create mode 100644 docs/assets/nodes/groupsmultigenseeding.png
 create mode 100644 docs/assets/nodes/groupsnoise.png
 create mode 100644 docs/assets/nodes/groupsrandseed.png
 create mode 100644 docs/assets/nodes/nodescontrol.png
 create mode 100644 docs/assets/nodes/nodesi2i.png
 create mode 100644 docs/assets/nodes/nodest2i.png

diff --git a/docs/assets/nodes/groupsallscale.png b/docs/assets/nodes/groupsallscale.png
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From d5998ad3ef08d6fa0f5c3944d801ac24f023f2f4 Mon Sep 17 00:00:00 2001
From: ymgenesis <janik.matthew@gmail.com>
Date: Tue, 25 Jul 2023 23:43:45 +0200
Subject: [PATCH 17/58] update images to link from docs/assets/nodes/

---
 docs/features/NODES.md | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/docs/features/NODES.md b/docs/features/NODES.md
index 15378ee760..94663d9f1d 100644
--- a/docs/features/NODES.md
+++ b/docs/features/NODES.md
@@ -116,49 +116,49 @@ There are several node grouping concepts that can be examined with a narrow focu
 
 As described, an initial noise tensor is necessary for the latent diffusion process. As a result, all non-image *ToLatents nodes require a noise node input.  
 
-<img width="654" alt="groupsnoise" src="https://i.imgur.com/QywzADu.webp?maxwidth=760&fidelity=grand">
+![groupsnoise](../assets/nodes/groupsnoise.png)
 
 ### Conditioning
 
 As described, conditioning is necessary for the latent diffusion process, whether empty or not. As a result, all non-image *ToLatents nodes require positive and negative conditioning inputs. Conditioning is reliant on a CLIP tokenizer provided by the Model Loader node.
 
-<img width="1024" alt="groupsconditioning" src="https://i.imgur.com/Tiyy3zR.webp?maxwidth=1520&fidelity=grand">
+![groupsconditioning](../assets/nodes/groupsconditioning.png)
 
 ### Image Space & VAE
 
 The ImageToLatents node doesn't require a noise node input, but requires a VAE input to convert the image from image space into latent space. In reverse, the LatentsToImage node requires a VAE input to convert from latent space back into image space.
 
-<img width="637" alt="groupsimgvae" src="https://i.imgur.com/dc0eAIg.webp?maxwidth=760&fidelity=grand">
+![groupsimgvae](../assets/nodes/groupsimgvae.png)
 
 ### Defined & Random Seeds
 
 It is common to want to use both the same seed (for continuity) and random seeds (for variance). To define a seed, simply enter it into the 'Seed' field on a noise node. Conversely, the RandomInt node generates a random integer between 'Low' and 'High', and can be used as input to the 'Seed' edge point on a noise node to randomize your seed.
 
-<img width="922" alt="groupsrandseed" src="https://i.imgur.com/gSaKeMV.webp?maxwidth=1520&fidelity=grand">
+![groupsrandseed](../assets/nodes/groupsrandseed.png)
 
 ### Control
 
 Control means to guide the diffusion process to adhere to a defined input or structure. Control can be provided as input to non-image *ToLatents nodes from ControlNet nodes. ControlNet nodes usually require an image processor which converts an input image for use with ControlNet.
 
-<img width="805" alt="groupscontrol" src="https://i.imgur.com/x1TAAXw.webp?maxwidth=1520&fidelity=grand">
+![groupscontrol](../assets/nodes/groupscontrol.png)
 
 ### LoRA
 
 The Lora Loader node lets you load a LoRA (say that ten times fast) and pass it as output to both the Prompt (Compel) and non-image *ToLatents nodes. A model's CLIP tokenizer is passed through the LoRA into Prompt (Compel), where it affects conditioning. A model's U-Net is also passed through the LoRA into a non-image *ToLatents node, where it affects noise prediction.
 
-<img width="993" alt="groupslora" src="https://i.imgur.com/Kr9lNgE.webp?maxwidth=1520&fidelity=grand">
+![groupslora](../assets/nodes/groupslora.png)
 
 ### Scaling
 
 Use the ImageScale, ScaleLatents, and Upscale nodes to upscale images and/or latent images. The chosen method differs across contexts. However, be aware that latents are already noisy and compressed at their original resolution; scaling an image could produce more detailed results.
 
-<img width="644" alt="groupsallscale" src="https://i.imgur.com/IEYtgzk.webp?maxwidth=760&fidelity=grand">
+![groupsallscale](../assets/nodes/groupsallscale.png)
 
 ### Iteration + Multiple Images as Input
 
 Iteration is a common concept in any processing, and means to repeat a process with given input. In nodes, you're able to use the Iterate node to iterate through collections usually gathered by the Collect node. The Iterate node has many potential uses, from processing a collection of images one after another, to varying seeds across multiple image generations and more. This screenshot demonstrates how to collect several images and pass them out one at a time.
 
-<img width="788" alt="groupsiterate" src="https://i.imgur.com/Mr5nCT9.webp?maxwidth=1520&fidelity=grand">
+![groupsiterate](../assets/nodes/groupsiterate.png)
 
 ### Multiple Image Generation + Random Seeds
 
@@ -166,7 +166,7 @@ Multiple image generation in the node editor is done using the RandomRange node.
 
 To control seeds across generations takes some care. The first row in the screenshot will generate multiple images with different seeds, but using the same RandomRange parameters across invocations will result in the same group of random seeds being used across the images, producing repeatable results. In the second row, adding the RandomInt node as input to RandomRange's 'Seed' edge point will ensure that seeds are varied across all images across invocations, producing varied results.
 
-<img width="1027" alt="groupsmultigenseeding" src="https://i.imgur.com/8Isihyc.webp?maxwidth=1520&fidelity=grand">
+![groupsmultigenseeding](../assets/nodes/groupsmultigenseeding.png)
 
 ## Examples
 
@@ -174,7 +174,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic text-to-image Node Graph
 
-<img width="875" alt="nodest2i" src="https://i.imgur.com/GSU0xF9.webp?maxwidth=1520&fidelity=grand">
+![nodest2i](../assets/nodes/nodest2i.png)
 
 - Model Loader: A necessity to generating images (as we’ve read above). We choose our model from the dropdown. It outputs a U-Net, CLIP tokenizer, and VAE.
 - Prompt (Compel): Another necessity. Two prompt nodes are created. One will output positive conditioning (what you want, ‘dog’), one will output negative (what you don’t want, ‘cat’). They both input the CLIP tokenizer that the Model Loader node outputs.
@@ -184,7 +184,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic image-to-image Node Graph
 
-<img width="998" alt="nodesi2i" src="https://i.imgur.com/7woyOEQ.webp?maxwidth=1520&fidelity=grand">
+![nodesi2i](../assets/nodes/nodesi2i.png)
 
 - Model Loader: Choose a model from the dropdown.
 - Prompt (Compel): Two prompt nodes. One positive (dog), one negative (dog). Same CLIP inputs from the Model Loader node as before.
@@ -195,7 +195,7 @@ With our knowledge of node grouping and the diffusion process, let’s break dow
 
 ### Basic ControlNet Node Graph
 
-<img width="703" alt="nodescontrol" src="https://i.imgur.com/fXcb2nR.webp?maxwidth=760&fidelity=grand">
+![nodescontrol](../assets/nodes/nodescontrol.png)
 
 - Model Loader
 - Prompt (Compel)

From 57d833035d93b71c77826c8512e8406d4adebdc2 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 15:15:57 +1200
Subject: [PATCH 18/58] feat: Add SDXL Base To Linear Text To Image

---
 .../listeners/userInvokedTextToImage.ts       |  10 +-
 .../buildLinearSDXLImageToImageGraph.ts       | 380 ++++++++++++++++++
 .../buildLinearSDXLTextToImageGraph.ts        | 231 +++++++++++
 .../nodes/util/graphBuilders/constants.ts     |   3 +
 .../MainModel/ParamMainModelSelect.tsx        |   2 +-
 5 files changed, 624 insertions(+), 2 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
index a9e9fe1ad8..f1cdabcabd 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts
@@ -2,6 +2,7 @@ import { logger } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import { parseify } from 'common/util/serialize';
 import { textToImageGraphBuilt } from 'features/nodes/store/actions';
+import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph';
 import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph';
 import { sessionReadyToInvoke } from 'features/system/store/actions';
 import { sessionCreated } from 'services/api/thunks/session';
@@ -14,8 +15,15 @@ export const addUserInvokedTextToImageListener = () => {
     effect: async (action, { getState, dispatch, take }) => {
       const log = logger('session');
       const state = getState();
+      const model = state.generation.model;
 
-      const graph = buildLinearTextToImageGraph(state);
+      let graph;
+
+      if (model && model.base_model === 'sdxl') {
+        graph = buildLinearSDXLTextToImageGraph(state);
+      } else {
+        graph = buildLinearTextToImageGraph(state);
+      }
 
       dispatch(textToImageGraphBuilt(graph));
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
new file mode 100644
index 0000000000..2dd9242fa5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -0,0 +1,380 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import {
+  ImageResizeInvocation,
+  ImageToLatentsInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import {
+  CLIP_SKIP,
+  IMAGE_TO_IMAGE_GRAPH,
+  IMAGE_TO_LATENTS,
+  LATENTS_TO_IMAGE,
+  LATENTS_TO_LATENTS,
+  MAIN_MODEL_LOADER,
+  METADATA_ACCUMULATOR,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  RESIZE,
+} from './constants';
+
+/**
+ * Builds the Image to Image tab graph.
+ */
+export const buildLinearSDXLImageToImageGraph = (
+  state: RootState
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    initialImage,
+    img2imgStrength: strength,
+    shouldFitToWidthHeight,
+    width,
+    height,
+    clipSkip,
+    shouldUseCpuNoise,
+    shouldUseNoiseSettings,
+  } = state.generation;
+
+  // TODO: add batch functionality
+  // const {
+  //   isEnabled: isBatchEnabled,
+  //   imageNames: batchImageNames,
+  //   asInitialImage,
+  // } = state.batch;
+
+  // const shouldBatch =
+  //   isBatchEnabled && batchImageNames.length > 0 && asInitialImage;
+
+  /**
+   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+   * full graph here as a template. Then use the parameters from app state and set friendlier node
+   * ids.
+   *
+   * The only thing we need extra logic for is handling randomized seed, control net, and for img2img,
+   * the `fit` param. These are added to the graph at the end.
+   */
+
+  if (!initialImage) {
+    log.error('No initial image found in state');
+    throw new Error('No initial image found in state');
+  }
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : initialGenerationState.shouldUseCpuNoise;
+
+  // copy-pasted graph from node editor, filled in with state values & friendly node ids
+  const graph: NonNullableGraph = {
+    id: IMAGE_TO_IMAGE_GRAPH,
+    nodes: {
+      [MAIN_MODEL_LOADER]: {
+        type: 'main_model_loader',
+        id: MAIN_MODEL_LOADER,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        skipped_layers: clipSkip,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'compel',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'compel',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        use_cpu,
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+      },
+      [LATENTS_TO_LATENTS]: {
+        type: 'l2l',
+        id: LATENTS_TO_LATENTS,
+        cfg_scale,
+        scheduler,
+        steps,
+        strength,
+      },
+      [IMAGE_TO_LATENTS]: {
+        type: 'i2l',
+        id: IMAGE_TO_LATENTS,
+        // must be set manually later, bc `fit` parameter may require a resize node inserted
+        // image: {
+        //   image_name: initialImage.image_name,
+        // },
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: LATENTS_TO_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+    ],
+  };
+
+  // handle `fit`
+  if (
+    shouldFitToWidthHeight &&
+    (initialImage.width !== width || initialImage.height !== height)
+  ) {
+    // The init image needs to be resized to the specified width and height before being passed to `IMAGE_TO_LATENTS`
+
+    // Create a resize node, explicitly setting its image
+    const resizeNode: ImageResizeInvocation = {
+      id: RESIZE,
+      type: 'img_resize',
+      image: {
+        image_name: initialImage.imageName,
+      },
+      is_intermediate: true,
+      width,
+      height,
+    };
+
+    graph.nodes[RESIZE] = resizeNode;
+
+    // The `RESIZE` node then passes its image to `IMAGE_TO_LATENTS`
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'image' },
+      destination: {
+        node_id: IMAGE_TO_LATENTS,
+        field: 'image',
+      },
+    });
+
+    // The `RESIZE` node also passes its width and height to `NOISE`
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'width' },
+      destination: {
+        node_id: NOISE,
+        field: 'width',
+      },
+    });
+
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'height' },
+      destination: {
+        node_id: NOISE,
+        field: 'height',
+      },
+    });
+  } else {
+    // We are not resizing, so we need to set the image on the `IMAGE_TO_LATENTS` node explicitly
+    (graph.nodes[IMAGE_TO_LATENTS] as ImageToLatentsInvocation).image = {
+      image_name: initialImage.imageName,
+    };
+
+    // Pass the image's dimensions to the `NOISE` node
+    graph.edges.push({
+      source: { node_id: IMAGE_TO_LATENTS, field: 'width' },
+      destination: {
+        node_id: NOISE,
+        field: 'width',
+      },
+    });
+    graph.edges.push({
+      source: { node_id: IMAGE_TO_LATENTS, field: 'height' },
+      destination: {
+        node_id: NOISE,
+        field: 'height',
+      },
+    });
+  }
+
+  // TODO: add batch functionality
+  // if (isBatchEnabled && asInitialImage && batchImageNames.length > 0) {
+  //   // we are going to connect an iterate up to the init image
+  //   delete (graph.nodes[IMAGE_TO_LATENTS] as ImageToLatentsInvocation).image;
+
+  //   const imageCollection: ImageCollectionInvocation = {
+  //     id: IMAGE_COLLECTION,
+  //     type: 'image_collection',
+  //     images: batchImageNames.map((image_name) => ({ image_name })),
+  //   };
+
+  //   const imageCollectionIterate: IterateInvocation = {
+  //     id: IMAGE_COLLECTION_ITERATE,
+  //     type: 'iterate',
+  //   };
+
+  //   graph.nodes[IMAGE_COLLECTION] = imageCollection;
+  //   graph.nodes[IMAGE_COLLECTION_ITERATE] = imageCollectionIterate;
+
+  //   graph.edges.push({
+  //     source: { node_id: IMAGE_COLLECTION, field: 'collection' },
+  //     destination: {
+  //       node_id: IMAGE_COLLECTION_ITERATE,
+  //       field: 'collection',
+  //     },
+  //   });
+
+  //   graph.edges.push({
+  //     source: { node_id: IMAGE_COLLECTION_ITERATE, field: 'item' },
+  //     destination: {
+  //       node_id: IMAGE_TO_LATENTS,
+  //       field: 'image',
+  //     },
+  //   });
+  // }
+
+  // add metadata accumulator, which is only mostly populated - some fields are added later
+  graph.nodes[METADATA_ACCUMULATOR] = {
+    id: METADATA_ACCUMULATOR,
+    type: 'metadata_accumulator',
+    generation_mode: 'img2img',
+    cfg_scale,
+    height,
+    width,
+    positive_prompt: '', // set in addDynamicPromptsToGraph
+    negative_prompt: negativePrompt,
+    model,
+    seed: 0, // set in addDynamicPromptsToGraph
+    steps,
+    rand_device: use_cpu ? 'cpu' : 'cuda',
+    scheduler,
+    vae: undefined, // option; set in addVAEToGraph
+    controlnets: [], // populated in addControlNetToLinearGraph
+    loras: [], // populated in addLoRAsToGraph
+    clip_skip: clipSkip,
+    strength,
+    init_image: initialImage.imageName,
+  };
+
+  graph.edges.push({
+    source: {
+      node_id: METADATA_ACCUMULATOR,
+      field: 'metadata',
+    },
+    destination: {
+      node_id: LATENTS_TO_IMAGE,
+      field: 'metadata',
+    },
+  });
+
+  // add LoRA support
+  addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
+
+  // optionally add custom VAE
+  addVAEToGraph(state, graph);
+
+  // add dynamic prompts - also sets up core iteration and seed
+  addDynamicPromptsToGraph(state, graph);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
new file mode 100644
index 0000000000..32f0dbe5ca
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -0,0 +1,231 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import {
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  SDXL_MODEL_LOADER,
+  SDXL_TEXT_TO_IMAGE_GRAPH,
+  SDXL_TEXT_TO_LATENTS,
+} from './constants';
+
+export const buildLinearSDXLTextToImageGraph = (
+  state: RootState
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    width,
+    height,
+    clipSkip,
+    shouldUseCpuNoise,
+    shouldUseNoiseSettings,
+  } = state.generation;
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : initialGenerationState.shouldUseCpuNoise;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  /**
+   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+   * full graph here as a template. Then use the parameters from app state and set friendlier node
+   * ids.
+   *
+   * The only thing we need extra logic for is handling randomized seed, control net, and for img2img,
+   * the `fit` param. These are added to the graph at the end.
+   */
+
+  // copy-pasted graph from node editor, filled in with state values & friendly node ids
+  const graph: NonNullableGraph = {
+    id: SDXL_TEXT_TO_IMAGE_GRAPH,
+    nodes: {
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        width,
+        height,
+        use_cpu,
+      },
+      [SDXL_TEXT_TO_LATENTS]: {
+        type: 't2l_sdxl',
+        id: SDXL_TEXT_TO_LATENTS,
+        cfg_scale,
+        scheduler,
+        steps,
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: SDXL_TEXT_TO_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'vae',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'vae',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SDXL_TEXT_TO_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SDXL_TEXT_TO_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: SDXL_TEXT_TO_LATENTS,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_TEXT_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+    ],
+  };
+
+  // add metadata accumulator, which is only mostly populated - some fields are added later
+  graph.nodes[METADATA_ACCUMULATOR] = {
+    id: METADATA_ACCUMULATOR,
+    type: 'metadata_accumulator',
+    generation_mode: 'sdxl_txt2img',
+    cfg_scale,
+    height,
+    width,
+    positive_prompt: '', // set in addDynamicPromptsToGraph
+    negative_prompt: negativePrompt,
+    model,
+    seed: 0, // set in addDynamicPromptsToGraph
+    steps,
+    rand_device: use_cpu ? 'cpu' : 'cuda',
+    scheduler,
+    vae: undefined,
+    controlnets: [],
+    loras: [],
+    clip_skip: clipSkip,
+  };
+
+  graph.edges.push({
+    source: {
+      node_id: METADATA_ACCUMULATOR,
+      field: 'metadata',
+    },
+    destination: {
+      node_id: LATENTS_TO_IMAGE,
+      field: 'metadata',
+    },
+  });
+
+  // add dynamic prompts - also sets up core iteration and seed
+  addDynamicPromptsToGraph(state, graph);
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index e01fcf2c70..bc4c592f5f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -23,8 +23,11 @@ export const METADATA_ACCUMULATOR = 'metadata_accumulator';
 export const REALESRGAN = 'esrgan';
 export const DIVIDE = 'divide';
 export const SCALE = 'scale_image';
+export const SDXL_MODEL_LOADER = 'sdxl_model_loader';
+export const SDXL_TEXT_TO_LATENTS = 't2l_sdxl';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
+export const SDXL_TEXT_TO_IMAGE_GRAPH = 'sdxl_text_to_image_graph';
 export const IMAGE_TO_IMAGE_GRAPH = 'image_to_image_graph';
 export const INPAINT_GRAPH = 'inpaint_graph';
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index a98d100467..4c3b40738d 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -40,7 +40,7 @@ const ParamMainModelSelect = () => {
     const data: SelectItem[] = [];
 
     forEach(mainModels.entities, (model, id) => {
-      if (!model || ['sdxl', 'sdxl-refiner'].includes(model.base_model)) {
+      if (!model || ['sdxl-refiner'].includes(model.base_model)) {
         return;
       }
 

From 9c180da58a37d3d72d3ecbddb9688be64730f4eb Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 15:36:31 +1200
Subject: [PATCH 19/58] feat: Add SDXL Image To Image to Linear UI

---
 .../listeners/userInvokedImageToImage.ts      |  11 +-
 .../buildLinearSDXLImageToImageGraph.ts       | 122 ++++++++++--------
 .../nodes/util/graphBuilders/constants.ts     |   2 +
 3 files changed, 79 insertions(+), 56 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
index 8101530eea..b0172e693b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts
@@ -3,6 +3,7 @@ import { userInvoked } from 'app/store/actions';
 import { parseify } from 'common/util/serialize';
 import { imageToImageGraphBuilt } from 'features/nodes/store/actions';
 import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph';
+import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph';
 import { sessionReadyToInvoke } from 'features/system/store/actions';
 import { sessionCreated } from 'services/api/thunks/session';
 import { startAppListening } from '..';
@@ -14,8 +15,16 @@ export const addUserInvokedImageToImageListener = () => {
     effect: async (action, { getState, dispatch, take }) => {
       const log = logger('session');
       const state = getState();
+      const model = state.generation.model;
+
+      let graph;
+
+      if (model && model.base_model === 'sdxl') {
+        graph = buildLinearSDXLImageToImageGraph(state);
+      } else {
+        graph = buildLinearImageToImageGraph(state);
+      }
 
-      const graph = buildLinearImageToImageGraph(state);
       dispatch(imageToImageGraphBuilt(graph));
       log.debug({ graph: parseify(graph) }, 'Image to Image graph built');
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 2dd9242fa5..b8625603ce 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -6,22 +6,18 @@ import {
   ImageResizeInvocation,
   ImageToLatentsInvocation,
 } from 'services/api/types';
-import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
-import { addLoRAsToGraph } from './addLoRAsToGraph';
-import { addVAEToGraph } from './addVAEToGraph';
 import {
-  CLIP_SKIP,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
-  LATENTS_TO_LATENTS,
-  MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  SDXL_LATENTS_TO_LATENTS,
+  SDXL_MODEL_LOADER,
 } from './constants';
 
 /**
@@ -85,23 +81,18 @@ export const buildLinearSDXLImageToImageGraph = (
   const graph: NonNullableGraph = {
     id: IMAGE_TO_IMAGE_GRAPH,
     nodes: {
-      [MAIN_MODEL_LOADER]: {
-        type: 'main_model_loader',
-        id: MAIN_MODEL_LOADER,
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
         model,
       },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        skipped_layers: clipSkip,
-      },
       [POSITIVE_CONDITIONING]: {
-        type: 'compel',
+        type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
-        type: 'compel',
+        type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
       },
@@ -114,13 +105,13 @@ export const buildLinearSDXLImageToImageGraph = (
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
       },
-      [LATENTS_TO_LATENTS]: {
-        type: 'l2l',
-        id: LATENTS_TO_LATENTS,
+      [SDXL_LATENTS_TO_LATENTS]: {
+        type: 'l2l_sdxl',
+        id: SDXL_LATENTS_TO_LATENTS,
         cfg_scale,
         scheduler,
         steps,
-        strength,
+        denoising_start: 1 - strength,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -134,27 +125,37 @@ export const buildLinearSDXLImageToImageGraph = (
     edges: [
       {
         source: {
-          node_id: MAIN_MODEL_LOADER,
+          node_id: SDXL_MODEL_LOADER,
           field: 'unet',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: SDXL_LATENTS_TO_LATENTS,
           field: 'unet',
         },
       },
       {
         source: {
-          node_id: MAIN_MODEL_LOADER,
-          field: 'clip',
+          node_id: SDXL_MODEL_LOADER,
+          field: 'vae',
         },
         destination: {
-          node_id: CLIP_SKIP,
-          field: 'clip',
+          node_id: LATENTS_TO_IMAGE,
+          field: 'vae',
         },
       },
       {
         source: {
-          node_id: CLIP_SKIP,
+          node_id: SDXL_MODEL_LOADER,
+          field: 'vae',
+        },
+        destination: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'vae',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
           field: 'clip',
         },
         destination: {
@@ -164,7 +165,17 @@ export const buildLinearSDXLImageToImageGraph = (
       },
       {
         source: {
-          node_id: CLIP_SKIP,
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
           field: 'clip',
         },
         destination: {
@@ -174,7 +185,17 @@ export const buildLinearSDXLImageToImageGraph = (
       },
       {
         source: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_LATENTS_TO_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -188,7 +209,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: SDXL_LATENTS_TO_LATENTS,
           field: 'latents',
         },
       },
@@ -198,30 +219,30 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: SDXL_LATENTS_TO_LATENTS,
           field: 'noise',
         },
       },
-      {
-        source: {
-          node_id: NEGATIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: LATENTS_TO_LATENTS,
-          field: 'negative_conditioning',
-        },
-      },
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
           field: 'conditioning',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: SDXL_LATENTS_TO_LATENTS,
           field: 'positive_conditioning',
         },
       },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SDXL_LATENTS_TO_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
     ],
   };
 
@@ -334,7 +355,7 @@ export const buildLinearSDXLImageToImageGraph = (
   graph.nodes[METADATA_ACCUMULATOR] = {
     id: METADATA_ACCUMULATOR,
     type: 'metadata_accumulator',
-    generation_mode: 'img2img',
+    generation_mode: 'sdxl_img2img',
     cfg_scale,
     height,
     width,
@@ -345,9 +366,9 @@ export const buildLinearSDXLImageToImageGraph = (
     steps,
     rand_device: use_cpu ? 'cpu' : 'cuda',
     scheduler,
-    vae: undefined, // option; set in addVAEToGraph
-    controlnets: [], // populated in addControlNetToLinearGraph
-    loras: [], // populated in addLoRAsToGraph
+    vae: undefined,
+    controlnets: [],
+    loras: [],
     clip_skip: clipSkip,
     strength,
     init_image: initialImage.imageName,
@@ -364,17 +385,8 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
-  // add LoRA support
-  addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
-
-  // optionally add custom VAE
-  addVAEToGraph(state, graph);
-
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
-  // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
-
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index bc4c592f5f..bd5af2a416 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -25,9 +25,11 @@ export const DIVIDE = 'divide';
 export const SCALE = 'scale_image';
 export const SDXL_MODEL_LOADER = 'sdxl_model_loader';
 export const SDXL_TEXT_TO_LATENTS = 't2l_sdxl';
+export const SDXL_LATENTS_TO_LATENTS = 'l2l_sdxl';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
 export const SDXL_TEXT_TO_IMAGE_GRAPH = 'sdxl_text_to_image_graph';
+export const SDXL_IMAGE_TO_IMAGE_GRAPH = 'sxdl_image_to_image_graph';
 export const IMAGE_TO_IMAGE_GRAPH = 'image_to_image_graph';
 export const INPAINT_GRAPH = 'inpaint_graph';

From 9f94d0e52a5bf08151db12b3645b5ca93bbc91e6 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 18:16:58 +1200
Subject: [PATCH 20/58] feat: Create SDXL Slice

---
 invokeai/frontend/web/src/app/store/store.ts  |  3 ++
 .../parameters/types/parameterSchemas.ts      | 36 ++++++++++++++++
 .../web/src/features/sdxl/store/sdxlSlice.ts  | 41 +++++++++++++++++++
 3 files changed, 80 insertions(+)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts

diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index dd80e1e378..d71a147913 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -15,6 +15,7 @@ import loraReducer from 'features/lora/store/loraSlice';
 import nodesReducer from 'features/nodes/store/nodesSlice';
 import generationReducer from 'features/parameters/store/generationSlice';
 import postprocessingReducer from 'features/parameters/store/postprocessingSlice';
+import sdxlReducer from 'features/sdxl/store/sdxlSlice';
 import configReducer from 'features/system/store/configSlice';
 import systemReducer from 'features/system/store/systemSlice';
 import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice';
@@ -47,6 +48,7 @@ const allReducers = {
   imageDeletion: imageDeletionReducer,
   lora: loraReducer,
   modelmanager: modelmanagerReducer,
+  sdxl: sdxlReducer,
   [api.reducerPath]: api.reducer,
 };
 
@@ -58,6 +60,7 @@ const rememberedKeys: (keyof typeof allReducers)[] = [
   'canvas',
   'gallery',
   'generation',
+  'sdxl',
   'nodes',
   'postprocessing',
   'system',
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index cea5fb9987..bae683d7fb 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -42,6 +42,42 @@ export const isValidNegativePrompt = (
   val: unknown
 ): val is NegativePromptParam => zNegativePrompt.safeParse(val).success;
 
+/**
+ * Zod schema for SDXL positive style prompt parameter
+ */
+export const zPositiveStylePromptSDXL = z.string();
+/**
+ * Type alias for SDXL positive style prompt parameter, inferred from its zod schema
+ */
+export type PositiveStylePromptSDXLParam = z.infer<
+  typeof zPositiveStylePromptSDXL
+>;
+/**
+ * Validates/type-guards a value as a SDXL positive style prompt parameter
+ */
+export const isValidSDXLPositiveStylePrompt = (
+  val: unknown
+): val is PositiveStylePromptSDXLParam =>
+  zPositiveStylePromptSDXL.safeParse(val).success;
+
+/**
+ * Zod schema for SDXL negative style prompt parameter
+ */
+export const zNegativeStylePromptSDXL = z.string();
+/**
+ * Type alias for SDXL negative style prompt parameter, inferred from its zod schema
+ */
+export type NegativeStylePromptSDXLParam = z.infer<
+  typeof zNegativeStylePromptSDXL
+>;
+/**
+ * Validates/type-guards a value as a SDXL negative style prompt parameter
+ */
+export const isValidSDXLNegativeStylePrompt = (
+  val: unknown
+): val is NegativeStylePromptSDXLParam =>
+  zNegativeStylePromptSDXL.safeParse(val).success;
+
 /**
  * Zod schema for steps parameter
  */
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
new file mode 100644
index 0000000000..95a0ac0de8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -0,0 +1,41 @@
+import { PayloadAction, createSlice } from '@reduxjs/toolkit';
+import {
+  NegativeStylePromptSDXLParam,
+  PositiveStylePromptSDXLParam,
+} from 'features/parameters/types/parameterSchemas';
+
+type SDXLInitialState = {
+  shouldUseSDXLRefiner: boolean;
+  positiveStylePrompt: PositiveStylePromptSDXLParam;
+  negativeStylePrompt: NegativeStylePromptSDXLParam;
+};
+
+const sdxlInitialState: SDXLInitialState = {
+  shouldUseSDXLRefiner: false,
+  positiveStylePrompt: '',
+  negativeStylePrompt: '',
+};
+
+const sdxlSlice = createSlice({
+  name: 'sdxl',
+  initialState: sdxlInitialState,
+  reducers: {
+    setPositiveStylePromptSDXL: (state, action: PayloadAction<string>) => {
+      state.positiveStylePrompt = action.payload;
+    },
+    setNegativeStylePromptSDXL: (state, action: PayloadAction<string>) => {
+      state.negativeStylePrompt = action.payload;
+    },
+    setShouldUseSDXLRefiner: (state, action: PayloadAction<boolean>) => {
+      state.shouldUseSDXLRefiner = action.payload;
+    },
+  },
+});
+
+export const {
+  setPositiveStylePromptSDXL,
+  setNegativeStylePromptSDXL,
+  setShouldUseSDXLRefiner,
+} = sdxlSlice.actions;
+
+export default sdxlSlice.reducer;

From b0ebd148fa300fceb743b887a99cc22c034f6386 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 18:17:30 +1200
Subject: [PATCH 21/58] feat: Add Style Prompts to Linear UI

---
 .../buildLinearSDXLImageToImageGraph.ts       |   4 +
 .../buildLinearSDXLTextToImageGraph.ts        |   4 +
 .../graphBuilders/buildSDXLRefinerGraph.ts    |  32 ++++
 .../nodes/util/graphBuilders/constants.ts     |   1 +
 .../ParamSDXLNegativeStyleConditioning.tsx    | 149 ++++++++++++++++++
 .../ParamSDXLPositiveStyleConditioning.tsx    | 148 +++++++++++++++++
 .../SDXLImageToImageTabParameters.tsx         |  26 +++
 .../SDXLTextToImageTabParameters.tsx          |  25 +++
 .../tabs/ImageToImage/ImageToImageTab.tsx     |  11 +-
 .../tabs/TextToImage/TextToImageTab.tsx       |  10 +-
 10 files changed, 407 insertions(+), 3 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index b8625603ce..baf46d482c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -44,6 +44,8 @@ export const buildLinearSDXLImageToImageGraph = (
     shouldUseNoiseSettings,
   } = state.generation;
 
+  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+
   // TODO: add batch functionality
   // const {
   //   isEnabled: isBatchEnabled,
@@ -90,11 +92,13 @@ export const buildLinearSDXLImageToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
+        style: positiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
+        style: negativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 32f0dbe5ca..3ff7736fa5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -32,6 +32,8 @@ export const buildLinearSDXLTextToImageGraph = (
     shouldUseNoiseSettings,
   } = state.generation;
 
+  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
@@ -63,11 +65,13 @@ export const buildLinearSDXLTextToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
+        style: positiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
+        style: negativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
new file mode 100644
index 0000000000..b33675f44d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
@@ -0,0 +1,32 @@
+import { RootState } from 'app/store/store';
+import { MetadataAccumulatorInvocation } from 'services/api/types';
+import { NonNullableGraph } from '../../types/types';
+import { METADATA_ACCUMULATOR, SDXL_TEXT_TO_LATENTS } from './constants';
+
+export const addSDXLRefinerToGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  baseNodeId: string
+): void => {
+  const { shouldUseSDXLRefiner, model } = state.generation;
+
+  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+    | MetadataAccumulatorInvocation
+    | undefined;
+
+  if (!shouldUseSDXLRefiner) return;
+
+  // Unplug SDXL Text To Latents To Latents To Image
+  graph.edges = graph.edges.filter(
+    (e) =>
+      !(
+        e.source.node_id === SDXL_TEXT_TO_LATENTS &&
+        ['latents'].includes(e.source.field)
+      )
+  );
+
+  //   graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
+  //     id: SDXL_REFINER_MODEL_LOADER,
+  //     type: 'sdxl_refiner_model_loader',
+  //   };
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index bd5af2a416..f98c3197fa 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -26,6 +26,7 @@ export const SCALE = 'scale_image';
 export const SDXL_MODEL_LOADER = 'sdxl_model_loader';
 export const SDXL_TEXT_TO_LATENTS = 't2l_sdxl';
 export const SDXL_LATENTS_TO_LATENTS = 'l2l_sdxl';
+export const SDXL_REFINER_MODEL_LOADER = 'sdxl_refiner_model_loader';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
new file mode 100644
index 0000000000..e2d5c5b8e4
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx
@@ -0,0 +1,149 @@
+import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { ChangeEvent, KeyboardEvent, useCallback, useRef } from 'react';
+
+import { createSelector } from '@reduxjs/toolkit';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+
+import { userInvoked } from 'app/store/actions';
+import IAITextarea from 'common/components/IAITextarea';
+import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
+import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
+import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import { isEqual } from 'lodash-es';
+import { flushSync } from 'react-dom';
+import { setNegativeStylePromptSDXL } from '../store/sdxlSlice';
+
+const promptInputSelector = createSelector(
+  [stateSelector, activeTabNameSelector],
+  ({ sdxl }, activeTabName) => {
+    return {
+      prompt: sdxl.negativeStylePrompt,
+      activeTabName,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
+    },
+  }
+);
+
+/**
+ * Prompt input text area.
+ */
+const ParamSDXLNegativeStyleConditioning = () => {
+  const dispatch = useAppDispatch();
+  const { prompt, activeTabName } = useAppSelector(promptInputSelector);
+  const isReady = useIsReadyToInvoke();
+  const promptRef = useRef<HTMLTextAreaElement>(null);
+  const { isOpen, onClose, onOpen } = useDisclosure();
+
+  const handleChangePrompt = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(setNegativeStylePromptSDXL(e.target.value));
+    },
+    [dispatch]
+  );
+
+  const handleSelectEmbedding = useCallback(
+    (v: string) => {
+      if (!promptRef.current) {
+        return;
+      }
+
+      // this is where we insert the TI trigger
+      const caret = promptRef.current.selectionStart;
+
+      if (caret === undefined) {
+        return;
+      }
+
+      let newPrompt = prompt.slice(0, caret);
+
+      if (newPrompt[newPrompt.length - 1] !== '<') {
+        newPrompt += '<';
+      }
+
+      newPrompt += `${v}>`;
+
+      // we insert the cursor after the `>`
+      const finalCaretPos = newPrompt.length;
+
+      newPrompt += prompt.slice(caret);
+
+      // must flush dom updates else selection gets reset
+      flushSync(() => {
+        dispatch(setNegativeStylePromptSDXL(newPrompt));
+      });
+
+      // set the caret position to just after the TI trigger
+      promptRef.current.selectionStart = finalCaretPos;
+      promptRef.current.selectionEnd = finalCaretPos;
+      onClose();
+    },
+    [dispatch, onClose, prompt]
+  );
+
+  const isEmbeddingEnabled = useFeatureStatus('embedding').isFeatureEnabled;
+
+  const handleKeyDown = useCallback(
+    (e: KeyboardEvent<HTMLTextAreaElement>) => {
+      if (e.key === 'Enter' && e.shiftKey === false && isReady) {
+        e.preventDefault();
+        dispatch(clampSymmetrySteps());
+        dispatch(userInvoked(activeTabName));
+      }
+      if (isEmbeddingEnabled && e.key === '<') {
+        onOpen();
+      }
+    },
+    [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled]
+  );
+
+  // const handleSelect = (e: MouseEvent<HTMLTextAreaElement>) => {
+  //   const target = e.target as HTMLTextAreaElement;
+  // setCaret({ start: target.selectionStart, end: target.selectionEnd });
+  // };
+
+  return (
+    <Box position="relative">
+      <FormControl>
+        <ParamEmbeddingPopover
+          isOpen={isOpen}
+          onClose={onClose}
+          onSelect={handleSelectEmbedding}
+        >
+          <IAITextarea
+            id="prompt"
+            name="prompt"
+            ref={promptRef}
+            value={prompt}
+            placeholder="Negative Style Prompt"
+            onChange={handleChangePrompt}
+            onKeyDown={handleKeyDown}
+            resize="vertical"
+            fontSize="sm"
+            minH={16}
+          />
+        </ParamEmbeddingPopover>
+      </FormControl>
+      {!isOpen && isEmbeddingEnabled && (
+        <Box
+          sx={{
+            position: 'absolute',
+            top: 0,
+            insetInlineEnd: 0,
+          }}
+        >
+          <AddEmbeddingButton onClick={onOpen} />
+        </Box>
+      )}
+    </Box>
+  );
+};
+
+export default ParamSDXLNegativeStyleConditioning;
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
new file mode 100644
index 0000000000..8512aedd68
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx
@@ -0,0 +1,148 @@
+import { Box, FormControl, useDisclosure } from '@chakra-ui/react';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { ChangeEvent, KeyboardEvent, useCallback, useRef } from 'react';
+
+import { createSelector } from '@reduxjs/toolkit';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+
+import { userInvoked } from 'app/store/actions';
+import IAITextarea from 'common/components/IAITextarea';
+import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
+import AddEmbeddingButton from 'features/embedding/components/AddEmbeddingButton';
+import ParamEmbeddingPopover from 'features/embedding/components/ParamEmbeddingPopover';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import { isEqual } from 'lodash-es';
+import { flushSync } from 'react-dom';
+import { setPositiveStylePromptSDXL } from '../store/sdxlSlice';
+
+const promptInputSelector = createSelector(
+  [stateSelector, activeTabNameSelector],
+  ({ sdxl }, activeTabName) => {
+    return {
+      prompt: sdxl.positiveStylePrompt,
+      activeTabName,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
+    },
+  }
+);
+
+/**
+ * Prompt input text area.
+ */
+const ParamSDXLPositiveStyleConditioning = () => {
+  const dispatch = useAppDispatch();
+  const { prompt, activeTabName } = useAppSelector(promptInputSelector);
+  const isReady = useIsReadyToInvoke();
+  const promptRef = useRef<HTMLTextAreaElement>(null);
+  const { isOpen, onClose, onOpen } = useDisclosure();
+
+  const handleChangePrompt = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(setPositiveStylePromptSDXL(e.target.value));
+    },
+    [dispatch]
+  );
+
+  const handleSelectEmbedding = useCallback(
+    (v: string) => {
+      if (!promptRef.current) {
+        return;
+      }
+
+      // this is where we insert the TI trigger
+      const caret = promptRef.current.selectionStart;
+
+      if (caret === undefined) {
+        return;
+      }
+
+      let newPrompt = prompt.slice(0, caret);
+
+      if (newPrompt[newPrompt.length - 1] !== '<') {
+        newPrompt += '<';
+      }
+
+      newPrompt += `${v}>`;
+
+      // we insert the cursor after the `>`
+      const finalCaretPos = newPrompt.length;
+
+      newPrompt += prompt.slice(caret);
+
+      // must flush dom updates else selection gets reset
+      flushSync(() => {
+        dispatch(setPositiveStylePromptSDXL(newPrompt));
+      });
+
+      // set the caret position to just after the TI trigger
+      promptRef.current.selectionStart = finalCaretPos;
+      promptRef.current.selectionEnd = finalCaretPos;
+      onClose();
+    },
+    [dispatch, onClose, prompt]
+  );
+
+  const isEmbeddingEnabled = useFeatureStatus('embedding').isFeatureEnabled;
+
+  const handleKeyDown = useCallback(
+    (e: KeyboardEvent<HTMLTextAreaElement>) => {
+      if (e.key === 'Enter' && e.shiftKey === false && isReady) {
+        e.preventDefault();
+        dispatch(clampSymmetrySteps());
+        dispatch(userInvoked(activeTabName));
+      }
+      if (isEmbeddingEnabled && e.key === '<') {
+        onOpen();
+      }
+    },
+    [isReady, dispatch, activeTabName, onOpen, isEmbeddingEnabled]
+  );
+
+  // const handleSelect = (e: MouseEvent<HTMLTextAreaElement>) => {
+  //   const target = e.target as HTMLTextAreaElement;
+  // setCaret({ start: target.selectionStart, end: target.selectionEnd });
+  // };
+
+  return (
+    <Box position="relative">
+      <FormControl>
+        <ParamEmbeddingPopover
+          isOpen={isOpen}
+          onClose={onClose}
+          onSelect={handleSelectEmbedding}
+        >
+          <IAITextarea
+            id="prompt"
+            name="prompt"
+            ref={promptRef}
+            value={prompt}
+            placeholder="Positive Style Prompt"
+            onChange={handleChangePrompt}
+            onKeyDown={handleKeyDown}
+            resize="vertical"
+            minH={16}
+          />
+        </ParamEmbeddingPopover>
+      </FormControl>
+      {!isOpen && isEmbeddingEnabled && (
+        <Box
+          sx={{
+            position: 'absolute',
+            top: 0,
+            insetInlineEnd: 0,
+          }}
+        >
+          <AddEmbeddingButton onClick={onOpen} />
+        </Box>
+      )}
+    </Box>
+  );
+};
+
+export default ParamSDXLPositiveStyleConditioning;
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
new file mode 100644
index 0000000000..57e76fc120
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -0,0 +1,26 @@
+import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
+import ParamNegativeConditioning from 'features/parameters/components/Parameters/Core/ParamNegativeConditioning';
+import ParamPositiveConditioning from 'features/parameters/components/Parameters/Core/ParamPositiveConditioning';
+import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
+// import ParamVariationCollapse from 'features/parameters/components/Parameters/Variations/ParamVariationCollapse';
+import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
+import ImageToImageTabCoreParameters from 'features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters';
+import ParamSDXLNegativeStyleConditioning from './ParamSDXLNegativeStyleConditioning';
+import ParamSDXLPositiveStyleConditioning from './ParamSDXLPositiveStyleConditioning';
+
+const SDXLImageToImageTabParameters = () => {
+  return (
+    <>
+      <ParamPositiveConditioning />
+      <ParamSDXLPositiveStyleConditioning />
+      <ParamNegativeConditioning />
+      <ParamSDXLNegativeStyleConditioning />
+      <ProcessButtons />
+      <ImageToImageTabCoreParameters />
+      <ParamDynamicPromptsCollapse />
+      <ParamNoiseCollapse />
+    </>
+  );
+};
+
+export default SDXLImageToImageTabParameters;
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
new file mode 100644
index 0000000000..abebccc3f0
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -0,0 +1,25 @@
+import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
+import ParamNegativeConditioning from 'features/parameters/components/Parameters/Core/ParamNegativeConditioning';
+import ParamPositiveConditioning from 'features/parameters/components/Parameters/Core/ParamPositiveConditioning';
+import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
+import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
+import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
+import ParamSDXLNegativeStyleConditioning from './ParamSDXLNegativeStyleConditioning';
+import ParamSDXLPositiveStyleConditioning from './ParamSDXLPositiveStyleConditioning';
+
+const SDXLTextToImageTabParameters = () => {
+  return (
+    <>
+      <ParamPositiveConditioning />
+      <ParamSDXLPositiveStyleConditioning />
+      <ParamNegativeConditioning />
+      <ParamSDXLNegativeStyleConditioning />
+      <ProcessButtons />
+      <TextToImageTabCoreParameters />
+      <ParamDynamicPromptsCollapse />
+      <ParamNoiseCollapse />
+    </>
+  );
+};
+
+export default SDXLTextToImageTabParameters;
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTab.tsx
index a0ec95d72d..d58630d1b9 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTab.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTab.tsx
@@ -1,7 +1,9 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { useAppDispatch } from 'app/store/storeHooks';
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale';
 import InitialImageDisplay from 'features/parameters/components/Parameters/ImageToImage/InitialImageDisplay';
+import SDXLImageToImageTabParameters from 'features/sdxl/components/SDXLImageToImageTabParameters';
 import { memo, useCallback, useRef } from 'react';
 import {
   ImperativePanelGroupHandle,
@@ -16,6 +18,7 @@ import ImageToImageTabParameters from './ImageToImageTabParameters';
 const ImageToImageTab = () => {
   const dispatch = useAppDispatch();
   const panelGroupRef = useRef<ImperativePanelGroupHandle>(null);
+  const model = useAppSelector((state: RootState) => state.generation.model);
 
   const handleDoubleClickHandle = useCallback(() => {
     if (!panelGroupRef.current) {
@@ -28,7 +31,11 @@ const ImageToImageTab = () => {
   return (
     <Flex sx={{ gap: 4, w: 'full', h: 'full' }}>
       <ParametersPinnedWrapper>
-        <ImageToImageTabParameters />
+        {model && model.base_model === 'sdxl' ? (
+          <SDXLImageToImageTabParameters />
+        ) : (
+          <ImageToImageTabParameters />
+        )}
       </ParametersPinnedWrapper>
       <Box sx={{ w: 'full', h: 'full' }}>
         <PanelGroup
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTab.tsx
index 90141af785..8c3add3d62 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTab.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTab.tsx
@@ -1,14 +1,22 @@
 import { Flex } from '@chakra-ui/react';
+import { RootState } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import TextToImageSDXLTabParameters from 'features/sdxl/components/SDXLTextToImageTabParameters';
 import { memo } from 'react';
 import ParametersPinnedWrapper from '../../ParametersPinnedWrapper';
 import TextToImageTabMain from './TextToImageTabMain';
 import TextToImageTabParameters from './TextToImageTabParameters';
 
 const TextToImageTab = () => {
+  const model = useAppSelector((state: RootState) => state.generation.model);
   return (
     <Flex sx={{ gap: 4, w: 'full', h: 'full' }}>
       <ParametersPinnedWrapper>
-        <TextToImageTabParameters />
+        {model && model.base_model === 'sdxl' ? (
+          <TextToImageSDXLTabParameters />
+        ) : (
+          <TextToImageTabParameters />
+        )}
       </ParametersPinnedWrapper>
       <TextToImageTabMain />
     </Flex>

From 3bdb059eb7083ea3870aeb8bbdfe881bdfdfa12e Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 19:39:48 +1200
Subject: [PATCH 22/58] wip: SDXL Refiner UI Data

---
 .../components/ParamSDXLRefinerCollapse.tsx   |  34 ++++++
 .../SDXLImageToImageTabParameters.tsx         |   2 +
 .../SDXLRefiner/ParamRefinerModelSelect.tsx   | 106 ++++++++++++++++++
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     |  75 +++++++++++++
 .../SDXLRefiner/ParamUseSDXLRefiner.tsx       |  30 +++++
 .../SDXLTextToImageTabParameters.tsx          |   2 +
 .../web/src/features/sdxl/store/sdxlSlice.ts  |  52 ++++++++-
 7 files changed, 299 insertions(+), 2 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx

diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
new file mode 100644
index 0000000000..dcf266c368
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
@@ -0,0 +1,34 @@
+import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAICollapse from 'common/components/IAICollapse';
+import ParamRefinerModelSelect from './SDXLRefiner/ParamRefinerModelSelect';
+import ParamSDXLRefinerSteps from './SDXLRefiner/ParamSDXLRefinerSteps';
+import ParamUseSDXLRefiner from './SDXLRefiner/ParamUseSDXLRefiner';
+
+const selector = createSelector(
+  stateSelector,
+  (state) => {
+    const { shouldUseSDXLRefiner } = state.sdxl;
+    return { activeLabel: shouldUseSDXLRefiner ? 'Enabled' : undefined };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerCollapse = () => {
+  const { activeLabel } = useAppSelector(selector);
+
+  return (
+    <IAICollapse label="Refiner" activeLabel={activeLabel}>
+      <Flex sx={{ gap: 2, flexDir: 'column' }}>
+        <ParamUseSDXLRefiner />
+        <ParamRefinerModelSelect />
+        <ParamSDXLRefinerSteps />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default ParamSDXLRefinerCollapse;
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index 57e76fc120..a92e7a2fd0 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -7,6 +7,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
 import ImageToImageTabCoreParameters from 'features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters';
 import ParamSDXLNegativeStyleConditioning from './ParamSDXLNegativeStyleConditioning';
 import ParamSDXLPositiveStyleConditioning from './ParamSDXLPositiveStyleConditioning';
+import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
 
 const SDXLImageToImageTabParameters = () => {
   return (
@@ -17,6 +18,7 @@ const SDXLImageToImageTabParameters = () => {
       <ParamSDXLNegativeStyleConditioning />
       <ProcessButtons />
       <ImageToImageTabCoreParameters />
+      <ParamSDXLRefinerCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
     </>
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx
new file mode 100644
index 0000000000..4c7c32a069
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx
@@ -0,0 +1,106 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { SelectItem } from '@mantine/core';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
+import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import { forEach } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { useGetMainModelsQuery } from 'services/api/endpoints/models';
+
+const selector = createSelector(
+  stateSelector,
+  (state) => ({ model: state.sdxl.refinerModel }),
+  defaultSelectorOptions
+);
+
+const ParamRefinerModelSelect = () => {
+  const dispatch = useAppDispatch();
+
+  const { model } = useAppSelector(selector);
+
+  const { data: mainModels, isLoading } = useGetMainModelsQuery();
+
+  const data = useMemo(() => {
+    if (!mainModels) {
+      return [];
+    }
+
+    const data: SelectItem[] = [];
+
+    forEach(mainModels.entities, (model, id) => {
+      if (!model) {
+        return;
+      }
+
+      if (['sdxl-refiner'].includes(model.base_model)) {
+        data.push({
+          value: id,
+          label: model.model_name,
+          group: MODEL_TYPE_MAP[model.base_model],
+        });
+      }
+    });
+
+    return data;
+  }, [mainModels]);
+
+  // grab the full model entity from the RTK Query cache
+  // TODO: maybe we should just store the full model entity in state?
+  const selectedModel = useMemo(
+    () =>
+      mainModels?.entities[`${model?.base_model}/main/${model?.model_name}`] ??
+      null,
+    [mainModels?.entities, model]
+  );
+
+  const handleChangeModel = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      const newModel = modelIdToMainModelParam(v);
+
+      if (!newModel) {
+        return;
+      }
+
+      dispatch(refinerModelChanged(newModel));
+    },
+    [dispatch]
+  );
+
+  return isLoading ? (
+    <IAIMantineSearchableSelect
+      label="Refiner Model"
+      placeholder="Loading..."
+      disabled={true}
+      data={[]}
+    />
+  ) : (
+    <Flex w="100%" alignItems="center" gap={2}>
+      <IAIMantineSearchableSelect
+        tooltip={selectedModel?.description}
+        label="Refiner Model"
+        value={selectedModel?.id}
+        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
+        data={data}
+        error={data.length === 0}
+        disabled={data.length === 0}
+        onChange={handleChangeModel}
+        w="100%"
+      />
+      <Box mt={7}>
+        <SyncModelsButton iconMode />
+      </Box>
+    </Flex>
+  );
+};
+
+export default memo(ParamRefinerModelSelect);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
new file mode 100644
index 0000000000..2861f2f847
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -0,0 +1,75 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAINumberInput from 'common/components/IAINumberInput';
+
+import IAISlider from 'common/components/IAISlider';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
+import { setRefinerSteps } from 'features/sdxl/store/sdxlSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl, ui }) => {
+    const { refinerSteps } = sdxl;
+    const { shouldUseSliders } = ui;
+
+    return {
+      refinerSteps,
+
+      shouldUseSliders,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerSteps = () => {
+  const { refinerSteps, shouldUseSliders } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleChange = useCallback(
+    (v: number) => {
+      dispatch(setRefinerSteps(v));
+    },
+    [dispatch]
+  );
+  const handleReset = useCallback(() => {
+    dispatch(setRefinerSteps(20));
+  }, [dispatch]);
+
+  const handleBlur = useCallback(() => {
+    dispatch(clampSymmetrySteps());
+  }, [dispatch]);
+
+  return shouldUseSliders ? (
+    <IAISlider
+      label={t('parameters.steps')}
+      min={1}
+      max={200}
+      step={1}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={refinerSteps}
+      withInput
+      withReset
+      withSliderMarks
+      sliderNumberInputProps={{ max: 999 }}
+    />
+  ) : (
+    <IAINumberInput
+      label={t('parameters.steps')}
+      min={1}
+      max={999}
+      step={1}
+      onChange={handleChange}
+      value={refinerSteps}
+      numberInputFieldProps={{ textAlign: 'center' }}
+      onBlur={handleBlur}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerSteps);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
new file mode 100644
index 0000000000..9da8286910
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
@@ -0,0 +1,30 @@
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISwitch from 'common/components/IAISwitch';
+import { setShouldUseSDXLRefiner } from 'features/sdxl/store/sdxlSlice';
+import { ChangeEvent } from 'react';
+
+export default function ParamUseSDXLRefiner() {
+  const shouldUseSDXLRefiner = useAppSelector(
+    (state: RootState) => state.sdxl.shouldUseSDXLRefiner
+  );
+
+  const isRefinerAvailable = useAppSelector(
+    (state: RootState) => state.sdxl.isRefinerAvailable
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleUseSDXLRefinerChange = (e: ChangeEvent<HTMLInputElement>) => {
+    dispatch(setShouldUseSDXLRefiner(e.target.checked));
+  };
+
+  return (
+    <IAISwitch
+      label="Use Refiner"
+      isChecked={shouldUseSDXLRefiner}
+      onChange={handleUseSDXLRefinerChange}
+      isDisabled={isRefinerAvailable}
+    />
+  );
+}
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
index abebccc3f0..2175fcc9e3 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -6,6 +6,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
 import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
 import ParamSDXLNegativeStyleConditioning from './ParamSDXLNegativeStyleConditioning';
 import ParamSDXLPositiveStyleConditioning from './ParamSDXLPositiveStyleConditioning';
+import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
 
 const SDXLTextToImageTabParameters = () => {
   return (
@@ -16,6 +17,7 @@ const SDXLTextToImageTabParameters = () => {
       <ParamSDXLNegativeStyleConditioning />
       <ProcessButtons />
       <TextToImageTabCoreParameters />
+      <ParamSDXLRefinerCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
     </>
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index 95a0ac0de8..7250425839 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -1,19 +1,36 @@
 import { PayloadAction, createSlice } from '@reduxjs/toolkit';
 import {
+  MainModelParam,
   NegativeStylePromptSDXLParam,
   PositiveStylePromptSDXLParam,
+  SchedulerParam,
 } from 'features/parameters/types/parameterSchemas';
+import { MainModelField } from 'services/api/types';
 
 type SDXLInitialState = {
-  shouldUseSDXLRefiner: boolean;
   positiveStylePrompt: PositiveStylePromptSDXLParam;
   negativeStylePrompt: NegativeStylePromptSDXLParam;
+  isRefinerAvailable: boolean;
+  shouldUseSDXLRefiner: boolean;
+  refinerModel: MainModelField | null;
+  refinerSteps: number;
+  refinerCFGScale: number;
+  refinerScheduler: SchedulerParam;
+  refinerAestheticScore: number;
+  refinerStart: number;
 };
 
 const sdxlInitialState: SDXLInitialState = {
-  shouldUseSDXLRefiner: false,
   positiveStylePrompt: '',
   negativeStylePrompt: '',
+  isRefinerAvailable: false,
+  shouldUseSDXLRefiner: false,
+  refinerModel: null,
+  refinerSteps: 20,
+  refinerCFGScale: 7.5,
+  refinerScheduler: 'euler',
+  refinerAestheticScore: 6,
+  refinerStart: 0.7,
 };
 
 const sdxlSlice = createSlice({
@@ -26,16 +43,47 @@ const sdxlSlice = createSlice({
     setNegativeStylePromptSDXL: (state, action: PayloadAction<string>) => {
       state.negativeStylePrompt = action.payload;
     },
+    setIsRefinerAvailable: (state, action: PayloadAction<boolean>) => {
+      state.isRefinerAvailable = action.payload;
+    },
     setShouldUseSDXLRefiner: (state, action: PayloadAction<boolean>) => {
       state.shouldUseSDXLRefiner = action.payload;
     },
+    refinerModelChanged: (
+      state,
+      action: PayloadAction<MainModelParam | null>
+    ) => {
+      state.refinerModel = action.payload;
+    },
+    setRefinerSteps: (state, action: PayloadAction<number>) => {
+      state.refinerSteps = action.payload;
+    },
+    setRefinerCFGScale: (state, action: PayloadAction<number>) => {
+      state.refinerCFGScale = action.payload;
+    },
+    setRefinerScheduler: (state, action: PayloadAction<SchedulerParam>) => {
+      state.refinerScheduler = action.payload;
+    },
+    setRefinerAestheticScore: (state, action: PayloadAction<number>) => {
+      state.refinerAestheticScore = action.payload;
+    },
+    setRefinerStart: (state, action: PayloadAction<number>) => {
+      state.refinerStart = action.payload;
+    },
   },
 });
 
 export const {
   setPositiveStylePromptSDXL,
   setNegativeStylePromptSDXL,
+  setIsRefinerAvailable,
   setShouldUseSDXLRefiner,
+  refinerModelChanged,
+  setRefinerSteps,
+  setRefinerCFGScale,
+  setRefinerScheduler,
+  setRefinerAestheticScore,
+  setRefinerStart,
 } = sdxlSlice.actions;
 
 export default sdxlSlice.reducer;

From 8d1b8179afac1ca8c27bf1205c9982639ea3bdc7 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 21:59:12 +1200
Subject: [PATCH 23/58] feat: Create UI for SDXL Refiner Options

---
 .../components/ParamSDXLRefinerCollapse.tsx   | 24 +++++--
 .../ParamSDXLRefinerAestheticScore.tsx        | 55 ++++++++++++++
 .../SDXLRefiner/ParamSDXLRefinerCFGScale.tsx  | 71 +++++++++++++++++++
 ...ct.tsx => ParamSDXLRefinerModelSelect.tsx} |  4 +-
 .../SDXLRefiner/ParamSDXLRefinerScheduler.tsx | 63 ++++++++++++++++
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     | 55 ++++++++++++++
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     | 13 +---
 7 files changed, 268 insertions(+), 17 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
 rename invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/{ParamRefinerModelSelect.tsx => ParamSDXLRefinerModelSelect.tsx} (96%)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx

diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
index dcf266c368..37e1718dc6 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
@@ -4,7 +4,11 @@ import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
-import ParamRefinerModelSelect from './SDXLRefiner/ParamRefinerModelSelect';
+import ParamSDXLRefinerAestheticScore from './SDXLRefiner/ParamSDXLRefinerAestheticScore';
+import ParamSDXLRefinerCFGScale from './SDXLRefiner/ParamSDXLRefinerCFGScale';
+import ParamSDXLRefinerModelSelect from './SDXLRefiner/ParamSDXLRefinerModelSelect';
+import ParamSDXLRefinerScheduler from './SDXLRefiner/ParamSDXLRefinerScheduler';
+import ParamSDXLRefinerStart from './SDXLRefiner/ParamSDXLRefinerStart';
 import ParamSDXLRefinerSteps from './SDXLRefiner/ParamSDXLRefinerSteps';
 import ParamUseSDXLRefiner from './SDXLRefiner/ParamUseSDXLRefiner';
 
