diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md index c48c971098..2b30b9f0af 100644 --- a/docs/nodes/communityNodes.md +++ b/docs/nodes/communityNodes.md @@ -196,6 +196,40 @@ Results after using the depth controlnet -------------------------------- +### Prompt Tools + +**Description:** A set of InvokeAI nodes that add general prompt manipulation tools. These where written to accompany the PromptsFromFile node and other prompt generation nodes. + +1. PromptJoin - Joins to prompts into one. +2. PromptReplace - performs a search and replace on a prompt. With the option of using regex. +3. PromptSplitNeg - splits a prompt into positive and negative using the old V2 method of [] for negative. +4. PromptToFile - saves a prompt or collection of prompts to a file. one per line. There is an append/overwrite option. +5. PTFieldsCollect - Converts image generation fields into a Json format string that can be passed to Prompt to file. +6. PTFieldsExpand - Takes Json string and converts it to individual generation parameters This can be fed from the Prompts to file node. +7. PromptJoinThree - Joins 3 prompt together. +8. PromptStrength - This take a string and float and outputs another string in the format of (string)strength like the weighted format of compel. +9. PromptStrengthCombine - This takes a collection of prompt strength strings and outputs a string in the .and() or .blend() format that can be fed into a proper prompt node. + +See full docs here: https://github.com/skunkworxdark/Prompt-tools-nodes/edit/main/README.md + +**Node Link:** https://github.com/skunkworxdark/Prompt-tools-nodes + +-------------------------------- + +### XY Image to Grid and Images to Grids nodes + +**Description:** Image to grid nodes and supporting tools. + +1. "Images To Grids" node - Takes a collection of images and creates a grid(s) of images. If there are more images than the size of a single grid then mutilple grids will be created until it runs out of images. +2. "XYImage To Grid" node - Converts a collection of XYImages into a labeled Grid of images. The XYImages collection has to be built using the supporoting nodes. See example node setups for more details. + + +See full docs here: https://github.com/skunkworxdark/XYGrid_nodes/edit/main/README.md + +**Node Link:** https://github.com/skunkworxdark/XYGrid_nodes + +-------------------------------- + ### Example Node Template **Description:** This node allows you to do super cool things with InvokeAI. diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py index 3a54280234..c2a32010c5 100644 --- a/invokeai/app/api/dependencies.py +++ b/invokeai/app/api/dependencies.py @@ -1,5 +1,6 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) +import sqlite3 from logging import Logger from invokeai.app.services.board_image_record_storage import SqliteBoardImageRecordStorage @@ -9,7 +10,10 @@ from invokeai.app.services.boards import BoardService, BoardServiceDependencies from invokeai.app.services.config import InvokeAIAppConfig from invokeai.app.services.image_record_storage import SqliteImageRecordStorage from invokeai.app.services.images import ImageService, ImageServiceDependencies +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache from invokeai.app.services.resource_name import SimpleNameService +from invokeai.app.services.session_processor.session_processor_default import DefaultSessionProcessor +from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQueue from invokeai.app.services.urls import LocalUrlService from invokeai.backend.util.logging import InvokeAILogger from invokeai.version.invokeai_version import __version__ @@ -25,6 +29,7 @@ from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsSto from ..services.model_manager_service import ModelManagerService from ..services.processor import DefaultInvocationProcessor from ..services.sqlite import SqliteItemStorage +from ..services.thread import lock from .events import FastAPIEventService @@ -63,22 +68,32 @@ class ApiDependencies: output_folder = config.output_path # TODO: build a file/path manager? - db_path = config.db_path - db_path.parent.mkdir(parents=True, exist_ok=True) - db_location = str(db_path) + if config.use_memory_db: + db_location = ":memory:" + else: + db_path = config.db_path + db_path.parent.mkdir(parents=True, exist_ok=True) + db_location = str(db_path) + + logger.info(f"Using database at {db_location}") + db_conn = sqlite3.connect(db_location, check_same_thread=False) # TODO: figure out a better threading solution + + if config.log_sql: + db_conn.set_trace_callback(print) + db_conn.execute("PRAGMA foreign_keys = ON;") graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=db_location, table_name="graph_executions" + conn=db_conn, table_name="graph_executions", lock=lock ) urls = LocalUrlService() - image_record_storage = SqliteImageRecordStorage(db_location) + image_record_storage = SqliteImageRecordStorage(conn=db_conn, lock=lock) image_file_storage = DiskImageFileStorage(f"{output_folder}/images") names = SimpleNameService() latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents")) - board_record_storage = SqliteBoardRecordStorage(db_location) - board_image_record_storage = SqliteBoardImageRecordStorage(db_location) + board_record_storage = SqliteBoardRecordStorage(conn=db_conn, lock=lock) + board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn, lock=lock) boards = BoardService( services=BoardServiceDependencies( @@ -120,18 +135,29 @@ class ApiDependencies: boards=boards, board_images=board_images, queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, lock=lock, table_name="graphs"), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), configuration=config, performance_statistics=InvocationStatsService(graph_execution_manager), logger=logger, + session_queue=SqliteSessionQueue(conn=db_conn, lock=lock), + session_processor=DefaultSessionProcessor(), + invocation_cache=MemoryInvocationCache(max_cache_size=config.node_cache_size), ) create_system_graphs(services.graph_library) ApiDependencies.invoker = Invoker(services) + try: + lock.acquire() + db_conn.execute("VACUUM;") + db_conn.commit() + logger.info("Cleaned database") + finally: + lock.release() + @staticmethod def shutdown(): if ApiDependencies.invoker: diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py index afa17d5bd7..a98c8edc6a 100644 --- a/invokeai/app/api/routers/app_info.py +++ b/invokeai/app/api/routers/app_info.py @@ -103,3 +103,13 @@ async def set_log_level( """Sets the log verbosity level""" ApiDependencies.invoker.services.logger.setLevel(level) return LogLevel(ApiDependencies.invoker.services.logger.level) + + +@app_router.delete( + "/invocation_cache", + operation_id="clear_invocation_cache", + responses={200: {"description": "The operation was successful"}}, +) +async def clear_invocation_cache() -> None: + """Clears the invocation cache""" + ApiDependencies.invoker.services.invocation_cache.clear() diff --git a/invokeai/app/api/routers/session_queue.py b/invokeai/app/api/routers/session_queue.py new file mode 100644 index 0000000000..fb2c98c9f1 --- /dev/null +++ b/invokeai/app/api/routers/session_queue.py @@ -0,0 +1,247 @@ +from typing import Optional + +from fastapi import Body, Path, Query +from fastapi.routing import APIRouter +from pydantic import BaseModel + +from invokeai.app.services.session_processor.session_processor_common import SessionProcessorStatus +from invokeai.app.services.session_queue.session_queue_common import ( + QUEUE_ITEM_STATUS, + Batch, + BatchStatus, + CancelByBatchIDsResult, + ClearResult, + EnqueueBatchResult, + EnqueueGraphResult, + PruneResult, + SessionQueueItem, + SessionQueueItemDTO, + SessionQueueStatus, +) +from invokeai.app.services.shared.models import CursorPaginatedResults + +from ...services.graph import Graph +from ..dependencies import ApiDependencies + +session_queue_router = APIRouter(prefix="/v1/queue", tags=["queue"]) + + +class SessionQueueAndProcessorStatus(BaseModel): + """The overall status of session queue and processor""" + + queue: SessionQueueStatus + processor: SessionProcessorStatus + + +@session_queue_router.post( + "/{queue_id}/enqueue_graph", + operation_id="enqueue_graph", + responses={ + 201: {"model": EnqueueGraphResult}, + }, +) +async def enqueue_graph( + queue_id: str = Path(description="The queue id to perform this operation on"), + graph: Graph = Body(description="The graph to enqueue"), + prepend: bool = Body(default=False, description="Whether or not to prepend this batch in the queue"), +) -> EnqueueGraphResult: + """Enqueues a graph for single execution.""" + + return ApiDependencies.invoker.services.session_queue.enqueue_graph(queue_id=queue_id, graph=graph, prepend=prepend) + + +@session_queue_router.post( + "/{queue_id}/enqueue_batch", + operation_id="enqueue_batch", + responses={ + 201: {"model": EnqueueBatchResult}, + }, +) +async def enqueue_batch( + queue_id: str = Path(description="The queue id to perform this operation on"), + batch: Batch = Body(description="Batch to process"), + prepend: bool = Body(default=False, description="Whether or not to prepend this batch in the queue"), +) -> EnqueueBatchResult: + """Processes a batch and enqueues the output graphs for execution.""" + + return ApiDependencies.invoker.services.session_queue.enqueue_batch(queue_id=queue_id, batch=batch, prepend=prepend) + + +@session_queue_router.get( + "/{queue_id}/list", + operation_id="list_queue_items", + responses={ + 200: {"model": CursorPaginatedResults[SessionQueueItemDTO]}, + }, +) +async def list_queue_items( + queue_id: str = Path(description="The queue id to perform this operation on"), + limit: int = Query(default=50, description="The number of items to fetch"), + status: Optional[QUEUE_ITEM_STATUS] = Query(default=None, description="The status of items to fetch"), + cursor: Optional[int] = Query(default=None, description="The pagination cursor"), + priority: int = Query(default=0, description="The pagination cursor priority"), +) -> CursorPaginatedResults[SessionQueueItemDTO]: + """Gets all queue items (without graphs)""" + + return ApiDependencies.invoker.services.session_queue.list_queue_items( + queue_id=queue_id, limit=limit, status=status, cursor=cursor, priority=priority + ) + + +@session_queue_router.put( + "/{queue_id}/processor/resume", + operation_id="resume", + responses={200: {"model": SessionProcessorStatus}}, +) +async def resume( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> SessionProcessorStatus: + """Resumes session processor""" + return ApiDependencies.invoker.services.session_processor.resume() + + +@session_queue_router.put( + "/{queue_id}/processor/pause", + operation_id="pause", + responses={200: {"model": SessionProcessorStatus}}, +) +async def Pause( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> SessionProcessorStatus: + """Pauses session processor""" + return ApiDependencies.invoker.services.session_processor.pause() + + +@session_queue_router.put( + "/{queue_id}/cancel_by_batch_ids", + operation_id="cancel_by_batch_ids", + responses={200: {"model": CancelByBatchIDsResult}}, +) +async def cancel_by_batch_ids( + queue_id: str = Path(description="The queue id to perform this operation on"), + batch_ids: list[str] = Body(description="The list of batch_ids to cancel all queue items for", embed=True), +) -> CancelByBatchIDsResult: + """Immediately cancels all queue items from the given batch ids""" + return ApiDependencies.invoker.services.session_queue.cancel_by_batch_ids(queue_id=queue_id, batch_ids=batch_ids) + + +@session_queue_router.put( + "/{queue_id}/clear", + operation_id="clear", + responses={ + 200: {"model": ClearResult}, + }, +) +async def clear( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> ClearResult: + """Clears the queue entirely, immediately canceling the currently-executing session""" + queue_item = ApiDependencies.invoker.services.session_queue.get_current(queue_id) + if queue_item is not None: + ApiDependencies.invoker.services.session_queue.cancel_queue_item(queue_item.item_id) + clear_result = ApiDependencies.invoker.services.session_queue.clear(queue_id) + return clear_result + + +@session_queue_router.put( + "/{queue_id}/prune", + operation_id="prune", + responses={ + 200: {"model": PruneResult}, + }, +) +async def prune( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> PruneResult: + """Prunes all completed or errored queue items""" + return ApiDependencies.invoker.services.session_queue.prune(queue_id) + + +@session_queue_router.get( + "/{queue_id}/current", + operation_id="get_current_queue_item", + responses={ + 200: {"model": Optional[SessionQueueItem]}, + }, +) +async def get_current_queue_item( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> Optional[SessionQueueItem]: + """Gets the currently execution queue item""" + return ApiDependencies.invoker.services.session_queue.get_current(queue_id) + + +@session_queue_router.get( + "/{queue_id}/next", + operation_id="get_next_queue_item", + responses={ + 200: {"model": Optional[SessionQueueItem]}, + }, +) +async def get_next_queue_item( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> Optional[SessionQueueItem]: + """Gets the next queue item, without executing it""" + return ApiDependencies.invoker.services.session_queue.get_next(queue_id) + + +@session_queue_router.get( + "/{queue_id}/status", + operation_id="get_queue_status", + responses={ + 200: {"model": SessionQueueAndProcessorStatus}, + }, +) +async def get_queue_status( + queue_id: str = Path(description="The queue id to perform this operation on"), +) -> SessionQueueAndProcessorStatus: + """Gets the status of the session queue""" + queue = ApiDependencies.invoker.services.session_queue.get_queue_status(queue_id) + processor = ApiDependencies.invoker.services.session_processor.get_status() + return SessionQueueAndProcessorStatus(queue=queue, processor=processor) + + +@session_queue_router.get( + "/{queue_id}/b/{batch_id}/status", + operation_id="get_batch_status", + responses={ + 200: {"model": BatchStatus}, + }, +) +async def get_batch_status( + queue_id: str = Path(description="The queue id to perform this operation on"), + batch_id: str = Path(description="The batch to get the status of"), +) -> BatchStatus: + """Gets the status of the session queue""" + return ApiDependencies.invoker.services.session_queue.get_batch_status(queue_id=queue_id, batch_id=batch_id) + + +@session_queue_router.get( + "/{queue_id}/i/{item_id}", + operation_id="get_queue_item", + responses={ + 200: {"model": SessionQueueItem}, + }, +) +async def get_queue_item( + queue_id: str = Path(description="The queue id to perform this operation on"), + item_id: int = Path(description="The queue item to get"), +) -> SessionQueueItem: + """Gets a queue item""" + return ApiDependencies.invoker.services.session_queue.get_queue_item(item_id) + + +@session_queue_router.put( + "/{queue_id}/i/{item_id}/cancel", + operation_id="cancel_queue_item", + responses={ + 200: {"model": SessionQueueItem}, + }, +) +async def cancel_queue_item( + queue_id: str = Path(description="The queue id to perform this operation on"), + item_id: int = Path(description="The queue item to cancel"), +) -> SessionQueueItem: + """Deletes a queue item""" + + return ApiDependencies.invoker.services.session_queue.cancel_queue_item(item_id) diff --git a/invokeai/app/api/routers/sessions.py b/invokeai/app/api/routers/sessions.py index e950e46e9f..ac6313edce 100644 --- a/invokeai/app/api/routers/sessions.py +++ b/invokeai/app/api/routers/sessions.py @@ -23,12 +23,14 @@ session_router = APIRouter(prefix="/v1/sessions", tags=["sessions"]) 200: {"model": GraphExecutionState}, 400: {"description": "Invalid json"}, }, + deprecated=True, ) async def create_session( - graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with") + queue_id: str = Query(default="", description="The id of the queue to associate the session with"), + graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with"), ) -> GraphExecutionState: """Creates a new session, optionally initializing it with an invocation graph""" - session = ApiDependencies.invoker.create_execution_state(graph) + session = ApiDependencies.invoker.create_execution_state(queue_id=queue_id, graph=graph) return session @@ -36,6 +38,7 @@ async def create_session( "/", operation_id="list_sessions", responses={200: {"model": PaginatedResults[GraphExecutionState]}}, + deprecated=True, ) async def list_sessions( page: int = Query(default=0, description="The page of results to get"), @@ -57,6 +60,7 @@ async def list_sessions( 200: {"model": GraphExecutionState}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def get_session( session_id: str = Path(description="The id of the session to get"), @@ -77,6 +81,7 @@ async def get_session( 400: {"description": "Invalid node or link"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def add_node( session_id: str = Path(description="The id of the session"), @@ -109,6 +114,7 @@ async def add_node( 400: {"description": "Invalid node or link"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def update_node( session_id: str = Path(description="The id of the session"), @@ -142,6 +148,7 @@ async def update_node( 400: {"description": "Invalid node or link"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def delete_node( session_id: str = Path(description="The id of the session"), @@ -172,6 +179,7 @@ async def delete_node( 400: {"description": "Invalid node or link"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def add_edge( session_id: str = Path(description="The id of the session"), @@ -203,6 +211,7 @@ async def add_edge( 400: {"description": "Invalid node or link"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def delete_edge( session_id: str = Path(description="The id of the session"), @@ -241,8 +250,10 @@ async def delete_edge( 400: {"description": "The session has no invocations ready to invoke"}, 404: {"description": "Session not found"}, }, + deprecated=True, ) async def invoke_session( + queue_id: str = Query(description="The id of the queue to associate the session with"), session_id: str = Path(description="The id of the session to invoke"), all: bool = Query(default=False, description="Whether or not to invoke all remaining invocations"), ) -> Response: @@ -254,7 +265,7 @@ async def invoke_session( if session.is_complete(): raise HTTPException(status_code=400) - ApiDependencies.invoker.invoke(session, invoke_all=all) + ApiDependencies.invoker.invoke(queue_id, session, invoke_all=all) return Response(status_code=202) @@ -262,6 +273,7 @@ async def invoke_session( "/{session_id}/invoke", operation_id="cancel_session_invoke", responses={202: {"description": "The invocation is canceled"}}, + deprecated=True, ) async def cancel_session_invoke( session_id: str = Path(description="The id of the session to cancel"), diff --git a/invokeai/app/api/routers/utilities.py b/invokeai/app/api/routers/utilities.py new file mode 100644 index 0000000000..e664cb9070 --- /dev/null +++ b/invokeai/app/api/routers/utilities.py @@ -0,0 +1,41 @@ +from typing import Optional + +from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator +from fastapi import Body +from fastapi.routing import APIRouter +from pydantic import BaseModel +from pyparsing import ParseException + +utilities_router = APIRouter(prefix="/v1/utilities", tags=["utilities"]) + + +class DynamicPromptsResponse(BaseModel): + prompts: list[str] + error: Optional[str] = None + + +@utilities_router.post( + "/dynamicprompts", + operation_id="parse_dynamicprompts", + responses={ + 200: {"model": DynamicPromptsResponse}, + }, +) +async def parse_dynamicprompts( + prompt: str = Body(description="The prompt to parse with dynamicprompts"), + max_prompts: int = Body(default=1000, description="The max number of prompts to generate"), + combinatorial: bool = Body(default=True, description="Whether to use the combinatorial generator"), +) -> DynamicPromptsResponse: + """Creates a batch process""" + try: + error: Optional[str] = None + if combinatorial: + generator = CombinatorialPromptGenerator() + prompts = generator.generate(prompt, max_prompts=max_prompts) + else: + generator = RandomPromptGenerator() + prompts = generator.generate(prompt, num_images=max_prompts) + except ParseException as e: + prompts = [prompt] + error = str(e) + return DynamicPromptsResponse(prompts=prompts if prompts else [""], error=error) diff --git a/invokeai/app/api/sockets.py b/invokeai/app/api/sockets.py index 4591bac540..20fa6606bd 100644 --- a/invokeai/app/api/sockets.py +++ b/invokeai/app/api/sockets.py @@ -13,24 +13,22 @@ class SocketIO: def __init__(self, app: FastAPI): self.__sio = SocketManager(app=app) - self.__sio.on("subscribe", handler=self._handle_sub) - self.__sio.on("unsubscribe", handler=self._handle_unsub) - local_handler.register(event_name=EventServiceBase.session_event, _func=self._handle_session_event) + self.__sio.on("subscribe_queue", handler=self._handle_sub_queue) + self.__sio.on("unsubscribe_queue", handler=self._handle_unsub_queue) + local_handler.register(event_name=EventServiceBase.queue_event, _func=self._handle_queue_event) - async def _handle_session_event(self, event: Event): + async def _handle_queue_event(self, event: Event): await self.__sio.emit( event=event[1]["event"], data=event[1]["data"], - room=event[1]["data"]["graph_execution_state_id"], + room=event[1]["data"]["queue_id"], ) - async def _handle_sub(self, sid, data, *args, **kwargs): - if "session" in data: - self.__sio.enter_room(sid, data["session"]) + async def _handle_sub_queue(self, sid, data, *args, **kwargs): + if "queue_id" in data: + self.__sio.enter_room(sid, data["queue_id"]) - # @app.sio.on('unsubscribe') - - async def _handle_unsub(self, sid, data, *args, **kwargs): - if "session" in data: - self.__sio.leave_room(sid, data["session"]) + async def _handle_unsub_queue(self, sid, data, *args, **kwargs): + if "queue_id" in data: + self.__sio.enter_room(sid, data["queue_id"]) diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py index 93f02b3446..c93197d1bf 100644 --- a/invokeai/app/api_app.py +++ b/invokeai/app/api_app.py @@ -1,4 +1,3 @@ -# Copyright (c) 2022-2023 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team from .services.config import InvokeAIAppConfig # parse_args() must be called before any other imports. if it is not called first, consumers of the config @@ -33,7 +32,7 @@ if True: # hack to make flake8 happy with imports coming after setting up the c from ..backend.util.logging import InvokeAILogger from .api.dependencies import ApiDependencies - from .api.routers import app_info, board_images, boards, images, models, sessions + from .api.routers import app_info, board_images, boards, images, models, session_queue, sessions, utilities from .api.sockets import SocketIO from .invocations.baseinvocation import BaseInvocation, UIConfigBase, _InputField, _OutputField @@ -92,6 +91,8 @@ async def shutdown_event(): app.include_router(sessions.session_router, prefix="/api") +app.include_router(utilities.utilities_router, prefix="/api") + app.include_router(models.models_router, prefix="/api") app.include_router(images.images_router, prefix="/api") @@ -102,6 +103,8 @@ app.include_router(board_images.board_images_router, prefix="/api") app.include_router(app_info.app_router, prefix="/api") +app.include_router(session_queue.session_queue_router, prefix="/api") + # Build a custom OpenAPI to include all outputs # TODO: can outputs be included on metadata of invocation schemas somehow? diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py index 3b8410a88e..dc59954e9b 100644 --- a/invokeai/app/cli_app.py +++ b/invokeai/app/cli_app.py @@ -1,4 +1,6 @@ -# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) +# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team + +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache from .services.config import InvokeAIAppConfig @@ -12,6 +14,7 @@ if True: # hack to make flake8 happy with imports coming after setting up the c import argparse import re import shlex + import sqlite3 import sys import time from typing import Optional, Union, get_type_hints @@ -249,19 +252,18 @@ def invoke_cli(): db_location = config.db_path db_location.parent.mkdir(parents=True, exist_ok=True) + db_conn = sqlite3.connect(db_location, check_same_thread=False) # TODO: figure out a better threading solution logger.info(f'InvokeAI database location is "{db_location}"') - graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=db_location, table_name="graph_executions" - ) + graph_execution_manager = SqliteItemStorage[GraphExecutionState](conn=db_conn, table_name="graph_executions") urls = LocalUrlService() - image_record_storage = SqliteImageRecordStorage(db_location) + image_record_storage = SqliteImageRecordStorage(conn=db_conn) image_file_storage = DiskImageFileStorage(f"{output_folder}/images") names = SimpleNameService() - board_record_storage = SqliteBoardRecordStorage(db_location) - board_image_record_storage = SqliteBoardImageRecordStorage(db_location) + board_record_storage = SqliteBoardRecordStorage(conn=db_conn) + board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn) boards = BoardService( services=BoardServiceDependencies( @@ -303,12 +305,13 @@ def invoke_cli(): boards=boards, board_images=board_images, queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs"), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), performance_statistics=InvocationStatsService(graph_execution_manager), logger=logger, configuration=config, + invocation_cache=MemoryInvocationCache(max_cache_size=config.node_cache_size), ) system_graphs = create_system_graphs(services.graph_library) diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py index 9fbd920dd2..97bd29ff17 100644 --- a/invokeai/app/invocations/baseinvocation.py +++ b/invokeai/app/invocations/baseinvocation.py @@ -67,6 +67,7 @@ class FieldDescriptions: width = "Width of output (px)" height = "Height of output (px)" control = "ControlNet(s) to apply" + ip_adapter = "IP-Adapter to apply" denoised_latents = "Denoised latents tensor" latents = "Latents tensor" strength = "Strength of denoising (proportional to steps)" @@ -155,6 +156,7 @@ class UIType(str, Enum): VaeModel = "VaeModelField" LoRAModel = "LoRAModelField" ControlNetModel = "ControlNetModelField" + IPAdapterModel = "IPAdapterModelField" UNet = "UNetField" Vae = "VaeField" CLIP = "ClipField" @@ -417,12 +419,27 @@ class UIConfigBase(BaseModel): class InvocationContext: + """Initialized and provided to on execution of invocations.""" + services: InvocationServices graph_execution_state_id: str + queue_id: str + queue_item_id: int + queue_batch_id: str - def __init__(self, services: InvocationServices, graph_execution_state_id: str): + def __init__( + self, + services: InvocationServices, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, + graph_execution_state_id: str, + ): self.services = services self.graph_execution_state_id = graph_execution_state_id + self.queue_id = queue_id + self.queue_item_id = queue_item_id + self.queue_batch_id = queue_batch_id class BaseInvocationOutput(BaseModel): @@ -520,6 +537,9 @@ class BaseInvocation(ABC, BaseModel): return signature(cls.invoke).return_annotation class Config: + validate_assignment = True + validate_all = True + @staticmethod def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None: uiconfig = getattr(model_class, "UIConfig", None) @@ -568,7 +588,29 @@ class BaseInvocation(ABC, BaseModel): raise RequiredConnectionException(self.__fields__["type"].default, field_name) elif _input == Input.Any: raise MissingInputException(self.__fields__["type"].default, field_name) - return self.invoke(context) + + # skip node cache codepath if it's disabled + if context.services.configuration.node_cache_size == 0: + return self.invoke(context) + + output: BaseInvocationOutput + if self.use_cache: + key = context.services.invocation_cache.create_key(self) + cached_value = context.services.invocation_cache.get(key) + if cached_value is None: + context.services.logger.debug(f'Invocation cache miss for type "{self.get_type()}": {self.id}') + output = self.invoke(context) + context.services.invocation_cache.save(key, output) + return output + else: + context.services.logger.debug(f'Invocation cache hit for type "{self.get_type()}": {self.id}') + return cached_value + else: + context.services.logger.debug(f'Skipping invocation cache for "{self.get_type()}": {self.id}') + return self.invoke(context) + + def get_type(self) -> str: + return self.__fields__["type"].default id: str = Field( description="The id of this instance of an invocation. Must be unique among all instances of invocations." @@ -581,6 +623,7 @@ class BaseInvocation(ABC, BaseModel): description="The workflow to save with the image", ui_type=UIType.WorkflowField, ) + use_cache: bool = InputField(default=True, description="Whether or not to use the cache") @validator("workflow", pre=True) def validate_workflow_is_json(cls, v): @@ -604,6 +647,7 @@ def invocation( tags: Optional[list[str]] = None, category: Optional[str] = None, version: Optional[str] = None, + use_cache: Optional[bool] = True, ) -> Callable[[Type[GenericBaseInvocation]], Type[GenericBaseInvocation]]: """ Adds metadata to an invocation. @@ -636,6 +680,8 @@ def invocation( except ValueError as e: raise InvalidVersionError(f'Invalid version string for node "{invocation_type}": "{version}"') from e cls.UIConfig.version = version + if use_cache is not None: + cls.__fields__["use_cache"].default = use_cache # Add the invocation type to the pydantic model of the invocation invocation_type_annotation = Literal[invocation_type] # type: ignore diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py index 702eb99831..83863422f8 100644 --- a/invokeai/app/invocations/collections.py +++ b/invokeai/app/invocations/collections.py @@ -56,6 +56,7 @@ class RangeOfSizeInvocation(BaseInvocation): tags=["range", "integer", "random", "collection"], category="collections", version="1.0.0", + use_cache=False, ) class RandomRangeInvocation(BaseInvocation): """Creates a collection of random numbers""" diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py index 3fdbf9b6e9..b2634c2c56 100644 --- a/invokeai/app/invocations/compel.py +++ b/invokeai/app/invocations/compel.py @@ -7,14 +7,14 @@ from compel import Compel, ReturnedEmbeddingsType from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput -from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import ( +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ( BasicConditioningInfo, + ExtraConditioningInfo, SDXLConditioningInfo, ) from ...backend.model_management.lora import ModelPatcher from ...backend.model_management.models import ModelNotFoundException, ModelType -from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent from ...backend.util.devices import torch_dtype from .baseinvocation import ( BaseInvocation, @@ -99,14 +99,15 @@ class CompelInvocation(BaseInvocation): # print(traceback.format_exc()) print(f'Warn: trigger: "{trigger}" not found') - with ModelPatcher.apply_lora_text_encoder( - text_encoder_info.context.model, _lora_loader() - ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as ( - tokenizer, - ti_manager, - ), ModelPatcher.apply_clip_skip( - text_encoder_info.context.model, self.clip.skipped_layers - ), text_encoder_info as text_encoder: + with ( + ModelPatcher.apply_lora_text_encoder(text_encoder_info.context.model, _lora_loader()), + ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as ( + tokenizer, + ti_manager, + ), + ModelPatcher.apply_clip_skip(text_encoder_info.context.model, self.clip.skipped_layers), + text_encoder_info as text_encoder, + ): compel = Compel( tokenizer=tokenizer, text_encoder=text_encoder, @@ -122,7 +123,7 @@ class CompelInvocation(BaseInvocation): c, options = compel.build_conditioning_tensor_for_conjunction(conjunction) - ec = InvokeAIDiffuserComponent.ExtraConditioningInfo( + ec = ExtraConditioningInfo( tokens_count_including_eos_bos=get_max_token_count(tokenizer, conjunction), cross_attention_control_args=options.get("cross_attention_control", None), ) @@ -213,14 +214,15 @@ class SDXLPromptInvocationBase: # print(traceback.format_exc()) print(f'Warn: trigger: "{trigger}" not found') - with ModelPatcher.apply_lora( - text_encoder_info.context.model, _lora_loader(), lora_prefix - ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as ( - tokenizer, - ti_manager, - ), ModelPatcher.apply_clip_skip( - text_encoder_info.context.model, clip_field.skipped_layers - ), text_encoder_info as text_encoder: + with ( + ModelPatcher.apply_lora(text_encoder_info.context.model, _lora_loader(), lora_prefix), + ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as ( + tokenizer, + ti_manager, + ), + ModelPatcher.apply_clip_skip(text_encoder_info.context.model, clip_field.skipped_layers), + text_encoder_info as text_encoder, + ): compel = Compel( tokenizer=tokenizer, text_encoder=text_encoder, @@ -244,7 +246,7 @@ class SDXLPromptInvocationBase: else: c_pooled = None - ec = InvokeAIDiffuserComponent.ExtraConditioningInfo( + ec = ExtraConditioningInfo( tokens_count_including_eos_bos=get_max_token_count(tokenizer, conjunction), cross_attention_control_args=options.get("cross_attention_control", None), ) @@ -436,9 +438,11 @@ def get_tokens_for_prompt_object(tokenizer, parsed_prompt: FlattenedPrompt, trun raise ValueError("Blend is not supported here - you need to get tokens for each of its .children") text_fragments = [ - x.text - if type(x) is Fragment - else (" ".join([f.text for f in x.original]) if type(x) is CrossAttentionControlSubstitute else str(x)) + ( + x.text + if type(x) is Fragment + else (" ".join([f.text for f in x.original]) if type(x) is CrossAttentionControlSubstitute else str(x)) + ) for x in parsed_prompt.children ] text = " ".join(text_fragments) diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py index 11e5fc90a0..0403fa71e3 100644 --- a/invokeai/app/invocations/image.py +++ b/invokeai/app/invocations/image.py @@ -965,3 +965,42 @@ class ImageChannelMultiplyInvocation(BaseInvocation): width=image_dto.width, height=image_dto.height, ) + + +@invocation( + "save_image", + title="Save Image", + tags=["primitives", "image"], + category="primitives", + version="1.0.0", + use_cache=False, +) +class SaveImageInvocation(BaseInvocation): + """Saves an image. Unlike an image primitive, this invocation stores a copy of the image.""" + + image: ImageField = InputField(description="The image to load") + metadata: CoreMetadata = InputField( + default=None, + description=FieldDescriptions.core_metadata, + ui_hidden=True, + ) + + def invoke(self, context: InvocationContext) -> ImageOutput: + image = context.services.images.get_pil_image(self.image.image_name) + + 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, + workflow=self.workflow, + ) + + return ImageOutput( + image=ImageField(image_name=image_dto.image_name), + width=image_dto.width, + height=image_dto.height, + ) diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py new file mode 100644 index 0000000000..0c5b858112 --- /dev/null +++ b/invokeai/app/invocations/ip_adapter.py @@ -0,0 +1,105 @@ +import os +from builtins import float +from typing import List, Union + +from pydantic import BaseModel, Field + +from invokeai.app.invocations.baseinvocation import ( + BaseInvocation, + BaseInvocationOutput, + FieldDescriptions, + Input, + InputField, + InvocationContext, + OutputField, + UIType, + invocation, + invocation_output, +) +from invokeai.app.invocations.primitives import ImageField +from invokeai.backend.model_management.models.base import BaseModelType, ModelType +from invokeai.backend.model_management.models.ip_adapter import get_ip_adapter_image_encoder_model_id + + +class IPAdapterModelField(BaseModel): + model_name: str = Field(description="Name of the IP-Adapter model") + base_model: BaseModelType = Field(description="Base model") + + +class CLIPVisionModelField(BaseModel): + model_name: str = Field(description="Name of the CLIP Vision image encoder model") + base_model: BaseModelType = Field(description="Base model (usually 'Any')") + + +class IPAdapterField(BaseModel): + image: ImageField = Field(description="The IP-Adapter image prompt.") + ip_adapter_model: IPAdapterModelField = Field(description="The IP-Adapter model to use.") + image_encoder_model: CLIPVisionModelField = Field(description="The name of the CLIP image encoder model.") + weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet") + # weight: float = Field(default=1.0, ge=0, description="The weight of the IP-Adapter.") + begin_step_percent: float = Field( + default=0, ge=0, le=1, description="When the IP-Adapter is first applied (% of total steps)" + ) + end_step_percent: float = Field( + default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)" + ) + + +@invocation_output("ip_adapter_output") +class IPAdapterOutput(BaseInvocationOutput): + # Outputs + ip_adapter: IPAdapterField = OutputField(description=FieldDescriptions.ip_adapter, title="IP-Adapter") + + +@invocation("ip_adapter", title="IP-Adapter", tags=["ip_adapter", "control"], category="ip_adapter", version="1.0.0") +class IPAdapterInvocation(BaseInvocation): + """Collects IP-Adapter info to pass to other nodes.""" + + # Inputs + image: ImageField = InputField(description="The IP-Adapter image prompt.") + ip_adapter_model: IPAdapterModelField = InputField( + description="The IP-Adapter model.", + title="IP-Adapter Model", + input=Input.Direct, + ) + + # weight: float = InputField(default=1.0, description="The weight of the IP-Adapter.", ui_type=UIType.Float) + weight: Union[float, List[float]] = InputField( + default=1, ge=0, description="The weight given to the IP-Adapter", ui_type=UIType.Float, title="Weight" + ) + + begin_step_percent: float = InputField( + default=0, ge=-1, le=2, description="When the IP-Adapter is first applied (% of total steps)" + ) + end_step_percent: float = InputField( + default=1, ge=0, le=1, description="When the IP-Adapter is last applied (% of total steps)" + ) + + def invoke(self, context: InvocationContext) -> IPAdapterOutput: + # Lookup the CLIP Vision encoder that is intended to be used with the IP-Adapter model. + ip_adapter_info = context.services.model_manager.model_info( + self.ip_adapter_model.model_name, self.ip_adapter_model.base_model, ModelType.IPAdapter + ) + # HACK(ryand): This is bad for a couple of reasons: 1) we are bypassing the model manager to read the model + # directly, and 2) we are reading from disk every time this invocation is called without caching the result. + # A better solution would be to store the image encoder model reference in the IP-Adapter model info, but this + # is currently messy due to differences between how the model info is generated when installing a model from + # disk vs. downloading the model. + image_encoder_model_id = get_ip_adapter_image_encoder_model_id( + os.path.join(context.services.configuration.get_config().models_path, ip_adapter_info["path"]) + ) + image_encoder_model_name = image_encoder_model_id.split("/")[-1].strip() + image_encoder_model = CLIPVisionModelField( + model_name=image_encoder_model_name, + base_model=BaseModelType.Any, + ) + return IPAdapterOutput( + ip_adapter=IPAdapterField( + image=self.image, + ip_adapter_model=self.ip_adapter_model, + image_encoder_model=image_encoder_model, + weight=self.weight, + begin_step_percent=self.begin_step_percent, + end_step_percent=self.end_step_percent, + ), + ) diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py index 5c7a9d1e7c..6c7f3da366 100644 --- a/invokeai/app/invocations/latent.py +++ b/invokeai/app/invocations/latent.py @@ -10,6 +10,7 @@ import torch import torchvision.transforms as T from diffusers import AutoencoderKL, AutoencoderTiny from diffusers.image_processor import VaeImageProcessor +from diffusers.models import UNet2DConditionModel from diffusers.models.attention_processor import ( AttnProcessor2_0, LoRAAttnProcessor2_0, @@ -21,6 +22,7 @@ from diffusers.schedulers import SchedulerMixin as Scheduler from pydantic import validator from torchvision.transforms.functional import resize as tv_resize +from invokeai.app.invocations.ip_adapter import IPAdapterField from invokeai.app.invocations.metadata import CoreMetadata from invokeai.app.invocations.primitives import ( DenoiseMaskField, @@ -33,15 +35,17 @@ from invokeai.app.invocations.primitives import ( ) from invokeai.app.util.controlnet_utils import prepare_control_image from invokeai.app.util.step_callback import stable_diffusion_step_callback +from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus from invokeai.backend.model_management.models import ModelType, SilenceWarnings +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData, IPAdapterConditioningInfo from ...backend.model_management.lora import ModelPatcher from ...backend.model_management.models import BaseModelType from ...backend.model_management.seamless import set_seamless from ...backend.stable_diffusion import PipelineIntermediateState from ...backend.stable_diffusion.diffusers_pipeline import ( - ConditioningData, ControlNetData, + IPAdapterData, StableDiffusionGeneratorPipeline, image_resized_to_grid_as_tensor, ) @@ -70,7 +74,6 @@ if choose_torch_device() == torch.device("mps"): DEFAULT_PRECISION = choose_precision(choose_torch_device()) - SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))] @@ -193,7 +196,7 @@ def get_scheduler( title="Denoise Latents", tags=["latents", "denoise", "txt2img", "t2i", "t2l", "img2img", "i2i", "l2l"], category="latents", - version="1.0.0", + version="1.1.0", ) class DenoiseLatentsInvocation(BaseInvocation): """Denoises noisy latents to decodable images""" @@ -221,9 +224,12 @@ class DenoiseLatentsInvocation(BaseInvocation): input=Input.Connection, ui_order=5, ) + ip_adapter: Optional[IPAdapterField] = InputField( + description=FieldDescriptions.ip_adapter, title="IP-Adapter", default=None, input=Input.Connection, ui_order=6 + ) latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection) denoise_mask: Optional[DenoiseMaskField] = InputField( - default=None, description=FieldDescriptions.mask, input=Input.Connection, ui_order=6 + default=None, description=FieldDescriptions.mask, input=Input.Connection, ui_order=7 ) @validator("cfg_scale") @@ -325,8 +331,6 @@ class DenoiseLatentsInvocation(BaseInvocation): def prep_control_data( self, context: InvocationContext, - # really only need model for dtype and device - model: StableDiffusionGeneratorPipeline, control_input: Union[ControlField, List[ControlField]], latents_shape: List[int], exit_stack: ExitStack, @@ -346,57 +350,107 @@ class DenoiseLatentsInvocation(BaseInvocation): else: control_list = None if control_list is None: - control_data = None - # from above handling, any control that is not None should now be of type list[ControlField] - else: - # FIXME: add checks to skip entry if model or image is None - # and if weight is None, populate with default 1.0? - control_data = [] - control_models = [] - for control_info in control_list: - control_model = exit_stack.enter_context( - context.services.model_manager.get_model( - model_name=control_info.control_model.model_name, - model_type=ModelType.ControlNet, - base_model=control_info.control_model.base_model, - context=context, - ) - ) + return None + # After above handling, any control that is not None should now be of type list[ControlField]. - control_models.append(control_model) - control_image_field = control_info.image - input_image = context.services.images.get_pil_image(control_image_field.image_name) - # self.image.image_type, self.image.image_name - # FIXME: still need to test with different widths, heights, devices, dtypes - # and add in batch_size, num_images_per_prompt? - # and do real check for classifier_free_guidance? - # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width) - control_image = prepare_control_image( - image=input_image, - do_classifier_free_guidance=do_classifier_free_guidance, - width=control_width_resize, - height=control_height_resize, - # batch_size=batch_size * num_images_per_prompt, - # num_images_per_prompt=num_images_per_prompt, - device=control_model.device, - dtype=control_model.dtype, - control_mode=control_info.control_mode, - resize_mode=control_info.resize_mode, + # FIXME: add checks to skip entry if model or image is None + # and if weight is None, populate with default 1.0? + controlnet_data = [] + for control_info in control_list: + control_model = exit_stack.enter_context( + context.services.model_manager.get_model( + model_name=control_info.control_model.model_name, + model_type=ModelType.ControlNet, + base_model=control_info.control_model.base_model, + context=context, ) - control_item = ControlNetData( - model=control_model, - image_tensor=control_image, - weight=control_info.control_weight, - begin_step_percent=control_info.begin_step_percent, - end_step_percent=control_info.end_step_percent, - control_mode=control_info.control_mode, - # any resizing needed should currently be happening in prepare_control_image(), - # but adding resize_mode to ControlNetData in case needed in the future - resize_mode=control_info.resize_mode, - ) - control_data.append(control_item) - # MultiControlNetModel has been refactored out, just need list[ControlNetData] - return control_data + ) + + # control_models.append(control_model) + control_image_field = control_info.image + input_image = context.services.images.get_pil_image(control_image_field.image_name) + # self.image.image_type, self.image.image_name + # FIXME: still need to test with different widths, heights, devices, dtypes + # and add in batch_size, num_images_per_prompt? + # and do real check for classifier_free_guidance? + # prepare_control_image should return torch.Tensor of shape(batch_size, 3, height, width) + control_image = prepare_control_image( + image=input_image, + do_classifier_free_guidance=do_classifier_free_guidance, + width=control_width_resize, + height=control_height_resize, + # batch_size=batch_size * num_images_per_prompt, + # num_images_per_prompt=num_images_per_prompt, + device=control_model.device, + dtype=control_model.dtype, + control_mode=control_info.control_mode, + resize_mode=control_info.resize_mode, + ) + control_item = ControlNetData( + model=control_model, # model object + image_tensor=control_image, + weight=control_info.control_weight, + begin_step_percent=control_info.begin_step_percent, + end_step_percent=control_info.end_step_percent, + control_mode=control_info.control_mode, + # any resizing needed should currently be happening in prepare_control_image(), + # but adding resize_mode to ControlNetData in case needed in the future + resize_mode=control_info.resize_mode, + ) + controlnet_data.append(control_item) + # MultiControlNetModel has been refactored out, just need list[ControlNetData] + + return controlnet_data + + def prep_ip_adapter_data( + self, + context: InvocationContext, + ip_adapter: Optional[IPAdapterField], + conditioning_data: ConditioningData, + unet: UNet2DConditionModel, + exit_stack: ExitStack, + ) -> Optional[IPAdapterData]: + """If IP-Adapter is enabled, then this function loads the requisite models, and adds the image prompt embeddings + to the `conditioning_data` (in-place). + """ + if ip_adapter is None: + return None + + image_encoder_model_info = context.services.model_manager.get_model( + model_name=ip_adapter.image_encoder_model.model_name, + model_type=ModelType.CLIPVision, + base_model=ip_adapter.image_encoder_model.base_model, + context=context, + ) + + ip_adapter_model: Union[IPAdapter, IPAdapterPlus] = exit_stack.enter_context( + context.services.model_manager.get_model( + model_name=ip_adapter.ip_adapter_model.model_name, + model_type=ModelType.IPAdapter, + base_model=ip_adapter.ip_adapter_model.base_model, + context=context, + ) + ) + + input_image = context.services.images.get_pil_image(ip_adapter.image.image_name) + + # TODO(ryand): With some effort, the step of running the CLIP Vision encoder could be done before any other + # models are needed in memory. This would help to reduce peak memory utilization in low-memory environments. + with image_encoder_model_info as image_encoder_model: + # Get image embeddings from CLIP and ImageProjModel. + image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_model.get_image_embeds( + input_image, image_encoder_model + ) + conditioning_data.ip_adapter_conditioning = IPAdapterConditioningInfo( + image_prompt_embeds, uncond_image_prompt_embeds + ) + + return IPAdapterData( + ip_adapter_model=ip_adapter_model, + weight=ip_adapter.weight, + begin_step_percent=ip_adapter.begin_step_percent, + end_step_percent=ip_adapter.end_step_percent, + ) # original idea by https://github.com/AmericanPresidentJimmyCarter # TODO: research more for second order schedulers timesteps @@ -490,9 +544,12 @@ class DenoiseLatentsInvocation(BaseInvocation): **self.unet.unet.dict(), context=context, ) - with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet( - unet_info.context.model, _lora_loader() - ), set_seamless(unet_info.context.model, self.unet.seamless_axes), unet_info as unet: + with ( + ExitStack() as exit_stack, + ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), + set_seamless(unet_info.context.model, self.unet.seamless_axes), + unet_info as unet, + ): latents = latents.to(device=unet.device, dtype=unet.dtype) if noise is not None: noise = noise.to(device=unet.device, dtype=unet.dtype) @@ -511,8 +568,7 @@ class DenoiseLatentsInvocation(BaseInvocation): pipeline = self.create_pipeline(unet, scheduler) conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed) - control_data = self.prep_control_data( - model=pipeline, + controlnet_data = self.prep_control_data( context=context, control_input=self.control, latents_shape=latents.shape, @@ -521,6 +577,14 @@ class DenoiseLatentsInvocation(BaseInvocation): exit_stack=exit_stack, ) + ip_adapter_data = self.prep_ip_adapter_data( + context=context, + ip_adapter=self.ip_adapter, + conditioning_data=conditioning_data, + unet=unet, + exit_stack=exit_stack, + ) + num_inference_steps, timesteps, init_timestep = self.init_scheduler( scheduler, device=unet.device, @@ -539,7 +603,8 @@ class DenoiseLatentsInvocation(BaseInvocation): masked_latents=masked_latents, num_inference_steps=num_inference_steps, conditioning_data=conditioning_data, - control_data=control_data, # list[ControlNetData] + control_data=controlnet_data, # list[ControlNetData], + ip_adapter_data=ip_adapter_data, # IPAdapterData, callback=step_callback, ) diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py index ac15146478..3cdd43fb59 100644 --- a/invokeai/app/invocations/math.py +++ b/invokeai/app/invocations/math.py @@ -54,7 +54,14 @@ class DivideInvocation(BaseInvocation): return IntegerOutput(value=int(self.a / self.b)) -@invocation("rand_int", title="Random Integer", tags=["math", "random"], category="math", version="1.0.0") +@invocation( + "rand_int", + title="Random Integer", + tags=["math", "random"], + category="math", + version="1.0.0", + use_cache=False, +) class RandomIntInvocation(BaseInvocation): """Outputs a single random integer.""" diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py index 213ce82a75..4c7fab44d8 100644 --- a/invokeai/app/invocations/onnx.py +++ b/invokeai/app/invocations/onnx.py @@ -95,9 +95,10 @@ class ONNXPromptInvocation(BaseInvocation): print(f'Warn: trigger: "{trigger}" not found') if loras or ti_list: text_encoder.release_session() - with ONNXModelPatcher.apply_lora_text_encoder(text_encoder, loras), ONNXModelPatcher.apply_ti( - orig_tokenizer, text_encoder, ti_list - ) as (tokenizer, ti_manager): + with ( + ONNXModelPatcher.apply_lora_text_encoder(text_encoder, loras), + ONNXModelPatcher.apply_ti(orig_tokenizer, text_encoder, ti_list) as (tokenizer, ti_manager), + ): text_encoder.create_session() # copy from diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py index 69ce1dba49..b3d482b779 100644 --- a/invokeai/app/invocations/prompt.py +++ b/invokeai/app/invocations/prompt.py @@ -10,7 +10,14 @@ from invokeai.app.invocations.primitives import StringCollectionOutput from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, invocation -@invocation("dynamic_prompt", title="Dynamic Prompt", tags=["prompt", "collection"], category="prompt", version="1.0.0") +@invocation( + "dynamic_prompt", + title="Dynamic Prompt", + tags=["prompt", "collection"], + category="prompt", + version="1.0.0", + use_cache=False, +) class DynamicPromptInvocation(BaseInvocation): """Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator""" diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py index d35f9f2179..c4d06ec131 100644 --- a/invokeai/app/services/board_image_record_storage.py +++ b/invokeai/app/services/board_image_record_storage.py @@ -53,24 +53,20 @@ class BoardImageRecordStorageBase(ABC): class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase): - _filename: str _conn: sqlite3.Connection _cursor: sqlite3.Cursor _lock: threading.Lock - def __init__(self, filename: str) -> None: + def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None: super().__init__() - self._filename = filename - self._conn = sqlite3.connect(filename, check_same_thread=False) + self._conn = conn # Enable row factory to get rows as dictionaries (must be done before making the cursor!) self._conn.row_factory = sqlite3.Row self._cursor = self._conn.cursor() - self._lock = threading.Lock() + self._lock = lock try: self._lock.acquire() - # Enable foreign keys - self._conn.execute("PRAGMA foreign_keys = ON;") self._create_tables() self._conn.commit() finally: diff --git a/invokeai/app/services/board_record_storage.py b/invokeai/app/services/board_record_storage.py index f4876b6935..c12a9c8eea 100644 --- a/invokeai/app/services/board_record_storage.py +++ b/invokeai/app/services/board_record_storage.py @@ -1,6 +1,5 @@ import sqlite3 import threading -import uuid from abc import ABC, abstractmethod from typing import Optional, Union, cast @@ -8,6 +7,7 @@ from pydantic import BaseModel, Extra, Field from invokeai.app.services.image_record_storage import OffsetPaginatedResults from invokeai.app.services.models.board_record import BoardRecord, deserialize_board_record +from invokeai.app.util.misc import uuid_string class BoardChanges(BaseModel, extra=Extra.forbid): @@ -87,24 +87,20 @@ class BoardRecordStorageBase(ABC): class SqliteBoardRecordStorage(BoardRecordStorageBase): - _filename: str _conn: sqlite3.Connection _cursor: sqlite3.Cursor _lock: threading.Lock - def __init__(self, filename: str) -> None: + def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None: super().__init__() - self._filename = filename - self._conn = sqlite3.connect(filename, check_same_thread=False) + self._conn = conn # Enable row factory to get rows as dictionaries (must be done before making the cursor!) self._conn.row_factory = sqlite3.Row self._cursor = self._conn.cursor() - self._lock = threading.Lock() + self._lock = lock try: self._lock.acquire() - # Enable foreign keys - self._conn.execute("PRAGMA foreign_keys = ON;") self._create_tables() self._conn.commit() finally: @@ -174,7 +170,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase): board_name: str, ) -> BoardRecord: try: - board_id = str(uuid.uuid4()) + board_id = uuid_string() self._lock.acquire() self._cursor.execute( """--sql diff --git a/invokeai/app/services/config/base.py b/invokeai/app/services/config/base.py index 02c6f15140..f24879af05 100644 --- a/invokeai/app/services/config/base.py +++ b/invokeai/app/services/config/base.py @@ -16,7 +16,7 @@ import pydoc import sys from argparse import ArgumentParser from pathlib import Path -from typing import ClassVar, Dict, List, Literal, Union, get_args, get_origin, get_type_hints +from typing import ClassVar, Dict, List, Literal, Optional, Union, get_args, get_origin, get_type_hints from omegaconf import DictConfig, ListConfig, OmegaConf from pydantic import BaseSettings @@ -39,10 +39,10 @@ class InvokeAISettings(BaseSettings): read from an omegaconf .yaml file. """ - initconf: ClassVar[DictConfig] = None + initconf: ClassVar[Optional[DictConfig]] = None argparse_groups: ClassVar[Dict] = {} - def parse_args(self, argv: list = sys.argv[1:]): + def parse_args(self, argv: Optional[list] = sys.argv[1:]): parser = self.get_parser() opt, unknown_opts = parser.parse_known_args(argv) if len(unknown_opts) > 0: @@ -83,7 +83,8 @@ class InvokeAISettings(BaseSettings): else: settings_stanza = "Uncategorized" - env_prefix = cls.Config.env_prefix if hasattr(cls.Config, "env_prefix") else settings_stanza.upper() + env_prefix = getattr(cls.Config, "env_prefix", None) + env_prefix = env_prefix if env_prefix is not None else settings_stanza.upper() initconf = ( cls.initconf.get(settings_stanza) @@ -116,8 +117,8 @@ class InvokeAISettings(BaseSettings): field.default = current_default @classmethod - def cmd_name(self, command_field: str = "type") -> str: - hints = get_type_hints(self) + def cmd_name(cls, command_field: str = "type") -> str: + hints = get_type_hints(cls) if command_field in hints: return get_args(hints[command_field])[0] else: @@ -133,16 +134,12 @@ class InvokeAISettings(BaseSettings): return parser @classmethod - def add_subparser(cls, parser: argparse.ArgumentParser): - parser.add_parser(cls.cmd_name(), help=cls.__doc__) - - @classmethod - def _excluded(self) -> List[str]: + def _excluded(cls) -> List[str]: # internal fields that shouldn't be exposed as command line options return ["type", "initconf"] @classmethod - def _excluded_from_yaml(self) -> List[str]: + def _excluded_from_yaml(cls) -> List[str]: # combination of deprecated parameters and internal ones that shouldn't be exposed as invokeai.yaml options return [ "type", diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/invokeai_config.py index 237aec5205..65bf9b9eba 100644 --- a/invokeai/app/services/config/invokeai_config.py +++ b/invokeai/app/services/config/invokeai_config.py @@ -194,8 +194,8 @@ class InvokeAIAppConfig(InvokeAISettings): setting environment variables INVOKEAI_. """ - singleton_config: ClassVar[InvokeAIAppConfig] = None - singleton_init: ClassVar[Dict] = None + singleton_config: ClassVar[Optional[InvokeAIAppConfig]] = None + singleton_init: ClassVar[Optional[Dict]] = None # fmt: off type: Literal["InvokeAI"] = "InvokeAI" @@ -234,6 +234,7 @@ class InvokeAIAppConfig(InvokeAISettings): # note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues log_format : Literal['plain', 'color', 'syslog', 'legacy'] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging") log_level : Literal["debug", "info", "warning", "error", "critical"] = Field(default="info", description="Emit logging messages at this level or higher", category="Logging") + log_sql : bool = Field(default=False, description="Log SQL queries", category="Logging") dev_reload : bool = Field(default=False, description="Automatically reload when Python sources are changed.", category="Development") @@ -245,18 +246,23 @@ class InvokeAIAppConfig(InvokeAISettings): lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", category="Model Cache", ) # DEVICE - device : Literal[tuple(["auto", "cpu", "cuda", "cuda:1", "mps"])] = Field(default="auto", description="Generation device", category="Device", ) - precision: Literal[tuple(["auto", "float16", "float32", "autocast"])] = Field(default="auto", description="Floating point precision", category="Device", ) + device : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", category="Device", ) + precision : Literal["auto", "float16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", category="Device", ) # GENERATION sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category="Generation", ) - attention_type : Literal[tuple(["auto", "normal", "xformers", "sliced", "torch-sdp"])] = Field(default="auto", description="Attention type", category="Generation", ) - attention_slice_size: Literal[tuple(["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8])] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", ) + attention_type : Literal["auto", "normal", "xformers", "sliced", "torch-sdp"] = Field(default="auto", description="Attention type", category="Generation", ) + attention_slice_size: Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", ) + force_tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",) force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",) + # QUEUE + max_queue_size : int = Field(default=10000, gt=0, description="Maximum number of items in the session queue", category="Queue", ) + # NODES allow_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.", category="Nodes") deny_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to deny. Omit to deny none.", category="Nodes") + node_cache_size : int = Field(default=512, description="How many cached nodes to keep in memory", category="Nodes", ) # DEPRECATED FIELDS - STILL HERE IN ORDER TO OBTAN VALUES FROM PRE-3.1 CONFIG FILES always_use_cpu : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance') @@ -272,7 +278,7 @@ class InvokeAIAppConfig(InvokeAISettings): class Config: validate_assignment = True - def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False): + def parse_args(self, argv: Optional[list[str]] = None, conf: Optional[DictConfig] = None, clobber=False): """ Update settings with contents of init file, environment, and command-line settings. @@ -283,12 +289,16 @@ class InvokeAIAppConfig(InvokeAISettings): # Set the runtime root directory. We parse command-line switches here # in order to pick up the --root_dir option. super().parse_args(argv) + loaded_conf = None if conf is None: try: - conf = OmegaConf.load(self.root_dir / INIT_FILE) + loaded_conf = OmegaConf.load(self.root_dir / INIT_FILE) except Exception: pass - InvokeAISettings.initconf = conf + if isinstance(loaded_conf, DictConfig): + InvokeAISettings.initconf = loaded_conf + else: + InvokeAISettings.initconf = conf # parse args again in order to pick up settings in configuration file super().parse_args(argv) @@ -376,13 +386,6 @@ class InvokeAIAppConfig(InvokeAISettings): """ return self._resolve(self.models_dir) - @property - def autoconvert_path(self) -> Path: - """ - Path to the directory containing models to be imported automatically at startup. - """ - return self._resolve(self.autoconvert_dir) if self.autoconvert_dir else None - # the following methods support legacy calls leftover from the Globals era @property def full_precision(self) -> bool: @@ -405,11 +408,11 @@ class InvokeAIAppConfig(InvokeAISettings): return True @property - def ram_cache_size(self) -> float: + def ram_cache_size(self) -> Union[Literal["auto"], float]: return self.max_cache_size or self.ram @property - def vram_cache_size(self) -> float: + def vram_cache_size(self) -> Union[Literal["auto"], float]: return self.max_vram_cache_size or self.vram @property diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py index 2677060655..ad8d220599 100644 --- a/invokeai/app/services/default_graphs.py +++ b/invokeai/app/services/default_graphs.py @@ -10,57 +10,58 @@ default_text_to_image_graph_id = "539b2af5-2b4d-4d8c-8071-e54a3255fc74" def create_text_to_image() -> LibraryGraph: + graph = Graph( + nodes={ + "width": IntegerInvocation(id="width", value=512), + "height": IntegerInvocation(id="height", value=512), + "seed": IntegerInvocation(id="seed", value=-1), + "3": NoiseInvocation(id="3"), + "4": CompelInvocation(id="4"), + "5": CompelInvocation(id="5"), + "6": DenoiseLatentsInvocation(id="6"), + "7": LatentsToImageInvocation(id="7"), + "8": ImageNSFWBlurInvocation(id="8"), + }, + edges=[ + Edge( + source=EdgeConnection(node_id="width", field="value"), + destination=EdgeConnection(node_id="3", field="width"), + ), + Edge( + source=EdgeConnection(node_id="height", field="value"), + destination=EdgeConnection(node_id="3", field="height"), + ), + Edge( + source=EdgeConnection(node_id="seed", field="value"), + destination=EdgeConnection(node_id="3", field="seed"), + ), + Edge( + source=EdgeConnection(node_id="3", field="noise"), + destination=EdgeConnection(node_id="6", field="noise"), + ), + 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"), + ), + ], + ) return LibraryGraph( id=default_text_to_image_graph_id, name="t2i", description="Converts text to an image", - graph=Graph( - nodes={ - "width": IntegerInvocation(id="width", value=512), - "height": IntegerInvocation(id="height", value=512), - "seed": IntegerInvocation(id="seed", value=-1), - "3": NoiseInvocation(id="3"), - "4": CompelInvocation(id="4"), - "5": CompelInvocation(id="5"), - "6": DenoiseLatentsInvocation(id="6"), - "7": LatentsToImageInvocation(id="7"), - "8": ImageNSFWBlurInvocation(id="8"), - }, - edges=[ - Edge( - source=EdgeConnection(node_id="width", field="value"), - destination=EdgeConnection(node_id="3", field="width"), - ), - Edge( - source=EdgeConnection(node_id="height", field="value"), - destination=EdgeConnection(node_id="3", field="height"), - ), - Edge( - source=EdgeConnection(node_id="seed", field="value"), - destination=EdgeConnection(node_id="3", field="seed"), - ), - Edge( - source=EdgeConnection(node_id="3", field="noise"), - destination=EdgeConnection(node_id="6", field="noise"), - ), - 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"), - ), - ], - ), + graph=graph, exposed_inputs=[ ExposedNodeInput(node_path="4", field="prompt", alias="positive_prompt"), ExposedNodeInput(node_path="5", field="prompt", alias="negative_prompt"), diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py index 2bfe9b7c3d..3b36ffb917 100644 --- a/invokeai/app/services/events.py +++ b/invokeai/app/services/events.py @@ -4,21 +4,23 @@ from typing import Any, Optional from invokeai.app.models.image import ProgressImage from invokeai.app.services.model_manager_service import BaseModelType, ModelInfo, ModelType, SubModelType +from invokeai.app.services.session_queue.session_queue_common import EnqueueBatchResult, SessionQueueItem from invokeai.app.util.misc import get_timestamp class EventServiceBase: - session_event: str = "session_event" + queue_event: str = "queue_event" """Basic event bus, to have an empty stand-in when not needed""" def dispatch(self, event_name: str, payload: Any) -> None: pass - def __emit_session_event(self, event_name: str, payload: dict) -> None: + def __emit_queue_event(self, event_name: str, payload: dict) -> None: + """Queue events are emitted to a room with queue_id as the room name""" payload["timestamp"] = get_timestamp() self.dispatch( - event_name=EventServiceBase.session_event, + event_name=EventServiceBase.queue_event, payload=dict(event=event_name, data=payload), ) @@ -26,6 +28,9 @@ class EventServiceBase: # This will make them easier to integrate until we find a schema generator. def emit_generator_progress( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, node: dict, source_node_id: str, @@ -35,11 +40,14 @@ class EventServiceBase: total_steps: int, ) -> None: """Emitted when there is generation progress""" - self.__emit_session_event( + self.__emit_queue_event( event_name="generator_progress", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, - node=node, + node_id=node.get("id"), source_node_id=source_node_id, progress_image=progress_image.dict() if progress_image is not None else None, step=step, @@ -50,15 +58,21 @@ class EventServiceBase: def emit_invocation_complete( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, result: dict, node: dict, source_node_id: str, ) -> None: """Emitted when an invocation has completed""" - self.__emit_session_event( + self.__emit_queue_event( event_name="invocation_complete", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, node=node, source_node_id=source_node_id, @@ -68,6 +82,9 @@ class EventServiceBase: def emit_invocation_error( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, node: dict, source_node_id: str, @@ -75,9 +92,12 @@ class EventServiceBase: error: str, ) -> None: """Emitted when an invocation has completed""" - self.__emit_session_event( + self.__emit_queue_event( event_name="invocation_error", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, node=node, source_node_id=source_node_id, @@ -86,28 +106,47 @@ class EventServiceBase: ), ) - def emit_invocation_started(self, graph_execution_state_id: str, node: dict, source_node_id: str) -> None: + def emit_invocation_started( + self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, + graph_execution_state_id: str, + node: dict, + source_node_id: str, + ) -> None: """Emitted when an invocation has started""" - self.__emit_session_event( + self.__emit_queue_event( event_name="invocation_started", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, node=node, source_node_id=source_node_id, ), ) - def emit_graph_execution_complete(self, graph_execution_state_id: str) -> None: + def emit_graph_execution_complete( + self, queue_id: str, queue_item_id: int, queue_batch_id: str, graph_execution_state_id: str + ) -> None: """Emitted when a session has completed all invocations""" - self.__emit_session_event( + self.__emit_queue_event( event_name="graph_execution_state_complete", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, ), ) def emit_model_load_started( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, model_name: str, base_model: BaseModelType, @@ -115,9 +154,12 @@ class EventServiceBase: submodel: SubModelType, ) -> None: """Emitted when a model is requested""" - self.__emit_session_event( + self.__emit_queue_event( event_name="model_load_started", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, model_name=model_name, base_model=base_model, @@ -128,6 +170,9 @@ class EventServiceBase: def emit_model_load_completed( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, model_name: str, base_model: BaseModelType, @@ -136,9 +181,12 @@ class EventServiceBase: model_info: ModelInfo, ) -> None: """Emitted when a model is correctly loaded (returns model info)""" - self.__emit_session_event( + self.__emit_queue_event( event_name="model_load_completed", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, model_name=model_name, base_model=base_model, @@ -152,14 +200,20 @@ class EventServiceBase: def emit_session_retrieval_error( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, error_type: str, error: str, ) -> None: """Emitted when session retrieval fails""" - self.__emit_session_event( + self.__emit_queue_event( event_name="session_retrieval_error", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, error_type=error_type, error=error, @@ -168,18 +222,78 @@ class EventServiceBase: def emit_invocation_retrieval_error( self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, graph_execution_state_id: str, node_id: str, error_type: str, error: str, ) -> None: """Emitted when invocation retrieval fails""" - self.__emit_session_event( + self.__emit_queue_event( event_name="invocation_retrieval_error", payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, graph_execution_state_id=graph_execution_state_id, node_id=node_id, error_type=error_type, error=error, ), ) + + def emit_session_canceled( + self, + queue_id: str, + queue_item_id: int, + queue_batch_id: str, + graph_execution_state_id: str, + ) -> None: + """Emitted when a session is canceled""" + self.__emit_queue_event( + event_name="session_canceled", + payload=dict( + queue_id=queue_id, + queue_item_id=queue_item_id, + queue_batch_id=queue_batch_id, + graph_execution_state_id=graph_execution_state_id, + ), + ) + + def emit_queue_item_status_changed(self, session_queue_item: SessionQueueItem) -> None: + """Emitted when a queue item's status changes""" + self.__emit_queue_event( + event_name="queue_item_status_changed", + payload=dict( + queue_id=session_queue_item.queue_id, + queue_item_id=session_queue_item.item_id, + status=session_queue_item.status, + batch_id=session_queue_item.batch_id, + session_id=session_queue_item.session_id, + error=session_queue_item.error, + created_at=str(session_queue_item.created_at) if session_queue_item.created_at else None, + updated_at=str(session_queue_item.updated_at) if session_queue_item.updated_at else None, + started_at=str(session_queue_item.started_at) if session_queue_item.started_at else None, + completed_at=str(session_queue_item.completed_at) if session_queue_item.completed_at else None, + ), + ) + + def emit_batch_enqueued(self, enqueue_result: EnqueueBatchResult) -> None: + """Emitted when a batch is enqueued""" + self.__emit_queue_event( + event_name="batch_enqueued", + payload=dict( + queue_id=enqueue_result.queue_id, + batch_id=enqueue_result.batch.batch_id, + enqueued=enqueue_result.enqueued, + ), + ) + + def emit_queue_cleared(self, queue_id: str) -> None: + """Emitted when the queue is cleared""" + self.__emit_queue_event( + event_name="queue_cleared", + payload=dict(queue_id=queue_id), + ) diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py index 90f0ec51d1..2a5fc4c441 100644 --- a/invokeai/app/services/graph.py +++ b/invokeai/app/services/graph.py @@ -2,13 +2,14 @@ import copy import itertools -import uuid -from typing import Annotated, Any, Optional, Union, get_args, get_origin, get_type_hints +from typing import Annotated, Any, Optional, Union, cast, get_args, get_origin, get_type_hints import networkx as nx from pydantic import BaseModel, root_validator, validator from pydantic.fields import Field +from invokeai.app.util.misc import uuid_string + # Importing * is bad karma but needed here for node detection from ..invocations import * # noqa: F401 F403 from ..invocations.baseinvocation import ( @@ -137,19 +138,31 @@ def are_connections_compatible( return are_connection_types_compatible(from_node_field, to_node_field) -class NodeAlreadyInGraphError(Exception): +class NodeAlreadyInGraphError(ValueError): pass -class InvalidEdgeError(Exception): +class InvalidEdgeError(ValueError): pass -class NodeNotFoundError(Exception): +class NodeNotFoundError(ValueError): pass -class NodeAlreadyExecutedError(Exception): +class NodeAlreadyExecutedError(ValueError): + pass + + +class DuplicateNodeIdError(ValueError): + pass + + +class NodeFieldNotFoundError(ValueError): + pass + + +class NodeIdMismatchError(ValueError): pass @@ -227,7 +240,7 @@ InvocationOutputsUnion = Union[BaseInvocationOutput.get_all_subclasses_tuple()] class Graph(BaseModel): - id: str = Field(description="The id of this graph", default_factory=lambda: uuid.uuid4().__str__()) + id: str = Field(description="The id of this graph", default_factory=uuid_string) # TODO: use a list (and never use dict in a BaseModel) because pydantic/fastapi hates me nodes: dict[str, Annotated[InvocationsUnion, Field(discriminator="type")]] = Field( description="The nodes in this graph", default_factory=dict @@ -237,6 +250,59 @@ class Graph(BaseModel): default_factory=list, ) + @root_validator + def validate_nodes_and_edges(cls, values): + """Validates that all edges match nodes in the graph""" + nodes = cast(Optional[dict[str, BaseInvocation]], values.get("nodes")) + edges = cast(Optional[list[Edge]], values.get("edges")) + + if nodes is not None: + # Validate that all node ids are unique + node_ids = [n.id for n in nodes.values()] + duplicate_node_ids = set([node_id for node_id in node_ids if node_ids.count(node_id) >= 2]) + if duplicate_node_ids: + raise DuplicateNodeIdError(f"Node ids must be unique, found duplicates {duplicate_node_ids}") + + # Validate that all node ids match the keys in the nodes dict + for k, v in nodes.items(): + if k != v.id: + raise NodeIdMismatchError(f"Node ids must match, got {k} and {v.id}") + + if edges is not None and nodes is not None: + # Validate that all edges match nodes in the graph + node_ids = set([e.source.node_id for e in edges] + [e.destination.node_id for e in edges]) + missing_node_ids = [node_id for node_id in node_ids if node_id not in nodes] + if missing_node_ids: + raise NodeNotFoundError( + f"All edges must reference nodes in the graph, missing nodes: {missing_node_ids}" + ) + + # Validate that all edge fields match node fields in the graph + for edge in edges: + source_node = nodes.get(edge.source.node_id, None) + if source_node is None: + raise NodeFieldNotFoundError(f"Edge source node {edge.source.node_id} does not exist in the graph") + + destination_node = nodes.get(edge.destination.node_id, None) + if destination_node is None: + raise NodeFieldNotFoundError( + f"Edge destination node {edge.destination.node_id} does not exist in the graph" + ) + + # output fields are not on the node object directly, they are on the output type + if edge.source.field not in source_node.get_output_type().__fields__: + raise NodeFieldNotFoundError( + f"Edge source field {edge.source.field} does not exist in node {edge.source.node_id}" + ) + + # input fields are on the node + if edge.destination.field not in destination_node.__fields__: + raise NodeFieldNotFoundError( + f"Edge destination field {edge.destination.field} does not exist in node {edge.destination.node_id}" + ) + + return values + def add_node(self, node: BaseInvocation) -> None: """Adds a node to a graph @@ -697,8 +763,7 @@ class Graph(BaseModel): class GraphExecutionState(BaseModel): """Tracks the state of a graph execution""" - id: str = Field(description="The id of the execution state", default_factory=lambda: uuid.uuid4().__str__()) - + id: str = Field(description="The id of the execution state", default_factory=uuid_string) # TODO: Store a reference to the graph instead of the actual graph? graph: Graph = Field(description="The graph being executed") @@ -847,7 +912,7 @@ class GraphExecutionState(BaseModel): new_node = copy.deepcopy(node) # Create the node id (use a random uuid) - new_node.id = str(uuid.uuid4()) + new_node.id = uuid_string() # Set the iteration index for iteration invocations if isinstance(new_node, IterateInvocation): @@ -1082,7 +1147,7 @@ class ExposedNodeOutput(BaseModel): class LibraryGraph(BaseModel): - id: str = Field(description="The unique identifier for this library graph", default_factory=uuid.uuid4) + id: str = Field(description="The unique identifier for this library graph", default_factory=uuid_string) graph: Graph = Field(description="The graph") name: str = Field(description="The name of the graph") description: str = Field(description="The description of the graph") diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py index b9982fcfdc..f743fd1fe2 100644 --- a/invokeai/app/services/image_record_storage.py +++ b/invokeai/app/services/image_record_storage.py @@ -148,24 +148,20 @@ class ImageRecordStorageBase(ABC): class SqliteImageRecordStorage(ImageRecordStorageBase): - _filename: str _conn: sqlite3.Connection _cursor: sqlite3.Cursor _lock: threading.Lock - def __init__(self, filename: str) -> None: + def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None: super().__init__() - self._filename = filename - self._conn = sqlite3.connect(filename, check_same_thread=False) + self._conn = conn # Enable row factory to get rows as dictionaries (must be done before making the cursor!) self._conn.row_factory = sqlite3.Row self._cursor = self._conn.cursor() - self._lock = threading.Lock() + self._lock = lock try: self._lock.acquire() - # Enable foreign keys - self._conn.execute("PRAGMA foreign_keys = ON;") self._create_tables() self._conn.commit() finally: diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py index 2b0a3d62a5..08d5093a70 100644 --- a/invokeai/app/services/images.py +++ b/invokeai/app/services/images.py @@ -1,6 +1,6 @@ from abc import ABC, abstractmethod from logging import Logger -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Callable, Optional from PIL.Image import Image as PILImageType @@ -38,6 +38,29 @@ if TYPE_CHECKING: class ImageServiceABC(ABC): """High-level service for image management.""" + _on_changed_callbacks: list[Callable[[ImageDTO], None]] + _on_deleted_callbacks: list[Callable[[str], None]] + + def __init__(self) -> None: + self._on_changed_callbacks = list() + self._on_deleted_callbacks = list() + + def on_changed(self, on_changed: Callable[[ImageDTO], None]) -> None: + """Register a callback for when an image is changed""" + self._on_changed_callbacks.append(on_changed) + + def on_deleted(self, on_deleted: Callable[[str], None]) -> None: + """Register a callback for when an image is deleted""" + self._on_deleted_callbacks.append(on_deleted) + + def _on_changed(self, item: ImageDTO) -> None: + for callback in self._on_changed_callbacks: + callback(item) + + def _on_deleted(self, item_id: str) -> None: + for callback in self._on_deleted_callbacks: + callback(item_id) + @abstractmethod def create( self, @@ -161,6 +184,7 @@ class ImageService(ImageServiceABC): _services: ImageServiceDependencies def __init__(self, services: ImageServiceDependencies): + super().