@@ -12,20 +16,30 @@ const selector = createSelector(
   stateSelector,
   (state) => {
     const { shouldUseSDXLRefiner } = state.sdxl;
-    return { activeLabel: shouldUseSDXLRefiner ? 'Enabled' : undefined };
+    const { shouldUseSliders } = state.ui;
+    return {
+      activeLabel: shouldUseSDXLRefiner ? 'Enabled' : undefined,
+      shouldUseSliders,
+    };
   },
   defaultSelectorOptions
 );
 
 const ParamSDXLRefinerCollapse = () => {
-  const { activeLabel } = useAppSelector(selector);
+  const { activeLabel, shouldUseSliders } = useAppSelector(selector);
 
   return (
     <IAICollapse label="Refiner" activeLabel={activeLabel}>
       <Flex sx={{ gap: 2, flexDir: 'column' }}>
         <ParamUseSDXLRefiner />
-        <ParamRefinerModelSelect />
-        <ParamSDXLRefinerSteps />
+        <ParamSDXLRefinerModelSelect />
+        <Flex gap={2} flexDirection={shouldUseSliders ? 'column' : 'row'}>
+          <ParamSDXLRefinerSteps />
+          <ParamSDXLRefinerCFGScale />
+        </Flex>
+        <ParamSDXLRefinerScheduler />
+        <ParamSDXLRefinerAestheticScore />
+        <ParamSDXLRefinerStart />
       </Flex>
     </IAICollapse>
   );
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
new file mode 100644
index 0000000000..bab9011eb2
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
@@ -0,0 +1,55 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider from 'common/components/IAISlider';
+import { setRefinerAestheticScore } from 'features/sdxl/store/sdxlSlice';
+import { memo, useCallback } from 'react';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl, hotkeys }) => {
+    const { refinerAestheticScore } = sdxl;
+    const { shift } = hotkeys;
+
+    return {
+      refinerAestheticScore,
+      shift,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerAestheticScore = () => {
+  const { refinerAestheticScore, shift } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+
+  const handleChange = useCallback(
+    (v: number) => dispatch(setRefinerAestheticScore(v)),
+    [dispatch]
+  );
+
+  const handleReset = useCallback(
+    () => dispatch(setRefinerAestheticScore(6)),
+    [dispatch]
+  );
+
+  return (
+    <IAISlider
+      label="Aesthetic Score"
+      step={shift ? 0.1 : 0.5}
+      min={1}
+      max={10}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={refinerAestheticScore}
+      sliderNumberInputProps={{ max: 10 }}
+      withInput
+      withReset
+      withSliderMarks
+      isInteger={false}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerAestheticScore);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
new file mode 100644
index 0000000000..3e5bb3b9b5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
@@ -0,0 +1,71 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAINumberInput from 'common/components/IAINumberInput';
+import IAISlider from 'common/components/IAISlider';
+import { setRefinerCFGScale } from 'features/sdxl/store/sdxlSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl, ui, hotkeys }) => {
+    const { refinerCFGScale } = sdxl;
+    const { shouldUseSliders } = ui;
+    const { shift } = hotkeys;
+
+    return {
+      refinerCFGScale,
+      shouldUseSliders,
+      shift,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerCFGScale = () => {
+  const { refinerCFGScale, shouldUseSliders, shift } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleChange = useCallback(
+    (v: number) => dispatch(setRefinerCFGScale(v)),
+    [dispatch]
+  );
+
+  const handleReset = useCallback(
+    () => dispatch(setRefinerCFGScale(7)),
+    [dispatch]
+  );
+
+  return shouldUseSliders ? (
+    <IAISlider
+      label={t('parameters.cfgScale')}
+      step={shift ? 0.1 : 0.5}
+      min={1}
+      max={20}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={refinerCFGScale}
+      sliderNumberInputProps={{ max: 200 }}
+      withInput
+      withReset
+      withSliderMarks
+      isInteger={false}
+    />
+  ) : (
+    <IAINumberInput
+      label={t('parameters.cfgScale')}
+      step={0.5}
+      min={1}
+      max={200}
+      onChange={handleChange}
+      value={refinerCFGScale}
+      isInteger={false}
+      numberInputFieldProps={{ textAlign: 'center' }}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerCFGScale);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
similarity index 96%
rename from invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx
rename to invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 4c7c32a069..1b623e23f8 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -19,7 +19,7 @@ const selector = createSelector(
   defaultSelectorOptions
 );
 
-const ParamRefinerModelSelect = () => {
+const ParamSDXLRefinerModelSelect = () => {
   const dispatch = useAppDispatch();
 
   const { model } = useAppSelector(selector);
@@ -103,4 +103,4 @@ const ParamRefinerModelSelect = () => {
   );
 };
 
-export default memo(ParamRefinerModelSelect);
+export default memo(ParamSDXLRefinerModelSelect);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
new file mode 100644
index 0000000000..fd2b1457d5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
@@ -0,0 +1,63 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import {
+  SCHEDULER_LABEL_MAP,
+  SchedulerParam,
+} from 'features/parameters/types/parameterSchemas';
+import { setRefinerScheduler } from 'features/sdxl/store/sdxlSlice';
+import { map } from 'lodash-es';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const selector = createSelector(
+  stateSelector,
+  ({ ui, sdxl }) => {
+    const { refinerScheduler } = sdxl;
+    const { favoriteSchedulers: enabledSchedulers } = ui;
+
+    const data = map(SCHEDULER_LABEL_MAP, (label, name) => ({
+      value: name,
+      label: label,
+      group: enabledSchedulers.includes(name as SchedulerParam)
+        ? 'Favorites'
+        : undefined,
+    })).sort((a, b) => a.label.localeCompare(b.label));
+
+    return {
+      refinerScheduler,
+      data,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerScheduler = () => {
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+  const { refinerScheduler, data } = useAppSelector(selector);
+
+  const handleChange = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+      dispatch(setRefinerScheduler(v as SchedulerParam));
+    },
+    [dispatch]
+  );
+
+  return (
+    <IAIMantineSearchableSelect
+      w="100%"
+      label={t('parameters.scheduler')}
+      value={refinerScheduler}
+      data={data}
+      onChange={handleChange}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerScheduler);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
new file mode 100644
index 0000000000..e4b590e988
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -0,0 +1,55 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider from 'common/components/IAISlider';
+import { setRefinerStart } from 'features/sdxl/store/sdxlSlice';
+import { memo, useCallback } from 'react';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl, hotkeys }) => {
+    const { refinerStart } = sdxl;
+    const { shift } = hotkeys;
+
+    return {
+      refinerStart,
+      shift,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerStart = () => {
+  const { refinerStart, shift } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+
+  const handleChange = useCallback(
+    (v: number) => dispatch(setRefinerStart(v)),
+    [dispatch]
+  );
+
+  const handleReset = useCallback(
+    () => dispatch(setRefinerStart(0.7)),
+    [dispatch]
+  );
+
+  return (
+    <IAISlider
+      label="Refiner Start"
+      step={shift ? 0.1 : 0.01}
+      min={0.01}
+      max={1}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={refinerStart}
+      sliderNumberInputProps={{ max: 1 }}
+      withInput
+      withReset
+      withSliderMarks
+      isInteger={false}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerStart);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
index 2861f2f847..c3e61b70e4 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -5,7 +5,6 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 
 import IAISlider from 'common/components/IAISlider';
-import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
 import { setRefinerSteps } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -18,7 +17,6 @@ const selector = createSelector(
 
     return {
       refinerSteps,
-
       shouldUseSliders,
     };
   },
@@ -40,15 +38,11 @@ const ParamSDXLRefinerSteps = () => {
     dispatch(setRefinerSteps(20));
   }, [dispatch]);
 
-  const handleBlur = useCallback(() => {
-    dispatch(clampSymmetrySteps());
-  }, [dispatch]);
-
   return shouldUseSliders ? (
     <IAISlider
       label={t('parameters.steps')}
       min={1}
-      max={200}
+      max={100}
       step={1}
       onChange={handleChange}
       handleReset={handleReset}
@@ -56,18 +50,17 @@ const ParamSDXLRefinerSteps = () => {
       withInput
       withReset
       withSliderMarks
-      sliderNumberInputProps={{ max: 999 }}
+      sliderNumberInputProps={{ max: 500 }}
     />
   ) : (
     <IAINumberInput
       label={t('parameters.steps')}
       min={1}
-      max={999}
+      max={500}
       step={1}
       onChange={handleChange}
       value={refinerSteps}
       numberInputFieldProps={{ textAlign: 'center' }}
-      onBlur={handleBlur}
     />
   );
 };

From 52026101609ad297b1cab409603f8b35b1b090c4 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 22:14:19 +1200
Subject: [PATCH 24/58] feat: Move SDXL Refiner to own route & set appropriate
 disabled statuses

---
 .../listeners/modelsLoaded.ts                 | 51 +++++++++++++
 .../ParamSDXLRefinerAestheticScore.tsx        |  7 +-
 .../SDXLRefiner/ParamSDXLRefinerCFGScale.tsx  |  8 +-
 .../ParamSDXLRefinerModelSelect.tsx           | 26 +++----
 .../SDXLRefiner/ParamSDXLRefinerScheduler.tsx |  7 +-
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     |  6 +-
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     |  8 +-
 .../SDXLRefiner/ParamUseSDXLRefiner.tsx       |  2 +-
 .../web/src/services/api/endpoints/models.ts  | 76 +++++++++++++++++--
 9 files changed, 159 insertions(+), 32 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index 57981918d8..c3f710c09c 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -9,6 +9,10 @@ import {
   zMainModel,
   zVaeModel,
 } from 'features/parameters/types/parameterSchemas';
+import {
+  refinerModelChanged,
+  setIsRefinerAvailable,
+} from 'features/sdxl/store/sdxlSlice';
 import { forEach, some } from 'lodash-es';
 import { modelsApi } from 'services/api/endpoints/models';
 import { startAppListening } from '..';
@@ -59,6 +63,53 @@ export const addModelsLoadedListener = () => {
       dispatch(modelChanged(result.data));
     },
   });
+  startAppListening({
+    matcher: modelsApi.endpoints.getSDXLRefinerModels.matchFulfilled,
+    effect: async (action, { getState, dispatch }) => {
+      // models loaded, we need to ensure the selected model is available and if not, select the first one
+      const log = logger('models');
+      log.info(
+        { models: action.payload.entities },
+        `SDXL Refiner models loaded (${action.payload.ids.length})`
+      );
+
+      const currentModel = getState().sdxl.refinerModel;
+
+      const isCurrentModelAvailable = some(
+        action.payload.entities,
+        (m) =>
+          m?.model_name === currentModel?.model_name &&
+          m?.base_model === currentModel?.base_model
+      );
+
+      if (isCurrentModelAvailable) {
+        return;
+      }
+
+      const firstModelId = action.payload.ids[0];
+      const firstModel = action.payload.entities[firstModelId];
+
+      if (!firstModel) {
+        // No models loaded at all
+        dispatch(refinerModelChanged(null));
+        dispatch(setIsRefinerAvailable(false));
+        return;
+      }
+
+      const result = zMainModel.safeParse(firstModel);
+
+      if (!result.success) {
+        log.error(
+          { error: result.error.format() },
+          'Failed to parse SDXL Refiner Model'
+        );
+        return;
+      }
+
+      dispatch(refinerModelChanged(result.data));
+      dispatch(setIsRefinerAvailable(true));
+    },
+  });
   startAppListening({
     matcher: modelsApi.endpoints.getVaeModels.matchFulfilled,
     effect: async (action, { getState, dispatch }) => {
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
index bab9011eb2..8210bd0385 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
@@ -9,10 +9,11 @@ import { memo, useCallback } from 'react';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, hotkeys }) => {
-    const { refinerAestheticScore } = sdxl;
+    const { refinerAestheticScore, isRefinerAvailable } = sdxl;
     const { shift } = hotkeys;
 
     return {
+      isRefinerAvailable,
       refinerAestheticScore,
       shift,
     };
@@ -21,7 +22,8 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerAestheticScore = () => {
-  const { refinerAestheticScore, shift } = useAppSelector(selector);
+  const { refinerAestheticScore, shift, isRefinerAvailable } =
+    useAppSelector(selector);
   const dispatch = useAppDispatch();
 
   const handleChange = useCallback(
@@ -48,6 +50,7 @@ const ParamSDXLRefinerAestheticScore = () => {
       withReset
       withSliderMarks
       isInteger={false}
+      isDisabled={!isRefinerAvailable}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
index 3e5bb3b9b5..3371d4048e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
@@ -11,11 +11,12 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, ui, hotkeys }) => {
-    const { refinerCFGScale } = sdxl;
+    const { refinerCFGScale, isRefinerAvailable } = sdxl;
     const { shouldUseSliders } = ui;
     const { shift } = hotkeys;
 
     return {
+      isRefinerAvailable,
       refinerCFGScale,
       shouldUseSliders,
       shift,
@@ -25,7 +26,8 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerCFGScale = () => {
-  const { refinerCFGScale, shouldUseSliders, shift } = useAppSelector(selector);
+  const { refinerCFGScale, shouldUseSliders, shift, isRefinerAvailable } =
+    useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -53,6 +55,7 @@ const ParamSDXLRefinerCFGScale = () => {
       withReset
       withSliderMarks
       isInteger={false}
+      isDisabled={!isRefinerAvailable}
     />
   ) : (
     <IAINumberInput
@@ -64,6 +67,7 @@ const ParamSDXLRefinerCFGScale = () => {
       value={refinerCFGScale}
       isInteger={false}
       numberInputFieldProps={{ textAlign: 'center' }}
+      isDisabled={!isRefinerAvailable}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 1b623e23f8..5c052af562 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -11,7 +11,7 @@ import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
-import { useGetMainModelsQuery } from 'services/api/endpoints/models';
+import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
 
 const selector = createSelector(
   stateSelector,
@@ -24,39 +24,37 @@ const ParamSDXLRefinerModelSelect = () => {
 
   const { model } = useAppSelector(selector);
 
-  const { data: mainModels, isLoading } = useGetMainModelsQuery();
+  const { data: sdxlModels, isLoading } = useGetSDXLRefinerModelsQuery();
 
   const data = useMemo(() => {
-    if (!mainModels) {
+    if (!sdxlModels) {
       return [];
     }
 
     const data: SelectItem[] = [];
 
-    forEach(mainModels.entities, (model, id) => {
+    forEach(sdxlModels.entities, (model, id) => {
       if (!model) {
         return;
       }
 
-      if (['sdxl-refiner'].includes(model.base_model)) {
-        data.push({
-          value: id,
-          label: model.model_name,
-          group: MODEL_TYPE_MAP[model.base_model],
-        });
-      }
+      data.push({
+        value: id,
+        label: model.model_name,
+        group: MODEL_TYPE_MAP[model.base_model],
+      });
     });
 
     return data;
-  }, [mainModels]);
+  }, [sdxlModels]);
 
   // grab the full model entity from the RTK Query cache
   // TODO: maybe we should just store the full model entity in state?
   const selectedModel = useMemo(
     () =>
-      mainModels?.entities[`${model?.base_model}/main/${model?.model_name}`] ??
+      sdxlModels?.entities[`${model?.base_model}/main/${model?.model_name}`] ??
       null,
-    [mainModels?.entities, model]
+    [sdxlModels?.entities, model]
   );
 
   const handleChangeModel = useCallback(
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
index fd2b1457d5..8fd62df176 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
@@ -15,7 +15,7 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   ({ ui, sdxl }) => {
-    const { refinerScheduler } = sdxl;
+    const { refinerScheduler, isRefinerAvailable } = sdxl;
     const { favoriteSchedulers: enabledSchedulers } = ui;
 
     const data = map(SCHEDULER_LABEL_MAP, (label, name) => ({
@@ -27,6 +27,7 @@ const selector = createSelector(
     })).sort((a, b) => a.label.localeCompare(b.label));
 
     return {
+      isRefinerAvailable,
       refinerScheduler,
       data,
     };
@@ -37,7 +38,8 @@ const selector = createSelector(
 const ParamSDXLRefinerScheduler = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-  const { refinerScheduler, data } = useAppSelector(selector);
+  const { refinerScheduler, data, isRefinerAvailable } =
+    useAppSelector(selector);
 
   const handleChange = useCallback(
     (v: string | null) => {
@@ -56,6 +58,7 @@ const ParamSDXLRefinerScheduler = () => {
       value={refinerScheduler}
       data={data}
       onChange={handleChange}
+      disabled={!isRefinerAvailable}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index e4b590e988..df4512691e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -9,10 +9,11 @@ import { memo, useCallback } from 'react';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, hotkeys }) => {
-    const { refinerStart } = sdxl;
+    const { refinerStart, isRefinerAvailable } = sdxl;
     const { shift } = hotkeys;
 
     return {
+      isRefinerAvailable,
       refinerStart,
       shift,
     };
@@ -21,7 +22,7 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerStart = () => {
-  const { refinerStart, shift } = useAppSelector(selector);
+  const { refinerStart, shift, isRefinerAvailable } = useAppSelector(selector);
   const dispatch = useAppDispatch();
 
   const handleChange = useCallback(
@@ -48,6 +49,7 @@ const ParamSDXLRefinerStart = () => {
       withReset
       withSliderMarks
       isInteger={false}
+      isDisabled={!isRefinerAvailable}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
index c3e61b70e4..07b0f4abfe 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -12,10 +12,11 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, ui }) => {
-    const { refinerSteps } = sdxl;
+    const { refinerSteps, isRefinerAvailable } = sdxl;
     const { shouldUseSliders } = ui;
 
     return {
+      isRefinerAvailable,
       refinerSteps,
       shouldUseSliders,
     };
@@ -24,7 +25,8 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerSteps = () => {
-  const { refinerSteps, shouldUseSliders } = useAppSelector(selector);
+  const { refinerSteps, shouldUseSliders, isRefinerAvailable } =
+    useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
@@ -51,6 +53,7 @@ const ParamSDXLRefinerSteps = () => {
       withReset
       withSliderMarks
       sliderNumberInputProps={{ max: 500 }}
+      isDisabled={!isRefinerAvailable}
     />
   ) : (
     <IAINumberInput
@@ -61,6 +64,7 @@ const ParamSDXLRefinerSteps = () => {
       onChange={handleChange}
       value={refinerSteps}
       numberInputFieldProps={{ textAlign: 'center' }}
+      isDisabled={!isRefinerAvailable}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
index 9da8286910..1f33d8d8a3 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
@@ -24,7 +24,7 @@ export default function ParamUseSDXLRefiner() {
       label="Use Refiner"
       isChecked={shouldUseSDXLRefiner}
       onChange={handleUseSDXLRefinerChange}
-      isDisabled={isRefinerAvailable}
+      isDisabled={!isRefinerAvailable}
     />
   );
 }
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index ff82bc2802..f1ff731d0e 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -107,6 +107,9 @@ type SearchFolderArg = operations['search_for_models']['parameters']['query'];
 const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
+const sdxlRefinerModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
+  sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
+});
 const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
@@ -176,6 +179,43 @@ export const modelsApi = api.injectEndpoints({
         );
       },
     }),
+    getSDXLRefinerModels: build.query<EntityState<MainModelConfigEntity>, void>(
+      {
+        query: () => ({
+          url: 'models/',
+          params: { model_type: 'main', base_models: 'sdxl-refiner' },
+        }),
+        providesTags: (result, error, arg) => {
+          const tags: ApiFullTagDescription[] = [
+            { type: 'SDXLRefinerModel', id: LIST_TAG },
+          ];
+
+          if (result) {
+            tags.push(
+              ...result.ids.map((id) => ({
+                type: 'SDXLRefinerModel' as const,
+                id,
+              }))
+            );
+          }
+
+          return tags;
+        },
+        transformResponse: (
+          response: { models: MainModelConfig[] },
+          meta,
+          arg
+        ) => {
+          const entities = createModelEntities<MainModelConfigEntity>(
+            response.models
+          );
+          return sdxlRefinerModelsAdapter.setAll(
+            sdxlRefinerModelsAdapter.getInitialState(),
+            entities
+          );
+        },
+      }
+    ),
     updateMainModels: build.mutation<
       UpdateMainModelResponse,
       UpdateMainModelArg
@@ -187,7 +227,10 @@ export const modelsApi = api.injectEndpoints({
           body: body,
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     importMainModels: build.mutation<
       ImportMainModelResponse,
@@ -200,7 +243,10 @@ export const modelsApi = api.injectEndpoints({
           body: body,
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     addMainModels: build.mutation<AddMainModelResponse, AddMainModelArg>({
       query: ({ body }) => {
@@ -210,7 +256,10 @@ export const modelsApi = api.injectEndpoints({
           body: body,
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     deleteMainModels: build.mutation<
       DeleteMainModelResponse,
@@ -222,7 +271,10 @@ export const modelsApi = api.injectEndpoints({
           method: 'DELETE',
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     convertMainModels: build.mutation<
       ConvertMainModelResponse,
@@ -235,7 +287,10 @@ export const modelsApi = api.injectEndpoints({
           params: params,
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     mergeMainModels: build.mutation<MergeMainModelResponse, MergeMainModelArg>({
       query: ({ base_model, body }) => {
@@ -245,7 +300,10 @@ export const modelsApi = api.injectEndpoints({
           body: body,
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     syncModels: build.mutation<SyncModelsResponse, void>({
       query: () => {
@@ -254,7 +312,10 @@ export const modelsApi = api.injectEndpoints({
           method: 'POST',
         };
       },
-      invalidatesTags: [{ type: 'MainModel', id: LIST_TAG }],
+      invalidatesTags: [
+        { type: 'MainModel', id: LIST_TAG },
+        { type: 'SDXLRefinerModel', id: LIST_TAG },
+      ],
     }),
     getLoRAModels: build.query<EntityState<LoRAModelConfigEntity>, void>({
       query: () => ({ url: 'models/', params: { model_type: 'lora' } }),
@@ -425,6 +486,7 @@ export const modelsApi = api.injectEndpoints({
 
 export const {
   useGetMainModelsQuery,
+  useGetSDXLRefinerModelsQuery,
   useGetControlNetModelsQuery,
   useGetLoRAModelsQuery,
   useGetTextualInversionModelsQuery,

From 6295e56d96f4942faf85da4b3606e451f12dad78 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 23:13:37 +1200
Subject: [PATCH 25/58] feat: Add SDXL Refiner to Linear UI

---
 .../buildLinearSDXLImageToImageGraph.ts       |  15 +-
 .../buildLinearSDXLTextToImageGraph.ts        |  14 +-
 .../graphBuilders/buildSDXLRefinerGraph.ts    | 151 ++++++++++++++++--
 .../nodes/util/graphBuilders/constants.ts     |   5 +
 4 files changed, 172 insertions(+), 13 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index baf46d482c..379e51e5a9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -7,6 +7,7 @@ import {
   ImageToLatentsInvocation,
 } from 'services/api/types';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addSDXLRefinerToGraph } from './buildSDXLRefinerGraph';
 import {
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
@@ -44,7 +45,12 @@ export const buildLinearSDXLImageToImageGraph = (
     shouldUseNoiseSettings,
   } = state.generation;
 
-  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+  } = state.sdxl;
 
   // TODO: add batch functionality
   // const {
@@ -115,7 +121,7 @@ export const buildLinearSDXLImageToImageGraph = (
         cfg_scale,
         scheduler,
         steps,
-        denoising_start: 1 - strength,
+        denoising_start: shouldUseSDXLRefiner ? refinerStart : 1 - strength,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -389,6 +395,11 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, LATENTS_TO_IMAGE);
+  }
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 3ff7736fa5..d3f1f773bf 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -3,6 +3,7 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addSDXLRefinerToGraph } from './buildSDXLRefinerGraph';
 import {
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -32,7 +33,12 @@ export const buildLinearSDXLTextToImageGraph = (
     shouldUseNoiseSettings,
   } = state.generation;
 
-  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+  } = state.sdxl;
 
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
@@ -86,6 +92,7 @@ export const buildLinearSDXLTextToImageGraph = (
         cfg_scale,
         scheduler,
         steps,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
@@ -228,6 +235,11 @@ export const buildLinearSDXLTextToImageGraph = (
     },
   });
 
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, SDXL_TEXT_TO_LATENTS);
+  }
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
index b33675f44d..113b6f0be7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
@@ -1,32 +1,163 @@
 import { RootState } from 'app/store/store';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
-import { METADATA_ACCUMULATOR, SDXL_TEXT_TO_LATENTS } from './constants';
+import {
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  SDXL_MODEL_LOADER,
+  SDXL_REFINER_LATENTS_TO_LATENTS,
+  SDXL_REFINER_MODEL_LOADER,
+  SDXL_REFINER_NEGATIVE_CONDITIONING,
+  SDXL_REFINER_POSITIVE_CONDITIONING,
+} from './constants';
 
 export const addSDXLRefinerToGraph = (
   state: RootState,
   graph: NonNullableGraph,
   baseNodeId: string
 ): void => {
-  const { shouldUseSDXLRefiner, model } = state.generation;
+  const { positivePrompt, negativePrompt } = state.generation;
+  const {
+    refinerModel,
+    refinerAestheticScore,
+    positiveStylePrompt,
+    negativeStylePrompt,
+    refinerSteps,
+    refinerScheduler,
+    refinerCFGScale,
+    refinerStart,
+  } = state.sdxl;
+
+  if (!refinerModel) return;
 
   const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
     | MetadataAccumulatorInvocation
     | undefined;
 
-  if (!shouldUseSDXLRefiner) return;
+  // Unplug SDXL Latents Generation To Latents To Image
+  graph.edges = graph.edges.filter(
+    (e) =>
+      !(e.source.node_id === baseNodeId && ['latents'].includes(e.source.field))
+  );
 
-  // Unplug SDXL Text To Latents To Latents To Image
   graph.edges = graph.edges.filter(
     (e) =>
       !(
-        e.source.node_id === SDXL_TEXT_TO_LATENTS &&
-        ['latents'].includes(e.source.field)
+        e.source.node_id === SDXL_MODEL_LOADER &&
+        ['vae'].includes(e.source.field)
       )
   );
 
-  //   graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
-  //     id: SDXL_REFINER_MODEL_LOADER,
-  //     type: 'sdxl_refiner_model_loader',
-  //   };
+  graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
+    type: 'sdxl_refiner_model_loader',
+    id: SDXL_REFINER_MODEL_LOADER,
+    model: refinerModel,
+  };
+  graph.nodes[SDXL_REFINER_POSITIVE_CONDITIONING] = {
+    type: 'sdxl_refiner_compel_prompt',
+    id: SDXL_REFINER_POSITIVE_CONDITIONING,
+    style: `${positivePrompt} ${positiveStylePrompt}`,
+    aesthetic_score: refinerAestheticScore,
+  };
+  graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = {
+    type: 'sdxl_refiner_compel_prompt',
+    id: SDXL_REFINER_NEGATIVE_CONDITIONING,
+    style: `${negativePrompt} ${negativeStylePrompt}`,
+    aesthetic_score: refinerAestheticScore,
+  };
+  graph.nodes[SDXL_REFINER_LATENTS_TO_LATENTS] = {
+    type: 'l2l_sdxl',
+    id: SDXL_REFINER_LATENTS_TO_LATENTS,
+    cfg_scale: refinerCFGScale,
+    steps: refinerSteps / (1 - refinerStart),
+    scheduler: refinerScheduler,
+    denoising_start: refinerStart,
+  };
+  // graph.nodes[LATENTS_TO_IMAGE] = {
+  //   type: 'l2i',
+  //   id: LATENTS_TO_IMAGE,
+  // };
+
+  graph.edges.push(
+    {
+      source: {
+        node_id: SDXL_REFINER_MODEL_LOADER,
+        field: 'unet',
+      },
+      destination: {
+        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        field: 'unet',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_MODEL_LOADER,
+        field: 'vae',
+      },
+      destination: {
+        node_id: LATENTS_TO_IMAGE,
+        field: 'vae',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_MODEL_LOADER,
+        field: 'clip2',
+      },
+      destination: {
+        node_id: SDXL_REFINER_POSITIVE_CONDITIONING,
+        field: 'clip2',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_MODEL_LOADER,
+        field: 'clip2',
+      },
+      destination: {
+        node_id: SDXL_REFINER_NEGATIVE_CONDITIONING,
+        field: 'clip2',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_POSITIVE_CONDITIONING,
+        field: 'conditioning',
+      },
+      destination: {
+        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        field: 'positive_conditioning',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_NEGATIVE_CONDITIONING,
+        field: 'conditioning',
+      },
+      destination: {
+        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        field: 'negative_conditioning',
+      },
+    },
+    {
+      source: {
+        node_id: baseNodeId,
+        field: 'latents',
+      },
+      destination: {
+        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        field: 'latents',
+      },
+    },
+    {
+      source: {
+        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        field: 'latents',
+      },
+      destination: {
+        node_id: LATENTS_TO_IMAGE,
+        field: 'latents',
+      },
+    }
+  );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index f98c3197fa..f7d11d109c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -27,6 +27,11 @@ export const SDXL_MODEL_LOADER = 'sdxl_model_loader';
 export const SDXL_TEXT_TO_LATENTS = 't2l_sdxl';
 export const SDXL_LATENTS_TO_LATENTS = 'l2l_sdxl';
 export const SDXL_REFINER_MODEL_LOADER = 'sdxl_refiner_model_loader';
+export const SDXL_REFINER_POSITIVE_CONDITIONING =
+  'sdxl_refiner_positive_conditioning';
+export const SDXL_REFINER_NEGATIVE_CONDITIONING =
+  'sdxl_refiner_negative_conditioning';
+export const SDXL_REFINER_LATENTS_TO_LATENTS = 'l2l_sdxl_refiner';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';

From 0eb31c5710a106b044892ce736f52053dc034993 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 23:16:06 +1200
Subject: [PATCH 26/58] fix: Cyclic push in the graph

---
 .../util/graphBuilders/buildLinearSDXLImageToImageGraph.ts      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 379e51e5a9..c5e8ec8934 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -397,7 +397,7 @@ export const buildLinearSDXLImageToImageGraph = (
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, LATENTS_TO_IMAGE);
+    addSDXLRefinerToGraph(state, graph, SDXL_LATENTS_TO_LATENTS);
   }
 
   // add dynamic prompts - also sets up core iteration and seed

From 6c46304eb833c2b78c27cddae98aff0d14fd4574 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 25 Jul 2023 23:20:54 +1200
Subject: [PATCH 27/58] fix: Replug Image To Latents VAE back in the Refiner
 graph for img2img

---
 .../util/graphBuilders/buildSDXLRefinerGraph.ts   | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
index 113b6f0be7..d7535deeed 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
@@ -2,6 +2,7 @@ import { RootState } from 'app/store/store';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
 import {
+  IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   SDXL_MODEL_LOADER,
@@ -73,12 +74,18 @@ export const addSDXLRefinerToGraph = (
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
   };
-  // graph.nodes[LATENTS_TO_IMAGE] = {
-  //   type: 'l2i',
-  //   id: LATENTS_TO_IMAGE,
-  // };
 
   graph.edges.push(
+    {
+      source: {
+        node_id: SDXL_MODEL_LOADER,
+        field: 'vae',
+      },
+      destination: {
+        node_id: IMAGE_TO_LATENTS,
+        field: 'vae',
+      },
+    },
     {
       source: {
         node_id: SDXL_REFINER_MODEL_LOADER,

From 751c4407e4ccdd2cda08472ff828a13d45a4c4c6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 25 Jul 2023 21:53:31 +1000
Subject: [PATCH 28/58] feat(ui): add node type to invocation started

---
 .../listeners/socketio/socketInvocationStarted.ts            | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
index 15447e5350..4e77811762 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationStarted.ts
@@ -21,7 +21,10 @@ export const addInvocationStartedEventListener = () => {
         return;
       }
 
-      log.debug(action.payload, 'Invocation started');
+      log.debug(
+        action.payload,
+        `Invocation started (${action.payload.data.node.type})`
+      );
       dispatch(appSocketInvocationStarted(action.payload));
     },
   });

From 8e90f9024d3e6e84ec07b5c06236bb3861a4f7dc Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 25 Jul 2023 22:08:25 +1000
Subject: [PATCH 29/58] feat(ui): remove `isRefinerAvailable` state, update
 refiner node

We can derive `isRefinerAvailable` from the query result (eg are there any refiner models installed). This is a piece of server state, so by using the list models response directly, we can avoid needing to manually keep the client in sync with the server.

Created a `useIsRefinerAvailable()` hook to return this boolean wherever it is needed.

Also updated the main models & refiner models endpoints to only return the appropriate models. Now we don't need to filter the data on these endpoints.
---
 invokeai/app/invocations/sdxl.py              |   2 +-
 .../listeners/modelsLoaded.ts                 |   5 +-
 .../nodes/components/InputFieldComponent.tsx  |  11 ++
 .../RefinerModelInputFieldComponent.tsx       | 115 ++++++++++++++++++
 .../web/src/features/nodes/types/constants.ts |   7 ++
 .../web/src/features/nodes/types/types.ts     |  13 ++
 .../nodes/util/fieldTemplateBuilders.ts       |  20 +++
 .../features/nodes/util/fieldValueBuilders.ts |   4 +
 .../MainModel/ParamMainModelSelect.tsx        |   2 +-
 .../ParamSDXLRefinerAestheticScore.tsx        |  10 +-
 .../SDXLRefiner/ParamSDXLRefinerCFGScale.tsx  |   8 +-
 .../ParamSDXLRefinerModelSelect.tsx           |  15 +--
 .../SDXLRefiner/ParamSDXLRefinerScheduler.tsx |   9 +-
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     |   8 +-
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     |  10 +-
 .../SDXLRefiner/ParamUseSDXLRefiner.tsx       |   6 +-
 .../sdxl/hooks/useIsRefinerAvailable.ts       |  11 ++
 .../web/src/features/sdxl/store/sdxlSlice.ts  |   6 -
 .../web/src/services/api/endpoints/models.ts  |  12 +-
 19 files changed, 228 insertions(+), 46 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts

diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index f877b22924..3a63860053 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -138,7 +138,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
             "ui": {
                 "title": "SDXL Refiner Model Loader",
                 "tags": ["model", "loader", "sdxl_refiner"],
-                "type_hints": {"model": "model"},
+                "type_hints": {"model": "refiner_model"},
             },
         }
 
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index c3f710c09c..a2c622ee63 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -11,7 +11,7 @@ import {
 } from 'features/parameters/types/parameterSchemas';
 import {
   refinerModelChanged,
-  setIsRefinerAvailable,
+  setShouldUseSDXLRefiner,
 } from 'features/sdxl/store/sdxlSlice';
 import { forEach, some } from 'lodash-es';
 import { modelsApi } from 'services/api/endpoints/models';
@@ -92,7 +92,7 @@ export const addModelsLoadedListener = () => {
       if (!firstModel) {
         // No models loaded at all
         dispatch(refinerModelChanged(null));
-        dispatch(setIsRefinerAvailable(false));
+        dispatch(setShouldUseSDXLRefiner(false));
         return;
       }
 
@@ -107,7 +107,6 @@ export const addModelsLoadedListener = () => {
       }
 
       dispatch(refinerModelChanged(result.data));
-      dispatch(setIsRefinerAvailable(true));
     },
   });
   startAppListening({
diff --git a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
index 23effc5375..0ecc43ef9c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
@@ -20,6 +20,7 @@ import StringInputFieldComponent from './fields/StringInputFieldComponent';
 import UnetInputFieldComponent from './fields/UnetInputFieldComponent';
 import VaeInputFieldComponent from './fields/VaeInputFieldComponent';
 import VaeModelInputFieldComponent from './fields/VaeModelInputFieldComponent';
+import RefinerModelInputFieldComponent from './fields/RefinerModelInputFieldComponent';
 
 type InputFieldComponentProps = {
   nodeId: string;
@@ -155,6 +156,16 @@ const InputFieldComponent = (props: InputFieldComponentProps) => {
     );
   }
 
+  if (type === 'refiner_model' && template.type === 'refiner_model') {
+    return (
+      <RefinerModelInputFieldComponent
+        nodeId={nodeId}
+        field={field}
+        template={template}
+      />
+    );
+  }
+
   if (type === 'vae_model' && template.type === 'vae_model') {
     return (
       <VaeModelInputFieldComponent
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
new file mode 100644
index 0000000000..1c791c8704
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
@@ -0,0 +1,115 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { SelectItem } from '@mantine/core';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  RefinerModelInputFieldTemplate,
+  RefinerModelInputFieldValue,
+} from 'features/nodes/types/types';
+import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
+import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import { forEach } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
+import { FieldComponentProps } from './types';
+
+const RefinerModelInputFieldComponent = (
+  props: FieldComponentProps<
+    RefinerModelInputFieldValue,
+    RefinerModelInputFieldTemplate
+  >
+) => {
+  const { nodeId, field } = props;
+
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const { data: refinerModels, isLoading } = useGetSDXLRefinerModelsQuery();
+
+  const data = useMemo(() => {
+    if (!refinerModels) {
+      return [];
+    }
+
+    const data: SelectItem[] = [];
+
+    forEach(refinerModels.entities, (model, id) => {
+      if (!model) {
+        return;
+      }
+
+      data.push({
+        value: id,
+        label: model.model_name,
+        group: MODEL_TYPE_MAP[model.base_model],
+      });
+    });
+
+    return data;
+  }, [refinerModels]);
+
+  // grab the full model entity from the RTK Query cache
+  // TODO: maybe we should just store the full model entity in state?
+  const selectedModel = useMemo(
+    () =>
+      refinerModels?.entities[
+        `${field.value?.base_model}/main/${field.value?.model_name}`
+      ] ?? null,
+    [field.value?.base_model, field.value?.model_name, refinerModels?.entities]
+  );
+
+  const handleChangeModel = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      const newModel = modelIdToMainModelParam(v);
+
+      if (!newModel) {
+        return;
+      }
+
+      dispatch(
+        fieldValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: newModel,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  return isLoading ? (
+    <IAIMantineSearchableSelect
+      label={t('modelManager.model')}
+      placeholder="Loading..."
+      disabled={true}
+      data={[]}
+    />
+  ) : (
+    <Flex w="100%" alignItems="center" gap={2}>
+      <IAIMantineSearchableSelect
+        tooltip={selectedModel?.description}
+        label={
+          selectedModel?.base_model && MODEL_TYPE_MAP[selectedModel?.base_model]
+        }
+        value={selectedModel?.id}
+        placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
+        data={data}
+        error={data.length === 0}
+        disabled={data.length === 0}
+        onChange={handleChangeModel}
+      />
+      <Box mt={7}>
+        <SyncModelsButton iconMode />
+      </Box>
+    </Flex>
+  );
+};
+
+export default memo(RefinerModelInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index c07efc9c27..d83d240847 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -17,6 +17,7 @@ export const FIELD_TYPE_MAP: Record<string, FieldType> = {
   ClipField: 'clip',
   VaeField: 'vae',
   model: 'model',
+  refiner_model: 'refiner_model',
   vae_model: 'vae_model',
   lora_model: 'lora_model',
   controlnet_model: 'controlnet_model',
@@ -120,6 +121,12 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'Model',
     description: 'Models are models.',
   },
+  refiner_model: {
+    color: 'teal',
+    colorCssVar: getColorTokenCssVariable('teal'),
+    title: 'Refiner Model',
+    description: 'Models are models.',
+  },
   vae_model: {
     color: 'teal',
     colorCssVar: getColorTokenCssVariable('teal'),
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index f111155a39..157b990b96 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -70,6 +70,7 @@ export type FieldType =
   | 'vae'
   | 'control'
   | 'model'
+  | 'refiner_model'
   | 'vae_model'
   | 'lora_model'
   | 'controlnet_model'
@@ -100,6 +101,7 @@ export type InputFieldValue =
   | ControlInputFieldValue
   | EnumInputFieldValue
   | MainModelInputFieldValue
+  | RefinerModelInputFieldValue
   | VaeModelInputFieldValue
   | LoRAModelInputFieldValue
   | ControlNetModelInputFieldValue
@@ -128,6 +130,7 @@ export type InputFieldTemplate =
   | ControlInputFieldTemplate
   | EnumInputFieldTemplate
   | ModelInputFieldTemplate
+  | RefinerModelInputFieldTemplate
   | VaeModelInputFieldTemplate
   | LoRAModelInputFieldTemplate
   | ControlNetModelInputFieldTemplate
@@ -243,6 +246,11 @@ export type MainModelInputFieldValue = FieldValueBase & {
   value?: MainModelParam;
 };
 
+export type RefinerModelInputFieldValue = FieldValueBase & {
+  type: 'refiner_model';
+  value?: MainModelParam;
+};
+
 export type VaeModelInputFieldValue = FieldValueBase & {
   type: 'vae_model';
   value?: VaeModelParam;
@@ -367,6 +375,11 @@ export type ModelInputFieldTemplate = InputFieldTemplateBase & {
   type: 'model';
 };
 
+export type RefinerModelInputFieldTemplate = InputFieldTemplateBase & {
+  default: string;
+  type: 'refiner_model';
+};
+
 export type VaeModelInputFieldTemplate = InputFieldTemplateBase & {
   default: string;
   type: 'vae_model';
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 9c01deded6..a116ac4c0a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -22,6 +22,8 @@ import {
   LoRAModelInputFieldTemplate,
   ModelInputFieldTemplate,
   OutputFieldTemplate,
+  RefinerModelInputFieldTemplate,
+  RefinerModelInputFieldValue,
   StringInputFieldTemplate,
   TypeHints,
   UNetInputFieldTemplate,
@@ -178,6 +180,21 @@ const buildModelInputFieldTemplate = ({
   return template;
 };
 
+const buildRefinerModelInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): RefinerModelInputFieldTemplate => {
+  const template: RefinerModelInputFieldTemplate = {
+    ...baseField,
+    type: 'refiner_model',
+    inputRequirement: 'always',
+    inputKind: 'direct',
+    default: schemaObject.default ?? undefined,
+  };
+
+  return template;
+};
+
 const buildVaeModelInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -492,6 +509,9 @@ export const buildInputFieldTemplate = (
   if (['model'].includes(fieldType)) {
     return buildModelInputFieldTemplate({ schemaObject, baseField });
   }
+  if (['refiner_model'].includes(fieldType)) {
+    return buildRefinerModelInputFieldTemplate({ schemaObject, baseField });
+  }
   if (['vae_model'].includes(fieldType)) {
     return buildVaeModelInputFieldTemplate({ schemaObject, baseField });
   }
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index f54a7640bd..3c6850a88a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -76,6 +76,10 @@ export const buildInputFieldValue = (
       fieldValue.value = undefined;
     }
 
+    if (template.type === 'refiner_model') {
+      fieldValue.value = undefined;
+    }
+
     if (template.type === 'vae_model') {
       fieldValue.value = undefined;
     }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 4c3b40738d..6b17534dd4 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -40,7 +40,7 @@ const ParamMainModelSelect = () => {
     const data: SelectItem[] = [];
 
     forEach(mainModels.entities, (model, id) => {
-      if (!model || ['sdxl-refiner'].includes(model.base_model)) {
+      if (!model) {
         return;
       }
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
index 8210bd0385..8a3f655261 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
@@ -3,17 +3,17 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISlider from 'common/components/IAISlider';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerAestheticScore } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, hotkeys }) => {
-    const { refinerAestheticScore, isRefinerAvailable } = sdxl;
+    const { refinerAestheticScore } = sdxl;
     const { shift } = hotkeys;
 
     return {
-      isRefinerAvailable,
       refinerAestheticScore,
       shift,
     };
@@ -22,8 +22,10 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerAestheticScore = () => {
-  const { refinerAestheticScore, shift, isRefinerAvailable } =
-    useAppSelector(selector);
+  const { refinerAestheticScore, shift } = useAppSelector(selector);
+
+  const isRefinerAvailable = useIsRefinerAvailable();
+
   const dispatch = useAppDispatch();
 
   const handleChange = useCallback(
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
index 3371d4048e..4d0a8cef7f 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
@@ -4,6 +4,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerCFGScale } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -11,12 +12,11 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, ui, hotkeys }) => {
-    const { refinerCFGScale, isRefinerAvailable } = sdxl;
+    const { refinerCFGScale } = sdxl;
     const { shouldUseSliders } = ui;
     const { shift } = hotkeys;
 
     return {
-      isRefinerAvailable,
       refinerCFGScale,
       shouldUseSliders,
       shift,
@@ -26,8 +26,8 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerCFGScale = () => {
-  const { refinerCFGScale, shouldUseSliders, shift, isRefinerAvailable } =
-    useAppSelector(selector);
+  const { refinerCFGScale, shouldUseSliders, shift } = useAppSelector(selector);
+  const isRefinerAvailable = useIsRefinerAvailable();
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 5c052af562..63f72ecacf 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -24,16 +24,16 @@ const ParamSDXLRefinerModelSelect = () => {
 
   const { model } = useAppSelector(selector);
 
-  const { data: sdxlModels, isLoading } = useGetSDXLRefinerModelsQuery();
+  const { data: refinerModels, isLoading } = useGetSDXLRefinerModelsQuery();
 
   const data = useMemo(() => {
-    if (!sdxlModels) {
+    if (!refinerModels) {
       return [];
     }
 
     const data: SelectItem[] = [];
 
-    forEach(sdxlModels.entities, (model, id) => {
+    forEach(refinerModels.entities, (model, id) => {
       if (!model) {
         return;
       }
@@ -46,15 +46,16 @@ const ParamSDXLRefinerModelSelect = () => {
     });
 
     return data;
-  }, [sdxlModels]);
+  }, [refinerModels]);
 
   // grab the full model entity from the RTK Query cache
   // TODO: maybe we should just store the full model entity in state?
   const selectedModel = useMemo(
     () =>
-      sdxlModels?.entities[`${model?.base_model}/main/${model?.model_name}`] ??
-      null,
-    [sdxlModels?.entities, model]
+      refinerModels?.entities[
+        `${model?.base_model}/main/${model?.model_name}`
+      ] ?? null,
+    [refinerModels?.entities, model]
   );
 
   const handleChangeModel = useCallback(
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
index 8fd62df176..b92dcf03b2 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
@@ -7,6 +7,7 @@ import {
   SCHEDULER_LABEL_MAP,
   SchedulerParam,
 } from 'features/parameters/types/parameterSchemas';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerScheduler } from 'features/sdxl/store/sdxlSlice';
 import { map } from 'lodash-es';
 import { memo, useCallback } from 'react';
@@ -15,7 +16,7 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   stateSelector,
   ({ ui, sdxl }) => {
-    const { refinerScheduler, isRefinerAvailable } = sdxl;
+    const { refinerScheduler } = sdxl;
     const { favoriteSchedulers: enabledSchedulers } = ui;
 
     const data = map(SCHEDULER_LABEL_MAP, (label, name) => ({
@@ -27,7 +28,6 @@ const selector = createSelector(
     })).sort((a, b) => a.label.localeCompare(b.label));
 
     return {
-      isRefinerAvailable,
       refinerScheduler,
       data,
     };
@@ -38,9 +38,8 @@ const selector = createSelector(
 const ParamSDXLRefinerScheduler = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-  const { refinerScheduler, data, isRefinerAvailable } =
-    useAppSelector(selector);
-
+  const { refinerScheduler, data } = useAppSelector(selector);
+  const isRefinerAvailable = useIsRefinerAvailable();
   const handleChange = useCallback(
     (v: string | null) => {
       if (!v) {
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index df4512691e..719dfda949 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -3,17 +3,17 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISlider from 'common/components/IAISlider';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerStart } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, hotkeys }) => {
-    const { refinerStart, isRefinerAvailable } = sdxl;
+    const { refinerStart } = sdxl;
     const { shift } = hotkeys;
 
     return {
-      isRefinerAvailable,
       refinerStart,
       shift,
     };
@@ -22,9 +22,9 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerStart = () => {
-  const { refinerStart, shift, isRefinerAvailable } = useAppSelector(selector);
+  const { refinerStart, shift } = useAppSelector(selector);
   const dispatch = useAppDispatch();
-
+  const isRefinerAvailable = useIsRefinerAvailable();
   const handleChange = useCallback(
     (v: number) => dispatch(setRefinerStart(v)),
     [dispatch]
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
index 07b0f4abfe..2def8aabe7 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -3,8 +3,8 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
-
 import IAISlider from 'common/components/IAISlider';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerSteps } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -12,11 +12,10 @@ import { useTranslation } from 'react-i18next';
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, ui }) => {
-    const { refinerSteps, isRefinerAvailable } = sdxl;
+    const { refinerSteps } = sdxl;
     const { shouldUseSliders } = ui;
 
     return {
-      isRefinerAvailable,
       refinerSteps,
       shouldUseSliders,
     };
@@ -25,8 +24,9 @@ const selector = createSelector(
 );
 
 const ParamSDXLRefinerSteps = () => {
-  const { refinerSteps, shouldUseSliders, isRefinerAvailable } =
-    useAppSelector(selector);
+  const { refinerSteps, shouldUseSliders } = useAppSelector(selector);
+  const isRefinerAvailable = useIsRefinerAvailable();
+
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
index 1f33d8d8a3..b35221f5cf 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
@@ -1,6 +1,7 @@
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISwitch from 'common/components/IAISwitch';
+import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setShouldUseSDXLRefiner } from 'features/sdxl/store/sdxlSlice';
 import { ChangeEvent } from 'react';
 
@@ -8,10 +9,7 @@ export default function ParamUseSDXLRefiner() {
   const shouldUseSDXLRefiner = useAppSelector(
     (state: RootState) => state.sdxl.shouldUseSDXLRefiner
   );
-
-  const isRefinerAvailable = useAppSelector(
-    (state: RootState) => state.sdxl.isRefinerAvailable
-  );
+  const isRefinerAvailable = useIsRefinerAvailable();
 
   const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts b/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts
new file mode 100644
index 0000000000..3a8cd269a4
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts
@@ -0,0 +1,11 @@
+import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
+
+export const useIsRefinerAvailable = () => {
+  const { isRefinerAvailable } = useGetSDXLRefinerModelsQuery(undefined, {
+    selectFromResult: ({ data }) => ({
+      isRefinerAvailable: data ? data.ids.length > 0 : false,
+    }),
+  });
+
+  return isRefinerAvailable;
+};
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index 7250425839..eba6522f9a 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -10,7 +10,6 @@ import { MainModelField } from 'services/api/types';
 type SDXLInitialState = {
   positiveStylePrompt: PositiveStylePromptSDXLParam;
   negativeStylePrompt: NegativeStylePromptSDXLParam;
-  isRefinerAvailable: boolean;
   shouldUseSDXLRefiner: boolean;
   refinerModel: MainModelField | null;
   refinerSteps: number;
@@ -23,7 +22,6 @@ type SDXLInitialState = {
 const sdxlInitialState: SDXLInitialState = {
   positiveStylePrompt: '',
   negativeStylePrompt: '',
-  isRefinerAvailable: false,
   shouldUseSDXLRefiner: false,
   refinerModel: null,
   refinerSteps: 20,
@@ -43,9 +41,6 @@ const sdxlSlice = createSlice({
     setNegativeStylePromptSDXL: (state, action: PayloadAction<string>) => {
       state.negativeStylePrompt = action.payload;
     },
-    setIsRefinerAvailable: (state, action: PayloadAction<boolean>) => {
-      state.isRefinerAvailable = action.payload;
-    },
     setShouldUseSDXLRefiner: (state, action: PayloadAction<boolean>) => {
       state.shouldUseSDXLRefiner = action.payload;
     },
@@ -76,7 +71,6 @@ const sdxlSlice = createSlice({
 export const {
   setPositiveStylePromptSDXL,
   setNegativeStylePromptSDXL,
-  setIsRefinerAvailable,
   setShouldUseSDXLRefiner,
   refinerModelChanged,
   setRefinerSteps,
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index f1ff731d0e..d4490eb7b5 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -148,7 +148,15 @@ const createModelEntities = <T extends AnyModelConfigEntity>(
 export const modelsApi = api.injectEndpoints({
   endpoints: (build) => ({
     getMainModels: build.query<EntityState<MainModelConfigEntity>, void>({
-      query: () => ({ url: 'models/', params: { model_type: 'main' } }),
+      query: () => {
+        const params = {
+          model_type: 'main',
+          base_models: ['sd-1', 'sd-2', 'sdxl'],
+        };
+
+        const query = queryString.stringify(params, { arrayFormat: 'none' });
+        return `models/?${query}`;
+      },
       providesTags: (result, error, arg) => {
         const tags: ApiFullTagDescription[] = [
           { type: 'MainModel', id: LIST_TAG },
@@ -183,7 +191,7 @@ export const modelsApi = api.injectEndpoints({
       {
         query: () => ({
           url: 'models/',
-          params: { model_type: 'main', base_models: 'sdxl-refiner' },
+          params: { model_type: 'main', base_models: ['sdxl-refiner'] },
         }),
         providesTags: (result, error, arg) => {
           const tags: ApiFullTagDescription[] = [

From 00e69d5d122093caf4cf5037fbea381adde34713 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:14:03 +1000
Subject: [PATCH 30/58] feat(ui): adjust seed param styling

---
 .../components/Parameters/MainModel/ParamMainModelSelect.tsx | 2 +-
 .../parameters/components/Parameters/Seed/ParamSeed.tsx      | 5 -----
 .../parameters/components/Parameters/Seed/ParamSeedFull.tsx  | 2 +-
 3 files changed, 2 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 6b17534dd4..372778b2fa 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -88,7 +88,7 @@ const ParamMainModelSelect = () => {
       data={[]}
     />
   ) : (
-    <Flex w="100%" alignItems="center" gap={2}>
+    <Flex w="100%" alignItems="center" gap={3}>
       <IAIMantineSearchableSelect
         tooltip={selectedModel?.description}
         label={t('modelManager.model')}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeed.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeed.tsx
index d5ced67d0e..481fe27964 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeed.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeed.tsx
@@ -32,11 +32,6 @@ export default function ParamSeed() {
       isInvalid={seed < 0 && shouldGenerateVariations}
       onChange={handleChangeSeed}
       value={seed}
-      formControlProps={{
-        display: 'flex',
-        alignItems: 'center',
-        gap: 3, // really this should work with 2 but seems to need to be 3 to match gap 2?
-      }}
     />
   );
 }
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
index 75a5d189ae..a1887ec896 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seed/ParamSeedFull.tsx
@@ -6,7 +6,7 @@ import ParamSeedRandomize from './ParamSeedRandomize';
 
 const ParamSeedFull = () => {
   return (
-    <Flex sx={{ gap: 4, alignItems: 'center' }}>
+    <Flex sx={{ gap: 3, alignItems: 'flex-end' }}>
       <ParamSeed />
       <ParamSeedShuffle />
       <ParamSeedRandomize />

From 016797c8904abe5c76c09ae5440bdc0050e0020a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:15:24 +1000
Subject: [PATCH 31/58] feat(ui): add vaePrecision setting

no UI element for it yet
---
 .../util/graphBuilders/buildLinearSDXLImageToImageGraph.ts  | 3 +++
 .../util/graphBuilders/buildLinearSDXLTextToImageGraph.ts   | 2 ++
 .../web/src/features/parameters/store/generationSlice.ts    | 6 ++++++
 3 files changed, 11 insertions(+)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index c5e8ec8934..f7aacbf18b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -43,6 +43,7 @@ export const buildLinearSDXLImageToImageGraph = (
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
+    vaePrecision,
   } = state.generation;
 
   const {
@@ -114,6 +115,7 @@ export const buildLinearSDXLImageToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
       [SDXL_LATENTS_TO_LATENTS]: {
         type: 'l2l_sdxl',
@@ -130,6 +132,7 @@ export const buildLinearSDXLImageToImageGraph = (
         // image: {
         //   image_name: initialImage.image_name,
         // },
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index d3f1f773bf..82f32275b7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -31,6 +31,7 @@ export const buildLinearSDXLTextToImageGraph = (
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
+    vaePrecision,
   } = state.generation;
 
   const {
@@ -97,6 +98,7 @@ export const buildLinearSDXLTextToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 971558335b..95b7c157bd 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -51,6 +51,7 @@ export interface GenerationState {
   verticalSymmetrySteps: number;
   model: MainModelField | null;
   vae: VaeModelParam | null;
+  vaePrecision: 'fp16' | 'fp32';
   seamlessXAxis: boolean;
   seamlessYAxis: boolean;
   clipSkip: number;
@@ -89,6 +90,7 @@ export const initialGenerationState: GenerationState = {
   verticalSymmetrySteps: 0,
   model: null,
   vae: null,
+  vaePrecision: 'fp32',
   seamlessXAxis: false,
   seamlessYAxis: false,
   clipSkip: 0,
@@ -241,6 +243,9 @@ export const generationSlice = createSlice({
       // null is a valid VAE!
       state.vae = action.payload;
     },
+    vaePrecisionChanged: (state, action: PayloadAction<'fp16' | 'fp32'>) => {
+      state.vaePrecision = action.payload;
+    },
     setClipSkip: (state, action: PayloadAction<number>) => {
       state.clipSkip = action.payload;
     },
@@ -327,6 +332,7 @@ export const {
   shouldUseCpuNoiseChanged,
   setShouldShowAdvancedOptions,
   setAspectRatio,
+  vaePrecisionChanged,
 } = generationSlice.actions;
 
 export default generationSlice.reducer;

From 840205496a5f7250df4bbc405091af4a0213cf36 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:21:09 +1000
Subject: [PATCH 32/58] feat(nodes): fix model load events on sdxl nodes

they need the `context` to be provided to emit socket events
---
 invokeai/app/invocations/compel.py | 16 +++++++++-------
 invokeai/app/invocations/sdxl.py   |  4 ++--
 2 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index fa1b6939d2..6aadbf509d 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -95,7 +95,7 @@ class CompelInvocation(BaseInvocation):
         def _lora_loader():
             for lora in self.clip.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -171,16 +171,16 @@ class CompelInvocation(BaseInvocation):
 class SDXLPromptInvocationBase:
     def run_clip_raw(self, context, clip_field, prompt, get_pooled):
         tokenizer_info = context.services.model_manager.get_model(
-            **clip_field.tokenizer.dict(),
+            **clip_field.tokenizer.dict(), context=context,
         )
         text_encoder_info = context.services.model_manager.get_model(
-            **clip_field.text_encoder.dict(),
+            **clip_field.text_encoder.dict(), context=context,
         )
 
         def _lora_loader():
             for lora in clip_field.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -196,6 +196,7 @@ class SDXLPromptInvocationBase:
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
+                        context=context,
                     ).context.model
                 )
             except ModelNotFoundException:
@@ -240,16 +241,16 @@ class SDXLPromptInvocationBase:
 
     def run_clip_compel(self, context, clip_field, prompt, get_pooled):
         tokenizer_info = context.services.model_manager.get_model(
-            **clip_field.tokenizer.dict(),
+            **clip_field.tokenizer.dict(), context=context,
         )
         text_encoder_info = context.services.model_manager.get_model(
-            **clip_field.text_encoder.dict(),
+            **clip_field.text_encoder.dict(), context=context,
         )
 
         def _lora_loader():
             for lora in clip_field.loras:
                 lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}))
+                    **lora.dict(exclude={"weight"}), context=context)
                 yield (lora_info.context.model, lora.weight)
                 del lora_info
             return
@@ -265,6 +266,7 @@ class SDXLPromptInvocationBase:
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
+                        context=context,
                     ).context.model
                 )
             except ModelNotFoundException:
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index 3a63860053..249e864799 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -295,7 +295,7 @@ class SDXLTextToLatentsInvocation(BaseInvocation):
 
 
         unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict()
+            **self.unet.unet.dict(), context=context
         )
         do_classifier_free_guidance = True
         cross_attention_kwargs = None
@@ -555,7 +555,7 @@ class SDXLLatentsToLatentsInvocation(BaseInvocation):
             del noise
 
         unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict()
+            **self.unet.unet.dict(), context=context,
         )
         do_classifier_free_guidance = True
         cross_attention_kwargs = None

From 61291ea105660e484234e1a5acd4268febb07109 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:22:47 +1000
Subject: [PATCH 33/58] feat: sdxl metadata

- update `CoreMetadata` class & `MetadataAccumulator` with fields for SDXL-specific metadata
- update the linear UI graphs to populate this metadata
---
 invokeai/app/invocations/metadata.py          | 126 +++++++++++++-----
 ...finerGraph.ts => addSDXLRefinerToGraph.ts} |  35 +++--
 .../buildLinearSDXLImageToImageGraph.ts       |  54 +-------
 .../buildLinearSDXLTextToImageGraph.ts        |   4 +-
 .../frontend/web/src/services/api/schema.d.ts |  98 ++++++++++++--
 5 files changed, 212 insertions(+), 105 deletions(-)
 rename invokeai/frontend/web/src/features/nodes/util/graphBuilders/{buildSDXLRefinerGraph.ts => addSDXLRefinerToGraph.ts} (87%)

diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 836ab7d0af..ab02487cdc 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -2,16 +2,19 @@ from typing import Literal, Optional, Union
 
 from pydantic import BaseModel, Field
 
-from invokeai.app.invocations.baseinvocation import (BaseInvocation,
-                                                     BaseInvocationOutput, InvocationConfig,
-                                                     InvocationContext)
+from invokeai.app.invocations.baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    InvocationConfig,
+    InvocationContext,
+)
 from invokeai.app.invocations.controlnet_image_processors import ControlField
-from invokeai.app.invocations.model import (LoRAModelField, MainModelField,
-                                            VAEModelField)
+from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
 
 
 class LoRAMetadataField(BaseModel):
     """LoRA metadata for an image generated in InvokeAI."""
+
     lora: LoRAModelField = Field(description="The LoRA model")
     weight: float = Field(description="The weight of the LoRA model")
 
@@ -19,7 +22,9 @@ class LoRAMetadataField(BaseModel):
 class CoreMetadata(BaseModel):
     """Core generation metadata for an image generated in InvokeAI."""
 