__init__() self._services = services def create( @@ -217,6 +241,7 @@ class ImageService(ImageServiceABC): self._services.image_files.save(image_name=image_name, image=image, metadata=metadata, workflow=workflow) image_dto = self.get_dto(image_name) + self._on_changed(image_dto) return image_dto except ImageRecordSaveException: self._services.logger.error("Failed to save image record") @@ -235,7 +260,9 @@ class ImageService(ImageServiceABC): ) -> ImageDTO: try: self._services.image_records.update(image_name, changes) - return self.get_dto(image_name) + image_dto = self.get_dto(image_name) + self._on_changed(image_dto) + return image_dto except ImageRecordSaveException: self._services.logger.error("Failed to update image record") raise @@ -374,6 +401,7 @@ class ImageService(ImageServiceABC): try: self._services.image_files.delete(image_name) self._services.image_records.delete(image_name) + self._on_deleted(image_name) except ImageRecordDeleteException: self._services.logger.error("Failed to delete image record") raise @@ -390,6 +418,8 @@ class ImageService(ImageServiceABC): for image_name in image_names: self._services.image_files.delete(image_name) self._services.image_records.delete_many(image_names) + for image_name in image_names: + self._on_deleted(image_name) except ImageRecordDeleteException: self._services.logger.error("Failed to delete image records") raise @@ -406,6 +436,7 @@ class ImageService(ImageServiceABC): count = len(image_names) for image_name in image_names: self._services.image_files.delete(image_name) + self._on_deleted(image_name) return count except ImageRecordDeleteException: self._services.logger.error("Failed to delete image records") diff --git a/invokeai/app/services/invocation_cache/__init__.py b/invokeai/app/services/invocation_cache/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/app/services/invocation_cache/invocation_cache_base.py b/invokeai/app/services/invocation_cache/invocation_cache_base.py new file mode 100644 index 0000000000..c35a31f851 --- /dev/null +++ b/invokeai/app/services/invocation_cache/invocation_cache_base.py @@ -0,0 +1,46 @@ +from abc import ABC, abstractmethod +from typing import Optional, Union + +from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput + + +class InvocationCacheBase(ABC): + """ + Base class for invocation caches. + When an invocation is executed, it is hashed and its output stored in the cache. + When new invocations are executed, if they are flagged with `use_cache`, they + will attempt to pull their value from the cache before executing. + + Implementations should register for the `on_deleted` event of the `images` and `latents` + services, and delete any cached outputs that reference the deleted image or latent. + + See the memory implementation for an example. + + Implementations should respect the `node_cache_size` configuration value, and skip all + cache logic if the value is set to 0. + """ + + @abstractmethod + def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]: + """Retrieves an invocation output from the cache""" + pass + + @abstractmethod + def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None: + """Stores an invocation output in the cache""" + pass + + @abstractmethod + def delete(self, key: Union[int, str]) -> None: + """Deleteds an invocation output from the cache""" + pass + + @abstractmethod + def clear(self) -> None: + """Clears the cache""" + pass + + @abstractmethod + def create_key(self, invocation: BaseInvocation) -> int: + """Gets the key for the invocation's cache item""" + pass diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py new file mode 100644 index 0000000000..4c0eb2106f --- /dev/null +++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py @@ -0,0 +1,81 @@ +from queue import Queue +from typing import Optional, Union + +from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput +from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase +from invokeai.app.services.invoker import Invoker + + +class MemoryInvocationCache(InvocationCacheBase): + __cache: dict[Union[int, str], tuple[BaseInvocationOutput, str]] + __max_cache_size: int + __cache_ids: Queue + __invoker: Invoker + + def __init__(self, max_cache_size: int = 0) -> None: + self.__cache = dict() + self.__max_cache_size = max_cache_size + self.__cache_ids = Queue() + + def start(self, invoker: Invoker) -> None: + self.__invoker = invoker + if self.__max_cache_size == 0: + return + self.__invoker.services.images.on_deleted(self._delete_by_match) + self.__invoker.services.latents.on_deleted(self._delete_by_match) + + def get(self, key: Union[int, str]) -> Optional[BaseInvocationOutput]: + if self.__max_cache_size == 0: + return + + item = self.__cache.get(key, None) + if item is not None: + return item[0] + + def save(self, key: Union[int, str], invocation_output: BaseInvocationOutput) -> None: + if self.__max_cache_size == 0: + return + + if key not in self.__cache: + self.__cache[key] = (invocation_output, invocation_output.json()) + self.__cache_ids.put(key) + if self.__cache_ids.qsize() > self.__max_cache_size: + try: + self.__cache.pop(self.__cache_ids.get()) + except KeyError: + # this means the cache_ids are somehow out of sync w/ the cache + pass + + def delete(self, key: Union[int, str]) -> None: + if self.__max_cache_size == 0: + return + + if key in self.__cache: + del self.__cache[key] + + def clear(self, *args, **kwargs) -> None: + if self.__max_cache_size == 0: + return + + self.__cache.clear() + self.__cache_ids = Queue() + + def create_key(self, invocation: BaseInvocation) -> int: + return hash(invocation.json(exclude={"id"})) + + def _delete_by_match(self, to_match: str) -> None: + if self.__max_cache_size == 0: + return + + keys_to_delete = set() + for key, value_tuple in self.__cache.items(): + if to_match in value_tuple[1]: + keys_to_delete.add(key) + + if not keys_to_delete: + return + + for key in keys_to_delete: + self.delete(key) + + self.__invoker.services.logger.debug(f"Deleted {len(keys_to_delete)} cached invocation outputs for {to_match}") diff --git a/invokeai/app/services/invocation_queue.py b/invokeai/app/services/invocation_queue.py index 2fe5f60826..378a9d12cf 100644 --- a/invokeai/app/services/invocation_queue.py +++ b/invokeai/app/services/invocation_queue.py @@ -11,6 +11,13 @@ from pydantic import BaseModel, Field class InvocationQueueItem(BaseModel): graph_execution_state_id: str = Field(description="The ID of the graph execution state") invocation_id: str = Field(description="The ID of the node being invoked") + session_queue_id: str = Field(description="The ID of the session queue from which this invocation queue item came") + session_queue_item_id: int = Field( + description="The ID of session queue item from which this invocation queue item came" + ) + session_queue_batch_id: str = Field( + description="The ID of the session batch from which this invocation queue item came" + ) invoke_all: bool = Field(default=False) timestamp: float = Field(default_factory=time.time) diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py index a4ec3573f5..e496ff80f2 100644 --- a/invokeai/app/services/invocation_services.py +++ b/invokeai/app/services/invocation_services.py @@ -12,12 +12,15 @@ if TYPE_CHECKING: from invokeai.app.services.events import EventServiceBase from invokeai.app.services.graph import GraphExecutionState, LibraryGraph from invokeai.app.services.images import ImageServiceABC + from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase from invokeai.app.services.invocation_queue import InvocationQueueABC from invokeai.app.services.invocation_stats import InvocationStatsServiceBase from invokeai.app.services.invoker import InvocationProcessorABC from invokeai.app.services.item_storage import ItemStorageABC from invokeai.app.services.latent_storage import LatentsStorageBase from invokeai.app.services.model_manager_service import ModelManagerServiceBase + from invokeai.app.services.session_processor.session_processor_base import SessionProcessorBase + from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase class InvocationServices: @@ -28,8 +31,8 @@ class InvocationServices: boards: "BoardServiceABC" configuration: "InvokeAIAppConfig" events: "EventServiceBase" - graph_execution_manager: "ItemStorageABC"["GraphExecutionState"] - graph_library: "ItemStorageABC"["LibraryGraph"] + graph_execution_manager: "ItemStorageABC[GraphExecutionState]" + graph_library: "ItemStorageABC[LibraryGraph]" images: "ImageServiceABC" latents: "LatentsStorageBase" logger: "Logger" @@ -37,6 +40,9 @@ class InvocationServices: processor: "InvocationProcessorABC" performance_statistics: "InvocationStatsServiceBase" queue: "InvocationQueueABC" + session_queue: "SessionQueueBase" + session_processor: "SessionProcessorBase" + invocation_cache: "InvocationCacheBase" def __init__( self, @@ -44,8 +50,8 @@ class InvocationServices: boards: "BoardServiceABC", configuration: "InvokeAIAppConfig", events: "EventServiceBase", - graph_execution_manager: "ItemStorageABC"["GraphExecutionState"], - graph_library: "ItemStorageABC"["LibraryGraph"], + graph_execution_manager: "ItemStorageABC[GraphExecutionState]", + graph_library: "ItemStorageABC[LibraryGraph]", images: "ImageServiceABC", latents: "LatentsStorageBase", logger: "Logger", @@ -53,10 +59,12 @@ class InvocationServices: processor: "InvocationProcessorABC", performance_statistics: "InvocationStatsServiceBase", queue: "InvocationQueueABC", + session_queue: "SessionQueueBase", + session_processor: "SessionProcessorBase", + invocation_cache: "InvocationCacheBase", ): self.board_images = board_images self.boards = boards - self.boards = boards self.configuration = configuration self.events = events self.graph_execution_manager = graph_execution_manager @@ -68,3 +76,6 @@ class InvocationServices: self.processor = processor self.performance_statistics = performance_statistics self.queue = queue + self.session_queue = session_queue + self.session_processor = session_processor + self.invocation_cache = invocation_cache diff --git a/invokeai/app/services/invoker.py b/invokeai/app/services/invoker.py index 1a7b0de27e..0c98fc285c 100644 --- a/invokeai/app/services/invoker.py +++ b/invokeai/app/services/invoker.py @@ -17,7 +17,14 @@ class Invoker: self.services = services self._start() - def invoke(self, graph_execution_state: GraphExecutionState, invoke_all: bool = False) -> Optional[str]: + def invoke( + self, + session_queue_id: str, + session_queue_item_id: int, + session_queue_batch_id: str, + graph_execution_state: GraphExecutionState, + invoke_all: bool = False, + ) -> Optional[str]: """Determines the next node to invoke and enqueues it, preparing if needed. Returns the id of the queued node, or `None` if there are no nodes left to enqueue.""" @@ -32,7 +39,9 @@ class Invoker: # Queue the invocation self.services.queue.put( InvocationQueueItem( - # session_id = session.id, + session_queue_id=session_queue_id, + session_queue_item_id=session_queue_item_id, + session_queue_batch_id=session_queue_batch_id, graph_execution_state_id=graph_execution_state.id, invocation_id=invocation.id, invoke_all=invoke_all, diff --git a/invokeai/app/services/latent_storage.py b/invokeai/app/services/latent_storage.py index f0b1dc9fe7..8605ef5abd 100644 --- a/invokeai/app/services/latent_storage.py +++ b/invokeai/app/services/latent_storage.py @@ -3,7 +3,7 @@ from abc import ABC, abstractmethod from pathlib import Path from queue import Queue -from typing import Dict, Optional, Union +from typing import Callable, Dict, Optional, Union import torch @@ -11,6 +11,13 @@ import torch class LatentsStorageBase(ABC): """Responsible for storing and retrieving latents.""" + _on_changed_callbacks: list[Callable[[torch.Tensor], None]] + _on_deleted_callbacks: list[Callable[[str], None]] + + def __init__(self) -> None: + self._on_changed_callbacks = list() + self._on_deleted_callbacks = list() + @abstractmethod def get(self, name: str) -> torch.Tensor: pass @@ -23,6 +30,22 @@ class LatentsStorageBase(ABC): def delete(self, name: str) -> None: pass + def on_changed(self, on_changed: Callable[[torch.Tensor], None]) -> None: + """Register a callback for when an item is changed""" + self._on_changed_callbacks.append(on_changed) + + def on_deleted(self, on_deleted: Callable[[str], None]) -> None: + """Register a callback for when an item is deleted""" + self._on_deleted_callbacks.append(on_deleted) + + def _on_changed(self, item: torch.Tensor) -> None: + for callback in self._on_changed_callbacks: + callback(item) + + def _on_deleted(self, item_id: str) -> None: + for callback in self._on_deleted_callbacks: + callback(item_id) + class ForwardCacheLatentsStorage(LatentsStorageBase): """Caches the latest N latents in memory, writing-thorugh to and reading from underlying storage""" @@ -33,6 +56,7 @@ class ForwardCacheLatentsStorage(LatentsStorageBase): __underlying_storage: LatentsStorageBase def __init__(self, underlying_storage: LatentsStorageBase, max_cache_size: int = 20): + super().__init__() self.__underlying_storage = underlying_storage self.__cache = dict() self.__cache_ids = Queue() @@ -50,11 +74,13 @@ class ForwardCacheLatentsStorage(LatentsStorageBase): def save(self, name: str, data: torch.Tensor) -> None: self.__underlying_storage.save(name, data) self.__set_cache(name, data) + self._on_changed(data) def delete(self, name: str) -> None: self.__underlying_storage.delete(name) if name in self.__cache: del self.__cache[name] + self._on_deleted(name) def __get_cache(self, name: str) -> Optional[torch.Tensor]: return None if name not in self.__cache else self.__cache[name] diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py index a7745a9253..143fa8f357 100644 --- a/invokeai/app/services/model_manager_service.py +++ b/invokeai/app/services/model_manager_service.py @@ -525,7 +525,7 @@ class ModelManagerService(ModelManagerServiceBase): def _emit_load_event( self, - context, + context: InvocationContext, model_name: str, base_model: BaseModelType, model_type: ModelType, @@ -537,6 +537,9 @@ class ModelManagerService(ModelManagerServiceBase): if model_info: context.services.events.emit_model_load_completed( + queue_id=context.queue_id, + queue_item_id=context.queue_item_id, + queue_batch_id=context.queue_batch_id, graph_execution_state_id=context.graph_execution_state_id, model_name=model_name, base_model=base_model, @@ -546,6 +549,9 @@ class ModelManagerService(ModelManagerServiceBase): ) else: context.services.events.emit_model_load_started( + queue_id=context.queue_id, + queue_item_id=context.queue_item_id, + queue_batch_id=context.queue_batch_id, graph_execution_state_id=context.graph_execution_state_id, model_name=model_name, base_model=base_model, diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py index 37da17d318..b4c894c52d 100644 --- a/invokeai/app/services/processor.py +++ b/invokeai/app/services/processor.py @@ -1,6 +1,7 @@ import time import traceback from threading import BoundedSemaphore, Event, Thread +from typing import Optional import invokeai.backend.util.logging as logger @@ -37,10 +38,11 @@ class DefaultInvocationProcessor(InvocationProcessorABC): try: self.__threadLimit.acquire() statistics: InvocationStatsServiceBase = self.__invoker.services.performance_statistics + queue_item: Optional[InvocationQueueItem] = None while not stop_event.is_set(): try: - queue_item: InvocationQueueItem = self.__invoker.services.queue.get() + queue_item = self.__invoker.services.queue.get() except Exception as e: self.__invoker.services.logger.error("Exception while getting from queue:\n%s" % e) @@ -48,7 +50,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC): # do not hammer the queue time.sleep(0.5) continue - try: graph_execution_state = self.__invoker.services.graph_execution_manager.get( queue_item.graph_execution_state_id @@ -56,6 +57,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC): except Exception as e: self.__invoker.services.logger.error("Exception while retrieving session:\n%s" % e) self.__invoker.services.events.emit_session_retrieval_error( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=queue_item.graph_execution_state_id, error_type=e.__class__.__name__, error=traceback.format_exc(), @@ -67,6 +71,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC): except Exception as e: self.__invoker.services.logger.error("Exception while retrieving invocation:\n%s" % e) self.__invoker.services.events.emit_invocation_retrieval_error( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=queue_item.graph_execution_state_id, node_id=queue_item.invocation_id, error_type=e.__class__.__name__, @@ -79,6 +86,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC): # Send starting event self.__invoker.services.events.emit_invocation_started( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=graph_execution_state.id, node=invocation.dict(), source_node_id=source_node_id, @@ -89,13 +99,17 @@ class DefaultInvocationProcessor(InvocationProcessorABC): graph_id = graph_execution_state.id model_manager = self.__invoker.services.model_manager with statistics.collect_stats(invocation, graph_id, model_manager): - # use the internal invoke_internal(), which wraps the node's invoke() method in - # this accomodates nodes which require a value, but get it only from a - # connection + # use the internal invoke_internal(), which wraps the node's invoke() method, + # which handles a few things: + # - nodes that require a value, but get it only from a connection + # - referencing the invocation cache instead of executing the node outputs = invocation.invoke_internal( InvocationContext( services=self.__invoker.services, graph_execution_state_id=graph_execution_state.id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, + queue_batch_id=queue_item.session_queue_batch_id, ) ) @@ -111,6 +125,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC): # Send complete event self.__invoker.services.events.emit_invocation_complete( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=graph_execution_state.id, node=invocation.dict(), source_node_id=source_node_id, @@ -138,6 +155,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC): self.__invoker.services.logger.error("Error while invoking:\n%s" % e) # Send error event self.__invoker.services.events.emit_invocation_error( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=graph_execution_state.id, node=invocation.dict(), source_node_id=source_node_id, @@ -155,10 +175,19 @@ class DefaultInvocationProcessor(InvocationProcessorABC): is_complete = graph_execution_state.is_complete() if queue_item.invoke_all and not is_complete: try: - self.__invoker.invoke(graph_execution_state, invoke_all=True) + self.__invoker.invoke( + session_queue_batch_id=queue_item.session_queue_batch_id, + session_queue_item_id=queue_item.session_queue_item_id, + session_queue_id=queue_item.session_queue_id, + graph_execution_state=graph_execution_state, + invoke_all=True, + ) except Exception as e: self.__invoker.services.logger.error("Error while invoking:\n%s" % e) self.__invoker.services.events.emit_invocation_error( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, graph_execution_state_id=graph_execution_state.id, node=invocation.dict(), source_node_id=source_node_id, @@ -166,7 +195,12 @@ class DefaultInvocationProcessor(InvocationProcessorABC): error=traceback.format_exc(), ) elif is_complete: - self.__invoker.services.events.emit_graph_execution_complete(graph_execution_state.id) + self.__invoker.services.events.emit_graph_execution_complete( + queue_batch_id=queue_item.session_queue_batch_id, + queue_item_id=queue_item.session_queue_item_id, + queue_id=queue_item.session_queue_id, + graph_execution_state_id=graph_execution_state.id, + ) except KeyboardInterrupt: pass # Log something? KeyboardInterrupt is probably not going to be seen by the processor diff --git a/invokeai/app/services/resource_name.py b/invokeai/app/services/resource_name.py index c89c06edc3..a17b1a084e 100644 --- a/invokeai/app/services/resource_name.py +++ b/invokeai/app/services/resource_name.py @@ -1,7 +1,8 @@ -import uuid from abc import ABC, abstractmethod from enum import Enum, EnumMeta +from invokeai.app.util.misc import uuid_string + class ResourceType(str, Enum, metaclass=EnumMeta): """Enum for resource types.""" @@ -25,6 +26,6 @@ class SimpleNameService(NameServiceBase): # TODO: Add customizable naming schemes def create_image_name(self) -> str: - uuid_str = str(uuid.uuid4()) + uuid_str = uuid_string() filename = f"{uuid_str}.png" return filename diff --git a/invokeai/app/services/session_processor/__init__.py b/invokeai/app/services/session_processor/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/app/services/session_processor/session_processor_base.py b/invokeai/app/services/session_processor/session_processor_base.py new file mode 100644 index 0000000000..485ef2f8c3 --- /dev/null +++ b/invokeai/app/services/session_processor/session_processor_base.py @@ -0,0 +1,28 @@ +from abc import ABC, abstractmethod + +from invokeai.app.services.session_processor.session_processor_common import SessionProcessorStatus + + +class SessionProcessorBase(ABC): + """ + Base class for session processor. + + The session processor is responsible for executing sessions. It runs a simple polling loop, + checking the session queue for new sessions to execute. It must coordinate with the + invocation queue to ensure only one session is executing at a time. + """ + + @abstractmethod + def resume(self) -> SessionProcessorStatus: + """Starts or resumes the session processor""" + pass + + @abstractmethod + def pause(self) -> SessionProcessorStatus: + """Pauses the session processor""" + pass + + @abstractmethod + def get_status(self) -> SessionProcessorStatus: + """Gets the status of the session processor""" + pass diff --git a/invokeai/app/services/session_processor/session_processor_common.py b/invokeai/app/services/session_processor/session_processor_common.py new file mode 100644 index 0000000000..00195a773f --- /dev/null +++ b/invokeai/app/services/session_processor/session_processor_common.py @@ -0,0 +1,6 @@ +from pydantic import BaseModel, Field + + +class SessionProcessorStatus(BaseModel): + is_started: bool = Field(description="Whether the session processor is started") + is_processing: bool = Field(description="Whether a session is being processed") diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py new file mode 100644 index 0000000000..b682c7e56c --- /dev/null +++ b/invokeai/app/services/session_processor/session_processor_default.py @@ -0,0 +1,124 @@ +from threading import BoundedSemaphore +from threading import Event as ThreadEvent +from threading import Thread +from typing import Optional + +from fastapi_events.handlers.local import local_handler +from fastapi_events.typing import Event as FastAPIEvent + +from invokeai.app.services.events import EventServiceBase +from invokeai.app.services.session_queue.session_queue_common import SessionQueueItem + +from ..invoker import Invoker +from .session_processor_base import SessionProcessorBase +from .session_processor_common import SessionProcessorStatus + +POLLING_INTERVAL = 1 +THREAD_LIMIT = 1 + + +class DefaultSessionProcessor(SessionProcessorBase): + def start(self, invoker: Invoker) -> None: + self.__invoker: Invoker = invoker + self.__queue_item: Optional[SessionQueueItem] = None + + self.__resume_event = ThreadEvent() + self.__stop_event = ThreadEvent() + self.__poll_now_event = ThreadEvent() + + local_handler.register(event_name=EventServiceBase.queue_event, _func=self._on_queue_event) + + self.__threadLimit = BoundedSemaphore(THREAD_LIMIT) + self.__thread = Thread( + name="session_processor", + target=self.__process, + kwargs=dict( + stop_event=self.__stop_event, poll_now_event=self.__poll_now_event, resume_event=self.__resume_event + ), + ) + self.__thread.start() + + def stop(self, *args, **kwargs) -> None: + self.__stop_event.set() + + def _poll_now(self) -> None: + self.__poll_now_event.set() + + async def _on_queue_event(self, event: FastAPIEvent) -> None: + event_name = event[1]["event"] + + match event_name: + case "graph_execution_state_complete" | "invocation_error" | "session_retrieval_error" | "invocation_retrieval_error": + self.__queue_item = None + self._poll_now() + case "session_canceled" if self.__queue_item is not None and self.__queue_item.session_id == event[1][ + "data" + ]["graph_execution_state_id"]: + self.__queue_item = None + self._poll_now() + case "batch_enqueued": + self._poll_now() + case "queue_cleared": + self.__queue_item = None + self._poll_now() + + def resume(self) -> SessionProcessorStatus: + if not self.__resume_event.is_set(): + self.__resume_event.set() + return self.get_status() + + def pause(self) -> SessionProcessorStatus: + if self.__resume_event.is_set(): + self.__resume_event.clear() + return self.get_status() + + def get_status(self) -> SessionProcessorStatus: + return SessionProcessorStatus( + is_started=self.__resume_event.is_set(), + is_processing=self.__queue_item is not None, + ) + + def __process( + self, + stop_event: ThreadEvent, + poll_now_event: ThreadEvent, + resume_event: ThreadEvent, + ): + try: + stop_event.clear() + resume_event.set() + self.__threadLimit.acquire() + queue_item: Optional[SessionQueueItem] = None + self.__invoker.services.logger + while not stop_event.is_set(): + poll_now_event.clear() + + # do not dequeue if there is already a session running + if self.__queue_item is None and resume_event.is_set(): + queue_item = self.__invoker.services.session_queue.dequeue() + + if queue_item is not None: + self.__invoker.services.logger.debug(f"Executing queue item {queue_item.item_id}") + self.__queue_item = queue_item + self.__invoker.services.graph_execution_manager.set(queue_item.session) + self.__invoker.invoke( + session_queue_batch_id=queue_item.batch_id, + session_queue_id=queue_item.queue_id, + session_queue_item_id=queue_item.item_id, + graph_execution_state=queue_item.session, + invoke_all=True, + ) + queue_item = None + + if queue_item is None: + self.__invoker.services.logger.debug("Waiting for next polling interval or event") + poll_now_event.wait(POLLING_INTERVAL) + continue + except Exception as e: + self.__invoker.services.logger.error(f"Error in session processor: {e}") + pass + finally: + stop_event.clear() + poll_now_event.clear() + self.__queue_item = None + self.__threadLimit.release() diff --git a/invokeai/app/services/session_queue/__init__.py b/invokeai/app/services/session_queue/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/app/services/session_queue/session_queue_base.py b/invokeai/app/services/session_queue/session_queue_base.py new file mode 100644 index 0000000000..0961759baa --- /dev/null +++ b/invokeai/app/services/session_queue/session_queue_base.py @@ -0,0 +1,112 @@ +from abc import ABC, abstractmethod +from typing import Optional + +from invokeai.app.services.graph import Graph +from invokeai.app.services.session_queue.session_queue_common import ( + QUEUE_ITEM_STATUS, + Batch, + BatchStatus, + CancelByBatchIDsResult, + CancelByQueueIDResult, + ClearResult, + EnqueueBatchResult, + EnqueueGraphResult, + IsEmptyResult, + IsFullResult, + PruneResult, + SessionQueueItem, + SessionQueueItemDTO, + SessionQueueStatus, +) +from invokeai.app.services.shared.models import CursorPaginatedResults + + +class SessionQueueBase(ABC): + """Base class for session queue""" + + @abstractmethod + def dequeue(self) -> Optional[SessionQueueItem]: + """Dequeues the next session queue item.""" + pass + + @abstractmethod + def enqueue_graph(self, queue_id: str, graph: Graph, prepend: bool) -> EnqueueGraphResult: + """Enqueues a single graph for execution.""" + pass + + @abstractmethod + def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult: + """Enqueues all permutations of a batch for execution.""" + pass + + @abstractmethod + def get_current(self, queue_id: str) -> Optional[SessionQueueItem]: + """Gets the currently-executing session queue item""" + pass + + @abstractmethod + def get_next(self, queue_id: str) -> Optional[SessionQueueItem]: + """Gets the next session queue item (does not dequeue it)""" + pass + + @abstractmethod + def clear(self, queue_id: str) -> ClearResult: + """Deletes all session queue items""" + pass + + @abstractmethod + def prune(self, queue_id: str) -> PruneResult: + """Deletes all completed and errored session queue items""" + pass + + @abstractmethod + def is_empty(self, queue_id: str) -> IsEmptyResult: + """Checks if the queue is empty""" + pass + + @abstractmethod + def is_full(self, queue_id: str) -> IsFullResult: + """Checks if the queue is empty""" + pass + + @abstractmethod + def get_queue_status(self, queue_id: str) -> SessionQueueStatus: + """Gets the status of the queue""" + pass + + @abstractmethod + def get_batch_status(self, queue_id: str, batch_id: str) -> BatchStatus: + """Gets the status of a batch""" + pass + + @abstractmethod + def cancel_queue_item(self, item_id: int) -> SessionQueueItem: + """Cancels a session queue item""" + pass + + @abstractmethod + def cancel_by_batch_ids(self, queue_id: str, batch_ids: list[str]) -> CancelByBatchIDsResult: + """Cancels all queue items with matching batch IDs""" + pass + + @abstractmethod + def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult: + """Cancels all queue items with matching queue ID""" + pass + + @abstractmethod + def list_queue_items( + self, + queue_id: str, + limit: int, + priority: int, + cursor: Optional[int] = None, + status: Optional[QUEUE_ITEM_STATUS] = None, + ) -> CursorPaginatedResults[SessionQueueItemDTO]: + """Gets a page of session queue items""" + pass + + @abstractmethod + def get_queue_item(self, item_id: int) -> SessionQueueItem: + """Gets a session queue item by ID""" + pass diff --git a/invokeai/app/services/session_queue/session_queue_common.py b/invokeai/app/services/session_queue/session_queue_common.py new file mode 100644 index 0000000000..a7032c7f1f --- /dev/null +++ b/invokeai/app/services/session_queue/session_queue_common.py @@ -0,0 +1,418 @@ +import datetime +import json +from itertools import chain, product +from typing import Generator, Iterable, Literal, NamedTuple, Optional, TypeAlias, Union, cast + +from pydantic import BaseModel, Field, StrictStr, parse_raw_as, root_validator, validator +from pydantic.json import pydantic_encoder + +from invokeai.app.invocations.baseinvocation import BaseInvocation +from invokeai.app.services.graph import Graph, GraphExecutionState, NodeNotFoundError +from invokeai.app.util.misc import uuid_string + +# region Errors + + +class BatchZippedLengthError(ValueError): + """Raise when a batch has items of different lengths.""" + + +class BatchItemsTypeError(TypeError): + """Raise when a batch has items of different types.""" + + +class BatchDuplicateNodeFieldError(ValueError): + """Raise when a batch has duplicate node_path and field_name.""" + + +class TooManySessionsError(ValueError): + """Raise when too many sessions are requested.""" + + +class SessionQueueItemNotFoundError(ValueError): + """Raise when a queue item is not found.""" + + +# endregion + + +# region Batch + +BatchDataType = Union[ + StrictStr, + float, + int, +] + + +class NodeFieldValue(BaseModel): + node_path: str = Field(description="The node into which this batch data item will be substituted.") + field_name: str = Field(description="The field into which this batch data item will be substituted.") + value: BatchDataType = Field(description="The value to substitute into the node/field.") + + +class BatchDatum(BaseModel): + node_path: str = Field(description="The node into which this batch data collection will be substituted.") + field_name: str = Field(description="The field into which this batch data collection will be substituted.") + items: list[BatchDataType] = Field( + default_factory=list, description="The list of items to substitute into the node/field." + ) + + +BatchDataCollection: TypeAlias = list[list[BatchDatum]] + + +class Batch(BaseModel): + batch_id: str = Field(default_factory=uuid_string, description="The ID of the batch") + data: Optional[BatchDataCollection] = Field(default=None, description="The batch data collection.") + graph: Graph = Field(description="The graph to initialize the session with") + runs: int = Field( + default=1, ge=1, description="Int stating how many times to iterate through all possible batch indices" + ) + + @validator("data") + def validate_lengths(cls, v: Optional[BatchDataCollection]): + if v is None: + return v + for batch_data_list in v: + first_item_length = len(batch_data_list[0].items) if batch_data_list and batch_data_list[0].items else 0 + for i in batch_data_list: + if len(i.items) != first_item_length: + raise BatchZippedLengthError("Zipped batch items must all have the same length") + return v + + @validator("data") + def validate_types(cls, v: Optional[BatchDataCollection]): + if v is None: + return v + for batch_data_list in v: + for datum in batch_data_list: + # Get the type of the first item in the list + first_item_type = type(datum.items[0]) if datum.items else None + for item in datum.items: + if type(item) is not first_item_type: + raise BatchItemsTypeError("All items in a batch must have the same type") + return v + + @validator("data") + def validate_unique_field_mappings(cls, v: Optional[BatchDataCollection]): + if v is None: + return v + paths: set[tuple[str, str]] = set() + for batch_data_list in v: + for datum in batch_data_list: + pair = (datum.node_path, datum.field_name) + if pair in paths: + raise BatchDuplicateNodeFieldError("Each batch data must have unique node_id and field_name") + paths.add(pair) + return v + + @root_validator(skip_on_failure=True) + def validate_batch_nodes_and_edges(cls, values): + batch_data_collection = cast(Optional[BatchDataCollection], values["data"]) + if batch_data_collection is None: + return values + graph = cast(Graph, values["graph"]) + for batch_data_list in batch_data_collection: + for batch_data in batch_data_list: + try: + node = cast(BaseInvocation, graph.get_node(batch_data.node_path)) + except NodeNotFoundError: + raise NodeNotFoundError(f"Node {batch_data.node_path} not found in graph") + if batch_data.field_name not in node.__fields__: + raise NodeNotFoundError(f"Field {batch_data.field_name} not found in node {batch_data.node_path}") + return values + + class Config: + schema_extra = { + "required": [ + "graph", + "runs", + ] + } + + +# endregion Batch + + +# region Queue Items + +DEFAULT_QUEUE_ID = "default" + +QUEUE_ITEM_STATUS = Literal["pending", "in_progress", "completed", "failed", "canceled"] + + +def get_field_values(queue_item_dict: dict) -> Optional[list[NodeFieldValue]]: + field_values_raw = queue_item_dict.get("field_values", None) + return parse_raw_as(list[NodeFieldValue], field_values_raw) if field_values_raw is not None else None + + +def get_session(queue_item_dict: dict) -> GraphExecutionState: + session_raw = queue_item_dict.get("session", "{}") + return parse_raw_as(GraphExecutionState, session_raw) + + +class SessionQueueItemWithoutGraph(BaseModel): + """Session queue item without the full graph. Used for serialization.""" + + item_id: int = Field(description="The identifier of the session queue item") + status: QUEUE_ITEM_STATUS = Field(default="pending", description="The status of this queue item") + priority: int = Field(default=0, description="The priority of this queue item") + batch_id: str = Field(description="The ID of the batch associated with this queue item") + session_id: str = Field( + description="The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed." + ) + field_values: Optional[list[NodeFieldValue]] = Field( + default=None, description="The field values that were used for this queue item" + ) + queue_id: str = Field(description="The id of the queue with which this item is associated") + error: Optional[str] = Field(default=None, description="The error message if this queue item errored") + created_at: Union[datetime.datetime, str] = Field(description="When this queue item was created") + updated_at: Union[datetime.datetime, str] = Field(description="When this queue item was updated") + started_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was started") + completed_at: Optional[Union[datetime.datetime, str]] = Field(description="When this queue item was completed") + + @classmethod + def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO": + # must parse these manually + queue_item_dict["field_values"] = get_field_values(queue_item_dict) + return SessionQueueItemDTO(**queue_item_dict) + + class Config: + schema_extra = { + "required": [ + "item_id", + "status", + "batch_id", + "queue_id", + "session_id", + "priority", + "session_id", + "created_at", + "updated_at", + ] + } + + +class SessionQueueItemDTO(SessionQueueItemWithoutGraph): + pass + + +class SessionQueueItem(SessionQueueItemWithoutGraph): + session: GraphExecutionState = Field(description="The fully-populated session to be executed") + + @classmethod + def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItem": + # must parse these manually + queue_item_dict["field_values"] = get_field_values(queue_item_dict) + queue_item_dict["session"] = get_session(queue_item_dict) + return SessionQueueItem(**queue_item_dict) + + class Config: + schema_extra = { + "required": [ + "item_id", + "status", + "batch_id", + "queue_id", + "session_id", + "session", + "priority", + "session_id", + "created_at", + "updated_at", + ] + } + + +# endregion Queue Items + +# region Query Results + + +class SessionQueueStatus(BaseModel): + queue_id: str = Field(..., description="The ID of the queue") + item_id: Optional[int] = Field(description="The current queue item id") + batch_id: Optional[str] = Field(description="The current queue item's batch id") + session_id: Optional[str] = Field(description="The current queue item's session id") + pending: int = Field(..., description="Number of queue items with status 'pending'") + in_progress: int = Field(..., description="Number of queue items with status 'in_progress'") + completed: int = Field(..., description="Number of queue items with status 'complete'") + failed: int = Field(..., description="Number of queue items with status 'error'") + canceled: int = Field(..., description="Number of queue items with status 'canceled'") + total: int = Field(..., description="Total number of queue items") + + +class BatchStatus(BaseModel): + queue_id: str = Field(..., description="The ID of the queue") + batch_id: str = Field(..., description="The ID of the batch") + pending: int = Field(..., description="Number of queue items with status 'pending'") + in_progress: int = Field(..., description="Number of queue items with status 'in_progress'") + completed: int = Field(..., description="Number of queue items with status 'complete'") + failed: int = Field(..., description="Number of queue items with status 'error'") + canceled: int = Field(..., description="Number of queue items with status 'canceled'") + total: int = Field(..., description="Total number of queue items") + + +class EnqueueBatchResult(BaseModel): + queue_id: str = Field(description="The ID of the queue") + enqueued: int = Field(description="The total number of queue items enqueued") + requested: int = Field(description="The total number of queue items requested to be enqueued") + batch: Batch = Field(description="The batch that was enqueued") + priority: int = Field(description="The priority of the enqueued batch") + + +class EnqueueGraphResult(BaseModel): + enqueued: int = Field(description="The total number of queue items enqueued") + requested: int = Field(description="The total number of queue items requested to be enqueued") + batch: Batch = Field(description="The batch that was enqueued") + priority: int = Field(description="The priority of the enqueued batch") + queue_item: SessionQueueItemDTO = Field(description="The queue item that was enqueued") + + +class ClearResult(BaseModel): + """Result of clearing the session queue""" + + deleted: int = Field(..., description="Number of queue items deleted") + + +class PruneResult(ClearResult): + """Result of pruning the session queue""" + + pass + + +class CancelByBatchIDsResult(BaseModel): + """Result of canceling by list of batch ids""" + + canceled: int = Field(..., description="Number of queue items canceled") + + +class CancelByQueueIDResult(CancelByBatchIDsResult): + """Result of canceling by queue id""" + + pass + + +class IsEmptyResult(BaseModel): + """Result of checking if the session queue is empty""" + + is_empty: bool = Field(..., description="Whether the session queue is empty") + + +class IsFullResult(BaseModel): + """Result of checking if the session queue is full""" + + is_full: bool = Field(..., description="Whether the session queue is full") + + +# endregion Query Results + + +# region Util + + +def populate_graph(graph: Graph, node_field_values: Iterable[NodeFieldValue]) -> Graph: + """ + Populates the given graph with the given batch data items. + """ + graph_clone = graph.copy(deep=True) + for item in node_field_values: + node = graph_clone.get_node(item.node_path) + if node is None: + continue + setattr(node, item.field_name, item.value) + graph_clone.update_node(item.node_path, node) + return graph_clone + + +def create_session_nfv_tuples( + batch: Batch, maximum: int +) -> Generator[tuple[GraphExecutionState, list[NodeFieldValue]], None, None]: + """ + Create all graph permutations from the given batch data and graph. Yields tuples + of the form (graph, batch_data_items) where batch_data_items is the list of BatchDataItems + that was applied to the graph. + """ + + # TODO: Should this be a class method on Batch? + + data: list[list[tuple[NodeFieldValue]]] = [] + batch_data_collection = batch.data if batch.data is not None else [] + for batch_datum_list in batch_data_collection: + # each batch_datum_list needs to be convered to NodeFieldValues and then zipped + + node_field_values_to_zip: list[list[NodeFieldValue]] = [] + for batch_datum in batch_datum_list: + node_field_values = [ + NodeFieldValue(node_path=batch_datum.node_path, field_name=batch_datum.field_name, value=item) + for item in batch_datum.items + ] + node_field_values_to_zip.append(node_field_values) + data.append(list(zip(*node_field_values_to_zip))) + + # create generator to yield session,nfv tuples + count = 0 + for _ in range(batch.runs): + for d in product(*data): + if count >= maximum: + return + flat_node_field_values = list(chain.from_iterable(d)) + graph = populate_graph(batch.graph, flat_node_field_values) + yield (GraphExecutionState(graph=graph), flat_node_field_values) + count += 1 + + +def calc_session_count(batch: Batch) -> int: + """ + Calculates the number of sessions that would be created by the batch, without incurring + the overhead of actually generating them. Adapted from `create_sessions(). + """ + # TODO: Should this be a class method on Batch? + if not batch.data: + return batch.runs + data = [] + for batch_datum_list in batch.data: + to_zip = [] + for batch_datum in batch_datum_list: + batch_data_items = range(len(batch_datum.items)) + to_zip.append(batch_data_items) + data.append(list(zip(*to_zip))) + data_product = list(product(*data)) + return len(data_product) * batch.runs + + +class SessionQueueValueToInsert(NamedTuple): + """A tuple of values to insert into the session_queue table""" + + queue_id: str # queue_id + session: str # session json + session_id: str # session_id + batch_id: str # batch_id + field_values: Optional[str] # field_values json + priority: int # priority + + +ValuesToInsert: TypeAlias = list[SessionQueueValueToInsert] + + +def prepare_values_to_insert(queue_id: str, batch: Batch, priority: int, max_new_queue_items: int) -> ValuesToInsert: + values_to_insert: ValuesToInsert = [] + for session, field_values in create_session_nfv_tuples(batch, max_new_queue_items): + # sessions must have unique id + session.id = uuid_string() + values_to_insert.append( + SessionQueueValueToInsert( + queue_id, # queue_id + session.json(), # session (json) + session.id, # session_id + batch.batch_id, # batch_id + # must use pydantic_encoder bc field_values is a list of models + json.dumps(field_values, default=pydantic_encoder) if field_values else None, # field_values (json) + priority, # priority + ) + ) + return values_to_insert + + +# endregion Util diff --git a/invokeai/app/services/session_queue/session_queue_sqlite.py b/invokeai/app/services/session_queue/session_queue_sqlite.py new file mode 100644 index 0000000000..e1701aa288 --- /dev/null +++ b/invokeai/app/services/session_queue/session_queue_sqlite.py @@ -0,0 +1,816 @@ +import sqlite3 +import threading +from typing import Optional, Union, cast + +from fastapi_events.handlers.local import local_handler +from fastapi_events.typing import Event as FastAPIEvent + +from invokeai.app.services.events import EventServiceBase +from invokeai.app.services.graph import Graph +from invokeai.app.services.invoker import Invoker +from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase +from invokeai.app.services.session_queue.session_queue_common import ( + DEFAULT_QUEUE_ID, + QUEUE_ITEM_STATUS, + Batch, + BatchStatus, + CancelByBatchIDsResult, + CancelByQueueIDResult, + ClearResult, + EnqueueBatchResult, + EnqueueGraphResult, + IsEmptyResult, + IsFullResult, + PruneResult, + SessionQueueItem, + SessionQueueItemDTO, + SessionQueueItemNotFoundError, + SessionQueueStatus, + calc_session_count, + prepare_values_to_insert, +) +from invokeai.app.services.shared.models import CursorPaginatedResults + + +class SqliteSessionQueue(SessionQueueBase): + __invoker: Invoker + __conn: sqlite3.Connection + __cursor: sqlite3.Cursor + __lock: threading.Lock + + def start(self, invoker: Invoker) -> None: + self.