-    generation_mode: str = Field(description="The generation mode that output this image",)
+    generation_mode: str = Field(
+        description="The generation mode that output this image",
+    )
     positive_prompt: str = Field(description="The positive prompt parameter")
     negative_prompt: str = Field(description="The negative prompt parameter")
     width: int = Field(description="The width parameter")
@@ -29,10 +34,20 @@ class CoreMetadata(BaseModel):
     cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
     steps: int = Field(description="The number of steps used for inference")
     scheduler: str = Field(description="The scheduler used for inference")
-    clip_skip: int = Field(description="The number of skipped CLIP layers",)
+    clip_skip: int = Field(
+        description="The number of skipped CLIP layers",
+    )
     model: MainModelField = Field(description="The main model used for inference")
-    controlnets: list[ControlField]= Field(description="The ControlNets used for inference")
+    controlnets: list[ControlField] = Field(
+        description="The ControlNets used for inference"
+    )
     loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference")
+    vae: Union[VAEModelField, None] = Field(
+        default=None,
+        description="The VAE used for decoding, if the main model's default was not used",
+    )
+
+    # Latents-to-Latents
     strength: Union[float, None] = Field(
         default=None,
         description="The strength used for latents-to-latents",
@@ -40,9 +55,34 @@ class CoreMetadata(BaseModel):
     init_image: Union[str, None] = Field(
         default=None, description="The name of the initial image"
     )
-    vae: Union[VAEModelField, None] = Field(
+
+    # SDXL
+    positive_style_prompt: Union[str, None] = Field(
+        default=None, description="The positive style prompt parameter"
+    )
+    negative_style_prompt: Union[str, None] = Field(
+        default=None, description="The negative style prompt parameter"
+    )
+
+    # SDXL Refiner
+    refiner_model: Union[MainModelField, None] = Field(
+        default=None, description="The SDXL Refiner model used"
+    )
+    refiner_cfg_scale: Union[float, None] = Field(
         default=None,
-        description="The VAE used for decoding, if the main model's default was not used",
+        description="The classifier-free guidance scale parameter used for the refiner",
+    )
+    refiner_steps: Union[int, None] = Field(
+        default=None, description="The number of steps used for the refiner"
+    )
+    refiner_scheduler: Union[str, None] = Field(
+        default=None, description="The scheduler used for the refiner"
+    )
+    refiner_aesthetic_store: Union[float, None] = Field(
+        default=None, description="The aesthetic score used for the refiner"
+    )
+    refiner_start: Union[float, None] = Field(
+        default=None, description="The start value used for refiner denoising"
     )
 
 
@@ -71,7 +111,9 @@ class MetadataAccumulatorInvocation(BaseInvocation):
 
     type: Literal["metadata_accumulator"] = "metadata_accumulator"
 
-    generation_mode: str = Field(description="The generation mode that output this image",)
+    generation_mode: str = Field(
+        description="The generation mode that output this image",
+    )
     positive_prompt: str = Field(description="The positive prompt parameter")
     negative_prompt: str = Field(description="The negative prompt parameter")
     width: int = Field(description="The width parameter")
@@ -81,9 +123,13 @@ class MetadataAccumulatorInvocation(BaseInvocation):
     cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
     steps: int = Field(description="The number of steps used for inference")
     scheduler: str = Field(description="The scheduler used for inference")
-    clip_skip: int = Field(description="The number of skipped CLIP layers",)
+    clip_skip: int = Field(
+        description="The number of skipped CLIP layers",
+    )
     model: MainModelField = Field(description="The main model used for inference")
-    controlnets: list[ControlField]= Field(description="The ControlNets used for inference")
+    controlnets: list[ControlField] = Field(
+        description="The ControlNets used for inference"
+    )
     loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference")
     strength: Union[float, None] = Field(
         default=None,
@@ -97,36 +143,44 @@ class MetadataAccumulatorInvocation(BaseInvocation):
         description="The VAE used for decoding, if the main model's default was not used",
     )
 
+    # SDXL
+    positive_style_prompt: Union[str, None] = Field(
+        default=None, description="The positive style prompt parameter"
+    )
+    negative_style_prompt: Union[str, None] = Field(
+        default=None, description="The negative style prompt parameter"
+    )
+
+    # SDXL Refiner
+    refiner_model: Union[MainModelField, None] = Field(
+        default=None, description="The SDXL Refiner model used"
+    )
+    refiner_cfg_scale: Union[float, None] = Field(
+        default=None,
+        description="The classifier-free guidance scale parameter used for the refiner",
+    )
+    refiner_steps: Union[int, None] = Field(
+        default=None, description="The number of steps used for the refiner"
+    )
+    refiner_scheduler: Union[str, None] = Field(
+        default=None, description="The scheduler used for the refiner"
+    )
+    refiner_aesthetic_store: Union[float, None] = Field(
+        default=None, description="The aesthetic score used for the refiner"
+    )
+    refiner_start: Union[float, None] = Field(
+        default=None, description="The start value used for refiner denoising"
+    )
+
     class Config(InvocationConfig):
         schema_extra = {
             "ui": {
                 "title": "Metadata Accumulator",
-                "tags": ["image", "metadata", "generation"]
+                "tags": ["image", "metadata", "generation"],
             },
         }
 
-
     def invoke(self, context: InvocationContext) -> MetadataAccumulatorOutput:
         """Collects and outputs a CoreMetadata object"""
 
-        return MetadataAccumulatorOutput(
-            metadata=CoreMetadata(
-                generation_mode=self.generation_mode,
-                positive_prompt=self.positive_prompt,
-                negative_prompt=self.negative_prompt,
-                width=self.width,
-                height=self.height,
-                seed=self.seed,
-                rand_device=self.rand_device,
-                cfg_scale=self.cfg_scale,
-                steps=self.steps,
-                scheduler=self.scheduler,
-                model=self.model,
-                strength=self.strength,
-                init_image=self.init_image,
-                vae=self.vae,
-                controlnets=self.controlnets,
-                loras=self.loras,
-                clip_skip=self.clip_skip,
-            )
-        )
+        return MetadataAccumulatorOutput(metadata=CoreMetadata(**self.dict()))
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
similarity index 87%
rename from invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
rename to invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index d7535deeed..56a193c81f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildSDXLRefinerGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -5,6 +5,7 @@ import {
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
+  SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
   SDXL_REFINER_LATENTS_TO_LATENTS,
   SDXL_REFINER_MODEL_LOADER,
@@ -35,6 +36,15 @@ export const addSDXLRefinerToGraph = (
     | MetadataAccumulatorInvocation
     | undefined;
 
+  if (metadataAccumulator) {
+    metadataAccumulator.refiner_model = refinerModel;
+    metadataAccumulator.refiner_aesthetic_store = refinerAestheticScore;
+    metadataAccumulator.refiner_cfg_scale = refinerCFGScale;
+    metadataAccumulator.refiner_scheduler = refinerScheduler;
+    metadataAccumulator.refiner_start = refinerStart;
+    metadataAccumulator.refiner_steps = refinerSteps;
+  }
+
   // Unplug SDXL Latents Generation To Latents To Image
   graph.edges = graph.edges.filter(
     (e) =>
@@ -49,6 +59,21 @@ export const addSDXLRefinerToGraph = (
       )
   );
 
+  // connect the VAE back to the i2l, which we just removed in the filter
+  // but only if we are doing l2l
+  if (baseNodeId === SDXL_LATENTS_TO_LATENTS) {
+    graph.edges.push({
+      source: {
+        node_id: SDXL_MODEL_LOADER,
+        field: 'vae',
+      },
+      destination: {
+        node_id: IMAGE_TO_LATENTS,
+        field: 'vae',
+      },
+    });
+  }
+
   graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
     type: 'sdxl_refiner_model_loader',
     id: SDXL_REFINER_MODEL_LOADER,
@@ -76,16 +101,6 @@ export const addSDXLRefinerToGraph = (
   };
 
   graph.edges.push(
-    {
-      source: {
-        node_id: SDXL_MODEL_LOADER,
-        field: 'vae',
-      },
-      destination: {
-        node_id: IMAGE_TO_LATENTS,
-        field: 'vae',
-      },
-    },
     {
       source: {
         node_id: SDXL_REFINER_MODEL_LOADER,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index f7aacbf18b..d84b483df7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -7,9 +7,8 @@ import {
   ImageToLatentsInvocation,
 } from 'services/api/types';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
-import { addSDXLRefinerToGraph } from './buildSDXLRefinerGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import {
-  IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -17,6 +16,7 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
@@ -53,16 +53,6 @@ export const buildLinearSDXLImageToImageGraph = (
     refinerStart,
   } = state.sdxl;
 
-  // TODO: add batch functionality
-  // const {
-  //   isEnabled: isBatchEnabled,
-  //   imageNames: batchImageNames,
-  //   asInitialImage,
-  // } = state.batch;
-
-  // const shouldBatch =
-  //   isBatchEnabled && batchImageNames.length > 0 && asInitialImage;
-
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -88,7 +78,7 @@ export const buildLinearSDXLImageToImageGraph = (
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
-    id: IMAGE_TO_IMAGE_GRAPH,
+    id: SDXL_IMAGE_TO_IMAGE_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
@@ -328,42 +318,6 @@ export const buildLinearSDXLImageToImageGraph = (
     });
   }
 
-  // TODO: add batch functionality
-  // if (isBatchEnabled && asInitialImage && batchImageNames.length > 0) {
-  //   // we are going to connect an iterate up to the init image
-  //   delete (graph.nodes[IMAGE_TO_LATENTS] as ImageToLatentsInvocation).image;
-
-  //   const imageCollection: ImageCollectionInvocation = {
-  //     id: IMAGE_COLLECTION,
-  //     type: 'image_collection',
-  //     images: batchImageNames.map((image_name) => ({ image_name })),
-  //   };
-
-  //   const imageCollectionIterate: IterateInvocation = {
-  //     id: IMAGE_COLLECTION_ITERATE,
-  //     type: 'iterate',
-  //   };
-
-  //   graph.nodes[IMAGE_COLLECTION] = imageCollection;
-  //   graph.nodes[IMAGE_COLLECTION_ITERATE] = imageCollectionIterate;
-
-  //   graph.edges.push({
-  //     source: { node_id: IMAGE_COLLECTION, field: 'collection' },
-  //     destination: {
-  //       node_id: IMAGE_COLLECTION_ITERATE,
-  //       field: 'collection',
-  //     },
-  //   });
-
-  //   graph.edges.push({
-  //     source: { node_id: IMAGE_COLLECTION_ITERATE, field: 'item' },
-  //     destination: {
-  //       node_id: IMAGE_TO_LATENTS,
-  //       field: 'image',
-  //     },
-  //   });
-  // }
-
   // add metadata accumulator, which is only mostly populated - some fields are added later
   graph.nodes[METADATA_ACCUMULATOR] = {
     id: METADATA_ACCUMULATOR,
@@ -385,6 +339,8 @@ export const buildLinearSDXLImageToImageGraph = (
     clip_skip: clipSkip,
     strength,
     init_image: initialImage.imageName,
+    positive_style_prompt: positiveStylePrompt,
+    negative_style_prompt: negativeStylePrompt,
   };
 
   graph.edges.push({
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 82f32275b7..8efcbf8876 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -3,7 +3,7 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
-import { addSDXLRefinerToGraph } from './buildSDXLRefinerGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import {
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -224,6 +224,8 @@ export const buildLinearSDXLTextToImageGraph = (
     controlnets: [],
     loras: [],
     clip_skip: clipSkip,
+    positive_style_prompt: positiveStylePrompt,
+    negative_style_prompt: negativeStylePrompt,
   };
 
   graph.edges.push({
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 0fce960703..5cbf1d9c00 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1014,6 +1014,11 @@ export type components = {
        * @description The LoRAs used for inference
        */
       loras: (components["schemas"]["LoRAMetadataField"])[];
+      /**
+       * Vae 
+       * @description The VAE used for decoding, if the main model's default was not used
+       */
+      vae?: components["schemas"]["VAEModelField"];
       /**
        * Strength 
        * @description The strength used for latents-to-latents
@@ -1025,10 +1030,45 @@ export type components = {
        */
       init_image?: string;
       /**
-       * Vae 
-       * @description The VAE used for decoding, if the main model's default was not used
+       * Positive Style Prompt 
+       * @description The positive style prompt parameter
        */
-      vae?: components["schemas"]["VAEModelField"];
+      positive_style_prompt?: string;
+      /**
+       * Negative Style Prompt 
+       * @description The negative style prompt parameter
+       */
+      negative_style_prompt?: string;
+      /**
+       * Refiner Model 
+       * @description The SDXL Refiner model used
+       */
+      refiner_model?: components["schemas"]["MainModelField"];
+      /**
+       * Refiner Cfg Scale 
+       * @description The classifier-free guidance scale parameter used for the refiner
+       */
+      refiner_cfg_scale?: number;
+      /**
+       * Refiner Steps 
+       * @description The number of steps used for the refiner
+       */
+      refiner_steps?: number;
+      /**
+       * Refiner Scheduler 
+       * @description The scheduler used for the refiner
+       */
+      refiner_scheduler?: string;
+      /**
+       * Refiner Aesthetic Store 
+       * @description The aesthetic score used for the refiner
+       */
+      refiner_aesthetic_store?: number;
+      /**
+       * Refiner Start 
+       * @description The start value used for refiner denoising
+       */
+      refiner_start?: number;
     };
     /**
      * CvInpaintInvocation 
@@ -3268,6 +3308,46 @@ export type components = {
        * @description The VAE used for decoding, if the main model's default was not used
        */
       vae?: components["schemas"]["VAEModelField"];
+      /**
+       * Positive Style Prompt 
+       * @description The positive style prompt parameter
+       */
+      positive_style_prompt?: string;
+      /**
+       * Negative Style Prompt 
+       * @description The negative style prompt parameter
+       */
+      negative_style_prompt?: string;
+      /**
+       * Refiner Model 
+       * @description The SDXL Refiner model used
+       */
+      refiner_model?: components["schemas"]["MainModelField"];
+      /**
+       * Refiner Cfg Scale 
+       * @description The classifier-free guidance scale parameter used for the refiner
+       */
+      refiner_cfg_scale?: number;
+      /**
+       * Refiner Steps 
+       * @description The number of steps used for the refiner
+       */
+      refiner_steps?: number;
+      /**
+       * Refiner Scheduler 
+       * @description The scheduler used for the refiner
+       */
+      refiner_scheduler?: string;
+      /**
+       * Refiner Aesthetic Store 
+       * @description The aesthetic score used for the refiner
+       */
+      refiner_aesthetic_store?: number;
+      /**
+       * Refiner Start 
+       * @description The start value used for refiner denoising
+       */
+      refiner_start?: number;
     };
     /**
      * MetadataAccumulatorOutput 
@@ -5355,6 +5435,12 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
@@ -5367,12 +5453,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;

From e5a660930cc34e86947703b271f626328c2334a5 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:39:40 +1000
Subject: [PATCH 34/58] feat(ui): add zod schemas for precision parameters

---
 .../features/parameters/store/generationSlice.ts   |  5 +++--
 .../features/parameters/types/parameterSchemas.ts  | 14 ++++++++++++++
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 95b7c157bd..a2ddb569dd 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -11,6 +11,7 @@ import {
   MainModelParam,
   NegativePromptParam,
   PositivePromptParam,
+  PrecisionParam,
   SchedulerParam,
   SeedParam,
   StepsParam,
@@ -51,7 +52,7 @@ export interface GenerationState {
   verticalSymmetrySteps: number;
   model: MainModelField | null;
   vae: VaeModelParam | null;
-  vaePrecision: 'fp16' | 'fp32';
+  vaePrecision: PrecisionParam;
   seamlessXAxis: boolean;
   seamlessYAxis: boolean;
   clipSkip: number;
@@ -243,7 +244,7 @@ export const generationSlice = createSlice({
       // null is a valid VAE!
       state.vae = action.payload;
     },
-    vaePrecisionChanged: (state, action: PayloadAction<'fp16' | 'fp32'>) => {
+    vaePrecisionChanged: (state, action: PayloadAction<PrecisionParam>) => {
       state.vaePrecision = action.payload;
     },
     setClipSkip: (state, action: PayloadAction<number>) => {
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index bae683d7fb..64f4665c5f 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -296,6 +296,20 @@ export type StrengthParam = z.infer<typeof zStrength>;
 export const isValidStrength = (val: unknown): val is StrengthParam =>
   zStrength.safeParse(val).success;
 
+/**
+ * Zod schema for a precision parameter
+ */
+export const zPrecision = z.enum(['fp16', 'fp32']);
+/**
+ * Type alias for precision parameter, inferred from its zod schema
+ */
+export type PrecisionParam = z.infer<typeof zPrecision>;
+/**
+ * Validates/type-guards a value as a precision parameter
+ */
+export const isValidPrecision = (val: unknown): val is PrecisionParam =>
+  zPrecision.safeParse(val).success;
+
 // /**
 //  * Zod schema for BaseModelType
 //  */

From 6fa244a343d9c6b6f8737f85543f737e2c4d5dc3 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 00:39:58 +1000
Subject: [PATCH 35/58] feat(ui): add vae precision select

---
 .../buildLinearImageToImageGraph.ts           |  3 ++
 .../buildLinearTextToImageGraph.ts            |  2 +
 .../Core/ParamModelandVAEandScheduler.tsx     | 20 ++++----
 .../Parameters/VAEModel/ParamVAEPrecision.tsx | 46 +++++++++++++++++++
 4 files changed, 61 insertions(+), 10 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index f5f5e670c9..856ed89e5a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -46,6 +46,7 @@ export const buildLinearImageToImageGraph = (
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
+    vaePrecision,
   } = state.generation;
 
   // TODO: add batch functionality
@@ -113,6 +114,7 @@ export const buildLinearImageToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
       [LATENTS_TO_LATENTS]: {
         type: 'l2l',
@@ -129,6 +131,7 @@ export const buildLinearImageToImageGraph = (
         // image: {
         //   image_name: initialImage.image_name,
         // },
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index c8529f95d3..7b36f6b391 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -34,6 +34,7 @@ export const buildLinearTextToImageGraph = (
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
+    vaePrecision,
   } = state.generation;
 
   const use_cpu = shouldUseNoiseSettings
@@ -95,6 +96,7 @@ export const buildLinearTextToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler.tsx
index 74418de1d3..37c5eb30c4 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler.tsx
@@ -4,6 +4,7 @@ import { memo } from 'react';
 import ParamMainModelSelect from '../MainModel/ParamMainModelSelect';
 import ParamVAEModelSelect from '../VAEModel/ParamVAEModelSelect';
 import ParamScheduler from './ParamScheduler';
+import ParamVAEPrecision from '../VAEModel/ParamVAEPrecision';
 
 const ParamModelandVAEandScheduler = () => {
   const isVaeEnabled = useFeatureStatus('vae').isFeatureEnabled;
@@ -13,16 +14,15 @@ const ParamModelandVAEandScheduler = () => {
       <Box w="full">
         <ParamMainModelSelect />
       </Box>
-      <Flex gap={3} w="full">
-        {isVaeEnabled && (
-          <Box w="full">
-            <ParamVAEModelSelect />
-          </Box>
-        )}
-        <Box w="full">
-          <ParamScheduler />
-        </Box>
-      </Flex>
+      <Box w="full">
+        <ParamScheduler />
+      </Box>
+      {isVaeEnabled && (
+        <Flex w="full" gap={3}>
+          <ParamVAEModelSelect />
+          <ParamVAEPrecision />
+        </Flex>
+      )}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
new file mode 100644
index 0000000000..c57cdc1132
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
@@ -0,0 +1,46 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { vaePrecisionChanged } from 'features/parameters/store/generationSlice';
+import { PrecisionParam } from 'features/parameters/types/parameterSchemas';
+import { memo, useCallback } from 'react';
+
+const selector = createSelector(
+  stateSelector,
+  ({ generation }) => {
+    const { vaePrecision } = generation;
+    return { vaePrecision };
+  },
+  defaultSelectorOptions
+);
+
+const DATA = ['fp16', 'fp32'];
+
+const ParamVAEModelSelect = () => {
+  const dispatch = useAppDispatch();
+  const { vaePrecision } = useAppSelector(selector);
+
+  const handleChange = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      dispatch(vaePrecisionChanged(v as PrecisionParam));
+    },
+    [dispatch]
+  );
+
+  return (
+    <IAIMantineSelect
+      label="VAE Precision"
+      value={vaePrecision}
+      data={DATA}
+      onChange={handleChange}
+    />
+  );
+};
+
+export default memo(ParamVAEModelSelect);

From cbcd416b70f6d3ce45ece0538339b2a5365edea7 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 11:04:02 +1000
Subject: [PATCH 36/58] fix(ui): fix refiner missing from model manager

Rolled back the earlier split of the refiner model query.

Now, when you use `useGetMainModelsQuery()`, you must provide it an array of base model types.

They are provided as constants for simplicity:
- ALL_BASE_MODELS
- NON_REFINER_BASE_MODELS
- REFINER_BASE_MODELS

Opted to just use args for the hook instead of wrapping the hook in another hook, we can tidy this up later if desired.
---
 .../listeners/modelsLoaded.ts                 |  8 ++-
 .../fields/ModelInputFieldComponent.tsx       |  5 +-
 .../RefinerModelInputFieldComponent.tsx       |  6 ++-
 .../MainModel/ParamMainModelSelect.tsx        |  5 +-
 .../ParamSDXLRefinerAestheticScore.tsx        |  2 +-
 .../SDXLRefiner/ParamSDXLRefinerCFGScale.tsx  |  2 +-
 .../ParamSDXLRefinerModelSelect.tsx           |  6 ++-
 .../SDXLRefiner/ParamSDXLRefinerScheduler.tsx |  2 +-
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     |  2 +-
 .../SDXLRefiner/ParamSDXLRefinerSteps.tsx     |  2 +-
 .../SDXLRefiner/ParamUseSDXLRefiner.tsx       |  2 +-
 .../sdxl/hooks/useIsRefinerAvailable.ts       | 11 ----
 .../AddModelsPanel/FoundModelsList.tsx        |  3 +-
 .../subpanels/MergeModelsPanel.tsx            |  5 +-
 .../subpanels/ModelManagerPanel.tsx           |  3 +-
 .../subpanels/ModelManagerPanel/ModelList.tsx |  5 +-
 .../web/src/services/api/constants.ts         | 16 ++++++
 .../web/src/services/api/endpoints/models.ts  | 50 +++----------------
 .../api/hooks/useIsRefinerAvailable.ts        | 12 +++++
 19 files changed, 72 insertions(+), 75 deletions(-)
 delete mode 100644 invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts
 create mode 100644 invokeai/frontend/web/src/services/api/constants.ts
 create mode 100644 invokeai/frontend/web/src/services/api/hooks/useIsRefinerAvailable.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index a2c622ee63..1e0b3dbc61 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -19,7 +19,9 @@ import { startAppListening } from '..';
 
 export const addModelsLoadedListener = () => {
   startAppListening({
-    matcher: modelsApi.endpoints.getMainModels.matchFulfilled,
+    predicate: (state, action) =>
+      modelsApi.endpoints.getMainModels.matchFulfilled(action) &&
+      !action.meta.arg.originalArgs.includes('sdxl-refiner'),
     effect: async (action, { getState, dispatch }) => {
       // models loaded, we need to ensure the selected model is available and if not, select the first one
       const log = logger('models');
@@ -64,7 +66,9 @@ export const addModelsLoadedListener = () => {
     },
   });
   startAppListening({
-    matcher: modelsApi.endpoints.getSDXLRefinerModels.matchFulfilled,
+    predicate: (state, action) =>
+      modelsApi.endpoints.getMainModels.matchFulfilled(action) &&
+      action.meta.arg.originalArgs.includes('sdxl-refiner'),
     effect: async (action, { getState, dispatch }) => {
       // models loaded, we need to ensure the selected model is available and if not, select the first one
       const log = logger('models');
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
index 625ce0d5ca..273ba3be51 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
@@ -14,6 +14,7 @@ import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { FieldComponentProps } from './types';
 import { useFeatureStatus } from '../../../system/hooks/useFeatureStatus';
@@ -27,7 +28,9 @@ const ModelInputFieldComponent = (
   const { t } = useTranslation();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
-  const { data: mainModels, isLoading } = useGetMainModelsQuery();
+  const { data: mainModels, isLoading } = useGetMainModelsQuery(
+    NON_REFINER_BASE_MODELS
+  );
 
   const data = useMemo(() => {
     if (!mainModels) {
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
index 1c791c8704..2a7531b59d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
@@ -13,7 +13,8 @@ import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
-import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
+import { REFINER_BASE_MODELS } from 'services/api/constants';
+import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { FieldComponentProps } from './types';
 
 const RefinerModelInputFieldComponent = (
@@ -27,7 +28,8 @@ const RefinerModelInputFieldComponent = (
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const { data: refinerModels, isLoading } = useGetSDXLRefinerModelsQuery();
+  const { data: refinerModels, isLoading } =
+    useGetMainModelsQuery(REFINER_BASE_MODELS);
 
   const data = useMemo(() => {
     if (!refinerModels) {
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 372778b2fa..4f799dc330 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -14,6 +14,7 @@ import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
+import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 
@@ -29,8 +30,10 @@ const ParamMainModelSelect = () => {
 
   const { model } = useAppSelector(selector);
 
-  const { data: mainModels, isLoading } = useGetMainModelsQuery();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
+  const { data: mainModels, isLoading } = useGetMainModelsQuery(
+    NON_REFINER_BASE_MODELS
+  );
 
   const data = useMemo(() => {
     if (!mainModels) {
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
index 8a3f655261..9c9c4b2f89 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
@@ -3,9 +3,9 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISlider from 'common/components/IAISlider';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerAestheticScore } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   [stateSelector],
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
index 4d0a8cef7f..dd678ac0f7 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerCFGScale.tsx
@@ -4,10 +4,10 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerCFGScale } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   [stateSelector],
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 63f72ecacf..4984e74964 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -11,7 +11,8 @@ import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
-import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
+import { REFINER_BASE_MODELS } from 'services/api/constants';
+import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 
 const selector = createSelector(
   stateSelector,
@@ -24,7 +25,8 @@ const ParamSDXLRefinerModelSelect = () => {
 
   const { model } = useAppSelector(selector);
 
-  const { data: refinerModels, isLoading } = useGetSDXLRefinerModelsQuery();
+  const { data: refinerModels, isLoading } =
+    useGetMainModelsQuery(REFINER_BASE_MODELS);
 
   const data = useMemo(() => {
     if (!refinerModels) {
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
index b92dcf03b2..e14eb0b5f8 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerScheduler.tsx
@@ -7,11 +7,11 @@ import {
   SCHEDULER_LABEL_MAP,
   SchedulerParam,
 } from 'features/parameters/types/parameterSchemas';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerScheduler } from 'features/sdxl/store/sdxlSlice';
 import { map } from 'lodash-es';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   stateSelector,
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index 719dfda949..987fb0aed7 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -3,9 +3,9 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISlider from 'common/components/IAISlider';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerStart } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   [stateSelector],
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
index 2def8aabe7..456cbb5d3a 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerSteps.tsx
@@ -4,10 +4,10 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAINumberInput from 'common/components/IAINumberInput';
 import IAISlider from 'common/components/IAISlider';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setRefinerSteps } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   [stateSelector],
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
index b35221f5cf..1649f95e9a 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamUseSDXLRefiner.tsx
@@ -1,9 +1,9 @@
 import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISwitch from 'common/components/IAISwitch';
-import { useIsRefinerAvailable } from 'features/sdxl/hooks/useIsRefinerAvailable';
 import { setShouldUseSDXLRefiner } from 'features/sdxl/store/sdxlSlice';
 import { ChangeEvent } from 'react';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 export default function ParamUseSDXLRefiner() {
   const shouldUseSDXLRefiner = useAppSelector(
diff --git a/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts b/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts
deleted file mode 100644
index 3a8cd269a4..0000000000
--- a/invokeai/frontend/web/src/features/sdxl/hooks/useIsRefinerAvailable.ts
+++ /dev/null
@@ -1,11 +0,0 @@
-import { useGetSDXLRefinerModelsQuery } from 'services/api/endpoints/models';
-
-export const useIsRefinerAvailable = () => {
-  const { isRefinerAvailable } = useGetSDXLRefinerModelsQuery(undefined, {
-    selectFromResult: ({ data }) => ({
-      isRefinerAvailable: data ? data.ids.length > 0 : false,
-    }),
-  });
-
-  return isRefinerAvailable;
-};
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
index 10f297ce07..a44a747438 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/FoundModelsList.tsx
@@ -16,6 +16,7 @@ import {
   useImportMainModelsMutation,
 } from 'services/api/endpoints/models';
 import { setAdvancedAddScanModel } from '../../store/modelManagerSlice';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 
 export default function FoundModelsList() {
   const searchFolder = useAppSelector(
@@ -24,7 +25,7 @@ export default function FoundModelsList() {
   const [nameFilter, setNameFilter] = useState<string>('');
 
   // Get paths of models that are already installed
-  const { data: installedModels } = useGetMainModelsQuery();
+  const { data: installedModels } = useGetMainModelsQuery(ALL_BASE_MODELS);
 
   // Get all model paths from a given directory
   const { foundModels, alreadyInstalled, filteredModels } =
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
index 19ca10e240..4ad8fbaba6 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
@@ -1,5 +1,4 @@
 import { Flex, Radio, RadioGroup, Text, Tooltip } from '@chakra-ui/react';
-import { makeToast } from 'features/system/util/makeToast';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import IAIInput from 'common/components/IAIInput';
@@ -8,9 +7,11 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 import IAISlider from 'common/components/IAISlider';
 import { addToast } from 'features/system/store/systemSlice';
+import { makeToast } from 'features/system/util/makeToast';
 import { pickBy } from 'lodash-es';
 import { useMemo, useState } from 'react';
 import { useTranslation } from 'react-i18next';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 import {
   useGetMainModelsQuery,
   useMergeMainModelsMutation,
@@ -32,7 +33,7 @@ export default function MergeModelsPanel() {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
 
-  const { data } = useGetMainModelsQuery();
+  const { data } = useGetMainModelsQuery(ALL_BASE_MODELS);
 
   const [mergeModels, { isLoading }] = useMergeMainModelsMutation();
 
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel.tsx
index f49294cfb0..87eb918564 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel.tsx
@@ -8,10 +8,11 @@ import {
 import CheckpointModelEdit from './ModelManagerPanel/CheckpointModelEdit';
 import DiffusersModelEdit from './ModelManagerPanel/DiffusersModelEdit';
 import ModelList from './ModelManagerPanel/ModelList';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 
 export default function ModelManagerPanel() {
   const [selectedModelId, setSelectedModelId] = useState<string>();
-  const { model } = useGetMainModelsQuery(undefined, {
+  const { model } = useGetMainModelsQuery(ALL_BASE_MODELS, {
     selectFromResult: ({ data }) => ({
       model: selectedModelId ? data?.entities[selectedModelId] : undefined,
     }),
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
index 722bd83b6e..f3d0eae495 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
@@ -11,6 +11,7 @@ import {
   useGetMainModelsQuery,
 } from 'services/api/endpoints/models';
 import ModelListItem from './ModelListItem';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 
 type ModelListProps = {
   selectedModelId: string | undefined;
@@ -26,13 +27,13 @@ const ModelList = (props: ModelListProps) => {
   const [modelFormatFilter, setModelFormatFilter] =
     useState<ModelFormat>('images');
 
-  const { filteredDiffusersModels } = useGetMainModelsQuery(undefined, {
+  const { filteredDiffusersModels } = useGetMainModelsQuery(ALL_BASE_MODELS, {
     selectFromResult: ({ data }) => ({
       filteredDiffusersModels: modelsFilter(data, 'diffusers', nameFilter),
     }),
   });
 
-  const { filteredCheckpointModels } = useGetMainModelsQuery(undefined, {
+  const { filteredCheckpointModels } = useGetMainModelsQuery(ALL_BASE_MODELS, {
     selectFromResult: ({ data }) => ({
       filteredCheckpointModels: modelsFilter(data, 'checkpoint', nameFilter),
     }),
diff --git a/invokeai/frontend/web/src/services/api/constants.ts b/invokeai/frontend/web/src/services/api/constants.ts
new file mode 100644
index 0000000000..8bf35d0198
--- /dev/null
+++ b/invokeai/frontend/web/src/services/api/constants.ts
@@ -0,0 +1,16 @@
+import { BaseModelType } from './types';
+
+export const ALL_BASE_MODELS: BaseModelType[] = [
+  'sd-1',
+  'sd-2',
+  'sdxl',
+  'sdxl-refiner',
+];
+
+export const NON_REFINER_BASE_MODELS: BaseModelType[] = [
+  'sd-1',
+  'sd-2',
+  'sdxl',
+];
+
+export const REFINER_BASE_MODELS: BaseModelType[] = ['sdxl-refiner'];
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index d4490eb7b5..3d0013a62c 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -107,9 +107,6 @@ type SearchFolderArg = operations['search_for_models']['parameters']['query'];
 const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
-const sdxlRefinerModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
-  sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
-});
 const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
@@ -147,11 +144,14 @@ const createModelEntities = <T extends AnyModelConfigEntity>(
 
 export const modelsApi = api.injectEndpoints({
   endpoints: (build) => ({
-    getMainModels: build.query<EntityState<MainModelConfigEntity>, void>({
-      query: () => {
+    getMainModels: build.query<
+      EntityState<MainModelConfigEntity>,
+      BaseModelType[]
+    >({
+      query: (base_models) => {
         const params = {
           model_type: 'main',
-          base_models: ['sd-1', 'sd-2', 'sdxl'],
+          base_models,
         };
 
         const query = queryString.stringify(params, { arrayFormat: 'none' });
@@ -187,43 +187,6 @@ export const modelsApi = api.injectEndpoints({
         );
       },
     }),
-    getSDXLRefinerModels: build.query<EntityState<MainModelConfigEntity>, void>(
-      {
-        query: () => ({
-          url: 'models/',
-          params: { model_type: 'main', base_models: ['sdxl-refiner'] },
-        }),
-        providesTags: (result, error, arg) => {
-          const tags: ApiFullTagDescription[] = [
-            { type: 'SDXLRefinerModel', id: LIST_TAG },
-          ];
-
-          if (result) {
-            tags.push(
-              ...result.ids.map((id) => ({
-                type: 'SDXLRefinerModel' as const,
-                id,
-              }))
-            );
-          }
-
-          return tags;
-        },
-        transformResponse: (
-          response: { models: MainModelConfig[] },
-          meta,
-          arg
-        ) => {
-          const entities = createModelEntities<MainModelConfigEntity>(
-            response.models
-          );
-          return sdxlRefinerModelsAdapter.setAll(
-            sdxlRefinerModelsAdapter.getInitialState(),
-            entities
-          );
-        },
-      }
-    ),
     updateMainModels: build.mutation<
       UpdateMainModelResponse,
       UpdateMainModelArg
@@ -494,7 +457,6 @@ export const modelsApi = api.injectEndpoints({
 
 export const {
   useGetMainModelsQuery,
-  useGetSDXLRefinerModelsQuery,
   useGetControlNetModelsQuery,
   useGetLoRAModelsQuery,
   useGetTextualInversionModelsQuery,
diff --git a/invokeai/frontend/web/src/services/api/hooks/useIsRefinerAvailable.ts b/invokeai/frontend/web/src/services/api/hooks/useIsRefinerAvailable.ts
new file mode 100644
index 0000000000..4cb4891be4
--- /dev/null
+++ b/invokeai/frontend/web/src/services/api/hooks/useIsRefinerAvailable.ts
@@ -0,0 +1,12 @@
+import { REFINER_BASE_MODELS } from 'services/api/constants';
+import { useGetMainModelsQuery } from 'services/api/endpoints/models';
+
+export const useIsRefinerAvailable = () => {
+  const { isRefinerAvailable } = useGetMainModelsQuery(REFINER_BASE_MODELS, {
+    selectFromResult: ({ data }) => ({
+      isRefinerAvailable: data ? data.ids.length > 0 : false,
+    }),
+  });
+
+  return isRefinerAvailable;
+};

From 4fe889bbf8f1354d68a6f8c615c1eda85fa57463 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 26 Jul 2023 13:39:51 +1200
Subject: [PATCH 37/58] fix: Possible fix to image to image / refiner setting
 sync

The main goal is to avoid noisy output no matter what the slider values are.
---
 .../nodes/util/graphBuilders/addSDXLRefinerToGraph.ts    | 1 +
 .../graphBuilders/buildLinearSDXLImageToImageGraph.ts    | 9 ++++++---
 .../components/SDXLRefiner/ParamSDXLRefinerStart.tsx     | 2 +-
 3 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 56a193c81f..c0d96105b5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -98,6 +98,7 @@ export const addSDXLRefinerToGraph = (
     steps: refinerSteps / (1 - refinerStart),
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
+    denoising_end: 1,
   };
 
   graph.edges.push(
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index d84b483df7..1465e5e606 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -36,10 +36,10 @@ export const buildLinearSDXLImageToImageGraph = (
     scheduler,
     steps,
     initialImage,
-    img2imgStrength: strength,
     shouldFitToWidthHeight,
     width,
     height,
+    img2imgStrength: strength,
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
@@ -113,7 +113,10 @@ export const buildLinearSDXLImageToImageGraph = (
         cfg_scale,
         scheduler,
         steps,
-        denoising_start: shouldUseSDXLRefiner ? refinerStart : 1 - strength,
+        denoising_start: shouldUseSDXLRefiner
+          ? Math.min(refinerStart, 1 - strength)
+          : 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -337,7 +340,7 @@ export const buildLinearSDXLImageToImageGraph = (
     controlnets: [],
     loras: [],
     clip_skip: clipSkip,
-    strength,
+    strength: strength,
     init_image: initialImage.imageName,
     positive_style_prompt: positiveStylePrompt,
     negative_style_prompt: negativeStylePrompt,
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index 987fb0aed7..83860cd6ab 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -38,7 +38,7 @@ const ParamSDXLRefinerStart = () => {
   return (
     <IAISlider
       label="Refiner Start"
-      step={shift ? 0.1 : 0.01}
+      step={shift ? 0.05 : 0.01}
       min={0.01}
       max={1}
       onChange={handleChange}

From 59c2556e6b64dd92285eb6233f857cfba3027feb Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 26 Jul 2023 14:43:30 +1200
Subject: [PATCH 38/58] feat: Move SDXL Image Denoising to own component

---
 .../buildLinearSDXLImageToImageGraph.ts       |  2 +-
 .../ParamSDXLImg2ImgDenoisingStrength.tsx     | 54 +++++++++++++
 .../SDXLImageToImageTabCoreParameters.tsx     | 78 +++++++++++++++++++
 .../SDXLImageToImageTabParameters.tsx         |  4 +-
 .../SDXLRefiner/ParamSDXLRefinerStart.tsx     | 13 ++--
 .../web/src/features/sdxl/store/sdxlSlice.ts  |  6 ++
 6 files changed, 146 insertions(+), 11 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 1465e5e606..e80821e060 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -39,7 +39,6 @@ export const buildLinearSDXLImageToImageGraph = (
     shouldFitToWidthHeight,
     width,
     height,
-    img2imgStrength: strength,
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
@@ -51,6 +50,7 @@ export const buildLinearSDXLImageToImageGraph = (
     negativeStylePrompt,
     shouldUseSDXLRefiner,
     refinerStart,
+    sdxlImg2ImgDenoisingStrength: strength,
   } = state.sdxl;
 
   /**
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
new file mode 100644
index 0000000000..ff9750dbeb
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -0,0 +1,54 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider from 'common/components/IAISlider';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { setSDXLImg2ImgDenoisingStrength } from '../store/sdxlSlice';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl }) => {
+    const { sdxlImg2ImgDenoisingStrength } = sdxl;
+
+    return {
+      sdxlImg2ImgDenoisingStrength,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLImg2ImgDenoisingStrength = () => {
+  const { sdxlImg2ImgDenoisingStrength } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleChange = useCallback(
+    (v: number) => dispatch(setSDXLImg2ImgDenoisingStrength(v)),
+    [dispatch]
+  );
+
+  const handleReset = useCallback(() => {
+    dispatch(setSDXLImg2ImgDenoisingStrength(0.7));
+  }, [dispatch]);
+
+  return (
+    <IAISlider
+      label={`${t('parameters.denoisingStrength')}`}
+      step={0.01}
+      min={0.01}
+      max={0.99}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={sdxlImg2ImgDenoisingStrength}
+      isInteger={false}
+      withInput
+      withSliderMarks
+      withReset
+      sliderNumberInputProps={{ max: 0.99 }}
+    />
+  );
+};
+
+export default memo(ParamSDXLImg2ImgDenoisingStrength);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx
new file mode 100644
index 0000000000..4d7c919655
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx
@@ -0,0 +1,78 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAICollapse from 'common/components/IAICollapse';
+import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale';
+import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations';
+import ParamModelandVAEandScheduler from 'features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler';
+import ParamSize from 'features/parameters/components/Parameters/Core/ParamSize';
+import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps';
+import ImageToImageFit from 'features/parameters/components/Parameters/ImageToImage/ImageToImageFit';
+import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
+import { generationSelector } from 'features/parameters/store/generationSelectors';
+import { uiSelector } from 'features/ui/store/uiSelectors';
+import { memo } from 'react';
+import ParamSDXLImg2ImgDenoisingStrength from './ParamSDXLImg2ImgDenoisingStrength';
+
+const selector = createSelector(
+  [uiSelector, generationSelector],
+  (ui, generation) => {
+    const { shouldUseSliders } = ui;
+    const { shouldRandomizeSeed } = generation;
+
+    const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined;
+
+    return { shouldUseSliders, activeLabel };
+  },
+  defaultSelectorOptions
+);
+
+const SDXLImageToImageTabCoreParameters = () => {
+  const { shouldUseSliders, activeLabel } = useAppSelector(selector);
+
+  return (
+    <IAICollapse
+      label={'General'}
+      activeLabel={activeLabel}
+      defaultIsOpen={true}
+    >
+      <Flex
+        sx={{
+          flexDirection: 'column',
+          gap: 3,
+        }}
+      >
+        {shouldUseSliders ? (
+          <>
+            <ParamIterations />
+            <ParamSteps />
+            <ParamCFGScale />
+            <ParamModelandVAEandScheduler />
+            <Box pt={2}>
+              <ParamSeedFull />
+            </Box>
+            <ParamSize />
+          </>
+        ) : (
+          <>
+            <Flex gap={3}>
+              <ParamIterations />
+              <ParamSteps />
+              <ParamCFGScale />
+            </Flex>
+            <ParamModelandVAEandScheduler />
+            <Box pt={2}>
+              <ParamSeedFull />
+            </Box>
+            <ParamSize />
+          </>
+        )}
+        <ParamSDXLImg2ImgDenoisingStrength />
+        <ImageToImageFit />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default memo(SDXLImageToImageTabCoreParameters);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index a92e7a2fd0..778116eefe 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -4,10 +4,10 @@ import ParamPositiveConditioning from 'features/parameters/components/Parameters
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 // import ParamVariationCollapse from 'features/parameters/components/Parameters/Variations/ParamVariationCollapse';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
-import ImageToImageTabCoreParameters from 'features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters';
 import ParamSDXLNegativeStyleConditioning from './ParamSDXLNegativeStyleConditioning';
 import ParamSDXLPositiveStyleConditioning from './ParamSDXLPositiveStyleConditioning';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
+import SDXLImageToImageTabCoreParameters from './SDXLImageToImageTabCoreParameters';
 
 const SDXLImageToImageTabParameters = () => {
   return (
@@ -17,7 +17,7 @@ const SDXLImageToImageTabParameters = () => {
       <ParamNegativeConditioning />
       <ParamSDXLNegativeStyleConditioning />
       <ProcessButtons />
-      <ImageToImageTabCoreParameters />
+      <SDXLImageToImageTabCoreParameters />
       <ParamSDXLRefinerCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index 83860cd6ab..fcf5b733a2 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -9,20 +9,17 @@ import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable'
 
 const selector = createSelector(
   [stateSelector],
-  ({ sdxl, hotkeys }) => {
+  ({ sdxl }) => {
     const { refinerStart } = sdxl;
-    const { shift } = hotkeys;
-
     return {
       refinerStart,
-      shift,
     };
   },
   defaultSelectorOptions
 );
 
 const ParamSDXLRefinerStart = () => {
-  const { refinerStart, shift } = useAppSelector(selector);
+  const { refinerStart } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const isRefinerAvailable = useIsRefinerAvailable();
   const handleChange = useCallback(
@@ -38,13 +35,13 @@ const ParamSDXLRefinerStart = () => {
   return (
     <IAISlider
       label="Refiner Start"
-      step={shift ? 0.05 : 0.01}
+      step={0.01}
       min={0.01}
-      max={1}
+      max={0.99}
       onChange={handleChange}
       handleReset={handleReset}
       value={refinerStart}
-      sliderNumberInputProps={{ max: 1 }}
+      sliderNumberInputProps={{ max: 0.99 }}
       withInput
       withReset
       withSliderMarks
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index eba6522f9a..16bb806029 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -11,6 +11,7 @@ type SDXLInitialState = {
   positiveStylePrompt: PositiveStylePromptSDXLParam;
   negativeStylePrompt: NegativeStylePromptSDXLParam;
   shouldUseSDXLRefiner: boolean;
+  sdxlImg2ImgDenoisingStrength: number;
   refinerModel: MainModelField | null;
   refinerSteps: number;
   refinerCFGScale: number;
@@ -23,6 +24,7 @@ const sdxlInitialState: SDXLInitialState = {
   positiveStylePrompt: '',
   negativeStylePrompt: '',
   shouldUseSDXLRefiner: false,
+  sdxlImg2ImgDenoisingStrength: 0.7,
   refinerModel: null,
   refinerSteps: 20,
   refinerCFGScale: 7.5,
@@ -44,6 +46,9 @@ const sdxlSlice = createSlice({
     setShouldUseSDXLRefiner: (state, action: PayloadAction<boolean>) => {
       state.shouldUseSDXLRefiner = action.payload;
     },
+    setSDXLImg2ImgDenoisingStrength: (state, action: PayloadAction<number>) => {
+      state.sdxlImg2ImgDenoisingStrength = action.payload;
+    },
     refinerModelChanged: (
       state,
       action: PayloadAction<MainModelParam | null>
@@ -72,6 +77,7 @@ export const {
   setPositiveStylePromptSDXL,
   setNegativeStylePromptSDXL,
   setShouldUseSDXLRefiner,
+  setSDXLImg2ImgDenoisingStrength,
   refinerModelChanged,
   setRefinerSteps,
   setRefinerCFGScale,

From 75b05074341f36215180f3238a0cabfd3b60063d Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 13:20:20 +1000
Subject: [PATCH 39/58] feat(nodes): change denoising start/end min/max to 0/1

---
 invokeai/app/invocations/sdxl.py                            | 6 +++---
 .../sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx   | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index 249e864799..3b4d3a9d86 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -463,8 +463,8 @@ class SDXLLatentsToLatentsInvocation(BaseInvocation):
     unet: UNetField = Field(default=None, description="UNet submodel")
     latents: Optional[LatentsField] = Field(description="Initial latents")
 
-    denoising_start: float = Field(default=0.0, ge=0, lt=1, description="")
-    denoising_end: float = Field(default=1.0, gt=0, le=1, description="")
+    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
+    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
 
     #control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
     #seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
@@ -549,7 +549,7 @@ class SDXLLatentsToLatentsInvocation(BaseInvocation):
         num_inference_steps = num_inference_steps - t_start
 
         # apply noise(if provided)
-        if self.noise is not None:
+        if self.noise is not None and timesteps.shape[0] > 0:
             noise = context.services.latents.get(self.noise.latents_name)
             latents = scheduler.add_noise(latents, noise, timesteps[:1])
             del noise
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index ff9750dbeb..c448e0ba8e 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -37,8 +37,8 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
     <IAISlider
       label={`${t('parameters.denoisingStrength')}`}
       step={0.01}
-      min={0.01}
-      max={0.99}
+      min={0}
+      max={1}
       onChange={handleChange}
       handleReset={handleReset}
       value={sdxlImg2ImgDenoisingStrength}

From a6e544ebd5cf22eec06f0295c56183638962d09a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 13:36:39 +1000
Subject: [PATCH 40/58] fix(ui): fix refiner steps calculation for edge case of
 start = 1

---
 .../nodes/util/graphBuilders/addSDXLRefinerToGraph.ts        | 2 +-
 .../sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx    | 1 -
 .../sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx    | 5 ++---
 3 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index c0d96105b5..f5fdeb6e84 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -95,7 +95,7 @@ export const addSDXLRefinerToGraph = (
     type: 'l2l_sdxl',
     id: SDXL_REFINER_LATENTS_TO_LATENTS,
     cfg_scale: refinerCFGScale,
-    steps: refinerSteps / (1 - refinerStart),
+    steps: refinerStart === 1 ? 1000 : refinerSteps / (1 - refinerStart),
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
     denoising_end: 1,
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
index c448e0ba8e..52d7567339 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx
@@ -46,7 +46,6 @@ const ParamSDXLImg2ImgDenoisingStrength = () => {
       withInput
       withSliderMarks
       withReset
-      sliderNumberInputProps={{ max: 0.99 }}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index fcf5b733a2..a98259203c 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -36,12 +36,11 @@ const ParamSDXLRefinerStart = () => {
     <IAISlider
       label="Refiner Start"
       step={0.01}
-      min={0.01}
-      max={0.99}
+      min={0}
+      max={1}
       onChange={handleChange}
       handleReset={handleReset}
       value={refinerStart}
-      sliderNumberInputProps={{ max: 0.99 }}
       withInput
       withReset
       withSliderMarks

From fdbab5ffa99940f94a47946d142dde90d9dad934 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 13:44:18 +1000
Subject: [PATCH 41/58] feat(ui): hide sync models button if feature is
 disabled

---
 .../fields/RefinerModelInputFieldComponent.tsx        | 11 +++++++----
 .../SDXLRefiner/ParamSDXLRefinerModelSelect.tsx       | 10 +++++++---
 2 files changed, 14 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
index 2a7531b59d..28c6567e8d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
@@ -16,6 +16,7 @@ import { useTranslation } from 'react-i18next';
 import { REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { FieldComponentProps } from './types';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 
 const RefinerModelInputFieldComponent = (
   props: FieldComponentProps<
@@ -27,7 +28,7 @@ const RefinerModelInputFieldComponent = (
 
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-
+  const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
   const { data: refinerModels, isLoading } =
     useGetMainModelsQuery(REFINER_BASE_MODELS);
 
@@ -107,9 +108,11 @@ const RefinerModelInputFieldComponent = (
         disabled={data.length === 0}
         onChange={handleChangeModel}
       />
-      <Box mt={7}>
-        <SyncModelsButton iconMode />
-      </Box>
+      {isSyncModelEnabled && (
+        <Box mt={7}>
+          <SyncModelsButton iconMode />
+        </Box>
+      )}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index 4984e74964..cae40bbff3 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -8,6 +8,7 @@ import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSe
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
@@ -22,6 +23,7 @@ const selector = createSelector(
 
 const ParamSDXLRefinerModelSelect = () => {
   const dispatch = useAppDispatch();
+  const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
   const { model } = useAppSelector(selector);
 
@@ -97,9 +99,11 @@ const ParamSDXLRefinerModelSelect = () => {
         onChange={handleChangeModel}
         w="100%"
       />
-      <Box mt={7}>
-        <SyncModelsButton iconMode />
-      </Box>
+      {isSyncModelEnabled && (
+        <Box mt={7}>
+          <SyncModelsButton iconMode />
+        </Box>
+      )}
     </Flex>
   );
 };

From c5389b3298190274941823f9357119337a348afb Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 13:50:34 +1000
Subject: [PATCH 42/58] fix(ui): fix refiner steps math again

---
 .../features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index f5fdeb6e84..c47c7be8b4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -95,7 +95,7 @@ export const addSDXLRefinerToGraph = (
     type: 'l2l_sdxl',
     id: SDXL_REFINER_LATENTS_TO_LATENTS,
     cfg_scale: refinerCFGScale,
-    steps: refinerStart === 1 ? 1000 : refinerSteps / (1 - refinerStart),
+    steps: refinerSteps / (1 - Math.min(refinerStart, 0.99)),
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
     denoising_end: 1,

From 1c01a31ee85b4e33010f11902e4869132fe22210 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 14:14:30 +1000
Subject: [PATCH 43/58] feat(ui): setActiveTab only works with tab names

---
 .../src/features/ui/components/InvokeTabs.tsx   | 17 +++++++++++++----
 .../web/src/features/ui/store/uiSlice.ts        |  2 +-
 2 files changed, 14 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
index 6c683470e7..26d06adfb3 100644
--- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
@@ -16,7 +16,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale';
 import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent';
 import { configSelector } from 'features/system/store/configSelectors';
-import { InvokeTabName } from 'features/ui/store/tabMap';
+import { InvokeTabName, tabMap } from 'features/ui/store/tabMap';
 import { setActiveTab, togglePanels } from 'features/ui/store/uiSlice';
 import { ResourceKey } from 'i18next';
 import { isEqual } from 'lodash-es';
@@ -172,13 +172,22 @@ const InvokeTabs = () => {
   const { ref: galleryPanelRef, minSizePct: galleryMinSizePct } =
     useMinimumPanelSize(MIN_GALLERY_WIDTH, DEFAULT_GALLERY_PCT, 'app');
 
+  const handleTabChange = useCallback(
+    (index: number) => {
+      const activeTabName = tabMap[index];
+      if (!activeTabName) {
+        return;
+      }
+      dispatch(setActiveTab(activeTabName));
+    },
+    [dispatch]
+  );
+
   return (
     <Tabs
       defaultIndex={activeTab}
       index={activeTab}
-      onChange={(index: number) => {
-        dispatch(setActiveTab(index));
-      }}
+      onChange={handleTabChange}
       sx={{
         flexGrow: 1,
         gap: 4,
diff --git a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
index 81243aa03f..e487f08067 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
@@ -26,7 +26,7 @@ export const uiSlice = createSlice({
   name: 'ui',
   initialState: initialUIState,
   reducers: {
-    setActiveTab: (state, action: PayloadAction<number | InvokeTabName>) => {
+    setActiveTab: (state, action: PayloadAction<InvokeTabName>) => {
       setActiveTabReducer(state, action.payload);
     },
     setShouldPinParametersPanel: (state, action: PayloadAction<boolean>) => {

From 934f9afd7e2199b22f7d8984a22b1f59206895d9 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 26 Jul 2023 16:43:03 +1200
Subject: [PATCH 44/58] feat(ui): Do not show SDXL Models in Canvas

---
 .../middleware/listenerMiddleware/index.ts    |  8 ++-
 .../listeners/tabChanged.ts                   | 56 +++++++++++++++++++
 .../MainModel/ParamMainModelSelect.tsx        | 10 +++-
 3 files changed, 70 insertions(+), 4 deletions(-)
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index 5adc4f5e5e..f06c324bc6 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -65,18 +65,19 @@ import { addGeneratorProgressEventListener as addGeneratorProgressListener } fro
 import { addGraphExecutionStateCompleteEventListener as addGraphExecutionStateCompleteListener } from './listeners/socketio/socketGraphExecutionStateComplete';
 import { addInvocationCompleteEventListener as addInvocationCompleteListener } from './listeners/socketio/socketInvocationComplete';
 import { addInvocationErrorEventListener as addInvocationErrorListener } from './listeners/socketio/socketInvocationError';
+import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError';
 import { addInvocationStartedEventListener as addInvocationStartedListener } from './listeners/socketio/socketInvocationStarted';
 import { addModelLoadEventListener } from './listeners/socketio/socketModelLoad';
+import { addSessionRetrievalErrorEventListener } from './listeners/socketio/socketSessionRetrievalError';
 import { addSocketSubscribedEventListener as addSocketSubscribedListener } from './listeners/socketio/socketSubscribed';
 import { addSocketUnsubscribedEventListener as addSocketUnsubscribedListener } from './listeners/socketio/socketUnsubscribed';
 import { addStagingAreaImageSavedListener } from './listeners/stagingAreaImageSaved';
+import { addTabChangedListener } from './listeners/tabChanged';
 import { addUpscaleRequestedListener } from './listeners/upscaleRequested';
 import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas';
 import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage';
 import { addUserInvokedNodesListener } from './listeners/userInvokedNodes';
 import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage';
-import { addSessionRetrievalErrorEventListener } from './listeners/socketio/socketSessionRetrievalError';
-import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError';
 
 export const listenerMiddleware = createListenerMiddleware();
 
@@ -201,3 +202,6 @@ addFirstListImagesListener();
 
 // Ad-hoc upscale workflwo
 addUpscaleRequestedListener();
+
+// Tab Change
+addTabChangedListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
new file mode 100644
index 0000000000..578241573c
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
@@ -0,0 +1,56 @@
+import { modelChanged } from 'features/parameters/store/generationSlice';
+import { setActiveTab } from 'features/ui/store/uiSlice';
+import { forEach } from 'lodash-es';
+import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
+import {
+  MainModelConfigEntity,
+  modelsApi,
+} from 'services/api/endpoints/models';
+import { startAppListening } from '..';
+
+export const addTabChangedListener = () => {
+  startAppListening({
+    actionCreator: setActiveTab,
+    effect: (action, { getState, dispatch }) => {
+      const activeTabName = action.payload;
+      if (activeTabName === 'unifiedCanvas') {
+        // grab the models from RTK Query cache
+        const { data } = modelsApi.endpoints.getMainModels.select(
+          NON_REFINER_BASE_MODELS
+        )(getState());
+
+        if (!data) {
+          // no models yet, so we can't do anything
+          dispatch(modelChanged(null));
+          return;
+        }
+
+        // need to filter out all the invalid canvas models (currently, this is just sdxl)
+        const validCanvasModels: MainModelConfigEntity[] = [];
+
+        forEach(data.entities, (entity) => {
+          if (!entity) {
+            return;
+          }
+          if (['sd-1', 'sd-2'].includes(entity.base_model)) {
+            validCanvasModels.push(entity);
+          }
+        });
+
+        // this could still be undefined even tho TS doesn't say so
+        const firstValidCanvasModel = validCanvasModels[0];
+
+        if (!firstValidCanvasModel) {
+          // uh oh, we have no models that are valid for canvas
+          dispatch(modelChanged(null));
+          return;
+        }
+
+        // only store the model name and base model in redux
+        const { base_model, model_name } = firstValidCanvasModel;
+
+        dispatch(modelChanged({ base_model, model_name }));
+      }
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 4f799dc330..d380da60bf 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -13,6 +13,7 @@ import { modelSelected } from 'features/parameters/store/actions';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { forEach } from 'lodash-es';
 import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
@@ -35,6 +36,8 @@ const ParamMainModelSelect = () => {
     NON_REFINER_BASE_MODELS
   );
 
+  const activeTabName = useAppSelector(activeTabNameSelector);
+
   const data = useMemo(() => {
     if (!mainModels) {
       return [];
@@ -43,7 +46,10 @@ const ParamMainModelSelect = () => {
     const data: SelectItem[] = [];
 
     forEach(mainModels.entities, (model, id) => {
-      if (!model) {
+      if (
+        !model ||
+        (activeTabName === 'unifiedCanvas' && model.base_model === 'sdxl')
+      ) {
         return;
       }
 
@@ -55,7 +61,7 @@ const ParamMainModelSelect = () => {
     });
 
     return data;
-  }, [mainModels]);
+  }, [mainModels, activeTabName]);
 
   // grab the full model entity from the RTK Query cache
   // TODO: maybe we should just store the full model entity in state?