__invoker = invoker + self._set_in_progress_to_canceled() + prune_result = self.prune(DEFAULT_QUEUE_ID) + local_handler.register(event_name=EventServiceBase.queue_event, _func=self._on_session_event) + self.__invoker.services.logger.info(f"Pruned {prune_result.deleted} finished queue items") + + def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None: + super().__init__() + self.__conn = conn + # Enable row factory to get rows as dictionaries (must be done before making the cursor!) + self.__conn.row_factory = sqlite3.Row + self.__cursor = self.__conn.cursor() + self.__lock = lock + self._create_tables() + + def _match_event_name(self, event: FastAPIEvent, match_in: list[str]) -> bool: + return event[1]["event"] in match_in + + async def _on_session_event(self, event: FastAPIEvent) -> FastAPIEvent: + event_name = event[1]["event"] + match event_name: + case "graph_execution_state_complete": + await self._handle_complete_event(event) + case "invocation_error" | "session_retrieval_error" | "invocation_retrieval_error": + await self._handle_error_event(event) + case "session_canceled": + await self._handle_cancel_event(event) + return event + + async def _handle_complete_event(self, event: FastAPIEvent) -> None: + try: + item_id = event[1]["data"]["queue_item_id"] + # When a queue item has an error, we get an error event, then a completed event. + # Mark the queue item completed only if it isn't already marked completed, e.g. + # by a previously-handled error event. + queue_item = self.get_queue_item(item_id) + if queue_item.status not in ["completed", "failed", "canceled"]: + queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="completed") + self.__invoker.services.events.emit_queue_item_status_changed(queue_item) + except SessionQueueItemNotFoundError: + return + + async def _handle_error_event(self, event: FastAPIEvent) -> None: + try: + item_id = event[1]["data"]["queue_item_id"] + error = event[1]["data"]["error"] + queue_item = self.get_queue_item(item_id) + queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="failed", error=error) + self.__invoker.services.events.emit_queue_item_status_changed(queue_item) + except SessionQueueItemNotFoundError: + return + + async def _handle_cancel_event(self, event: FastAPIEvent) -> None: + try: + item_id = event[1]["data"]["queue_item_id"] + queue_item = self.get_queue_item(item_id) + queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="canceled") + self.__invoker.services.events.emit_queue_item_status_changed(queue_item) + except SessionQueueItemNotFoundError: + return + + def _create_tables(self) -> None: + """Creates the session queue tables, indicies, and triggers""" + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + CREATE TABLE IF NOT EXISTS session_queue ( + item_id INTEGER PRIMARY KEY AUTOINCREMENT, -- used for ordering, cursor pagination + batch_id TEXT NOT NULL, -- identifier of the batch this queue item belongs to + queue_id TEXT NOT NULL, -- identifier of the queue this queue item belongs to + session_id TEXT NOT NULL UNIQUE, -- duplicated data from the session column, for ease of access + field_values TEXT, -- NULL if no values are associated with this queue item + session TEXT NOT NULL, -- the session to be executed + status TEXT NOT NULL DEFAULT 'pending', -- the status of the queue item, one of 'pending', 'in_progress', 'completed', 'failed', 'canceled' + priority INTEGER NOT NULL DEFAULT 0, -- the priority, higher is more important + error TEXT, -- any errors associated with this queue item + created_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), + updated_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')), -- updated via trigger + started_at DATETIME, -- updated via trigger + completed_at DATETIME -- updated via trigger, completed items are cleaned up on application startup + -- Ideally this is a FK, but graph_executions uses INSERT OR REPLACE, and REPLACE triggers the ON DELETE CASCADE... + -- FOREIGN KEY (session_id) REFERENCES graph_executions (id) ON DELETE CASCADE + ); + """ + ) + + self.__cursor.execute( + """--sql + CREATE UNIQUE INDEX IF NOT EXISTS idx_session_queue_item_id ON session_queue(item_id); + """ + ) + + self.__cursor.execute( + """--sql + CREATE UNIQUE INDEX IF NOT EXISTS idx_session_queue_session_id ON session_queue(session_id); + """ + ) + + self.__cursor.execute( + """--sql + CREATE INDEX IF NOT EXISTS idx_session_queue_batch_id ON session_queue(batch_id); + """ + ) + + self.__cursor.execute( + """--sql + CREATE INDEX IF NOT EXISTS idx_session_queue_created_priority ON session_queue(priority); + """ + ) + + self.__cursor.execute( + """--sql + CREATE INDEX IF NOT EXISTS idx_session_queue_created_status ON session_queue(status); + """ + ) + + self.__cursor.execute( + """--sql + CREATE TRIGGER IF NOT EXISTS tg_session_queue_completed_at + AFTER UPDATE OF status ON session_queue + FOR EACH ROW + WHEN + NEW.status = 'completed' + OR NEW.status = 'failed' + OR NEW.status = 'canceled' + BEGIN + UPDATE session_queue + SET completed_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW') + WHERE item_id = NEW.item_id; + END; + """ + ) + + self.__cursor.execute( + """--sql + CREATE TRIGGER IF NOT EXISTS tg_session_queue_started_at + AFTER UPDATE OF status ON session_queue + FOR EACH ROW + WHEN + NEW.status = 'in_progress' + BEGIN + UPDATE session_queue + SET started_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW') + WHERE item_id = NEW.item_id; + END; + """ + ) + + self.__cursor.execute( + """--sql + CREATE TRIGGER IF NOT EXISTS tg_session_queue_updated_at + AFTER UPDATE + ON session_queue FOR EACH ROW + BEGIN + UPDATE session_queue + SET updated_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW') + WHERE item_id = old.item_id; + END; + """ + ) + + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + + def _set_in_progress_to_canceled(self) -> None: + """ + Sets all in_progress queue items to canceled. Run on app startup, not associated with any queue. + This is necessary because the invoker may have been killed while processing a queue item. + """ + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + UPDATE session_queue + SET status = 'canceled' + WHERE status = 'in_progress'; + """ + ) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + + def _get_current_queue_size(self, queue_id: str) -> int: + """Gets the current number of pending queue items""" + self.__cursor.execute( + """--sql + SELECT count(*) + FROM session_queue + WHERE + queue_id = ? + AND status = 'pending' + """, + (queue_id,), + ) + return cast(int, self.__cursor.fetchone()[0]) + + def _get_highest_priority(self, queue_id: str) -> int: + """Gets the highest priority value in the queue""" + self.__cursor.execute( + """--sql + SELECT MAX(priority) + FROM session_queue + WHERE + queue_id = ? + AND status = 'pending' + """, + (queue_id,), + ) + return cast(Union[int, None], self.__cursor.fetchone()[0]) or 0 + + def enqueue_graph(self, queue_id: str, graph: Graph, prepend: bool) -> EnqueueGraphResult: + enqueue_result = self.enqueue_batch(queue_id=queue_id, batch=Batch(graph=graph), prepend=prepend) + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT * + FROM session_queue + WHERE queue_id = ? + AND batch_id = ? + """, + (queue_id, enqueue_result.batch.batch_id), + ) + result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + if result is None: + raise SessionQueueItemNotFoundError(f"No queue item with batch id {enqueue_result.batch.batch_id}") + return EnqueueGraphResult( + **enqueue_result.dict(), + queue_item=SessionQueueItemDTO.from_dict(dict(result)), + ) + + def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult: + try: + self.__lock.acquire() + + # TODO: how does this work in a multi-user scenario? + current_queue_size = self._get_current_queue_size(queue_id) + max_queue_size = self.__invoker.services.configuration.get_config().max_queue_size + max_new_queue_items = max_queue_size - current_queue_size + + priority = 0 + if prepend: + priority = self._get_highest_priority(queue_id) + 1 + + requested_count = calc_session_count(batch) + values_to_insert = prepare_values_to_insert( + queue_id=queue_id, + batch=batch, + priority=priority, + max_new_queue_items=max_new_queue_items, + ) + enqueued_count = len(values_to_insert) + + if requested_count > enqueued_count: + values_to_insert = values_to_insert[:max_new_queue_items] + + self.__cursor.executemany( + """--sql + INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority) + VALUES (?, ?, ?, ?, ?, ?) + """, + values_to_insert, + ) + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + enqueue_result = EnqueueBatchResult( + queue_id=queue_id, + requested=requested_count, + enqueued=enqueued_count, + batch=batch, + priority=priority, + ) + self.__invoker.services.events.emit_batch_enqueued(enqueue_result) + return enqueue_result + + def dequeue(self) -> Optional[SessionQueueItem]: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT * + FROM session_queue + WHERE status = 'pending' + ORDER BY + priority DESC, + item_id ASC + LIMIT 1 + """ + ) + result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + if result is None: + return None + queue_item = SessionQueueItem.from_dict(dict(result)) + queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="in_progress") + self.__invoker.services.events.emit_queue_item_status_changed(queue_item) + return queue_item + + def get_next(self, queue_id: str) -> Optional[SessionQueueItem]: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT * + FROM session_queue + WHERE + queue_id = ? + AND status = 'pending' + ORDER BY + priority DESC, + created_at ASC + LIMIT 1 + """, + (queue_id,), + ) + result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + if result is None: + return None + return SessionQueueItem.from_dict(dict(result)) + + def get_current(self, queue_id: str) -> Optional[SessionQueueItem]: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT * + FROM session_queue + WHERE + queue_id = ? + AND status = 'in_progress' + LIMIT 1 + """, + (queue_id,), + ) + result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + if result is None: + return None + return SessionQueueItem.from_dict(dict(result)) + + def _set_queue_item_status( + self, item_id: int, status: QUEUE_ITEM_STATUS, error: Optional[str] = None + ) -> SessionQueueItem: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + UPDATE session_queue + SET status = ?, error = ? + WHERE item_id = ? + """, + (status, error, item_id), + ) + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return self.get_queue_item(item_id) + + def is_empty(self, queue_id: str) -> IsEmptyResult: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT count(*) + FROM session_queue + WHERE queue_id = ? + """, + (queue_id,), + ) + is_empty = cast(int, self.__cursor.fetchone()[0]) == 0 + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return IsEmptyResult(is_empty=is_empty) + + def is_full(self, queue_id: str) -> IsFullResult: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT count(*) + FROM session_queue + WHERE queue_id = ? + """, + (queue_id,), + ) + max_queue_size = self.__invoker.services.configuration.max_queue_size + is_full = cast(int, self.__cursor.fetchone()[0]) >= max_queue_size + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return IsFullResult(is_full=is_full) + + def delete_queue_item(self, item_id: int) -> SessionQueueItem: + queue_item = self.get_queue_item(item_id=item_id) + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + DELETE FROM session_queue + WHERE + item_id = ? + """, + (item_id,), + ) + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return queue_item + + def clear(self, queue_id: str) -> ClearResult: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT COUNT(*) + FROM session_queue + WHERE queue_id = ? + """, + (queue_id,), + ) + count = self.__cursor.fetchone()[0] + self.__cursor.execute( + """--sql + DELETE + FROM session_queue + WHERE queue_id = ? + """, + (queue_id,), + ) + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + self.__invoker.services.events.emit_queue_cleared(queue_id) + return ClearResult(deleted=count) + + def prune(self, queue_id: str) -> PruneResult: + try: + where = """--sql + WHERE + queue_id = ? + AND ( + status = 'completed' + OR status = 'failed' + OR status = 'canceled' + ) + """ + self.__lock.acquire() + self.__cursor.execute( + f"""--sql + SELECT COUNT(*) + FROM session_queue + {where}; + """, + (queue_id,), + ) + count = self.__cursor.fetchone()[0] + self.__cursor.execute( + f"""--sql + DELETE + FROM session_queue + {where}; + """, + (queue_id,), + ) + self.__conn.commit() + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return PruneResult(deleted=count) + + def cancel_queue_item(self, item_id: int) -> SessionQueueItem: + queue_item = self.get_queue_item(item_id) + if queue_item.status not in ["canceled", "failed", "completed"]: + queue_item = self._set_queue_item_status(item_id=item_id, status="canceled") + self.__invoker.services.queue.cancel(queue_item.session_id) + self.__invoker.services.events.emit_session_canceled( + queue_item_id=queue_item.item_id, + queue_id=queue_item.queue_id, + queue_batch_id=queue_item.batch_id, + graph_execution_state_id=queue_item.session_id, + ) + self.__invoker.services.events.emit_queue_item_status_changed(queue_item) + return queue_item + + def cancel_by_batch_ids(self, queue_id: str, batch_ids: list[str]) -> CancelByBatchIDsResult: + try: + current_queue_item = self.get_current(queue_id) + self.__lock.acquire() + placeholders = ", ".join(["?" for _ in batch_ids]) + where = f"""--sql + WHERE + queue_id == ? + AND batch_id IN ({placeholders}) + AND status != 'canceled' + AND status != 'completed' + AND status != 'failed' + """ + params = [queue_id] + batch_ids + self.__cursor.execute( + f"""--sql + SELECT COUNT(*) + FROM session_queue + {where}; + """, + tuple(params), + ) + count = self.__cursor.fetchone()[0] + self.__cursor.execute( + f"""--sql + UPDATE session_queue + SET status = 'canceled' + {where}; + """, + tuple(params), + ) + self.__conn.commit() + if current_queue_item is not None and current_queue_item.batch_id in batch_ids: + self.__invoker.services.queue.cancel(current_queue_item.session_id) + self.__invoker.services.events.emit_session_canceled( + queue_item_id=current_queue_item.item_id, + queue_id=current_queue_item.queue_id, + queue_batch_id=current_queue_item.batch_id, + graph_execution_state_id=current_queue_item.session_id, + ) + self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return CancelByBatchIDsResult(canceled=count) + + def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult: + try: + current_queue_item = self.get_current(queue_id) + self.__lock.acquire() + where = """--sql + WHERE + queue_id is ? + AND status != 'canceled' + AND status != 'completed' + AND status != 'failed' + """ + params = [queue_id] + self.__cursor.execute( + f"""--sql + SELECT COUNT(*) + FROM session_queue + {where}; + """, + tuple(params), + ) + count = self.__cursor.fetchone()[0] + self.__cursor.execute( + f"""--sql + UPDATE session_queue + SET status = 'canceled' + {where}; + """, + tuple(params), + ) + self.__conn.commit() + if current_queue_item is not None and current_queue_item.queue_id == queue_id: + self.__invoker.services.queue.cancel(current_queue_item.session_id) + self.__invoker.services.events.emit_session_canceled( + queue_item_id=current_queue_item.item_id, + queue_id=current_queue_item.queue_id, + queue_batch_id=current_queue_item.batch_id, + graph_execution_state_id=current_queue_item.session_id, + ) + self.__invoker.services.events.emit_queue_item_status_changed(current_queue_item) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return CancelByQueueIDResult(canceled=count) + + def get_queue_item(self, item_id: int) -> SessionQueueItem: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT * FROM session_queue + WHERE + item_id = ? + """, + (item_id,), + ) + result = cast(Union[sqlite3.Row, None], self.__cursor.fetchone()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + if result is None: + raise SessionQueueItemNotFoundError(f"No queue item with id {item_id}") + return SessionQueueItem.from_dict(dict(result)) + + def list_queue_items( + self, + queue_id: str, + limit: int, + priority: int, + cursor: Optional[int] = None, + status: Optional[QUEUE_ITEM_STATUS] = None, + ) -> CursorPaginatedResults[SessionQueueItemDTO]: + try: + item_id = cursor + self.__lock.acquire() + query = """--sql + SELECT item_id, + status, + priority, + field_values, + error, + created_at, + updated_at, + completed_at, + started_at, + session_id, + batch_id, + queue_id + FROM session_queue + WHERE queue_id = ? + """ + params: list[Union[str, int]] = [queue_id] + + if status is not None: + query += """--sql + AND status = ? + """ + params.append(status) + + if item_id is not None: + query += """--sql + AND (priority < ?) OR (priority = ? AND item_id > ?) + """ + params.extend([priority, priority, item_id]) + + query += """--sql + ORDER BY + priority DESC, + item_id ASC + LIMIT ? + """ + params.append(limit + 1) + self.__cursor.execute(query, params) + results = cast(list[sqlite3.Row], self.__cursor.fetchall()) + items = [SessionQueueItemDTO.from_dict(dict(result)) for result in results] + has_more = False + if len(items) > limit: + # remove the extra item + items.pop() + has_more = True + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + return CursorPaginatedResults(items=items, limit=limit, has_more=has_more) + + def get_queue_status(self, queue_id: str) -> SessionQueueStatus: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT status, count(*) + FROM session_queue + WHERE queue_id = ? + GROUP BY status + """, + (queue_id,), + ) + counts_result = cast(list[sqlite3.Row], self.__cursor.fetchall()) + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + + current_item = self.get_current(queue_id=queue_id) + total = sum(row[1] for row in counts_result) + counts: dict[str, int] = {row[0]: row[1] for row in counts_result} + return SessionQueueStatus( + queue_id=queue_id, + item_id=current_item.item_id if current_item else None, + session_id=current_item.session_id if current_item else None, + batch_id=current_item.batch_id if current_item else None, + pending=counts.get("pending", 0), + in_progress=counts.get("in_progress", 0), + completed=counts.get("completed", 0), + failed=counts.get("failed", 0), + canceled=counts.get("canceled", 0), + total=total, + ) + + def get_batch_status(self, queue_id: str, batch_id: str) -> BatchStatus: + try: + self.__lock.acquire() + self.__cursor.execute( + """--sql + SELECT status, count(*) + FROM session_queue + WHERE + queue_id = ? + AND batch_id = ? + GROUP BY status + """, + (queue_id, batch_id), + ) + result = cast(list[sqlite3.Row], self.__cursor.fetchall()) + total = sum(row[1] for row in result) + counts: dict[str, int] = {row[0]: row[1] for row in result} + except Exception: + self.__conn.rollback() + raise + finally: + self.__lock.release() + + return BatchStatus( + batch_id=batch_id, + queue_id=queue_id, + pending=counts.get("pending", 0), + in_progress=counts.get("in_progress", 0), + completed=counts.get("completed", 0), + failed=counts.get("failed", 0), + canceled=counts.get("canceled", 0), + total=total, + ) diff --git a/invokeai/app/services/shared/models.py b/invokeai/app/services/shared/models.py new file mode 100644 index 0000000000..7edde152c3 --- /dev/null +++ b/invokeai/app/services/shared/models.py @@ -0,0 +1,14 @@ +from typing import Generic, TypeVar + +from pydantic import BaseModel, Field +from pydantic.generics import GenericModel + +GenericBaseModel = TypeVar("GenericBaseModel", bound=BaseModel) + + +class CursorPaginatedResults(GenericModel, Generic[GenericBaseModel]): + """Cursor-paginated results""" + + limit: int = Field(..., description="Limit of items to get") + has_more: bool = Field(..., description="Whether there are more items available") + items: list[GenericBaseModel] = Field(..., description="Items") diff --git a/invokeai/app/services/sqlite.py b/invokeai/app/services/sqlite.py index 3c46b1c2a0..63f3356b3c 100644 --- a/invokeai/app/services/sqlite.py +++ b/invokeai/app/services/sqlite.py @@ -1,5 +1,5 @@ import sqlite3 -from threading import Lock +import threading from typing import Generic, Optional, TypeVar, get_args from pydantic import BaseModel, parse_raw_as @@ -12,23 +12,19 @@ sqlite_memory = ":memory:" class SqliteItemStorage(ItemStorageABC, Generic[T]): - _filename: str _table_name: str _conn: sqlite3.Connection _cursor: sqlite3.Cursor _id_field: str - _lock: Lock + _lock: threading.Lock - def __init__(self, filename: str, table_name: str, id_field: str = "id"): + def __init__(self, conn: sqlite3.Connection, table_name: str, lock: threading.Lock, id_field: str = "id"): super().__init__() - self._filename = filename self._table_name = table_name self._id_field = id_field # TODO: validate that T has this field - self._lock = Lock() - self._conn = sqlite3.connect( - self._filename, check_same_thread=False - ) # TODO: figure out a better threading solution + self._lock = lock + self._conn = conn self._cursor = self._conn.cursor() self._create_table() @@ -49,8 +45,7 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]): def _parse_item(self, item: str) -> T: item_type = get_args(self.__orig_class__)[0] - parsed = parse_raw_as(item_type, item) - return parsed + return parse_raw_as(item_type, item) def set(self, item: T): try: diff --git a/invokeai/app/services/thread.py b/invokeai/app/services/thread.py new file mode 100644 index 0000000000..3fd88295b1 --- /dev/null +++ b/invokeai/app/services/thread.py @@ -0,0 +1,3 @@ +import threading + +lock = threading.Lock() diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py index b42b2246b8..6d56652ed4 100644 --- a/invokeai/app/util/misc.py +++ b/invokeai/app/util/misc.py @@ -1,4 +1,5 @@ import datetime +import uuid import numpy as np @@ -21,3 +22,8 @@ SEED_MAX = np.iinfo(np.uint32).max def get_random_seed(): rng = np.random.default_rng(seed=None) return int(rng.integers(0, SEED_MAX)) + + +def uuid_string(): + res = uuid.uuid4() + return str(res) diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py index 26de809d1c..6d4a857491 100644 --- a/invokeai/app/util/step_callback.py +++ b/invokeai/app/util/step_callback.py @@ -110,6 +110,9 @@ def stable_diffusion_step_callback( dataURL = image_to_dataURL(image, image_format="JPEG") context.services.events.emit_generator_progress( + queue_id=context.queue_id, + queue_item_id=context.queue_item_id, + queue_batch_id=context.queue_batch_id, graph_execution_state_id=context.graph_execution_state_id, node=node, source_node_id=source_node_id, diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py index 6c9eb548ab..667111047f 100644 --- a/invokeai/backend/install/model_install_backend.py +++ b/invokeai/backend/install/model_install_backend.py @@ -326,6 +326,16 @@ class ModelInstall(object): elif f"learned_embeds.{suffix}" in files: location = self._download_hf_model(repo_id, [f"learned_embeds.{suffix}"], staging) break + elif "image_encoder.txt" in files and f"ip_adapter.{suffix}" in files: # IP-Adapter + files = ["image_encoder.txt", f"ip_adapter.{suffix}"] + location = self._download_hf_model(repo_id, files, staging) + break + elif f"model.{suffix}" in files and "config.json" in files: + # This elif-condition is pretty fragile, but it is intended to handle CLIP Vision models hosted + # by InvokeAI for use with IP-Adapters. + files = ["config.json", f"model.{suffix}"] + location = self._download_hf_model(repo_id, files, staging) + break if not location: logger.warning(f"Could not determine type of repo {repo_id}. Skipping install.") return {} @@ -534,14 +544,17 @@ def hf_download_with_resume( logger.info(f"{model_name}: Downloading...") try: - with open(model_dest, open_mode) as file, tqdm( - desc=model_name, - initial=exist_size, - total=total + exist_size, - unit="iB", - unit_scale=True, - unit_divisor=1000, - ) as bar: + with ( + open(model_dest, open_mode) as file, + tqdm( + desc=model_name, + initial=exist_size, + total=total + exist_size, + unit="iB", + unit_scale=True, + unit_divisor=1000, + ) as bar, + ): for data in resp.iter_content(chunk_size=1024): size = file.write(data) bar.update(size) diff --git a/invokeai/backend/ip_adapter/README.md b/invokeai/backend/ip_adapter/README.md new file mode 100644 index 0000000000..81b90d8e12 --- /dev/null +++ b/invokeai/backend/ip_adapter/README.md @@ -0,0 +1,45 @@ +# IP-Adapter Model Formats + +The official IP-Adapter models are released here: [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) + +This official model repo does not integrate well with InvokeAI's current approach to model management, so we have defined a new file structure for IP-Adapter models. The InvokeAI format is described below. + +## CLIP Vision Models + +CLIP Vision models are organized in `diffusers`` format. The expected directory structure is: + +```bash +ip_adapter_sd_image_encoder/ +├── config.json +└── model.safetensors +``` + +## IP-Adapter Models + +IP-Adapter models are stored in a directory containing two files +- `image_encoder.txt`: A text file containing the model identifier for the CLIP Vision encoder that is intended to be used with this IP-Adapter model. +- `ip_adapter.bin`: The IP-Adapter weights. + +Sample directory structure: +```bash +ip_adapter_sd15/ +├── image_encoder.txt +└── ip_adapter.bin +``` + +### Why save the weights in a .safetensors file? + +The weights in `ip_adapter.bin` are stored in a nested dict, which is not supported by `safetensors`. This could be solved by splitting `ip_adapter.bin` into multiple files, but for now we have decided to maintain consistency with the checkpoint structure used in the official [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) repo. + +## InvokeAI Hosted IP-Adapters + +Image Encoders: +- [InvokeAI/ip_adapter_sd_image_encoder](https://huggingface.co/InvokeAI/ip_adapter_sd_image_encoder) +- [InvokeAI/ip_adapter_sdxl_image_encoder](https://huggingface.co/InvokeAI/ip_adapter_sdxl_image_encoder) + +IP-Adapters: +- [InvokeAI/ip_adapter_sd15](https://huggingface.co/InvokeAI/ip_adapter_sd15) +- [InvokeAI/ip_adapter_plus_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_sd15) +- [InvokeAI/ip_adapter_plus_face_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_face_sd15) +- [InvokeAI/ip_adapter_sdxl](https://huggingface.co/InvokeAI/ip_adapter_sdxl) +- Not yet supported: [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h) \ No newline at end of file diff --git a/invokeai/backend/ip_adapter/__init__.py b/invokeai/backend/ip_adapter/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/backend/ip_adapter/attention_processor.py b/invokeai/backend/ip_adapter/attention_processor.py new file mode 100644 index 0000000000..352183d1f0 --- /dev/null +++ b/invokeai/backend/ip_adapter/attention_processor.py @@ -0,0 +1,162 @@ +# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0) +# and modified as needed + +# tencent-ailab comment: +# modified from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py +import torch +import torch.nn as nn +import torch.nn.functional as F +from diffusers.models.attention_processor import AttnProcessor2_0 as DiffusersAttnProcessor2_0 + + +# Create a version of AttnProcessor2_0 that is a sub-class of nn.Module. This is required for IP-Adapter state_dict +# loading. +class AttnProcessor2_0(DiffusersAttnProcessor2_0, nn.Module): + def __init__(self): + DiffusersAttnProcessor2_0.__init__(self) + nn.Module.__init__(self) + + def __call__( + self, + attn, + hidden_states, + encoder_hidden_states=None, + attention_mask=None, + temb=None, + ip_adapter_image_prompt_embeds=None, + ): + """Re-definition of DiffusersAttnProcessor2_0.__call__(...) that accepts and ignores the + ip_adapter_image_prompt_embeds parameter. + """ + return DiffusersAttnProcessor2_0.__call__( + self, attn, hidden_states, encoder_hidden_states, attention_mask, temb + ) + + +class IPAttnProcessor2_0(torch.nn.Module): + r""" + Attention processor for IP-Adapater for PyTorch 2.0. + Args: + hidden_size (`int`): + The hidden size of the attention layer. + cross_attention_dim (`int`): + The number of channels in the `encoder_hidden_states`. + scale (`float`, defaults to 1.0): + the weight scale of image prompt. + """ + + def __init__(self, hidden_size, cross_attention_dim=None, scale=1.0): + super().__init__() + + if not hasattr(F, "scaled_dot_product_attention"): + raise ImportError("AttnProcessor2_0 requires PyTorch 2.0, to use it, please upgrade PyTorch to 2.0.") + + self.hidden_size = hidden_size + self.cross_attention_dim = cross_attention_dim + self.scale = scale + + self.to_k_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False) + self.to_v_ip = nn.Linear(cross_attention_dim or hidden_size, hidden_size, bias=False) + + def __call__( + self, + attn, + hidden_states, + encoder_hidden_states=None, + attention_mask=None, + temb=None, + ip_adapter_image_prompt_embeds=None, + ): + if encoder_hidden_states is not None: + # If encoder_hidden_states is not None, then we are doing cross-attention, not self-attention. In this case, + # we will apply IP-Adapter conditioning. We validate the inputs for IP-Adapter conditioning here. + assert ip_adapter_image_prompt_embeds is not None + # The batch dimensions should match. + assert ip_adapter_image_prompt_embeds.shape[0] == encoder_hidden_states.shape[0] + # The channel dimensions should match. + assert ip_adapter_image_prompt_embeds.shape[2] == encoder_hidden_states.shape[2] + ip_hidden_states = ip_adapter_image_prompt_embeds + + residual = hidden_states + + if attn.spatial_norm is not None: + hidden_states = attn.spatial_norm(hidden_states, temb) + + input_ndim = hidden_states.ndim + + if input_ndim == 4: + batch_size, channel, height, width = hidden_states.shape + hidden_states = hidden_states.view(batch_size, channel, height * width).transpose(1, 2) + + batch_size, sequence_length, _ = ( + hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape + ) + + if attention_mask is not None: + attention_mask = attn.prepare_attention_mask(attention_mask, sequence_length, batch_size) + # scaled_dot_product_attention expects attention_mask shape to be + # (batch, heads, source_length, target_length) + attention_mask = attention_mask.view(batch_size, attn.heads, -1, attention_mask.shape[-1]) + + if attn.group_norm is not None: + hidden_states = attn.group_norm(hidden_states.transpose(1, 2)).transpose(1, 2) + + query = attn.to_q(hidden_states) + + if encoder_hidden_states is None: + encoder_hidden_states = hidden_states + elif attn.norm_cross: + encoder_hidden_states = attn.norm_encoder_hidden_states(encoder_hidden_states) + + key = attn.to_k(encoder_hidden_states) + value = attn.to_v(encoder_hidden_states) + + inner_dim = key.shape[-1] + head_dim = inner_dim // attn.heads + + query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + + key = key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + value = value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + + # the output of sdp = (batch, num_heads, seq_len, head_dim) + # TODO: add support for attn.scale when we move to Torch 2.1 + hidden_states = F.scaled_dot_product_attention( + query, key, value, attn_mask=attention_mask, dropout_p=0.0, is_causal=False + ) + + hidden_states = hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim) + hidden_states = hidden_states.to(query.dtype) + + if ip_hidden_states is not None: + ip_key = self.to_k_ip(ip_hidden_states) + ip_value = self.to_v_ip(ip_hidden_states) + + ip_key = ip_key.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + ip_value = ip_value.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) + + # the output of sdp = (batch, num_heads, seq_len, head_dim) + # TODO: add support for attn.scale when we move to Torch 2.1 + ip_hidden_states = F.scaled_dot_product_attention( + query, ip_key, ip_value, attn_mask=None, dropout_p=0.0, is_causal=False + ) + + ip_hidden_states = ip_hidden_states.transpose(1, 2).reshape(batch_size, -1, attn.heads * head_dim) + ip_hidden_states = ip_hidden_states.to(query.dtype) + + hidden_states = hidden_states + self.scale * ip_hidden_states + + # linear proj + hidden_states = attn.to_out[0](hidden_states) + # dropout + hidden_states = attn.to_out[1](hidden_states) + + if input_ndim == 4: + hidden_states = hidden_states.transpose(-1, -2).reshape(batch_size, channel, height, width) + + if attn.residual_connection: + hidden_states = hidden_states + residual + + hidden_states = hidden_states / attn.rescale_output_factor + + return hidden_states diff --git a/invokeai/backend/ip_adapter/ip_adapter.py b/invokeai/backend/ip_adapter/ip_adapter.py new file mode 100644 index 0000000000..7f320a2c35 --- /dev/null +++ b/invokeai/backend/ip_adapter/ip_adapter.py @@ -0,0 +1,217 @@ +# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0) +# and modified as needed + +from contextlib import contextmanager +from typing import Optional, Union + +import torch +from diffusers.models import UNet2DConditionModel +from PIL import Image +from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection + +from .attention_processor import AttnProcessor2_0, IPAttnProcessor2_0 +from .resampler import Resampler + + +class ImageProjModel(torch.nn.Module): + """Image Projection Model""" + + def __init__(self, cross_attention_dim=1024, clip_embeddings_dim=1024, clip_extra_context_tokens=4): + super().__init__() + + self.cross_attention_dim = cross_attention_dim + self.clip_extra_context_tokens = clip_extra_context_tokens + self.proj = torch.nn.Linear(clip_embeddings_dim, self.clip_extra_context_tokens * cross_attention_dim) + self.norm = torch.nn.LayerNorm(cross_attention_dim) + + @classmethod + def from_state_dict(cls, state_dict: dict[torch.Tensor], clip_extra_context_tokens=4): + """Initialize an ImageProjModel from a state_dict. + + The cross_attention_dim and clip_embeddings_dim are inferred from the shape of the tensors in the state_dict. + + Args: + state_dict (dict[torch.Tensor]): The state_dict of model weights. + clip_extra_context_tokens (int, optional): Defaults to 4. + + Returns: + ImageProjModel + """ + cross_attention_dim = state_dict["norm.weight"].shape[0] + clip_embeddings_dim = state_dict["proj.weight"].shape[-1] + + model = cls(cross_attention_dim, clip_embeddings_dim, clip_extra_context_tokens) + + model.load_state_dict(state_dict) + return model + + def forward(self, image_embeds): + embeds = image_embeds + clip_extra_context_tokens = self.proj(embeds).reshape( + -1, self.clip_extra_context_tokens, self.cross_attention_dim + ) + clip_extra_context_tokens = self.norm(clip_extra_context_tokens) + return clip_extra_context_tokens + + +class IPAdapter: + """IP-Adapter: https://arxiv.org/pdf/2308.06721.pdf""" + + def __init__( + self, + state_dict: dict[torch.Tensor], + device: torch.device, + dtype: torch.dtype = torch.float16, + num_tokens: int = 4, + ): + self.device = device + self.dtype = dtype + + self._num_tokens = num_tokens + + self._clip_image_processor = CLIPImageProcessor() + + self._state_dict = state_dict + + self._image_proj_model = self._init_image_proj_model(self._state_dict["image_proj"]) + + # The _attn_processors will be initialized later when we have access to the UNet. + self._attn_processors = None + + def to(self, device: torch.device, dtype: Optional[torch.dtype] = None): + self.device = device + if dtype is not None: + self.dtype = dtype + + self._image_proj_model.to(device=self.device, dtype=self.dtype) + if self._attn_processors is not None: + torch.nn.ModuleList(self._attn_processors.values()).to(device=self.device, dtype=self.dtype) + + def _init_image_proj_model(self, state_dict): + return ImageProjModel.from_state_dict(state_dict, self._num_tokens).to(self.device, dtype=self.dtype) + + def _prepare_attention_processors(self, unet: UNet2DConditionModel): + """Prepare a dict of attention processors that can later be injected into a unet, and load the IP-Adapter + attention weights into them. + + Note that the `unet` param is only used to determine attention block dimensions and naming. + TODO(ryand): As a future improvement, this could all be inferred from the state_dict when the IPAdapter is + intialized. + """ + attn_procs = {} + for name in unet.attn_processors.keys(): + cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim + if name.startswith("mid_block"): + hidden_size = unet.config.block_out_channels[-1] + elif name.startswith("up_blocks"): + block_id = int(name[len("up_blocks.")]) + hidden_size = list(reversed(unet.config.block_out_channels))[block_id] + elif name.startswith("down_blocks"): + block_id = int(name[len("down_blocks.")]) + hidden_size = unet.config.block_out_channels[block_id] + if cross_attention_dim is None: + attn_procs[name] = AttnProcessor2_0() + else: + attn_procs[name] = IPAttnProcessor2_0( + hidden_size=hidden_size, + cross_attention_dim=cross_attention_dim, + scale=1.0, + ).to(self.device, dtype=self.dtype) + + ip_layers = torch.nn.ModuleList(attn_procs.values()) + ip_layers.load_state_dict(self._state_dict["ip_adapter"]) + self._attn_processors = attn_procs + self._state_dict = None + + # @genomancer: pushed scaling back out into its own method (like original Tencent implementation) + # which makes implementing begin_step_percent and end_step_percent easier + # but based on self._attn_processors (ala @Ryan) instead of original Tencent unet.attn_processors, + # which should make it easier to implement multiple IPAdapters + def set_scale(self, scale): + if self._attn_processors is not None: + for attn_processor in self._attn_processors.values(): + if isinstance(attn_processor, IPAttnProcessor2_0): + attn_processor.scale = scale + + @contextmanager + def apply_ip_adapter_attention(self, unet: UNet2DConditionModel, scale: float): + """A context manager that patches `unet` with this IP-Adapter's attention processors while it is active. + + Yields: + None + """ + if self._attn_processors is None: + # We only have to call _prepare_attention_processors(...) once, and then the result is cached and can be + # used on any UNet model (with the same dimensions). + self._prepare_attention_processors(unet) + + # Set scale + self.set_scale(scale) + # for attn_processor in self._attn_processors.values(): + # if isinstance(attn_processor, IPAttnProcessor2_0): + # attn_processor.scale = scale + + orig_attn_processors = unet.attn_processors + + # Make a (moderately-) shallow copy of the self._attn_processors dict, because unet.set_attn_processor(...) + # actually pops elements from the passed dict. + ip_adapter_attn_processors = {k: v for k, v in self._attn_processors.items()} + + try: + unet.set_attn_processor(ip_adapter_attn_processors) + yield None + finally: + unet.set_attn_processor(orig_attn_processors) + + @torch.inference_mode() + def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection): + if isinstance(pil_image, Image.Image): + pil_image = [pil_image] + clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values + clip_image_embeds = image_encoder(clip_image.to(self.device, dtype=self.dtype)).image_embeds + image_prompt_embeds = self._image_proj_model(clip_image_embeds) + uncond_image_prompt_embeds = self._image_proj_model(torch.zeros_like(clip_image_embeds)) + return image_prompt_embeds, uncond_image_prompt_embeds + + +class IPAdapterPlus(IPAdapter): + """IP-Adapter with fine-grained features""" + + def _init_image_proj_model(self, state_dict): + return Resampler.from_state_dict( + state_dict=state_dict, + depth=4, + dim_head=64, + heads=12, + num_queries=self._num_tokens, + ff_mult=4, + ).to(self.device, dtype=self.dtype) + + @torch.inference_mode() + def get_image_embeds(self, pil_image, image_encoder: CLIPVisionModelWithProjection): + if isinstance(pil_image, Image.Image): + pil_image = [pil_image] + clip_image = self._clip_image_processor(images=pil_image, return_tensors="pt").pixel_values + clip_image = clip_image.to(self.device, dtype=self.dtype) + clip_image_embeds = image_encoder(clip_image, output_hidden_states=True).hidden_states[-2] + image_prompt_embeds = self._image_proj_model(clip_image_embeds) + uncond_clip_image_embeds = image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[ + -2 + ] + uncond_image_prompt_embeds = self._image_proj_model(uncond_clip_image_embeds) + return image_prompt_embeds, uncond_image_prompt_embeds + + +def build_ip_adapter( + ip_adapter_ckpt_path: str, device: torch.device, dtype: torch.dtype = torch.float16 +) -> Union[IPAdapter, IPAdapterPlus]: + state_dict = torch.load(ip_adapter_ckpt_path, map_location="cpu") + + # Determine if the state_dict is from an IPAdapter or IPAdapterPlus based on the image_proj weights that it + # contains. + is_plus = "proj.weight" not in state_dict["image_proj"] + + if is_plus: + return IPAdapterPlus(state_dict, device=device, dtype=dtype) + else: + return IPAdapter(state_dict, device=device, dtype=dtype) diff --git a/invokeai/backend/ip_adapter/resampler.py b/invokeai/backend/ip_adapter/resampler.py new file mode 100644 index 0000000000..84224fd359 --- /dev/null +++ b/invokeai/backend/ip_adapter/resampler.py @@ -0,0 +1,158 @@ +# copied from https://github.com/tencent-ailab/IP-Adapter (Apache License 2.0) + +# tencent ailab comment: modified from +# https://github.com/mlfoundations/open_flamingo/blob/main/open_flamingo/src/helpers.py +import math + +import torch +import torch.nn as nn + + +# FFN +def FeedForward(dim, mult=4): + inner_dim = int(dim * mult) + return nn.Sequential( + nn.LayerNorm(dim), + nn.Linear(dim, inner_dim, bias=False), + nn.GELU(), + nn.Linear(inner_dim, dim, bias=False), + ) + + +def reshape_tensor(x, heads): + bs, length, width = x.shape + # (bs, length, width) --> (bs, length, n_heads, dim_per_head) + x = x.view(bs, length, heads, -1) + # (bs, length, n_heads, dim_per_head) --> (bs, n_heads, length, dim_per_head) + x = x.transpose(1, 2) + # (bs, n_heads, length, dim_per_head) --> (bs*n_heads, length, dim_per_head) + x = x.reshape(bs, heads, length, -1) + return x + + +class PerceiverAttention(nn.Module): + def __init__(self, *, dim, dim_head=64, heads=8): + super().__init__() + self.scale = dim_head**-0.5 + self.dim_head = dim_head + self.heads = heads + inner_dim = dim_head * heads + + self.norm1 = nn.LayerNorm(dim) + self.norm2 = nn.LayerNorm(dim) + + self.to_q = nn.Linear(dim, inner_dim, bias=False) + self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False) + self.to_out = nn.Linear(inner_dim, dim, bias=False) + + def forward(self, x, latents): + """ + Args: + x (torch.Tensor): image features + shape (b, n1, D) + latent (torch.Tensor): latent features + shape (b, n2, D) + """ + x = self.norm1(x) + latents = self.norm2(latents) + + b, l, _ = latents.shape + + q = self.to_q(latents) + kv_input = torch.cat((x, latents), dim=-2) + k, v = self.to_kv(kv_input).chunk(2, dim=-1) + + q = reshape_tensor(q, self.heads) + k = reshape_tensor(k, self.heads) + v = reshape_tensor(v, self.heads) + + # attention + scale = 1 / math.sqrt(math.sqrt(self.dim_head)) + weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards + weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype) + out = weight @ v + + out = out.permute(0, 2, 1, 3).reshape(b, l, -1) + + return self.to_out(out) + + +class Resampler(nn.Module): + def __init__( + self, + dim=1024, + depth=8, + dim_head=64, + heads=16, + num_queries=8, + embedding_dim=768, + output_dim=1024, + ff_mult=4, + ): + super().__init__() + + self.latents = nn.Parameter(torch.randn(1, num_queries, dim) / dim**0.5) + + self.proj_in = nn.Linear(embedding_dim, dim) + + self.proj_out = nn.Linear(dim, output_dim) + self.norm_out = nn.LayerNorm(output_dim) + + self.layers = nn.ModuleList([]) + for _ in range(depth): + self.layers.append( + nn.ModuleList( + [ + PerceiverAttention(dim=dim, dim_head=dim_head, heads=heads), + FeedForward(dim=dim, mult=ff_mult), + ] + ) + ) + + @classmethod + def from_state_dict(cls, state_dict: dict[torch.Tensor], depth=8, dim_head=64, heads=16, num_queries=8, ff_mult=4): + """A convenience function that initializes a Resampler from a state_dict. + + Some of the shape parameters are inferred from the state_dict (e.g. dim, embedding_dim, etc.). At the time of + writing, we did not have a need for inferring ALL of the shape parameters from the state_dict, but this would be + possible if needed in the future. + + Args: + state_dict (dict[torch.Tensor]): The state_dict to load. + depth (int, optional): + dim_head (int, optional): + heads (int, optional): + ff_mult (int, optional): + + Returns: + Resampler + """ + dim = state_dict["latents"].shape[2] + num_queries = state_dict["latents"].shape[1] + embedding_dim = state_dict["proj_in.weight"].shape[-1] + output_dim = state_dict["norm_out.weight"].shape[0] + + model = cls( + dim=dim, + depth=depth, + dim_head=dim_head, + heads=heads, + num_queries=num_queries, + embedding_dim=embedding_dim, + output_dim=output_dim, + ff_mult=ff_mult, + ) + model.load_state_dict(state_dict) + return model + + def forward(self, x): + latents = self.latents.repeat(x.size(0), 1, 1) + + x = self.proj_in(x) + + for attn, ff in self.layers: + latents = attn(x, latents) + latents + latents = ff(latents) + latents + + latents = self.proj_out(latents) + return self.norm_out(latents) diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py index e39ed6bf61..7bb188cb4e 100644 --- a/invokeai/backend/model_management/model_manager.py +++ b/invokeai/backend/model_management/model_manager.py @@ -25,6 +25,7 @@ Models are described using four attributes: ModelType.Lora -- a LoRA or LyCORIS fine-tune ModelType.TextualInversion -- a textual inversion embedding ModelType.ControlNet -- a ControlNet model + ModelType.IPAdapter -- an IPAdapter model 3) BaseModelType -- an enum indicating the stable diffusion base model, one of: BaseModelType.StableDiffusion1 @@ -1000,8 +1001,8 @@ class ModelManager(object): new_models_found = True except DuplicateModelException as e: self.logger.warning(e) - except InvalidModelException: - self.logger.warning(f"Not a valid model: {model_path}") + except InvalidModelException as e: + self.logger.warning(f"Not a valid model: {model_path}. {e}") except NotImplementedError as e: self.logger.warning(e) diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py index bf6f882428..358ba4f29d 100644 --- a/invokeai/backend/model_management/model_probe.py +++ b/invokeai/backend/model_management/model_probe.py @@ -8,6 +8,8 @@ import torch from diffusers import ConfigMixin, ModelMixin from picklescan.scanner import scan_file_path +from invokeai.backend.model_management.models.ip_adapter import IPAdapterModelFormat + from .models import ( BaseModelType, InvalidModelException, @@ -53,6 +55,7 @@ class ModelProbe(object): "AutoencoderKL": ModelType.Vae, "AutoencoderTiny": ModelType.Vae, "ControlNetModel": ModelType.ControlNet, + "CLIPVisionModelWithProjection": ModelType.CLIPVision, } @classmethod @@ -119,14 +122,18 @@ class ModelProbe(object): and prediction_type == SchedulerPredictionType.VPrediction ), format=format, - image_size=1024 - if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner}) - else 768 - if ( - base_type == BaseModelType.StableDiffusion2 - and prediction_type == SchedulerPredictionType.VPrediction - ) - else 512, + image_size=( + 1024 + if (base_type in {BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner}) + else ( + 768 + if ( + base_type == BaseModelType.StableDiffusion2 + and prediction_type == SchedulerPredictionType.VPrediction + ) + else 512 + ) + ), ) except Exception: raise @@ -179,9 +186,10 @@ class ModelProbe(object): return ModelType.ONNX if (folder_path / "learned_embeds.bin").exists(): return ModelType.TextualInversion - if (folder_path / "pytorch_lora_weights.bin").exists(): return ModelType.Lora + if (folder_path / "image_encoder.txt").exists(): + return ModelType.IPAdapter i = folder_path / "model_index.json" c = folder_path / "config.json" @@ -190,7 +198,12 @@ class ModelProbe(object): if config_path: with open(config_path, "r") as file: conf = json.load(file) - class_name = conf["_class_name"] + if "_class_name" in conf: + class_name = conf["_class_name"] + elif "architectures" in conf: + class_name = conf["architectures"][0] + else: + class_name = None else: error_hint = f"No model_index.json or config.json found in {folder_path}." @@ -374,6 +387,16 @@ class ControlNetCheckpointProbe(CheckpointProbeBase): raise InvalidModelException("Unable to determine base type for {self.checkpoint_path}") +class IPAdapterCheckpointProbe(CheckpointProbeBase): + def get_base_type(self) -> BaseModelType: + raise NotImplementedError() + + +class CLIPVisionCheckpointProbe(CheckpointProbeBase): + def get_base_type(self) -> BaseModelType: + raise NotImplementedError() + + ######################################################## # classes for probing folders ####################################################### @@ -493,11 +516,13 @@ class ControlNetFolderProbe(FolderProbeBase): base_model = ( BaseModelType.StableDiffusion1 if dimension == 768 - else BaseModelType.StableDiffusion2 - if dimension == 1024 - else BaseModelType.StableDiffusionXL - if dimension == 2048 - else None + else ( + BaseModelType.StableDiffusion2 + if dimension == 1024 + else BaseModelType.StableDiffusionXL + if dimension == 2048 + else None + ) ) if not base_model: raise InvalidModelException(f"Unable to determine model base for {self.folder_path}") @@ -517,15 +542,47 @@ class LoRAFolderProbe(FolderProbeBase): return LoRACheckpointProbe(model_file, None).get_base_type() +class IPAdapterFolderProbe(FolderProbeBase): + def get_format(self) -> str: + return IPAdapterModelFormat.InvokeAI.value + + def get_base_type(self) -> BaseModelType: + model_file = self.folder_path / "ip_adapter.bin" + if not model_file.exists(): + raise InvalidModelException("Unknown IP-Adapter model format.") + + state_dict = torch.load(model_file, map_location="cpu") + cross_attention_dim = state_dict["ip_adapter"]["1.to_k_ip.weight"].shape[-1] + if cross_attention_dim == 768: + return BaseModelType.StableDiffusion1 + elif cross_attention_dim == 1024: + return BaseModelType.StableDiffusion2 + elif cross_attention_dim == 2048: + return BaseModelType.StableDiffusionXL + else: + raise InvalidModelException(f"IP-Adapter had unexpected cross-attention dimension: {cross_attention_dim}.") + + +class CLIPVisionFolderProbe(FolderProbeBase): + def get_base_type(self) -> BaseModelType: + return BaseModelType.Any + + ############## register probe classes ###### ModelProbe.register_probe("diffusers", ModelType.Main, PipelineFolderProbe) ModelProbe.register_probe("diffusers", ModelType.Vae, VaeFolderProbe) ModelProbe.register_probe("diffusers", ModelType.Lora, LoRAFolderProbe) ModelProbe.register_probe("diffusers", ModelType.TextualInversion, TextualInversionFolderProbe) ModelProbe.register_probe("diffusers", ModelType.ControlNet, ControlNetFolderProbe) +ModelProbe.register_probe("diffusers", ModelType.IPAdapter, IPAdapterFolderProbe) +ModelProbe.register_probe("diffusers", ModelType.CLIPVision, CLIPVisionFolderProbe) + ModelProbe.register_probe("checkpoint", ModelType.Main, PipelineCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.Vae, VaeCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.Lora, LoRACheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.TextualInversion, TextualInversionCheckpointProbe) ModelProbe.register_probe("checkpoint", ModelType.ControlNet, ControlNetCheckpointProbe) +ModelProbe.register_probe("checkpoint", ModelType.IPAdapter, IPAdapterCheckpointProbe) +ModelProbe.register_probe("checkpoint", ModelType.CLIPVision, CLIPVisionCheckpointProbe) + ModelProbe.register_probe("onnx", ModelType.ONNX, ONNXFolderProbe) diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py index f4dd8b7739..3cded73d80 100644 --- a/invokeai/backend/model_management/model_search.py +++ b/invokeai/backend/model_management/model_search.py @@ -79,7 +79,7 @@ class ModelSearch(ABC): self._models_found += 1 self._scanned_dirs.add(path) except Exception as e: - self.logger.warning(str(e)) + self.logger.warning(f"Failed to process '{path}': {e}") for f in files: path = Path(root) / f @@ -90,7 +90,7 @@ class ModelSearch(ABC): self.on_model_found(path) self._models_found += 1 except Exception as e: - self.logger.warning(str(e)) + self.logger.warning(f"Failed to process '{path}': {e}") class FindModels(ModelSearch): diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py index 695e9b0ec0..d361301554 100644 --- a/invokeai/backend/model_management/models/__init__.py +++ b/invokeai/backend/model_management/models/__init__.py @@ -18,7 +18,9 @@ from .base import ( # noqa: F401 SilenceWarnings, SubModelType, ) +from .clip_vision import CLIPVisionModel from .controlnet import ControlNetModel # TODO: +from .ip_adapter import IPAdapterModel from .lora import LoRAModel from .sdxl import StableDiffusionXLModel from .stable_diffusion import StableDiffusion1Model, StableDiffusion2Model @@ -34,6 +36,8 @@ MODEL_CLASSES = { ModelType.Lora: LoRAModel, ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusion2: { ModelType.ONNX: ONNXStableDiffusion2Model, @@ -42,6 +46,8 @@ MODEL_CLASSES = { ModelType.Lora: LoRAModel, ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusionXL: { ModelType.Main: StableDiffusionXLModel, @@ -51,6 +57,8 @@ MODEL_CLASSES = { ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, }, BaseModelType.StableDiffusionXLRefiner: { ModelType.Main: StableDiffusionXLModel, @@ -60,6 +68,19 @@ MODEL_CLASSES = { ModelType.ControlNet: ControlNetModel, ModelType.TextualInversion: TextualInversionModel, ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.IPAdapter: IPAdapterModel, + ModelType.CLIPVision: CLIPVisionModel, + }, + BaseModelType.Any: { + ModelType.CLIPVision: CLIPVisionModel, + # The following model types are not expected to be used with BaseModelType.Any. + ModelType.ONNX: ONNXStableDiffusion2Model, + ModelType.Main: StableDiffusion2Model, + ModelType.Vae: VaeModel, + ModelType.Lora: LoRAModel, + ModelType.ControlNet: ControlNetModel, + ModelType.TextualInversion: TextualInversionModel, + ModelType.IPAdapter: IPAdapterModel, }, # BaseModelType.Kandinsky2_1: { # ModelType.Main: Kandinsky2_1Model, diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py index d704c56103..45b018af90 100644 --- a/invokeai/backend/model_management/models/base.py +++ b/invokeai/backend/model_management/models/base.py @@ -36,6 +36,7 @@ class ModelNotFoundException(Exception): class BaseModelType(str, Enum): + Any = "any" # For models that are not associated with any particular base model. StableDiffusion1 = "sd-1" StableDiffusion2 = "sd-2" StableDiffusionXL = "sdxl" @@ -50,6 +51,8 @@ class ModelType(str, Enum): Lora = "lora" ControlNet = "controlnet" # used by model_probe TextualInversion = "embedding" + IPAdapter = "ip_adapter" + CLIPVision = "clip_vision" class SubModelType(str, Enum): diff --git a/invokeai/backend/model_management/models/clip_vision.py b/invokeai/backend/model_management/models/clip_vision.py new file mode 100644 index 0000000000..2276c6beed --- /dev/null +++ b/invokeai/backend/model_management/models/clip_vision.py @@ -0,0 +1,82 @@ +import os +from enum import Enum +from typing import Literal, Optional + +import torch +from transformers import CLIPVisionModelWithProjection + +from invokeai.backend.model_management.models.base import ( + BaseModelType, + InvalidModelException, + ModelBase, + ModelConfigBase, + ModelType, + SubModelType, + calc_model_size_by_data, + calc_model_size_by_fs, + classproperty, +) + + +class CLIPVisionModelFormat(str, Enum): + Diffusers = "diffusers" + + +class CLIPVisionModel(ModelBase): + class DiffusersConfig(ModelConfigBase): + model_format: Literal[CLIPVisionModelFormat.Diffusers] + + def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType): + assert model_type == ModelType.CLIPVision + super().__init__(model_path, base_model, model_type) + + self.model_size = calc_model_size_by_fs(self.model_path) + + @classmethod + def detect_format(cls, path: str) -> str: + if not os.path.exists(path): + raise ModuleNotFoundError(f"No CLIP Vision model at path '{path}'.") + + if os.path.isdir(path) and os.path.exists(os.path.join(path, "config.json")): + return CLIPVisionModelFormat.Diffusers + + raise InvalidModelException(f"Unexpected CLIP Vision model format: {path}") + + @classproperty + def save_to_config(cls) -> bool: + return True + + def get_size(self, child_type: Optional[SubModelType] = None) -> int: + if child_type is not None: + raise ValueError("There are no child models in a CLIP Vision model.") + + return self.model_size + + def get_model( + self, + torch_dtype: Optional[torch.dtype], + child_type: Optional[SubModelType] = None, + ) -> CLIPVisionModelWithProjection: + if child_type is not None: + raise ValueError("There are no child models in a CLIP Vision model.") + + model = CLIPVisionModelWithProjection.from_pretrained(self.model_path, torch_dtype=torch_dtype) + + # Calculate a more accurate model size. + self.model_size = calc_model_size_by_data(model) + + return model + + @classmethod + def convert_if_required( + cls, + model_path: str, + output_path: str, + config: ModelConfigBase, + base_model: BaseModelType, + ) -> str: + format = cls.detect_format(model_path) + if format == CLIPVisionModelFormat.Diffusers: + return model_path + else: + raise ValueError(f"Unsupported format: '{format}'.") diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py new file mode 100644 index 0000000000..8e1e97c9e0 --- /dev/null +++ b/invokeai/backend/model_management/models/ip_adapter.py @@ -0,0 +1,92 @@ +import os +import typing +from enum import Enum +from typing import Literal, Optional + +import torch + +from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, build_ip_adapter +from invokeai.backend.model_management.models.base import ( + BaseModelType, + InvalidModelException, + ModelBase, + ModelConfigBase, + ModelType, + SubModelType, + classproperty, +) + + +class IPAdapterModelFormat(str, Enum): + # The custom IP-Adapter model format defined by InvokeAI. + InvokeAI = "invokeai" + + +class IPAdapterModel(ModelBase): + class InvokeAIConfig(ModelConfigBase): + model_format: Literal[IPAdapterModelFormat.InvokeAI] + + def __init__(self, model_path: str, base_model: BaseModelType, model_type: ModelType): + assert model_type == ModelType.IPAdapter + super().__init__(model_path, base_model, model_type) + + self.model_size = os.path.getsize(self.model_path) + + @classmethod + def detect_format(cls, path: str) -> str: + if not os.path.exists(path): + raise ModuleNotFoundError(f"No IP-Adapter model at path '{path}'.") + + if os.path.isdir(path): + model_file = os.path.join(path, "ip_adapter.bin") + image_encoder_config_file = os.path.join(path, "image_encoder.txt") + if os.path.exists(model_file) and os.path.exists(image_encoder_config_file): + return IPAdapterModelFormat.InvokeAI + + raise InvalidModelException(f"Unexpected IP-Adapter model format: {path}") + + @classproperty + def save_to_config(cls) -> bool: + return True + + def get_size(self, child_type: Optional[SubModelType] = None) -> int: + if child_type is not None: + raise ValueError("There are no child models in an IP-Adapter model.") + + return self.model_size + + def get_model( + self, + torch_dtype: Optional[torch.dtype], + child_type: Optional[SubModelType] = None, + ) -> typing.Union[IPAdapter, IPAdapterPlus]: + if child_type is not None: + raise ValueError("There are no child models in an IP-Adapter model.") + + return build_ip_adapter( + ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype + ) + + @classmethod + def convert_if_required( + cls, + model_path: str, + output_path: str, + config: ModelConfigBase, + base_model: BaseModelType, + ) -> str: + format = cls.detect_format(model_path) + if format == IPAdapterModelFormat.InvokeAI: + return model_path + else: + raise ValueError(f"Unsupported format: '{format}'.") + + +def get_ip_adapter_image_encoder_model_id(model_path: str): + """Read the ID of the image encoder associated with the IP-Adapter at `model_path`.""" + image_encoder_config_file = os.path.join(model_path, "image_encoder.txt") + + with open(image_encoder_config_file, "r") as f: + image_encoder_model = f.readline().strip() + + return image_encoder_model diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py index 9e2b49bf09..212045f81b 100644 --- a/invokeai/backend/stable_diffusion/__init__.py +++ b/invokeai/backend/stable_diffusion/__init__.py @@ -1,15 +1,6 @@ """ Initialization file for the invokeai.backend.stable_diffusion package """ -from .diffusers_pipeline import ( # noqa: F401 - ConditioningData, - PipelineIntermediateState, - StableDiffusionGeneratorPipeline, -) +from .diffusers_pipeline import PipelineIntermediateState, StableDiffusionGeneratorPipeline # noqa: F401 from .diffusion import InvokeAIDiffuserComponent # noqa: F401 from .diffusion.cross_attention_map_saving import AttentionMapSaver # noqa: F401 -from .diffusion.shared_invokeai_diffusion import ( # noqa: F401 - BasicConditioningInfo, - PostprocessingSettings, - SDXLConditioningInfo, -) diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py index fc4442c2d6..150481747a 100644 --- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py +++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py @@ -1,8 +1,8 @@ from __future__ import annotations -import dataclasses -import inspect -from dataclasses import dataclass, field +import math +from contextlib import nullcontext +from dataclasses import dataclass from typing import Any, Callable, List, Optional, Union import einops @@ -23,9 +23,11 @@ from pydantic import Field from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.backend.ip_adapter.ip_adapter import IPAdapter +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningData from ..util import auto_detect_slice_size, normalize_device -from .diffusion import AttentionMapSaver, BasicConditioningInfo, InvokeAIDiffuserComponent, PostprocessingSettings +from .diffusion import AttentionMapSaver, InvokeAIDiffuserComponent @dataclass @@ -95,7 +97,7 @@ class AddsMaskGuidance: # Mask anything that has the same shape as prev_sample, return others as-is. return output_class( { - k: (self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v) + k: self.apply_mask(v, self._t_for_field(k, t)) if are_like_tensors(prev_sample, v) else v for k, v in step_output.items() } ) @@ -162,39 +164,13 @@ class ControlNetData: @dataclass -class ConditioningData: - unconditioned_embeddings: BasicConditioningInfo - text_embeddings: BasicConditioningInfo - guidance_scale: Union[float, List[float]] - """ - Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). - `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf). - Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate - images that are closely linked to the text `prompt`, usually at the expense of lower image quality. - """ - extra: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo] = None - scheduler_args: dict[str, Any] = field(default_factory=dict) - """ - Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing(). - """ - postprocessing_settings: Optional[PostprocessingSettings] = None - - @property - def dtype(self): - return self.text_embeddings.dtype - - def add_scheduler_args_if_applicable(self, scheduler, **kwargs): - scheduler_args = dict(self.scheduler_args) - step_method = inspect.signature(scheduler.step) - for name, value in kwargs.items(): - try: - step_method.bind_partial(**{name: value}) - except TypeError: - # FIXME: don't silently discard arguments - pass # debug("%s does not accept argument named %r", scheduler, name) - else: - scheduler_args[name] = value - return dataclasses.replace(self, scheduler_args=scheduler_args) +class IPAdapterData: + ip_adapter_model: IPAdapter = Field(default=None) + # TODO: change to polymorphic so can do different weights per step (once implemented...) + weight: Union[float, List[float]] = Field(default=1.0) + # weight: float = Field(default=1.0) + begin_step_percent: float = Field(default=0.0) + end_step_percent: float = Field(default=1.0) @dataclass @@ -277,6 +253,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): ) self.invokeai_diffuser = InvokeAIDiffuserComponent(self.unet, self._unet_forward) self.control_model = control_model + self.use_ip_adapter = False def _adjust_memory_efficient_attention(self, latents: torch.Tensor): """ @@ -349,6 +326,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): additional_guidance: List[Callable] = None, callback: Callable[[PipelineIntermediateState], None] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, mask: Optional[torch.Tensor] = None, masked_latents: Optional[torch.Tensor] = None, seed: Optional[int] = None, @@ -400,6 +378,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): conditioning_data, additional_guidance=additional_guidance, control_data=control_data, + ip_adapter_data=ip_adapter_data, callback=callback, ) finally: @@ -419,6 +398,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): *, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, callback: Callable[[PipelineIntermediateState], None] = None, ): self._adjust_memory_efficient_attention(latents) @@ -431,12 +411,26 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): if timesteps.shape[0] == 0: return latents, attention_map_saver - extra_conditioning_info = conditioning_data.extra - with self.invokeai_diffuser.custom_attention_context( - self.invokeai_diffuser.model, - extra_conditioning_info=extra_conditioning_info, - step_count=len(self.scheduler.timesteps), - ): + if conditioning_data.extra is not None and conditioning_data.extra.wants_cross_attention_control: + attn_ctx = self.invokeai_diffuser.custom_attention_context( + self.invokeai_diffuser.model, + extra_conditioning_info=conditioning_data.extra, + step_count=len(self.scheduler.timesteps), + ) + self.use_ip_adapter = False + elif ip_adapter_data is not None: + # TODO(ryand): Should we raise an exception if both custom attention and IP-Adapter attention are active? + # As it is now, the IP-Adapter will silently be skipped. + weight = ip_adapter_data.weight[0] if isinstance(ip_adapter_data.weight, List) else ip_adapter_data.weight + attn_ctx = ip_adapter_data.ip_adapter_model.apply_ip_adapter_attention( + unet=self.invokeai_diffuser.model, + scale=weight, + ) + self.use_ip_adapter = True + else: + attn_ctx = nullcontext() + + with attn_ctx: if callback is not None: callback( PipelineIntermediateState( @@ -459,6 +453,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count=len(timesteps), additional_guidance=additional_guidance, control_data=control_data, + ip_adapter_data=ip_adapter_data, ) latents = step_output.prev_sample @@ -504,6 +499,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): total_step_count: int, additional_guidance: List[Callable] = None, control_data: List[ControlNetData] = None, + ip_adapter_data: Optional[IPAdapterData] = None, ): # invokeai_diffuser has batched timesteps, but diffusers schedulers expect a single value timestep = t[0] @@ -514,6 +510,24 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline): # i.e. before or after passing it to InvokeAIDiffuserComponent latent_model_input = self.scheduler.scale_model_input(latents, timestep) + # handle IP-Adapter + if self.use_ip_adapter and ip_adapter_data is not None: # somewhat redundant but logic is clearer + first_adapter_step = math.floor(ip_adapter_data.begin_step_percent * total_step_count) + last_adapter_step = math.ceil(ip_adapter_data.end_step_percent * total_step_count) + weight = ( + ip_adapter_data.weight[step_index] + if isinstance(ip_adapter_data.weight, List) + else ip_adapter_data.weight + ) + if step_index >= first_adapter_step and step_index <= last_adapter_step: + # only apply IP-Adapter if current step is within the IP-Adapter's begin/end step range + # ip_adapter_data.ip_adapter_model.set_scale(ip_adapter_data.weight) + ip_adapter_data.ip_adapter_model.set_scale(weight) + else: + # otherwise, set IP-Adapter scale to 0, so it has no effect + ip_adapter_data.ip_adapter_model.set_scale(0.0) + + # handle ControlNet(s) # default is no controlnet, so set controlnet processing output to None controlnet_down_block_samples, controlnet_mid_block_sample = None, None if control_data is not None: diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py index 137e32cff5..00e6f1b916 100644 --- a/invokeai/backend/stable_diffusion/diffusion/__init__.py +++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py @@ -3,9 +3,4 @@ Initialization file for invokeai.models.diffusion """ from .cross_attention_control import InvokeAICrossAttentionMixin # noqa: F401 from .cross_attention_map_saving import AttentionMapSaver # noqa: F401 -from .shared_invokeai_diffusion import ( # noqa: F401 - BasicConditioningInfo, - InvokeAIDiffuserComponent, - PostprocessingSettings, - SDXLConditioningInfo, -) +from .shared_invokeai_diffusion import InvokeAIDiffuserComponent # noqa: F401 diff --git a/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py new file mode 100644 index 0000000000..a8398e58ff --- /dev/null +++ b/invokeai/backend/stable_diffusion/diffusion/conditioning_data.py @@ -0,0 +1,101 @@ +import dataclasses +import inspect +from dataclasses import dataclass, field +from typing import Any, List, Optional, Union + +import torch + +from .cross_attention_control import Arguments + + +@dataclass +class ExtraConditioningInfo: + tokens_count_including_eos_bos: int + cross_attention_control_args: Optional[Arguments] = None + + @property + def wants_cross_attention_control(self): + return self.cross_attention_control_args is not None + + +@dataclass +class BasicConditioningInfo: + embeds: torch.Tensor + # TODO(ryand): Right now we awkwardly copy the extra conditioning info from here up to `ConditioningData`. This + # should only be stored in one place. + extra_conditioning: Optional[ExtraConditioningInfo] + # weight: float + # mode: ConditioningAlgo + + def to(self, device, dtype=None): + self.embeds = self.embeds.to(device=device, dtype=dtype) + return self + + +@dataclass +class SDXLConditioningInfo(BasicConditioningInfo): + pooled_embeds: torch.Tensor + add_time_ids: torch.Tensor + + def to(self, device, dtype=None): + self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype) + self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype) + return super().to(device=device, dtype=dtype) + + +@dataclass(frozen=True) +class PostprocessingSettings: + threshold: float + warmup: float + h_symmetry_time_pct: Optional[float] + v_symmetry_time_pct: Optional[float] + + +@dataclass +class IPAdapterConditioningInfo: + cond_image_prompt_embeds: torch.Tensor + """IP-Adapter image encoder conditioning embeddings. + Shape: (batch_size, num_tokens, encoding_dim). + """ + uncond_image_prompt_embeds: torch.Tensor + """IP-Adapter image encoding embeddings to use for unconditional generation. + Shape: (batch_size, num_tokens, encoding_dim). + """ + + +@dataclass +class ConditioningData: + unconditioned_embeddings: BasicConditioningInfo + text_embeddings: BasicConditioningInfo + guidance_scale: Union[float, List[float]] + """ + Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). + `guidance_scale` is defined as `w` of equation 2. of [Imagen Paper](https://arxiv.org/pdf/2205.11487.pdf). + Guidance scale is enabled by setting `guidance_scale > 1`. Higher guidance scale encourages to generate + images that are closely linked to the text `prompt`, usually at the expense of lower image quality. + """ + extra: Optional[ExtraConditioningInfo] = None + scheduler_args: dict[str, Any] = field(default_factory=dict) + """ + Additional arguments to pass to invokeai_diffuser.do_latent_postprocessing(). + """ + postprocessing_settings: Optional[PostprocessingSettings] = None + + ip_adapter_conditioning: Optional[IPAdapterConditioningInfo] = None + + @property + def dtype(self): + return self.text_embeddings.dtype + + def add_scheduler_args_if_applicable(self, scheduler, **kwargs): + scheduler_args = dict(self.scheduler_args) + step_method = inspect.signature(scheduler.step) + for name, value in kwargs.items(): + try: + step_method.bind_partial(**{name: value}) + except TypeError: + # FIXME: don't silently discard arguments + pass # debug("%s does not accept argument named %r", scheduler, name) + else: + scheduler_args[name] = value + return dataclasses.replace(self, scheduler_args=scheduler_args) diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py index 03b438525f..3cb1862004 100644 --- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py +++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py @@ -376,11 +376,11 @@ def get_cross_attention_modules(model, which: CrossAttentionType) -> list[tuple[ # non-fatal error but .swap() won't work. logger.error( f"Error! CrossAttentionControl found an unexpected number of {cross_attention_class} modules in the model " - + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching failed " - + "or some assumption has changed about the structure of the model itself. Please fix the monkey-patching, " - + f"and/or update the {expected_count} above to an appropriate number, and/or find and inform someone who knows " - + "what it means. This error is non-fatal, but it is likely that .swap() and attention map display will not " - + "work properly until it is fixed." + f"(expected {expected_count}, found {cross_attention_modules_in_model_count}). Either monkey-patching " + "failed or some assumption has changed about the structure of the model itself. Please fix the " + f"monkey-patching, and/or update the {expected_count} above to an appropriate number, and/or find and " + "inform someone who knows what it means. This error is non-fatal, but it is likely that .swap() and " + "attention map display will not work properly until it is fixed." ) return attention_module_tuples @@ -577,6 +577,7 @@ class SlicedSwapCrossAttnProcesser(SlicedAttnProcessor): attention_mask=None, # kwargs swap_cross_attn_context: SwapCrossAttnContext = None, + **kwargs, ): attention_type = CrossAttentionType.SELF if encoder_hidden_states is None else CrossAttentionType.TOKENS diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py index 6fe53fd002..125e62a2e8 100644 --- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py +++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py @@ -2,7 +2,6 @@ from __future__ import annotations import math from contextlib import contextmanager -from dataclasses import dataclass from typing import Any, Callable, Optional, Union import torch @@ -10,9 +9,14 @@ from diffusers import UNet2DConditionModel from typing_extensions import TypeAlias from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ( + ConditioningData, + ExtraConditioningInfo, + PostprocessingSettings, + SDXLConditioningInfo, +) from .cross_attention_control import ( - Arguments, Context, CrossAttentionType, SwapCrossAttnContext, @@ -31,37 +35,6 @@ ModelForwardCallback: TypeAlias = Union[ ] -@dataclass -class BasicConditioningInfo: - embeds: torch.Tensor - extra_conditioning: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo] - # weight: float - # mode: ConditioningAlgo - - def to(self, device, dtype=None): - self.embeds = self.embeds.to(device=device, dtype=dtype) - return self - - -@dataclass -class SDXLConditioningInfo(BasicConditioningInfo): - pooled_embeds: torch.Tensor - add_time_ids: torch.Tensor - - def to(self, device, dtype=None): - self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype) - self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype) - return super().to(device=device, dtype=dtype) - - -@dataclass(frozen=True) -class PostprocessingSettings: - threshold: float - warmup: float - h_symmetry_time_pct: Optional[float] - v_symmetry_time_pct: Optional[float] - - class InvokeAIDiffuserComponent: """ The aim of this component is to provide a single place for code that can be applied identically to @@ -75,15 +48,6 @@ class InvokeAIDiffuserComponent: debug_thresholding = False sequential_guidance = False - @dataclass - class ExtraConditioningInfo: - tokens_count_including_eos_bos: int - cross_attention_control_args: Optional[Arguments] = None - - @property - def wants_cross_attention_control(self): - return self.cross_attention_control_args is not None - def __init__( self, model, @@ -103,30 +67,26 @@ class InvokeAIDiffuserComponent: @contextmanager def custom_attention_context( self, - unet: UNet2DConditionModel, # note: also may futz with the text encoder depending on requested LoRAs + unet: UNet2DConditionModel, extra_conditioning_info: Optional[ExtraConditioningInfo], step_count: int, ): - old_attn_processors = None - if extra_conditioning_info and (extra_conditioning_info.wants_cross_attention_control): - old_attn_processors = unet.attn_processors - # Load lora conditions into the model - if extra_conditioning_info.wants_cross_attention_control: - self.cross_attention_control_context = Context( - arguments=extra_conditioning_info.cross_attention_control_args, - step_count=step_count, - ) - setup_cross_attention_control_attention_processors( - unet, - self.cross_attention_control_context, - ) + old_attn_processors = unet.attn_processors try: + self.cross_attention_control_context = Context( + arguments=extra_conditioning_info.cross_attention_control_args, + step_count=step_count, + ) + setup_cross_attention_control_attention_processors( + unet, + self.cross_attention_control_context, + ) + yield None finally: self.cross_attention_control_context = None - if old_attn_processors is not None: - unet.set_attn_processor(old_attn_processors) + unet.set_attn_processor(old_attn_processors) # TODO resuscitate attention map saving # self.remove_attention_map_saving() @@ -376,11 +336,24 @@ class InvokeAIDiffuserComponent: # methods below are called from do_diffusion_step and should be considered private to this class. - def _apply_standard_conditioning(self, x, sigma, conditioning_data, **kwargs): - # fast batched path + def _apply_standard_conditioning(self, x, sigma, conditioning_data: ConditioningData, **kwargs): + """Runs the conditioned and unconditioned UNet forward passes in a single batch for faster inference speed at + the cost of higher memory usage. + """ x_twice = torch.cat([x] * 2) sigma_twice = torch.cat([sigma] * 2) + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": torch.cat( + [ + conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds, + conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds, + ] + ) + } + added_cond_kwargs = None if type(conditioning_data.text_embeddings) is SDXLConditioningInfo: added_cond_kwargs = { @@ -408,6 +381,7 @@ class InvokeAIDiffuserComponent: x_twice, sigma_twice, both_conditionings, + cross_attention_kwargs=cross_attention_kwargs, encoder_attention_mask=encoder_attention_mask, added_cond_kwargs=added_cond_kwargs, **kwargs, @@ -419,9 +393,12 @@ class InvokeAIDiffuserComponent: self, x: torch.Tensor, sigma, - conditioning_data, + conditioning_data: ConditioningData, **kwargs, ): + """Runs the conditioned and unconditioned UNet forward passes sequentially for lower memory usage at the cost of + slower execution speed. + """ # low-memory sequential path uncond_down_block, cond_down_block = None, None down_block_additional_residuals = kwargs.pop("down_block_additional_residuals", None) @@ -437,6 +414,13 @@ class InvokeAIDiffuserComponent: if mid_block_additional_residual is not None: uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2) + # Run unconditional UNet denoising. + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.uncond_image_prompt_embeds + } + added_cond_kwargs = None is_sdxl = type(conditioning_data.text_embeddings) is SDXLConditioningInfo if is_sdxl: @@ -449,12 +433,21 @@ class InvokeAIDiffuserComponent: x, sigma, conditioning_data.unconditioned_embeddings.embeds, + cross_attention_kwargs=cross_attention_kwargs, down_block_additional_residuals=uncond_down_block, mid_block_additional_residual=uncond_mid_block, added_cond_kwargs=added_cond_kwargs, **kwargs, ) + # Run conditional UNet denoising. + cross_attention_kwargs = None + if conditioning_data.ip_adapter_conditioning is not None: + cross_attention_kwargs = { + "ip_adapter_image_prompt_embeds": conditioning_data.ip_adapter_conditioning.cond_image_prompt_embeds + } + + added_cond_kwargs = None if is_sdxl: added_cond_kwargs = { "text_embeds": conditioning_data.text_embeddings.pooled_embeds, @@ -465,6 +458,7 @@ class InvokeAIDiffuserComponent: x, sigma, conditioning_data.text_embeddings.embeds, + cross_attention_kwargs=cross_attention_kwargs, down_block_additional_residuals=cond_down_block, mid_block_additional_residual=cond_mid_block, added_cond_kwargs=added_cond_kwargs, diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py index e3f9ea84f3..ec90700bd0 100644 --- a/invokeai/frontend/install/import_images.py +++ b/invokeai/frontend/install/import_images.py @@ -14,7 +14,6 @@ import os import re import shutil import sqlite3 -import uuid from pathlib import Path import PIL @@ -27,6 +26,7 @@ from prompt_toolkit.key_binding import KeyBindings from prompt_toolkit.shortcuts import message_dialog from invokeai.app.services.config import InvokeAIAppConfig +from invokeai.app.util.misc import uuid_string app_config = InvokeAIAppConfig.get_config() @@ -421,7 +421,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me return rows[0][0] else: board_date_string = datetime.datetime.utcnow().date().isoformat() - new_board_id = str(uuid.uuid4()) + new_board_id = uuid_string() sql_insert_board = f"INSERT INTO boards (board_id, board_name, created_at, updated_at) VALUES ('{new_board_id}', '{board_name}', '{board_date_string}', '{board_date_string}')" self.cursor.execute(sql_insert_board) self.connection.commit() diff --git a/invokeai/frontend/web/dist/assets/App-d1567775.js b/invokeai/frontend/web/dist/assets/App-d1567775.js deleted file mode 100644 index 403126f699..0000000000 --- a/invokeai/frontend/web/dist/assets/App-d1567775.js +++ /dev/null @@ -1,169 +0,0 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a.jsxs(T,{sx:{flexDirection:"column",position:"absolute",top:0,insetInlineStart:0,opacity:.65,display:"flex",fontSize:"sm",padding:1,px:2,minWidth:48,margin:1,borderRadius:"base",pointerEvents:"none",bg:"base.200",_dark:{bg:"base.800"}},children:[a.jsx(Fme,{}),a.jsx(Ie,{style:{color:e},children:`${x("unifiedCanvas.activeLayer")}: ${t}`}),a.jsx(Ie,{children:`${x("unifiedCanvas.canvasScale")}: ${p}%`}),v&&a.jsx(Ie,{style:{color:Ox},children:"Preserve Masked Area: On"}),m&&a.jsx(Ie,{style:{color:n},children:`${x("unifiedCanvas.boundingBox")}: ${o}`}),i&&a.jsx(Ie,{style:{color:n},children:`${x("unifiedCanvas.scaledBoundingBox")}: ${s}`}),h&&a.jsxs(a.Fragment,{children:[a.jsx(Ie,{children:`${x("unifiedCanvas.boundingBoxPosition")}: ${r}`}),a.jsx(Ie,{children:`${x("unifiedCanvas.canvasDimensions")}: ${f}`}),a.jsx(Ie,{children:`${x("unifiedCanvas.canvasPosition")}: 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wt{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.