From de65b82569a995333587b5136dadabd21eec5797 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 26 Jul 2023 16:51:58 +1200
Subject: [PATCH 45/58] chore: Fix lint errors

---
 .../web/src/features/nodes/util/fieldTemplateBuilders.ts         | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index a116ac4c0a..83692533f7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -23,7 +23,6 @@ import {
   ModelInputFieldTemplate,
   OutputFieldTemplate,
   RefinerModelInputFieldTemplate,
-  RefinerModelInputFieldValue,
   StringInputFieldTemplate,
   TypeHints,
   UNetInputFieldTemplate,

From 676051edb9b66058c3b5b08ec169f9c7f89ae576 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 14:56:51 +1000
Subject: [PATCH 46/58] fix(ui): fix missing args for model queries

---
 .../listeners/socketio/socketConnected.ts             | 11 ++++++++++-
 .../web/src/common/hooks/useIsReadyToInvoke.ts        |  3 ++-
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
index ae0f049ae7..ec310eac4c 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
@@ -3,6 +3,11 @@ import { modelsApi } from 'services/api/endpoints/models';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { appSocketConnected, socketConnected } from 'services/events/actions';
 import { startAppListening } from '../..';
+import {
+  ALL_BASE_MODELS,
+  NON_REFINER_BASE_MODELS,
+  REFINER_BASE_MODELS,
+} from 'services/api/constants';
 
 export const addSocketConnectedEventListener = () => {
   startAppListening({
@@ -24,7 +29,11 @@ export const addSocketConnectedEventListener = () => {
       dispatch(appSocketConnected(action.payload));
 
       // update all server state
-      dispatch(modelsApi.endpoints.getMainModels.initiate());
+      dispatch(modelsApi.endpoints.getMainModels.initiate(REFINER_BASE_MODELS));
+      dispatch(
+        modelsApi.endpoints.getMainModels.initiate(NON_REFINER_BASE_MODELS)
+      );
+      dispatch(modelsApi.endpoints.getMainModels.initiate(ALL_BASE_MODELS));
       dispatch(modelsApi.endpoints.getControlNetModels.initiate());
       dispatch(modelsApi.endpoints.getLoRAModels.initiate());
       dispatch(modelsApi.endpoints.getTextualInversionModels.initiate());
diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
index 384150be10..3462a26353 100644
--- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
+++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
@@ -6,6 +6,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { forEach } from 'lodash-es';
 import { modelsApi } from '../../services/api/endpoints/models';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 
 const readinessSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -24,7 +25,7 @@ const readinessSelector = createSelector(
     }
 
     const { isSuccess: mainModelsSuccessfullyLoaded } =
-      modelsApi.endpoints.getMainModels.select()(state);
+      modelsApi.endpoints.getMainModels.select(ALL_BASE_MODELS)(state);
     if (!mainModelsSuccessfullyLoaded) {
       isReady = false;
       reasonsWhyNotReady.push('Models are not loaded');

From 761fc4beb8bfdc445757fabe71fe7562f27c0652 Mon Sep 17 00:00:00 2001
From: mickr777 <115216705+mickr777@users.noreply.github.com>
Date: Wed, 26 Jul 2023 14:04:59 +1000
Subject: [PATCH 47/58] Temp fix for is intermediate switch for l2i

---
 .../src/features/nodes/util/parseSchema.ts    | 50 ++++++++-----------
 1 file changed, 22 insertions(+), 28 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index bedf932b50..3a9cf233b5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -13,7 +13,12 @@ import {
   buildOutputFieldTemplates,
 } from './fieldTemplateBuilders';
 
-const RESERVED_FIELD_NAMES = ['id', 'type', 'is_intermediate', 'metadata'];
+const getReservedFieldNames = (type: string): string[] => {
+  if (type === 'l2i') {
+    return ['id', 'type', 'metadata'];
+  }
+  return ['id', 'type', 'is_intermediate', 'metadata'];
+};
 
 const invocationDenylist = [
   'Graph',
@@ -21,11 +26,11 @@ const invocationDenylist = [
   'MetadataAccumulatorInvocation',
 ];
 
-export const parseSchema = (openAPI: OpenAPIV3.Document) => {
-  // filter out non-invocation schemas, plus some tricky invocations for now
+export const parseSchema = (
+  openAPI: OpenAPIV3.Document
+): Record<string, InvocationTemplate> => {
   const filteredSchemas = filter(
-    // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-    openAPI.components!.schemas,
+    openAPI.components?.schemas,
     (schema, key) =>
       key.includes('Invocation') &&
       !key.includes('InvocationOutput') &&
@@ -35,21 +40,17 @@ export const parseSchema = (openAPI: OpenAPIV3.Document) => {
   const invocations = filteredSchemas.reduce<
     Record<string, InvocationTemplate>
   >((acc, schema) => {
-    // only want SchemaObjects
     if (isInvocationSchemaObject(schema)) {
       const type = schema.properties.type.default;
+      const RESERVED_FIELD_NAMES = getReservedFieldNames(type);
 
       const title = schema.ui?.title ?? schema.title.replace('Invocation', '');
-
       const typeHints = schema.ui?.type_hints;
 
       const inputs: Record<string, InputFieldTemplate> = {};
 
       if (type === 'collect') {
-        const itemProperty = schema.properties[
-          'item'
-        ] as InvocationSchemaObject;
-        // Handle the special Collect node
+        const itemProperty = schema.properties.item as InvocationSchemaObject;
         inputs.item = {
           type: 'item',
           name: 'item',
@@ -60,10 +61,8 @@ export const parseSchema = (openAPI: OpenAPIV3.Document) => {
           default: undefined,
         };
       } else if (type === 'iterate') {
-        const itemProperty = schema.properties[
-          'collection'
-        ] as InvocationSchemaObject;
-
+        const itemProperty = schema.properties
+          .collection as InvocationSchemaObject;
         inputs.collection = {
           type: 'array',
           name: 'collection',
@@ -74,18 +73,18 @@ export const parseSchema = (openAPI: OpenAPIV3.Document) => {
           inputKind: 'connection',
         };
       } else {
-        // All other nodes
         reduce(
           schema.properties,
           (inputsAccumulator, property, propertyName) => {
             if (
-              // `type` and `id` are not valid inputs/outputs
               !RESERVED_FIELD_NAMES.includes(propertyName) &&
               isSchemaObject(property)
             ) {
-              const field: InputFieldTemplate | undefined =
-                buildInputFieldTemplate(property, propertyName, typeHints);
-
+              const field = buildInputFieldTemplate(
+                property,
+                propertyName,
+                typeHints
+              );
               if (field) {
                 inputsAccumulator[propertyName] = field;
               }
@@ -97,22 +96,17 @@ export const parseSchema = (openAPI: OpenAPIV3.Document) => {
       }
 
       const rawOutput = (schema as InvocationSchemaObject).output;
-
       let outputs: Record<string, OutputFieldTemplate>;
 
-      // some special handling is needed for collect, iterate and range nodes
       if (type === 'iterate') {
-        // this is guaranteed to be a SchemaObject
-        // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-        const iterationOutput = openAPI.components!.schemas![
+        const iterationOutput = openAPI.components?.schemas?.[
           'IterateInvocationOutput'
         ] as OpenAPIV3.SchemaObject;
-
         outputs = {
           item: {
             name: 'item',
-            title: iterationOutput.title ?? '',
-            description: iterationOutput.description ?? '',
+            title: iterationOutput?.title ?? '',
+            description: iterationOutput?.description ?? '',
             type: 'array',
           },
         };

From e32cd794f7df71b1fe8fe2856180c64e139eaf7c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 23 Jul 2023 16:24:34 -0400
Subject: [PATCH 48/58] add safetychecker and watermark nodes

---
 invokeai/app/invocations/image.py             | 136 +++++++++++++++++-
 invokeai/backend/__init__.py                  |   1 +
 .../frontend/web/src/services/api/schema.d.ts |  54 +++++--
 3 files changed, 178 insertions(+), 13 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 8405aa6daf..dfb047ef50 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -5,8 +5,12 @@ from typing import Literal, Optional
 import numpy
 from PIL import Image, ImageFilter, ImageOps, ImageChops
 from pydantic import BaseModel, Field
+from pathlib import Path
 from typing import Union
 
+from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
+from transformers import AutoFeatureExtractor
+
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
@@ -14,7 +18,8 @@ from .baseinvocation import (
     InvocationContext,
     InvocationConfig,
 )
-
+from invokeai.backend.util.devices import choose_torch_device
+from invokeai.backend import SilenceWarnings
 
 class PILInvocationConfig(BaseModel):
     """Helper class to provide all PIL invocations with additional config"""
@@ -397,7 +402,6 @@ class ImageConvertInvocation(BaseInvocation, PILInvocationConfig):
             height=image_dto.height,
         )
 
-
 class ImageBlurInvocation(BaseInvocation, PILInvocationConfig):
     """Blurs an image"""
 
@@ -602,7 +606,6 @@ class ImageLerpInvocation(BaseInvocation, PILInvocationConfig):
             height=image_dto.height,
         )
 
-
 class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
     """Inverse linear interpolation of all pixels of an image"""
 
@@ -650,3 +653,130 @@ class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
             width=image_dto.width,
             height=image_dto.height,
         )
+
+class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
+    """Add blur to NSFW-flagged images"""
+
+    # fmt: off
+    type: Literal["img_nsfw"] = "img_nsfw"
+
+    # Inputs
+    image: Optional[ImageField]  = Field(default=None, description="The image to check")
+    active: bool = Field(default=True, description="Whether the NSFW checker is active")
+    # fmt: on
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {
+                "title": "Blur NSFW Images",
+                "tags": ["image", "nsfw", "checker"]
+            },
+        }
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.services.images.get_pil_image(self.image.image_name)
+        
+        if not self.active:
+            return ImageOutput(
+                image=ImageField(image_name=self.image.image_name),
+                width=image.width,
+                height=image.height,
+            )
+
+        config = context.services.configuration
+        logger = context.services.logger
+        device = choose_torch_device()
+        
+        logger.info("Running NSFW checker")
+        safety_checker = StableDiffusionSafetyChecker.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
+        feature_extractor = AutoFeatureExtractor.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
+        
+        features = feature_extractor([image], return_tensors="pt")
+        features.to(device)
+        safety_checker.to(device)
+
+        x_image = numpy.array(image).astype(numpy.float32) / 255.0
+        x_image = x_image[None].transpose(0, 3, 1, 2)
+        with SilenceWarnings():
+            checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=features.pixel_values)
+
+        logger.info(f"NSFW scan result: {has_nsfw_concept[0]}")
+        if has_nsfw_concept[0]:
+            blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32))
+            caution = self._get_caution_img()
+            blurry_image.paste(caution,(0,0),caution)
+
+            image_dto = context.services.images.create(
+                image=blurry_image,
+                image_origin=ResourceOrigin.INTERNAL,
+                image_category=ImageCategory.GENERAL,
+                node_id=self.id,
+                session_id=context.graph_execution_state_id,
+                is_intermediate=self.is_intermediate,
+            )
+            return ImageOutput(
+                image=ImageField(image_name=image_dto.image_name),
+                width=image_dto.width,
+                height=image_dto.height,
+            )
+        else:
+            return ImageOutput(
+                image=ImageField(image_name=self.image.image_name),
+                width=image.width,
+                height=image.height,
+            )
+    
+    def _get_caution_img(self)->Image:
+        import invokeai.assets.web as web_assets
+        caution = Image.open(Path(web_assets.__path__[0]) / 'caution.png')
+        return caution.resize((caution.width // 2, caution.height //2))
+
+class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
+    """ Add an invisible watermark to an image """
+    # fmt: off
+    type: Literal["img_watermark"] = "img_watermark"
+
+    # Inputs
+    image: Optional[ImageField]  = Field(default=None, description="The image to check")
+    text: str = Field(default='InvokeAI', description="Watermark text")
+    # fmt: on
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {
+                "title": "Add Invisible Watermark",
+                "tags": ["image", "watermark", "invisible"]
+            },
+        }
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        import cv2
+        from imwatermark import WatermarkEncoder
+        
+        image = context.services.images.get_pil_image(self.image.image_name)
+        bgr = cv2.cvtColor(numpy.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
+        wm = self.text
+        encoder = WatermarkEncoder()
+        encoder.set_watermark('bytes', wm.encode('utf-8'))
+        bgr_encoded = encoder.encode(bgr, 'dwtDct')
+        new_image = Image.fromarray(
+            cv2.cvtColor(bgr_encoded, cv2.COLOR_BGR2RGB)
+        ).convert("RGBA")
+        
+        image_dto = context.services.images.create(
+            image=new_image,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
+
diff --git a/invokeai/backend/__init__.py b/invokeai/backend/__init__.py
index ff8b4bc8c5..cb21f1f9ed 100644
--- a/invokeai/backend/__init__.py
+++ b/invokeai/backend/__init__.py
@@ -13,3 +13,4 @@ from .model_management import (
     ModelType, SubModelType, ModelInfo
     )
 from .safety_checker import SafetyChecker
+from .model_management.models import SilenceWarnings
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 5cbf1d9c00..05d1f78eea 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1345,7 +1345,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1388,7 +1388,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -1935,6 +1935,40 @@ export type components = {
        */
       image2?: components["schemas"]["ImageField"];
     };
+    /**
+     * ImageNSFWBlur 
+     * @description Add blur to NSFW-flagged images
+     */
+    ImageNSFWBlur: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default img_nsfw 
+       * @enum {string}
+       */
+      type?: "img_nsfw";
+      /**
+       * Image 
+       * @description The image to pass to the NSFW checker
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Active 
+       * @description Whether the NSFW checker is active 
+       * @default true
+       */
+      active?: boolean;
+    };
     /**
      * ImageOutput 
      * @description Base class for invocations that output an image
@@ -5435,6 +5469,12 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusionXLModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat 
      * @description An enumeration. 
@@ -5447,12 +5487,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5563,7 +5597,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
@@ -5600,7 +5634,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {

From bd437513238a48dd1d19b7e43429f548f6dfeac0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 23 Jul 2023 23:32:08 -0400
Subject: [PATCH 49/58] update linear graphs to perform safety checking and
 watermarking

---
 .../controlnet_image_processors.py            |   2 +-
 invokeai/app/invocations/image.py             | 161 +++++++-----------
 invokeai/app/invocations/image_defs.py        |  54 ++++++
 invokeai/app/invocations/latent.py            |   2 +-
 invokeai/app/invocations/metadata.py          |   1 -
 .../services/board_image_record_storage.py    |   2 +
 invokeai/app/services/config.py               |   1 +
 invokeai/app/services/default_graphs.py       |   5 +-
 invokeai/app/services/images.py               |   5 +-
 .../buildCanvasImageToImageGraph.ts           |  36 +++-
 .../buildCanvasTextToImageGraph.ts            |  34 +++-
 .../buildLinearImageToImageGraph.ts           |  24 ++-
 .../buildLinearTextToImageGraph.ts            |  26 ++-
 .../nodes/util/graphBuilders/constants.ts     |   2 +
 14 files changed, 243 insertions(+), 112 deletions(-)
 create mode 100644 invokeai/app/invocations/image_defs.py

diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 911fede8fb..b04c45ae20 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -20,7 +20,7 @@ from ...backend.model_management import BaseModelType, ModelType
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import (BaseInvocation, BaseInvocationOutput,
                              InvocationConfig, InvocationContext)
-from .image import ImageOutput, PILInvocationConfig
+from .image_defs import ImageOutput, PILInvocationConfig
 
 CONTROLNET_DEFAULT_MODELS = [
     ###########################################
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index dfb047ef50..cf82148483 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -7,10 +7,9 @@ from PIL import Image, ImageFilter, ImageOps, ImageChops
 from pydantic import BaseModel, Field
 from pathlib import Path
 from typing import Union
-
+from invokeai.app.invocations.metadata import CoreMetadata
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from transformers import AutoFeatureExtractor
-
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
@@ -18,53 +17,15 @@ from .baseinvocation import (
     InvocationContext,
     InvocationConfig,
 )
+from .image_defs import (
+    PILInvocationConfig,
+    ImageOutput,
+    MaskOutput,
+    )
+from ..services.config import InvokeAIAppConfig
 from invokeai.backend.util.devices import choose_torch_device
 from invokeai.backend import SilenceWarnings
 
-class PILInvocationConfig(BaseModel):
-    """Helper class to provide all PIL invocations with additional config"""
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["PIL", "image"],
-            },
-        }
-
-
-class ImageOutput(BaseInvocationOutput):
-    """Base class for invocations that output an image"""
-
-    # fmt: off
-    type: Literal["image_output"] = "image_output"
-    image:      ImageField = Field(default=None, description="The output image")
-    width:             int = Field(description="The width of the image in pixels")
-    height:            int = Field(description="The height of the image in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {"required": ["type", "image", "width", "height"]}
-
-
-class MaskOutput(BaseInvocationOutput):
-    """Base class for invocations that output a mask"""
-
-    # fmt: off
-    type: Literal["mask"] = "mask"
-    mask:      ImageField = Field(default=None, description="The output mask")
-    width:            int = Field(description="The width of the mask in pixels")
-    height:           int = Field(description="The height of the mask in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "mask",
-            ]
-        }
-
-
 class LoadImageInvocation(BaseInvocation):
     """Load an image and provide it as output."""
 
@@ -656,13 +617,15 @@ class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
 
 class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
     """Add blur to NSFW-flagged images"""
+    DEFAULT_ENABLED = InvokeAIAppConfig.get_config().nsfw_checker
 
     # fmt: off
     type: Literal["img_nsfw"] = "img_nsfw"
 
     # Inputs
     image: Optional[ImageField]  = Field(default=None, description="The image to check")
-    active: bool = Field(default=True, description="Whether the NSFW checker is active")
+    enabled: bool = Field(default=DEFAULT_ENABLED, description="Whether the NSFW checker is enabled")
+    metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
     # fmt: on
 
     class Config(InvocationConfig):
@@ -676,55 +639,46 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
         
-        if not self.active:
-            return ImageOutput(
-                image=ImageField(image_name=self.image.image_name),
-                width=image.width,
-                height=image.height,
-            )
-
         config = context.services.configuration
         logger = context.services.logger
         device = choose_torch_device()
         
-        logger.info("Running NSFW checker")
-        safety_checker = StableDiffusionSafetyChecker.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
-        feature_extractor = AutoFeatureExtractor.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
-        
-        features = feature_extractor([image], return_tensors="pt")
-        features.to(device)
-        safety_checker.to(device)
+        if self.enabled:
+            logger.info("Running NSFW checker")
+            safety_checker = StableDiffusionSafetyChecker.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
+            feature_extractor = AutoFeatureExtractor.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
 
-        x_image = numpy.array(image).astype(numpy.float32) / 255.0
-        x_image = x_image[None].transpose(0, 3, 1, 2)
-        with SilenceWarnings():
-            checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=features.pixel_values)
+            features = feature_extractor([image], return_tensors="pt")
+            features.to(device)
+            safety_checker.to(device)
 
-        logger.info(f"NSFW scan result: {has_nsfw_concept[0]}")
-        if has_nsfw_concept[0]:
-            blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32))
-            caution = self._get_caution_img()
-            blurry_image.paste(caution,(0,0),caution)
+            x_image = numpy.array(image).astype(numpy.float32) / 255.0
+            x_image = x_image[None].transpose(0, 3, 1, 2)
+            with SilenceWarnings():
+                checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=features.pixel_values)
 
-            image_dto = context.services.images.create(
-                image=blurry_image,
-                image_origin=ResourceOrigin.INTERNAL,
-                image_category=ImageCategory.GENERAL,
-                node_id=self.id,
-                session_id=context.graph_execution_state_id,
-                is_intermediate=self.is_intermediate,
-            )
-            return ImageOutput(
-                image=ImageField(image_name=image_dto.image_name),
-                width=image_dto.width,
-                height=image_dto.height,
-            )
-        else:
-            return ImageOutput(
-                image=ImageField(image_name=self.image.image_name),
-                width=image.width,
-                height=image.height,
-            )
+            logger.info(f"NSFW scan result: {has_nsfw_concept[0]}")
+            if has_nsfw_concept[0]:
+                blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32))
+                caution = self._get_caution_img()
+                blurry_image.paste(caution,(0,0),caution)
+                image = blurry_image
+
+        image_dto = context.services.images.create(
+            image=image,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+            metadata=self.metadata.dict() if self.metadata else None,
+        )
+                
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
     
     def _get_caution_img(self)->Image:
         import invokeai.assets.web as web_assets
@@ -733,12 +687,18 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
 
 class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
     """ Add an invisible watermark to an image """
+
+    # to avoid circular import
+    DEFAULT_ENABLED = InvokeAIAppConfig.get_config().invisible_watermark
+    
     # fmt: off
     type: Literal["img_watermark"] = "img_watermark"
 
     # Inputs
     image: Optional[ImageField]  = Field(default=None, description="The image to check")
     text: str = Field(default='InvokeAI', description="Watermark text")
+    enabled: bool = Field(default=DEFAULT_ENABLED, description="Whether the invisible watermark is enabled")
+    metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
     # fmt: on
 
     class Config(InvocationConfig):
@@ -753,23 +713,28 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
         import cv2
         from imwatermark import WatermarkEncoder
         
+        logger = context.services.logger
         image = context.services.images.get_pil_image(self.image.image_name)
-        bgr = cv2.cvtColor(numpy.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
-        wm = self.text
-        encoder = WatermarkEncoder()
-        encoder.set_watermark('bytes', wm.encode('utf-8'))
-        bgr_encoded = encoder.encode(bgr, 'dwtDct')
-        new_image = Image.fromarray(
-            cv2.cvtColor(bgr_encoded, cv2.COLOR_BGR2RGB)
-        ).convert("RGBA")
+        if self.enabled:
+            logger.info("Running invisible watermarker")
+            bgr = cv2.cvtColor(numpy.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
+            wm = self.text
+            encoder = WatermarkEncoder()
+            encoder.set_watermark('bytes', wm.encode('utf-8'))
+            bgr_encoded = encoder.encode(bgr, 'dwtDct')
+            new_image = Image.fromarray(
+                cv2.cvtColor(bgr_encoded, cv2.COLOR_BGR2RGB)
+            ).convert("RGBA")
+            image = new_image
         
         image_dto = context.services.images.create(
-            image=new_image,
+            image=image,
             image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
             session_id=context.graph_execution_state_id,
             is_intermediate=self.is_intermediate,
+            metadata=self.metadata.dict() if self.metadata else None,
         )
 
         return ImageOutput(
diff --git a/invokeai/app/invocations/image_defs.py b/invokeai/app/invocations/image_defs.py
new file mode 100644
index 0000000000..8bab09debf
--- /dev/null
+++ b/invokeai/app/invocations/image_defs.py
@@ -0,0 +1,54 @@
+# Copyright 2023 Lincoln D. Stein and the InvokeAI Team
+""" Common classes used by .image and .controlnet; avoids circular import issues """
+
+from pydantic import BaseModel, Field
+from typing import Literal
+from ..models.image import ImageField
+from .baseinvocation import (
+    BaseInvocationOutput,
+    InvocationConfig,
+)
+
+class PILInvocationConfig(BaseModel):
+    """Helper class to provide all PIL invocations with additional config"""
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {
+                "tags": ["PIL", "image"],
+            },
+        }
+
+class ImageOutput(BaseInvocationOutput):
+    """Base class for invocations that output an image"""
+
+    # fmt: off
+    type: Literal["image_output"] = "image_output"
+    image:      ImageField = Field(default=None, description="The output image")
+    width:             int = Field(description="The width of the image in pixels")
+    height:            int = Field(description="The height of the image in pixels")
+    # fmt: on
+
+    class Config:
+        schema_extra = {"required": ["type", "image", "width", "height"]}
+
+
+class MaskOutput(BaseInvocationOutput):
+    """Base class for invocations that output a mask"""
+
+    # fmt: off
+    type: Literal["mask"] = "mask"
+    mask:      ImageField = Field(default=None, description="The output mask")
+    width:            int = Field(description="The width of the mask in pixels")
+    height:           int = Field(description="The height of the mask in pixels")
+    # fmt: on
+
+    class Config:
+        schema_extra = {
+            "required": [
+                "type",
+                "mask",
+            ]
+        }
+
+
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6082057bd3..69dffef09f 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -501,7 +501,7 @@ class LatentsToImageInvocation(BaseInvocation):
     vae: VaeField = Field(default=None, description="Vae submodel")
     tiled: bool = Field(
         default=False,
-        description="Decode latents by overlaping tiles(less memory consumption)")
+        description="Decode latents by overlapping tiles(less memory consumption)")
     fp32: bool = Field(DEFAULT_PRECISION=='float32', description="Decode in full precision")
     metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")
 
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index ab02487cdc..b0742d0419 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -11,7 +11,6 @@ from invokeai.app.invocations.baseinvocation import (
 from invokeai.app.invocations.controlnet_image_processors import ControlField
 from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
 
-
 class LoRAMetadataField(BaseModel):
     """LoRA metadata for an image generated in InvokeAI."""
 
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py
index 491972bd32..693b078589 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_record_storage.py
@@ -135,6 +135,7 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
         board_id: str,
         image_name: str,
     ) -> None:
+        print(f'DEBUG: board_id={board_id}, image_name={image_name}')
         try:
             self._lock.acquire()
             self._cursor.execute(
@@ -146,6 +147,7 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
                 (board_id, image_name, board_id),
             )
             self._conn.commit()
+            print('got here')
         except sqlite3.Error as e:
             self._conn.rollback()
             raise e
diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index b1e4e7ed5d..f2652ddd6b 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -365,6 +365,7 @@ setting environment variables INVOKEAI_<setting>.
     internet_available  : bool = Field(default=True, description="If true, attempt to download models on the fly; otherwise only use local models", category='Features')
     log_tokenization    : bool = Field(default=False, description="Enable logging of parsed prompt tokens.", category='Features')
     nsfw_checker        : bool = Field(default=True, description="Enable/disable the NSFW checker", category='Features')
+    invisible_watermark : bool = Field(default=True, description="Enable/disable the invisible watermark", category='Features')
     patchmatch          : bool = Field(default=True, description="Enable/disable patchmatch inpaint code", category='Features')
     restore             : bool = Field(default=True, description="Enable/disable face restoration code (DEPRECATED)", category='DEPRECATED')
 
diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index 92263751b7..22e35d1d6b 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -1,4 +1,5 @@
 from ..invocations.latent import LatentsToImageInvocation, TextToLatentsInvocation
+from ..invocations.image import ImageNSFWBlurInvocation
 from ..invocations.noise import NoiseInvocation
 from ..invocations.compel import CompelInvocation
 from ..invocations.params import ParamIntInvocation
@@ -24,6 +25,7 @@ def create_text_to_image() -> LibraryGraph:
                 '5': CompelInvocation(id='5'),
                 '6': TextToLatentsInvocation(id='6'),
                 '7': LatentsToImageInvocation(id='7'),
+                '8': ImageNSFWBlurInvocation(id='8'),
             },
             edges=[
                 Edge(source=EdgeConnection(node_id='width', field='a'), destination=EdgeConnection(node_id='3', field='width')),
@@ -33,6 +35,7 @@ def create_text_to_image() -> LibraryGraph:
                 Edge(source=EdgeConnection(node_id='6', field='latents'), destination=EdgeConnection(node_id='7', field='latents')),
                 Edge(source=EdgeConnection(node_id='4', field='conditioning'), destination=EdgeConnection(node_id='6', field='positive_conditioning')),
                 Edge(source=EdgeConnection(node_id='5', field='conditioning'), destination=EdgeConnection(node_id='6', field='negative_conditioning')),
+                Edge(source=EdgeConnection(node_id='7', field='image'), destination=EdgeConnection(node_id='8', field='image')),
             ]
         ),
         exposed_inputs=[
@@ -43,7 +46,7 @@ def create_text_to_image() -> LibraryGraph:
             ExposedNodeInput(node_path='seed', field='a', alias='seed'),
         ],
         exposed_outputs=[
-            ExposedNodeOutput(node_path='7', field='image', alias='image')
+            ExposedNodeOutput(node_path='8', field='image', alias='image')
         ])
 
 
diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index dc1b18babe..007f4021d4 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -216,16 +216,13 @@ class ImageService(ImageServiceABC):
                 metadata=metadata,
                 session_id=session_id,
             )
-
             if board_id is not None:
                 self._services.board_image_records.add_image_to_board(
                     board_id=board_id, image_name=image_name
                 )
-
             self._services.image_files.save(
                 image_name=image_name, image=image, metadata=metadata, graph=graph
             )
-
             image_dto = self.get_dto(image_name)
 
             return image_dto
@@ -236,7 +233,7 @@ class ImageService(ImageServiceABC):
             self._services.logger.error("Failed to save image file")
             raise
         except Exception as e:
-            self._services.logger.error("Problem saving image record and file")
+            self._services.logger.error(f"Problem saving image record and file: {str(e)}")
             raise e
 
     def update(
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 4ef3ff77d2..7920d2638a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -23,6 +23,8 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  NSFW_CHECKER,
+  WATERMARKER,
 } from './constants';
 
 /**
@@ -104,9 +106,9 @@ export const buildCanvasImageToImageGraph = (
         skipped_layers: clipSkip,
       },
       [LATENTS_TO_IMAGE]: {
-        is_intermediate: !shouldAutoSave,
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
       },
       [LATENTS_TO_LATENTS]: {
         type: 'l2l',
@@ -126,6 +128,16 @@ export const buildCanvasImageToImageGraph = (
         //   image_name: initialImage.image_name,
         // },
       },
+      [NSFW_CHECKER]: {
+        type: 'img_nsfw',
+        id: NSFW_CHECKER,
+        is_intermediate: true,
+      },
+      [WATERMARKER]: {
+        is_intermediate: !shouldAutoSave,
+        type: 'img_watermark',
+        id: WATERMARKER,
+      },
     },
     edges: [
       {
@@ -168,6 +180,26 @@ export const buildCanvasImageToImageGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+        destination: {
+          node_id: WATERMARKER,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: IMAGE_TO_LATENTS,
@@ -316,7 +348,7 @@ export const buildCanvasImageToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: WATERMARKER,
       field: 'metadata',
     },
   });
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index d0eabbc14b..88e2f5e70b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -16,6 +16,8 @@ import {
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
+  NSFW_CHECKER,
+  WATERMARKER,
 } from './constants';
 
 /**
@@ -107,6 +109,16 @@ export const buildCanvasTextToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
+      },
+      [NSFW_CHECKER]: {
+        type: 'img_nsfw',
+        id: NSFW_CHECKER,
+        is_intermediate: true,
+      },
+      [WATERMARKER]: {
+        type: 'img_watermark',
+        id: WATERMARKER,
         is_intermediate: !shouldAutoSave,
       },
     },
@@ -181,6 +193,26 @@ export const buildCanvasTextToImageGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+        destination: {
+          node_id: WATERMARKER,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: NOISE,
@@ -221,7 +253,7 @@ export const buildCanvasTextToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: WATERMARKER,
       field: 'metadata',
     },
   });
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index 856ed89e5a..c8df39a4d8 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -22,6 +22,8 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  NSFW_CHECKER,
+  WATERMARKER,
 } from './constants';
 
 /**
@@ -185,6 +187,26 @@ export const buildLinearImageToImageGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+        destination: {
+          node_id: WATERMARKER,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: IMAGE_TO_LATENTS,
@@ -362,7 +384,7 @@ export const buildLinearImageToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: WATERMARKER,
       field: 'metadata',
     },
   });
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 7b36f6b391..754edae873 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -16,6 +16,8 @@ import {
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
+  NSFW_CHECKER,
+  WATERMARKER,
 } from './constants';
 
 export const buildLinearTextToImageGraph = (
@@ -47,7 +49,7 @@ export const buildLinearTextToImageGraph = (
   }
 
   /**
-   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+v   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
    * ids.
    *
@@ -180,6 +182,26 @@ export const buildLinearTextToImageGraph = (
           field: 'noise',
         },
       },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: NSFW_CHECKER,
+          field: 'image',
+        },
+        destination: {
+          node_id: WATERMARKER,
+          field: 'image',
+        },
+      },
     ],
   };
 
@@ -210,7 +232,7 @@ export const buildLinearTextToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: WATERMARKER,
       field: 'metadata',
     },
   });
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index f7d11d109c..8cb9c6d50d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -3,6 +3,8 @@ export const POSITIVE_CONDITIONING = 'positive_conditioning';
 export const NEGATIVE_CONDITIONING = 'negative_conditioning';
 export const TEXT_TO_LATENTS = 'text_to_latents';
 export const LATENTS_TO_IMAGE = 'latents_to_image';
+export const NSFW_CHECKER = 'nsfw_checker';
+export const WATERMARKER = 'invisible_watermark';
 export const NOISE = 'noise';
 export const RANDOM_INT = 'rand_int';
 export const RANGE_OF_SIZE = 'range_of_size';

From b3723d1ccfa6ee1e84942951672d200e13d11847 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 23 Jul 2023 23:41:44 -0400
Subject: [PATCH 50/58] update documentation

---
 docs/features/CONFIGURATION.md | 24 +++++++++++-------------
 docs/features/NODES.md         |  2 ++
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/docs/features/CONFIGURATION.md b/docs/features/CONFIGURATION.md
index 68c5ced59b..ccb23ae79a 100644
--- a/docs/features/CONFIGURATION.md
+++ b/docs/features/CONFIGURATION.md
@@ -136,19 +136,16 @@ command-line options by giving the `--help` argument:
 
 ```
 (.venv) > invokeai-web --help
-usage: InvokeAI [-h] [--host HOST] [--port PORT] [--allow_origins [ALLOW_ORIGINS ...]] [--allow_credentials | --no-allow_credentials]
-                [--allow_methods [ALLOW_METHODS ...]] [--allow_headers [ALLOW_HEADERS ...]] [--esrgan | --no-esrgan]
-                [--internet_available | --no-internet_available] [--log_tokenization | --no-log_tokenization]
-                [--nsfw_checker | --no-nsfw_checker] [--patchmatch | --no-patchmatch] [--restore | --no-restore]
-                [--always_use_cpu | --no-always_use_cpu] [--free_gpu_mem | --no-free_gpu_mem] [--max_cache_size MAX_CACHE_SIZE]
-                [--max_vram_cache_size MAX_VRAM_CACHE_SIZE] [--precision {auto,float16,float32,autocast}]
-                [--sequential_guidance | --no-sequential_guidance] [--xformers_enabled | --no-xformers_enabled]
-                [--tiled_decode | --no-tiled_decode] [--root ROOT] [--autoimport_dir AUTOIMPORT_DIR] [--lora_dir LORA_DIR]
-                [--embedding_dir EMBEDDING_DIR] [--controlnet_dir CONTROLNET_DIR] [--conf_path CONF_PATH] [--models_dir MODELS_DIR]
-                [--legacy_conf_dir LEGACY_CONF_DIR] [--db_dir DB_DIR] [--outdir OUTDIR] [--from_file FROM_FILE]
-                [--use_memory_db | --no-use_memory_db] [--model MODEL] [--log_handlers [LOG_HANDLERS ...]]
-                [--log_format {plain,color,syslog,legacy}] [--log_level {debug,info,warning,error,critical}]
-...
+usage: InvokeAI [-h] [--host HOST] [--port PORT] [--allow_origins [ALLOW_ORIGINS ...]] [--allow_credentials | --no-allow_credentials] [--allow_methods [ALLOW_METHODS ...]]
+                [--allow_headers [ALLOW_HEADERS ...]] [--esrgan | --no-esrgan] [--internet_available | --no-internet_available] [--log_tokenization | --no-log_tokenization]
+                [--nsfw_checker | --no-nsfw_checker] [--invisible_watermark | --no-invisible_watermark] [--patchmatch | --no-patchmatch] [--restore | --no-restore]
+                [--always_use_cpu | --no-always_use_cpu] [--free_gpu_mem | --no-free_gpu_mem] [--max_loaded_models MAX_LOADED_MODELS] [--max_cache_size MAX_CACHE_SIZE]
+                [--max_vram_cache_size MAX_VRAM_CACHE_SIZE] [--gpu_mem_reserved GPU_MEM_RESERVED] [--precision {auto,float16,float32,autocast}]
+                [--sequential_guidance | --no-sequential_guidance] [--xformers_enabled | --no-xformers_enabled] [--tiled_decode | --no-tiled_decode] [--root ROOT]
+                [--autoimport_dir AUTOIMPORT_DIR] [--lora_dir LORA_DIR] [--embedding_dir EMBEDDING_DIR] [--controlnet_dir CONTROLNET_DIR] [--conf_path CONF_PATH]
+                [--models_dir MODELS_DIR] [--legacy_conf_dir LEGACY_CONF_DIR] [--db_dir DB_DIR] [--outdir OUTDIR] [--from_file FROM_FILE]
+                [--use_memory_db | --no-use_memory_db] [--model MODEL] [--log_handlers [LOG_HANDLERS ...]] [--log_format {plain,color,syslog,legacy}]
+                [--log_level {debug,info,warning,error,critical}] [--version | --no-version]
 ```
 
 ## The Configuration Settings
@@ -179,6 +176,7 @@ These configuration settings allow you to enable and disable various InvokeAI fe
 | `internet_available` | `true`     | When a resource is not available locally, try to fetch it via the internet |
 | `log_tokenization` | `false`      | Before each text2image generation, print a color-coded representation of the prompt to the console; this can help understand why a prompt is not working as expected |
 | `nsfw_checker` | `true`     | Activate the NSFW checker to blur out risque images |
+| `invisible_watermark` | `true` | Write an invisible watermark 'InvokeAI' into generated images for use by AI image detectors |
 | `patchmatch` | `true`     | Activate the "patchmatch" algorithm for improved inpainting |
 | `restore`    | `true`     | Activate the facial restoration features (DEPRECATED; restoration features will be removed in 3.0.0) |
 
diff --git a/docs/features/NODES.md b/docs/features/NODES.md
index 94663d9f1d..eef71eb974 100644
--- a/docs/features/NODES.md
+++ b/docs/features/NODES.md
@@ -61,11 +61,13 @@ A noise scheduler (eg. DPM++ 2M Karras) schedules the subtraction of noise from
 | ImageInverseLerp                   | Inverse linear interpolation of all pixels of an image |
 | ImageLerp                          | Linear interpolation of all pixels of an image |
 | ImageMultiply                      | Multiplies two images together using `PIL.ImageChops.Multiply()` |
+| ImageNSFWBlurInvocation            | Detects and blurs images that may contain sexually explicit content |
 | ImagePaste                         | Pastes an image into another image |
 | ImageProcessor                     | Base class for invocations that reprocess images for ControlNet |
 | ImageResize                        | Resizes an image to specific dimensions |
 | ImageScale                         | Scales an image by a factor |
 | ImageToLatents                     | Scales latents by a given factor |
+| ImageWatermarkInvocation           | Adds an invisible watermark to images |
 | InfillColor                        | Infills transparent areas of an image with a solid color |
 | InfillPatchMatch                   | Infills transparent areas of an image using the PatchMatch algorithm |
 | InfillTile                         | Infills transparent areas of an image with tiles of the image |

From 844d37c642aa7638cc5a987a39a902785c8c918e Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 24 Jul 2023 08:25:39 -0400
Subject: [PATCH 51/58] rebuild schema

---
 .../frontend/web/dist/assets/App-06ea4e5e.js  | 169 ----------
 .../dist/assets/MantineProvider-b5842fc1.js   |   1 -
 .../assets/ThemeLocaleProvider-a6269375.js    | 302 ------------------
 .../web/dist/assets/index-e2437518.js         | 125 --------
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    |  15 +-
 .../frontend/web/src/services/api/schema.d.ts |  94 +++++-
 7 files changed, 88 insertions(+), 620 deletions(-)
 delete mode 100644 invokeai/frontend/web/dist/assets/App-06ea4e5e.js
 delete mode 100644 invokeai/frontend/web/dist/assets/MantineProvider-b5842fc1.js
 delete mode 100644 invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a6269375.js
 delete mode 100644 invokeai/frontend/web/dist/assets/index-e2437518.js