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return $l(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Ui,ctx:{common:t.parent.common,data:t.data,parsedType:$l(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if($v(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:$l(t)},o=this._parseSync({data:t,path:i.path,parent:i});return qk(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:$l(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await($v(i)?i:Promise.resolve(i));return qk(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:de.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 $s({schema:this,typeName:it.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Qa.create(this,this._def)}nullable(){return Ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Ms.create(this,this._def)}promise(){return Lf.create(this,this._def)}or(t){return fg.create([this,t],this._def)}and(t){return hg.create(this,t,this._def)}transform(t){return new $s({...vt(this._def),schema:this,typeName:it.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new vg({...vt(this._def),innerType:this,defaultValue:n,typeName:it.ZodDefault})}brand(){return new uD({typeName:it.ZodBranded,type:this,...vt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Uv({...vt(this._def),innerType:this,catchValue:n,typeName:it.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return xm.create(this,t)}readonly(){return Vv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const vte=/^c[^\s-]{8,}$/i,_te=/^[a-z][a-z0-9]*$/,bte=/[0-9A-HJKMNP-TV-Z]{26}/,Ste=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,wte=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,xte=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Cte=/^(((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}))$/,Ete=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,Tte=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 Ate(e,t){return!!((t==="v4"||!t)&&Cte.test(e)||(t==="v6"||!t)&&Ete.test(e))}class ks extends wt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:de.invalid_string,...et.errToObj(r)}),this.nonempty=t=>this.min(1,et.errToObj(t)),this.trim=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new ks({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Ie.string){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.string,received:o.parsedType}),ft}const r=new Ui;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.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"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...et.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...et.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...et.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...et.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...et.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...et.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...et.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...et.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{var t;return new ks({checks:[],typeName:it.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};function kte(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 gu extends wt{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)!==Ie.number){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.number,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="int"?Vt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?kte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:de.not_finite,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new gu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new gu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:et.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:et.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:et.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:et.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.valuet.kind==="int"||t.kind==="multipleOf"&&Vt.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.valuenew gu({checks:[],typeName:it.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class mu extends wt{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)!==Ie.bigint){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.bigint,received:o.parsedType}),ft}let r;const i=new Ui;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:de.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),Me(r,{code:de.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Vt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,et.toString(n))}gt(t,n){return this.setLimit("min",t,!1,et.toString(n))}lte(t,n){return this.setLimit("max",t,!0,et.toString(n))}lt(t,n){return this.setLimit("max",t,!1,et.toString(n))}setLimit(t,n,r,i){return new mu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:et.toString(i)}]})}_addCheck(t){return new mu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:et.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:et.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:et.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:et.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:et.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{var t;return new mu({checks:[],typeName:it.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...vt(e)})};class ug extends wt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Ie.boolean){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.boolean,received:r.parsedType}),ft}return Qi(t.data)}}ug.create=e=>new ug({typeName:it.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...vt(e)});class Pc extends wt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Ie.date){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_type,expected:Ie.date,received:o.parsedType}),ft}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Me(o,{code:de.invalid_date}),ft}const r=new Ui;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:de.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Vt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Pc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:et.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:et.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.valuenew Pc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:it.ZodDate,...vt(e)});class Fv extends wt{_parse(t){if(this._getType(t)!==Ie.symbol){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.symbol,received:r.parsedType}),ft}return Qi(t.data)}}Fv.create=e=>new Fv({typeName:it.ZodSymbol,...vt(e)});class cg extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.undefined,received:r.parsedType}),ft}return Qi(t.data)}}cg.create=e=>new cg({typeName:it.ZodUndefined,...vt(e)});class dg extends wt{_parse(t){if(this._getType(t)!==Ie.null){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.null,received:r.parsedType}),ft}return Qi(t.data)}}dg.create=e=>new dg({typeName:it.ZodNull,...vt(e)});class Df extends wt{constructor(){super(...arguments),this._any=!0}_parse(t){return Qi(t.data)}}Df.create=e=>new Df({typeName:it.ZodAny,...vt(e)});class _c extends wt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Qi(t.data)}}_c.create=e=>new _c({typeName:it.ZodUnknown,...vt(e)});class al extends wt{_parse(t){const n=this._getOrReturnCtx(t);return Me(n,{code:de.invalid_type,expected:Ie.never,received:n.parsedType}),ft}}al.create=e=>new al({typeName:it.ZodNever,...vt(e)});class Bv extends wt{_parse(t){if(this._getType(t)!==Ie.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.void,received:r.parsedType}),ft}return Qi(t.data)}}Bv.create=e=>new Bv({typeName:it.ZodVoid,...vt(e)});class Ms extends wt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Ie.array)return Me(n,{code:de.invalid_type,expected:Ie.array,received:n.parsedType}),ft;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(Me(n,{code:de.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 ya(n,s,n.path,a)))).then(s=>Ui.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new ya(n,s,n.path,a)));return Ui.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Ms({...this._def,minLength:{value:t,message:et.toString(n)}})}max(t,n){return new Ms({...this._def,maxLength:{value:t,message:et.toString(n)}})}length(t,n){return new Ms({...this._def,exactLength:{value:t,message:et.toString(n)}})}nonempty(t){return this.min(1,t)}}Ms.create=(e,t)=>new Ms({type:e,minLength:null,maxLength:null,exactLength:null,typeName:it.ZodArray,...vt(t)});function kd(e){if(e instanceof er){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Qa.create(kd(r))}return new er({...e._def,shape:()=>t})}else return e instanceof Ms?new Ms({...e._def,type:kd(e.element)}):e instanceof Qa?Qa.create(kd(e.unwrap())):e instanceof Ic?Ic.create(kd(e.unwrap())):e instanceof va?va.create(e.items.map(t=>kd(t))):e}class er extends wt{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=Vt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Ie.object){const u=this._getOrReturnCtx(t);return Me(u,{code:de.invalid_type,expected:Ie.object,received:u.parsedType}),ft}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof al&&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 ya(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof al){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&&(Me(i,{code:de.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 ya(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=>Ui.mergeObjectSync(r,u)):Ui.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return et.errToObj,new er({...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=et.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new er({...this._def,unknownKeys:"strip"})}passthrough(){return new er({...this._def,unknownKeys:"passthrough"})}extend(t){return new er({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new er({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:it.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new er({...this._def,catchall:t})}pick(t){const n={};return Vt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}omit(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new er({...this._def,shape:()=>n})}deepPartial(){return kd(this)}partial(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new er({...this._def,shape:()=>n})}required(t){const n={};return Vt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Qa;)o=o._def.innerType;n[r]=o}}),new er({...this._def,shape:()=>n})}keyof(){return lD(Vt.objectKeys(this.shape))}}er.create=(e,t)=>new er({shape:()=>e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.strictCreate=(e,t)=>new er({shape:()=>e,unknownKeys:"strict",catchall:al.create(),typeName:it.ZodObject,...vt(t)});er.lazycreate=(e,t)=>new er({shape:e,unknownKeys:"strip",catchall:al.create(),typeName:it.ZodObject,...vt(t)});class fg extends wt{_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 Os(a.ctx.common.issues));return Me(n,{code:de.invalid_union,unionErrors:s}),ft}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 Os(l));return Me(n,{code:de.invalid_union,unionErrors:a}),ft}}get options(){return this._def.options}}fg.create=(e,t)=>new fg({options:e,typeName:it.ZodUnion,...vt(t)});const R0=e=>e instanceof gg?R0(e.schema):e instanceof $s?R0(e.innerType()):e instanceof mg?[e.value]:e instanceof yu?e.options:e instanceof yg?Object.keys(e.enum):e instanceof vg?R0(e._def.innerType):e instanceof cg?[void 0]:e instanceof dg?[null]:null;class M_ extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.object)return Me(n,{code:de.invalid_type,expected:Ie.object,received:n.parsedType}),ft;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Me(n,{code:de.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ft)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=R0(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${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 ${String(a)}`);i.set(a,o)}}return new M_({typeName:it.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...vt(r)})}}function yC(e,t){const n=$l(e),r=$l(t);if(e===t)return{valid:!0,data:e};if(n===Ie.object&&r===Ie.object){const i=Vt.objectKeys(t),o=Vt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=yC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===Ie.array&&r===Ie.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(gC(o)||gC(s))return ft;const a=yC(o.value,s.value);return a.valid?((mC(o)||mC(s))&&n.dirty(),{status:n.value,value:a.data}):(Me(r,{code:de.invalid_intersection_types}),ft)};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}))}}hg.create=(e,t,n)=>new hg({left:e,right:t,typeName:it.ZodIntersection,...vt(n)});class va extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.array)return Me(r,{code:de.invalid_type,expected:Ie.array,received:r.parsedType}),ft;if(r.data.lengththis._def.items.length&&(Me(r,{code:de.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 ya(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Ui.mergeArray(n,s)):Ui.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new va({...this._def,rest:t})}}va.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new va({items:e,typeName:it.ZodTuple,rest:null,...vt(t)})};class pg extends wt{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!==Ie.object)return Me(r,{code:de.invalid_type,expected:Ie.object,received:r.parsedType}),ft;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new ya(r,a,r.path,a)),value:s._parse(new ya(r,r.data[a],r.path,a))});return r.common.async?Ui.mergeObjectAsync(n,i):Ui.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof wt?new pg({keyType:t,valueType:n,typeName:it.ZodRecord,...vt(r)}):new pg({keyType:ks.create(),valueType:t,typeName:it.ZodRecord,...vt(n)})}}class zv extends wt{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!==Ie.map)return Me(r,{code:de.invalid_type,expected:Ie.map,received:r.parsedType}),ft;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new ya(r,a,r.path,[u,"key"])),value:o._parse(new ya(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 ft;(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 ft;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}zv.create=(e,t,n)=>new zv({valueType:t,keyType:e,typeName:it.ZodMap,...vt(n)});class Rc extends wt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ie.set)return Me(r,{code:de.invalid_type,expected:Ie.set,received:r.parsedType}),ft;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(Me(r,{code:de.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 ft;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 ya(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Rc({...this._def,minSize:{value:t,message:et.toString(n)}})}max(t,n){return new Rc({...this._def,maxSize:{value:t,message:et.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Rc.create=(e,t)=>new Rc({valueType:e,minSize:null,maxSize:null,typeName:it.ZodSet,...vt(t)});class df extends wt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.function)return Me(n,{code:de.invalid_type,expected:Ie.function,received:n.parsedType}),ft;function r(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_arguments,argumentsError:l}})}function i(a,l){return Lv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Dv(),ag].filter(u=>!!u),issueData:{code:de.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Lf){const a=this;return Qi(async function(...l){const u=new Os([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Qi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Os([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Os([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new df({...this._def,args:va.create(t).rest(_c.create())})}returns(t){return new df({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new df({args:t||va.create([]).rest(_c.create()),returns:n||_c.create(),typeName:it.ZodFunction,...vt(r)})}}class gg extends wt{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})}}gg.create=(e,t)=>new gg({getter:e,typeName:it.ZodLazy,...vt(t)});class mg extends wt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Me(n,{received:n.data,code:de.invalid_literal,expected:this._def.value}),ft}return{status:"valid",value:t.data}}get value(){return this._def.value}}mg.create=(e,t)=>new mg({value:e,typeName:it.ZodLiteral,...vt(t)});function lD(e,t){return new yu({values:e,typeName:it.ZodEnum,...vt(t)})}class yu extends wt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{expected:Vt.joinValues(r),received:n.parsedType,code:de.invalid_type}),ft}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{received:n.data,code:de.invalid_enum_value,options:r}),ft}return Qi(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 yu.create(t)}exclude(t){return yu.create(this.options.filter(n=>!t.includes(n)))}}yu.create=lD;class yg extends wt{_parse(t){const n=Vt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Ie.string&&r.parsedType!==Ie.number){const i=Vt.objectValues(n);return Me(r,{expected:Vt.joinValues(i),received:r.parsedType,code:de.invalid_type}),ft}if(n.indexOf(t.data)===-1){const i=Vt.objectValues(n);return Me(r,{received:r.data,code:de.invalid_enum_value,options:i}),ft}return Qi(t.data)}get enum(){return this._def.values}}yg.create=(e,t)=>new yg({values:e,typeName:it.ZodNativeEnum,...vt(t)});class Lf extends wt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ie.promise&&n.common.async===!1)return Me(n,{code:de.invalid_type,expected:Ie.promise,received:n.parsedType}),ft;const r=n.parsedType===Ie.promise?n.data:Promise.resolve(n.data);return Qi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Lf.create=(e,t)=>new Lf({type:e,typeName:it.ZodPromise,...vt(t)});class $s extends wt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===it.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Me(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}if(i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?ft:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!lg(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>lg(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Vt.assertNever(i)}}$s.create=(e,t,n)=>new $s({schema:e,typeName:it.ZodEffects,effect:t,...vt(n)});$s.createWithPreprocess=(e,t,n)=>new $s({schema:t,effect:{type:"preprocess",transform:e},typeName:it.ZodEffects,...vt(n)});class Qa extends wt{_parse(t){return this._getType(t)===Ie.undefined?Qi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Qa.create=(e,t)=>new Qa({innerType:e,typeName:it.ZodOptional,...vt(t)});class Ic extends wt{_parse(t){return this._getType(t)===Ie.null?Qi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ic.create=(e,t)=>new Ic({innerType:e,typeName:it.ZodNullable,...vt(t)});class vg extends wt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Ie.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}vg.create=(e,t)=>new vg({innerType:e,typeName:it.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...vt(t)});class Uv extends wt{_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 $v(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Os(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Uv.create=(e,t)=>new Uv({innerType:e,typeName:it.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...vt(t)});class jv extends wt{_parse(t){if(this._getType(t)!==Ie.nan){const r=this._getOrReturnCtx(t);return Me(r,{code:de.invalid_type,expected:Ie.nan,received:r.parsedType}),ft}return{status:"valid",value:t.data}}}jv.create=e=>new jv({typeName:it.ZodNaN,...vt(e)});const Pte=Symbol("zod_brand");class uD extends wt{_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 xm extends wt{_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"?ft:o.status==="dirty"?(n.dirty(),aD(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"?ft: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 xm({in:t,out:n,typeName:it.ZodPipeline})}}class Vv extends wt{_parse(t){const n=this._def.innerType._parse(t);return lg(n)&&(n.value=Object.freeze(n.value)),n}}Vv.create=(e,t)=>new Vv({innerType:e,typeName:it.ZodReadonly,...vt(t)});const cD=(e,t={},n)=>e?Df.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})}}):Df.create(),Rte={object:er.lazycreate};var it;(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",e.ZodReadonly="ZodReadonly"})(it||(it={}));const Ite=(e,t={message:`Input not instance of ${e.name}`})=>cD(n=>n instanceof e,t),dD=ks.create,fD=gu.create,Ote=jv.create,Mte=mu.create,hD=ug.create,Nte=Pc.create,Dte=Fv.create,Lte=cg.create,$te=dg.create,Fte=Df.create,Bte=_c.create,zte=al.create,Ute=Bv.create,jte=Ms.create,Vte=er.create,Gte=er.strictCreate,Hte=fg.create,qte=M_.create,Wte=hg.create,Kte=va.create,Xte=pg.create,Qte=zv.create,Yte=Rc.create,Zte=df.create,Jte=gg.create,ene=mg.create,tne=yu.create,nne=yg.create,rne=Lf.create,Wk=$s.create,ine=Qa.create,one=Ic.create,sne=$s.createWithPreprocess,ane=xm.create,lne=()=>dD().optional(),une=()=>fD().optional(),cne=()=>hD().optional(),dne={string:e=>ks.create({...e,coerce:!0}),number:e=>gu.create({...e,coerce:!0}),boolean:e=>ug.create({...e,coerce:!0}),bigint:e=>mu.create({...e,coerce:!0}),date:e=>Pc.create({...e,coerce:!0})},fne=ft;var 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n=t.payload;e.aspectRatio=n,n&&(e.height=xs(e.width/n,8))},setShouldLockAspectRatio:(e,t)=>{e.shouldLockAspectRatio=t.payload}},extraReducers:e=>{e.addCase(dte,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 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y.clone().json()}catch{g=await y.clone().text()}return{error:g,response:y}}return{async GET(s,a){return o(s,{...a,method:"GET"})},async PUT(s,a){return o(s,{...a,method:"PUT"})},async POST(s,a){return o(s,{...a,method:"POST"})},async DELETE(s,a){return o(s,{...a,method:"DELETE"})},async OPTIONS(s,a){return o(s,{...a,method:"OPTIONS"})},async HEAD(s,a){return o(s,{...a,method:"HEAD"})},async PATCH(s,a){return o(s,{...a,method:"PATCH"})},async TRACE(s,a){return o(s,{...a,method:"TRACE"})}}}function Une(e){const t=new URLSearchParams;if(e&&typeof e=="object")for(const[n,r]of Object.entries(e))r!=null&&t.set(n,r);return t.toString()}function jne(e){return JSON.stringify(e)}function Vne(e,t){let n=`${t.baseUrl?t.baseUrl.replace(Bne,""):""}${e}`;if(t.params.path)for(const[r,i]of Object.entries(t.params.path))n=n.replace(`{${r}}`,encodeURIComponent(String(i)));if(t.params.query){const r=t.querySerializer(t.params.query);r&&(n+=`?${r}`)}return n}function Gne(...e){const t=new Headers;for(const n of e){if(!n||typeof n!="object")continue;const r=n instanceof Headers?n.entries():Object.entries(n);for(const[i,o]of r)o===null?t.delete(i):o!==void 0&&t.set(i,o)}return t}const $f=Ru(),_g=Ru(),bg=Ru(),L_=$ne([$f,_g,bg],(e,t,n)=>zne({headers:{...e?{Authorization:`Bearer ${e}`}:{},...n?{"project-id":n}:{}},baseUrl:`${t??""}`})),xi=hu("api/sessionCreated",async(e,{rejectWithValue:t})=>{const{graph:n}=e,{POST:r}=L_.get(),{data:i,error:o,response:s}=await r("/api/v1/sessions/",{body:n});return o?t({arg:e,status:s.status,error:o}):i}),Hne=e=>zi(e)&&"status"in e,qne=e=>zi(e)&&"detail"in e,ah=hu("api/sessionInvoked",async(e,{rejectWithValue:t})=>{const{session_id:n}=e,{PUT:r}=L_.get(),{error:i,response:o}=await r("/api/v1/sessions/{session_id}/invoke",{params:{query:{all:!0},path:{session_id:n}}});if(i){if(Hne(i)&&i.status===403)return t({arg:e,status:o.status,error:i.body.detail});if(qne(i)&&o.status===403)return t({arg:e,status:o.status,error:i.detail});if(i)return t({arg:e,status:o.status,error:i})}}),Iu=hu("api/sessionCanceled",async(e,{rejectWithValue:t})=>{const{session_id:n}=e,{DELETE:r}=L_.get(),{data:i,error:o}=await r("/api/v1/sessions/{session_id}/invoke",{params:{path:{session_id:n}}});return o?t({arg:e,error:o}):i});hu("api/listSessions",async(e,{rejectWithValue:t})=>{const{params:n}=e,{GET:r}=L_.get(),{data:i,error:o}=await r("/api/v1/sessions/",{params:n});return o?t({arg:e,error:o}):i});const vD=os(xi.rejected,ah.rejected),wy=(e,t,n,r,i,o,s)=>{const a=Math.floor(e/2-(n+i/2)*s),l=Math.floor(t/2-(r+o/2)*s);return{x:a,y:l}},xy=(e,t,n,r,i=.95)=>{const o=e*i/n,s=t*i/r,a=Math.min(1,Math.min(o,s));return a||1},C8e=.999,E8e=.1,T8e=20,Cy=.95,A8e=30,k8e=10,Wne=e=>({x:Math.floor(e.x),y:Math.floor(e.y)}),hd=e=>{const{width:t,height:n}=e,r={width:t,height:n},i=512*512,o=t/n;let s=t*n,a=448;for(;s1?(r.width=a,r.height=xs(a/o,64)):o<1&&(r.height=a,r.width=xs(a*o,64)),s=r.width*r.height;return r},Kne=e=>({width:xs(e.width,64),height:xs(e.height,64)}),P8e=[{label:"Base",value:"base"},{label:"Mask",value:"mask"}],R8e=[{label:"None",value:"none"},{label:"Auto",value:"auto"},{label:"Manual",value:"manual"}],_D=e=>e.kind==="line"&&e.layer==="mask",I8e=e=>e.kind==="line"&&e.layer==="base",Xne=e=>e.kind==="image"&&e.layer==="base",O8e=e=>e.kind==="fillRect"&&e.layer==="base",M8e=e=>e.kind==="eraseRect"&&e.layer==="base",Qne=e=>e.kind==="line",Pd={objects:[],stagingArea:{images:[],selectedImageIndex:-1}},bD={boundingBoxCoordinates:{x:0,y:0},boundingBoxDimensions:{width:512,height:512},boundingBoxPreviewFill:{r:0,g:0,b:0,a:.5},boundingBoxScaleMethod:"none",brushColor:{r:90,g:90,b:255,a:1},brushSize:50,colorPickerColor:{r:90,g:90,b:255,a:1},cursorPosition:null,futureLayerStates:[],isDrawing:!1,isMaskEnabled:!0,isMouseOverBoundingBox:!1,isMoveBoundingBoxKeyHeld:!1,isMoveStageKeyHeld:!1,isMovingBoundingBox:!1,isMovingStage:!1,isTransformingBoundingBox:!1,layer:"base",layerState:Pd,maskColor:{r:255,g:90,b:90,a:1},maxHistory:128,minimumStageScale:1,pastLayerStates:[],scaledBoundingBoxDimensions:{width:512,height:512},shouldAntialias:!0,shouldAutoSave:!1,shouldCropToBoundingBoxOnSave:!1,shouldDarkenOutsideBoundingBox:!1,shouldLockBoundingBox:!1,shouldPreserveMaskedArea:!1,shouldRestrictStrokesToBox:!0,shouldShowBoundingBox:!0,shouldShowBrush:!0,shouldShowBrushPreview:!1,shouldShowCanvasDebugInfo:!1,shouldShowCheckboardTransparency:!1,shouldShowGrid:!0,shouldShowIntermediates:!0,shouldShowStagingImage:!0,shouldShowStagingOutline:!0,shouldSnapToGrid:!0,stageCoordinates:{x:0,y:0},stageDimensions:{width:0,height:0},stageScale:1,tool:"brush"},SD=nr({name:"canvas",initialState:bD,reducers:{setTool:(e,t)=>{const 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ud=Sn.meta;if(Gn=ud.requestId,(dd=ud.arg).subscribe)return(Sl=(G=Mn[$=dd.queryCacheKey])!=null?G:Mn[$]={})[Gn]=(fe=(X=dd.subscriptionOptions)!=null?X:Sl[Gn])!=null?fe:{},!0}if(lt.rejected.match(Sn)){var Sl,cd=Sn.meta,dd=cd.arg;if(Gn=cd.requestId,cd.condition&&dd.subscribe)return(Sl=(on=Mn[St=dd.queryCacheKey])!=null?on:Mn[St]={})[Gn]=(Tt=(wn=dd.subscriptionOptions)!=null?wn:Sl[Gn])!=null?Tt:{},!0}return!1}(ze.currentSubscriptions,Ze);if(Ft){xe||(Vs(function(){var Mn=JSON.parse(JSON.stringify(ze.currentSubscriptions)),Sn=(0,gs.produceWithPatches)(ae,function(){return Mn});qe.next(Ge.internalActions.subscriptionsUpdated(Sn[1])),ae=Mn,xe=!1}),xe=!0);var Zn=!!((Ct=Ze.type)!=null&&Ct.startsWith(be)),lr=lt.rejected.match(Ze)&&Ze.meta.condition&&!!Ze.meta.arg.subscribe;return[!Zn&&!lr,!1]}return[!0,!1]}}(an),Be=function(Ae){var Ge=Ae.reducerPath,lt=Ae.context,ze=Ae.refetchQuery,be=Ae.internalState,ae=Ae.api.internalActions.removeQueryResult;function xe(ce,he){var Se=ce.getState()[Ge],Ze=Se.queries,qe=be.currentSubscriptions;lt.batch(function(){for(var ke=0,Ct=Object.keys(qe);ke1&&arguments[1]!==void 0?arguments[1]:{};this.init(t,n)}init(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.prefix=n.prefix||"i18next:",this.logger=t||lre,this.options=n,this.debug=n.debug}log(){for(var t=arguments.length,n=new Array(t),r=0;r{this.observers[r]=this.observers[r]||[],this.observers[r].push(n)}),this}off(t,n){if(this.observers[t]){if(!n){delete this.observers[t];return}this.observers[t]=this.observers[t].filter(r=>r!==n)}}emit(t){for(var n=arguments.length,r=new Array(n>1?n-1:0),i=1;i{s(...r)}),this.observers["*"]&&[].concat(this.observers["*"]).forEach(s=>{s.apply(s,[t,...r])})}}function Nh(){let e,t;const n=new Promise((r,i)=>{e=r,t=i});return n.resolve=e,n.reject=t,n}function Yk(e){return e==null?"":""+e}function ure(e,t,n){e.forEach(r=>{t[r]&&(n[r]=t[r])})}function w5(e,t,n){function r(s){return 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s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),Zk(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=Hv(this.data,a)||{};i?TD(l,r,o):l={...l,...r},Zk(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var AD={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const eP={};class Kv extends $_{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),ure(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=ia.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!gre(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const v=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${v}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${v}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),b=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject;if(y&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&b.indexOf(m)<0&&!(typeof _=="string"&&m==="[object 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n.count!="string",x=Kv.hasDefaultValue(n),C=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${C}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(v=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||v||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. 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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 F2(e){return e.charAt(0).toUpperCase()+e.slice(1)}class tP{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ia.create("languageUtils")}getScriptPartFromCode(t){if(t=Wv(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=Wv(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]=F2(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]=F2(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=F2(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 mre=[{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}],yre={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 vre=["v1","v2","v3"],_re=["v4"],nP={zero:0,one:1,two:2,few:3,many:4,other:5};function bre(){const e={};return mre.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:yre[t.fc]}})}),e}class Sre{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ia.create("pluralResolver"),(!this.options.compatibilityJSON||_re.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. 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>nP[i]-nP[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!vre.includes(this.options.compatibilityJSON)}}function rP(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=dre(e,t,n);return!o&&i&&typeof n=="string"&&(o=qv(e,n,r),o===void 0&&(o=qv(t,n,r))),o}class wre{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ia.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:hre,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?pd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?pd(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?pd(n.nestingPrefix):n.nestingPrefixEscaped||pd("$t("),this.nestingSuffix=n.nestingSuffix?pd(n.nestingSuffix):n.nestingSuffixEscaped||pd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${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=rP(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),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(rP(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};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 _=d(t,o,i);s=typeof _=="string"?_:""}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 ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=Yk(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${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=Yk(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function xre(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/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 gd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(Wv(i),o),t[s]=a),a(r)}}class Cre{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ia.create("formatter"),this.options=t,this.formats={number:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:gd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:gd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:gd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:gd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=gd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=xre(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function Ere(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class Tre extends $_{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=ia.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?s[f]===void 0&&(s[f]=!0):(this.state[f]=1,c=!1,s[f]===void 0&&(s[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 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e),Nie=z.object({lora:OD.deepPartial(),weight:z.number()}),MD=z.object({app_version:z.string().nullish(),generation_mode:z.string().nullish(),created_by:z.string().nullish(),positive_prompt:z.string().nullish(),negative_prompt:z.string().nullish(),width:z.number().int().nullish(),height:z.number().int().nullish(),seed:z.number().int().nullish(),rand_device:z.string().nullish(),cfg_scale:z.number().nullish(),steps:z.number().int().nullish(),scheduler:z.string().nullish(),clip_skip:z.number().int().nullish(),model:z.union([N_.deepPartial(),gD.deepPartial()]).nullish(),controlnets:z.array(wg.deepPartial()).nullish(),loras:z.array(Nie).nullish(),vae:ID.nullish(),strength:z.number().nullish(),init_image:z.string().nullish(),positive_style_prompt:z.string().nullish(),negative_style_prompt:z.string().nullish(),refiner_model:_5.deepPartial().nullish(),refiner_cfg_scale:z.number().nullish(),refiner_steps:z.number().int().nullish(),refiner_scheduler:z.string().nullish(),refiner_positive_aesthetic_score:z.number().nullish(),refiner_negative_aesthetic_score:z.number().nullish(),refiner_start:z.number().nullish()}).passthrough(),x5=z.string().refine(e=>{const[t,n,r]=e.split(".");return t!==void 0&&Number.isInteger(Number(t))&&n!==void 0&&Number.isInteger(Number(n))&&r!==void 0&&Number.isInteger(Number(r))});x5.transform(e=>{const[t,n,r]=e.split(".");return{major:Number(t),minor:Number(n),patch:Number(r)}});const Die=z.object({id:z.string().trim().min(1),type:z.string().trim().min(1),inputs:z.record(Rie),outputs:z.record(Pre),label:z.string(),isOpen:z.boolean(),notes:z.string(),embedWorkflow:z.boolean(),isIntermediate:z.boolean(),version:x5.optional()}),Lie=z.object({id:z.string().trim().min(1),type:z.literal("notes"),label:z.string(),isOpen:z.boolean(),notes:z.string()}),ND=z.object({x:z.number(),y:z.number()}).default({x:0,y:0}),Zv=z.number().gt(0).nullish(),DD=z.object({id:z.string().trim().min(1),type:z.literal("invocation"),data:Die,width:Zv,height:Zv,position:ND}),vC=e=>DD.safeParse(e).success,$ie=z.object({id:z.string().trim().min(1),type:z.literal("notes"),data:Lie,width:Zv,height:Zv,position:ND}),LD=z.discriminatedUnion("type",[DD,$ie]),Fie=z.object({source:z.string().trim().min(1),sourceHandle:z.string().trim().min(1),target:z.string().trim().min(1),targetHandle:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("default")}),Bie=z.object({source:z.string().trim().min(1),target:z.string().trim().min(1),id:z.string().trim().min(1),type:z.literal("collapsed")}),$D=z.union([Fie,Bie]),zie=z.object({nodeId:z.string().trim().min(1),fieldName:z.string().trim().min(1)}),FD=z.object({name:z.string().default(""),author:z.string().default(""),description:z.string().default(""),version:z.string().default(""),contact:z.string().default(""),tags:z.string().default(""),notes:z.string().default(""),nodes:z.array(LD).default([]),edges:z.array($D).default([]),exposedFields:z.array(zie).default([]),meta:z.object({version:x5}).default({version:"1.0.0"})});FD.transform(e=>{const{nodes:t,edges:n}=e,r=[],i=t.filter(vC),o=v5(i,"id");return n.forEach((s,a)=>{const l=o[s.source],u=o[s.target],c=[];if(l?s.type==="default"&&!(s.sourceHandle in l.data.outputs)&&c.push(`${we.t("nodes.outputField")}"${s.source}.${s.sourceHandle}" ${we.t("nodes.doesNotExist")}`):c.push(`${we.t("nodes.outputNode")} ${s.source} ${we.t("nodes.doesNotExist")}`),u?s.type==="default"&&!(s.targetHandle in u.data.inputs)&&c.push(`${we.t("nodes.inputField")} "${s.target}.