diff --git a/invokeai/frontend/web/dist/assets/App-06ea4e5e.js b/invokeai/frontend/web/dist/assets/App-06ea4e5e.js
deleted file mode 100644
index a7597f8d24..0000000000
--- a/invokeai/frontend/web/dist/assets/App-06ea4e5e.js
+++ /dev/null
@@ -1,169 +0,0 @@
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if(st(ye))(Oe=dt[xt])!=null&&Oe.valueResolved&&(Oe.valueResolved({data:ye.payload,meta:ye.meta.baseQueryMeta}),delete Oe.valueResolved);else if(Y.internalActions.removeQueryResult.match(ye)||Y.internalActions.removeMutationResult.match(ye))(Oe=dt[xt])&&(delete dt[xt],Oe.cacheEntryRemoved());else if(Y.util.resetApiState.match(ye))for(var Kt=0,qt=Object.entries(dt);Kt<qt.length;Kt++){var $t=qt[Kt],Oe=$t[1];delete dt[$t[0]],Oe.cacheEntryRemoved()}}},Rr=I(Eo),_o=function(q){var Y=q.api,le=q.context,we=q.queryThunk,ce=q.mutationThunk,nt=(0,Rr.isPending)(we,ce),Je=(0,Rr.isRejected)(we,ce),Dt=(0,Rr.isFulfilled)(we,ce),st={};return function(dt,De){var ye,Fe,ht;if(nt(dt)){var xt=dt.meta,Ot=xt.requestId,Lt=xt.arg,Kt=Lt.endpointName,qt=Lt.originalArgs,$t=le.endpointDefinitions[Kt],Oe=$t==null?void 0:$t.onQueryStarted;if(Oe){var ut={},_t=new Promise(function(Un,yt){ut.resolve=Un,ut.reject=yt});_t.catch(function(){}),st[Ot]=ut;var At=Y.endpoints[Kt].select($t.type===H.query?qt:Ot),xn=De.dispatch(function(Un,yt,wn){return wn}),zt=_(C({},De),{getCacheEntry:function(){return At(De.getState())},requestId:Ot,extra:xn,updateCachedData:$t.type===H.query?function(Un){return De.dispatch(Y.util.updateQueryData(Kt,qt,Un))}:void 0,queryFulfilled:_t});Oe(qt,zt)}}else if(Dt(dt)){var tn=dt.meta,Jt=tn.baseQueryMeta;(ye=st[Ot=tn.requestId])==null||ye.resolve({data:dt.payload,meta:Jt}),delete st[Ot]}else if(Je(dt)){var _r=dt.meta;Jt=_r.baseQueryMeta,(ht=st[Ot=_r.requestId])==null||ht.reject({error:(Fe=dt.payload)!=null?Fe:dt.error,isUnhandledError:!_r.rejectedWithValue,meta:Jt}),delete st[Ot]}}},zr=function(q){var Y=q.api,le=q.context.apiUid;return function(we,ce){Y.util.resetApiState.match(we)&&ce.dispatch(Y.internalActions.middlewareRegistered(le))}},Lr=I(Rc),es=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof al<"u"?al:globalThis):function(q){return(Nt||(Nt=Promise.resolve())).then(q).catch(function(Y){return setTimeout(function(){throw Y},0)})};function Dr(q){for(var Y=[],le=1;le<arguments.length;le++)Y[le-1]=arguments[le];Object.assign.apply(Object,o([q],Y))}var ks=I(Rc),ts=Symbol(),Xs=function(){return{name:ts,init:function(q,Y,le){var we=Y.baseQuery,ce=Y.reducerPath,nt=Y.serializeQueryArgs,Je=Y.keepUnusedDataFor,Dt=Y.refetchOnMountOrArgChange,st=Y.refetchOnFocus,dt=Y.refetchOnReconnect;(0,ks.enablePatches)();var De=function(yt){return yt};Object.assign(q,{reducerPath:ce,endpoints:{},internalActions:{onOnline:xe,onOffline:me,onFocus:ee,onFocusLost:ie},util:{}});var ye=function(yt){var wn=this,kn=yt.reducerPath,Gn=yt.baseQuery,ar=yt.context.endpointDefinitions,En=yt.serializeQueryArgs,On=yt.api,nn=function(Be,wt){return E(wn,[Be,wt],function(pt,Ze){var ft,Rt,lt,Qe,ke,Se,Pe,Te,Ge,kt,St,Ne,Qt,dn=Ze.signal,on=Ze.abort,ir=Ze.rejectWithValue,Fn=Ze.fulfillWithValue,an=Ze.dispatch,$n=Ze.getState,to=Ze.extra;return r(this,function(rn){switch(rn.label){case 0:ft=ar[pt.endpointName],rn.label=1;case 1:return rn.trys.push([1,8,,13]),Rt=jt,lt=void 0,Qe={signal:dn,abort:on,dispatch:an,getState:$n,extra:to,endpoint:pt.endpointName,type:pt.type,forced:pt.type==="query"?pn(pt,$n()):void 0},(ke=pt.type==="query"?pt[ge]:void 0)?(lt=ke(),[3,6]):[3,2];case 2:return ft.query?[4,Gn(ft.query(pt.originalArgs),Qe,ft.extraOptions)]:[3,4];case 3:return lt=rn.sent(),ft.transformResponse&&(Rt=ft.transformResponse),[3,6];case 4:return[4,ft.queryFn(pt.originalArgs,Qe,ft.extraOptions,function(Mn){return Gn(Mn,Qe,ft.extraOptions)})];case 5:lt=rn.sent(),rn.label=6;case 6:if(lt.error)throw new G(lt.error,lt.meta);return Se=Fn,[4,Rt(lt.data,lt.meta,pt.originalArgs)];case 7:return[2,Se.apply(void 0,[rn.sent(),(Ne={fulfilledTimeStamp:Date.now(),baseQueryMeta:lt.meta},Ne[Ue.SHOULD_AUTOBATCH]=!0,Ne)])];case 8:if(Pe=rn.sent(),!((Te=Pe)instanceof G))return[3,12];Ge=jt,ft.query&&ft.transformErrorResponse&&(Ge=ft.transformErrorResponse),rn.label=9;case 9:return rn.trys.push([9,11,,12]),kt=ir,[4,Ge(Te.value,Te.meta,pt.originalArgs)];case 10:return[2,kt.apply(void 0,[rn.sent(),(Qt={baseQueryMeta:Te.meta},Qt[Ue.SHOULD_AUTOBATCH]=!0,Qt)])];case 11:return St=rn.sent(),Te=St,[3,12];case 12:throw console.error(Te),Te;case 13:return[2]}})})};function pn(Be,wt){var pt,Ze,ft,Rt,lt=(Ze=(pt=wt[kn])==null?void 0:pt.queries)==null?void 0:Ze[Be.queryCacheKey],Qe=(ft=wt[kn])==null?void 0:ft.config.refetchOnMountOrArgChange,ke=lt==null?void 0:lt.fulfilledTimeStamp,Se=(Rt=Be.forceRefetch)!=null?Rt:Be.subscribe&&Qe;return!!Se&&(Se===!0||(Number(new Date)-Number(ke))/1e3>=Se)}var Sn=(0,Ue.createAsyncThunk)(kn+"/executeQuery",nn,{getPendingMeta:function(){var Be;return(Be={startedTimeStamp:Date.now()})[Ue.SHOULD_AUTOBATCH]=!0,Be},condition:function(Be,wt){var pt,Ze,ft,Rt=(0,wt.getState)(),lt=(Ze=(pt=Rt[kn])==null?void 0:pt.queries)==null?void 0:Ze[Be.queryCacheKey],Qe=lt==null?void 0:lt.fulfilledTimeStamp,ke=Be.originalArgs,Se=lt==null?void 0:lt.originalArgs,Pe=ar[Be.endpointName];return!(!_e(Be)&&((lt==null?void 0:lt.status)==="pending"||!pn(Be,Rt)&&(!ne(Pe)||!((ft=Pe==null?void 0:Pe.forceRefetch)!=null&&ft.call(Pe,{currentArg:ke,previousArg:Se,endpointState:lt,state:Rt})))&&Qe))},dispatchConditionRejection:!0}),cn=(0,Ue.createAsyncThunk)(kn+"/executeMutation",nn,{getPendingMeta:function(){var Be;return(Be={startedTimeStamp:Date.now()})[Ue.SHOULD_AUTOBATCH]=!0,Be}});function un(Be){return function(wt){var pt,Ze;return((Ze=(pt=wt==null?void 0:wt.meta)==null?void 0:pt.arg)==null?void 0:Ze.endpointName)===Be}}return{queryThunk:Sn,mutationThunk:cn,prefetch:function(Be,wt,pt){return function(Ze,ft){var Rt=function(Pe){return"force"in Pe}(pt)&&pt.force,lt=function(Pe){return"ifOlderThan"in Pe}(pt)&&pt.ifOlderThan,Qe=function(Pe){return Pe===void 0&&(Pe=!0),On.endpoints[Be].initiate(wt,{forceRefetch:Pe})},ke=On.endpoints[Be].select(wt)(ft());if(Rt)Ze(Qe());else if(lt){var Se=ke==null?void 0:ke.fulfilledTimeStamp;if(!Se)return void Ze(Qe());(Number(new Date)-Number(new Date(Se)))/1e3>=lt&&Ze(Qe())}else Ze(Qe(!1))}},updateQueryData:function(Be,wt,pt){return function(Ze,ft){var Rt,lt,Qe=On.endpoints[Be].select(wt)(ft()),ke={patches:[],inversePatches:[],undo:function(){return Ze(On.util.patchQueryData(Be,wt,ke.inversePatches))}};if(Qe.status===t.uninitialized)return ke;if("data"in Qe)if((0,Le.isDraftable)(Qe.data)){var Se=(0,Le.produceWithPatches)(Qe.data,pt),Pe=Se[2];(Rt=ke.patches).push.apply(Rt,Se[1]),(lt=ke.inversePatches).push.apply(lt,Pe)}else{var Te=pt(Qe.data);ke.patches.push({op:"replace",path:[],value:Te}),ke.inversePatches.push({op:"replace",path:[],value:Qe.data})}return Ze(On.util.patchQueryData(Be,wt,ke.patches)),ke}},upsertQueryData:function(Be,wt,pt){return function(Ze){var ft;return Ze(On.endpoints[Be].initiate(wt,((ft={subscribe:!1,forceRefetch:!0})[ge]=function(){return{data:pt}},ft)))}},patchQueryData:function(Be,wt,pt){return function(Ze){Ze(On.internalActions.queryResultPatched({queryCacheKey:En({queryArgs:wt,endpointDefinition:ar[Be],endpointName:Be}),patches:pt}))}},buildMatchThunkActions:function(Be,wt){return{matchPending:(0,We.isAllOf)((0,We.isPending)(Be),un(wt)),matchFulfilled:(0,We.isAllOf)((0,We.isFulfilled)(Be),un(wt)),matchRejected:(0,We.isAllOf)((0,We.isRejected)(Be),un(wt))}}}}({baseQuery:we,reducerPath:ce,context:le,api:q,serializeQueryArgs:nt}),Fe=ye.queryThunk,ht=ye.mutationThunk,xt=ye.patchQueryData,Ot=ye.updateQueryData,Lt=ye.upsertQueryData,Kt=ye.prefetch,qt=ye.buildMatchThunkActions,$t=function(yt){var wn=yt.reducerPath,kn=yt.queryThunk,Gn=yt.mutationThunk,ar=yt.context,En=ar.endpointDefinitions,On=ar.apiUid,nn=ar.extractRehydrationInfo,pn=ar.hasRehydrationInfo,Sn=yt.assertTagType,cn=yt.config,un=(0,Ce.createAction)(wn+"/resetApiState"),Be=(0,Ce.createSlice)({name:wn+"/queries",initialState:Et,reducers:{removeQueryResult:{reducer:function(Qe,ke){delete Qe[ke.payload.queryCacheKey]},prepare:(0,Ce.prepareAutoBatched)()},queryResultPatched:function(Qe,ke){var Se=ke.payload,Pe=Se.patches;bt(Qe,Se.queryCacheKey,function(Te){Te.data=(0,Pt.applyPatches)(Te.data,Pe.concat())})}},extraReducers:function(Qe){Qe.addCase(kn.pending,function(ke,Se){var Pe,Te=Se.meta,Ge=Se.meta.arg,kt=_e(Ge);(Ge.subscribe||kt)&&(ke[Pe=Ge.queryCacheKey]!=null||(ke[Pe]={status:t.uninitialized,endpointName:Ge.endpointName})),bt(ke,Ge.queryCacheKey,function(St){St.status=t.pending,St.requestId=kt&&St.requestId?St.requestId:Te.requestId,Ge.originalArgs!==void 0&&(St.originalArgs=Ge.originalArgs),St.startedTimeStamp=Te.startedTimeStamp})}).addCase(kn.fulfilled,function(ke,Se){var Pe=Se.meta,Te=Se.payload;bt(ke,Pe.arg.queryCacheKey,function(Ge){var kt;if(Ge.requestId===Pe.requestId||_e(Pe.arg)){var St=En[Pe.arg.endpointName].merge;if(Ge.status=t.fulfilled,St)if(Ge.data!==void 0){var Ne=Pe.fulfilledTimeStamp,Qt=Pe.arg,dn=Pe.baseQueryMeta,on=Pe.requestId,ir=(0,Ce.createNextState)(Ge.data,function(Fn){return St(Fn,Te,{arg:Qt.originalArgs,baseQueryMeta:dn,fulfilledTimeStamp:Ne,requestId:on})});Ge.data=ir}else Ge.data=Te;else Ge.data=(kt=En[Pe.arg.endpointName].structuralSharing)==null||kt?D((0,jn.isDraft)(Ge.data)?(0,Pt.original)(Ge.data):Ge.data,Te):Te;delete Ge.error,Ge.fulfilledTimeStamp=Pe.fulfilledTimeStamp}})}).addCase(kn.rejected,function(ke,Se){var Pe=Se.meta,Te=Pe.condition,Ge=Pe.requestId,kt=Se.error,St=Se.payload;bt(ke,Pe.arg.queryCacheKey,function(Ne){if(!Te){if(Ne.requestId!==Ge)return;Ne.status=t.rejected,Ne.error=St??kt}})}).addMatcher(pn,function(ke,Se){for(var Pe=nn(Se).queries,Te=0,Ge=Object.entries(Pe);Te<Ge.length;Te++){var kt=Ge[Te],St=kt[1];(St==null?void 0:St.status)!==t.fulfilled&&(St==null?void 0:St.status)!==t.rejected||(ke[kt[0]]=St)}})}}),wt=(0,Ce.createSlice)({name:wn+"/mutations",initialState:Et,reducers:{removeMutationResult:{reducer:function(Qe,ke){var Se=be(ke.payload);Se in Qe&&delete Qe[Se]},prepare:(0,Ce.prepareAutoBatched)()}},extraReducers:function(Qe){Qe.addCase(Gn.pending,function(ke,Se){var Pe=Se.meta,Te=Pe.requestId,Ge=Pe.arg,kt=Pe.startedTimeStamp;Ge.track&&(ke[be(Se.meta)]={requestId:Te,status:t.pending,endpointName:Ge.endpointName,startedTimeStamp:kt})}).addCase(Gn.fulfilled,function(ke,Se){var Pe=Se.payload,Te=Se.meta;Te.arg.track&&Ae(ke,Te,function(Ge){Ge.requestId===Te.requestId&&(Ge.status=t.fulfilled,Ge.data=Pe,Ge.fulfilledTimeStamp=Te.fulfilledTimeStamp)})}).addCase(Gn.rejected,function(ke,Se){var Pe=Se.payload,Te=Se.error,Ge=Se.meta;Ge.arg.track&&Ae(ke,Ge,function(kt){kt.requestId===Ge.requestId&&(kt.status=t.rejected,kt.error=Pe??Te)})}).addMatcher(pn,function(ke,Se){for(var Pe=nn(Se).mutations,Te=0,Ge=Object.entries(Pe);Te<Ge.length;Te++){var kt=Ge[Te],St=kt[0],Ne=kt[1];(Ne==null?void 0:Ne.status)!==t.fulfilled&&(Ne==null?void 0:Ne.status)!==t.rejected||St===(Ne==null?void 0:Ne.requestId)||(ke[St]=Ne)}})}}),pt=(0,Ce.createSlice)({name:wn+"/invalidation",initialState:Et,reducers:{},extraReducers:function(Qe){Qe.addCase(Be.actions.removeQueryResult,function(ke,Se){for(var Pe=Se.payload.queryCacheKey,Te=0,Ge=Object.values(ke);Te<Ge.length;Te++)for(var kt=0,St=Object.values(Ge[Te]);kt<St.length;kt++){var Ne=St[kt],Qt=Ne.indexOf(Pe);Qt!==-1&&Ne.splice(Qt,1)}}).addMatcher(pn,function(ke,Se){for(var Pe,Te,Ge,kt,St=nn(Se).provided,Ne=0,Qt=Object.entries(St);Ne<Qt.length;Ne++)for(var dn=Qt[Ne],on=dn[0],ir=0,Fn=Object.entries(dn[1]);ir<Fn.length;ir++)for(var an=Fn[ir],$n=an[0],to=an[1],rn=(kt=(Te=(Pe=ke[on])!=null?Pe:ke[on]={})[Ge=$n||"__internal_without_id"])!=null?kt:Te[Ge]=[],Mn=0,Br=to;Mn<Br.length;Mn++){var kr=Br[Mn];rn.includes(kr)||rn.push(kr)}}).addMatcher((0,Ce.isAnyOf)((0,Ce.isFulfilled)(kn),(0,Ce.isRejectedWithValue)(kn)),function(ke,Se){for(var Pe,Te,Ge,kt,St=vt(Se,"providesTags",En,Sn),Ne=Se.meta.arg.queryCacheKey,Qt=0,dn=Object.values(ke);Qt<dn.length;Qt++)for(var on=0,ir=Object.values(dn[Qt]);on<ir.length;on++){var Fn=ir[on],an=Fn.indexOf(Ne);an!==-1&&Fn.splice(an,1)}for(var $n=0,to=St;$n<to.length;$n++){var rn=to[$n],Mn=rn.type,Br=rn.id,kr=(kt=(Te=(Pe=ke[Mn])!=null?Pe:ke[Mn]={})[Ge=Br||"__internal_without_id"])!=null?kt:Te[Ge]=[];kr.includes(Ne)||kr.push(Ne)}})}}),Ze=(0,Ce.createSlice)({name:wn+"/subscriptions",initialState:Et,reducers:{updateSubscriptionOptions:function(Qe,ke){},unsubscribeQueryResult:function(Qe,ke){},internal_probeSubscription:function(Qe,ke){}}}),ft=(0,Ce.createSlice)({name:wn+"/internalSubscriptions",initialState:Et,reducers:{subscriptionsUpdated:{reducer:function(Qe,ke){return(0,Pt.applyPatches)(Qe,ke.payload)},prepare:(0,Ce.prepareAutoBatched)()}}}),Rt=(0,Ce.createSlice)({name:wn+"/config",initialState:C({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},cn),reducers:{middlewareRegistered:function(Qe,ke){Qe.middlewareRegistered=Qe.middlewareRegistered!=="conflict"&&On===ke.payload||"conflict"}},extraReducers:function(Qe){Qe.addCase(xe,function(ke){ke.online=!0}).addCase(me,function(ke){ke.online=!1}).addCase(ee,function(ke){ke.focused=!0}).addCase(ie,function(ke){ke.focused=!1}).addMatcher(pn,function(ke){return C({},ke)})}}),lt=(0,Ce.combineReducers)({queries:Be.reducer,mutations:wt.reducer,provided:pt.reducer,subscriptions:ft.reducer,config:Rt.reducer});return{reducer:function(Qe,ke){return lt(un.match(ke)?void 0:Qe,ke)},actions:_(C(C(C(C(C({},Rt.actions),Be.actions),Ze.actions),ft.actions),wt.actions),{unsubscribeMutationResult:wt.actions.removeMutationResult,resetApiState:un})}}({context:le,queryThunk:Fe,mutationThunk:ht,reducerPath:ce,assertTagType:De,config:{refetchOnFocus:st,refetchOnReconnect:dt,refetchOnMountOrArgChange:Dt,keepUnusedDataFor:Je,reducerPath:ce}}),Oe=$t.reducer,ut=$t.actions;Dr(q.util,{patchQueryData:xt,updateQueryData:Ot,upsertQueryData:Lt,prefetch:Kt,resetApiState:ut.resetApiState}),Dr(q.internalActions,ut);var _t=function(yt){var wn=yt.reducerPath,kn=yt.queryThunk,Gn=yt.api,ar=yt.context,En=ar.apiUid,On={invalidateTags:(0,ur.createAction)(wn+"/invalidateTags")},nn=[zr,yn,$r,dr,Nn,_o];return{middleware:function(Sn){var cn=!1,un=_(C({},yt),{internalState:{currentSubscriptions:{}},refetchQuery:pn}),Be=nn.map(function(Ze){return Ze(un)}),wt=function(Ze){var ft=Ze.api,Rt=Ze.queryThunk,lt=Ze.internalState,Qe=ft.reducerPath+"/subscriptions",ke=null,Se=!1,Pe=ft.internalActions,Te=Pe.updateSubscriptionOptions,Ge=Pe.unsubscribeQueryResult;return function(kt,St){var Ne,Qt;if(ke||(ke=JSON.parse(JSON.stringify(lt.currentSubscriptions))),ft.util.resetApiState.match(kt))return ke=lt.currentSubscriptions={},[!0,!1];if(ft.internalActions.internal_probeSubscription.match(kt)){var dn=kt.payload;return[!1,!!((Ne=lt.currentSubscriptions[dn.queryCacheKey])!=null&&Ne[dn.requestId])]}var on=function(an,$n){var to,rn,Mn,Br,kr,Pa,Uu,ko,Js;if(Te.match($n)){var Ps=$n.payload,Zs=Ps.queryCacheKey,no=Ps.requestId;return(to=an==null?void 0:an[Zs])!=null&&to[no]&&(an[Zs][no]=Ps.options),!0}if(Ge.match($n)){var ro=$n.payload;return no=ro.requestId,an[Zs=ro.queryCacheKey]&&delete an[Zs][no],!0}if(ft.internalActions.removeQueryResult.match($n))return delete an[$n.payload.queryCacheKey],!0;if(Rt.pending.match($n)){var oo=$n.meta;if(no=oo.requestId,(Vr=oo.arg).subscribe)return(Do=(Mn=an[rn=Vr.queryCacheKey])!=null?Mn:an[rn]={})[no]=(kr=(Br=Vr.subscriptionOptions)!=null?Br:Do[no])!=null?kr:{},!0}if(Rt.rejected.match($n)){var Do,jo=$n.meta,Vr=jo.arg;if(no=jo.requestId,jo.condition&&Vr.subscribe)return(Do=(Uu=an[Pa=Vr.queryCacheKey])!=null?Uu:an[Pa]={})[no]=(Js=(ko=Vr.subscriptionOptions)!=null?ko:Do[no])!=null?Js:{},!0}return!1}(lt.currentSubscriptions,kt);if(on){Se||(es(function(){var an=JSON.parse(JSON.stringify(lt.currentSubscriptions)),$n=(0,Lr.produceWithPatches)(ke,function(){return an});St.next(ft.internalActions.subscriptionsUpdated($n[1])),ke=an,Se=!1}),Se=!0);var ir=!!((Qt=kt.type)!=null&&Qt.startsWith(Qe)),Fn=Rt.rejected.match(kt)&&kt.meta.condition&&!!kt.meta.arg.subscribe;return[!ir&&!Fn,!1]}return[!0,!1]}}(un),pt=function(Ze){var ft=Ze.reducerPath,Rt=Ze.context,lt=Ze.refetchQuery,Qe=Ze.internalState,ke=Ze.api.internalActions.removeQueryResult;function Se(Pe,Te){var Ge=Pe.getState()[ft],kt=Ge.queries,St=Qe.currentSubscriptions;Rt.batch(function(){for(var Ne=0,Qt=Object.keys(St);Ne<Qt.length;Ne++){var dn=Qt[Ne],on=kt[dn],ir=St[dn];ir&&on&&(Object.values(ir).some(function(Fn){return Fn[Te]===!0})||Object.values(ir).every(function(Fn){return Fn[Te]===void 0})&&Ge.config[Te])&&(Object.keys(ir).length===0?Pe.dispatch(ke({queryCacheKey:dn})):on.status!==t.uninitialized&&Pe.dispatch(lt(on,dn)))}})}return function(Pe,Te){ee.match(Pe)&&Se(Te,"refetchOnFocus"),xe.match(Pe)&&Se(Te,"refetchOnReconnect")}}(un);return function(Ze){return function(ft){cn||(cn=!0,Sn.dispatch(Gn.internalActions.middlewareRegistered(En)));var Rt,lt=_(C({},Sn),{next:Ze}),Qe=Sn.getState(),ke=wt(ft,lt,Qe),Se=ke[1];if(Rt=ke[0]?Ze(ft):Se,Sn.getState()[wn]&&(pt(ft,lt,Qe),function(Ge){return!!Ge&&typeof Ge.type=="string"&&Ge.type.startsWith(wn+"/")}(ft)||ar.hasRehydrationInfo(ft)))for(var Pe=0,Te=Be;Pe<Te.length;Pe++)(0,Te[Pe])(ft,lt,Qe);return Rt}}},actions:On};function 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bS=Object.getOwnPropertySymbols,BV=Object.prototype.hasOwnProperty,FV=Object.prototype.propertyIsEnumerable,HV=(e,t)=>{var n={};for(var r in e)BV.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&bS)for(var r of bS(e))t.indexOf(r)<0&&FV.call(e,r)&&(n[r]=e[r]);return n};const WV={position:"bottom",offset:8,positionDependencies:[],transitionProps:{transition:"fade",duration:150},middlewares:{flip:!0,shift:!0,inline:!1},arrowSize:7,arrowOffset:5,arrowRadius:0,arrowPosition:"side",closeOnClickOutside:!0,withinPortal:!1,closeOnEscape:!0,trapFocus:!1,withRoles:!0,returnFocus:!1,clickOutsideEvents:["mousedown","touchstart"],zIndex:j1("popover"),__staticSelector:"Popover",width:"max-content"};function dc(e){var t,n,r,o,s,i;const 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ym={dehydrated:null,treeContext:null,retryLane:0};function bm(l){return{baseLanes:l,cachePool:null,transitions:null}}function bb(l,c,m){var y=c.pendingProps,w=Zn.current,j=!1,A=(c.flags&128)!==0,Q;if((Q=A)||(Q=l!==null&&l.memoizedState===null?!1:(w&2)!==0),Q?(j=!0,c.flags&=-129):(l===null||l.memoizedState!==null)&&(w|=1),At(Zn,w&1),l===null)return Gh(c),l=c.memoizedState,l!==null&&(l=l.dehydrated,l!==null)?(c.mode&1?ks(l)?c.lanes=8:c.lanes=1073741824:c.lanes=1,null):(A=y.children,l=y.fallback,j?(y=c.mode,j=c.child,A={mode:"hidden",children:A},!(y&1)&&j!==null?(j.childLanes=0,j.pendingProps=A):j=jd(A,y,0,null),l=gi(l,y,m,null),j.return=c,l.return=c,j.sibling=l,c.child=j,c.child.memoizedState=bm(m),c.memoizedState=ym,l):xm(c,A));if(w=l.memoizedState,w!==null&&(Q=w.dehydrated,Q!==null))return KI(l,c,A,y,Q,w,m);if(j){j=y.fallback,A=c.mode,w=l.child,Q=w.sibling;var 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c.flags&256?(c.flags&=-257,y=hm(Error(i(422))),ad(l,c,A,y)):c.memoizedState!==null?(c.child=l.child,c.flags|=128,null):(j=y.fallback,w=c.mode,y=jd({mode:"visible",children:y.children},w,0,null),j=gi(j,w,A,null),j.flags|=2,y.return=c,j.return=c,y.sibling=j,c.child=y,c.mode&1&&Ji(c,l.child,null,A),c.child.memoizedState=bm(A),c.memoizedState=ym,j);if(!(c.mode&1))return ad(l,c,A,null);if(ks(w))return y=ts(w).digest,j=Error(i(419)),y=hm(j,y,void 0),ad(l,c,A,y);if(m=(A&l.childLanes)!==0,fo||m){if(y=Tr,y!==null){switch(A&-A){case 4:w=2;break;case 16:w=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:w=32;break;case 536870912:w=268435456;break;default:w=0}w=w&(y.suspendedLanes|A)?0:w,w!==0&&w!==j.retryLane&&(j.retryLane=w,Is(l,w),zo(y,l,w,-1))}return Bm(),y=hm(Error(i(421))),ad(l,c,A,y)}return Dr(w)?(c.flags|=128,c.child=l.child,c=iE.bind(null,l),Xs(w,c),null):(l=j.treeContext,Re&&(Ao=le(w),Po=c,qn=!0,ns=null,hc=!1,l!==null&&(ro[oo++]=jo,ro[oo++]=Vr,ro[oo++]=Do,jo=l.id,Vr=l.overflow,Do=c)),c=xm(c,y.children),c.flags|=4096,c)}function xb(l,c,m){l.lanes|=c;var y=l.alternate;y!==null&&(y.lanes|=c),Xh(l.return,c,m)}function wm(l,c,m,y,w){var j=l.memoizedState;j===null?l.memoizedState={isBackwards:c,rendering:null,renderingStartTime:0,last:y,tail:m,tailMode:w}:(j.isBackwards=c,j.rendering=null,j.renderingStartTime=0,j.last=y,j.tail=m,j.tailMode=w)}function wb(l,c,m){var y=c.pendingProps,w=y.revealOrder,j=y.tail;if(so(l,c,y.children,m),y=Zn.current,y&2)y=y&1|2,c.flags|=128;else{if(l!==null&&l.flags&128)e:for(l=c.child;l!==null;){if(l.tag===13)l.memoizedState!==null&&xb(l,m,c);else if(l.tag===19)xb(l,m,c);else if(l.child!==null){l.child.return=l,l=l.child;continue}if(l===c)break e;for(;l.sibling===null;){if(l.return===null||l.return===c)break 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c.child}function QI(l,c,m){switch(c.tag){case 3:vb(c),Qi();break;case 5:zy(c);break;case 1:Un(c.type)&&Gn(c);break;case 4:nm(c,c.stateNode.containerInfo);break;case 10:jy(c,c.type._context,c.memoizedProps.value);break;case 13:var y=c.memoizedState;if(y!==null)return y.dehydrated!==null?(At(Zn,Zn.current&1),c.flags|=128,null):m&c.child.childLanes?bb(l,c,m):(At(Zn,Zn.current&1),l=ta(l,c,m),l!==null?l.sibling:null);At(Zn,Zn.current&1);break;case 19:if(y=(m&c.childLanes)!==0,l.flags&128){if(y)return wb(l,c,m);c.flags|=128}var w=c.memoizedState;if(w!==null&&(w.rendering=null,w.tail=null,w.lastEffect=null),At(Zn,Zn.current),y)break;return null;case 22:case 23:return c.lanes=0,hb(l,c,m)}return ta(l,c,m)}function Ms(l){l.flags|=4}function Sb(l,c){if(l!==null&&l.child===c.child)return!0;if(c.flags&16)return!1;for(l=c.child;l!==null;){if(l.flags&12854||l.subtreeFlags&12854)return!1;l=l.sibling}return!0}var Sc,Cc,ld,cd;if(de)Sc=function(l,c){for(var m=c.child;m!==null;){if(m.tag===5||m.tag===6)xe(l,m.stateNode);else if(m.tag!==4&&m.child!==null){m.child.return=m,m=m.child;continue}if(m===c)break;for(;m.sibling===null;){if(m.return===null||m.return===c)return;m=m.return}m.sibling.return=m.return,m=m.sibling}},Cc=function(){},ld=function(l,c,m,y,w){if(l=l.memoizedProps,l!==y){var j=c.stateNode,A=Es(No.current);m=ae(j,m,l,y,w,A),(c.updateQueue=m)&&Ms(c)}},cd=function(l,c,m,y){m!==y&&Ms(c)};else if(Ce){Sc=function(l,c,m,y){for(var w=c.child;w!==null;){if(w.tag===5){var j=w.stateNode;m&&y&&(j=Rr(j,w.type,w.memoizedProps,w)),xe(l,j)}else if(w.tag===6)j=w.stateNode,m&&y&&(j=_o(j,w.memoizedProps,w)),xe(l,j);else if(w.tag!==4){if(w.tag===22&&w.memoizedState!==null)j=w.child,j!==null&&(j.return=w),Sc(l,w,!0,!0);else if(w.child!==null){w.child.return=w,w=w.child;continue}}if(w===c)break;for(;w.sibling===null;){if(w.return===null||w.return===c)return;w=w.return}w.sibling.return=w.return,w=w.sibling}};var Cb=function(l,c,m,y){for(var w=c.child;w!==null;){if(w.tag===5){var j=w.stateNode;m&&y&&(j=Rr(j,w.type,w.memoizedProps,w)),An(l,j)}else if(w.tag===6)j=w.stateNode,m&&y&&(j=_o(j,w.memoizedProps,w)),An(l,j);else if(w.tag!==4){if(w.tag===22&&w.memoizedState!==null)j=w.child,j!==null&&(j.return=w),Cb(l,w,!0,!0);else if(w.child!==null){w.child.return=w,w=w.child;continue}}if(w===c)break;for(;w.sibling===null;){if(w.return===null||w.return===c)return;w=w.return}w.sibling.return=w.return,w=w.sibling}};Cc=function(l,c){var m=c.stateNode;if(!Sb(l,c)){l=m.containerInfo;var y=dr(l);Cb(y,c,!1,!1),m.pendingChildren=y,Ms(c),Tn(l,y)}},ld=function(l,c,m,y,w){var j=l.stateNode,A=l.memoizedProps;if((l=Sb(l,c))&&A===y)c.stateNode=j;else{var Q=c.stateNode,se=Es(No.current),Ee=null;A!==y&&(Ee=ae(Q,m,A,y,w,se)),l&&Ee===null?c.stateNode=j:(j=$r(j,Ee,m,A,y,c,l,Q),me(j,m,y,w,se)&&Ms(c),c.stateNode=j,l?Ms(c):Sc(j,c,!1,!1))}},cd=function(l,c,m,y){m!==y?(l=Es(Zi.current),m=Es(No.current),c.stateNode=H(y,l,m,c),Ms(c)):c.stateNode=l.stateNode}}else Cc=function(){},ld=function(){},cd=function(){};function _c(l,c){if(!qn)switch(l.tailMode){case"hidden":c=l.tail;for(var m=null;c!==null;)c.alternate!==null&&(m=c),c=c.sibling;m===null?l.tail=null:m.sibling=null;break;case"collapsed":m=l.tail;for(var y=null;m!==null;)m.alternate!==null&&(y=m),m=m.sibling;y===null?c||l.tail===null?l.tail=null:l.tail.sibling=null:y.sibling=null}}function Gr(l){var c=l.alternate!==null&&l.alternate.child===l.child,m=0,y=0;if(c)for(var w=l.child;w!==null;)m|=w.lanes|w.childLanes,y|=w.subtreeFlags&14680064,y|=w.flags&14680064,w.return=l,w=w.sibling;else for(w=l.child;w!==null;)m|=w.lanes|w.childLanes,y|=w.subtreeFlags,y|=w.flags,w.return=l,w=w.sibling;return l.subtreeFlags|=y,l.childLanes=m,c}function YI(l,c,m){var y=c.pendingProps;switch(Vh(c),c.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Gr(c),null;case 1:return Un(c.type)&&yt(),Gr(c),null;case 3:return m=c.stateNode,el(),_t(tn),_t(zt),sm(),m.pendingContext&&(m.context=m.pendingContext,m.pendingContext=null),(l===null||l.child===null)&&(Gu(c)?Ms(c):l===null||l.memoizedState.isDehydrated&&!(c.flags&256)||(c.flags|=1024,ns!==null&&(zm(ns),ns=null))),Cc(l,c),Gr(c),null;case 5:rm(c),m=Es(Zi.current);var w=c.type;if(l!==null&&c.stateNode!=null)ld(l,c,w,y,m),l.ref!==c.ref&&(c.flags|=512,c.flags|=2097152);else{if(!y){if(c.stateNode===null)throw Error(i(166));return Gr(c),null}if(l=Es(No.current),Gu(c)){if(!Re)throw Error(i(175));l=we(c.stateNode,c.type,c.memoizedProps,m,l,c,!hc),c.updateQueue=l,l!==null&&Ms(c)}else{var j=ie(w,y,m,l,c);Sc(j,c,!1,!1),c.stateNode=j,me(j,w,y,m,l)&&Ms(c)}c.ref!==null&&(c.flags|=512,c.flags|=2097152)}return Gr(c),null;case 6:if(l&&c.stateNode!=null)cd(l,c,l.memoizedProps,y);else{if(typeof y!="string"&&c.stateNode===null)throw Error(i(166));if(l=Es(Zi.current),m=Es(No.current),Gu(c)){if(!Re)throw Error(i(176));if(l=c.stateNode,m=c.memoizedProps,(y=ce(l,m,c,!hc))&&(w=Po,w!==null))switch(w.tag){case 3:Fe(w.stateNode.containerInfo,l,m,(w.mode&1)!==0);break;case 5:ht(w.type,w.memoizedProps,w.stateNode,l,m,(w.mode&1)!==0)}y&&Ms(c)}else c.stateNode=H(y,l,m,c)}return Gr(c),null;case 13:if(_t(Zn),y=c.memoizedState,l===null||l.memoizedState!==null&&l.memoizedState.dehydrated!==null){if(qn&&Ao!==null&&c.mode&1&&!(c.flags&128))ky(),Qi(),c.flags|=98560,w=!1;else if(w=Gu(c),y!==null&&y.dehydrated!==null){if(l===null){if(!w)throw Error(i(318));if(!Re)throw Error(i(344));if(w=c.memoizedState,w=w!==null?w.dehydrated:null,!w)throw Error(i(317));nt(w,c)}else Qi(),!(c.flags&128)&&(c.memoizedState=null),c.flags|=4;Gr(c),w=!1}else ns!==null&&(zm(ns),ns=null),w=!0;if(!w)return c.flags&65536?c:null}return 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diff --git a/invokeai/frontend/web/dist/assets/MantineProvider-b5842fc1.js b/invokeai/frontend/web/dist/assets/MantineProvider-b5842fc1.js
deleted file mode 100644
index d479487e00..0000000000
--- a/invokeai/frontend/web/dist/assets/MantineProvider-b5842fc1.js
+++ /dev/null
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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a6269375.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a6269375.js
deleted file mode 100644
index b1b3abea4e..0000000000
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a6269375.js
+++ /dev/null
@@ -1,302 +0,0 @@
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index cf22438196..0000000000
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r=this.events[t].add(n);return t==="change"?()=>{r(),kt.read(()=>{this.events.change.getSize()||this.stop()})}:r}clearListeners(){for(const t in this.events)this.events[t].clear()}attach(t,n){this.passiveEffect=t,this.stopPassiveEffect=n}set(t,n=!0){!n||!this.passiveEffect?this.updateAndNotify(t,n):this.passiveEffect(t,this.updateAndNotify)}setWithVelocity(t,n,r){this.set(n),this.prev=t,this.timeDelta=r}jump(t){this.updateAndNotify(t),this.prev=t,this.stop(),this.stopPassiveEffect&&this.stopPassiveEffect()}get(){return this.current}getPrevious(){return this.prev}getVelocity(){return this.canTrackVelocity?FM(parseFloat(this.current)-parseFloat(this.prev),this.timeDelta):0}start(t){return this.stop(),new 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f=e.getValue(d),h=a[d];if(!f||h===void 0||c&&Gre(c,d))continue;const p={delay:n,elapsed:0,...o};if(window.HandoffAppearAnimations&&!f.hasAnimated){const S=e.getProps()[kne];S&&(p.elapsed=window.HandoffAppearAnimations(S,d,f,kt))}f.start(R5(d,f,h,e.shouldReduceMotion&&Rl.has(d)?{type:!1}:p));const m=f.animation;xy(l)&&(l.add(d),m.then(()=>l.remove(d))),u.push(m)}return s&&Promise.all(u).then(()=>{s&&jre(e,s)}),u}function dw(e,t,n={}){const r=Mv(e,t,n.custom);let{transition:i=e.getDefaultTransition()||{}}=r||{};n.transitionOverride&&(i=n.transitionOverride);const o=r?()=>Promise.all(qM(e,r,n)):()=>Promise.resolve(),s=e.variantChildren&&e.variantChildren.size?(l=0)=>{const{delayChildren:u=0,staggerChildren:c,staggerDirection:d}=i;return Hre(e,t,u+l,c,d,n)}:()=>Promise.resolve(),{when:a}=i;if(a){const[l,u]=a==="beforeChildren"?[o,s]:[s,o];return l().then(()=>u())}else return Promise.all([o(),s(n.delay)])}function Hre(e,t,n=0,r=0,i=1,o){const s=[],a=(e.variantChildren.size-1)*r,l=i===1?(u=0)=>u*r:(u=0)=>a-u*r;return Array.from(e.variantChildren).sort(qre).forEach((u,c)=>{u.notify("AnimationStart",t),s.push(dw(u,t,{...o,delay:n+l(c)}).then(()=>u.notify("AnimationComplete",t)))}),Promise.all(s)}function qre(e,t){return e.sortNodePosition(t)}function Wre(e,t,n={}){e.notify("AnimationStart",t);let r;if(Array.isArray(t)){const i=t.map(o=>dw(e,o,n));r=Promise.all(i)}else if(typeof t=="string")r=dw(e,t,n);else{const i=typeof t=="function"?Mv(e,t,n.custom):t;r=Promise.all(qM(e,i,n))}return r.then(()=>e.notify("AnimationComplete",t))}const Kre=[...g5].reverse(),Yre=g5.length;function Xre(e){return t=>Promise.all(t.map(({animation:n,options:r})=>Wre(e,n,r)))}function Qre(e){let t=Xre(e);const n=Jre();let r=!0;const i=(l,u)=>{const c=Mv(e,u);if(c){const{transition:d,transitionEnd:f,...h}=c;l={...l,...h,...f}}return l};function o(l){t=l(e)}function s(l,u){const c=e.getProps(),d=e.getVariantContext(!0)||{},f=[],h=new Set;let p={},m=1/0;for(let v=0;v<Yre;v++){const y=Kre[v],g=n[y],b=c[y]!==void 0?c[y]:d[y],_=eh(b),w=y===u?g.isActive:null;w===!1&&(m=v);let x=b===d[y]&&b!==c[y]&&_;if(x&&r&&e.manuallyAnimateOnMount&&(x=!1),g.protectedKeys={...p},!g.isActive&&w===null||!b&&!g.prevProp||Av(b)||typeof b=="boolean")continue;const C=Zre(g.prevProp,b);let k=C||y===u&&g.isActive&&!x&&_||v>m&&_;const P=Array.isArray(b)?b:[b];let A=P.reduce(i,{});w===!1&&(A={});const{prevResolvedValues:$={}}=g,N={...$,...A},T=O=>{k=!0,h.delete(O),g.needsAnimating[O]=!0};for(const O in N){const I=A[O],M=$[O];p.hasOwnProperty(O)||(I!==M?by(I)&&by(M)?!pM(I,M)||C?T(O):g.protectedKeys[O]=!0:I!==void 0?T(O):h.add(O):I!==void 0&&h.has(O)?T(O):g.protectedKeys[O]=!0)}g.prevProp=b,g.prevResolvedValues=A,g.isActive&&(p={...p,...A}),r&&e.blockInitialAnimation&&(k=!1),k&&!x&&f.push(...P.map(O=>({animation:O,options:{type:y,...l}})))}if(h.size){const v={};h.forEach(y=>{const g=e.getBaseTarget(y);g!==void 0&&(v[y]=g)}),f.push({animation:v})}let S=!!f.length;return r&&c.initial===!1&&!e.manuallyAnimateOnMount&&(S=!1),r=!1,S?t(f):Promise.resolve()}function a(l,u,c){var d;if(n[l].isActive===u)return Promise.resolve();(d=e.variantChildren)===null||d===void 0||d.forEach(h=>{var p;return(p=h.animationState)===null||p===void 0?void 0:p.setActive(l,u)}),n[l].isActive=u;const f=s(c,l);for(const h in n)n[h].protectedKeys={};return f}return{animateChanges:s,setActive:a,setAnimateFunction:o,getState:()=>n}}function Zre(e,t){return typeof t=="string"?t!==e:Array.isArray(t)?!pM(t,e):!1}function La(e=!1){return{isActive:e,protectedKeys:{},needsAnimating:{},prevResolvedValues:{}}}function Jre(){return{animate:La(!0),whileInView:La(),whileHover:La(),whileTap:La(),whileDrag:La(),whileFocus:La(),exit:La()}}class eie extends Ea{constructor(t){super(t),t.animationState||(t.animationState=Qre(t))}updateAnimationControlsSubscription(){const{animate:t}=this.node.getProps();this.unmount(),Av(t)&&(this.unmount=t.subscribe(this.node))}mount(){this.updateAnimationControlsSubscription()}update(){const{animate:t}=this.node.getProps(),{animate:n}=this.node.prevProps||{};t!==n&&this.updateAnimationControlsSubscription()}unmount(){}}let tie=0;class nie extends Ea{constructor(){super(...arguments),this.id=tie++}update(){if(!this.node.presenceContext)return;const{isPresent:t,onExitComplete:n,custom:r}=this.node.presenceContext,{isPresent:i}=this.node.prevPresenceContext||{};if(!this.node.animationState||t===i)return;const o=this.node.animationState.setActive("exit",!t,{custom:r??this.node.getProps().custom});n&&!t&&o.then(()=>n(this.id))}mount(){const{register:t}=this.node.presenceContext||{};t&&(this.unmount=t(this.id))}unmount(){}}const rie={animation:{Feature:eie},exit:{Feature:nie}},yP=(e,t)=>Math.abs(e-t);function iie(e,t){const n=yP(e.x,t.x),r=yP(e.y,t.y);return Math.sqrt(n**2+r**2)}class WM{constructor(t,n,{transformPagePoint:r}={}){if(this.startEvent=null,this.lastMoveEvent=null,this.lastMoveEventInfo=null,this.handlers={},this.updatePoint=()=>{if(!(this.lastMoveEvent&&this.lastMoveEventInfo))return;const u=jS(this.lastMoveEventInfo,this.history),c=this.startEvent!==null,d=iie(u.offset,{x:0,y:0})>=3;if(!c&&!d)return;const{point:f}=u,{timestamp:h}=Xn;this.history.push({...f,timestamp:h});const{onStart:p,onMove:m}=this.handlers;c||(p&&p(this.lastMoveEvent,u),this.startEvent=this.lastMoveEvent),m&&m(this.lastMoveEvent,u)},this.handlePointerMove=(u,c)=>{this.lastMoveEvent=u,this.lastMoveEventInfo=BS(c,this.transformPagePoint),kt.update(this.updatePoint,!0)},this.handlePointerUp=(u,c)=>{if(this.end(),!(this.lastMoveEvent&&this.lastMoveEventInfo))return;const{onEnd:d,onSessionEnd:f}=this.handlers,h=jS(u.type==="pointercancel"?this.lastMoveEventInfo:BS(c,this.transformPagePoint),this.history);this.startEvent&&d&&d(u,h),f&&f(u,h)},!uM(t))return;this.handlers=n,this.transformPagePoint=r;const i=Iv(t),o=BS(i,this.transformPagePoint),{point:s}=o,{timestamp:a}=Xn;this.history=[{...s,timestamp:a}];const{onSessionStart:l}=n;l&&l(t,jS(o,this.history)),this.removeListeners=ea(es(window,"pointermove",this.handlePointerMove),es(window,"pointerup",this.handlePointerUp),es(window,"pointercancel",this.handlePointerUp))}updateHandlers(t){this.handlers=t}end(){this.removeListeners&&this.removeListeners(),cs(this.updatePoint)}}function BS(e,t){return t?{point:t(e.point)}:e}function vP(e,t){return{x:e.x-t.x,y:e.y-t.y}}function jS({point:e},t){return{point:e,delta:vP(e,KM(t)),offset:vP(e,oie(t)),velocity:sie(t,.1)}}function oie(e){return e[0]}function KM(e){return e[e.length-1]}function sie(e,t){if(e.length<2)return{x:0,y:0};let n=e.length-1,r=null;const i=KM(e);for(;n>=0&&(r=e[n],!(i.timestamp-r.timestamp>ta(t)));)n--;if(!r)return{x:0,y:0};const o=ts(i.timestamp-r.timestamp);if(o===0)return{x:0,y:0};const s={x:(i.x-r.x)/o,y:(i.y-r.y)/o};return s.x===1/0&&(s.x=0),s.y===1/0&&(s.y=0),s}function Hr(e){return e.max-e.min}function fw(e,t=0,n=.01){return Math.abs(e-t)<=n}function bP(e,t,n,r=.5){e.origin=r,e.originPoint=Dt(t.min,t.max,e.origin),e.scale=Hr(n)/Hr(t),(fw(e.scale,1,1e-4)||isNaN(e.scale))&&(e.scale=1),e.translate=Dt(n.min,n.max,e.origin)-e.originPoint,(fw(e.translate)||isNaN(e.translate))&&(e.translate=0)}function df(e,t,n,r){bP(e.x,t.x,n.x,r?r.originX:void 0),bP(e.y,t.y,n.y,r?r.originY:void 0)}function SP(e,t,n){e.min=n.min+t.min,e.max=e.min+Hr(t)}function aie(e,t,n){SP(e.x,t.x,n.x),SP(e.y,t.y,n.y)}function _P(e,t,n){e.min=t.min-n.min,e.max=e.min+Hr(t)}function ff(e,t,n){_P(e.x,t.x,n.x),_P(e.y,t.y,n.y)}function lie(e,{min:t,max:n},r){return t!==void 0&&e<t?e=r?Dt(t,e,r.min):Math.max(e,t):n!==void 0&&e>n&&(e=r?Dt(n,e,r.max):Math.min(e,n)),e}function wP(e,t,n){return{min:t!==void 0?e.min+t:void 0,max:n!==void 0?e.max+n-(e.max-e.min):void 0}}function uie(e,{top:t,left:n,bottom:r,right:i}){return{x:wP(e.x,n,i),y:wP(e.y,t,r)}}function xP(e,t){let n=t.min-e.min,r=t.max-e.max;return t.max-t.min<e.max-e.min&&([n,r]=[r,n]),{min:n,max:r}}function cie(e,t){return{x:xP(e.x,t.x),y:xP(e.y,t.y)}}function die(e,t){let n=.5;const r=Hr(e),i=Hr(t);return i>r?n=nh(t.min,t.max-r,e.min):r>i&&(n=nh(e.min,e.max-i,t.min)),fa(0,1,n)}function fie(e,t){const n={};return t.min!==void 0&&(n.min=t.min-e.min),t.max!==void 0&&(n.max=t.max-e.min),n}const hw=.35;function hie(e=hw){return e===!1?e=0:e===!0&&(e=hw),{x:CP(e,"left","right"),y:CP(e,"top","bottom")}}function CP(e,t,n){return{min:TP(e,t),max:TP(e,n)}}function TP(e,t){return typeof e=="number"?e:e[t]||0}const EP=()=>({translate:0,scale:1,origin:0,originPoint:0}),Mu=()=>({x:EP(),y:EP()}),PP=()=>({min:0,max:0}),en=()=>({x:PP(),y:PP()});function Zi(e){return[e("x"),e("y")]}function YM({top:e,left:t,right:n,bottom:r}){return{x:{min:t,max:n},y:{min:e,max:r}}}function pie({x:e,y:t}){return{top:t.min,right:e.max,bottom:t.max,left:e.min}}function gie(e,t){if(!t)return e;const n=t({x:e.left,y:e.top}),r=t({x:e.right,y:e.bottom});return{top:n.y,left:n.x,bottom:r.y,right:r.x}}function VS(e){return e===void 0||e===1}function pw({scale:e,scaleX:t,scaleY:n}){return!VS(e)||!VS(t)||!VS(n)}function Ga(e){return pw(e)||XM(e)||e.z||e.rotate||e.rotateX||e.rotateY}function XM(e){return kP(e.x)||kP(e.y)}function kP(e){return e&&e!=="0%"}function Cy(e,t,n){const r=e-n,i=t*r;return n+i}function AP(e,t,n,r,i){return i!==void 0&&(e=Cy(e,i,r)),Cy(e,n,r)+t}function gw(e,t=0,n=1,r,i){e.min=AP(e.min,t,n,r,i),e.max=AP(e.max,t,n,r,i)}function QM(e,{x:t,y:n}){gw(e.x,t.translate,t.scale,t.originPoint),gw(e.y,n.translate,n.scale,n.originPoint)}function mie(e,t,n,r=!1){const i=n.length;if(!i)return;t.x=t.y=1;let o,s;for(let a=0;a<i;a++){o=n[a],s=o.projectionDelta;const l=o.instance;l&&l.style&&l.style.display==="contents"||(r&&o.options.layoutScroll&&o.scroll&&o!==o.root&&Nu(e,{x:-o.scroll.offset.x,y:-o.scroll.offset.y}),s&&(t.x*=s.x.scale,t.y*=s.y.scale,QM(e,s)),r&&Ga(o.latestValues)&&Nu(e,o.latestValues))}t.x=OP(t.x),t.y=OP(t.y)}function OP(e){return Number.isInteger(e)||e>1.0000000000001||e<.999999999999?e:1}function Ns(e,t){e.min=e.min+t,e.max=e.max+t}function RP(e,t,[n,r,i]){const o=t[i]!==void 0?t[i]:.5,s=Dt(e.min,e.max,o);gw(e,t[n],t[r],s,t.scale)}const yie=["x","scaleX","originX"],vie=["y","scaleY","originY"];function Nu(e,t){RP(e.x,t,yie),RP(e.y,t,vie)}function ZM(e,t){return YM(gie(e.getBoundingClientRect(),t))}function bie(e,t,n){const r=ZM(e,n),{scroll:i}=t;return i&&(Ns(r.x,i.offset.x),Ns(r.y,i.offset.y)),r}const Sie=new WeakMap;class _ie{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=en(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:r}=this.visualElement;if(r&&r.isPresent===!1)return;const i=l=>{this.stopAnimation(),n&&this.snapToCursor(Iv(l,"page").point)},o=(l,u)=>{const{drag:c,dragPropagation:d,onDragStart:f}=this.getProps();if(c&&!d&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=dM(c),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),Zi(p=>{let m=this.getAxisMotionValue(p).get()||0;if(bo.test(m)){const{projection:S}=this.visualElement;if(S&&S.layout){const v=S.layout.layoutBox[p];v&&(m=Hr(v)*(parseFloat(m)/100))}}this.originPoint[p]=m}),f&&kt.update(()=>f(l,u),!1,!0);const{animationState:h}=this.visualElement;h&&h.setActive("whileDrag",!0)},s=(l,u)=>{const{dragPropagation:c,dragDirectionLock:d,onDirectionLock:f,onDrag:h}=this.getProps();if(!c&&!this.openGlobalLock)return;const{offset:p}=u;if(d&&this.currentDirection===null){this.currentDirection=wie(p),this.currentDirection!==null&&f&&f(this.currentDirection);return}this.updateAxis("x",u.point,p),this.updateAxis("y",u.point,p),this.visualElement.render(),h&&h(l,u)},a=(l,u)=>this.stop(l,u);this.panSession=new WM(t,{onSessionStart:i,onStart:o,onMove:s,onSessionEnd:a},{transformPagePoint:this.visualElement.getTransformPagePoint()})}stop(t,n){const r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&kt.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!ag(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=lie(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&Ru(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=uie(r.layoutBox,t):this.constraints=!1,this.elastic=hie(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Zi(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=fie(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Ru(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=bie(r,i.root,this.visualElement.getTransformPagePoint());let s=cie(i.layout.layoutBox,o);if(n){const a=n(pie(s));this.hasMutatedConstraints=!!a,a&&(s=YM(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Zi(c=>{if(!ag(c,n,this.currentDirection))return;let d=l&&l[c]||{};s&&(d={min:0,max:0});const f=i?200:1e6,h=i?40:1e7,p={type:"inertia",velocity:r?t[c]:0,bounceStiffness:f,bounceDamping:h,timeConstant:750,restDelta:1,restSpeed:10,...o,...d};return this.startAxisValueAnimation(c,p)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(R5(t,r,0,n))}stopAnimation(){Zi(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Zi(n=>{const{drag:r}=this.getProps();if(!ag(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-Dt(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Ru(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Zi(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=die({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Zi(s=>{if(!ag(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(Dt(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;Sie.set(this.visualElement,this);const t=this.visualElement.current,n=es(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Ru(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=Qo(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Zi(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=hw,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function ag(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function wie(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class xie extends Ea{constructor(t){super(t),this.removeGroupControls=on,this.removeListeners=on,this.controls=new _ie(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||on}unmount(){this.removeGroupControls(),this.removeListeners()}}const IP=e=>(t,n)=>{e&&kt.update(()=>e(t,n))};class Cie extends Ea{constructor(){super(...arguments),this.removePointerDownListener=on}onPointerDown(t){this.session=new WM(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:IP(t),onStart:IP(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&kt.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=es(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function Tie(){const e=E.useContext(rp);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=E.useId();return E.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function Eie(){return Pie(E.useContext(rp))}function Pie(e){return e===null?!0:e.isPresent}const om={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function MP(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const bd={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(we.test(e))e=parseFloat(e);else return e;const n=MP(e,t.target.x),r=MP(e,t.target.y);return`${n}% ${r}%`}},kie={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=ha.parse(e);if(i.length>5)return r;const o=ha.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=Dt(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class Aie extends ze.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;Dte(Oie),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),om.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||kt.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function JM(e){const[t,n]=Tie(),r=E.useContext(y5);return ze.createElement(Aie,{...e,layoutGroup:r,switchLayoutGroup:E.useContext(K7),isPresent:t,safeToRemove:n})}const Oie={borderRadius:{...bd,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:bd,borderTopRightRadius:bd,borderBottomLeftRadius:bd,borderBottomRightRadius:bd,boxShadow:kie},eN=["TopLeft","TopRight","BottomLeft","BottomRight"],Rie=eN.length,NP=e=>typeof e=="string"?parseFloat(e):e,DP=e=>typeof e=="number"||we.test(e);function Iie(e,t,n,r,i,o){i?(e.opacity=Dt(0,n.opacity!==void 0?n.opacity:1,Mie(r)),e.opacityExit=Dt(t.opacity!==void 0?t.opacity:1,0,Nie(r))):o&&(e.opacity=Dt(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<Rie;s++){const a=`border${eN[s]}Radius`;let l=LP(t,a),u=LP(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||DP(l)===DP(u)?(e[a]=Math.max(Dt(NP(l),NP(u),r),0),(bo.test(u)||bo.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=Dt(t.rotate||0,n.rotate||0,r))}function LP(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const Mie=tN(0,.5,P5),Nie=tN(.5,.95,on);function tN(e,t,n){return r=>r<e?0:r>t?1:n(nh(e,t,r))}function $P(e,t){e.min=t.min,e.max=t.max}function ei(e,t){$P(e.x,t.x),$P(e.y,t.y)}function FP(e,t,n,r,i){return e-=t,e=Cy(e,1/n,r),i!==void 0&&(e=Cy(e,1/i,r)),e}function Die(e,t=0,n=1,r=.5,i,o=e,s=e){if(bo.test(t)&&(t=parseFloat(t),t=Dt(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=Dt(o.min,o.max,r);e===o&&(a-=t),e.min=FP(e.min,t,n,a,i),e.max=FP(e.max,t,n,a,i)}function BP(e,t,[n,r,i],o,s){Die(e,t[n],t[r],t[i],t.scale,o,s)}const Lie=["x","scaleX","originX"],$ie=["y","scaleY","originY"];function jP(e,t,n,r){BP(e.x,t,Lie,n?n.x:void 0,r?r.x:void 0),BP(e.y,t,$ie,n?n.y:void 0,r?r.y:void 0)}function VP(e){return e.translate===0&&e.scale===1}function nN(e){return VP(e.x)&&VP(e.y)}function mw(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function zP(e){return Hr(e.x)/Hr(e.y)}class Fie{constructor(){this.members=[]}add(t){I5(this.members,t),t.scheduleRender()}remove(t){if(M5(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function UP(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const Bie=(e,t)=>e.depth-t.depth;class jie{constructor(){this.children=[],this.isDirty=!1}add(t){I5(this.children,t),this.isDirty=!0}remove(t){M5(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(Bie),this.isDirty=!1,this.children.forEach(t)}}function Vie(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(cs(r),e(o-t))};return kt.read(r,!0),()=>cs(r)}function zie(e){window.MotionDebug&&window.MotionDebug.record(e)}function Uie(e){return e instanceof SVGElement&&e.tagName!=="svg"}function Gie(e,t,n){const r=Nr(e)?e:_c(e);return r.start(R5("",r,t,n)),r.animation}const GP=["","X","Y","Z"],HP=1e3;let Hie=0;const Ha={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function rN({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=Hie++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ha.totalNodes=Ha.resolvedTargetDeltas=Ha.recalculatedProjection=0,this.nodes.forEach(Kie),this.nodes.forEach(Jie),this.nodes.forEach(eoe),this.nodes.forEach(Yie),zie(Ha)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new jie)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new N5),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=Uie(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=Vie(f,250),om.hasAnimatedSinceResize&&(om.hasAnimatedSinceResize=!1,this.nodes.forEach(WP))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||ooe,{onLayoutAnimationStart:S,onLayoutAnimationComplete:v}=c.getProps(),y=!this.targetLayout||!mw(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const b={...UM(m,"layout"),onPlay:S,onComplete:v};(c.shouldReduceMotion||this.options.layoutRoot)&&(b.delay=0,b.type=!1),this.startAnimation(b)}else f||WP(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,cs(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(toe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(qP);return}this.isUpdating||this.nodes.forEach(Qie),this.isUpdating=!1,this.nodes.forEach(Zie),this.nodes.forEach(qie),this.nodes.forEach(Wie),this.clearAllSnapshots();const a=performance.now();Xn.delta=fa(0,1e3/60,a-Xn.timestamp),Xn.timestamp=a,Xn.isProcessing=!0,OS.update.process(Xn),OS.preRender.process(Xn),OS.render.process(Xn),Xn.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(Xie),this.sharedNodes.forEach(noe)}scheduleUpdateProjection(){kt.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){kt.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=en(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!nN(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Ga(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),soe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return en();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Ns(a.x,l.offset.x),Ns(a.y,l.offset.y)),a}removeElementScroll(s){const a=en();ei(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){ei(a,s);const{scroll:f}=this.root;f&&(Ns(a.x,-f.offset.x),Ns(a.y,-f.offset.y))}Ns(a.x,c.offset.x),Ns(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=en();ei(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Nu(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Ga(c.latestValues)&&Nu(l,c.latestValues)}return Ga(this.latestValues)&&Nu(l,this.latestValues),l}removeTransform(s){const a=en();ei(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ga(u.latestValues))continue;pw(u.latestValues)&&u.updateSnapshot();const c=en(),d=u.measurePageBox();ei(c,d),jP(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Ga(this.latestValues)&&jP(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Xn.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=Xn.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=en(),this.relativeTargetOrigin=en(),ff(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),ei(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=en(),this.targetWithTransforms=en()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),aie(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):ei(this.target,this.layout.layoutBox),QM(this.target,this.targetDelta)):ei(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=en(),this.relativeTargetOrigin=en(),ff(this.relativeTargetOrigin,this.target,h.target),ei(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ha.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||pw(this.parent.latestValues)||XM(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Xn.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;ei(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;mie(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=Mu(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Mu(),this.projectionDeltaWithTransform=Mu());const m=this.projectionTransform;df(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=UP(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Ha.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Mu();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=en(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,S=this.getStack(),v=!S||S.members.length<=1,y=!!(m&&!v&&this.options.crossfade===!0&&!this.path.some(ioe));this.animationProgress=0;let g;this.mixTargetDelta=b=>{const _=b/1e3;KP(d.x,s.x,_),KP(d.y,s.y,_),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(ff(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),roe(this.relativeTarget,this.relativeTargetOrigin,f,_),g&&mw(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=en()),ei(g,this.relativeTarget)),m&&(this.animationValues=c,Iie(c,u,this.latestValues,_,y,v)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=_},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(cs(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=kt.update(()=>{om.hasAnimatedSinceResize=!0,this.currentAnimation=Gie(0,HP,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HP),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&iN(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||en();const d=Hr(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Hr(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}ei(a,l),Nu(a,c),df(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new Fie),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<GP.length;c++){const d="rotate"+GP[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=im(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=im(s.pointerEvents)||""),this.hasProjected&&!Ga(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=UP(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in yy){if(f[m]===void 0)continue;const{correct:S,applyTo:v}=yy[m],y=u.transform==="none"?f[m]:S(f[m],d);if(v){const g=v.length;for(let b=0;b<g;b++)u[v[b]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?im(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(qP),this.root.sharedNodes.clear()}}}function qie(e){e.updateLayout()}function Wie(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Zi(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Hr(f);f.min=r[d].min,f.max=f.min+h}):iN(o,n.layoutBox,r)&&Zi(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Hr(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=Mu();df(a,r,n.layoutBox);const l=Mu();s?df(l,e.applyTransform(i,!0),n.measuredBox):df(l,r,n.layoutBox);const u=!nN(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=en();ff(p,n.layoutBox,f.layoutBox);const m=en();ff(m,r,h.layoutBox),mw(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function Kie(e){Ha.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function Yie(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function Xie(e){e.clearSnapshot()}function qP(e){e.clearMeasurements()}function Qie(e){e.isLayoutDirty=!1}function Zie(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function WP(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function Jie(e){e.resolveTargetDelta()}function eoe(e){e.calcProjection()}function toe(e){e.resetRotation()}function noe(e){e.removeLeadSnapshot()}function KP(e,t,n){e.translate=Dt(t.translate,0,n),e.scale=Dt(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function YP(e,t,n,r){e.min=Dt(t.min,n.min,r),e.max=Dt(t.max,n.max,r)}function roe(e,t,n,r){YP(e.x,t.x,n.x,r),YP(e.y,t.y,n.y,r)}function ioe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const ooe={duration:.45,ease:[.4,0,.1,1]};function XP(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function soe(e){XP(e.x),XP(e.y)}function iN(e,t,n){return e==="position"||e==="preserve-aspect"&&!fw(zP(t),zP(n),.2)}const aoe=rN({attachResizeListener:(e,t)=>Qo(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),zS={current:void 0},oN=rN({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!zS.current){const e=new aoe({});e.mount(window),e.setOptions({layoutScroll:!0}),zS.current=e}return zS.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),loe={pan:{Feature:Cie},drag:{Feature:xie,ProjectionNode:oN,MeasureLayout:JM}},uoe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function coe(e){const t=uoe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function yw(e,t,n=1){const[r,i]=coe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():ow(i)?yw(i,t,n+1):i}function doe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!ow(o))return;const s=yw(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!ow(o))continue;const s=yw(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const foe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),sN=e=>foe.has(e),hoe=e=>Object.keys(e).some(sN),QP=e=>e===Il||e===we,ZP=(e,t)=>parseFloat(e.split(", ")[t]),JP=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZP(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZP(o[1],e):0}},poe=new Set(["x","y","z"]),goe=ip.filter(e=>!poe.has(e));function moe(e){const t=[];return goe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const wc={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JP(4,13),y:JP(5,14)};wc.translateX=wc.x;wc.translateY=wc.y;const yoe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=wc[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const c=t.getValue(u);c&&c.jump(a[u]),e[u]=wc[u](l,o)}),e},voe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(sN);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let c=n[l],d=vd(c);const f=t[l];let h;if(by(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=vd(c);for(let S=m;S<p&&f[S]!==null;S++)h?E5(vd(f[S])===h):h=vd(f[S])}else h=vd(f);if(d!==h)if(QP(d)&&QP(h)){const p=u.get();typeof p=="string"&&u.set(parseFloat(p)),typeof f=="string"?t[l]=parseFloat(f):Array.isArray(f)&&h===we&&(t[l]=f.map(parseFloat))}else d!=null&&d.transform&&(h!=null&&h.transform)&&(c===0||f===0)?c===0?u.set(h.transform(c)):t[l]=d.transform(f):(s||(o=moe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(f))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=yoe(t,e,a);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),kv&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function boe(e,t,n,r){return hoe(t)?voe(e,t,n,r):{target:t,transitionEnd:r}}const Soe=(e,t,n,r)=>{const i=doe(e,t,r);return t=i.target,r=i.transitionEnd,boe(e,t,n,r)},vw={current:null},aN={current:!1};function _oe(){if(aN.current=!0,!!kv)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>vw.current=e.matches;e.addListener(t),t()}else vw.current=!1}function woe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(Nr(o))e.addValue(i,o),xy(r)&&r.add(i);else if(Nr(s))e.addValue(i,_c(o,{owner:e})),xy(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,_c(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e6=new WeakMap,lN=Object.keys(th),xoe=lN.length,t6=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],Coe=m5.length;class Toe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>kt.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=Ov(n),this.isVariantNode=W7(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...c}=this.scrapeMotionValuesFromProps(n,{});for(const d in c){const f=c[d];a[d]!==void 0&&Nr(f)&&(f.set(a[d],!1),xy(u)&&u.add(d))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e6.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),aN.current||_oe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:vw.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e6.delete(this.current),this.projection&&this.projection.unmount(),cs(this.notifyUpdate),cs(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rl.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&kt.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<xoe;l++){const u=lN[l],{isEnabled:c,Feature:d,ProjectionNode:f,MeasureLayout:h}=th[u];f&&(s=f),c(n)&&(!this.features[u]&&d&&(this.features[u]=new d(this)),h&&(a=h))}if(!this.projection&&s){this.projection=new 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Array.isArray(e)?le.array:e===null?le.null:e.then&&typeof e.then=="function"&&e.catch&&typeof e.catch=="function"?le.promise:typeof Map<"u"&&e instanceof Map?le.map:typeof Set<"u"&&e instanceof Set?le.set:typeof Date<"u"&&e instanceof Date?le.date:le.object;default:return le.unknown}},re=Qe.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),due=e=>JSON.stringify(e,null,2).replace(/"([^"]+)":/g,"$1:");class $i extends Error{constructor(t){super(),this.issues=[],this.addIssue=r=>{this.issues=[...this.issues,r]},this.addIssues=(r=[])=>{this.issues=[...this.issues,...r]};const n=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,n):this.__proto__=n,this.name="ZodError",this.issues=t}get errors(){return this.issues}format(t){const n=t||function(o){return o.message},r={_errors:[]},i=o=>{for(const s of o.issues)if(s.code==="invalid_union")s.unionErrors.map(i);else if(s.code==="invalid_return_type")i(s.returnTypeError);else if(s.code==="invalid_arguments")i(s.argumentsError);else if(s.path.length===0)r._errors.push(n(s));else{let a=r,l=0;for(;l<s.path.length;){const u=s.path[l];l===s.path.length-1?(a[u]=a[u]||{_errors:[]},a[u]._errors.push(n(s))):a[u]=a[u]||{_errors:[]},a=a[u],l++}}};return i(this),r}toString(){return this.message}get message(){return JSON.stringify(this.issues,Qe.jsonStringifyReplacer,2)}get isEmpty(){return this.issues.length===0}flatten(t=n=>n.message){const n={},r=[];for(const i of this.issues)i.path.length>0?(n[i.path[0]]=n[i.path[0]]||[],n[i.path[0]].push(t(i))):r.push(t(i));return{formErrors:r,fieldErrors:n}}get formErrors(){return this.flatten()}}$i.create=e=>new $i(e);const oh=(e,t)=>{let n;switch(e.code){case re.invalid_type:e.received===le.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case re.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,Qe.jsonStringifyReplacer)}`;break;case re.unrecognized_keys:n=`Unrecognized key(s) in object: ${Qe.joinValues(e.keys,", ")}`;break;case re.invalid_union:n="Invalid input";break;case re.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${Qe.joinValues(e.options)}`;break;case re.invalid_enum_value:n=`Invalid enum value. Expected ${Qe.joinValues(e.options)}, received '${e.received}'`;break;case re.invalid_arguments:n="Invalid function arguments";break;case re.invalid_return_type:n="Invalid function return type";break;case re.invalid_date:n="Invalid date";break;case re.invalid_string:typeof e.validation=="object"?"includes"in e.validation?(n=`Invalid input: must include "${e.validation.includes}"`,typeof e.validation.position=="number"&&(n=`${n} at one or more positions greater than or equal to ${e.validation.position}`)):"startsWith"in e.validation?n=`Invalid input: must start with "${e.validation.startsWith}"`:"endsWith"in e.validation?n=`Invalid input: must end with "${e.validation.endsWith}"`:Qe.assertNever(e.validation):e.validation!=="regex"?n=`Invalid ${e.validation}`:n="Invalid";break;case re.too_small:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at least":"more than"} ${e.minimum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case re.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case re.custom:n="Invalid input";break;case re.invalid_intersection_types:n="Intersection results could not be merged";break;case re.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case re.not_finite:n="Number must be finite";break;default:n=t.defaultError,Qe.assertNever(e)}return{message:n}};let cD=oh;function fue(e){cD=e}function Ey(){return cD}const Py=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},hue=[];function ce(e,t){const n=Py({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Ey(),oh].filter(r=>!!r)});e.common.issues.push(n)}class er{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return Ce;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return er.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return Ce;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const Ce=Object.freeze({status:"aborted"}),dD=e=>({status:"dirty",value:e}),pr=e=>({status:"valid",value:e}),Ow=e=>e.status==="aborted",Rw=e=>e.status==="dirty",ky=e=>e.status==="valid",Ay=e=>typeof Promise<"u"&&e instanceof Promise;var be;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(be||(be={}));class xo{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const O6=(e,t)=>{if(ky(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new $i(e.common.issues);return this._error=n,this._error}}};function Oe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class Re{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return js(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:js(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new er,ctx:{common:t.parent.common,data:t.data,parsedType:js(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Ay(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:js(t)},o=this._parseSync({data:t,path:i.path,parent:i});return O6(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:js(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Ay(i)?i:Promise.resolve(i));return O6(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:re.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new Ui({schema:this,typeName:xe.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return ns.create(this,this._def)}nullable(){return vl.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Fi.create(this,this._def)}promise(){return kc.create(this,this._def)}or(t){return uh.create([this,t],this._def)}and(t){return ch.create(this,t,this._def)}transform(t){return new Ui({...Oe(this._def),schema:this,typeName:xe.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new gh({...Oe(this._def),innerType:this,defaultValue:n,typeName:xe.ZodDefault})}brand(){return new hD({typeName:xe.ZodBranded,type:this,...Oe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new My({...Oe(this._def),innerType:this,catchValue:n,typeName:xe.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return dp.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const pue=/^c[^\s-]{8,}$/i,gue=/^[a-z][a-z0-9]*$/,mue=/[0-9A-HJKMNP-TV-Z]{26}/,yue=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,vue=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,bue=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Sue=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,_ue=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,wue=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function xue(e,t){return!!((t==="v4"||!t)&&Sue.test(e)||(t==="v6"||!t)&&_ue.test(e))}class Ii extends Re{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:re.invalid_string,...be.errToObj(r)}),this.nonempty=t=>this.min(1,be.errToObj(t)),this.trim=()=>new Ii({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ii({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ii({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==le.string){const o=this._getOrReturnCtx(t);return ce(o,{code:re.invalid_type,expected:le.string,received:o.parsedType}),Ce}const r=new er;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),ce(i,{code:re.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),ce(i,{code:re.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?ce(i,{code:re.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&ce(i,{code:re.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")vue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"email",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")bue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"emoji",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")yue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"uuid",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")pue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"cuid",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")gue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"cuid2",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")mue.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"ulid",code:re.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),ce(i,{validation:"url",code:re.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"regex",code:re.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),ce(i,{code:re.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),ce(i,{code:re.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),ce(i,{code:re.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?wue(o).test(t.data)||(i=this._getOrReturnCtx(t,i),ce(i,{code:re.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?xue(t.data,o.version)||(i=this._getOrReturnCtx(t,i),ce(i,{validation:"ip",code:re.invalid_string,message:o.message}),r.dirty()):Qe.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ii({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...be.errToObj(t)})}url(t){return this._addCheck({kind:"url",...be.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...be.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...be.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...be.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...be.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...be.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...be.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...be.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...be.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...be.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...be.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...be.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...be.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...be.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...be.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ii.create=e=>{var t;return new Ii({checks:[],typeName:xe.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Oe(e)})};function Cue(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class pa extends Re{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==le.number){const o=this._getOrReturnCtx(t);return ce(o,{code:re.invalid_type,expected:le.number,received:o.parsedType}),Ce}let r;const i=new er;for(const o of this._def.checks)o.kind==="int"?Qe.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),ce(r,{code:re.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Cue(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),ce(r,{code:re.not_finite,message:o.message}),i.dirty()):Qe.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,be.toString(n))}gt(t,n){return this.setLimit("min",t,!1,be.toString(n))}lte(t,n){return this.setLimit("max",t,!0,be.toString(n))}lt(t,n){return this.setLimit("max",t,!1,be.toString(n))}setLimit(t,n,r,i){return new pa({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:be.toString(i)}]})}_addCheck(t){return new pa({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:be.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:be.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:be.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:be.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:be.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:be.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:be.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:be.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:be.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Qe.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}pa.create=e=>new pa({checks:[],typeName:xe.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Oe(e)});class ga extends Re{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==le.bigint){const o=this._getOrReturnCtx(t);return ce(o,{code:re.invalid_type,expected:le.bigint,received:o.parsedType}),Ce}let r;const i=new er;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),ce(r,{code:re.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Qe.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,be.toString(n))}gt(t,n){return this.setLimit("min",t,!1,be.toString(n))}lte(t,n){return this.setLimit("max",t,!0,be.toString(n))}lt(t,n){return this.setLimit("max",t,!1,be.toString(n))}setLimit(t,n,r,i){return new ga({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:be.toString(i)}]})}_addCheck(t){return new ga({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:be.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:be.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:be.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:be.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:be.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}ga.create=e=>{var t;return new ga({checks:[],typeName:xe.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Oe(e)})};class sh extends Re{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==le.boolean){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.boolean,received:r.parsedType}),Ce}return pr(t.data)}}sh.create=e=>new sh({typeName:xe.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Oe(e)});class ml extends Re{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==le.date){const o=this._getOrReturnCtx(t);return ce(o,{code:re.invalid_type,expected:le.date,received:o.parsedType}),Ce}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return ce(o,{code:re.invalid_date}),Ce}const r=new er;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),ce(i,{code:re.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),ce(i,{code:re.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Qe.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new ml({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:be.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:be.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}ml.create=e=>new ml({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:xe.ZodDate,...Oe(e)});class Oy extends Re{_parse(t){if(this._getType(t)!==le.symbol){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.symbol,received:r.parsedType}),Ce}return pr(t.data)}}Oy.create=e=>new Oy({typeName:xe.ZodSymbol,...Oe(e)});class ah extends Re{_parse(t){if(this._getType(t)!==le.undefined){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.undefined,received:r.parsedType}),Ce}return pr(t.data)}}ah.create=e=>new ah({typeName:xe.ZodUndefined,...Oe(e)});class lh extends Re{_parse(t){if(this._getType(t)!==le.null){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.null,received:r.parsedType}),Ce}return pr(t.data)}}lh.create=e=>new lh({typeName:xe.ZodNull,...Oe(e)});class Pc extends Re{constructor(){super(...arguments),this._any=!0}_parse(t){return pr(t.data)}}Pc.create=e=>new Pc({typeName:xe.ZodAny,...Oe(e)});class ol extends Re{constructor(){super(...arguments),this._unknown=!0}_parse(t){return pr(t.data)}}ol.create=e=>new ol({typeName:xe.ZodUnknown,...Oe(e)});class fs extends Re{_parse(t){const n=this._getOrReturnCtx(t);return ce(n,{code:re.invalid_type,expected:le.never,received:n.parsedType}),Ce}}fs.create=e=>new fs({typeName:xe.ZodNever,...Oe(e)});class Ry extends Re{_parse(t){if(this._getType(t)!==le.undefined){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.void,received:r.parsedType}),Ce}return pr(t.data)}}Ry.create=e=>new Ry({typeName:xe.ZodVoid,...Oe(e)});class Fi extends Re{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==le.array)return ce(n,{code:re.invalid_type,expected:le.array,received:n.parsedType}),Ce;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(ce(n,{code:s?re.too_big:re.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(ce(n,{code:re.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(ce(n,{code:re.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new xo(n,s,n.path,a)))).then(s=>er.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new xo(n,s,n.path,a)));return er.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Fi({...this._def,minLength:{value:t,message:be.toString(n)}})}max(t,n){return new Fi({...this._def,maxLength:{value:t,message:be.toString(n)}})}length(t,n){return new Fi({...this._def,exactLength:{value:t,message:be.toString(n)}})}nonempty(t){return this.min(1,t)}}Fi.create=(e,t)=>new Fi({type:e,minLength:null,maxLength:null,exactLength:null,typeName:xe.ZodArray,...Oe(t)});function fu(e){if(e instanceof It){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=ns.create(fu(r))}return new It({...e._def,shape:()=>t})}else return e instanceof Fi?new Fi({...e._def,type:fu(e.element)}):e instanceof ns?ns.create(fu(e.unwrap())):e instanceof vl?vl.create(fu(e.unwrap())):e instanceof Co?Co.create(e.items.map(t=>fu(t))):e}class It extends Re{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Qe.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==le.object){const u=this._getOrReturnCtx(t);return ce(u,{code:re.invalid_type,expected:le.object,received:u.parsedType}),Ce}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof fs&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new xo(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof fs){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(ce(i,{code:re.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new xo(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>er.mergeObjectSync(r,u)):er.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return be.errToObj,new It({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=be.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new It({...this._def,unknownKeys:"strip"})}passthrough(){return new It({...this._def,unknownKeys:"passthrough"})}extend(t){return new It({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new It({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:xe.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new It({...this._def,catchall:t})}pick(t){const n={};return Qe.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new It({...this._def,shape:()=>n})}omit(t){const n={};return Qe.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new It({...this._def,shape:()=>n})}deepPartial(){return fu(this)}partial(t){const n={};return Qe.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new It({...this._def,shape:()=>n})}required(t){const n={};return Qe.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof ns;)o=o._def.innerType;n[r]=o}}),new It({...this._def,shape:()=>n})}keyof(){return fD(Qe.objectKeys(this.shape))}}It.create=(e,t)=>new It({shape:()=>e,unknownKeys:"strip",catchall:fs.create(),typeName:xe.ZodObject,...Oe(t)});It.strictCreate=(e,t)=>new It({shape:()=>e,unknownKeys:"strict",catchall:fs.create(),typeName:xe.ZodObject,...Oe(t)});It.lazycreate=(e,t)=>new It({shape:e,unknownKeys:"strip",catchall:fs.create(),typeName:xe.ZodObject,...Oe(t)});class uh extends Re{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new $i(a.ctx.common.issues));return ce(n,{code:re.invalid_union,unionErrors:s}),Ce}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new $i(l));return ce(n,{code:re.invalid_union,unionErrors:a}),Ce}}get options(){return this._def.options}}uh.create=(e,t)=>new uh({options:e,typeName:xe.ZodUnion,...Oe(t)});const fm=e=>e instanceof fh?fm(e.schema):e instanceof Ui?fm(e.innerType()):e instanceof hh?[e.value]:e instanceof ma?e.options:e instanceof ph?Object.keys(e.enum):e instanceof gh?fm(e._def.innerType):e instanceof ah?[void 0]:e instanceof lh?[null]:null;class jv extends Re{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==le.object)return ce(n,{code:re.invalid_type,expected:le.object,received:n.parsedType}),Ce;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(ce(n,{code:re.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),Ce)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=fm(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new jv({typeName:xe.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Oe(r)})}}function Iw(e,t){const n=js(e),r=js(t);if(e===t)return{valid:!0,data:e};if(n===le.object&&r===le.object){const i=Qe.objectKeys(t),o=Qe.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=Iw(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===le.array&&r===le.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=Iw(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===le.date&&r===le.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class ch extends Re{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(Ow(o)||Ow(s))return Ce;const a=Iw(o.value,s.value);return a.valid?((Rw(o)||Rw(s))&&n.dirty(),{status:n.value,value:a.data}):(ce(r,{code:re.invalid_intersection_types}),Ce)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}ch.create=(e,t,n)=>new ch({left:e,right:t,typeName:xe.ZodIntersection,...Oe(n)});class Co extends Re{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==le.array)return ce(r,{code:re.invalid_type,expected:le.array,received:r.parsedType}),Ce;if(r.data.length<this._def.items.length)return ce(r,{code:re.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),Ce;!this._def.rest&&r.data.length>this._def.items.length&&(ce(r,{code:re.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new xo(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>er.mergeArray(n,s)):er.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Co({...this._def,rest:t})}}Co.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Co({items:e,typeName:xe.ZodTuple,rest:null,...Oe(t)})};class dh extends Re{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==le.object)return ce(r,{code:re.invalid_type,expected:le.object,received:r.parsedType}),Ce;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new xo(r,a,r.path,a)),value:s._parse(new xo(r,r.data[a],r.path,a))});return r.common.async?er.mergeObjectAsync(n,i):er.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Re?new dh({keyType:t,valueType:n,typeName:xe.ZodRecord,...Oe(r)}):new dh({keyType:Ii.create(),valueType:t,typeName:xe.ZodRecord,...Oe(n)})}}class Iy extends Re{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==le.map)return ce(r,{code:re.invalid_type,expected:le.map,received:r.parsedType}),Ce;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new xo(r,a,r.path,[u,"key"])),value:o._parse(new xo(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return Ce;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return Ce;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}Iy.create=(e,t,n)=>new Iy({valueType:t,keyType:e,typeName:xe.ZodMap,...Oe(n)});class yl extends Re{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==le.set)return ce(r,{code:re.invalid_type,expected:le.set,received:r.parsedType}),Ce;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(ce(r,{code:re.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(ce(r,{code:re.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return Ce;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new xo(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new yl({...this._def,minSize:{value:t,message:be.toString(n)}})}max(t,n){return new yl({...this._def,maxSize:{value:t,message:be.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}yl.create=(e,t)=>new yl({valueType:e,minSize:null,maxSize:null,typeName:xe.ZodSet,...Oe(t)});class Qu extends Re{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==le.function)return ce(n,{code:re.invalid_type,expected:le.function,received:n.parsedType}),Ce;function r(a,l){return Py({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Ey(),oh].filter(u=>!!u),issueData:{code:re.invalid_arguments,argumentsError:l}})}function i(a,l){return Py({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Ey(),oh].filter(u=>!!u),issueData:{code:re.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof kc?pr(async(...a)=>{const l=new $i([]),u=await this._def.args.parseAsync(a,o).catch(f=>{throw l.addIssue(r(a,f)),l}),c=await s(...u);return await this._def.returns._def.type.parseAsync(c,o).catch(f=>{throw l.addIssue(i(c,f)),l})}):pr((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new $i([r(a,l.error)]);const u=s(...l.data),c=this._def.returns.safeParse(u,o);if(!c.success)throw new $i([i(u,c.error)]);return c.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Qu({...this._def,args:Co.create(t).rest(ol.create())})}returns(t){return new Qu({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Qu({args:t||Co.create([]).rest(ol.create()),returns:n||ol.create(),typeName:xe.ZodFunction,...Oe(r)})}}class fh extends Re{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}fh.create=(e,t)=>new fh({getter:e,typeName:xe.ZodLazy,...Oe(t)});class hh extends Re{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return ce(n,{received:n.data,code:re.invalid_literal,expected:this._def.value}),Ce}return{status:"valid",value:t.data}}get value(){return this._def.value}}hh.create=(e,t)=>new hh({value:e,typeName:xe.ZodLiteral,...Oe(t)});function fD(e,t){return new ma({values:e,typeName:xe.ZodEnum,...Oe(t)})}class ma extends Re{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return ce(n,{expected:Qe.joinValues(r),received:n.parsedType,code:re.invalid_type}),Ce}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return ce(n,{received:n.data,code:re.invalid_enum_value,options:r}),Ce}return pr(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return ma.create(t)}exclude(t){return ma.create(this.options.filter(n=>!t.includes(n)))}}ma.create=fD;class ph extends Re{_parse(t){const n=Qe.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==le.string&&r.parsedType!==le.number){const i=Qe.objectValues(n);return ce(r,{expected:Qe.joinValues(i),received:r.parsedType,code:re.invalid_type}),Ce}if(n.indexOf(t.data)===-1){const i=Qe.objectValues(n);return ce(r,{received:r.data,code:re.invalid_enum_value,options:i}),Ce}return pr(t.data)}get enum(){return this._def.values}}ph.create=(e,t)=>new ph({values:e,typeName:xe.ZodNativeEnum,...Oe(t)});class kc extends Re{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==le.promise&&n.common.async===!1)return ce(n,{code:re.invalid_type,expected:le.promise,received:n.parsedType}),Ce;const r=n.parsedType===le.promise?n.data:Promise.resolve(n.data);return pr(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}kc.create=(e,t)=>new kc({type:e,typeName:xe.ZodPromise,...Oe(t)});class Ui extends Re{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===xe.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{ce(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?Ce:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?Ce:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!ky(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>ky(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Qe.assertNever(i)}}Ui.create=(e,t,n)=>new Ui({schema:e,typeName:xe.ZodEffects,effect:t,...Oe(n)});Ui.createWithPreprocess=(e,t,n)=>new Ui({schema:t,effect:{type:"preprocess",transform:e},typeName:xe.ZodEffects,...Oe(n)});class ns extends Re{_parse(t){return this._getType(t)===le.undefined?pr(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ns.create=(e,t)=>new ns({innerType:e,typeName:xe.ZodOptional,...Oe(t)});class vl extends Re{_parse(t){return this._getType(t)===le.null?pr(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}vl.create=(e,t)=>new vl({innerType:e,typeName:xe.ZodNullable,...Oe(t)});class gh extends Re{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===le.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}gh.create=(e,t)=>new gh({innerType:e,typeName:xe.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Oe(t)});class My extends Re{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Ay(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new $i(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new $i(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}My.create=(e,t)=>new My({innerType:e,typeName:xe.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Oe(t)});class Ny extends Re{_parse(t){if(this._getType(t)!==le.nan){const r=this._getOrReturnCtx(t);return ce(r,{code:re.invalid_type,expected:le.nan,received:r.parsedType}),Ce}return{status:"valid",value:t.data}}}Ny.create=e=>new Ny({typeName:xe.ZodNaN,...Oe(e)});const Tue=Symbol("zod_brand");class hD extends Re{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class dp extends Re{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?Ce:o.status==="dirty"?(n.dirty(),dD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?Ce:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new dp({in:t,out:n,typeName:xe.ZodPipeline})}}const pD=(e,t={},n)=>e?Pc.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Pc.create(),Eue={object:It.lazycreate};var xe;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(xe||(xe={}));const Pue=(e,t={message:`Input not instance of ${e.name}`})=>pD(n=>n instanceof e,t),gD=Ii.create,mD=pa.create,kue=Ny.create,Aue=ga.create,yD=sh.create,Oue=ml.create,Rue=Oy.create,Iue=ah.create,Mue=lh.create,Nue=Pc.create,Due=ol.create,Lue=fs.create,$ue=Ry.create,Fue=Fi.create,Bue=It.create,jue=It.strictCreate,Vue=uh.create,zue=jv.create,Uue=ch.create,Gue=Co.create,Hue=dh.create,que=Iy.create,Wue=yl.create,Kue=Qu.create,Yue=fh.create,Xue=hh.create,Que=ma.create,Zue=ph.create,Jue=kc.create,R6=Ui.create,ece=ns.create,tce=vl.create,nce=Ui.createWithPreprocess,rce=dp.create,ice=()=>gD().optional(),oce=()=>mD().optional(),sce=()=>yD().optional(),ace={string:e=>Ii.create({...e,coerce:!0}),number:e=>pa.create({...e,coerce:!0}),boolean:e=>sh.create({...e,coerce:!0}),bigint:e=>ga.create({...e,coerce:!0}),date:e=>ml.create({...e,coerce:!0})},lce=Ce;var Pn=Object.freeze({__proto__:null,defaultErrorMap:oh,setErrorMap:fue,getErrorMap:Ey,makeIssue:Py,EMPTY_PATH:hue,addIssueToContext:ce,ParseStatus:er,INVALID:Ce,DIRTY:dD,OK:pr,isAborted:Ow,isDirty:Rw,isValid:ky,isAsync:Ay,get 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Hi(Ca(i),Wh(i)),c=function(f,h){u(f)&&d(uL(f,"invalidatesTags",r,s),h),o.util.invalidateTags.match(f)&&d(lL(f.payload,void 0,void 0,void 0,void 0,s),h)};function d(f,h){var p=h.getState(),m=p[t],S=o.util.selectInvalidatedBy(p,f);n.batch(function(){for(var v,y=Array.from(S.values()),g=0,b=y;g<b.length;g++){var _=b[g].queryCacheKey,w=m.queries[_],x=(v=m.subscriptions[_])!=null?v:{};w&&(Object.keys(x).length===0?h.dispatch(l({queryCacheKey:_})):w.status!==Et.uninitialized&&h.dispatch(a(w,_)))}})}return c},khe=function(e){var 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g_=(e,t)=>n=>{n.target===t.current&&(e==null||e(n))},vve=e=>({userSelectionActive:e.userSelectionActive,elementsSelectable:e.elementsSelectable,dragging:e.paneDragging}),cF=E.memo(({isSelecting:e,selectionMode:t=Th.Full,panOnDrag:n,onSelectionStart:r,onSelectionEnd:i,onPaneClick:o,onPaneContextMenu:s,onPaneScroll:a,onPaneMouseEnter:l,onPaneMouseMove:u,onPaneMouseLeave:c,children:d})=>{const f=E.useRef(null),h=tr(),p=E.useRef(0),m=E.useRef(0),S=E.useRef(),{userSelectionActive:v,elementsSelectable:y,dragging:g}=Kt(vve,Dr),b=()=>{h.setState({userSelectionActive:!1,userSelectionRect:null}),p.current=0,m.current=0},_=N=>{o==null||o(N),h.getState().resetSelectedElements(),h.setState({nodesSelectionActive:!1})},w=N=>{if(Array.isArray(n)&&(n!=null&&n.includes(2))){N.preventDefault();return}s==null||s(N)},x=a?N=>a(N):void 0,C=N=>{const{resetSelectedElements:T,domNode:O}=h.getState();if(S.current=O==null?void 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wve=e=>e.nodesSelectionActive,dF=({children:e,onPaneClick:t,onPaneMouseEnter:n,onPaneMouseMove:r,onPaneMouseLeave:i,onPaneContextMenu:o,onPaneScroll:s,deleteKeyCode:a,onMove:l,onMoveStart:u,onMoveEnd:c,selectionKeyCode:d,selectionOnDrag:f,selectionMode:h,onSelectionStart:p,onSelectionEnd:m,multiSelectionKeyCode:S,panActivationKeyCode:v,zoomActivationKeyCode:y,elementsSelectable:g,zoomOnScroll:b,zoomOnPinch:_,panOnScroll:w,panOnScrollSpeed:x,panOnScrollMode:C,zoomOnDoubleClick:k,panOnDrag:P,defaultViewport:A,translateExtent:$,minZoom:N,maxZoom:T,preventScrolling:O,onSelectionContextMenu:I,noWheelClassName:M,noPanClassName:R,disableKeyboardA11y:D})=>{const L=Kt(wve),V=Eh(d),U=Eh(v)||P,K=V||f&&U!==!0;return 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n.count!="string",x=i0.hasDefaultValue(n),C=w?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",P=n[`defaultValue${C}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(b=!0,f=P),this.isValidLookup(f)||(_=!0,f=s);const $=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&_?void 0:f,N=x&&P!==f&&this.options.updateMissing;if(_||b||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?P:f),o){const M=this.resolve(s,{...n,keySeparator:!1});M&&M.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let T=[];const O=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&O&&O[0])for(let M=0;M<O.length;M++)T.push(O[M]);else this.options.saveMissingTo==="all"?T=this.languageUtils.toResolveHierarchy(n.lng||this.language):T.push(n.lng||this.language);const I=(M,R,D)=>{const L=x&&D!==f?D:$;this.options.missingKeyHandler?this.options.missingKeyHandler(M,l,R,L,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(M,l,R,L,N,n),this.emit("missingKey",M,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?T.forEach(M=>{this.pluralResolver.getSuffixes(M,n).forEach(R=>{I([M],s+R,n[`defaultValue${R}`]||P)})}):I(T,s,P))}f=this.extendTranslation(f,t,n,d,r),_&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(_||b)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,b?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=TF.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(S=>{this.isValidLookup(r)||(a=S,!ck[`${m[0]}-${S}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(ck[`${m[0]}-${S}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(v=>{if(this.isValidLookup(r))return;s=v;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,v,S,n);else{let b;f&&(b=this.pluralResolver.getSuffix(v,n.count,n));const _=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+b),n.ordinal&&b.indexOf(w)===0&&y.push(c+b.replace(w,this.options.pluralSeparator)),h&&y.push(c+_)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+b),n.ordinal&&b.indexOf(w)===0&&y.push(x+b.replace(w,this.options.pluralSeparator)),h&&y.push(x+_))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(v,S,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function m_(e){return e.charAt(0).toUpperCase()+e.slice(1)}class dk{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ho.create("languageUtils")}getScriptPartFromCode(t){if(t=r0(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=r0(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=m_(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=m_(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=m_(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let d1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],f1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const h1e=["v1","v2","v3"],p1e=["v4"],fk={zero:0,one:1,two:2,few:3,many:4,other:5};function g1e(){const e={};return d1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:f1e[t.fc]}})}),e}class m1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ho.create("pluralResolver"),(!this.options.compatibilityJSON||p1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=g1e()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(r0(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>fk[i]-fk[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!h1e.includes(this.options.compatibilityJSON)}}function hk(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=s1e(e,t,n);return!o&&i&&typeof n=="string"&&(o=n0(e,n,r),o===void 0&&(o=n0(t,n,r))),o}class y1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ho.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:l1e,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ou(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ou(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ou(n.nestingPrefix):n.nestingPrefixEscaped||ou("$t("),this.nestingSuffix=n.nestingSuffix?ou(n.nestingSuffix):n.nestingSuffixEscaped||ou(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=hk(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),S=m.shift().trim(),v=m.join(this.formatSeparator).trim();return this.format(hk(n,l,S,this.options.keySeparator,this.options.ignoreJSONStructure),v,r,{...i,...n,interpolationkey:S})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(a=0;o=p.regex.exec(t);){const m=o[1].trim();if(s=c(m),s===void 0)if(typeof d=="function"){const v=d(t,o,i);s=typeof v=="string"?v:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))s="";else if(f){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=ak(s));const S=p.safeValue(s);if(t=t.replace(o[0],S),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,s);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{s=JSON.parse(f),u&&(s={...u,...s})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=ak(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function v1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function su(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(r0(i),o),t[s]=a),a(r)}}class b1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ho.create("formatter"),this.options=t,this.formats={number:su((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:su((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return 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pk(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function gk(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Eg(){}function w1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class kh extends v1{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=gk(t),this.services={},this.logger=ho,this.modules={external:[]},w1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=pk();this.options={...i,...this.options,...gk(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?ho.init(o(this.modules.logger),this.options):ho.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=b1e);const d=new dk(this.options);this.store=new uk(this.options.resources,this.options);const f=this.services;f.logger=ho,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new m1e(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new y1e(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new _1e(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&TF.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Ad();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Ad();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Ad();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new dk(pk());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new kh(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Please use public Util.degToRad instead."),e.Util.degToRad(g)},_radToDeg(g){return e.Util.warn("Util._radToDeg is removed. Please use public Util.radToDeg instead."),e.Util.radToDeg(g)},_getRotation(g){return t.Konva.angleDeg?e.Util.radToDeg(g):g},_capitalize(g){return g.charAt(0).toUpperCase()+g.slice(1)},throw(g){throw new Error(h+g)},error(g){console.error(h+g)},warn(g){t.Konva.showWarnings&&console.warn(f+g)},each(g,b){for(var _ in g)b(_,g[_])},_inRange(g,b,_){return b<=g&&g<_},_getProjectionToSegment(g,b,_,w,x,C){var k,P,A,$=(g-_)*(g-_)+(b-w)*(b-w);if($==0)k=g,P=b,A=(x-_)*(x-_)+(C-w)*(C-w);else{var N=((x-g)*(_-g)+(C-b)*(w-b))/$;N<0?(k=g,P=b,A=(g-x)*(g-x)+(b-C)*(b-C)):N>1?(k=_,P=w,A=(_-x)*(_-x)+(w-C)*(w-C)):(k=g+N*(_-g),P=b+N*(w-b),A=(k-x)*(k-x)+(P-C)*(P-C))}return[k,P,A]},_getProjectionToLine(g,b,_){var w=e.Util.cloneObject(g),x=Number.MAX_VALUE;return b.forEach(function(C,k){if(!(!_&&k===b.length-1)){var P=b[(k+1)%b.length],A=e.Util._getProjectionToSegment(C.x,C.y,P.x,P.y,g.x,g.y),$=A[0],N=A[1],T=A[2];T<x&&(w.x=$,w.y=N,x=T)}}),w},_prepareArrayForTween(g,b,_){var w,x=[],C=[];if(g.length>b.length){var k=b;b=g,g=k}for(w=0;w<g.length;w+=2)x.push({x:g[w],y:g[w+1]});for(w=0;w<b.length;w+=2)C.push({x:b[w],y:b[w+1]});var P=[];return C.forEach(function(A){var $=e.Util._getProjectionToLine(A,x,_);P.push($.x),P.push($.y)}),P},_prepareToStringify(g){var b;g.visitedByCircularReferenceRemoval=!0;for(var _ in g)if(g.hasOwnProperty(_)&&g[_]&&typeof g[_]=="object"){if(b=Object.getOwnPropertyDescriptor(g,_),g[_].visitedByCircularReferenceRemoval||e.Util._isElement(g[_]))if(b.configurable)delete g[_];else return null;else if(e.Util._prepareToStringify(g[_])===null)if(b.configurable)delete g[_];else return null}return delete g.visitedByCircularReferenceRemoval,g},_assign(g,b){for(var _ in b)g[_]=b[_];return g},_getFirstPointerId(g){return g.touches?g.changedTouches[0].identifier:g.pointerId||999},releaseCanvas(...g){t.Konva.releaseCanvasOnDestroy&&g.forEach(b=>{b.width=0,b.height=0})},drawRoundedRectPath(g,b,_,w){let x=0,C=0,k=0,P=0;typeof w=="number"?x=C=k=P=Math.min(w,b/2,_/2):(x=Math.min(w[0]||0,b/2,_/2),C=Math.min(w[1]||0,b/2,_/2),P=Math.min(w[2]||0,b/2,_/2),k=Math.min(w[3]||0,b/2,_/2)),g.moveTo(x,0),g.lineTo(b-C,0),g.arc(b-C,C,C,Math.PI*3/2,0,!1),g.lineTo(b,_-P),g.arc(b-P,_-P,P,0,Math.PI/2,!1),g.lineTo(k,_),g.arc(k,_-k,k,Math.PI/2,Math.PI,!1),g.lineTo(0,x),g.arc(x,x,x,Math.PI,Math.PI*3/2,!1)}}})(Bt);var At={},Ie={},fe={};Object.defineProperty(fe,"__esModule",{value:!0});fe.getComponentValidator=fe.getBooleanValidator=fe.getNumberArrayValidator=fe.getFunctionValidator=fe.getStringOrGradientValidator=fe.getStringValidator=fe.getNumberOrAutoValidator=fe.getNumberOrArrayOfNumbersValidator=fe.getNumberValidator=fe.alphaComponent=fe.RGBComponent=void 0;const ys=Le,Ut=Bt;function vs(e){return Ut.Util._isString(e)?'"'+e+'"':Object.prototype.toString.call(e)==="[object Number]"||Ut.Util._isBoolean(e)?e:Object.prototype.toString.call(e)}function OSe(e){return e>255?255:e<0?0:Math.round(e)}fe.RGBComponent=OSe;function RSe(e){return e>1?1:e<1e-4?1e-4:e}fe.alphaComponent=RSe;function ISe(){if(ys.Konva.isUnminified)return function(e,t){return Ut.Util._isNumber(e)||Ut.Util.warn(vs(e)+' is a not valid value for "'+t+'" attribute. 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}rs.SceneContext=ZSe;class JSe extends _1{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}rs.HitContext=JSe;Object.defineProperty(Bi,"__esModule",{value:!0});Bi.HitCanvas=Bi.SceneCanvas=Bi.Canvas=void 0;const s0=Bt,HF=rs,qF=Le,e_e=Ie,t_e=fe;var Pg;function n_e(){if(Pg)return Pg;var e=s0.Util.createCanvasElement(),t=e.getContext("2d");return Pg=function(){var n=qF.