${s.targetHandle}" ${we.t("nodes.doesNotExist")}`):c.push(`${we.t("nodes.inputNode")} ${s.target} ${we.t("nodes.doesNotExist")}`),c.length){delete n[a];const d=s.type==="default"?s.sourceHandle:s.source,f=s.type==="default"?s.targetHandle:s.target;r.push({message:`${we.t("nodes.edge")} "${d} -> ${f}" ${we.t("nodes.skipped")}`,issues:c,data:s})}}),{workflow:e,warnings:r}});const Kr=e=>!!(e&&e.type==="invocation"),VRe=e=>!!(e&&!["notes","current_image"].includes(e.type)),uP=e=>!!(e&&e.type==="notes");var Fa=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(Fa||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const Uie=4,cP=0,dP=1,jie=2;function lh(e){let t=e.length;for(;--t>=0;)e[t]=0}const Vie=0,BD=1,Gie=2,Hie=3,qie=258,C5=29,Em=256,xg=Em+1+C5,ff=30,E5=19,zD=2*xg+1,lc=15,B2=16,Wie=7,T5=256,UD=16,jD=17,VD=18,_C=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),I0=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),Kie=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),GD=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Xie=512,Ua=new Array((xg+2)*2);lh(Ua);const xp=new Array(ff*2);lh(xp);const Cg=new Array(Xie);lh(Cg);const Eg=new Array(qie-Hie+1);lh(Eg);const A5=new Array(C5);lh(A5);const Jv=new Array(ff);lh(Jv);function 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t=e.length;for(;--t>=0;)e[t]=0},Boe=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let zoe=(e,t,n)=>(t<{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ro=(e,t)=>{yoe(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Co(e.strm)},Yt=(e,t)=>{e.pending_buf[e.pending++]=t},Lh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},AC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=Ag(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Zr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},eL=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-fa?e.strstart-(e.w_size-fa):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Hl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&rs){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},jf=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-fa)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Boe(e),r+=t),e.strm.avail_in===0)break;if(n=AC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Dt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=iu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=iu(e,e.ins_h,e.window[i+Dt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_outi+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Co(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(AC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_watero&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(AC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Qo)&&t!==ru&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Qo&&e.strm.avail_in===0&&r===i?1:0,SC(e,e.block_start,r,s),e.block_start+=r,Co(e.strm)),s?Oc:Wi)},G2=(e,t)=>{let n,r;for(;;){if(e.lookahead=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-fa&&(e.match_length=eL(e,n)),e.match_length>=Dt)if(r=nu(e,e.strstart-e.match_start,e.match_length-Dt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Dt){e.match_length--;do e.strstart++,e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=iu(e,e.ins_h,e.window[e.strstart+1]);else r=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=e.strstart{let n,r,i;for(;;){if(e.lookahead=Dt&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Dt-1,n!==0&&e.prev_length4096)&&(e.match_length=Dt-1)),e.prev_length>=Dt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Dt,r=nu(e,e.strstart-1-e.prev_match,e.prev_length-Dt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=iu(e,e.ins_h,e.window[e.strstart+Dt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Dt-1,e.strstart++,r&&(Ro(e,!1),e.strm.avail_out===0))return Wi}else if(e.match_available){if(r=nu(e,0,e.window[e.strstart-1]),r&&Ro(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Wi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=nu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=Hl){if(jf(e),e.lookahead<=Hl&&t===ru)return Wi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Dt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+Hl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&ie.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Dt?(n=nu(e,1,e.match_length-Dt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh},joe=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(jf(e),e.lookahead===0)){if(t===ru)return Wi;break}if(e.match_length=0,n=nu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ro(e,!1),e.strm.avail_out===0))return Wi}return e.insert=0,t===Qo?(Ro(e,!0),e.strm.avail_out===0?Oc:ch):e.sym_next&&(Ro(e,!1),e.strm.avail_out===0)?Wi:uh};function Hs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const ip=[new Hs(0,0,0,0,tL),new Hs(4,4,8,4,G2),new Hs(4,5,16,8,G2),new Hs(4,6,32,32,G2),new Hs(4,4,16,16,md),new Hs(8,16,32,32,md),new Hs(8,16,128,128,md),new Hs(8,32,128,256,md),new Hs(32,128,258,1024,md),new Hs(32,258,258,4096,md)],Voe=e=>{e.window_size=2*e.w_size,Fl(e.head),e.max_lazy_match=ip[e.level].max_lazy,e.good_match=ip[e.level].good_length,e.nice_match=ip[e.level].nice_length,e.max_chain_length=ip[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Dt-1,e.match_available=0,e.ins_h=0};function Goe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=F_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(Doe*2),this.dyn_dtree=new Uint16Array((2*Moe+1)*2),this.bl_tree=new Uint16Array((2*Noe+1)*2),Fl(this.dyn_ltree),Fl(this.dyn_dtree),Fl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Loe+1),this.heap=new Uint16Array(2*wC+1),Fl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*wC+1),Fl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Am=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Uf&&t.status!==k5&&t.status!==xC&&t.status!==CC&&t.status!==EC&&t.status!==TC&&t.status!==uc&&t.status!==rp?1:0},nL=e=>{if(Am(e))return cc(e,da);e.total_in=e.total_out=0,e.data_type=Aoe;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?k5:t.wrap?Uf:uc,e.adler=t.wrap===2?0:1,t.last_flush=-2,moe(t),yi},rL=e=>{const t=nL(e);return t===yi&&Voe(e.state),t},Hoe=(e,t)=>Am(e)||e.state.wrap!==2?da:(e.state.gzhead=t,yi),iL=(e,t,n,r,i,o)=>{if(!e)return da;let s=1;if(t===woe&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>koe||n!==F_||r<8||r>15||t<0||t>9||o<0||o>Eoe||r===8&&s!==1)return cc(e,da);r===8&&(r=9);const a=new Goe;return e.state=a,a.strm=e,a.status=Uf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<iL(e,t,F_,Poe,Roe,Toe),Woe=(e,t)=>{if(Am(e)||t>yP||t<0)return e?cc(e,da):da;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===rp&&t!==Qo)return cc(e,e.avail_out===0?V2:da);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Co(e),e.avail_out===0)return n.last_flush=-1,yi}else if(e.avail_in===0&&_P(t)<=_P(r)&&t!==Qo)return cc(e,V2);if(n.status===rp&&e.avail_in!==0)return cc(e,V2);if(n.status===Uf&&n.wrap===0&&(n.status=uc),n.status===Uf){let i=F_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=ky||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=$oe),i+=31-i%31,Lh(n,i),n.strstart!==0&&(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),e.adler=1,n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===k5){if(e.adler=0,Yt(n,31),Yt(n,139),Yt(n,8),n.gzhead)Yt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Yt(n,n.gzhead.time&255),Yt(n,n.gzhead.time>>8&255),Yt(n,n.gzhead.time>>16&255),Yt(n,n.gzhead.time>>24&255),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Yt(n,n.gzhead.extra.length&255),Yt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Zr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=xC;else if(Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,0),Yt(n,n.level===9?2:n.strategy>=ky||n.level<2?4:0),Yt(n,Foe),n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(n.status===xC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=CC}if(n.status===CC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindexi&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=EC}if(n.status===EC){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i)),Co(e),n.pending!==0)return n.last_flush=-1,yi;i=0}n.gzindexi&&(e.adler=Zr(e.adler,n.pending_buf,n.pending-i,i))}n.status=TC}if(n.status===TC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(Co(e),n.pending!==0))return n.last_flush=-1,yi;Yt(n,e.adler&255),Yt(n,e.adler>>8&255),e.adler=0}if(n.status=uc,Co(e),n.pending!==0)return n.last_flush=-1,yi}if(e.avail_in!==0||n.lookahead!==0||t!==ru&&n.status!==rp){let i=n.level===0?tL(n,t):n.strategy===ky?joe(n,t):n.strategy===Coe?Uoe(n,t):ip[n.level].func(n,t);if((i===Oc||i===ch)&&(n.status=rp),i===Wi||i===Oc)return e.avail_out===0&&(n.last_flush=-1),yi;if(i===uh&&(t===_oe?voe(n):t!==yP&&(SC(n,0,0,!1),t===boe&&(Fl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),Co(e),e.avail_out===0))return n.last_flush=-1,yi}return t!==Qo?yi:n.wrap<=0?vP:(n.wrap===2?(Yt(n,e.adler&255),Yt(n,e.adler>>8&255),Yt(n,e.adler>>16&255),Yt(n,e.adler>>24&255),Yt(n,e.total_in&255),Yt(n,e.total_in>>8&255),Yt(n,e.total_in>>16&255),Yt(n,e.total_in>>24&255)):(Lh(n,e.adler>>>16),Lh(n,e.adler&65535)),Co(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?yi:vP)},Koe=e=>{if(Am(e))return da;const t=e.state.status;return e.state=null,t===uc?cc(e,Soe):yi},Xoe=(e,t)=>{let n=t.length;if(Am(e))return da;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Uf||r.lookahead)return da;if(i===1&&(e.adler=Ag(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Fl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,jf(r);r.lookahead>=Dt;){let l=r.strstart,u=r.lookahead-(Dt-1);do 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lse=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,s=e.length,a=0;for(i=0;i>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const use=(e,t)=>{if(t<65534&&e.subarray&&oL)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r4){o[i++]=65533,r+=a-1;continue}for(s&=a===2?31:a===3?15:7;a>1&&r1){o[i++]=65533;continue}s<65536?o[i++]=s:(s-=65536,o[i++]=55296|s>>10&1023,o[i++]=56320|s&1023)}return use(o,i)},dse=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+kg[e[n]]>t?n:t},Pg={string2buf:lse,buf2string:cse,utf8border:dse};function fse(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var sL=fse;const aL=Object.prototype.toString,{Z_NO_FLUSH:hse,Z_SYNC_FLUSH:pse,Z_FULL_FLUSH:gse,Z_FINISH:mse,Z_OK:e1,Z_STREAM_END:yse,Z_DEFAULT_COMPRESSION:vse,Z_DEFAULT_STRATEGY:_se,Z_DEFLATED:bse}=Tm;function P5(e){this.options=B_.assign({level:vse,method:bse,chunkSize:16384,windowBits:15,memLevel:8,strategy:_se},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new sL,this.strm.avail_out=0;let n=Cp.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==e1)throw new Error(zf[n]);if(t.header&&Cp.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Pg.string2buf(t.dictionary):aL.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=Cp.deflateSetDictionary(this.strm,r),n!==e1)throw new Error(zf[n]);this._dict_set=!0}}P5.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?mse:hse,typeof e=="string"?n.input=Pg.string2buf(e):aL.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===pse||o===gse)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=Cp.deflate(n,o),i===yse)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=Cp.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===e1;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};P5.prototype.onData=function(e){this.chunks.push(e)};P5.prototype.onEnd=function(e){e===e1&&(this.result=B_.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const Py=16209,Sse=16191;var wse=function(t,n){let r,i,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T;const k=t.state;r=t.next_in,A=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,s=o-(n-t.avail_out),a=o+(t.avail_out-257),l=k.dmax,u=k.wsize,c=k.whave,d=k.wnext,f=k.window,h=k.hold,p=k.bits,m=k.lencode,b=k.distcode,_=(1<>>24,h>>>=v,p-=v,v=g>>>16&255,v===0)T[o++]=g&65535;else if(v&16){S=g&65535,v&=15,v&&(p>>=v,p-=v),p<15&&(h+=A[r++]<>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,pl){t.msg="invalid distance 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1;for(;;){N=u-m,s[c]+1=A?(E=L[s[c]-A],P=C[s[c]-A]):(E=32+64,P=0),g=1<>m)+v]=N<<24|E<<16|P|0;while(v!==0);for(g=1<>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<bP||e===xP&&_>SP)return 1;S=y&w,i[S]=h<<24|p<<16|x-o|0}}return y!==0&&(i[x+y]=u-m<<24|64<<16|0),a.bits=h,0};var Ep=Ase;const kse=0,lL=1,uL=2,{Z_FINISH:CP,Z_BLOCK:Pse,Z_TREES:Ry,Z_OK:Mc,Z_STREAM_END:Rse,Z_NEED_DICT:Ise,Z_STREAM_ERROR:is,Z_DATA_ERROR:cL,Z_MEM_ERROR:dL,Z_BUF_ERROR:Ose,Z_DEFLATED:EP}=Tm,z_=16180,TP=16181,AP=16182,kP=16183,PP=16184,RP=16185,IP=16186,OP=16187,MP=16188,NP=16189,t1=16190,Pa=16191,q2=16192,DP=16193,W2=16194,LP=16195,$P=16196,FP=16197,BP=16198,Iy=16199,Oy=16200,zP=16201,UP=16202,jP=16203,VP=16204,GP=16205,K2=16206,HP=16207,qP=16208,Hn=16209,fL=16210,hL=16211,Mse=852,Nse=592,Dse=15,Lse=Dse,WP=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function $se(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Xc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.modehL?1:0},pL=e=>{if(Xc(e))return is;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=z_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Mse),t.distcode=t.distdyn=new Int32Array(Nse),t.sane=1,t.back=-1,Mc},gL=e=>{if(Xc(e))return is;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,pL(e)},mL=(e,t)=>{let n;if(Xc(e))return is;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?is:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,gL(e))},yL=(e,t)=>{if(!e)return is;const n=new $se;e.state=n,n.strm=e,n.window=null,n.mode=z_;const r=mL(e,t);return r!==Mc&&(e.state=null),r},Fse=e=>yL(e,Lse);let KP=!0,X2,Q2;const Bse=e=>{if(KP){X2=new Int32Array(512),Q2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(Ep(lL,e.lens,0,288,X2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;Ep(uL,e.lens,0,32,Q2,0,e.work,{bits:5}),KP=!1}e.lencode=X2,e.lenbits=9,e.distcode=Q2,e.distbits=5},vL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,y,g,v,S,w,x,C;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Xc(e)||!e.output||!e.input&&e.avail_in!==0)return is;n=e.state,n.mode===Pa&&(n.mode=q2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,C=Mc;e:for(;;)switch(n.mode){case z_:if(n.wrap===0){n.mode=q2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Zr(n.check,A,2,0),u=0,c=0,n.mode=TP;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Hn;break}if((u&15)!==EP){e.msg="unknown compression method",n.mode=Hn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Hn;break}n.dmax=1<>8&1),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=AP;case AP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<>>8&255,A[2]=u>>>16&255,A[3]=u>>>24&255,n.check=Zr(n.check,A,4,0)),u=0,c=0,n.mode=kP;case kP:for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>8),n.flags&512&&n.wrap&4&&(A[0]=u&255,A[1]=u>>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0,n.mode=PP;case PP:if(n.flags&1024){for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Zr(n.check,A,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=RP;case RP:if(n.flags&1024&&(h=n.length,h>a&&(h=a),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=Zr(n.check,r,h,o)),a-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=IP;case IP:if(n.flags&2048){if(a===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=Pa;break;case NP:for(;c<32;){if(a===0)break e;a--,u+=r[o++]<>>=c&7,c-=c&7,n.mode=K2;break}for(;c<3;){if(a===0)break e;a--,u+=r[o++]<>>=1,c-=1,u&3){case 0:n.mode=DP;break;case 1:if(Bse(n),n.mode=Iy,t===Ry){u>>>=2,c-=2;break e}break;case 2:n.mode=$P;break;case 3:e.msg="invalid block type",n.mode=Hn}u>>>=2,c-=2;break;case DP:for(u>>>=c&7,c-=c&7;c<32;){if(a===0)break e;a--,u+=r[o++]<>>16^65535)){e.msg="invalid stored block lengths",n.mode=Hn;break}if(n.length=u&65535,u=0,c=0,n.mode=W2,t===Ry)break e;case W2:n.mode=LP;case LP:if(h=n.length,h){if(h>a&&(h=a),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),s),a-=h,o+=h,l-=h,s+=h,n.length-=h;break}n.mode=Pa;break;case $P:for(;c<14;){if(a===0)break e;a--,u+=r[o++]<>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Hn;break}n.have=0,n.mode=FP;case FP:for(;n.have>>=3,c-=3}for(;n.have<19;)n.lens[L[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},C=Ep(kse,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid code lengths set",n.mode=Hn;break}n.have=0,n.mode=BP;case BP:for(;n.have>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=_,c-=_,n.lens[n.have++]=g;else{if(g===16){for(k=_+2;c>>=_,c-=_,n.have===0){e.msg="invalid bit length repeat",n.mode=Hn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(k=_+3;c>>=_,c-=_,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(k=_+7;c>>=_,c-=_,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Hn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Hn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Hn;break}if(n.lenbits=9,T={bits:n.lenbits},C=Ep(lL,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid literal/lengths set",n.mode=Hn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},C=Ep(uL,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,C){e.msg="invalid distances set",n.mode=Hn;break}if(n.mode=Iy,t===Ry)break e;case Iy:n.mode=Oy;case Oy:if(a>=6&&l>=258){e.next_out=s,e.avail_out=l,e.next_in=o,e.avail_in=a,n.hold=u,n.bits=c,wse(e,f),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,n.mode===Pa&&(n.back=-1);break}for(n.back=0;b=n.lencode[u&(1<>>24,y=b>>>16&255,g=b&65535,!(_<=c);){if(a===0)break e;a--,u+=r[o++]<>v)],_=b>>>24,y=b>>>16&255,g=b&65535,!(v+_<=c);){if(a===0)break e;a--,u+=r[o++]<>>=v,c-=v,n.back+=v}if(u>>>=_,c-=_,n.back+=_,n.length=g,y===0){n.mode=GP;break}if(y&32){n.back=-1,n.mode=Pa;break}if(y&64){e.msg="invalid literal/length 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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(U0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Hu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===La&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Hu)){const{scene:t,filter:n,hit:r}=this._cache.get(Hu);It.Util.releaseCanvas(t,n,r),this._cache.delete(Hu)}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){It.Util.error("Can 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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 Xy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Xy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Xy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Hu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(z0),this._clearSelfAndDescendantCache(U8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.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(Hu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Hu)}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{var n,r;if(!t)return this;for(n in t)n!==Nve&&(r=G8+It.Util._capitalize(n),It.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(n3,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(r3,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;jo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Gu.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;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Lve&&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(Al),this._clearSelfAndDescendantCache(La)),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 It.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(Al);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(Al),this._clearSelfAndDescendantCache(La),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;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return It.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 It.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&It.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(z0,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=It.Util.isObject(i)&&!It.Util._isPlainObject(i)&&!It.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(),It.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{try{const i=t==null?void 0:t.callback;i&&delete t.callback,It.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():Gu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=0;if(r&&!this.isDragging()){var i=!1;jo.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=jo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&jo.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 It.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return It.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ut.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Gu.Konva[r]||(It.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Gu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}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;n0?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=Cw.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=Cw.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 b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),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(b){b[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 b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;hQ.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&O.pointer;if(j==="touch")return O.touch;if(j==="mouse")return O.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="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 Y extends r.Container{constructor(j){super(V(j)),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",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",te=j.getType()==="FastLayer";K||te||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var te;j.charAt(0)!=="#"?te=j:te=j.slice(1),j=document.getElementById(te)}if(!j)throw"Can not find container in document with id "+te}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,te;for(te=0;te-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),te=K.getContext()._context,oe=this.children;return(j.x||j.y)&&te.translate(-1*j.x,-1*j.y),oe.forEach(function(me){if(me.isVisible()){var le=me._toKonvaCanvas(j);te.drawImage(le._canvas,j.x,j.y,le.getWidth()/le.getPixelRatio(),le.getHeight()/le.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,te=K.length,oe=te-1,me;for(me=oe;me>=0;me--){const le=K[me].getIntersection(j);if(le)return le}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(te=>{te.setSize({width:j,height:K}),te.draw()})}add(j,...K){if(arguments.length>1){for(var te=0;teR&&t.Util.warn("The stage has "+oe+" 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."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&I.forEach(([j,K])=>{this.content.addEventListener(j,te=>{this[K](te)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=this._getTargetShape(te),me=!s.DD.isDragging||i.Konva.hitOnDragEnabled;oe&&me?(oe._fireAndBubble(K.pointerout,{evt:j}),oe._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[te+"targetShape"]=null):me&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),te=F(j.type);if(K){this.setPointersPositions(j);var oe=!1;this._changedPointerPositions.forEach(me=>{var le=this.getIntersection(me);if(s.DD.justDragged=!1,i.Konva["_"+te+"ListenClick"]=!0,!(le&&le.isListening()))return;i.Konva.capturePointerEventsEnabled&&le.setPointerCapture(me.id),this[te+"ClickStartShape"]=le,le._fireAndBubble(K.pointerdown,{evt:j,pointerId:me.id}),oe=!0;const nt=j.type.indexOf("touch")>=0;le.preventDefault()&&j.cancelable&&nt&&j.preventDefault()}),oe||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),te=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var oe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!oe)return;var me={};let le=!1;var ht=this._getTargetShape(te);this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt),ct=nt.id,Pe={evt:j,pointerId:ct};var qt=ht!==$e;if(qt&&ht&&(ht._fireAndBubble(K.pointerout,Object.assign({},Pe),$e),ht._fireAndBubble(K.pointerleave,Object.assign({},Pe),$e)),$e){if(me[$e._id])return;me[$e._id]=!0}$e&&$e.isListening()?(le=!0,qt&&($e._fireAndBubble(K.pointerover,Object.assign({},Pe),ht),$e._fireAndBubble(K.pointerenter,Object.assign({},Pe),ht),this[te+"targetShape"]=$e),$e._fireAndBubble(K.pointermove,Object.assign({},Pe))):ht&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:ct}),this[te+"targetShape"]=null)}),le||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),te=F(j.type);if(!K)return;this.setPointersPositions(j);const oe=this[te+"ClickStartShape"],me=this[te+"ClickEndShape"];var le={};let ht=!1;this._changedPointerPositions.forEach(nt=>{const $e=l.getCapturedShape(nt.id)||this.getIntersection(nt);if($e){if($e.releaseCapture(nt.id),le[$e._id])return;le[$e._id]=!0}const ct=nt.id,Pe={evt:j,pointerId:ct};let qt=!1;i.Konva["_"+te+"InDblClickWindow"]?(qt=!0,clearTimeout(this[te+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+te+"InDblClickWindow"]=!0,clearTimeout(this[te+"DblTimeout"])),this[te+"DblTimeout"]=setTimeout(function(){i.Konva["_"+te+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),$e&&$e.isListening()?(ht=!0,this[te+"ClickEndShape"]=$e,$e._fireAndBubble(K.pointerup,Object.assign({},Pe)),i.Konva["_"+te+"ListenClick"]&&oe&&oe===$e&&($e._fireAndBubble(K.pointerclick,Object.assign({},Pe)),qt&&me&&me===$e&&$e._fireAndBubble(K.pointerdblclick,Object.assign({},Pe)))):(this[te+"ClickEndShape"]=null,i.Konva["_"+te+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:ct}),qt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:ct}))}),ht||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+te+"ListenClick"]=!1,j.cancelable&&te!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),te=null,oe=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,me=>{this._pointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,me=>{this._changedPointerPositions.push({id:me.identifier,x:(me.clientX-K.left)/K.scaleX,y:(me.clientY-K.top)/K.scaleY})})):(te=(j.clientX-K.left)/K.scaleX,oe=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:te,y:oe},this._pointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:te,y:oe,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.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 j=this.container();if(!j)throw"Stage has no container. A container is required.";j.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"),j.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(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(az);var zm={},jr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=At,n=sr,r=Et,i=Qn,o=We,s=At,a=ko;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(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function y(A){A.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=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 T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),E=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(E)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),E=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;Pthis.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 T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.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(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),E=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&E&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&E&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),I=R?this.shadowOffsetX():0,O=R?this.shadowOffsetY():0,F=D+Math.abs(I),U=B+Math.abs(O),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(I,0)+N.x,y:-(P/2+V)+Math.min(O,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),E=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,I,O,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){E.save();var V=this.getAbsoluteTransform(k).getMatrix();return E.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!D)return this;if(E.save(),this._useBufferCanvas()&&!F){R=this.getStage(),I=R.bufferCanvas,O=I.getContext(),O.clear(),O.save(),O._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();O.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,O,this),O.restore();var Y=I.pixelRatio;B&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(I._canvas,0,0,I.width/Y,I.height/Y)}else{if(E._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();E.transform(H[0],H[1],H[2],H[3],H[4],H[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}B&&E._applyShadow(this),D.call(this,E,this)}return E.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),E=T||N.hitCanvas,P=E&&E.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.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){P.save();var I=this.getAbsoluteTransform(k).getMatrix();return P.transform(I[0],I[1],I[2],I[3],I[4],I[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,E=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,I,O,F,U;E.clear(),E.drawImage(L._canvas,0,0,P,D);try{for(B=E.getImageData(0,0,P,D),R=B.data,I=R.length,O=n.Util._hexToRgb(this.colorKey),F=0;FT?(R[F]=O.r,R[F+1]=O.g,R[F+2]=O.b,R[F+3]=255):R[F+3]=0;E.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=b,C.prototype._fillFuncHit=_,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",v),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",S),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"})})(jr);Object.defineProperty(zm,"__esModule",{value:!0});zm.Layer=void 0;const Oa=sr,Ew=Yc,xd=Qn,wT=Et,W8=Ns,Vve=We,Gve=jr,Hve=At;var qve="#",Wve="beforeDraw",Kve="draw",cz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Xve=cz.length;class fh extends Ew.Container{constructor(t){super(t),this.canvas=new W8.SceneCanvas,this.hitCanvas=new W8.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{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;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Wve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Ew.Container.prototype.drawScene.call(this,i,n),this._fire(Kve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Ew.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Oa.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Oa.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 Oa.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}zm.Layer=fh;fh.prototype.nodeType="Layer";(0,Hve._registerNode)(fh);wT.Factory.addGetterSetter(fh,"imageSmoothingEnabled",!0);wT.Factory.addGetterSetter(fh,"clearBeforeDraw",!0);wT.Factory.addGetterSetter(fh,"hitGraphEnabled",!0,(0,Vve.getBooleanValidator)());var Hb={};Object.defineProperty(Hb,"__esModule",{value:!0});Hb.FastLayer=void 0;const Qve=sr,Yve=zm,Zve=At;class xT extends Yve.Layer{constructor(t){super(t),this.listening(!1),Qve.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}Hb.FastLayer=xT;xT.prototype.nodeType="FastLayer";(0,Zve._registerNode)(xT);var hh={};Object.defineProperty(hh,"__esModule",{value:!0});hh.Group=void 0;const Jve=sr,e1e=Yc,t1e=At;class CT extends e1e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Jve.Util.throw("You may only add groups and shapes to groups.")}}hh.Group=CT;CT.prototype.nodeType="Group";(0,t1e._registerNode)(CT);var ph={};Object.defineProperty(ph,"__esModule",{value:!0});ph.Animation=void 0;const Tw=At,K8=sr;var Aw=function(){return Tw.glob.performance&&Tw.glob.performance.now?function(){return Tw.glob.performance.now()}:function(){return new Date().getTime()}}();class na{constructor(t,n){this.id=na.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Aw(),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;ithis.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,b=p.node,_=b._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.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(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,y,g,v,S,w,x,C,A;if(v=f.tweens[_][p],v&&delete f.attrs[_][v][p],y=b.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,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,b.closed()))),p.indexOf("fill")===0)for(S=0;S{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,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];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,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,y){var g=0;return h===0?p:(h/=b)===1?p+m:(y||(y=b*.3),!_||_0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}qb.Arc=yl;yl.prototype._centroid=!0;yl.prototype.className="Arc";yl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,r1e._registerNode)(yl);Wb.Factory.addGetterSetter(yl,"innerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"outerRadius",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"angle",0,(0,Kb.getNumberValidator)());Wb.Factory.addGetterSetter(yl,"clockwise",!1,(0,Kb.getBooleanValidator)());var Xb={},Um={};Object.defineProperty(Um,"__esModule",{value:!0});Um.Line=void 0;const Qb=Et,i1e=jr,fz=We,o1e=At;function i3(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function Q8(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,c,d;u=l/2,c=0;for(let h=0;h<20;h++)d=u*e.tValues[20][h]+u,c+=e.cValues[20][h]*r(s,a,d);return u*c};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],c=a[0]-2*a[1]+a[2],d=2*s[1]-2*s[0],f=2*a[1]-2*a[0],h=4*(u*u+c*c),p=4*(u*d+c*f),m=d*d+f*f;if(h===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const b=p/(2*h),_=m/h,y=l+b,g=_-b*b,v=y*y+g>0?Math.sqrt(y*y+g):0,S=b*b+g>0?Math.sqrt(b*b+g):0,w=b+Math.sqrt(b*b+g)!==0?g*Math.log(Math.abs((y+v)/(b+S))):0;return Math.sqrt(h)/2*(y*v-b*S+w)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),c=i(1,l,a),d=u*u+c*c;return Math.sqrt(d)}const i=(s,a,l)=>{const u=l.length-1;let c,d;if(u===0)return 0;if(s===0){d=0;for(let f=0;f<=u;f++)d+=e.binomialCoefficients[u][f]*Math.pow(1-a,u-f)*Math.pow(a,f)*l[f];return d}else{c=new Array(u);for(let f=0;f{let u=1,c=s/a,d=(s-l(c))/a,f=0;for(;u>.001;){const h=l(c+d),p=Math.abs(s-h)/a;if(p500)break}return c};e.t2length=o})(hz);Object.defineProperty(gh,"__esModule",{value:!0});gh.Path=void 0;const s1e=Et,a1e=jr,l1e=At,Cd=hz;class Dr extends a1e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Dr.parsePathData(this.data()),this.pathLength=Dr.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;ic?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),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)f;p-=h){const m=Dr.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;pn[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 Dr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Dr.getPointOnCubicBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.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 Dr.getPointOnQuadraticBezier((0,Cd.t2length)(t,Dr.getPathLength(n),m=>(0,Cd.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,Dr.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));i0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,A,T,k,L,N,E,P;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 D=p.shift(),B=p.shift();if(l+=D,u+=B,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]+D,u=s[R].points[1]+B;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":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),E=l,P=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,P,l,u,L,N,A,T,k);break}s.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,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=Dr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Cd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Cd.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)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;l1&&(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,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return 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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}}}Xb.Arrow=Jc;Jc.prototype.className="Arrow";(0,c1e._registerNode)(Jc);Yb.Factory.addGetterSetter(Jc,"pointerLength",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerWidth",10,(0,pz.getNumberValidator)());Yb.Factory.addGetterSetter(Jc,"pointerAtBeginning",!1);Yb.Factory.addGetterSetter(Jc,"pointerAtEnding",!0);var Zb={};Object.defineProperty(Zb,"__esModule",{value:!0});Zb.Circle=void 0;const d1e=Et,f1e=jr,h1e=We,p1e=At;let mh=class extends f1e.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 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this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Jb.Ellipse=Nu;Nu.prototype.className="Ellipse";Nu.prototype._centroid=!0;Nu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,m1e._registerNode)(Nu);ET.Factory.addComponentsGetterSetter(Nu,"radius",["x","y"]);ET.Factory.addGetterSetter(Nu,"radiusX",0,(0,gz.getNumberValidator)());ET.Factory.addGetterSetter(Nu,"radiusY",0,(0,gz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Image=void 0;const kw=sr,ed=Et,y1e=jr,v1e=At,jm=We;let Ca=class mz extends y1e.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 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b1e.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{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)}}rS.RegularPolygon=nd;nd.prototype.className="RegularPolygon";nd.prototype._centroid=!0;nd.prototype._attrsAffectingSize=["radius"];(0,R1e._registerNode)(nd);_z.Factory.addGetterSetter(nd,"radius",0,(0,bz.getNumberValidator)());_z.Factory.addGetterSetter(nd,"sides",0,(0,bz.getNumberValidator)());var iS={};Object.defineProperty(iS,"__esModule",{value:!0});iS.Ring=void 0;const Sz=Et,I1e=jr,wz=We,O1e=At;var Z8=Math.PI*2;class rd extends I1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,Z8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),Z8,0,!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)}}iS.Ring=rd;rd.prototype.className="Ring";rd.prototype._centroid=!0;rd.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,O1e._registerNode)(rd);Sz.Factory.addGetterSetter(rd,"innerRadius",0,(0,wz.getNumberValidator)());Sz.Factory.addGetterSetter(rd,"outerRadius",0,(0,wz.getNumberValidator)());var oS={};Object.defineProperty(oS,"__esModule",{value:!0});oS.Sprite=void 0;const id=Et,M1e=jr,N1e=ph,xz=We,D1e=At;class Ea extends M1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new N1e.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{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Zy;function Rw(){return Zy||(Zy=u3.Util.createCanvasElement().getContext(j1e),Zy)}function J1e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function e_e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function t_e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let br=class extends F1e.Shape{constructor(t){super(t_e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=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=u3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(V1e,n),this}getWidth(){var t=this.attrs.width===Ed||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Ed||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 u3.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=Rw(),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()+Yy+this.fontVariant()+Yy+(this.fontSize()+W1e)+Z1e(this.fontFamily())}_addTextLine(t){this.align()===Vh&&(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 Rw().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!==Ed&&o!==void 0,l=s!==Ed&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==tR,m=h!==Q1e&&p,b=this.ellipsis();this.textArr=[],Rw().font=this._getContextFont();for(var _=b?this._getTextWidth(Pw):0,y=0,g=t.length;yc)for(;v.length>0;){for(var w=0,x=v.length,C="",A=0;w>>1,k=v.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,C=k,A=L):x=T}if(C){if(m){var N,E=v[C.length],P=E===Yy||E===J8;P&&A<=c?N=C.length:N=Math.max(C.lastIndexOf(Yy),C.lastIndexOf(J8))+1,N>0&&(w=N,C=C.slice(0,w),A=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&yd)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Ed&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==tR;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Ed&&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+Pw)n?null:Gh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Gh.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=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${Oz}`).join(" "),iR="nodesRect",u_e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],c_e={"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 d_e="ontouchstart"in vs.Konva._global;function f_e(e,t){if(e==="rotater")return"crosshair";t+=gn.Util.degToRad(c_e[e]||0);var n=(gn.Util.radToDeg(t)%360+360)%360;return gn.Util._inRange(n,315+22.5,360)||gn.Util._inRange(n,0,22.5)?"ns-resize":gn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":gn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":gn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":gn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":gn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":gn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":gn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(gn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var A1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],oR=1e8;function h_e(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 Mz(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 p_e(e,t){const n=h_e(e);return Mz(e,t,n)}function g_e(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(gn.