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),s0.Util.releaseCanvas(e),Pg}class w1{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||qF.Konva.pixelRatio||n_e();this.pixelRatio=r,this._canvas=s0.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return s0.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Bi.Canvas=w1;e_e.Factory.addGetterSetter(w1,"pixelRatio",void 0,(0,t_e.getNumberValidator)());class r_e extends w1{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new HF.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Bi.SceneCanvas=r_e;class i_e extends w1{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new HF.HitContext(this),this.setSize(t.width,t.height)}}Bi.HitCanvas=i_e;var x1={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Le,n=Bt;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(x1);Object.defineProperty(At,"__esModule",{value:!0});At.Node=void 0;const je=Bt,wp=Ie,kg=Bi,Ba=Le,ti=x1,Yt=fe;var _m="absoluteOpacity",Ag="allEventListeners",Uo="absoluteTransform",Mk="absoluteScale",ja="canvas",o_e="Change",s_e="children",a_e="konva",lx="listening",Nk="mouseenter",Dk="mouseleave",Lk="set",$k="Shape",wm=" ",Fk="stage",Os="transform",l_e="Stage",ux="visible",u_e=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(wm);let c_e=1,Pe=class cx{constructor(t){this._id=c_e++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Os||t===Uo)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Os||t===Uo,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(wm);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(ja)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Uo&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(ja)){const{scene:t,filter:n,hit:r}=this._cache.get(ja);je.Util.releaseCanvas(t,n,r),this._cache.delete(ja)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){je.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new kg.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new kg.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new kg.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),S=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(ja),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),S.save(),m.translate(-a,-l),S.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_m),this._clearSelfAndDescendantCache(Mk),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),S.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(ja,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(ja)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){je.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){je.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Ag),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(wm),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(wm),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Ag),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=je.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),ti.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Uo),this._clearSelfAndDescendantCache(_m),this._clearSelfAndDescendantCache(Mk),this._clearSelfAndDescendantCache(Fk),this._clearSelfAndDescendantCache(ux),this._clearSelfAndDescendantCache(lx)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+je.Util._capitalize(t);return je.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==s_e&&(r=Lk+je.Util._capitalize(n),je.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(lx,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(ux,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;ti.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Ba.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==$k&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==l_e&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Os),this._clearSelfAndDescendantCache(Uo)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new je.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Os);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Os),this._clearSelfAndDescendantCache(Uo),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return je.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return je.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return je.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return je.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return je.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&je.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_m,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=je.Util.isObject(i)&&!je.Util._isPlainObject(i)&&!je.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),je.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],je.Util.isValidSelector(o)||(je.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),je.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),je.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(Fk,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Uo,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new je.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Uo)||new je.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Os,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Os)||new je.Transform;r.reset();var i=this.x(),o=this.y(),s=Ba.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=je.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(a_e)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new kg.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,je.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Ba.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+o_e,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[Lk+je.Util._capitalize(t)];return je.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Ba.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!je.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===$k&&(n.target=this);var i=(t===Nk||t===Dk)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===Nk||t===Dk)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Ag))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Ag,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;ti.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){ti.DD._dragElements.has(this._id)||this._createDragElement(t);const r=ti.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:je.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=ti.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),ti.DD._endDragBefore(t),ti.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=ti.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Ba.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;ti.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=ti.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&ti.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return je.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return je.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=cx.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Ba.Konva[r]||(je.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Ba.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(cx._createNode(i[a]));return o}};At.Node=Pe;Pe.prototype.nodeType="Node";Pe.prototype._attrsAffectingSize=[];Pe.prototype.eventListeners={};Pe.prototype.on.call(Pe.prototype,u_e,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Os),this._clearSelfAndDescendantCache(Uo)});Pe.prototype.on.call(Pe.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(ux)});Pe.prototype.on.call(Pe.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(lx)});Pe.prototype.on.call(Pe.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_m)});const ht=wp.Factory.addGetterSetter;ht(Pe,"zIndex");ht(Pe,"absolutePosition");ht(Pe,"position");ht(Pe,"x",0,(0,Yt.getNumberValidator)());ht(Pe,"y",0,(0,Yt.getNumberValidator)());ht(Pe,"globalCompositeOperation","source-over",(0,Yt.getStringValidator)());ht(Pe,"opacity",1,(0,Yt.getNumberValidator)());ht(Pe,"name","",(0,Yt.getStringValidator)());ht(Pe,"id","",(0,Yt.getStringValidator)());ht(Pe,"rotation",0,(0,Yt.getNumberValidator)());wp.Factory.addComponentsGetterSetter(Pe,"scale",["x","y"]);ht(Pe,"scaleX",1,(0,Yt.getNumberValidator)());ht(Pe,"scaleY",1,(0,Yt.getNumberValidator)());wp.Factory.addComponentsGetterSetter(Pe,"skew",["x","y"]);ht(Pe,"skewX",0,(0,Yt.getNumberValidator)());ht(Pe,"skewY",0,(0,Yt.getNumberValidator)());wp.Factory.addComponentsGetterSetter(Pe,"offset",["x","y"]);ht(Pe,"offsetX",0,(0,Yt.getNumberValidator)());ht(Pe,"offsetY",0,(0,Yt.getNumberValidator)());ht(Pe,"dragDistance",null,(0,Yt.getNumberValidator)());ht(Pe,"width",0,(0,Yt.getNumberValidator)());ht(Pe,"height",0,(0,Yt.getNumberValidator)());ht(Pe,"listening",!0,(0,Yt.getBooleanValidator)());ht(Pe,"preventDefault",!0,(0,Yt.getBooleanValidator)());ht(Pe,"filters",null,function(e){return this._filterUpToDate=!1,e});ht(Pe,"visible",!0,(0,Yt.getBooleanValidator)());ht(Pe,"transformsEnabled","all",(0,Yt.getStringValidator)());ht(Pe,"size");ht(Pe,"dragBoundFunc");ht(Pe,"draggable",!1,(0,Yt.getBooleanValidator)());wp.Factory.backCompat(Pe,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var $l={};Object.defineProperty($l,"__esModule",{value:!0});$l.Container=void 0;const Yc=Ie,b_=At,C1=fe;class Fl extends b_.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=b_.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=b_.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let S;if(l)S=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,S),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(S){S[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var S=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});S.width===0&&S.height===0||(o===void 0?(o=S.x,s=S.y,a=S.x+S.width,l=S.y+S.height):(o=Math.min(o,S.x),s=Math.min(s,S.y),a=Math.max(a,S.x+S.width),l=Math.max(l,S.y+S.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}$l.Container=Fl;Yc.Factory.addComponentsGetterSetter(Fl,"clip",["x","y","width","height"]);Yc.Factory.addGetterSetter(Fl,"clipX",void 0,(0,C1.getNumberValidator)());Yc.Factory.addGetterSetter(Fl,"clipY",void 0,(0,C1.getNumberValidator)());Yc.Factory.addGetterSetter(Fl,"clipWidth",void 0,(0,C1.getNumberValidator)());Yc.Factory.addGetterSetter(Fl,"clipHeight",void 0,(0,C1.getNumberValidator)());Yc.Factory.addGetterSetter(Fl,"clipFunc");var WF={},Br={};Object.defineProperty(Br,"__esModule",{value:!0});Br.releaseCapture=Br.setPointerCapture=Br.hasPointerCapture=Br.createEvent=Br.getCapturedShape=void 0;const d_e=Le,Ah=new Map,KF=d_e.Konva._global.PointerEvent!==void 0;function f_e(e){return Ah.get(e)}Br.getCapturedShape=f_e;function M3(e){return{evt:e,pointerId:e.pointerId}}Br.createEvent=M3;function h_e(e,t){return Ah.get(e)===t}Br.hasPointerCapture=h_e;function p_e(e,t){YF(e),t.getStage()&&(Ah.set(e,t),KF&&t._fire("gotpointercapture",M3(new PointerEvent("gotpointercapture"))))}Br.setPointerCapture=p_e;function YF(e,t){const n=Ah.get(e);if(!n)return;const r=n.getStage();r&&r.content,Ah.delete(e),KF&&n._fire("lostpointercapture",M3(new PointerEvent("lostpointercapture")))}Br.releaseCapture=YF;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Bt,n=Ie,r=$l,i=Le,o=Bi,s=x1,a=Le,l=Br;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",S="mousemove",v="mousedown",y="mouseup",g="pointermove",b="pointerdown",_="pointerup",w="pointercancel",x="lostpointercapture",C="pointerout",k="pointerleave",P="pointerover",A="pointerenter",$="contextmenu",N="touchstart",T="touchend",O="touchmove",I="touchcancel",M="wheel",R=5,D=[[m,"_pointerenter"],[v,"_pointerdown"],[S,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[N,"_pointerdown"],[O,"_pointermove"],[T,"_pointerup"],[I,"_pointercancel"],[p,"_pointerover"],[M,"_wheel"],[$,"_contextmenu"],[b,"_pointerdown"],[g,"_pointermove"],[_,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const L={mouse:{[C]:f,[k]:h,[P]:p,[A]:m,[g]:S,[b]:v,[_]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[C]:"touchout",[k]:"touchleave",[P]:"touchover",[A]:"touchenter",[g]:O,[b]:N,[_]:T,[w]:I,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[C]:C,[k]:k,[P]:P,[A]:A,[g]:g,[b]:b,[_]:_,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},V=X=>X.indexOf("pointer")>=0?"pointer":X.indexOf("touch")>=0?"touch":"mouse",z=X=>{const F=V(X);if(F==="pointer")return i.Konva.pointerEventsEnabled&&L.pointer;if(F==="touch")return L.touch;if(F==="mouse")return L.mouse};function U(X={}){return(X.clipFunc||X.clipWidth||X.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),X}const K="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class W extends r.Container{constructor(F){super(U(F)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{U(this.attrs)}),this._checkVisibility()}_validateAdd(F){const q=F.getType()==="Layer",Q=F.getType()==="FastLayer";q||Q||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const F=this.visible()?"":"none";this.content.style.display=F}setContainer(F){if(typeof F===c){if(F.charAt(0)==="."){var q=F.slice(1);F=document.getElementsByClassName(q)[0]}else{var Q;F.charAt(0)!=="#"?Q=F:Q=F.slice(1),F=document.getElementById(Q)}if(!F)throw"Can not find container in document with id "+Q}return this._setAttr("container",F),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),F.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var F=this.children,q=F.length,Q;for(Q=0;Q<q;Q++)F[Q].clear();return this}clone(F){return F||(F={}),F.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,F)}destroy(){super.destroy();var F=this.content;F&&t.Util._isInDocument(F)&&this.container().removeChild(F);var q=e.stages.indexOf(this);return q>-1&&e.stages.splice(q,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const F=this._pointerPositions[0]||this._changedPointerPositions[0];return F?{x:F.x,y:F.y}:(t.Util.warn(K),null)}_getPointerById(F){return this._pointerPositions.find(q=>q.id===F)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(F){F=F||{},F.x=F.x||0,F.y=F.y||0,F.width=F.width||this.width(),F.height=F.height||this.height();var q=new o.SceneCanvas({width:F.width,height:F.height,pixelRatio:F.pixelRatio||1}),Q=q.getContext()._context,J=this.children;return(F.x||F.y)&&Q.translate(-1*F.x,-1*F.y),J.forEach(function(ne){if(ne.isVisible()){var Z=ne._toKonvaCanvas(F);Q.drawImage(Z._canvas,F.x,F.y,Z.getWidth()/Z.getPixelRatio(),Z.getHeight()/Z.getPixelRatio())}}),q}getIntersection(F){if(!F)return null;var q=this.children,Q=q.length,J=Q-1,ne;for(ne=J;ne>=0;ne--){const Z=q[ne].getIntersection(F);if(Z)return Z}return null}_resizeDOM(){var F=this.width(),q=this.height();this.content&&(this.content.style.width=F+d,this.content.style.height=q+d),this.bufferCanvas.setSize(F,q),this.bufferHitCanvas.setSize(F,q),this.children.forEach(Q=>{Q.setSize({width:F,height:q}),Q.draw()})}add(F,...q){if(arguments.length>1){for(var Q=0;Q<arguments.length;Q++)this.add(arguments[Q]);return this}super.add(F);var J=this.children.length;return J>R&&t.Util.warn("The stage has "+J+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),F.setSize({width:this.width(),height:this.height()}),F.draw(),i.Konva.isBrowser&&this.content.appendChild(F.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(F){return l.hasPointerCapture(F,this)}setPointerCapture(F){l.setPointerCapture(F,this)}releaseCapture(F){l.releaseCapture(F,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&D.forEach(([F,q])=>{this.content.addEventListener(F,Q=>{this[q](Q)},{passive:!1})})}_pointerenter(F){this.setPointersPositions(F);const q=z(F.type);this._fire(q.pointerenter,{evt:F,target:this,currentTarget:this})}_pointerover(F){this.setPointersPositions(F);const q=z(F.type);this._fire(q.pointerover,{evt:F,target:this,currentTarget:this})}_getTargetShape(F){let q=this[F+"targetShape"];return q&&!q.getStage()&&(q=null),q}_pointerleave(F){const q=z(F.type),Q=V(F.type);if(q){this.setPointersPositions(F);var J=this._getTargetShape(Q),ne=!s.DD.isDragging||i.Konva.hitOnDragEnabled;J&&ne?(J._fireAndBubble(q.pointerout,{evt:F}),J._fireAndBubble(q.pointerleave,{evt:F}),this._fire(q.pointerleave,{evt:F,target:this,currentTarget:this}),this[Q+"targetShape"]=null):ne&&(this._fire(q.pointerleave,{evt:F,target:this,currentTarget:this}),this._fire(q.pointerout,{evt:F,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(F){const q=z(F.type),Q=V(F.type);if(q){this.setPointersPositions(F);var J=!1;this._changedPointerPositions.forEach(ne=>{var Z=this.getIntersection(ne);if(s.DD.justDragged=!1,i.Konva["_"+Q+"ListenClick"]=!0,!(Z&&Z.isListening()))return;i.Konva.capturePointerEventsEnabled&&Z.setPointerCapture(ne.id),this[Q+"ClickStartShape"]=Z,Z._fireAndBubble(q.pointerdown,{evt:F,pointerId:ne.id}),J=!0;const ae=F.type.indexOf("touch")>=0;Z.preventDefault()&&F.cancelable&&ae&&F.preventDefault()}),J||this._fire(q.pointerdown,{evt:F,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(F){const q=z(F.type),Q=V(F.type);if(!q)return;s.DD.isDragging&&s.DD.node.preventDefault()&&F.cancelable&&F.preventDefault(),this.setPointersPositions(F);var J=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!J)return;var ne={};let Z=!1;var ge=this._getTargetShape(Q);this._changedPointerPositions.forEach(ae=>{const oe=l.getCapturedShape(ae.id)||this.getIntersection(ae),Te=ae.id,se={evt:F,pointerId:Te};var We=ge!==oe;if(We&&ge&&(ge._fireAndBubble(q.pointerout,Object.assign({},se),oe),ge._fireAndBubble(q.pointerleave,Object.assign({},se),oe)),oe){if(ne[oe._id])return;ne[oe._id]=!0}oe&&oe.isListening()?(Z=!0,We&&(oe._fireAndBubble(q.pointerover,Object.assign({},se),ge),oe._fireAndBubble(q.pointerenter,Object.assign({},se),ge),this[Q+"targetShape"]=oe),oe._fireAndBubble(q.pointermove,Object.assign({},se))):ge&&(this._fire(q.pointerover,{evt:F,target:this,currentTarget:this,pointerId:Te}),this[Q+"targetShape"]=null)}),Z||this._fire(q.pointermove,{evt:F,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(F){const q=z(F.type),Q=V(F.type);if(!q)return;this.setPointersPositions(F);const J=this[Q+"ClickStartShape"],ne=this[Q+"ClickEndShape"];var Z={};let ge=!1;this._changedPointerPositions.forEach(ae=>{const oe=l.getCapturedShape(ae.id)||this.getIntersection(ae);if(oe){if(oe.releaseCapture(ae.id),Z[oe._id])return;Z[oe._id]=!0}const Te=ae.id,se={evt:F,pointerId:Te};let We=!1;i.Konva["_"+Q+"InDblClickWindow"]?(We=!0,clearTimeout(this[Q+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+Q+"InDblClickWindow"]=!0,clearTimeout(this[Q+"DblTimeout"])),this[Q+"DblTimeout"]=setTimeout(function(){i.Konva["_"+Q+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),oe&&oe.isListening()?(ge=!0,this[Q+"ClickEndShape"]=oe,oe._fireAndBubble(q.pointerup,Object.assign({},se)),i.Konva["_"+Q+"ListenClick"]&&J&&J===oe&&(oe._fireAndBubble(q.pointerclick,Object.assign({},se)),We&&ne&&ne===oe&&oe._fireAndBubble(q.pointerdblclick,Object.assign({},se)))):(this[Q+"ClickEndShape"]=null,i.Konva["_"+Q+"ListenClick"]&&this._fire(q.pointerclick,{evt:F,target:this,currentTarget:this,pointerId:Te}),We&&this._fire(q.pointerdblclick,{evt:F,target:this,currentTarget:this,pointerId:Te}))}),ge||this._fire(q.pointerup,{evt:F,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+Q+"ListenClick"]=!1,F.cancelable&&Q!=="touch"&&F.preventDefault()}_contextmenu(F){this.setPointersPositions(F);var q=this.getIntersection(this.getPointerPosition());q&&q.isListening()?q._fireAndBubble($,{evt:F}):this._fire($,{evt:F,target:this,currentTarget:this})}_wheel(F){this.setPointersPositions(F);var q=this.getIntersection(this.getPointerPosition());q&&q.isListening()?q._fireAndBubble(M,{evt:F}):this._fire(M,{evt:F,target:this,currentTarget:this})}_pointercancel(F){this.setPointersPositions(F);const q=l.getCapturedShape(F.pointerId)||this.getIntersection(this.getPointerPosition());q&&q._fireAndBubble(_,l.createEvent(F)),l.releaseCapture(F.pointerId)}_lostpointercapture(F){l.releaseCapture(F.pointerId)}setPointersPositions(F){var q=this._getContentPosition(),Q=null,J=null;F=F||window.event,F.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(F.touches,ne=>{this._pointerPositions.push({id:ne.identifier,x:(ne.clientX-q.left)/q.scaleX,y:(ne.clientY-q.top)/q.scaleY})}),Array.prototype.forEach.call(F.changedTouches||F.touches,ne=>{this._changedPointerPositions.push({id:ne.identifier,x:(ne.clientX-q.left)/q.scaleX,y:(ne.clientY-q.top)/q.scaleY})})):(Q=(F.clientX-q.left)/q.scaleX,J=(F.clientY-q.top)/q.scaleY,this.pointerPos={x:Q,y:J},this._pointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(F)}],this._changedPointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(F)}])}_setPointerPosition(F){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(F)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var F=this.content.getBoundingClientRect();return{top:F.top,left:F.left,scaleX:F.width/this.content.clientWidth||1,scaleY:F.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var F=this.container();if(!F)throw"Stage has no container. A container is required.";F.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),F.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(F){F.batchDraw()}),this}}e.Stage=W,W.prototype.nodeType=u,(0,a._registerNode)(W),n.Factory.addGetterSetter(W,"container")})(WF);var xp={},pn={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Le,n=Bt,r=Ie,i=At,o=fe,s=Le,a=Br;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(k){const P=this.attrs.fillRule;P?k.fill(P):k.fill()}function S(k){k.stroke()}function v(k){k.fill()}function y(k){k.stroke()}function g(){this._clearCache(l)}function b(){this._clearCache(u)}function _(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(P){super(P);let A;for(;A=n.Util.getRandomColor(),!(A&&!(A in e.shapes)););this.colorKey=A,e.shapes[A]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var P=p();const A=P.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(A&&A.setTransform){const $=new n.Transform;$.translate(this.fillPatternX(),this.fillPatternY()),$.rotate(t.Konva.getAngle(this.fillPatternRotation())),$.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),$.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=$.getMatrix(),T=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);A.setTransform(T)}return A}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var P=this.fillLinearGradientColorStops();if(P){for(var A=p(),$=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),T=A.createLinearGradient($.x,$.y,N.x,N.y),O=0;O<P.length;O+=2)T.addColorStop(P[O],P[O+1]);return T}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var P=this.fillRadialGradientColorStops();if(P){for(var A=p(),$=this.fillRadialGradientStartPoint(),N=this.fillRadialGradientEndPoint(),T=A.createRadialGradient($.x,$.y,this.fillRadialGradientStartRadius(),N.x,N.y,this.fillRadialGradientEndRadius()),O=0;O<P.length;O+=2)T.addColorStop(P[O],P[O+1]);return T}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var P=n.Util.colorToRGBA(this.shadowColor());if(P)return"rgba("+P.r+","+P.g+","+P.b+","+P.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const P=this.hitStrokeWidth();return P==="auto"?this.hasStroke():this.strokeEnabled()&&!!P}intersects(P){var A=this.getStage(),$=A.bufferHitCanvas,N;return $.getContext().clear(),this.drawHit($,null,!0),N=$.context.getImageData(Math.round(P.x),Math.round(P.y),1,1).data,N[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(P){var A;if(!this.getStage()||!((A=this.attrs.perfectDrawEnabled)!==null&&A!==void 0?A:!0))return!1;const N=P||this.hasFill(),T=this.hasStroke(),O=this.getAbsoluteOpacity()!==1;if(N&&T&&O)return!0;const I=this.hasShadow(),M=this.shadowForStrokeEnabled();return!!(N&&T&&I&&M)}setStrokeHitEnabled(P){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),P?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var P=this.size();return{x:this._centroid?-P.width/2:0,y:this._centroid?-P.height/2:0,width:P.width,height:P.height}}getClientRect(P={}){const A=P.skipTransform,$=P.relativeTo,N=this.getSelfRect(),O=!P.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,I=N.width+O,M=N.height+O,R=!P.skipShadow&&this.hasShadow(),D=R?this.shadowOffsetX():0,L=R?this.shadowOffsetY():0,V=I+Math.abs(D),z=M+Math.abs(L),U=R&&this.shadowBlur()||0,K=V+U*2,W=z+U*2,X={width:K,height:W,x:-(O/2+U)+Math.min(D,0)+N.x,y:-(O/2+U)+Math.min(L,0)+N.y};return A?X:this._transformedRect(X,$)}drawScene(P,A){var $=this.getLayer(),N=P||$.getCanvas(),T=N.getContext(),O=this._getCanvasCache(),I=this.getSceneFunc(),M=this.hasShadow(),R,D,L,V=N.isCache,z=A===this;if(!this.isVisible()&&!z)return this;if(O){T.save();var U=this.getAbsoluteTransform(A).getMatrix();return T.transform(U[0],U[1],U[2],U[3],U[4],U[5]),this._drawCachedSceneCanvas(T),T.restore(),this}if(!I)return this;if(T.save(),this._useBufferCanvas()&&!V){R=this.getStage(),D=R.bufferCanvas,L=D.getContext(),L.clear(),L.save(),L._applyLineJoin(this);var K=this.getAbsoluteTransform(A).getMatrix();L.transform(K[0],K[1],K[2],K[3],K[4],K[5]),I.call(this,L,this),L.restore();var W=D.pixelRatio;M&&T._applyShadow(this),T._applyOpacity(this),T._applyGlobalCompositeOperation(this),T.drawImage(D._canvas,0,0,D.width/W,D.height/W)}else{if(T._applyLineJoin(this),!z){var K=this.getAbsoluteTransform(A).getMatrix();T.transform(K[0],K[1],K[2],K[3],K[4],K[5]),T._applyOpacity(this),T._applyGlobalCompositeOperation(this)}M&&T._applyShadow(this),I.call(this,T,this)}return T.restore(),this}drawHit(P,A,$=!1){if(!this.shouldDrawHit(A,$))return this;var N=this.getLayer(),T=P||N.hitCanvas,O=T&&T.getContext(),I=this.hitFunc()||this.sceneFunc(),M=this._getCanvasCache(),R=M&&M.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),R){O.save();var D=this.getAbsoluteTransform(A).getMatrix();return O.transform(D[0],D[1],D[2],D[3],D[4],D[5]),this._drawCachedHitCanvas(O),O.restore(),this}if(!I)return this;if(O.save(),O._applyLineJoin(this),!(this===A)){var V=this.getAbsoluteTransform(A).getMatrix();O.transform(V[0],V[1],V[2],V[3],V[4],V[5])}return I.call(this,O,this),O.restore(),this}drawHitFromCache(P=0){var A=this._getCanvasCache(),$=this._getCachedSceneCanvas(),N=A.hit,T=N.getContext(),O=N.getWidth(),I=N.getHeight(),M,R,D,L,V,z;T.clear(),T.drawImage($._canvas,0,0,O,I);try{for(M=T.getImageData(0,0,O,I),R=M.data,D=R.length,L=n.Util._hexToRgb(this.colorKey),V=0;V<D;V+=4)z=R[V+3],z>P?(R[V]=L.r,R[V+1]=L.g,R[V+2]=L.b,R[V+3]=255):R[V+3]=0;T.putImageData(M,0,0)}catch(U){n.Util.error("Unable to draw hit graph from cached scene canvas. "+U.message)}return this}hasPointerCapture(P){return a.hasPointerCapture(P,this)}setPointerCapture(P){a.setPointerCapture(P,this)}releaseCapture(P){a.releaseCapture(P,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=S,C.prototype._fillFuncHit=v,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,s._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",b),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",_),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(pn);Object.defineProperty(xp,"__esModule",{value:!0});xp.Layer=void 0;const jo=Bt,S_=$l,au=At,N3=Ie,Bk=Bi,g_e=fe,m_e=pn,y_e=Le;var v_e="#",b_e="beforeDraw",S_e="draw",XF=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],__e=XF.length;class Xc extends S_.Container{constructor(t){super(t),this.canvas=new Bk.SceneCanvas,this.hitCanvas=new Bk.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){au.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=au.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(au.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(au.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return au.Node.prototype.remove.call(this),t&&t.parentNode&&jo.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&jo.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),au.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){jo.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){jo.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,jo.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<__e;i++){const o=XF[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=jo.Util._rgbToHex(r[0],r[1],r[2]),s=m_e.shapes[v_e+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(b_e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),S_.Container.prototype.drawScene.call(this,i,n),this._fire(S_e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),S_.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){jo.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return jo.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return jo.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}xp.Layer=Xc;Xc.prototype.nodeType="Layer";(0,y_e._registerNode)(Xc);N3.Factory.addGetterSetter(Xc,"imageSmoothingEnabled",!0);N3.Factory.addGetterSetter(Xc,"clearBeforeDraw",!0);N3.Factory.addGetterSetter(Xc,"hitGraphEnabled",!0,(0,g_e.getBooleanValidator)());var T1={};Object.defineProperty(T1,"__esModule",{value:!0});T1.FastLayer=void 0;const w_e=Bt,x_e=xp,C_e=Le;class D3 extends x_e.Layer{constructor(t){super(t),this.listening(!1),w_e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}T1.FastLayer=D3;D3.prototype.nodeType="FastLayer";(0,C_e._registerNode)(D3);var Qc={};Object.defineProperty(Qc,"__esModule",{value:!0});Qc.Group=void 0;const T_e=Bt,E_e=$l,P_e=Le;class L3 extends E_e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&T_e.Util.throw("You may only add groups and shapes to groups.")}}Qc.Group=L3;L3.prototype.nodeType="Group";(0,P_e._registerNode)(L3);var Zc={};Object.defineProperty(Zc,"__esModule",{value:!0});Zc.Animation=void 0;const __=Le,jk=Bt;var w_=function(){return __.glob.performance&&__.glob.performance.now?function(){return __.glob.performance.now()}:function(){return new Date().getTime()}}();class ao{constructor(t,n){this.id=ao.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:w_(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ao,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=w_(),ao._addAnimation(this),this}stop(){return ao._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(w_()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=ao;t.animations.length?(t._runFrames(),jk.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,jk.Util.requestAnimFrame(this._animationLoop))}}Zc.Animation=ao;ao.animations=[];ao.animIdCounter=0;ao.animRunning=!1;var QF={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Bt,n=Zc,r=At,i=Le;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,S,v,y,g,b){this.prop=p,this.propFunc=m,this.begin=v,this._pos=v,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=b,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=S,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,S=p.node,v=S._id,y,g=p.easing||e.Easings.Linear,b=!!p.yoyo,_;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=S,this._id=u++;var w=S.getLayer()||(S instanceof i.Konva.Stage?S.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(_,function(x){m._tweenFunc(x)},g,0,1,y*1e3,b),this._addListeners(),f.attrs[v]||(f.attrs[v]={}),f.attrs[v][this._id]||(f.attrs[v][this._id]={}),f.tweens[v]||(f.tweens[v]={});for(_ in p)o[_]===void 0&&this._addAttr(_,p[_]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var S=this.node,v=S._id,y,g,b,_,w,x,C,k;if(b=f.tweens[v][p],b&&delete f.attrs[v][b][p],y=S.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,S.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,S.closed()))),p.indexOf("fill")===0)for(_=0;_<w;_++)if(_%2===0)g.push(m[_]-y[_]);else{var P=t.Util.colorToRGBA(y[_]);k=t.Util.colorToRGBA(m[_]),y[_]=P,g.push({r:k.r-P.r,g:k.g-P.g,b:k.b-P.b,a:k.a-P.a})}else for(_=0;_<w;_++)g.push(m[_]-y[_]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),k=t.Util.colorToRGBA(m),g={r:k.r-y.r,g:k.g-y.g,b:k.b-y.b,a:k.a-y.a}):g=m-y;f.attrs[v][this._id][p]={start:y,diff:g,end:m,trueEnd:x,trueStart:C},f.tweens[v][p]=this._id}_tweenFunc(p){var m=this.node,S=f.attrs[m._id][this._id],v,y,g,b,_,w,x,C;for(v in S){if(y=S[v],g=y.start,b=y.diff,C=y.end,t.Util._isArray(g))if(_=[],x=Math.max(g.length,C.length),v.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?_.push((g[w]||0)+b[w]*p):_.push("rgba("+Math.round(g[w].r+b[w].r*p)+","+Math.round(g[w].g+b[w].g*p)+","+Math.round(g[w].b+b[w].b*p)+","+(g[w].a+b[w].a*p)+")");else for(w=0;w<x;w++)_.push((g[w]||0)+b[w]*p);else c.indexOf(v)!==-1?_="rgba("+Math.round(g.r+b.r*p)+","+Math.round(g.g+b.g*p)+","+Math.round(g.b+b.b*p)+","+(g.a+b.a*p)+")":_=g+b*p;m.setAttr(v,_)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,S=f.tweens[p],v;this.pause();for(v in S)delete f.tweens[p][v];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,S){var v=1.70158;return m*(h/=S)*h*((v+1)*h-v)+p},BackEaseOut(h,p,m,S){var 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a=s[0],l=s[1],u=s[2],c=s[3],d=s[4],f=s[5],h=s[6],p=s[7],m=u>c?u:c,S=u>c?1:u/c,v=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(S,v),t.arc(0,0,m,d,d+f,1-p),t.scale(1/S,1/v),t.rotate(-h),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),d<0)for(let p=c-h;p>f;p-=h){const m=ln.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;p<f;p+=h){const m=ln.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}}else if(u.command==="C")for(let p=0;p<=1;p+=.01){const m=ln.getPointOnCubicBezier(p,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(m.x,m.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return ln.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return ln.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return ln.getPointOnCubicBezier((0,lu.t2length)(t,ln.getPathLength(n),m=>(0,lu.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return ln.getPointOnQuadraticBezier((0,lu.t2length)(t,ln.getPathLength(n),m=>(0,lu.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],m)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],c=a[2],d=a[3],f=a[4],h=a[5],p=a[6];return f+=h*t/s.pathLength,ln.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:s,y:a+c};else if((a-r)/(s-n+1e-8)===l)d={x:s+u,y:a+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(s-n)*(i-n)+(a-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var S=this.getLineLength(s,a,f,h),v=Math.sqrt(t*t-S*S);u=Math.sqrt(v*v/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(S){return S*S*S}function d(S){return 3*S*S*(1-S)}function f(S){return 3*S*(1-S)*(1-S)}function h(S){return(1-S)*(1-S)*(1-S)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,S=a.length;m<S;m++){if(a[m]==="00"){p.push(0,0);continue}var v=parseFloat(a[m]);isNaN(v)?p.push(0):p.push(v)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],b=l,_=u,w,x,C,k,P,A,$,N,T,O;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var I=p.shift(),M=p.shift();if(l+=I,u+=M,y="M",s.length>2&&s[s.length-1].command==="z"){for(var R=s.length-2;R>=0;R--)if(s[R].command==="M"){l=s[R].points[0]+I,u=s[R].points[1]+M;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":k=p.shift(),P=p.shift(),A=p.shift(),$=p.shift(),N=p.shift(),T=l,O=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(T,O,l,u,$,N,k,P,A);break;case"a":k=p.shift(),P=p.shift(),A=p.shift(),$=p.shift(),N=p.shift(),T=l,O=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(T,O,l,u,$,N,k,P,A);break}s.push({command:y||h,points:g,start:{x:b,y:_},pathLength:this.calcLength(b,_,y||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=ln;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,lu.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,lu.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,S=p*-l*d/a,v=(t+r)/2+Math.cos(c)*m-Math.sin(c)*S,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*S,g=function(P){return Math.sqrt(P[0]*P[0]+P[1]*P[1])},b=function(P,A){return(P[0]*A[0]+P[1]*A[1])/(g(P)*g(A))},_=function(P,A){return(P[0]*A[1]<P[1]*A[0]?-1:1)*Math.acos(b(P,A))},w=_([1,0],[(d-m)/a,(f-S)/l]),x=[(d-m)/a,(f-S)/l],C=[(-1*d-m)/a,(-1*f-S)/l],k=_(x,C);return b(x,C)<=-1&&(k=Math.PI),b(x,C)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[v,y,a,l,w,k,c,s]}}Jc.Path=ln;ln.prototype.className="Path";ln.prototype._attrsAffectingSize=["data"];(0,N_e._registerNode)(ln);I_e.Factory.addGetterSetter(ln,"data");Object.defineProperty(A1,"__esModule",{value:!0});A1.Arrow=void 0;const R1=Ie,D_e=Cp,eB=fe,L_e=Le,Uk=Jc;class Bl extends D_e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=Uk.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=Uk.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}A1.Arrow=Bl;Bl.prototype.className="Arrow";(0,L_e._registerNode)(Bl);R1.Factory.addGetterSetter(Bl,"pointerLength",10,(0,eB.getNumberValidator)());R1.Factory.addGetterSetter(Bl,"pointerWidth",10,(0,eB.getNumberValidator)());R1.Factory.addGetterSetter(Bl,"pointerAtBeginning",!1);R1.Factory.addGetterSetter(Bl,"pointerAtEnding",!0);var I1={};Object.defineProperty(I1,"__esModule",{value:!0});I1.Circle=void 0;const $_e=Ie,F_e=pn,B_e=fe,j_e=Le;class ed extends F_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}}I1.Circle=ed;ed.prototype._centroid=!0;ed.prototype.className="Circle";ed.prototype._attrsAffectingSize=["radius"];(0,j_e._registerNode)(ed);$_e.Factory.addGetterSetter(ed,"radius",0,(0,B_e.getNumberValidator)());var M1={};Object.defineProperty(M1,"__esModule",{value:!0});M1.Ellipse=void 0;const $3=Ie,V_e=pn,tB=fe,z_e=Le;class Oa extends V_e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}M1.Ellipse=Oa;Oa.prototype.className="Ellipse";Oa.prototype._centroid=!0;Oa.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,z_e._registerNode)(Oa);$3.Factory.addComponentsGetterSetter(Oa,"radius",["x","y"]);$3.Factory.addGetterSetter(Oa,"radiusX",0,(0,tB.getNumberValidator)());$3.Factory.addGetterSetter(Oa,"radiusY",0,(0,tB.getNumberValidator)());var N1={};Object.defineProperty(N1,"__esModule",{value:!0});N1.Image=void 0;const x_=Bt,jl=Ie,U_e=pn,G_e=Le,Tp=fe;let Ro=class nB extends U_e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?x_.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?x_.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=x_.Util.createImageElement();i.onload=function(){var o=new nB({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};N1.Image=Ro;Ro.prototype.className="Image";(0,G_e._registerNode)(Ro);jl.Factory.addGetterSetter(Ro,"cornerRadius",0,(0,Tp.getNumberOrArrayOfNumbersValidator)(4));jl.Factory.addGetterSetter(Ro,"image");jl.Factory.addComponentsGetterSetter(Ro,"crop",["x","y","width","height"]);jl.Factory.addGetterSetter(Ro,"cropX",0,(0,Tp.getNumberValidator)());jl.Factory.addGetterSetter(Ro,"cropY",0,(0,Tp.getNumberValidator)());jl.Factory.addGetterSetter(Ro,"cropWidth",0,(0,Tp.getNumberValidator)());jl.Factory.addGetterSetter(Ro,"cropHeight",0,(0,Tp.getNumberValidator)());var Dc={};Object.defineProperty(Dc,"__esModule",{value:!0});Dc.Tag=Dc.Label=void 0;const D1=Ie,H_e=pn,q_e=Qc,F3=fe,rB=Le;var iB=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],W_e="Change.konva",K_e="none",fx="up",hx="right",px="down",gx="left",Y_e=iB.length;class B3 extends q_e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<Y_e;r++)t.on(iB[r]+W_e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case fx:a=r/2,l=-1*u;break;case hx:a=r+s,l=i/2;break;case px:a=r/2,l=i+u;break;case gx:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Dc.Label=B3;B3.prototype.className="Label";(0,rB._registerNode)(B3);class Vl extends H_e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===fx&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===hx&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===px&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===gx&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===fx?(n-=i,a+=i):o===px?a+=i:o===gx?(t-=r*1.5,s+=r):o===hx&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Dc.Tag=Vl;Vl.prototype.className="Tag";(0,rB._registerNode)(Vl);D1.Factory.addGetterSetter(Vl,"pointerDirection",K_e);D1.Factory.addGetterSetter(Vl,"pointerWidth",0,(0,F3.getNumberValidator)());D1.Factory.addGetterSetter(Vl,"pointerHeight",0,(0,F3.getNumberValidator)());D1.Factory.addGetterSetter(Vl,"cornerRadius",0,(0,F3.getNumberOrArrayOfNumbersValidator)(4));var Ep={};Object.defineProperty(Ep,"__esModule",{value:!0});Ep.Rect=void 0;const X_e=Ie,Q_e=pn,Z_e=Le,J_e=Bt,e2e=fe;let L1=class extends Q_e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?J_e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Ep.Rect=L1;L1.prototype.className="Rect";(0,Z_e._registerNode)(L1);X_e.Factory.addGetterSetter(L1,"cornerRadius",0,(0,e2e.getNumberOrArrayOfNumbersValidator)(4));var $1={};Object.defineProperty($1,"__esModule",{value:!0});$1.RegularPolygon=void 0;const oB=Ie,t2e=pn,sB=fe,n2e=Le;class zl extends t2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}$1.RegularPolygon=zl;zl.prototype.className="RegularPolygon";zl.prototype._centroid=!0;zl.prototype._attrsAffectingSize=["radius"];(0,n2e._registerNode)(zl);oB.Factory.addGetterSetter(zl,"radius",0,(0,sB.getNumberValidator)());oB.Factory.addGetterSetter(zl,"sides",0,(0,sB.getNumberValidator)());var F1={};Object.defineProperty(F1,"__esModule",{value:!0});F1.Ring=void 0;const aB=Ie,r2e=pn,lB=fe,i2e=Le;var Gk=Math.PI*2;class Ul extends r2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,Gk,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),Gk,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}F1.Ring=Ul;Ul.prototype.className="Ring";Ul.prototype._centroid=!0;Ul.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,i2e._registerNode)(Ul);aB.Factory.addGetterSetter(Ul,"innerRadius",0,(0,lB.getNumberValidator)());aB.Factory.addGetterSetter(Ul,"outerRadius",0,(0,lB.getNumberValidator)());var B1={};Object.defineProperty(B1,"__esModule",{value:!0});B1.Sprite=void 0;const Gl=Ie,o2e=pn,s2e=Zc,uB=fe,a2e=Le;class Io extends o2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new s2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}B1.Sprite=Io;Io.prototype.className="Sprite";(0,a2e._registerNode)(Io);Gl.Factory.addGetterSetter(Io,"animation");Gl.Factory.addGetterSetter(Io,"animations");Gl.Factory.addGetterSetter(Io,"frameOffsets");Gl.Factory.addGetterSetter(Io,"image");Gl.Factory.addGetterSetter(Io,"frameIndex",0,(0,uB.getNumberValidator)());Gl.Factory.addGetterSetter(Io,"frameRate",17,(0,uB.getNumberValidator)());Gl.Factory.backCompat(Io,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var j1={};Object.defineProperty(j1,"__esModule",{value:!0});j1.Star=void 0;const j3=Ie,l2e=pn,V3=fe,u2e=Le;class Ra extends l2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}j1.Star=Ra;Ra.prototype.className="Star";Ra.prototype._centroid=!0;Ra.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,u2e._registerNode)(Ra);j3.Factory.addGetterSetter(Ra,"numPoints",5,(0,V3.getNumberValidator)());j3.Factory.addGetterSetter(Ra,"innerRadius",0,(0,V3.getNumberValidator)());j3.Factory.addGetterSetter(Ra,"outerRadius",0,(0,V3.getNumberValidator)());var xl={};Object.defineProperty(xl,"__esModule",{value:!0});xl.Text=xl.stringToArray=void 0;const mx=Bt,yr=Ie,c2e=pn,Ia=fe,d2e=Le;function cB(e){return Array.from(e)}xl.stringToArray=cB;var uu="auto",f2e="center",Rd="justify",h2e="Change.konva",p2e="2d",Hk="-",dB="left",g2e="text",m2e="Text",y2e="top",v2e="bottom",qk="middle",fB="normal",b2e="px ",Og=" ",S2e="right",_2e="word",w2e="char",Wk="none",C_="…",hB=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],x2e=hB.length;function C2e(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Rg;function T_(){return Rg||(Rg=mx.Util.createCanvasElement().getContext(p2e),Rg)}function T2e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function E2e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function P2e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Xt extends c2e.Shape{constructor(t){super(P2e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<x2e;n++)this.on(hB[n]+h2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,S,v=0,v=s/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",qk),t.setAttr("textAlign",dB),a===qk?l=(this.getHeight()-r*s-i*2)/2:a===v2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),S=0;S<r;S++){var y=0,g=0,b=n[S],_=b.text,w=b.width,x=b.lastInParagraph,C,k,P;if(t.save(),u===S2e?y+=c-w-i*2:u===f2e&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,v+g+Math.round(o/2)),C=_.split(" ").length-1,k=C===0,P=u===Rd&&!x?c-i*2:w,t.lineTo(y+Math.round(P),v+g+Math.round(o/2)),t.lineWidth=o/15;const I=this._getLinearGradient();t.strokeStyle=I||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,v+g),C=_.split(" ").length-1,k=C===0,P=u===Rd&&x&&!k?c-i*2:w,t.lineTo(y+Math.round(P),v+g),t.lineWidth=o/15;const I=this._getLinearGradient();t.strokeStyle=I||f,t.stroke(),t.restore()}if(d!==0||u===Rd){C=_.split(" ").length-1;for(var A=cB(_),$=0;$<A.length;$++){var N=A[$];N===" "&&!x&&u===Rd&&(y+=(c-i*2-w)/C),this._partialTextX=y,this._partialTextY=v+g,this._partialText=N,t.fillStrokeShape(this),y+=this.measureSize(N).width+d}}else this._partialTextX=y,this._partialTextY=v+g,this._partialText=_,t.fillStrokeShape(this);t.restore(),r>1&&(v+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=mx.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(g2e,n),this}getWidth(){var t=this.attrs.width===uu||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===uu||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return mx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=T_(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Og+this.fontVariant()+Og+(this.fontSize()+b2e)+C2e(this.fontFamily())}_addTextLine(t){this.align()===Rd&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return T_().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==uu&&o!==void 0,l=s!==uu&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==Wk,m=h!==w2e&&p,S=this.ellipsis();this.textArr=[],T_().font=this._getContextFont();for(var v=S?this._getTextWidth(C_):0,y=0,g=t.length;y<g;++y){var b=t[y],_=this._getTextWidth(b);if(a&&_>c)for(;b.length>0;){for(var w=0,x=b.length,C="",k=0;w<x;){var P=w+x>>>1,A=b.slice(0,P+1),$=this._getTextWidth(A)+v;$<=c?(w=P+1,C=A,k=$):x=P}if(C){if(m){var N,T=b[C.length],O=T===Og||T===Hk;O&&k<=c?N=C.length:N=Math.max(C.lastIndexOf(Og),C.lastIndexOf(Hk))+1,N>0&&(w=N,C=C.slice(0,w),k=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,k),f+=i;var I=this._shouldHandleEllipsis(f);if(I){this._tryToAddEllipsisToLastLine();break}if(b=b.slice(w),b=b.trimLeft(),b.length>0&&(_=this._getTextWidth(b),_<=c)){this._addTextLine(b),f+=i,r=Math.max(r,_);break}}else break}else this._addTextLine(b),f+=i,r=Math.max(r,_),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==uu&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==Wk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==uu&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+C_)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+C_)}}getStrokeScaleEnabled(){return!0}}xl.Text=Xt;Xt.prototype._fillFunc=T2e;Xt.prototype._strokeFunc=E2e;Xt.prototype.className=m2e;Xt.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,d2e._registerNode)(Xt);yr.Factory.overWriteSetter(Xt,"width",(0,Ia.getNumberOrAutoValidator)());yr.Factory.overWriteSetter(Xt,"height",(0,Ia.getNumberOrAutoValidator)());yr.Factory.addGetterSetter(Xt,"fontFamily","Arial");yr.Factory.addGetterSetter(Xt,"fontSize",12,(0,Ia.getNumberValidator)());yr.Factory.addGetterSetter(Xt,"fontStyle",fB);yr.Factory.addGetterSetter(Xt,"fontVariant",fB);yr.Factory.addGetterSetter(Xt,"padding",0,(0,Ia.getNumberValidator)());yr.Factory.addGetterSetter(Xt,"align",dB);yr.Factory.addGetterSetter(Xt,"verticalAlign",y2e);yr.Factory.addGetterSetter(Xt,"lineHeight",1,(0,Ia.getNumberValidator)());yr.Factory.addGetterSetter(Xt,"wrap",_2e);yr.Factory.addGetterSetter(Xt,"ellipsis",!1,(0,Ia.getBooleanValidator)());yr.Factory.addGetterSetter(Xt,"letterSpacing",0,(0,Ia.getNumberValidator)());yr.Factory.addGetterSetter(Xt,"text","",(0,Ia.getStringValidator)());yr.Factory.addGetterSetter(Xt,"textDecoration","");var V1={};Object.defineProperty(V1,"__esModule",{value:!0});V1.TextPath=void 0;const E_=Bt,Wi=Ie,k2e=pn,Id=Jc,P_=xl,pB=fe,A2e=Le;var O2e="",gB="normal";function mB(e){e.fillText(this.partialText,0,0)}function yB(e){e.strokeText(this.partialText,0,0)}class gn extends k2e.Shape{constructor(t){super(t),this.dummyCanvas=E_.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Id.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Id.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Id.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return E_.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return P_.Text.prototype.setText.call(this,t)}_getContextFont(){return P_.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,P_.stringToArray)(this.text());let u=a;for(var c=0;c<l.length;c++){const d=this._getPointAtLength(u);if(!d)return;let f=this._getTextSize(l[c]).width+r;if(l[c]===" "&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-s)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=Id.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const S=Id.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),v=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:S.x,transposeY:S.y,text:l[c],rotation:v,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return E_.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}V1.TextPath=gn;gn.prototype._fillFunc=mB;gn.prototype._strokeFunc=yB;gn.prototype._fillFuncHit=mB;gn.prototype._strokeFuncHit=yB;gn.prototype.className="TextPath";gn.prototype._attrsAffectingSize=["text","fontSize","data"];(0,A2e._registerNode)(gn);Wi.Factory.addGetterSetter(gn,"data");Wi.Factory.addGetterSetter(gn,"fontFamily","Arial");Wi.Factory.addGetterSetter(gn,"fontSize",12,(0,pB.getNumberValidator)());Wi.Factory.addGetterSetter(gn,"fontStyle",gB);Wi.Factory.addGetterSetter(gn,"align","left");Wi.Factory.addGetterSetter(gn,"letterSpacing",0,(0,pB.getNumberValidator)());Wi.Factory.addGetterSetter(gn,"textBaseline","middle");Wi.Factory.addGetterSetter(gn,"fontVariant",gB);Wi.Factory.addGetterSetter(gn,"text",O2e);Wi.Factory.addGetterSetter(gn,"textDecoration",null);Wi.Factory.addGetterSetter(gn,"kerningFunc",null);var z1={};Object.defineProperty(z1,"__esModule",{value:!0});z1.Transformer=void 0;const at=Bt,st=Ie,Kk=At,R2e=pn,I2e=Ep,Yk=Qc,Ci=Le,Ma=fe,M2e=Le;var vB="tr-konva",N2e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${vB}`).join(" "),Xk="nodesRect",D2e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],L2e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const $2e="ontouchstart"in Ci.Konva._global;function F2e(e,t){if(e==="rotater")return"crosshair";t+=at.Util.degToRad(L2e[e]||0);var n=(at.Util.radToDeg(t)%360+360)%360;return at.Util._inRange(n,315+22.5,360)||at.Util._inRange(n,0,22.5)?"ns-resize":at.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":at.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":at.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":at.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":at.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":at.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":at.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(at.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var a0=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],Qk=1e8;function B2e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function bB(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function j2e(e,t){const n=B2e(e);return bB(e,t,n)}function V2e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Ci.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Je extends Yk.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(N2e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return at.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return vB+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(at.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(D2e.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(Xk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(Xk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Ci.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return bB(c,-Ci.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-Qk,y:-Qk,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new at.Transform;r.rotate(-Ci.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Ci.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),a0.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new I2e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:$2e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Ci.Konva.getAngle(this.rotation()),o=F2e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new R2e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*at.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let N=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(N-=Math.PI);var f=Ci.Konva.getAngle(this.rotation());const T=f+N,O=Ci.Konva.getAngle(this.rotationSnapTolerance()),M=V2e(this.rotationSnaps(),T,O)-d.rotation,R=j2e(d,M);this._fitNodesInto(R,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var S=this.findOne(".top-left").x()>m.x?-1:1,v=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*S,r=i*this.sin*v,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var S=this.findOne(".top-right").x()<m.x?-1:1,v=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*S,r=i*this.sin*v,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var S=m.x<o.x()?-1:1,v=o.y()<m.y?-1:1;n=i*this.cos*S,r=i*this.sin*v,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var S=this.findOne(".bottom-right").x()<m.x?-1:1,v=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*S,r=i*this.sin*v,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var b=this.findOne(".top-left"),_=this.findOne(".bottom-right"),w=b.x(),x=b.y(),C=this.getWidth()-_.x(),k=this.getHeight()-_.y();_.move({x:-w,y:-x}),b.move({x:C,y:k})}var P=this.findOne(".top-left").getAbsolutePosition();n=P.x,r=P.y;var A=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),$=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:A,height:$,rotation:Ci.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(at.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(at.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new at.Transform;if(s.rotate(Ci.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:at.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new at.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new at.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new at.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const S=m.decompose();d.setAttrs(S),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(at.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(at.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*at.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),Yk.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Kk.Node.prototype.toObject.call(this)}clone(t){var n=Kk.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}z1.Transformer=Je;function z2e(e){return e instanceof Array||at.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){a0.indexOf(t)===-1&&at.Util.warn("Unknown anchor name: "+t+". Available names are: "+a0.join(", "))}),e||[]}Je.prototype.className="Transformer";(0,M2e._registerNode)(Je);st.Factory.addGetterSetter(Je,"enabledAnchors",a0,z2e);st.Factory.addGetterSetter(Je,"flipEnabled",!0,(0,Ma.getBooleanValidator)());st.Factory.addGetterSetter(Je,"resizeEnabled",!0);st.Factory.addGetterSetter(Je,"anchorSize",10,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"rotateEnabled",!0);st.Factory.addGetterSetter(Je,"rotationSnaps",[]);st.Factory.addGetterSetter(Je,"rotateAnchorOffset",50,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"rotationSnapTolerance",5,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"borderEnabled",!0);st.Factory.addGetterSetter(Je,"anchorStroke","rgb(0, 161, 255)");st.Factory.addGetterSetter(Je,"anchorStrokeWidth",1,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"anchorFill","white");st.Factory.addGetterSetter(Je,"anchorCornerRadius",0,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"borderStroke","rgb(0, 161, 255)");st.Factory.addGetterSetter(Je,"borderStrokeWidth",1,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"borderDash");st.Factory.addGetterSetter(Je,"keepRatio",!0);st.Factory.addGetterSetter(Je,"shiftBehavior","default");st.Factory.addGetterSetter(Je,"centeredScaling",!1);st.Factory.addGetterSetter(Je,"ignoreStroke",!1);st.Factory.addGetterSetter(Je,"padding",0,(0,Ma.getNumberValidator)());st.Factory.addGetterSetter(Je,"node");st.Factory.addGetterSetter(Je,"nodes");st.Factory.addGetterSetter(Je,"boundBoxFunc");st.Factory.addGetterSetter(Je,"anchorDragBoundFunc");st.Factory.addGetterSetter(Je,"anchorStyleFunc");st.Factory.addGetterSetter(Je,"shouldOverdrawWholeArea",!1);st.Factory.addGetterSetter(Je,"useSingleNodeRotation",!0);st.Factory.backCompat(Je,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var U1={};Object.defineProperty(U1,"__esModule",{value:!0});U1.Wedge=void 0;const G1=Ie,U2e=pn,G2e=Le,SB=fe,H2e=Le;class Ss extends U2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,G2e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}U1.Wedge=Ss;Ss.prototype.className="Wedge";Ss.prototype._centroid=!0;Ss.prototype._attrsAffectingSize=["radius"];(0,H2e._registerNode)(Ss);G1.Factory.addGetterSetter(Ss,"radius",0,(0,SB.getNumberValidator)());G1.Factory.addGetterSetter(Ss,"angle",0,(0,SB.getNumberValidator)());G1.Factory.addGetterSetter(Ss,"clockwise",!1);G1.Factory.backCompat(Ss,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var H1={};Object.defineProperty(H1,"__esModule",{value:!0});H1.Blur=void 0;const Zk=Ie,q2e=At,W2e=fe;function Jk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var K2e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Y2e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function X2e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,S,v,y,g,b,_,w,x,C,k,P,A,$,N=t+t+1,T=r-1,O=i-1,I=t+1,M=I*(I+1)/2,R=new Jk,D=null,L=R,V=null,z=null,U=K2e[t],K=Y2e[t];for(a=1;a<N;a++)L=L.next=new Jk,a===I&&(D=L);for(L.next=R,d=c=0,s=0;s<i;s++){for(b=_=w=x=f=h=p=m=0,S=I*(C=n[c]),v=I*(k=n[c+1]),y=I*(P=n[c+2]),g=I*(A=n[c+3]),f+=M*C,h+=M*k,p+=M*P,m+=M*A,L=R,a=0;a<I;a++)L.r=C,L.g=k,L.b=P,L.a=A,L=L.next;for(a=1;a<I;a++)l=c+((T<a?T:a)<<2),f+=(L.r=C=n[l])*($=I-a),h+=(L.g=k=n[l+1])*$,p+=(L.b=P=n[l+2])*$,m+=(L.a=A=n[l+3])*$,b+=C,_+=k,w+=P,x+=A,L=L.next;for(V=R,z=D,o=0;o<r;o++)n[c+3]=A=m*U>>K,A!==0?(A=255/A,n[c]=(f*U>>K)*A,n[c+1]=(h*U>>K)*A,n[c+2]=(p*U>>K)*A):n[c]=n[c+1]=n[c+2]=0,f-=S,h-=v,p-=y,m-=g,S-=V.r,v-=V.g,y-=V.b,g-=V.a,l=d+((l=o+t+1)<T?l:T)<<2,b+=V.r=n[l],_+=V.g=n[l+1],w+=V.b=n[l+2],x+=V.a=n[l+3],f+=b,h+=_,p+=w,m+=x,V=V.next,S+=C=z.r,v+=k=z.g,y+=P=z.b,g+=A=z.a,b-=C,_-=k,w-=P,x-=A,z=z.next,c+=4;d+=r}for(o=0;o<r;o++){for(_=w=x=b=h=p=m=f=0,c=o<<2,S=I*(C=n[c]),v=I*(k=n[c+1]),y=I*(P=n[c+2]),g=I*(A=n[c+3]),f+=M*C,h+=M*k,p+=M*P,m+=M*A,L=R,a=0;a<I;a++)L.r=C,L.g=k,L.b=P,L.a=A,L=L.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(L.r=C=n[c])*($=I-a),h+=(L.g=k=n[c+1])*$,p+=(L.b=P=n[c+2])*$,m+=(L.a=A=n[c+3])*$,b+=C,_+=k,w+=P,x+=A,L=L.next,a<O&&(u+=r);for(c=o,V=R,z=D,s=0;s<i;s++)l=c<<2,n[l+3]=A=m*U>>K,A>0?(A=255/A,n[l]=(f*U>>K)*A,n[l+1]=(h*U>>K)*A,n[l+2]=(p*U>>K)*A):n[l]=n[l+1]=n[l+2]=0,f-=S,h-=v,p-=y,m-=g,S-=V.r,v-=V.g,y-=V.b,g-=V.a,l=o+((l=s+I)<O?l:O)*r<<2,f+=b+=V.r=n[l],h+=_+=V.g=n[l+1],p+=w+=V.b=n[l+2],m+=x+=V.a=n[l+3],V=V.next,S+=C=z.r,v+=k=z.g,y+=P=z.b,g+=A=z.a,b-=C,_-=k,w-=P,x-=A,z=z.next,c+=r}}const Q2e=function(t){var n=Math.round(this.blurRadius());n>0&&X2e(t,n)};H1.Blur=Q2e;Zk.Factory.addGetterSetter(q2e.Node,"blurRadius",0,(0,W2e.getNumberValidator)(),Zk.Factory.afterSetFilter);var q1={};Object.defineProperty(q1,"__esModule",{value:!0});q1.Brighten=void 0;const eA=Ie,Z2e=At,J2e=fe,ewe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};q1.Brighten=ewe;eA.Factory.addGetterSetter(Z2e.Node,"brightness",0,(0,J2e.getNumberValidator)(),eA.Factory.afterSetFilter);var W1={};Object.defineProperty(W1,"__esModule",{value:!0});W1.Contrast=void 0;const tA=Ie,twe=At,nwe=fe,rwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};W1.Contrast=rwe;tA.Factory.addGetterSetter(twe.Node,"contrast",0,(0,nwe.getNumberValidator)(),tA.Factory.afterSetFilter);var K1={};Object.defineProperty(K1,"__esModule",{value:!0});K1.Emboss=void 0;const ba=Ie,Y1=At,iwe=Bt,_B=fe,owe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:iwe.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var S=f+(m-1)*4,v=s;m+v<1&&(v=0),m+v>l&&(v=0);var y=p+(m-1+v)*4,g=a[S]-a[y],b=a[S+1]-a[y+1],_=a[S+2]-a[y+2],w=g,x=w>0?w:-w,C=b>0?b:-b,k=_>0?_:-_;if(C>x&&(w=b),k>x&&(w=_),w*=t,i){var P=a[S]+w,A=a[S+1]+w,$=a[S+2]+w;a[S]=P>255?255:P<0?0:P,a[S+1]=A>255?255:A<0?0:A,a[S+2]=$>255?255:$<0?0:$}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[S]=a[S+1]=a[S+2]=N}}while(--m)}while(--d)};K1.Emboss=owe;ba.Factory.addGetterSetter(Y1.Node,"embossStrength",.5,(0,_B.getNumberValidator)(),ba.Factory.afterSetFilter);ba.Factory.addGetterSetter(Y1.Node,"embossWhiteLevel",.5,(0,_B.getNumberValidator)(),ba.Factory.afterSetFilter);ba.Factory.addGetterSetter(Y1.Node,"embossDirection","top-left",null,ba.Factory.afterSetFilter);ba.Factory.addGetterSetter(Y1.Node,"embossBlend",!1,null,ba.Factory.afterSetFilter);var X1={};Object.defineProperty(X1,"__esModule",{value:!0});X1.Enhance=void 0;const nA=Ie,swe=At,awe=fe;function k_(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const lwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,S,v,y,g,b,_,w;for(h>0?(m=i+h*(255-i),S=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),_=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),S=r+h*(r-p),v=(a+s)*.5,y=a+h*(a-v),g=s+h*(s-v),b=(c+u)*.5,_=c+h*(c-b),w=u+h*(u-b)),f=0;f<n;f+=4)t[f+0]=k_(t[f+0],r,i,S,m),t[f+1]=k_(t[f+1],s,a,g,y),t[f+2]=k_(t[f+2],u,c,w,_)}};X1.Enhance=lwe;nA.Factory.addGetterSetter(swe.Node,"enhance",0,(0,awe.getNumberValidator)(),nA.Factory.afterSetFilter);var Q1={};Object.defineProperty(Q1,"__esModule",{value:!0});Q1.Grayscale=void 0;const uwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};Q1.Grayscale=uwe;var Z1={};Object.defineProperty(Z1,"__esModule",{value:!0});Z1.HSL=void 0;const Lc=Ie,z3=At,U3=fe;Lc.Factory.addGetterSetter(z3.Node,"hue",0,(0,U3.getNumberValidator)(),Lc.Factory.afterSetFilter);Lc.Factory.addGetterSetter(z3.Node,"saturation",0,(0,U3.getNumberValidator)(),Lc.Factory.afterSetFilter);Lc.Factory.addGetterSetter(z3.Node,"luminance",0,(0,U3.getNumberValidator)(),Lc.Factory.afterSetFilter);const cwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,S=.299*r-.3*l+1.25*u,v=.587*r-.586*l-1.05*u,y=.114*r+.886*l-.2*u,g,b,_,w;for(a=0;a<n;a+=4)g=t[a+0],b=t[a+1],_=t[a+2],w=t[a+3],t[a+0]=c*g+d*b+f*_+s,t[a+1]=h*g+p*b+m*_+s,t[a+2]=S*g+v*b+y*_+s,t[a+3]=w};Z1.HSL=cwe;var J1={};Object.defineProperty(J1,"__esModule",{value:!0});J1.HSV=void 0;const $c=Ie,G3=At,H3=fe,dwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,S=.587*r-.586*a-1.05*l,v=.114*r+.886*a-.2*l,y,g,b,_;for(s=0;s<n;s+=4)y=t[s+0],g=t[s+1],b=t[s+2],_=t[s+3],t[s+0]=u*y+c*g+d*b,t[s+1]=f*y+h*g+p*b,t[s+2]=m*y+S*g+v*b,t[s+3]=_};J1.HSV=dwe;$c.Factory.addGetterSetter(G3.Node,"hue",0,(0,H3.getNumberValidator)(),$c.Factory.afterSetFilter);$c.Factory.addGetterSetter(G3.Node,"saturation",0,(0,H3.getNumberValidator)(),$c.Factory.afterSetFilter);$c.Factory.addGetterSetter(G3.Node,"value",0,(0,H3.getNumberValidator)(),$c.Factory.afterSetFilter);var eb={};Object.defineProperty(eb,"__esModule",{value:!0});eb.Invert=void 0;const fwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};eb.Invert=fwe;var tb={};Object.defineProperty(tb,"__esModule",{value:!0});tb.Kaleidoscope=void 0;const l0=Ie,wB=At,rA=Bt,xB=fe;var hwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,S,v=Math.sqrt(a*a+l*l);c=o-a,d=s-l,S=Math.sqrt(c*c+d*d),v=S>v?S:v;var y=s,g=o,b,_,w=360/g*Math.PI/180,x,C;for(_=0;_<g;_+=1)for(x=Math.sin(_*w),C=Math.cos(_*w),b=0;b<y;b+=1)c=Math.floor(a+v*b/y*C),d=Math.floor(l+v*b/y*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(_+b*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},pwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,S=0,v=0,y,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var b=s,_=o,w,x,C=n.polarRotation||0,k,P;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*b/g,x=(Math.atan2(h,f)*180/Math.PI+360+C)%360,x=x*_/360,k=Math.floor(x),P=Math.floor(w),u=(P*o+k)*4,p=r[u+0],m=r[u+1],S=r[u+2],v=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=S,i[u+3]=v};const gwe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var S=rA.Util.createCanvasElement();S.width=t,S.height=n;var v=S.getContext("2d").getImageData(0,0,t,n);rA.Util.releaseCanvas(S),hwe(e,v,{polarCenterX:t/2,polarCenterY:n/2});for(var y=t/Math.pow(2,h);y<=8;)y=y*2,h-=1;y=Math.ceil(y);var g=y,b=0,_=g,w=1;for(m+y>t&&(b=g,_=0,w=-1),i=0;i<n;i+=1)for(r=b;r!==_;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=v.data[d+0],l=v.data[d+1],u=v.data[d+2],c=v.data[d+3],f=(t*i+r)*4,v.data[f+0]=a,v.data[f+1]=l,v.data[f+2]=u,v.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=v.data[d+0],l=v.data[d+1],u=v.data[d+2],c=v.data[d+3],f=(t*i+g*2-r-1)*4,v.data[f+0]=a,v.data[f+1]=l,v.data[f+2]=u,v.data[f+3]=c;g*=2}pwe(v,e,{polarRotation:0})}};tb.Kaleidoscope=gwe;l0.Factory.addGetterSetter(wB.Node,"kaleidoscopePower",2,(0,xB.getNumberValidator)(),l0.Factory.afterSetFilter);l0.Factory.addGetterSetter(wB.Node,"kaleidoscopeAngle",0,(0,xB.getNumberValidator)(),l0.Factory.afterSetFilter);var nb={};Object.defineProperty(nb,"__esModule",{value:!0});nb.Mask=void 0;const iA=Ie,mwe=At,ywe=fe;function Ig(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function Md(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function vwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function bwe(e,t){var n=Ig(e,0,0),r=Ig(e,e.width-1,0),i=Ig(e,0,e.height-1),o=Ig(e,e.width-1,e.height-1),s=t||10;if(Md(n,r)<s&&Md(r,o)<s&&Md(o,i)<s&&Md(i,n)<s){for(var a=vwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=Md(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function Swe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function _we(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c===255*8?255:0}return s}function wwe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c>=255*4?255:0}return s}function xwe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c}return s}const Cwe=function(e){var t=this.threshold(),n=bwe(e,t);return n&&(n=_we(n,e.width,e.height),n=wwe(n,e.width,e.height),n=xwe(n,e.width,e.height),Swe(e,n)),e};nb.Mask=Cwe;iA.Factory.addGetterSetter(mwe.Node,"threshold",0,(0,ywe.getNumberValidator)(),iA.Factory.afterSetFilter);var rb={};Object.defineProperty(rb,"__esModule",{value:!0});rb.Noise=void 0;const oA=Ie,Twe=At,Ewe=fe,Pwe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};rb.Noise=Pwe;oA.Factory.addGetterSetter(Twe.Node,"noise",.2,(0,Ewe.getNumberValidator)(),oA.Factory.afterSetFilter);var ib={};Object.defineProperty(ib,"__esModule",{value:!0});ib.Pixelate=void 0;const sA=Ie,kwe=Bt,Awe=At,Owe=fe,Rwe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,S,v,y,g,b=e.data;if(t<=0){kwe.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};sb.RGB=Lwe;u0.Factory.addGetterSetter(q3.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});u0.Factory.addGetterSetter(q3.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});u0.Factory.addGetterSetter(q3.Node,"blue",0,Dwe.RGBComponent,u0.Factory.afterSetFilter);var ab={};Object.defineProperty(ab,"__esModule",{value:!0});ab.RGBA=void 0;const Oh=Ie,lb=At,$we=fe,Fwe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};ab.RGBA=Fwe;Oh.Factory.addGetterSetter(lb.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Oh.Factory.addGetterSetter(lb.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Oh.Factory.addGetterSetter(lb.Node,"blue",0,$we.RGBComponent,Oh.Factory.afterSetFilter);Oh.Factory.addGetterSetter(lb.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var ub={};Object.defineProperty(ub,"__esModule",{value:!0});ub.Sepia=void 0;const Bwe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};ub.Sepia=Bwe;var cb={};Object.defineProperty(cb,"__esModule",{value:!0});cb.Solarize=void 0;const jwe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};cb.Solarize=jwe;var db={};Object.defineProperty(db,"__esModule",{value:!0});db.Threshold=void 0;const lA=Ie,Vwe=At,zwe=fe,Uwe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};db.Threshold=Uwe;lA.Factory.addGetterSetter(Vwe.Node,"threshold",.5,(0,zwe.getNumberValidator)(),lA.Factory.afterSetFilter);Object.defineProperty(S1,"__esModule",{value:!0});S1.Konva=void 0;const 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Txe=I3.exports;Object.defineProperty(Txe,"__esModule",{value:!0});const Exe=S1;I3.exports=Exe.Konva;var Pxe=I3.exports;const Nd=Cl(Pxe),kxe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new Nd.Stage({container:o,width:r,height:i}),a=new Nd.Layer,l=new Nd.Layer;return a.add(new Nd.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Nd.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},Axe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),dA=async(e,t)=>{const n=e.toDataURL(t);return await 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s="",a=0;bc(r,l=>{const{model_name:u,base_model:c,weight:d}=l,f=`${$xe}_${u.replace(".","_")}`,h={type:"lora_loader",id:f,is_intermediate:!0,lora:{model_name:u,base_model:c},weight:d};o&&o.loras.push({lora:{model_name:u,base_model:c},weight:d}),t.nodes[f]=h,a===0?(t.edges.push({source:{node_id:wt,field:"unet"},destination:{node_id:f,field:"unet"}}),t.edges.push({source:{node_id:ft,field:"clip"},destination:{node_id:f,field:"clip"}})):(t.edges.push({source:{node_id:s,field:"unet"},destination:{node_id:f,field:"unet"}}),t.edges.push({source:{node_id:s,field:"clip"},destination:{node_id:f,field:"clip"}})),a===i-1&&(t.edges.push({source:{node_id:f,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:f,field:"clip"},destination:{node_id:Lt,field:"clip"}}),t.edges.push({source:{node_id:f,field:"clip"},destination:{node_id:Wt,field:"clip"}})),s=f,a+=1})},kp=(e,t)=>{const{vae:n}=e.generation,r=!n,i=t.nodes[fn];r||(t.nodes[Dd]={type:"vae_loader",id:Dd,is_intermediate:!0,vae_model:n}),(t.id===W3||t.id===c0)&&t.edges.push({source:{node_id:r?wt:Dd,field:"vae"},destination:{node_id:Bn,field:"vae"}}),t.id===c0&&t.edges.push({source:{node_id:r?wt:Dd,field:"vae"},destination:{node_id:dr,field:"vae"}}),t.id===kB&&t.edges.push({source:{node_id:r?wt:Dd,field:"vae"},destination:{node_id:Rs,field:"vae"}}),n&&i&&(i.vae=n)},Fxe=Se.child({namespace:"nodes"}),Bxe=(e,t)=>{const{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,img2imgStrength:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d}=e.generation,{width:f,height:h}=e.canvas.boundingBoxDimensions,{shouldAutoSave:p}=e.canvas;if(!i)throw 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e)e.hasOwnProperty(n)&&(t.length&&(t+="&"),t+=encodeURIComponent(n)+"="+encodeURIComponent(e[n]));return t}function g5e(e){let t={},n=e.split("&");for(let r=0,i=n.length;r<i;r++){let o=n[r].split("=");t[decodeURIComponent(o[0])]=decodeURIComponent(o[1])}return t}class m5e extends Error{constructor(t,n,r){super(t),this.description=n,this.context=r,this.type="TransportError"}}class X3 extends sn{constructor(t){super(),this.writable=!1,pb(this,t),this.opts=t,this.query=t.query,this.socket=t.socket}onError(t,n,r){return super.emitReserved("error",new m5e(t,n,r)),this}open(){return this.readyState="opening",this.doOpen(),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const n=Y3(t,this.socket.binaryType);this.onPacket(n)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}pause(t){}createUri(t,n={}){return t+"://"+this._hostname()+this._port()+this.opts.path+this._query(n)}_hostname(){const t=this.opts.hostname;return t.indexOf(":")===-1?t:"["+t+"]"}_port(){return this.opts.port&&(this.opts.secure&&+(this.opts.port!==443)||!this.opts.secure&&Number(this.opts.port)!==80)?":"+this.opts.port:""}_query(t){const n=p5e(t);return n.length?"?"+n:""}}const UB="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),_x=64,y5e={};let xA=0,Lg=0,CA;function TA(e){let t="";do t=UB[e%_x]+t,e=Math.floor(e/_x);while(e>0);return t}function GB(){const e=TA(+new Date);return e!==CA?(xA=0,CA=e):e+"."+TA(xA++)}for(;Lg<_x;Lg++)y5e[UB[Lg]]=Lg;let HB=!1;try{HB=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const v5e=HB;function qB(e){const t=e.xdomain;try{if(typeof 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n=r=>{if(this.readyState==="opening"&&r.type==="open"&&this.onOpen(),r.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(r)};s5e(t,this.socket.binaryType).forEach(n),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,o5e(t,n=>{this.doWrite(n,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){const t=this.opts.secure?"https":"http",n=this.query||{};return this.opts.timestampRequests!==!1&&(n[this.opts.timestampParam]=GB()),!this.supportsBinary&&!n.sid&&(n.b64=1),this.createUri(t,n)}request(t={}){return Object.assign(t,{xd:this.xd,cookieJar:this.cookieJar},this.opts),new ic(this.uri(),t)}doWrite(t,n){const r=this.request({method:"POST",data:t});r.on("success",n),r.on("error",(i,o)=>{this.onError("xhr post error",i,o)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(n,r)=>{this.onError("xhr poll error",n,r)}),this.pollXhr=t}}let ic=class Cm extends sn{constructor(t,n){super(),pb(this,n),this.opts=n,this.method=n.method||"GET",this.uri=t,this.data=n.data!==void 0?n.data:null,this.create()}create(){var t;const n=zB(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");n.xdomain=!!this.opts.xd;const r=this.xhr=new qB(n);try{r.open(this.method,this.uri,!0);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=Cm.requestsCount++,Cm.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=b5e,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete Cm.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};ic.requestsCount=0;ic.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",EA);else if(typeof addEventListener=="function"){const e="onpagehide"in ai?"pagehide":"unload";addEventListener(e,EA,!1)}}function EA(){for(let e in ic.requests)ic.requests.hasOwnProperty(e)&&ic.requests[e].abort()}const Q3=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),$g=ai.WebSocket||ai.MozWebSocket,PA=!0,w5e="arraybuffer",kA=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class x5e extends X3{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=kA?{}:zB(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=PA&&!kA?n?new $g(t,n):new $g(t):new $g(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType||w5e,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;K3(r,this.supportsBinary,o=>{const s={};try{PA&&this.ws.send(o)}catch{}i&&Q3(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=GB()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!$g}}function C5e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class T5e extends X3{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(a5e(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;t5e(r,o=>{C5e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&Q3(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const E5e={websocket:x5e,webtransport:T5e,polling:_5e},P5e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,k5e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function wx(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=P5e.exec(e||""),o={},s=14;for(;s--;)o[k5e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=A5e(o,o.path),o.queryKey=O5e(o,o.query),o}function A5e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function O5e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let WB=class mu extends sn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=wx(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=wx(n.host).host),pb(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=g5e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=VB,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new E5e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&mu.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;mu.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;mu.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",mu.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=f5e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){mu.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};WB.protocol=VB;function R5e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=wx(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const I5e=typeof ArrayBuffer=="function",M5e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,KB=Object.prototype.toString,N5e=typeof Blob=="function"||typeof Blob<"u"&&KB.call(Blob)==="[object BlobConstructor]",D5e=typeof File=="function"||typeof File<"u"&&KB.call(File)==="[object FileConstructor]";function Z3(e){return I5e&&(e instanceof ArrayBuffer||M5e(e))||N5e&&e instanceof Blob||D5e&&e instanceof File}function Tm(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(Tm(e[n]))return!0;return!1}if(Z3(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Tm(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&Tm(e[n]))return!0;return!1}function L5e(e){const t=[],n=e.data,r=e;return r.data=xx(n,t),r.attachments=t.length,{packet:r,buffers:t}}function xx(e,t){if(!e)return e;if(Z3(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=xx(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=xx(e[r],t));return n}return e}function $5e(e,t){return e.data=Cx(e.data,t),delete e.attachments,e}function Cx(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=Cx(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=Cx(e[n],t));return e}const F5e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],B5e=5;var He;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(He||(He={}));class j5e{constructor(t){this.replacer=t}encode(t){return(t.type===He.EVENT||t.type===He.ACK)&&Tm(t)?this.encodeAsBinary({type:t.type===He.EVENT?He.BINARY_EVENT:He.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===He.BINARY_EVENT||t.type===He.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=L5e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function AA(e){return Object.prototype.toString.call(e)==="[object Object]"}class J3 extends sn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===He.BINARY_EVENT;r||n.type===He.BINARY_ACK?(n.type=r?He.EVENT:He.ACK,this.reconstructor=new V5e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(Z3(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(He[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===He.BINARY_EVENT||r.type===He.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(J3.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case He.CONNECT:return AA(n);case He.DISCONNECT:return n===void 0;case He.CONNECT_ERROR:return typeof n=="string"||AA(n);case He.EVENT:case He.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&F5e.indexOf(n[0])===-1);case He.ACK:case He.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class V5e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=$5e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const z5e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:J3,Encoder:j5e,get PacketType(){return He},protocol:B5e},Symbol.toStringTag,{value:"Module"}));function Pi(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const U5e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class YB extends sn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Pi(t,"open",this.onopen.bind(this)),Pi(t,"packet",this.onpacket.bind(this)),Pi(t,"error",this.onerror.bind(this)),Pi(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(U5e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:He.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:He.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case He.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case He.EVENT:case He.BINARY_EVENT:this.onevent(t);break;case He.ACK:case He.BINARY_ACK:this.onack(t);break;case He.DISCONNECT:this.ondisconnect();break;case He.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:He.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:He.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function td(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}td.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};td.prototype.reset=function(){this.attempts=0};td.prototype.setMin=function(e){this.ms=e};td.prototype.setMax=function(e){this.max=e};td.prototype.setJitter=function(e){this.jitter=e};class Tx extends sn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,pb(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new td({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||z5e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new WB(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=Pi(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=Pi(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Pi(t,"ping",this.onping.bind(this)),Pi(t,"data",this.ondata.bind(this)),Pi(t,"error",this.onerror.bind(this)),Pi(t,"close",this.onclose.bind(this)),Pi(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){Q3(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new YB(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ld={};function Em(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=R5e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=Ld[i]&&o in Ld[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new Tx(r,t):(Ld[i]||(Ld[i]=new Tx(r,t)),l=Ld[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Em,{Manager:Tx,Socket:YB,io:Em,connect:Em});var G5e=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,H5e=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian 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t={x:0,y:0},n=rj(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const M3e={x:.2,y:.2};function N3e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=M3e);const{isTop:u,isBottom:c,isLeft:d,isRight:f}=ij(e),h={x:0,y:0},p={x:0,y:0},m={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+m.height?(h.y=xn.Backward,p.y=r*Math.abs((t.top+m.height-o)/m.height)):!c&&l>=t.bottom-m.height&&(h.y=xn.Forward,p.y=r*Math.abs((t.bottom-m.height-l)/m.height)),!f&&a>=t.right-m.width?(h.x=xn.Forward,p.x=r*Math.abs((t.right-m.width-a)/m.width)):!d&&s<=t.left+m.width&&(h.x=xn.Backward,p.x=r*Math.abs((t.left+m.width-s)/m.width)),{direction:h,speed:p}}function D3e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function oj(e){return e.reduce((t,n)=>oc(t,Ex(n)),Gi)}function L3e(e){return e.reduce((t,n)=>t+tj(n),0)}function $3e(e){return e.reduce((t,n)=>t+nj(n),0)}function sj(e,t){if(t===void 0&&(t=Rp),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);ej(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const F3e=[["x",["left","right"],L3e],["y",["top","bottom"],$3e]];class i4{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=r4(n),i=oj(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of F3e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),c=i[o]-u;return this.rect[l]+c},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class mf{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function B3e(e){const{EventTarget:t}=vr(e);return e instanceof t?e:rd(e)}function D_(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var ii;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(ii||(ii={}));function LA(e){e.preventDefault()}function j3e(e){e.stopPropagation()}var gt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(gt||(gt={}));const aj={start:[gt.Space,gt.Enter],cancel:[gt.Esc],end:[gt.Space,gt.Enter]},V3e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case gt.Right:return{...n,x:n.x+25};case gt.Left:return{...n,x:n.x-25};case gt.Down:return{...n,y:n.y+25};case gt.Up:return{...n,y:n.y-25}}};class lj{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new mf(rd(n)),this.windowListeners=new mf(vr(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(ii.Resize,this.handleCancel),this.windowListeners.add(ii.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(ii.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&sj(r),n(Gi)}handleKeyDown(t){if(n4(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=aj,coordinateGetter:s=V3e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:Gi;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=g0(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const S=t.code,{isTop:v,isRight:y,isLeft:g,isBottom:b,maxScroll:_,minScroll:w}=ij(m),x=D3e(m),C={x:Math.min(S===gt.Right?x.right-x.width/2:x.right,Math.max(S===gt.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(S===gt.Down?x.bottom-x.height/2:x.bottom,Math.max(S===gt.Down?x.top:x.top+x.height/2,d.y))},k=S===gt.Right&&!y||S===gt.Left&&!g,P=S===gt.Down&&!b||S===gt.Up&&!v;if(k&&C.x!==d.x){const A=m.scrollLeft+f.x,$=S===gt.Right&&A<=_.x||S===gt.Left&&A>=w.x;if($&&!f.y){m.scrollTo({left:A,behavior:a});return}$?h.x=m.scrollLeft-A:h.x=S===gt.Right?m.scrollLeft-_.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(P&&C.y!==d.y){const A=m.scrollTop+f.y,$=S===gt.Down&&A<=_.y||S===gt.Up&&A>=w.y;if($&&!f.x){m.scrollTo({top:A,behavior:a});return}$?h.y=m.scrollTop-A:h.y=S===gt.Down?m.scrollTop-_.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,oc(g0(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}lj.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=aj,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function $A(e){return!!(e&&"distance"in e)}function FA(e){return!!(e&&"delay"in e)}class o4{constructor(t,n,r){var i;r===void 0&&(r=B3e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=rd(s),this.documentListeners=new mf(this.document),this.listeners=new mf(r),this.windowListeners=new mf(vr(s)),this.initialCoordinates=(i=Nh(o))!=null?i:Gi,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(ii.Resize,this.handleCancel),this.windowListeners.add(ii.DragStart,LA),this.windowListeners.add(ii.VisibilityChange,this.handleCancel),this.windowListeners.add(ii.ContextMenu,LA),this.documentListeners.add(ii.Keydown,this.handleKeydown),n){if($A(n))return;if(FA(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(ii.Click,j3e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(ii.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Nh(t))!=null?n:Gi,u=g0(i,l);if(!r&&a){if(FA(a))return D_(u,a.tolerance)?this.handleCancel():void 0;if($A(a))return a.tolerance!=null&&D_(u,a.tolerance)?this.handleCancel():D_(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===gt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const z3e={move:{name:"pointermove"},end:{name:"pointerup"}};class uj extends o4{constructor(t){const{event:n}=t,r=rd(n.target);super(t,z3e,r)}}uj.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const U3e={move:{name:"mousemove"},end:{name:"mouseup"}};var Px;(function(e){e[e.RightClick=2]="RightClick"})(Px||(Px={}));class cj extends o4{constructor(t){super(t,U3e,rd(t.event.target))}}cj.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===Px.RightClick?!1:(r==null||r({event:n}),!0)}}];const L_={move:{name:"touchmove"},end:{name:"touchend"}};class dj extends o4{constructor(t){super(t,L_)}static setup(){return window.addEventListener(L_.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(L_.move.name,t)};function t(){}}}dj.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var yf;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(yf||(yf={}));var y0;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(y0||(y0={}));function G3e(e){let{acceleration:t,activator:n=yf.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=y0.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=q3e({delta:d,disabled:!o}),[p,m]=e3e(),S=E.useRef({x:0,y:0}),v=E.useRef({x:0,y:0}),y=E.useMemo(()=>{switch(n){case yf.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case yf.DraggableRect:return i}},[n,i,l]),g=E.useRef(null),b=E.useCallback(()=>{const w=g.current;if(!w)return;const x=S.current.x*v.current.x,C=S.current.y*v.current.y;w.scrollBy(x,C)},[]),_=E.useMemo(()=>a===y0.TreeOrder?[...u].reverse():u,[a,u]);E.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of _){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:k,speed:P}=N3e(w,C,y,t,f);for(const A of["x","y"])h[A][k[A]]||(P[A]=0,k[A]=0);if(P.x>0||P.y>0){m(),g.current=w,p(b,s),S.current=P,v.current=k;return}}S.current={x:0,y:0},v.current={x:0,y:0},m()},[t,b,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,_,c,JSON.stringify(f)])}const H3e={x:{[xn.Backward]:!1,[xn.Forward]:!1},y:{[xn.Backward]:!1,[xn.Forward]:!1}};function q3e(e){let{delta:t,disabled:n}=e;const r=p0(t);return Op(i=>{if(n||!r||!i)return H3e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[xn.Backward]:i.x[xn.Backward]||o.x===-1,[xn.Forward]:i.x[xn.Forward]||o.x===1},y:{[xn.Backward]:i.y[xn.Backward]||o.y===-1,[xn.Forward]:i.y[xn.Forward]||o.y===1}}},[n,t,r])}function W3e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Op(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function K3e(e,t){return E.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Lh;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Lh||(Lh={}));var kx;(function(e){e.Optimized="optimized"})(kx||(kx={}));const BA=new Map;function Y3e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=E.useState(null),{frequency:a,measure:l,strategy:u}=i,c=E.useRef(e),d=S(),f=Mh(d),h=E.useCallback(function(v){v===void 0&&(v=[]),!f.current&&s(y=>y===null?v:y.concat(v.filter(g=>!y.includes(g))))},[f]),p=E.useRef(null),m=Op(v=>{if(d&&!n)return BA;if(!v||v===BA||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const b=g.node.current,_=b?new i4(l(b),b):null;g.rect.current=_,_&&y.set(g.id,_)}return y}return v},[e,o,n,d,l]);return E.useEffect(()=>{c.current=e},[e]),E.useEffect(()=>{d||h()},[n,d]),E.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),E.useEffect(()=>{d||typeof 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e.dragData.payloadType==="IMAGE_NAMES"?j.jsxs(z5,{sx:{cursor:"none",userSelect:"none",position:"relative",alignItems:"center",justifyContent:"center",flexDir:"column",...HA},children:[j.jsx(xw,{children:e.dragData.payload.image_names.length}),j.jsx(xw,{size:"sm",children:"Images"})]}):null}},$4e=E.memo(L4e);function nke(e){return _4e(e)}function rke(e){return y4e(e)}const ike=(e,t)=>{if(!e||!(t!=null&&t.data.current))return!1;const{actionType:n}=e,{payloadType:r}=t.data.current;if(e.id===t.data.current.id)return!1;switch(n){case"SET_CURRENT_IMAGE":return r==="IMAGE_DTO";case"SET_INITIAL_IMAGE":return r==="IMAGE_DTO";case"SET_CONTROLNET_IMAGE":return r==="IMAGE_DTO";case"SET_CANVAS_INITIAL_IMAGE":return r==="IMAGE_DTO";case"SET_NODES_IMAGE":return r==="IMAGE_DTO";case"SET_MULTI_NODES_IMAGE":return r==="IMAGE_DTO"||"IMAGE_NAMES";case"ADD_TO_BATCH":return r==="IMAGE_DTO"||"IMAGE_NAMES";case"MOVE_BOARD":{if(!(r==="IMAGE_DTO"||"IMAGE_NAMES"))return!1;if(r==="IMAGE_DTO"){const{imageDTO:o}=t.data.current.payload,s=o.board_id,a=e.context.boardId;return!(s===a)&&(s?!0:a)}return r!=="IMAGE_NAMES"}default:return!1}};function F4e(e){return j.jsx(p4e,{...e})}const B4e=e=>{const[t,n]=E.useState(null),r=qc(),i=E.useCallback(u=>{console.log("dragStart",u.active.data.current);const c=u.active.data.current;c&&n(c)},[]),o=E.useCallback(u=>{var d;console.log("dragEnd",u.active.data.current),u.active.data.current;const c=(d=u.over)==null?void 0:d.data.current;!t||!c||(r(DF({overData:c,activeData:t})),n(null))},[t,r]),s=NA(cj,{activationConstraint:{distance:10}}),a=NA(dj,{activationConstraint:{distance:10}}),l=p3e(s,a);return 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as bI,Nv as bJ,W4e as bK,IQ as bL,CTe as bM,TTe as bN,qTe as bO,WTe as bP,ATe as bQ,JTe as bR,PTe as bS,BTe as bT,ITe as bU,mbe as bV,kTe as bW,KTe as bX,ETe as bY,iEe as bZ,OTe as b_,Au as ba,o6e as bb,KL as bc,r6e as bd,i6e as be,oue as bf,t6e as bg,lue as bh,qc as bi,z6e as bj,SN as bk,Jxe as bl,nke as bm,ike as bn,_6e as bo,w6e as bp,p6e as bq,e6e as br,Fw as bs,v6e as bt,n6e as bu,B5 as bv,$Ce as bw,CEe as bx,KZ as by,u5 as bz,Uq as c,ye as c$,RTe as c0,VTe as c1,DTe as c2,UTe as c3,gbe as c4,me as c5,V4e as c6,b6e as c7,Tpe as c8,T6e as c9,REe as cA,P8e as cB,g6e as cC,E6e as cD,zL as cE,eL as cF,Vt as cG,Q4e as cH,Z4e as cI,AEe as cJ,C8e as cK,eke as cL,mCe as cM,x8e as cN,k8e as cO,Tce as cP,bEe as cQ,kEe as cR,E8e as cS,Cce as cT,MEe as cU,v8e as cV,bD as cW,gEe as cX,d8e as cY,hCe as cZ,yEe as c_,tL as ca,sPe as cb,xce as cc,Bw as cd,rke as ce,rTe as cf,h6e as cg,l6e as ch,u6e as ci,ra as cj,rbe as ck,m6e as cl,y6e as cm,s6e as cn,Cse as co,Uy as cp,D8e as cq,wEe as cr,Xo as cs,Ppe as ct,g8e as cu,G6e as cv,WL as cw,YL as cx,R8e as cy,nr as cz,PQ as d,GTe as d$,lr as d0,L8e as d1,V6e as d2,F6e as d3,B6e as d4,j6e as d5,q6e as d6,W6e as d7,QL as d8,B8e as d9,k6e as dA,j8e as dB,so as dC,LTe as dD,_p as dE,pEe as dF,oEe as dG,dEe as dH,HTe as dI,fEe as dJ,hEe as dK,uEe as dL,cEe as dM,lEe as dN,aEe as dO,nEe as dP,eEe as dQ,b8e as dR,Dl as dS,_8e as dT,_w as dU,UN as dV,HN as dW,GN as dX,KN as dY,WN as dZ,wTe as d_,bc as da,H6e as db,c7 as dc,xTe as dd,Se as de,NTe as df,F8e as dg,y8 as dh,I6e as di,f3 as dj,ype as dk,gu as dl,v8 as dm,M6e as dn,N6e as dp,IN as dq,D6e as dr,vpe as ds,L6e as dt,VL as du,A6e as dv,R6e as dw,P6e as dx,$6e as dy,Lxe as dz,KI as e,iPe as e$,zv as e0,K8e as e1,sa as e2,$8e as e3,yce as e4,V8e as e5,SD as e6,xD as e7,io as e8,zTe as e9,xR as eA,u8e as eB,n8e as eC,r8e as eD,i8e as eE,a8e as eF,l8e as eG,Ph as eH,o5 as eI,_F as eJ,c8e as eK,Z6e as eL,tCe as eM,X6e as eN,Q6e as eO,e8e as eP,J6e as eQ,t8e as eR,s8e as eS,Zve as eT,yF as eU,UF as eV,hV as eW,Le as eX,TPe as eY,GPe as eZ,UPe as e_,tEe as ea,J4e as eb,yZ as ec,rEe as ed,X8e as ee,H8e as ef,O8e as eg,G8e as eh,Y8e as ei,A8e as ej,W8e as ek,UQ as el,q8e as em,z8e as en,U8e as eo,aF as ep,vv as eq,Q8e as er,Jy as es,ve as et,Z8e as eu,ox as ev,pZ as ew,MTe as ex,eTe as ey,gR as ez,CI as f,D1e as f$,NPe as f0,qPe as f1,B1e as f2,XEe as f3,SPe as f4,Nd as f5,mPe as f6,QEe as f7,b1 as f8,bPe as f9,FEe as fA,BEe as fB,M8e as fC,N8e as fD,gPe as fE,aPe as fF,PPe as fG,MPe as fH,kPe as fI,rPe as fJ,YEe as fK,jPe as fL,BPe as fM,RPe as fN,APe as fO,OPe as fP,QPe as fQ,$Pe as fR,ZPe as fS,pPe as fT,hPe as fU,qEe as fV,HEe as fW,YPe as fX,oPe as fY,$1e as fZ,N1e as f_,WEe as fa,yPe as fb,KEe as fc,ePe as fd,$Ee as fe,LEe as ff,DEe as fg,HPe as fh,QD as fi,mh as fj,zEe as fk,UEe as fl,GEe as fm,zPe as fn,nPe as fo,tPe as fp,Zfe as fq,VPe as fr,F1e as fs,ZEe as ft,lPe as fu,uPe as fv,zd as fw,EPe as fx,CPe as fy,_Pe as fz,SQ as g,L1e as g0,jEe as g1,mEe as g2,I8e as g3,Sce as g4,sEe as g5,VEe as g6,dPe as g7,XPe as g8,YTe as g9,mTe as gA,XTe as ga,QTe as gb,ZTe as gc,fPe as gd,xEe as ge,EEe as gf,TEe as gg,PEe as gh,NEe as gi,vZ as gj,O1e as gk,f8e as gl,nTe as gm,O7 as gn,fTe as go,$ee as gp,cTe as gq,aTe as gr,dTe as gs,co as gt,lTe as gu,tTe as gv,Gee as gw,Iee as gx,dJ as gy,gTe as gz,MI as h,Jn as i,Uc as j,mv as k,En as l,Jh as m,Qh as n,zi as o,Ta as p,TI as q,ko as r,E as s,xS as t,Ze as u,j as v,Si as w,fi as x,Ae as y,Gn as z};
diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 802c1f222f..315bad4316 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-e2437518.js"></script>
+    <script type="module" crossorigin src="./assets/index-e45bf5a6.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index 59cf87fbda..0640ab9ef0 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -102,8 +102,7 @@
         "openInNewTab": "Open in New Tab",
         "dontAskMeAgain": "Don't ask me again",
         "areYouSure": "Are you sure?",
-        "imagePrompt": "Image Prompt",
-        "clearNodes": "Are you sure you want to clear all nodes?"
+        "imagePrompt": "Image Prompt"
     },
     "gallery": {
         "generations": "Generations",
@@ -615,6 +614,11 @@
         "initialImageNotSetDesc": "Could not load initial image",
         "nodesSaved": "Nodes Saved",
         "nodesLoaded": "Nodes Loaded",
+        "nodesNotValidGraph": "Not a valid InvokeAI Node Graph",
+        "nodesNotValidJSON": "Not a valid JSON",
+        "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.",
+        "nodesUnrecognizedTypes": "Cannot load. Graph has unrecognized types",
+        "nodesBrokenConnections": "Cannot load. Some connections are broken.",
         "nodesLoadedFailed": "Failed To Load Nodes",
         "nodesCleared": "Nodes Cleared"
     },
@@ -700,9 +704,10 @@
     },
     "nodes": {
         "reloadSchema": "Reload Schema",
-        "saveNodes": "Save Nodes",
-        "loadNodes": "Load Nodes",
-        "clearNodes": "Clear Nodes",
+        "saveGraph": "Save Graph",
+        "loadGraph": "Load Graph (saved from Node Editor) (Do not copy-paste metadata)",
+        "clearGraph": "Clear Graph",
+        "clearGraphDesc": "Are you sure you want to clear all nodes?",
         "zoomInNodes": "Zoom In",
         "zoomOutNodes": "Zoom Out",
         "fitViewportNodes": "Fit View",
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 05d1f78eea..56952f2766 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1345,7 +1345,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1936,10 +1936,10 @@ export type components = {
       image2?: components["schemas"]["ImageField"];
     };
     /**
-     * ImageNSFWBlur 
+     * ImageNSFWBlurInvocation 
      * @description Add blur to NSFW-flagged images
      */
-    ImageNSFWBlur: {
+    ImageNSFWBlurInvocation: {
       /**
        * Id 
        * @description The id of this node. Must be unique among all nodes.
@@ -1959,15 +1959,25 @@ export type components = {
       type?: "img_nsfw";
       /**
        * Image 
-       * @description The image to pass to the NSFW checker
+       * @description The image to check
        */
       image?: components["schemas"]["ImageField"];
       /**
-       * Active 
-       * @description Whether the NSFW checker is active 
-       * @default true
+       * Enabled 
+       * @description Whether the NSFW checker is enabled 
+       * @default false
        */
-      active?: boolean;
+      enabled?: boolean;
+      /**
+       * Metadata 
+       * @description Optional core metadata to be written to the image
+       */
+      metadata?: components["schemas"]["CoreMetadata"];
+      /**
+       * Default Enabled 
+       * @default false
+       */
+      DEFAULT_ENABLED?: boolean;
     };
     /**
      * ImageOutput 
@@ -2249,6 +2259,56 @@ export type components = {
        */
       thumbnail_url: string;
     };
+    /**
+     * ImageWatermarkInvocation 
+     * @description Add an invisible watermark to an image
+     */
+    ImageWatermarkInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default img_watermark 
+       * @enum {string}
+       */
+      type?: "img_watermark";
+      /**
+       * Image 
+       * @description The image to check
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Text 
+       * @description Watermark text 
+       * @default InvokeAI
+       */
+      text?: string;
+      /**
+       * Enabled 
+       * @description Whether the invisible watermark is enabled 
+       * @default true
+       */
+      enabled?: boolean;
+      /**
+       * Metadata 
+       * @description Optional core metadata to be written to the image
+       */
+      metadata?: components["schemas"]["CoreMetadata"];
+      /**
+       * Default Enabled 
+       * @default true
+       */
+      DEFAULT_ENABLED?: boolean;
+    };
     /**
      * InfillColorInvocation 
      * @description Infills transparent areas of an image with a solid color
@@ -2678,7 +2738,7 @@ export type components = {
       vae?: components["schemas"]["VaeField"];
       /**
        * Tiled 
-       * @description Decode latents by overlaping tiles(less memory consumption) 
+       * @description Decode latents by overlapping tiles(less memory consumption) 
        * @default false
        */
       tiled?: boolean;
@@ -5469,6 +5529,12 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -5481,12 +5547,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5597,7 +5657,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
@@ -5634,7 +5694,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlur"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {

From 5beb11f4e24570e3e095c5b9d1bb55cdbf44d72b Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 24 Jul 2023 09:23:51 -0400
Subject: [PATCH 52/58] tweaks in response to psychedelicious review of PR

---
 docs/features/OTHER.md                        |  47 +++------
 .../web => app/assets/images}/caution.png     | Bin
 .../controlnet_image_processors.py            |   2 +-
 invokeai/app/invocations/image.py             |  21 ++--
 invokeai/app/invocations/image_defs.py        |  54 ----------
 invokeai/app/models/image.py                  |  98 +++++++++++++-----
 .../services/board_image_record_storage.py    |   2 -
 .../buildLinearTextToImageGraph.ts            |   2 +-
 8 files changed, 96 insertions(+), 130 deletions(-)
 rename invokeai/{assets/web => app/assets/images}/caution.png (100%)
 delete mode 100644 invokeai/app/invocations/image_defs.py

diff --git a/docs/features/OTHER.md b/docs/features/OTHER.md
index 2401f644ba..00bfd05e14 100644
--- a/docs/features/OTHER.md
+++ b/docs/features/OTHER.md
@@ -16,21 +16,24 @@ Output Example:
 
 ---
 
-## **Seamless Tiling**
+## **Invisible Watermark**
 
-The seamless tiling mode causes generated images to seamlessly tile
-with itself creating repetitive wallpaper-like patterns. To use it,
-activate the Seamless Tiling option in the Web GUI and then select
-whether to tile on the X (horizontal) and/or Y (vertical) axes. Tiling
-will then be active for the next set of generations.
+In keeping with the principles for responsible AI generation, and to
+help AI researchers avoid synthetic images contaminating their
+training sets, InvokeAI adds an invisible watermark to each of the
+final images it generates. The watermark consists of the text
+"InvokeAI" and can be viewed using the
+[invisible-watermarks](https://github.com/ShieldMnt/invisible-watermark)
+tool.
 
-A nice prompt to test seamless tiling with is:
+Watermarking is controlled using the `invisible-watermark` setting in
+`invokeai.yaml`. To turn it off, add the following line under the `Features`
+category.
 
 ```
-pond garden with lotus by claude monet"
+invisible_watermark: false
 ```
 
----
 
 ## **Weighted Prompts**
 
@@ -39,34 +42,10 @@ priority to them, by adding `:<percent>` to the end of the section you wish to u
 example consider this prompt:
 
 ```bash
-tabby cat:0.25 white duck:0.75 hybrid
+(tabby cat):0.25 (white duck):0.75 hybrid
 ```
 
 This will tell the sampler to invest 25% of its effort on the tabby cat aspect of the image and 75%
 on the white duck aspect (surprisingly, this example actually works). The prompt weights can use any
 combination of integers and floating point numbers, and they do not need to add up to 1.
 
-## **Thresholding and Perlin Noise Initialization Options**
-
-Under the Noise section of the Web UI, you will find two options named
-Perlin Noise and Noise Threshold. [Perlin
-noise](https://en.wikipedia.org/wiki/Perlin_noise) is a type of
-structured noise used to simulate terrain and other natural
-textures. The slider controls the percentage of perlin noise that will
-be mixed into the image at the beginning of generation. Adding a little
-perlin noise to a generation will alter the image substantially.
-
-The noise threshold limits the range of the latent values during
-sampling and helps combat the oversharpening seem with higher CFG
-scale values.
-
-For better intuition into what these options do in practice:
-
-![here is a graphic demonstrating them both](../assets/truncation_comparison.jpg)
-
-In generating this graphic, perlin noise at initialization was
-programmatically varied going across on the diagram by values 0.0,
-0.1, 0.2, 0.4, 0.5, 0.6, 0.8, 0.9, 1.0; and the threshold was varied
-going down from 0, 1, 2, 3, 4, 5, 10, 20, 100. The other options are
-fixed using the prompt "a portrait of a beautiful young lady" a CFG of
-20, 100 steps, and a seed of 1950357039.
diff --git a/invokeai/assets/web/caution.png b/invokeai/app/assets/images/caution.png
similarity index 100%
rename from invokeai/assets/web/caution.png
rename to invokeai/app/assets/images/caution.png
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index b04c45ae20..2087594b7b 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -20,7 +20,7 @@ from ...backend.model_management import BaseModelType, ModelType
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import (BaseInvocation, BaseInvocationOutput,
                              InvocationConfig, InvocationContext)
-from .image_defs import ImageOutput, PILInvocationConfig
+from ..models.image import ImageOutput, PILInvocationConfig
 
 CONTROLNET_DEFAULT_MODELS = [
     ###########################################
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index cf82148483..50f8a4b627 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -4,24 +4,21 @@ from typing import Literal, Optional
 
 import numpy
 from PIL import Image, ImageFilter, ImageOps, ImageChops
-from pydantic import BaseModel, Field
+from pydantic import Field
 from pathlib import Path
 from typing import Union
 from invokeai.app.invocations.metadata import CoreMetadata
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from transformers import AutoFeatureExtractor
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from ..models.image import (
+    ImageCategory, ImageField, ResourceOrigin,
+    PILInvocationConfig, ImageOutput, MaskOutput,
+)    
 from .baseinvocation import (
     BaseInvocation,
-    BaseInvocationOutput,
     InvocationContext,
     InvocationConfig,
 )
-from .image_defs import (
-    PILInvocationConfig,
-    ImageOutput,
-    MaskOutput,
-    )
 from ..services.config import InvokeAIAppConfig
 from invokeai.backend.util.devices import choose_torch_device
 from invokeai.backend import SilenceWarnings
@@ -644,7 +641,7 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
         device = choose_torch_device()
         
         if self.enabled:
-            logger.info("Running NSFW checker")
+            logger.debug("Running NSFW checker")
             safety_checker = StableDiffusionSafetyChecker.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
             feature_extractor = AutoFeatureExtractor.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
 
@@ -681,8 +678,8 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
         )
     
     def _get_caution_img(self)->Image:
-        import invokeai.assets.web as web_assets
-        caution = Image.open(Path(web_assets.__path__[0]) / 'caution.png')
+        import invokeai.app.assets.images as image_assets
+        caution = Image.open(Path(image_assets.__path__[0]) / 'caution.png')
         return caution.resize((caution.width // 2, caution.height //2))
 
 class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
@@ -716,7 +713,7 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
         logger = context.services.logger
         image = context.services.images.get_pil_image(self.image.image_name)
         if self.enabled:
-            logger.info("Running invisible watermarker")
+            logger.debug("Running invisible watermarker")
             bgr = cv2.cvtColor(numpy.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
             wm = self.text
             encoder = WatermarkEncoder()
diff --git a/invokeai/app/invocations/image_defs.py b/invokeai/app/invocations/image_defs.py
deleted file mode 100644
index 8bab09debf..0000000000
--- a/invokeai/app/invocations/image_defs.py
+++ /dev/null
@@ -1,54 +0,0 @@
-# Copyright 2023 Lincoln D. Stein and the InvokeAI Team
-""" Common classes used by .image and .controlnet; avoids circular import issues """
-
-from pydantic import BaseModel, Field
-from typing import Literal
-from ..models.image import ImageField
-from .baseinvocation import (
-    BaseInvocationOutput,
-    InvocationConfig,
-)
-
-class PILInvocationConfig(BaseModel):
-    """Helper class to provide all PIL invocations with additional config"""
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["PIL", "image"],
-            },
-        }
-
-class ImageOutput(BaseInvocationOutput):
-    """Base class for invocations that output an image"""
-
-    # fmt: off
-    type: Literal["image_output"] = "image_output"
-    image:      ImageField = Field(default=None, description="The output image")
-    width:             int = Field(description="The width of the image in pixels")
-    height:            int = Field(description="The height of the image in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {"required": ["type", "image", "width", "height"]}
-
-
-class MaskOutput(BaseInvocationOutput):
-    """Base class for invocations that output a mask"""
-
-    # fmt: off
-    type: Literal["mask"] = "mask"
-    mask:      ImageField = Field(default=None, description="The output mask")
-    width:            int = Field(description="The width of the mask in pixels")
-    height:           int = Field(description="The height of the mask in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "mask",
-            ]
-        }
-
-
diff --git a/invokeai/app/models/image.py b/invokeai/app/models/image.py
index 988a3e1447..1183cabc54 100644
--- a/invokeai/app/models/image.py
+++ b/invokeai/app/models/image.py
@@ -1,9 +1,80 @@
 from enum import Enum
-from typing import Optional, Tuple
+from typing import Optional, Tuple, Literal
 from pydantic import BaseModel, Field
 
 from invokeai.app.util.metaenum import MetaEnum
+from ..invocations.baseinvocation import (
+    BaseInvocationOutput,
+    InvocationConfig,
+)
 
+class ImageField(BaseModel):
+    """An image field used for passing image objects between invocations"""
+
+    image_name: Optional[str] = Field(default=None, description="The name of the image")
+
+    class Config:
+        schema_extra = {"required": ["image_name"]}
+
+
+class ColorField(BaseModel):
+    r: int = Field(ge=0, le=255, description="The red component")
+    g: int = Field(ge=0, le=255, description="The green component")
+    b: int = Field(ge=0, le=255, description="The blue component")
+    a: int = Field(ge=0, le=255, description="The alpha component")
+
+    def tuple(self) -> Tuple[int, int, int, int]:
+        return (self.r, self.g, self.b, self.a)
+
+
+class ProgressImage(BaseModel):
+    """The progress image sent intermittently during processing"""
+
+    width: int = Field(description="The effective width of the image in pixels")
+    height: int = Field(description="The effective height of the image in pixels")
+    dataURL: str = Field(description="The image data as a b64 data URL")
+
+class PILInvocationConfig(BaseModel):
+    """Helper class to provide all PIL invocations with additional config"""
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {
+                "tags": ["PIL", "image"],
+            },
+        }
+
+class ImageOutput(BaseInvocationOutput):
+    """Base class for invocations that output an image"""
+
+    # fmt: off
+    type: Literal["image_output"] = "image_output"
+    image:      ImageField = Field(default=None, description="The output image")
+    width:             int = Field(description="The width of the image in pixels")
+    height:            int = Field(description="The height of the image in pixels")
+    # fmt: on
+
+    class Config:
+        schema_extra = {"required": ["type", "image", "width", "height"]}
+
+
+class MaskOutput(BaseInvocationOutput):
+    """Base class for invocations that output a mask"""
+
+    # fmt: off
+    type: Literal["mask"] = "mask"
+    mask:      ImageField = Field(default=None, description="The output mask")
+    width:            int = Field(description="The width of the mask in pixels")
+    height:           int = Field(description="The height of the mask in pixels")
+    # fmt: on
+
+    class Config:
+        schema_extra = {
+            "required": [
+                "type",
+                "mask",
+            ]
+        }
 
 class ResourceOrigin(str, Enum, metaclass=MetaEnum):
     """The origin of a resource (eg image).
@@ -63,28 +134,3 @@ class InvalidImageCategoryException(ValueError):
         super().__init__(message)
 
 
-class ImageField(BaseModel):
-    """An image field used for passing image objects between invocations"""
-
-    image_name: Optional[str] = Field(default=None, description="The name of the image")
-
-    class Config:
-        schema_extra = {"required": ["image_name"]}
-
-
-class ColorField(BaseModel):
-    r: int = Field(ge=0, le=255, description="The red component")
-    g: int = Field(ge=0, le=255, description="The green component")
-    b: int = Field(ge=0, le=255, description="The blue component")
-    a: int = Field(ge=0, le=255, description="The alpha component")
-
-    def tuple(self) -> Tuple[int, int, int, int]:
-        return (self.r, self.g, self.b, self.a)
-
-
-class ProgressImage(BaseModel):
-    """The progress image sent intermittently during processing"""
-
-    width: int = Field(description="The effective width of the image in pixels")
-    height: int = Field(description="The effective height of the image in pixels")
-    dataURL: str = Field(description="The image data as a b64 data URL")
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py
index 693b078589..491972bd32 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_record_storage.py
@@ -135,7 +135,6 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
         board_id: str,
         image_name: str,
     ) -> None:
-        print(f'DEBUG: board_id={board_id}, image_name={image_name}')
         try:
             self._lock.acquire()
             self._cursor.execute(
@@ -147,7 +146,6 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
                 (board_id, image_name, board_id),
             )
             self._conn.commit()
-            print('got here')
         except sqlite3.Error as e:
             self._conn.rollback()
             raise e
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 754edae873..cfcb1a98c7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -49,7 +49,7 @@ export const buildLinearTextToImageGraph = (
   }
 
   /**
-v   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
    * ids.
    *

From 85ad5ef2041df34b0b830b4512a301afb36bd030 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 24 Jul 2023 22:02:57 -0400
Subject: [PATCH 53/58] refactored code; added watermark and nsfw facilities to
 app config route

---
 invokeai/app/api/routers/app_info.py          | 32 +++++++-
 invokeai/app/invocations/image.py             | 62 +++------------
 invokeai/backend/__init__.py                  |  1 -
 invokeai/backend/generator/base.py            |  8 --
 .../backend/image_util/invisible_watermark.py | 34 ++++++++
 invokeai/backend/image_util/safety_checker.py | 63 +++++++++++++++
 invokeai/backend/safety_checker.py            | 77 -------------------
 7 files changed, 139 insertions(+), 138 deletions(-)
 create mode 100644 invokeai/backend/image_util/invisible_watermark.py
 create mode 100644 invokeai/backend/image_util/safety_checker.py
 delete mode 100644 invokeai/backend/safety_checker.py

diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py
index e1bfeda4a1..ff8198103b 100644
--- a/invokeai/app/api/routers/app_info.py
+++ b/invokeai/app/api/routers/app_info.py
@@ -1,9 +1,15 @@
+import typing
 from enum import Enum
 from fastapi import Body
 from fastapi.routing import APIRouter
+from pathlib import Path
 from pydantic import BaseModel, Field
 
 from invokeai.backend.image_util.patchmatch import PatchMatch
+from invokeai.backend.image_util.safety_checker import SafetyChecker
+from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
+from invokeai.app.invocations.upscale import ESRGAN_MODELS
+
 from invokeai.version import __version__
 
 from ..dependencies import ApiDependencies
@@ -30,6 +36,10 @@ class AppConfig(BaseModel):
     """App Config Response"""
 
     infill_methods: list[str] = Field(description="List of available infill methods")
+    upscaling_methods: list[str] = Field(description="List of upscaling methods")
+    upscaling_models: list[str] = Field(description="List of postprocessing methods")
+    nsfw_methods: list[str] = Field(description="List of NSFW checking methods")
+    watermarking_methods: list[str] = Field(description="List of invisible watermark methods")
 
 
 @app_router.get(
@@ -46,7 +56,27 @@ async def get_config() -> AppConfig:
     infill_methods = ['tile']
     if PatchMatch.patchmatch_available():
         infill_methods.append('patchmatch')
-    return AppConfig(infill_methods=infill_methods)
+        
+    upscaling_methods = ['esrgan']
+    upscaling_models = []
+    for model in typing.get_args(ESRGAN_MODELS):
+        upscaling_models.append(str(Path(model).stem))
+
+    nsfw_methods = []
+    if SafetyChecker.safety_checker_available():
+        nsfw_methods.append('nsfw_checker')
+
+    watermarking_methods = []
+    if InvisibleWatermark.invisible_watermark_available():
+        watermarking_methods.append('invisible_watermark')
+        
+    return AppConfig(
+        infill_methods=infill_methods,
+        upscaling_methods=upscaling_methods,
+        upscaling_models=upscaling_models,
+        nsfw_methods=nsfw_methods,
+        watermarking_methods=watermarking_methods,
+    )
 
 @app_router.get(
     "/logging",
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 50f8a4b627..26ee9e391d 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -8,8 +8,6 @@ from pydantic import Field
 from pathlib import Path
 from typing import Union
 from invokeai.app.invocations.metadata import CoreMetadata
-from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
-from transformers import AutoFeatureExtractor
 from ..models.image import (
     ImageCategory, ImageField, ResourceOrigin,
     PILInvocationConfig, ImageOutput, MaskOutput,
@@ -19,9 +17,8 @@ from .baseinvocation import (
     InvocationContext,
     InvocationConfig,
 )
-from ..services.config import InvokeAIAppConfig
-from invokeai.backend.util.devices import choose_torch_device
-from invokeai.backend import SilenceWarnings
+from invokeai.backend.image_util.safety_checker import SafetyChecker
+from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 
 class LoadImageInvocation(BaseInvocation):
     """Load an image and provide it as output."""
@@ -614,14 +611,12 @@ class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
 
 class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
     """Add blur to NSFW-flagged images"""
-    DEFAULT_ENABLED = InvokeAIAppConfig.get_config().nsfw_checker
 
     # fmt: off
     type: Literal["img_nsfw"] = "img_nsfw"
 
     # Inputs
     image: Optional[ImageField]  = Field(default=None, description="The image to check")
-    enabled: bool = Field(default=DEFAULT_ENABLED, description="Whether the NSFW checker is enabled")
     metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
     # fmt: on
 
@@ -636,30 +631,14 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
         
-        config = context.services.configuration
         logger = context.services.logger
-        device = choose_torch_device()
-        
-        if self.enabled:
-            logger.debug("Running NSFW checker")
-            safety_checker = StableDiffusionSafetyChecker.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
-            feature_extractor = AutoFeatureExtractor.from_pretrained(config.models_path / 'core/convert/stable-diffusion-safety-checker')
-
-            features = feature_extractor([image], return_tensors="pt")
-            features.to(device)
-            safety_checker.to(device)
-
-            x_image = numpy.array(image).astype(numpy.float32) / 255.0
-            x_image = x_image[None].transpose(0, 3, 1, 2)
-            with SilenceWarnings():
-                checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=features.pixel_values)
-
-            logger.info(f"NSFW scan result: {has_nsfw_concept[0]}")
-            if has_nsfw_concept[0]:
-                blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32))
-                caution = self._get_caution_img()
-                blurry_image.paste(caution,(0,0),caution)
-                image = blurry_image
+        logger.debug("Running NSFW checker")
+        if SafetyChecker.has_nsfw_concept(image):
+            logger.info("A potentially NSFW image has been detected. Image will be blurred.")
+            blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32))
+            caution = self._get_caution_img()
+            blurry_image.paste(caution,(0,0),caution)
+            image = blurry_image
 
         image_dto = context.services.images.create(
             image=image,
@@ -685,16 +664,12 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
 class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
     """ Add an invisible watermark to an image """
 
-    # to avoid circular import
-    DEFAULT_ENABLED = InvokeAIAppConfig.get_config().invisible_watermark
-    
     # fmt: off
     type: Literal["img_watermark"] = "img_watermark"
 
     # Inputs
     image: Optional[ImageField]  = Field(default=None, description="The image to check")
     text: str = Field(default='InvokeAI', description="Watermark text")
-    enabled: bool = Field(default=DEFAULT_ENABLED, description="Whether the invisible watermark is enabled")
     metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
     # fmt: on
 
@@ -707,25 +682,10 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
         }
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        import cv2
-        from imwatermark import WatermarkEncoder
-        
-        logger = context.services.logger
         image = context.services.images.get_pil_image(self.image.image_name)
-        if self.enabled:
-            logger.debug("Running invisible watermarker")
-            bgr = cv2.cvtColor(numpy.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
-            wm = self.text
-            encoder = WatermarkEncoder()
-            encoder.set_watermark('bytes', wm.encode('utf-8'))
-            bgr_encoded = encoder.encode(bgr, 'dwtDct')
-            new_image = Image.fromarray(
-                cv2.cvtColor(bgr_encoded, cv2.COLOR_BGR2RGB)
-            ).convert("RGBA")
-            image = new_image
-        
+        new_image = InvisibleWatermark.add_watermark(image, self.text)
         image_dto = context.services.images.create(
-            image=image,
+            image=new_image,
             image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
diff --git a/invokeai/backend/__init__.py b/invokeai/backend/__init__.py
index cb21f1f9ed..a33b70ceb4 100644
--- a/invokeai/backend/__init__.py
+++ b/invokeai/backend/__init__.py
@@ -12,5 +12,4 @@ from .model_management import (
     ModelManager, ModelCache, BaseModelType,
     ModelType, SubModelType, ModelInfo
     )
-from .safety_checker import SafetyChecker
 from .model_management.models import SilenceWarnings
diff --git a/invokeai/backend/generator/base.py b/invokeai/backend/generator/base.py
index 99a63d56a3..8af8d399d5 100644
--- a/invokeai/backend/generator/base.py
+++ b/invokeai/backend/generator/base.py
@@ -28,7 +28,6 @@ from diffusers.schedulers import SchedulerMixin as Scheduler
 import invokeai.backend.util.logging as logger
 from ..image_util import configure_model_padding
 from ..util.util import rand_perlin_2d
-from ..safety_checker import SafetyChecker
 from ..stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
 from ..stable_diffusion.schedulers import SCHEDULER_MAP
 
@@ -52,7 +51,6 @@ class InvokeAIGeneratorBasicParams:
     v_symmetry_time_pct: Optional[float]=None
     variation_amount: float = 0.0
     with_variations: list=field(default_factory=list)
-    safety_checker: Optional[SafetyChecker]=None
 
 @dataclass
 class InvokeAIGeneratorOutput:
@@ -240,7 +238,6 @@ class Generator:
         self.seed = None
         self.latent_channels = model.unet.config.in_channels
         self.downsampling_factor = downsampling  # BUG: should come from model or config
-        self.safety_checker = None
         self.perlin = 0.0
         self.threshold = 0
         self.variation_amount = 0
@@ -277,12 +274,10 @@ class Generator:
         perlin=0.0,
         h_symmetry_time_pct=None,
         v_symmetry_time_pct=None,
-        safety_checker: SafetyChecker=None,
         free_gpu_mem: bool = False,
         **kwargs,
     ):
         scope = nullcontext
-        self.safety_checker = safety_checker
         self.free_gpu_mem = free_gpu_mem
         attention_maps_images = []
         attention_maps_callback = lambda saver: attention_maps_images.append(
@@ -329,9 +324,6 @@ class Generator:
                 # Pass on the seed in case a layer beneath us needs to generate noise on its own.
                 image = make_image(x_T, seed)
 
-                if self.safety_checker is not None:
-                    image = self.safety_checker.check(image)
-
                 results.append([image, seed, attention_maps_images])
 
                 if image_callback is not None:
diff --git a/invokeai/backend/image_util/invisible_watermark.py b/invokeai/backend/image_util/invisible_watermark.py
new file mode 100644
index 0000000000..0fb72b095d
--- /dev/null
+++ b/invokeai/backend/image_util/invisible_watermark.py
@@ -0,0 +1,34 @@
+"""
+This module defines a singleton object, "invisible_watermark" that
+wraps the invisible watermark model. It respects the global "invisible_watermark"
+configuration variable, that allows the watermarking to be supressed.
+"""
+import numpy as np
+import cv2
+from PIL import Image
+from imwatermark import WatermarkEncoder
+from invokeai.app.services.config import InvokeAIAppConfig
+import invokeai.backend.util.logging as logger
+config = InvokeAIAppConfig.get_config()
+
+class InvisibleWatermark:
+    """
+    Wrapper around InvisibleWatermark module.
+    """
+    
+    @classmethod
+    def invisible_watermark_available(self) -> bool:
+        return config.invisible_watermark
+
+    @classmethod
+    def add_watermark(self, image: Image, watermark_text:str) -> Image:
+        if not self.invisible_watermark_available():
+            return image
+        logger.debug(f'Applying invisible watermark "{watermark_text}"')
+        bgr = cv2.cvtColor(np.array(image.convert("RGB")), cv2.COLOR_RGB2BGR)
+        encoder = WatermarkEncoder()
+        encoder.set_watermark('bytes', watermark_text.encode('utf-8'))
+        bgr_encoded = encoder.encode(bgr, 'dwtDct')
+        return Image.fromarray(
+            cv2.cvtColor(bgr_encoded, cv2.COLOR_BGR2RGB)
+        ).convert("RGBA")
diff --git a/invokeai/backend/image_util/safety_checker.py b/invokeai/backend/image_util/safety_checker.py
new file mode 100644
index 0000000000..7a31c9422d
--- /dev/null
+++ b/invokeai/backend/image_util/safety_checker.py
@@ -0,0 +1,63 @@
+"""
+This module defines a singleton object, "safety_checker" that
+wraps the safety_checker model. It respects the global "nsfw_checker"
+configuration variable, that allows the checker to be supressed.
+"""
+import numpy as np
+from PIL import Image
+from invokeai.backend import SilenceWarnings
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend.util.devices import choose_torch_device
+import invokeai.backend.util.logging as logger
+config = InvokeAIAppConfig.get_config()
+
+CHECKER_PATH = 'core/convert/stable-diffusion-safety-checker'
+
+class SafetyChecker:
+    """
+    Wrapper around SafetyChecker model.
+    """
+    safety_checker = None
+    feature_extractor = None
+    tried_load: bool = False
+
+    @classmethod
+    def _load_safety_checker(self):
+        if self.tried_load:
+            return
+        
+        if config.nsfw_checker:
+            try:
+                from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
+                from transformers import AutoFeatureExtractor
+                self.safety_checker = StableDiffusionSafetyChecker.from_pretrained(
+                    config.models_path / CHECKER_PATH
+                )
+                self.feature_extractor = AutoFeatureExtractor.from_pretrained(
+                    config.models_path / CHECKER_PATH)
+                logger.info('NSFW checker initialized')
+            except Exception as e:
+                logger.warning(f'Could not load NSFW checker: {str(e)}')
+        else:
+            logger.info('NSFW checker loading disabled')
+        self.tried_load = True
+
+    @classmethod
+    def safety_checker_available(self) -> bool:
+        self._load_safety_checker()
+        return self.safety_checker is not None
+
+    @classmethod
+    def has_nsfw_concept(self, image: Image) -> bool:
+        if not self.safety_checker_available():
+            return False
+        
+        device = choose_torch_device()
+        features = self.feature_extractor([image], return_tensors="pt")
+        features.to(device)
+        self.safety_checker.to(device)
+        x_image = np.array(image).astype(np.float32) / 255.0
+        x_image = x_image[None].transpose(0, 3, 1, 2)
+        with SilenceWarnings():
+            checked_image, has_nsfw_concept = self.safety_checker(images=x_image, clip_input=features.pixel_values)
+        return has_nsfw_concept[0]
diff --git a/invokeai/backend/safety_checker.py b/invokeai/backend/safety_checker.py
deleted file mode 100644
index 0a943ad7b6..0000000000
--- a/invokeai/backend/safety_checker.py
+++ /dev/null
@@ -1,77 +0,0 @@
-'''
-SafetyChecker class - checks images against the StabilityAI NSFW filter
-and blurs images that contain potential NSFW content.
-'''
-import diffusers
-import numpy as np
-import torch
-import traceback
-from diffusers.pipelines.stable_diffusion.safety_checker import (
-    StableDiffusionSafetyChecker,
-)
-from pathlib import Path
-from PIL import Image, ImageFilter
-from transformers import AutoFeatureExtractor
-
-import invokeai.assets.web as web_assets
-import invokeai.backend.util.logging as logger
-from invokeai.app.services.config import InvokeAIAppConfig
-from .util import CPU_DEVICE
-
-config = InvokeAIAppConfig.get_config()
-
-class SafetyChecker(object):
-    CAUTION_IMG = "caution.png"
-    
-    def __init__(self, device: torch.device):
-        path = Path(web_assets.__path__[0]) / self.CAUTION_IMG
-        caution = Image.open(path)
-        self.caution_img = caution.resize((caution.width // 2, caution.height // 2))
-        self.device = device
-
-        try:
-            safety_model_id = config.models_path / 'core/convert/stable-diffusion-safety-checker'
-            feature_extractor_id = config.models_path / 'core/convert/stable-diffusion-safety-checker-extractor'
-            self.safety_checker = StableDiffusionSafetyChecker.from_pretrained(safety_model_id)
-            self.safety_feature_extractor = AutoFeatureExtractor.from_pretrained(feature_extractor_id)
-        except Exception:
-            logger.error(
-                "An error was encountered while installing the safety checker:"
-            )
-            print(traceback.format_exc())
-
-    def check(self, image: Image.Image):
-        """
-        Check provided image against the StabilityAI safety checker and return
-
-        """
-
-        self.safety_checker.to(self.device)
-        features = self.safety_feature_extractor([image], return_tensors="pt")
-        features.to(self.device)
-        
-        # unfortunately checker requires the numpy version, so we have to convert back
-        x_image = np.array(image).astype(np.float32) / 255.0
-        x_image = x_image[None].transpose(0, 3, 1, 2)
-
-        diffusers.logging.set_verbosity_error()
-        checked_image, has_nsfw_concept = self.safety_checker(
-            images=x_image, clip_input=features.pixel_values
-        )
-        self.safety_checker.to(CPU_DEVICE) # offload
-        if has_nsfw_concept[0]:
-            logger.warning(
-                "An image with potential non-safe content has been detected. A blurred image will be returned."
-            )
-            return self.blur(image)
-        else:
-            return image
-
-    def blur(self, input):
-        blurry = input.filter(filter=ImageFilter.GaussianBlur(radius=32))
-        try:
-            if caution := self.caution_img:
-                blurry.paste(caution, (0, 0), caution)
-        except FileNotFoundError:
-            pass
-        return blurry

From 2c5b539d3a2e83e378d6d8d497bdd532c40c7e25 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 24 Jul 2023 22:17:22 -0400
Subject: [PATCH 54/58] esrgan and its models are now nested in app config
 route

---
 invokeai/app/api/routers/app_info.py | 18 ++++++++++++------
 1 file changed, 12 insertions(+), 6 deletions(-)

diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py
index ff8198103b..e37184a77b 100644
--- a/invokeai/app/api/routers/app_info.py
+++ b/invokeai/app/api/routers/app_info.py
@@ -22,6 +22,10 @@ class LogLevel(int, Enum):
     Warning = logging.WARNING
     Error = logging.ERROR
     Critical = logging.CRITICAL
+
+class Upscaler(BaseModel):
+    upscaling_method: str = Field(description="Name of upscaling method")
+    upscaling_models: list[str] = Field(description="List of upscaling models for this method")
     
 app_router = APIRouter(prefix="/v1/app", tags=["app"])
 
@@ -36,8 +40,7 @@ class AppConfig(BaseModel):
     """App Config Response"""
 
     infill_methods: list[str] = Field(description="List of available infill methods")
-    upscaling_methods: list[str] = Field(description="List of upscaling methods")
-    upscaling_models: list[str] = Field(description="List of postprocessing methods")
+    upscaling_methods: list[Upscaler] = Field(description="List of upscaling methods")
     nsfw_methods: list[str] = Field(description="List of NSFW checking methods")
     watermarking_methods: list[str] = Field(description="List of invisible watermark methods")
 
@@ -57,11 +60,15 @@ async def get_config() -> AppConfig:
     if PatchMatch.patchmatch_available():
         infill_methods.append('patchmatch')
         
-    upscaling_methods = ['esrgan']
+
     upscaling_models = []
     for model in typing.get_args(ESRGAN_MODELS):
         upscaling_models.append(str(Path(model).stem))
-
+    upscaler = Upscaler(
+        upscaling_method = 'esrgan',
+        upscaling_models = upscaling_models
+    )
+    
     nsfw_methods = []
     if SafetyChecker.safety_checker_available():
         nsfw_methods.append('nsfw_checker')
@@ -72,8 +79,7 @@ async def get_config() -> AppConfig:
         
     return AppConfig(
         infill_methods=infill_methods,
-        upscaling_methods=upscaling_methods,
-        upscaling_models=upscaling_models,
+        upscaling_methods=[upscaler],
         nsfw_methods=nsfw_methods,
         watermarking_methods=watermarking_methods,
     )

From db48f3230b9b2b13696cb6bff20c265213b8d0d4 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 18:20:20 +1000
Subject: [PATCH 55/58] feat(ui): add nsfw & watermark to linear ui

- add `addNSFWCheckerToGraph` and `addWatermarkerToGraph` functions
- use them in all linear graph creation
- add state & toggles to settings modal to enable these
- trigger queries for app config on socket connect
- disable the nsfw/watermark booleans if we get the app config and they are not available
---
 .../listeners/appConfigReceived.ts            | 15 ++-
 .../listeners/socketio/socketConnected.ts     | 24 ++---
 .../graphBuilders/addNSFWCheckerToGraph.ts    | 70 ++++++++++++++
 .../graphBuilders/addWatermarkerToGraph.ts    | 95 +++++++++++++++++++
 .../buildCanvasImageToImageGraph.ts           | 62 ++++--------
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 13 +++
 .../buildCanvasTextToImageGraph.ts            | 56 +++--------
 .../buildLinearImageToImageGraph.ts           | 82 +++-------------
 .../buildLinearSDXLImageToImageGraph.ts       | 13 +++
 .../buildLinearSDXLTextToImageGraph.ts        | 13 +++
 .../buildLinearTextToImageGraph.ts            | 46 +++------
 .../SettingsModal/SettingsModal.tsx           | 35 +++++++
 .../src/features/system/store/systemSlice.ts  | 12 +++
 .../web/src/services/api/endpoints/appInfo.ts |  2 +
 .../frontend/web/src/services/api/schema.d.ts | 70 +++++++-------
 .../frontend/web/src/services/api/types.d.ts  |  6 ++
 16 files changed, 378 insertions(+), 236 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
index 68148a192f..ef81377f99 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
@@ -1,4 +1,8 @@
 import { setInfillMethod } from 'features/parameters/store/generationSlice';
+import {
+  shouldUseNSFWCheckerChanged,
+  shouldUseWatermarkerChanged,
+} from 'features/system/store/systemSlice';
 import { appInfoApi } from 'services/api/endpoints/appInfo';
 import { startAppListening } from '..';
 
@@ -6,12 +10,21 @@ export const addAppConfigReceivedListener = () => {
   startAppListening({
     matcher: appInfoApi.endpoints.getAppConfig.matchFulfilled,
     effect: async (action, { getState, dispatch }) => {
-      const { infill_methods } = action.payload;
+      const { infill_methods, nsfw_methods, watermarking_methods } =
+        action.payload;
       const infillMethod = getState().generation.infillMethod;
 
       if (!infill_methods.includes(infillMethod)) {
         dispatch(setInfillMethod(infill_methods[0]));
       }
+
+      if (!nsfw_methods.includes('nsfw_checker')) {
+        dispatch(shouldUseNSFWCheckerChanged(false));
+      }
+
+      if (!watermarking_methods.includes('invisible_watermark')) {
+        dispatch(shouldUseWatermarkerChanged(false));
+      }
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
index ec310eac4c..32a6cce203 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketConnected.ts
@@ -1,13 +1,10 @@
 import { logger } from 'app/logging/logger';
+import { LIST_TAG } from 'services/api';
+import { appInfoApi } from 'services/api/endpoints/appInfo';
 import { modelsApi } from 'services/api/endpoints/models';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { appSocketConnected, socketConnected } from 'services/events/actions';
 import { startAppListening } from '../..';
-import {
-  ALL_BASE_MODELS,
-  NON_REFINER_BASE_MODELS,
-  REFINER_BASE_MODELS,
-} from 'services/api/constants';
 
 export const addSocketConnectedEventListener = () => {
   startAppListening({
@@ -29,15 +26,18 @@ export const addSocketConnectedEventListener = () => {
       dispatch(appSocketConnected(action.payload));
 
       // update all server state
-      dispatch(modelsApi.endpoints.getMainModels.initiate(REFINER_BASE_MODELS));
       dispatch(
-        modelsApi.endpoints.getMainModels.initiate(NON_REFINER_BASE_MODELS)
+        modelsApi.util.invalidateTags([
+          { type: 'MainModel', id: LIST_TAG },
+          { type: 'SDXLRefinerModel', id: LIST_TAG },
+          { type: 'LoRAModel', id: LIST_TAG },
+          { type: 'ControlNetModel', id: LIST_TAG },
+          { type: 'VaeModel', id: LIST_TAG },
+          { type: 'TextualInversionModel', id: LIST_TAG },
+          { type: 'ScannedModels', id: LIST_TAG },
+        ])
       );
-      dispatch(modelsApi.endpoints.getMainModels.initiate(ALL_BASE_MODELS));
-      dispatch(modelsApi.endpoints.getControlNetModels.initiate());
-      dispatch(modelsApi.endpoints.getLoRAModels.initiate());
-      dispatch(modelsApi.endpoints.getTextualInversionModels.initiate());
-      dispatch(modelsApi.endpoints.getVaeModels.initiate());
+      dispatch(appInfoApi.util.invalidateTags(['AppConfig', 'AppVersion']));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
new file mode 100644
index 0000000000..35e7f3ac38
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
@@ -0,0 +1,70 @@
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import {
+  ImageNSFWBlurInvocation,
+  LatentsToImageInvocation,
+  MetadataAccumulatorInvocation,
+} from 'services/api/types';
+import {
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NSFW_CHECKER,
+} from './constants';
+
+export const addNSFWCheckerToGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  nodeIdToAddTo = LATENTS_TO_IMAGE
+): void => {
+  const activeTabName = activeTabNameSelector(state);
+
+  const is_intermediate =
+    activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false;
+
+  const nodeToAddTo = graph.nodes[nodeIdToAddTo] as
+    | LatentsToImageInvocation
+    | undefined;
+
+  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+    | MetadataAccumulatorInvocation
+    | undefined;
+
+  if (!nodeToAddTo) {
+    // something has gone terribly awry
+    return;
+  }
+
+  nodeToAddTo.is_intermediate = true;
+
+  const nsfwCheckerNode: ImageNSFWBlurInvocation = {
+    id: NSFW_CHECKER,
+    type: 'img_nsfw',
+    is_intermediate,
+  };
+
+  graph.nodes[NSFW_CHECKER] = nsfwCheckerNode;
+  graph.edges.push({
+    source: {
+      node_id: nodeIdToAddTo,
+      field: 'image',
+    },
+    destination: {
+      node_id: NSFW_CHECKER,
+      field: 'image',
+    },
+  });
+
+  if (metadataAccumulator) {
+    graph.edges.push({
+      source: {
+        node_id: METADATA_ACCUMULATOR,
+        field: 'metadata',
+      },
+      destination: {
+        node_id: NSFW_CHECKER,
+        field: 'metadata',
+      },
+    });
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts
new file mode 100644
index 0000000000..f2e8a0aeca
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts
@@ -0,0 +1,95 @@
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import {
+  ImageNSFWBlurInvocation,
+  ImageWatermarkInvocation,
+  LatentsToImageInvocation,
+  MetadataAccumulatorInvocation,
+} from 'services/api/types';
+import {
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NSFW_CHECKER,
+  WATERMARKER,
+} from './constants';
+
+export const addWatermarkerToGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  nodeIdToAddTo = LATENTS_TO_IMAGE
+): void => {
+  const activeTabName = activeTabNameSelector(state);
+
+  const is_intermediate =
+    activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false;
+
+  const nodeToAddTo = graph.nodes[nodeIdToAddTo] as
+    | LatentsToImageInvocation
+    | undefined;
+
+  const nsfwCheckerNode = graph.nodes[NSFW_CHECKER] as
+    | ImageNSFWBlurInvocation
+    | undefined;
+
+  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+    | MetadataAccumulatorInvocation
+    | undefined;
+
+  if (!nodeToAddTo) {
+    // something has gone terribly awry
+    return;
+  }
+
+  const watermarkerNode: ImageWatermarkInvocation = {
+    id: WATERMARKER,
+    type: 'img_watermark',
+    is_intermediate,
+  };
+
+  graph.nodes[WATERMARKER] = watermarkerNode;
+
+  // no matter the situation, we want the l2i node to be intermediate
+  nodeToAddTo.is_intermediate = true;
+
+  if (nsfwCheckerNode) {
+    // if we are using NSFW checker, we need to "disable" it output by marking it intermediate,
+    // then connect it to the watermark node
+    nsfwCheckerNode.is_intermediate = true;
+    graph.edges.push({
+      source: {
+        node_id: NSFW_CHECKER,
+        field: 'image',
+      },
+      destination: {
+        node_id: WATERMARKER,
+        field: 'image',
+      },
+    });
+  } else {
+    // otherwise we just connect to the watermark node
+    graph.edges.push({
+      source: {
+        node_id: nodeIdToAddTo,
+        field: 'image',
+      },
+      destination: {
+        node_id: WATERMARKER,
+        field: 'image',
+      },
+    });
+  }
+
+  if (metadataAccumulator) {
+    graph.edges.push({
+      source: {
+        node_id: METADATA_ACCUMULATOR,
+        field: 'metadata',
+      },
+      destination: {
+        node_id: WATERMARKER,
+        field: 'metadata',
+      },
+    });
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 7920d2638a..81e99e0dd0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -10,7 +10,9 @@ import {
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
   IMAGE_TO_IMAGE_GRAPH,
@@ -23,8 +25,6 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
-  NSFW_CHECKER,
-  WATERMARKER,
 } from './constants';
 
 /**
@@ -105,11 +105,6 @@ export const buildCanvasImageToImageGraph = (
         is_intermediate: true,
         skipped_layers: clipSkip,
       },
-      [LATENTS_TO_IMAGE]: {
-        type: 'l2i',
-        id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
-      },
       [LATENTS_TO_LATENTS]: {
         type: 'l2l',
         id: LATENTS_TO_LATENTS,
@@ -128,15 +123,10 @@ export const buildCanvasImageToImageGraph = (
         //   image_name: initialImage.image_name,
         // },
       },
-      [NSFW_CHECKER]: {
-        type: 'img_nsfw',
-        id: NSFW_CHECKER,
-        is_intermediate: true,
-      },
-      [WATERMARKER]: {
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
-        type: 'img_watermark',
-        id: WATERMARKER,
       },
     },
     edges: [
@@ -180,26 +170,6 @@ export const buildCanvasImageToImageGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
-        destination: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-        destination: {
-          node_id: WATERMARKER,
-          field: 'image',
-        },
-      },
       {
         source: {
           node_id: IMAGE_TO_LATENTS,
@@ -342,17 +312,6 @@ export const buildCanvasImageToImageGraph = (
     init_image: initialImage.image_name,
   };
 
-  graph.edges.push({
-    source: {
-      node_id: METADATA_ACCUMULATOR,
-      field: 'metadata',
-    },
-    destination: {
-      node_id: WATERMARKER,
-      field: 'metadata',
-    },
-  });
-
   // add LoRA support
   addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
 
@@ -365,5 +324,16 @@ export const buildCanvasImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index fa6e20aaa4..4154c1b5eb 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -20,6 +20,8 @@ import {
   RANDOM_INT,
   RANGE_OF_SIZE,
 } from './constants';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -249,5 +251,16 @@ export const buildCanvasInpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph, INPAINT);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph, INPAINT);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 88e2f5e70b..597a643367 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -5,7 +5,9 @@ import { initialGenerationState } from 'features/parameters/store/generationSlic
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
   LATENTS_TO_IMAGE,
@@ -16,8 +18,6 @@ import {
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
-  NSFW_CHECKER,
-  WATERMARKER,
 } from './constants';
 
 /**
@@ -109,16 +109,6 @@ export const buildCanvasTextToImageGraph = (
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
-        is_intermediate: true,
-      },
-      [NSFW_CHECKER]: {
-        type: 'img_nsfw',
-        id: NSFW_CHECKER,
-        is_intermediate: true,
-      },
-      [WATERMARKER]: {
-        type: 'img_watermark',
-        id: WATERMARKER,
         is_intermediate: !shouldAutoSave,
       },
     },
@@ -193,26 +183,6 @@ export const buildCanvasTextToImageGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
-        destination: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-        destination: {
-          node_id: WATERMARKER,
-          field: 'image',
-        },
-      },
       {
         source: {
           node_id: NOISE,
@@ -247,17 +217,6 @@ export const buildCanvasTextToImageGraph = (
     clip_skip: clipSkip,
   };
 
-  graph.edges.push({
-    source: {
-      node_id: METADATA_ACCUMULATOR,
-      field: 'metadata',
-    },
-    destination: {
-      node_id: WATERMARKER,
-      field: 'metadata',
-    },
-  });
-
   // add LoRA support
   addLoRAsToGraph(state, graph, TEXT_TO_LATENTS);
 
@@ -270,5 +229,16 @@ export const buildCanvasTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index c8df39a4d8..d78e2e1356 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -9,7 +9,9 @@ import {
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
   IMAGE_TO_IMAGE_GRAPH,
@@ -22,8 +24,6 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
-  NSFW_CHECKER,
-  WATERMARKER,
 } from './constants';
 
 /**
@@ -187,26 +187,6 @@ export const buildLinearImageToImageGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
-        destination: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-        destination: {
-          node_id: WATERMARKER,
-          field: 'image',
-        },
-      },
       {
         source: {
           node_id: IMAGE_TO_LATENTS,
@@ -319,42 +299,6 @@ export const buildLinearImageToImageGraph = (
     });
   }
 
-  // TODO: add batch functionality
-  // if (isBatchEnabled && asInitialImage && batchImageNames.length > 0) {
-  //   // we are going to connect an iterate up to the init image
-  //   delete (graph.nodes[IMAGE_TO_LATENTS] as ImageToLatentsInvocation).image;
-
-  //   const imageCollection: ImageCollectionInvocation = {
-  //     id: IMAGE_COLLECTION,
-  //     type: 'image_collection',
-  //     images: batchImageNames.map((image_name) => ({ image_name })),
-  //   };
-
-  //   const imageCollectionIterate: IterateInvocation = {
-  //     id: IMAGE_COLLECTION_ITERATE,
-  //     type: 'iterate',
-  //   };
-
-  //   graph.nodes[IMAGE_COLLECTION] = imageCollection;
-  //   graph.nodes[IMAGE_COLLECTION_ITERATE] = imageCollectionIterate;
-
-  //   graph.edges.push({
-  //     source: { node_id: IMAGE_COLLECTION, field: 'collection' },
-  //     destination: {
-  //       node_id: IMAGE_COLLECTION_ITERATE,
-  //       field: 'collection',
-  //     },
-  //   });
-
-  //   graph.edges.push({
-  //     source: { node_id: IMAGE_COLLECTION_ITERATE, field: 'item' },
-  //     destination: {
-  //       node_id: IMAGE_TO_LATENTS,
-  //       field: 'image',
-  //     },
-  //   });
-  // }
-
   // add metadata accumulator, which is only mostly populated - some fields are added later
   graph.nodes[METADATA_ACCUMULATOR] = {
     id: METADATA_ACCUMULATOR,
@@ -378,17 +322,6 @@ export const buildLinearImageToImageGraph = (
     init_image: initialImage.imageName,
   };
 
-  graph.edges.push({
-    source: {
-      node_id: METADATA_ACCUMULATOR,
-      field: 'metadata',
-    },
-    destination: {
-      node_id: WATERMARKER,
-      field: 'metadata',
-    },
-  });
-
   // add LoRA support
   addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
 
@@ -401,5 +334,16 @@ export const buildLinearImageToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index e80821e060..8c82002b2e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -20,6 +20,8 @@ import {
   SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 
 /**
  * Builds the Image to Image tab graph.
@@ -365,5 +367,16 @@ export const buildLinearSDXLImageToImageGraph = (
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 8efcbf8876..36f35a90de 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -14,6 +14,8 @@ import {
   SDXL_TEXT_TO_IMAGE_GRAPH,
   SDXL_TEXT_TO_LATENTS,
 } from './constants';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 
 export const buildLinearSDXLTextToImageGraph = (
   state: RootState
@@ -247,5 +249,16 @@ export const buildLinearSDXLTextToImageGraph = (
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index cfcb1a98c7..94f35feba0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -5,7 +5,9 @@ import { initialGenerationState } from 'features/parameters/store/generationSlic
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
   LATENTS_TO_IMAGE,
@@ -16,8 +18,6 @@ import {
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
-  NSFW_CHECKER,
-  WATERMARKER,
 } from './constants';
 
 export const buildLinearTextToImageGraph = (
@@ -182,26 +182,6 @@ export const buildLinearTextToImageGraph = (
           field: 'noise',
         },
       },
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
-        destination: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: NSFW_CHECKER,
-          field: 'image',
-        },
-        destination: {
-          node_id: WATERMARKER,
-          field: 'image',
-        },
-      },
     ],
   };
 
@@ -226,17 +206,6 @@ export const buildLinearTextToImageGraph = (
     clip_skip: clipSkip,
   };
 
-  graph.edges.push({
-    source: {
-      node_id: METADATA_ACCUMULATOR,
-      field: 'metadata',
-    },
-    destination: {
-      node_id: WATERMARKER,
-      field: 'metadata',
-    },
-  });
-
   // add LoRA support
   addLoRAsToGraph(state, graph, TEXT_TO_LATENTS);
 
@@ -249,5 +218,16 @@ export const buildLinearTextToImageGraph = (
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
 
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
   return graph;
 };
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index 2deccfa46d..49102a5bbd 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -26,6 +26,8 @@ import {
   setShouldConfirmOnDelete,
   shouldAntialiasProgressImageChanged,
   shouldLogToConsoleChanged,
+  shouldUseNSFWCheckerChanged,
+  shouldUseWatermarkerChanged,
 } from 'features/system/store/systemSlice';
 import {
   setShouldShowProgressInViewer,
@@ -42,6 +44,7 @@ import {
 } from 'react';
 import { useTranslation } from 'react-i18next';
 import { LogLevelName } from 'roarr';
+import { useGetAppConfigQuery } from 'services/api/endpoints/appInfo';
 import SettingSwitch from './SettingSwitch';
 import SettingsClearIntermediates from './SettingsClearIntermediates';
 import SettingsSchedulers from './SettingsSchedulers';
@@ -57,6 +60,8 @@ const selector = createSelector(
       shouldLogToConsole,
       shouldAntialiasProgressImage,
       isNodesEnabled,
+      shouldUseNSFWChecker,
+      shouldUseWatermarker,
     } = system;
 
     const {
@@ -78,6 +83,8 @@ const selector = createSelector(
       shouldAntialiasProgressImage,
       shouldShowAdvancedOptions,
       isNodesEnabled,
+      shouldUseNSFWChecker,
+      shouldUseWatermarker,
     };
   },
   {
@@ -120,6 +127,16 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     }
   }, [shouldShowDeveloperSettings, dispatch]);
 
+  const { isNSFWCheckerAvailable, isWatermarkerAvailable } =
+    useGetAppConfigQuery(undefined, {
+      selectFromResult: ({ data }) => ({
+        isNSFWCheckerAvailable:
+          data?.nsfw_methods.includes('nsfw_checker') ?? false,
+        isWatermarkerAvailable:
+          data?.watermarking_methods.includes('invisible_watermark') ?? false,
+      }),
+    });
+
   const {
     isOpen: isSettingsModalOpen,
     onOpen: onSettingsModalOpen,
@@ -143,6 +160,8 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     shouldAntialiasProgressImage,
     shouldShowAdvancedOptions,
     isNodesEnabled,
+    shouldUseNSFWChecker,
+    shouldUseWatermarker,
   } = useAppSelector(selector);
 
   const handleClickResetWebUI = useCallback(() => {
@@ -221,6 +240,22 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
               <StyledFlex>
                 <Heading size="sm">{t('settings.generation')}</Heading>
                 <SettingsSchedulers />
+                <SettingSwitch
+                  label="Enable NSFW Checker"
+                  isDisabled={!isNSFWCheckerAvailable}
+                  isChecked={shouldUseNSFWChecker}
+                  onChange={(e: ChangeEvent<HTMLInputElement>) =>
+                    dispatch(shouldUseNSFWCheckerChanged(e.target.checked))
+                  }
+                />
+                <SettingSwitch
+                  label="Enable Invisible Watermark"
+                  isDisabled={!isWatermarkerAvailable}
+                  isChecked={shouldUseWatermarker}
+                  onChange={(e: ChangeEvent<HTMLInputElement>) =>
+                    dispatch(shouldUseWatermarkerChanged(e.target.checked))
+                  }
+                />
               </StyledFlex>
 
               <StyledFlex>
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index b7a5e606e2..7189058632 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -87,6 +87,8 @@ export interface SystemState {
   language: keyof typeof LANGUAGES;
   isUploading: boolean;
   isNodesEnabled: boolean;
+  shouldUseNSFWChecker: boolean;
+  shouldUseWatermarker: boolean;
 }
 
 export const initialSystemState: SystemState = {
@@ -119,6 +121,8 @@ export const initialSystemState: SystemState = {
   language: 'en',
   isUploading: false,
   isNodesEnabled: false,
+  shouldUseNSFWChecker: true,
+  shouldUseWatermarker: true,
 };
 
 export const systemSlice = createSlice({
@@ -194,6 +198,12 @@ export const systemSlice = createSlice({
     setIsNodesEnabled(state, action: PayloadAction<boolean>) {
       state.isNodesEnabled = action.payload;
     },
+    shouldUseNSFWCheckerChanged(state, action: PayloadAction<boolean>) {
+      state.shouldUseNSFWChecker = action.payload;
+    },
+    shouldUseWatermarkerChanged(state, action: PayloadAction<boolean>) {
+      state.shouldUseWatermarker = action.payload;
+    },
   },
   extraReducers(builder) {
     /**
@@ -409,6 +419,8 @@ export const {
   languageChanged,
   progressImageSet,
   setIsNodesEnabled,
+  shouldUseNSFWCheckerChanged,
+  shouldUseWatermarkerChanged,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
index f76b56761c..2d3537998d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/appInfo.ts
@@ -8,6 +8,7 @@ export const appInfoApi = api.injectEndpoints({
         url: `app/version`,
         method: 'GET',
       }),
+      providesTags: ['AppVersion'],
       keepUnusedDataFor: 86400000, // 1 day
     }),
     getAppConfig: build.query<AppConfig, void>({
@@ -15,6 +16,7 @@ export const appInfoApi = api.injectEndpoints({
         url: `app/config`,
         method: 'GET',
       }),
+      providesTags: ['AppConfig'],
       keepUnusedDataFor: 86400000, // 1 day
     }),
   }),
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 56952f2766..c8e87ef8c5 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -318,6 +318,21 @@ export type components = {
        * @description List of available infill methods
        */
       infill_methods: (string)[];
+      /**
+       * Upscaling Methods 
+       * @description List of upscaling methods
+       */
+      upscaling_methods: (components["schemas"]["Upscaler"])[];
+      /**
+       * Nsfw Methods 
+       * @description List of NSFW checking methods
+       */
+      nsfw_methods: (string)[];
+      /**
+       * Watermarking Methods 
+       * @description List of invisible watermark methods
+       */
+      watermarking_methods: (string)[];
     };
     /**
      * AppVersion 
@@ -1345,7 +1360,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1388,7 +1403,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -1962,22 +1977,11 @@ export type components = {
        * @description The image to check
        */
       image?: components["schemas"]["ImageField"];
-      /**
-       * Enabled 
-       * @description Whether the NSFW checker is enabled 
-       * @default false
-       */
-      enabled?: boolean;
       /**
        * Metadata 
        * @description Optional core metadata to be written to the image
        */
       metadata?: components["schemas"]["CoreMetadata"];
-      /**
-       * Default Enabled 
-       * @default false
-       */
-      DEFAULT_ENABLED?: boolean;
     };
     /**
      * ImageOutput 
@@ -2292,22 +2296,11 @@ export type components = {
        * @default InvokeAI
        */
       text?: string;
-      /**
-       * Enabled 
-       * @description Whether the invisible watermark is enabled 
-       * @default true
-       */
-      enabled?: boolean;
       /**
        * Metadata 
        * @description Optional core metadata to be written to the image
        */
       metadata?: components["schemas"]["CoreMetadata"];
-      /**
-       * Default Enabled 
-       * @default true
-       */
-      DEFAULT_ENABLED?: boolean;
     };
     /**
      * InfillColorInvocation 
@@ -5403,6 +5396,19 @@ export type components = {
        */
       loras: (components["schemas"]["LoraInfo"])[];
     };
+    /** Upscaler */
+    Upscaler: {
+      /**
+       * Upscaling Method 
+       * @description Name of upscaling method
+       */
+      upscaling_method: string;
+      /**
+       * Upscaling Models 
+       * @description List of upscaling models for this method
+       */
+      upscaling_models: (string)[];
+    };
     /**
      * VAEModelField 
      * @description Vae model field
@@ -5529,6 +5535,12 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
@@ -5541,12 +5553,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5657,7 +5663,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
@@ -5694,7 +5700,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts
index 3e945691f1..7d9040321c 100644
--- a/invokeai/frontend/web/src/services/api/types.d.ts
+++ b/invokeai/frontend/web/src/services/api/types.d.ts
@@ -134,6 +134,12 @@ export type ESRGANInvocation = TypeReq<
 export type DivideInvocation = TypeReq<
   components['schemas']['DivideInvocation']
 >;
+export type ImageNSFWBlurInvocation = TypeReq<
+  components['schemas']['ImageNSFWBlurInvocation']
+>;
+export type ImageWatermarkInvocation = TypeReq<
+  components['schemas']['ImageWatermarkInvocation']
+>;
 
 // ControlNet Nodes
 export type ControlNetInvocation = TypeReq<

From 30c3b7a6fc7934c05ea383fcf1c8362a892c492c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 18:40:17 +1000
Subject: [PATCH 56/58] fix(ui): fix invoke button being disabled

---
 invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
index 3462a26353..f43ec1851f 100644
--- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
+++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts
@@ -5,8 +5,8 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 // import { validateSeedWeights } from 'common/util/seedWeightPairs';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { forEach } from 'lodash-es';
+import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { modelsApi } from '../../services/api/endpoints/models';
-import { ALL_BASE_MODELS } from 'services/api/constants';
 
 const readinessSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -25,7 +25,7 @@ const readinessSelector = createSelector(
     }
 
     const { isSuccess: mainModelsSuccessfullyLoaded } =
-      modelsApi.endpoints.getMainModels.select(ALL_BASE_MODELS)(state);
+      modelsApi.endpoints.getMainModels.select(NON_REFINER_BASE_MODELS)(state);
     if (!mainModelsSuccessfullyLoaded) {
       isReady = false;
       reasonsWhyNotReady.push('Models are not loaded');

From db0544510325994b78b24d231428d0603c8e624a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 18:48:43 +1000
Subject: [PATCH 57/58] fix(tests): fix test_path

- assets path has changed
---
 tests/test_path.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_path.py b/tests/test_path.py
index 6076c6554f..52936142c7 100644
--- a/tests/test_path.py
+++ b/tests/test_path.py
@@ -9,7 +9,7 @@ from PIL import Image
 
 import invokeai.frontend.web.dist as frontend
 import invokeai.configs as configs
-import invokeai.assets.web as assets_web
+import invokeai.app.assets.images as image_assets
 
 class ConfigsTestCase(unittest.TestCase):
     """Test the configuration related imports and objects"""
@@ -35,7 +35,7 @@ class ConfigsTestCase(unittest.TestCase):
 
     def test_caution_img(self):
         """Verify the caution image"""
-        caution_img = Image.open(osp.join(assets_web.__path__[0], "caution.png"))
+        caution_img = Image.open(osp.join(image_assets.__path__[0], "caution.png"))
         assert caution_img.width == int(500)
         assert caution_img.height == int(441)
         assert caution_img.format == str("PNG")

From 513b223ef6ce1a5d8a32e31fce91f033993a68cf Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 26 Jul 2023 18:49:29 +1000
Subject: [PATCH 58/58] fix(test): fix test_graph_subgraph_t2i

needed to be updated after adding the nsfw checker node to the graph
---
 tests/nodes/test_node_graph.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index cd995141ab..e2a4c8b343 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -462,16 +462,16 @@ def test_graph_subgraph_t2i():
     
     n4 = ShowImageInvocation(id = "4")
     g.add_node(n4)
-    g.add_edge(create_edge("1.7","image","4","image"))
+    g.add_edge(create_edge("1.8","image","4","image"))
 
     # Validate
     dg = g.nx_graph_flat()
-    assert set(dg.nodes) == set(['1.width', '1.height', '1.seed', '1.3', '1.4', '1.5', '1.6', '1.7', '2', '3', '4'])
+    assert set(dg.nodes) == set(['1.width', '1.height', '1.seed', '1.3', '1.4', '1.5', '1.6', '1.7', '1.8', '2', '3', '4'])
     expected_edges = [(f'1.{e.source.node_id}',f'1.{e.destination.node_id}') for e in lg.graph.edges]
     expected_edges.extend([
         ('2','1.width'),
         ('3','1.height'),
-        ('1.7','4')
+        ('1.8','4')
     ])
     print(expected_edges)
     print(list(dg.edges))