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(u_e.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(iR),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(iR,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=(vs.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 Mz(c,-vs.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-oR,y:-oR,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 gn.Transform;r.rotate(-vs.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:vs.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(),A1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new s_e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:d_e?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=vs.Konva.getAngle(this.rotation()),o=f_e(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 o_e.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()*gn.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=vs.Konva.getAngle(this.rotation());const E=f+N,P=vs.Konva.getAngle(this.rotationSnapTolerance()),B=g_e(this.rotationSnaps(),E,P)-d.rotation,R=p_e(d,B);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 b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,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 b=this.findOne(".top-right").x()m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,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 b=m.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(gn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(gn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new gn.Transform;if(s.rotate(vs.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:gn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new gn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new gn.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 gn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),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(gn.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(gn.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()*gn.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=""),rR.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return nR.Node.prototype.toObject.call(this)}clone(t){var n=nR.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}lS.Transformer=Ht;function m_e(e){return e instanceof Array||gn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){A1.indexOf(t)===-1&&gn.Util.warn("Unknown anchor name: "+t+". 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vl extends y_e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,v_e.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)}}uS.Wedge=vl;vl.prototype.className="Wedge";vl.prototype._centroid=!0;vl.prototype._attrsAffectingSize=["radius"];(0,__e._registerNode)(vl);cS.Factory.addGetterSetter(vl,"radius",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"angle",0,(0,Nz.getNumberValidator)());cS.Factory.addGetterSetter(vl,"clockwise",!1);cS.Factory.backCompat(vl,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var dS={};Object.defineProperty(dS,"__esModule",{value:!0});dS.Blur=void 0;const sR=Et,b_e=Qn,S_e=We;function aR(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var 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C_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,y,g,v,S,w,x,C,A,T,k,L,N=t+t+1,E=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new aR,I=null,O=R,F=null,U=null,V=w_e[t],H=x_e[t];for(a=1;a>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=d+((l=o+t+1)>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=y,m-=g,b-=F.r,_-=F.g,y-=F.b,g-=F.a,l=o+((l=s+D)0&&C_e(t,n)};dS.Blur=E_e;sR.Factory.addGetterSetter(b_e.Node,"blurRadius",0,(0,S_e.getNumberValidator)(),sR.Factory.afterSetFilter);var fS={};Object.defineProperty(fS,"__esModule",{value:!0});fS.Brighten=void 0;const lR=Et,T_e=Qn,A_e=We,k_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i255?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};hS.Contrast=I_e;uR.Factory.addGetterSetter(P_e.Node,"contrast",0,(0,R_e.getNumberValidator)(),uR.Factory.afterSetFilter);var pS={};Object.defineProperty(pS,"__esModule",{value:!0});pS.Emboss=void 0;const Su=Et,gS=Qn,O_e=sr,Dz=We,M_e=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:O_e.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 b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var y=p+(m-1+_)*4,g=a[b]-a[y],v=a[b+1]-a[y+1],S=a[b+2]-a[y+2],w=g,x=w>0?w:-w,C=v>0?v:-v,A=S>0?S:-S;if(C>x&&(w=v),A>x&&(w=S),w*=t,i){var T=a[b]+w,k=a[b+1]+w,L=a[b+2]+w;a[b]=T>255?255:T<0?0:T,a[b+1]=k>255?255:k<0?0:k,a[b+2]=L>255?255:L<0?0:L}else{var N=n-w;N<0?N=0:N>255&&(N=255),a[b]=a[b+1]=a[b+2]=N}}while(--m)}while(--d)};pS.Emboss=M_e;Su.Factory.addGetterSetter(gS.Node,"embossStrength",.5,(0,Dz.getNumberValidator)(),Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossWhiteLevel",.5,(0,Dz.getNumberValidator)(),Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossDirection","top-left",null,Su.Factory.afterSetFilter);Su.Factory.addGetterSetter(gS.Node,"embossBlend",!1,null,Su.Factory.afterSetFilter);var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Enhance=void 0;const cR=Et,N_e=Qn,D_e=We;function Mw(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 L_e=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;fi&&(i=o),l=t[f+1],la&&(a=l),d=t[f+2],dc&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,y,g,v,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),y=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,y=a+h*(a-_),g=s+h*(s-_),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f_?b:_;var y=s,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;Sg?y:g;var v=s,S=o,w,x,C=n.polarRotation||0,A,T;for(c=0;ct&&(v=g,S=0,w=-1),i=0;i=0&&h=0&&p=0&&h=0&&p=255*4?255:0}return s}function Y_e(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=0&&h=0&&p=n))for(o=m;o=r||(s=(n*o+i)*4,a+=v[s+0],l+=v[s+1],u+=v[s+2],c+=v[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i=n))for(o=m;o=r||(s=(n*o+i)*4,v[s+0]=a,v[s+1]=l,v[s+2]=u,v[s+3]=c)}};CS.Pixelate=obe;pR.Factory.addGetterSetter(rbe.Node,"pixelSize",8,(0,ibe.getNumberValidator)(),pR.Factory.afterSetFilter);var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Posterize=void 0;const gR=Et,sbe=Qn,abe=We,lbe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});P1.Factory.addGetterSetter(NT.Node,"blue",0,ube.RGBComponent,P1.Factory.afterSetFilter);var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.RGBA=void 0;const Vg=Et,kS=Qn,dbe=We,fbe=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;a255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Vg.Factory.addGetterSetter(kS.Node,"blue",0,dbe.RGBComponent,Vg.Factory.afterSetFilter);Vg.Factory.addGetterSetter(kS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Sepia=void 0;const hbe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(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)};RS.Solarize=pbe;var IS={};Object.defineProperty(IS,"__esModule",{value:!0});IS.Threshold=void 0;const mR=Et,gbe=Qn,mbe=We,ybe=function(e){var 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I=k.width,O=k.height;R.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:I,height:O,image:t},R.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:I,height:O,image:n},R.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:A,height:T},R.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:A,height:T},R.nodes[Ee].width=I,R.nodes[Ee].height=O,R.nodes[yn].width=I,R.nodes[yn].height=O,R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else R.nodes[Ee].width=A,R.nodes[Ee].height=T,R.nodes[yn].width=A,R.nodes[yn].height=T,R.nodes[Un]={...R.nodes[Un],image:t},R.nodes[Oi]={...R.nodes[Oi],image:n},R.nodes[Bn]={...R.nodes[Bn],image:t},R.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(g!=="unmasked"&&(R.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:E},P?R.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):R.nodes[Lt]={...R.nodes[Lt],image:t},g==="mask"&&(P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):R.nodes[Lt]={...R.nodes[Lt],mask:n}),g==="edge"&&(R.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},P?R.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):R.nodes[cr]={...R.nodes[cr],image:n},R.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),R.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const I={id:$r,type:"rand_int"};R.nodes[$r]=I,R.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else R.nodes[Xn].start=f;return(x||C)&&(ds(e,R,D),D=Br),fs(e,R,D),yh(e,R,Oe,D),ls(e,R,Oe),us(e,R,Oe),e.system.shouldUseNSFWChecker&&cs(e,R,ye),e.system.shouldUseWatermarker&&hs(e,R,ye),R},wwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:c,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:p,shouldUseNoiseSettings:m,shouldUseCpuNoise:b,maskBlur:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,infillTileSize:S,infillPatchmatchDownscaleSize:w,infillMethod:x,clipSkip:C,seamlessXAxis:A,seamlessYAxis:T}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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I=b,O={id:NS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:C},[Ue]:{type:"compel",id:Ue,is_intermediate:!0,prompt:i},[He]:{type:"compel",id:He,is_intermediate:!0,prompt:o},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:B?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(x==="patchmatch"&&(O.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:w}),x==="lama"&&(O.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),x==="cv2"&&(O.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),x==="tile"&&(O.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;O.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:F,height:U,image:t},O.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:F,height:U},O.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},O.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:k,height:L},O.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},O.nodes[Ee].width=F,O.nodes[Ee].height=U,O.nodes[yn].width=F,O.nodes[yn].height=U,O.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else O.nodes[Ut]={...O.nodes[Ut],image:t},O.nodes[Ee].width=k,O.nodes[Ee].height=L,O.nodes[yn].width=k,O.nodes[yn].height=L,O.nodes[Un]={...O.nodes[Un],image:t},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(O.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},O.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),y==="mask"&&(B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),y==="edge"&&(O.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:_,edge_size:_*2,low_threshold:100,high_threshold:200},B?O.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):O.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),O.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),O.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),h){const F={id:$r,type:"rand_int"};O.nodes[$r]=F,O.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else O.nodes[Xn].start=f;return(A||T)&&(ds(e,O,R),R=Br),fs(e,O,R),yh(e,O,Oe,R),ls(e,O,Oe),us(e,O,Oe),e.system.shouldUseNSFWChecker&&cs(e,O,ye),e.system.shouldUseWatermarker&&hs(e,O,ye),O},vh=(e,t,n,r=Mi)=>{const{loras:i}=e.lora,o=O_(i),s=t.nodes[Pt],a=r;let l=r;[Br,Ba].includes(r)&&(l=Mi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;rs(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${Vz}_${f.replace(".","_")}`,b={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};s&&(s.loras||(s.loras=[]),s.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=b,c===0?(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[Bc,zc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:_t,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Ue,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:He,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Ue,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:He,field:"clip2"}})),u=m,c+=1})},sd=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},_h=(e,t,n,r,i)=>{const{refinerModel:o,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:a,refinerSteps:l,refinerScheduler:u,refinerCFGScale:c,refinerStart:d}=e.sdxl,{seamlessXAxis:f,seamlessYAxis:h,vaePrecision:p}=e.generation,{boundingBoxScaleMethod:m}=e.canvas,b=p==="fp32",_=["auto","manual"].includes(m);if(!o)return;const y=t.nodes[Pt];y&&(y.refiner_model=o,y.refiner_positive_aesthetic_score=s,y.refiner_negative_aesthetic_score=a,y.refiner_cfg_scale=c,y.refiner_scheduler=u,y.refiner_start=d,y.refiner_steps=l);const g=r||Mi,{craftedPositiveStylePrompt:v,craftedNegativeStylePrompt:S}=sd(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[Ku]={type:"sdxl_refiner_model_loader",id:Ku,model:o},t.nodes[t0]={type:"sdxl_refiner_compel_prompt",id:t0,style:v,aesthetic_score:s},t.nodes[n0]={type:"sdxl_refiner_compel_prompt",id:n0,style:S,aesthetic_score:a},t.nodes[Ws]={type:"denoise_latents",id:Ws,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[As]={id:As,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:As,field:"unet"}},{source:{node_id:Ku,field:"vae"},destination:{node_id:As,field:"vae"}},{source:{node_id:As,field:"unet"},destination:{node_id:Ws,field:"unet"}})):t.edges.push({source:{node_id:Ku,field:"unet"},destination:{node_id:Ws,field:"unet"}}),t.edges.push({source:{node_id:Ku,field:"clip2"},destination:{node_id:t0,field:"clip2"}},{source:{node_id:Ku,field:"clip2"},destination:{node_id:n0,field:"clip2"}},{source:{node_id:t0,field:"conditioning"},destination:{node_id:Ws,field:"positive_conditioning"}},{source:{node_id:n0,field:"conditioning"},destination:{node_id:Ws,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Ws,field:"latents"}}),(t.id===Bc||t.id===zc)&&(t.nodes[Ba]={type:"create_denoise_mask",id:Ba,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ba,field:"image"}}):t.nodes[Ba]={...t.nodes[Ba],image:i},t.edges.push({source:{node_id:_?zn:vi,field:"image"},destination:{node_id:Ba,field:"mask"}},{source:{node_id:Ba,field:"denoise_mask"},destination:{node_id:Ws,field:"denoise_mask"}})),t.id===DS||t.id===Hg?t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:_?Ke:ye,field:"latents"}}):t.edges.push({source:{node_id:Ws,field:"latents"},destination:{node_id:Ke,field:"latents"}})},xwe=(e,t)=>{const n=ge("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:y}=e.sdxl,{width:g,height:v}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,C=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Mi;const k=f?d:zs.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=sd(e,y),E={id:Hg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:r,style:L},[He]:{type:"sdxl_compel_prompt",id:He,prompt:i,style:N},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:v},[Fn]:{type:"i2l",id:Fn,is_intermediate:!0,fp32:C},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Ce,field:"latents"}}]};return A?(E.nodes[vf]={id:vf,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},E.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:!0,fp32:C},E.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!x,width:g,height:v},E.edges.push({source:{node_id:vf,field:"image"},destination:{node_id:Fn,field:"image"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(E.nodes[ye]={type:"l2i",id:ye,is_intermediate:!x,fp32:C},E.nodes[Fn].image=t,E.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),E.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:v,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},E.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(h||p)&&(ds(e,E,T),T=Br),m&&(_h(e,E,Ce,T),(h||p)&&(T=As)),fs(e,E,T),vh(e,E,Ce,T),Bu(e,E),ls(e,E,Ce),us(e,E,Ce),e.system.shouldUseNSFWChecker&&cs(e,E,ye),e.system.shouldUseWatermarker&&hs(e,E,ye),E},Cwe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:y,canvasCoherenceSteps:g,canvasCoherenceStrength:v,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:C,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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I=m,{craftedPositiveStylePrompt:O,craftedNegativeStylePrompt:F}=sd(e,T),U={id:Bc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:O},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:F},[Oi]:{type:"img_blur",id:Oi,is_intermediate:!0,radius:b,blur_type:_},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:D},[Ee]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:D},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:C?Math.min(A,1-x):1-x,denoising_end:C?A:1},[yn]:{type:"noise",id:Ee,use_cpu:I,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-v,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:D},[ye]:{type:"color_correct",id:ye,is_intermediate:!P,reference:t},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:Oi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:k,height:L},U.nodes[Ee].width=V,U.nodes[Ee].height=H,U.nodes[yn].width=V,U.nodes[yn].height=H,U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:Oi,field:"image"}},{source:{node_id:bi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else U.nodes[Ee].width=k,U.nodes[Ee].height=L,U.nodes[yn].width=k,U.nodes[yn].height=L,U.nodes[Un]={...U.nodes[Un],image:t},U.nodes[Oi]={...U.nodes[Oi],image:n},U.nodes[Bn]={...U.nodes[Bn],image:t},U.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:Oi,field:"image"},destination:{node_id:ye,field:"mask"}});if(y!=="unmasked"&&(U.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Lt,field:"image"}}):U.nodes[Lt]={...U.nodes[Lt],image:t},y==="mask"&&(B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):U.nodes[Lt]={...U.nodes[Lt],mask:n}),y==="edge"&&(U.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):U.nodes[cr]={...U.nodes[cr],image:n},U.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),U.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const V={id:$r,type:"rand_int"};U.nodes[$r]=V,U.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else U.nodes[Xn].start=d;return(S||w)&&(ds(e,U,R),R=Br),C&&(_h(e,U,_t,R,t),(S||w)&&(R=As)),fs(e,U,R),vh(e,U,Ce,R),ls(e,U,Ce),us(e,U,Ce),e.system.shouldUseNSFWChecker&&cs(e,U,ye),e.system.shouldUseWatermarker&&hs(e,U,ye),U},Ewe=(e,t,n)=>{const r=ge("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:y,canvasCoherenceStrength:g,infillTileSize:v,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:C}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:N,height:E}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:D,shouldAutoSave:B}=e.canvas,R=h==="fp32",I=["auto","manual"].includes(D);let O=Mi;const F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=sd(e,L),H={id:zc,nodes:{[Mi]:{type:"sdxl_model_loader",id:Mi,model:s},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:i,style:U},[He]:{type:"sdxl_compel_prompt",id:He,prompt:o,style:V},[_f]:{type:"tomask",id:_f,is_intermediate:!0,image:t},[vi]:{type:"mask_combine",id:vi,is_intermediate:!0,mask2:n},[Un]:{type:"i2l",id:Un,is_intermediate:!0,fp32:R},[Ee]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Bn]:{type:"create_denoise_mask",id:Bn,is_intermediate:!0,fp32:R},[Ce]:{type:"denoise_latents",id:Ce,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[yn]:{type:"noise",id:Ee,use_cpu:F,is_intermediate:!0},[Li]:{type:"add",id:Li,b:1,is_intermediate:!0},[_t]:{type:"denoise_latents",id:_t,is_intermediate:!0,steps:y,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:!0,fp32:R},[ye]:{type:"color_correct",id:ye,is_intermediate:!B},[Xn]:{type:"range_of_size",id:Xn,is_intermediate:!0,size:c,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:Mi,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:Mi,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Mi,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Un,field:"image"}},{source:{node_id:_f,field:"image"},destination:{node_id:vi,field:"mask1"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Un,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:I?zn:vi,field:"image"},destination:{node_id:Bn,field:"mask"}},{source:{node_id:Bn,field:"denoise_mask"},destination:{node_id:Ce,field:"denoise_mask"}},{source:{node_id:Xn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Ee,field:"seed"}},{source:{node_id:sn,field:"item"},destination:{node_id:Li,field:"a"}},{source:{node_id:Li,field:"value"},destination:{node_id:yn,field:"seed"}},{source:{node_id:O,field:"unet"},destination:{node_id:_t,field:"unet"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:_t,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:_t,field:"negative_conditioning"}},{source:{node_id:yn,field:"noise"},destination:{node_id:_t,field:"noise"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:_t,field:"latents"}},{source:{node_id:Ut,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:_t,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Ut]={type:"infill_patchmatch",id:Ut,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Ut]={type:"infill_lama",id:Ut,is_intermediate:!0}),w==="cv2"&&(H.nodes[Ut]={type:"infill_cv2",id:Ut,is_intermediate:!0}),w==="tile"&&(H.nodes[Ut]={type:"infill_tile",id:Ut,is_intermediate:!0,tile_size:v}),I){const Y=P.width,Q=P.height;H.nodes[bi]={type:"img_resize",id:bi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[zn]={type:"img_resize",id:zn,is_intermediate:!0,width:Y,height:Q},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:E},H.nodes[ql]={type:"img_resize",id:ql,is_intermediate:!0,width:N,height:E},H.nodes[$i]={type:"img_resize",id:$i,is_intermediate:!0,width:N,height:E},H.nodes[Ee].width=Y,H.nodes[Ee].height=Q,H.nodes[yn].width=Y,H.nodes[yn].height=Q,H.edges.push({source:{node_id:bi,field:"image"},destination:{node_id:Ut,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:zn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:zn,field:"image"},destination:{node_id:$i,field:"image"}},{source:{node_id:Ut,field:"image"},destination:{node_id:ql,field:"image"}},{source:{node_id:ql,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Di,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:$i,field:"image"},destination:{node_id:ye,field:"mask"}})}else H.nodes[Ut]={...H.nodes[Ut],image:t},H.nodes[Ee].width=N,H.nodes[Ee].height=E,H.nodes[yn].width=N,H.nodes[yn].height=E,H.nodes[Un]={...H.nodes[Un],image:t},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:ye,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:ye,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Lt]={type:"create_denoise_mask",id:Lt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Ut,field:"image"},destination:{node_id:Lt,field:"image"}}),_==="mask"&&(I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:Lt,field:"mask"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Lt,field:"mask"}})),_==="edge"&&(H.nodes[cr]={type:"mask_edge",id:cr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},I?H.edges.push({source:{node_id:zn,field:"image"},destination:{node_id:cr,field:"image"}}):H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:cr,field:"image"}}),H.edges.push({source:{node_id:cr,field:"image"},destination:{node_id:Lt,field:"mask"}})),H.edges.push({source:{node_id:Lt,field:"denoise_mask"},destination:{node_id:_t,field:"denoise_mask"}})),f){const Y={id:$r,type:"rand_int"};H.nodes[$r]=Y,H.edges.push({source:{node_id:$r,field:"value"},destination:{node_id:Xn,field:"start"}})}else H.nodes[Xn].start=d;return(x||C)&&(ds(e,H,O),O=Br),T&&(_h(e,H,_t,O,t),(x||C)&&(O=As)),fs(e,H,O),vh(e,H,Ce,O),ls(e,H,Ce),us(e,H,Ce),e.system.shouldUseNSFWChecker&&cs(e,H,ye),e.system.shouldUseWatermarker&&hs(e,H,ye),H},Twe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=d?c:zs.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?OS:Mi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Ce,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:E}=sd(e,x),P={id:DS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Ue]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ue,is_intermediate:!0,prompt:n,style:N},[He]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:He,is_intermediate:!0,prompt:r,style:E},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:C},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}}]};return v?(P.nodes[Ke]={id:Ke,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(P.nodes[ye]={type:A?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},P.edges.push({source:{node_id:Ce,field:"latents"},destination:{node_id:ye,field:"latents"}})),P.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,P,T),T=Br),S&&(_h(e,P,Ce,T),(f||h)&&(T=As)),vh(e,P,Ce,T),fs(e,P,T),Bu(e,P),ls(e,P,Ce),us(e,P,Ce),e.system.shouldUseNSFWChecker&&cs(e,P,ye),e.system.shouldUseWatermarker&&hs(e,P,ye),P},Awe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:y}=e.canvas,g=l==="fp32",v=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:zs.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?OS:Fu;const C=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Oe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Hz,nodes:{[x]:{type:C,id:x,is_intermediate:!0,model:i},[Gt]:{type:"clip_skip",id:Gt,is_intermediate:!0,skipped_layers:u},[Ue]:{type:w?"prompt_onnx":"compel",id:Ue,is_intermediate:!0,prompt:n},[He]:{type:w?"prompt_onnx":"compel",id:He,is_intermediate:!0,prompt:r},[Ee]:{type:"noise",id:Ee,is_intermediate:!0,width:v?b.width:p,height:v?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}}]};return v?(T.nodes[Ke]={id:Ke,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[ye]={id:ye,type:"img_resize",is_intermediate:!y,width:p,height:m},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ye,field:"image"}})):(T.nodes[ye]={type:w?"l2i_onnx":"l2i",id:ye,is_intermediate:!y,fp32:g},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:ye,field:"latents"}})),T.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?b.width:p,height:v?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},T.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:ye,field:"metadata"}}),(f||h)&&(ds(e,T,x),x=Br),fs(e,T,x),yh(e,T,Oe,x),Bu(e,T),ls(e,T,Oe),us(e,T,Oe),e.system.shouldUseNSFWChecker&&cs(e,T,ye),e.system.shouldUseWatermarker&&hs(e,T,ye),T},kwe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=Twe(e):i=Awe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=xwe(e,n):i=bwe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Cwe(e,n,r):i=Swe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Ewe(e,n,r):i=wwe(e,n,r)}return i},Pwe=()=>{Te({predicate:e=>Fm.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=ge("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await DT(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=vwe(h,m);if(o.system.enableImageDebugging){const x=await kR(f),C=await kR(p);gwe([{base64:C,caption:"mask b64"},{base64:x,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,y;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(pe.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(y=await n(pe.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=kwe(o,b,_,y);i.debug({graph:mn(g)},"Canvas graph built"),n(ZB(g));const{requestId:v}=n(xi({graph:g})),[S]=await r(x=>xi.fulfilled.match(x)&&x.meta.requestId===v),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&y&&n(pe.endpoints.changeImageSessionId.initiate({imageDTO:y,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n(ere({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(tre(w)),n(od())}})},Rwe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:y}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=b==="fp32";let v=Fu;const S=m?p:zs.shouldUseCpuNoise,w={id:f3,nodes:{[v]:{type:"main_model_loader",id:v,model:i},[Gt]:{type:"clip_skip",id:Gt,skipped_layers:h},[Ue]:{type:"compel",id:Ue,prompt:n},[He]:{type:"compel",id:He,prompt:r},[Ee]:{type:"noise",id:Ee,use_cpu:S},[Ke]:{type:"l2i",id:Ke,fp32:g},[Oe]:{type:"denoise_latents",id:Oe,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Fn]:{type:"i2l",id:Fn,fp32:g}},edges:[{source:{node_id:v,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:v,field:"clip"},destination:{node_id:Gt,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:Gt,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const x={id:ra,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};w.nodes[ra]=x,w.edges.push({source:{node_id:ra,field:"image"},destination:{node_id:Fn,field:"image"}}),w.edges.push({source:{node_id:ra,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:ra,field:"height"},destination:{node_id:Ee,field:"height"}})}else w.nodes[Fn].image={image_name:l.imageName},w.edges.push({source:{node_id:Fn,field:"width"},destination:{node_id:Ee,field:"width"}}),w.edges.push({source:{node_id:Fn,field:"height"},destination:{node_id:Ee,field:"height"}});return w.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:h,strength:u,init_image:l.imageName},w.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(_||y)&&(ds(e,w,v),v=Br),fs(e,w,v),yh(e,w,Oe,v),Bu(e,w),ls(e,w,Oe),us(e,w,Oe),e.system.shouldUseNSFWChecker&&cs(e,w),e.system.shouldUseWatermarker&&hs(e,w),w},Iwe=e=>{const t=ge("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,shouldFitToWidthHeight:u,width:c,height:d,clipSkip:f,shouldUseCpuNoise:h,shouldUseNoiseSettings:p,vaePrecision:m,seamlessXAxis:b,seamlessYAxis:_}=e.generation,{positiveStylePrompt:y,negativeStylePrompt:g,shouldConcatSDXLStylePrompt:v,shouldUseSDXLRefiner:S,refinerStart:w,sdxlImg2ImgDenoisingStrength:x}=e.sdxl;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const C=m==="fp32";let A=Mi;const T=p?h:zs.shouldUseCpuNoise,{craftedPositiveStylePrompt:k,craftedNegativeStylePrompt:L}=sd(e,v),N={id:R1,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:i},[Ue]:{type:"sdxl_compel_prompt",id:Ue,prompt:n,style:k},[He]:{type:"sdxl_compel_prompt",id:He,prompt:r,style:L},[Ee]:{type:"noise",id:Ee,use_cpu:T},[Ke]:{type:"l2i",id:Ke,fp32:C},[Ce]:{type:"denoise_latents",id:Ce,cfg_scale:o,scheduler:s,steps:a,denoising_start:S?Math.min(w,1-x):1-x,denoising_end:S?w:1},[Fn]:{type:"i2l",id:Fn,fp32:C}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:Ce,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:Ue,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:Ue,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:He,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:He,field:"clip2"}},{source:{node_id:Ue,field:"conditioning"},destination:{node_id:Ce,field:"positive_conditioning"}},{source:{node_id:He,field:"conditioning"},destination:{node_id:Ce,field:"negative_conditioning"}},{source:{node_id:Ee,field:"noise"},destination:{node_id:Ce,field:"noise"}},{source:{node_id:Fn,field:"latents"},destination:{node_id:Ce,field:"latents"}},{source:{node_id:Ce,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(u&&(l.width!==c||l.height!==d)){const E={id:ra,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:c,height:d};N.nodes[ra]=E,N.edges.push({source:{node_id:ra,field:"image"},destination:{node_id:Fn,field:"image"}}),N.edges.push({source:{node_id:ra,field:"width"},destination:{node_id:Ee,field:"width"}}),N.edges.push({source:{node_id:ra,field:"height"},destination:{node_id:Ee,field:"height"}})}else N.nodes[Fn].image={image_name:l.imageName},N.edges.push({source:{node_id:Fn,field:"width"},destination:{node_id:Ee,field:"width"}}),N.edges.push({source:{node_id:Fn,field:"height"},destination:{node_id:Ee,field:"height"}});return N.nodes[Pt]={id:Pt,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:d,width:c,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:T?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:f,strength:x,init_image:l.imageName,positive_style_prompt:y,negative_style_prompt:g},N.edges.push({source:{node_id:Pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(b||_)&&(ds(e,N,A),A=Br),S&&(_h(e,N,Ce),(b||_)&&(A=As)),fs(e,N,A),vh(e,N,Ce,A),ls(e,N,Ce),us(e,N,Ce),Bu(e,N),e.system.shouldUseNSFWChecker&&cs(e,N),e.system.shouldUseWatermarker&&hs(e,N),N},Owe=()=>{Te({predicate:e=>Fm.match(e)&&e.payload==="img2img",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=ge("session"),o=t(),s=o.generation.model;let a;s&&s.base_model==="sdxl"?a=Iwe(o):a=Rwe(o),n(YB(a)),i.debug({graph:mn(a)},"Image to Image graph built"),n(xi({graph:a})),await r(xi.fulfilled.match),n(od())}})},Mwe=/[$_\p{ID_Start}][$\u200c\u200d\p{ID_Continue}]*/u;function Nwe(e){return e.length===1?e[0].toString():e.reduce((t,n)=>{if(typeof n=="number")return t+"["+n.toString()+"]";if(n.includes('"'))return t+'["'+Dwe(n)+'"]';if(!Mwe.test(n))return t+'["'+n+'"]';const 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extends Rr{constructor(t,n){super(),LS(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=iU(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");n.xdomain=!!this.opts.xd;const r=this.xhr=new lU(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=V0.requestsCount++,V0.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=Cxe,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete V0.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()}};bf.requestsCount=0;bf.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",zR);else if(typeof addEventListener=="function"){const e="onpagehide"in Xo?"pagehide":"unload";addEventListener(e,zR,!1)}}function zR(){for(let e in bf.requests)bf.requests.hasOwnProperty(e)&&bf.requests[e].abort()}const HT=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),s0=Xo.WebSocket||Xo.MozWebSocket,UR=!0,Axe="arraybuffer",jR=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class kxe extends GT{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=jR?{}:iU(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=UR&&!jR?n?new s0(t,n):new s0(t):new s0(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType,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{const s={};try{UR&&this.ws.send(o)}catch{}i&&HT(()=>{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]=sU()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!s0}}class Pxe extends GT{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=fxe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=dxe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n{i&&HT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const Rxe={websocket:kxe,webtransport:Pxe,polling:Txe},Ixe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,Oxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function m3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=Ixe.exec(e||""),o={},s=14;for(;s--;)o[Oxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=Mxe(o,o.path),o.queryKey=Nxe(o,o.query),o}function Mxe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function Nxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let uU=class Od extends Rr{constructor(t,n={}){super(),this.binaryType=Axe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=m3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=m3(n.host).host),LS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=bxe(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=rU,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 Rxe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Od.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;Od.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;Od.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",Od.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{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;r0&&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){Od.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(;rtypeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,cU=Object.prototype.toString,Fxe=typeof Blob=="function"||typeof Blob<"u"&&cU.call(Blob)==="[object BlobConstructor]",Bxe=typeof File=="function"||typeof File<"u"&&cU.call(File)==="[object FileConstructor]";function qT(e){return Lxe&&(e instanceof ArrayBuffer||$xe(e))||Fxe&&e instanceof Blob||Bxe&&e instanceof File}function G0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n=0&&e.num{delete this.acks[t];for(let s=0;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:Nt.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 Nt.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 Nt.EVENT:case Nt.BINARY_EVENT:this.onevent(t);break;case Nt.ACK:case Nt.BINARY_ACK:this.onack(t);break;case Nt.DISCONNECT:this.ondisconnect();break;case Nt.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:Nt.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:Nt.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;r0&&e.jitter<=1?e.jitter:0,this.attempts=0}bh.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};bh.prototype.reset=function(){this.attempts=0};bh.prototype.setMin=function(e){this.ms=e};bh.prototype.setMax=function(e){this.max=e};bh.prototype.setJitter=function(e){this.jitter=e};class _3 extends Rr{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,LS(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 bh({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||qxe;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 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i&&(Ml(r.x,i.offset.x),Ml(r.y,i.offset.y)),r}const A4e=new WeakMap;class k4e{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=Ar(),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(WS(l,"page").point)},o=(l,u)=>{const{drag:c,dragPropagation:d,onDragStart:f}=this.getProps();if(c&&!d&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=rj(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),Qs(p=>{let m=this.getAxisMotionValue(p).get()||0;if(ma.test(m)){const{projection:b}=this.visualElement;if(b&&b.layout){const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&kn.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||!f0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=g4e(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&&Kd(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=m4e(r.layoutBox,t):this.constraints=!1,this.elastic=b4e(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Qs(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=_4e(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Kd(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=T4e(r,i.root,this.visualElement.getTransformPagePoint());let s=y4e(i.layout.layoutBox,o);if(n){const a=n(S4e(s));this.hasMutatedConstraints=!!a,a&&(s=Uj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Qs(c=>{if(!f0(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(w4(t,r,0,n))}stopAnimation(){Qs(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){Qs(n=>{const{drag:r}=this.getProps();if(!f0(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]-rr(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Kd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Qs(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=v4e({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(),Qs(s=>{if(!f0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(rr(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;A4e.set(this.visualElement,this);const t=this.visualElement.current,n=Ja(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Kd(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=Ka(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Qs(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=$3,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function f0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function P4e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class R4e extends Uu{constructor(t){super(t),this.removeGroupControls=dr,this.removeListeners=dr,this.controls=new k4e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||dr}unmount(){this.removeGroupControls(),this.removeListeners()}}const jI=e=>(t,n)=>{e&&kn.update(()=>e(t,n))};class I4e extends Uu{constructor(){super(...arguments),this.removePointerDownListener=dr}onPointerDown(t){this.session=new Bj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:jI(t),onStart:jI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&kn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Ja(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function O4e(){const e=M.useContext(Hm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=M.useId();return M.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function YMe(){return M4e(M.useContext(Hm))}function M4e(e){return e===null?!0:e.isPresent}const Z0={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function VI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Yh={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(rt.test(e))e=parseFloat(e);else return e;const n=VI(e,t.target.x),r=VI(e,t.target.y);return`${n}% ${r}%`}},N4e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Cu.parse(e);if(i.length>5)return r;const o=Cu.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=rr(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 D4e extends vn.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;UEe(L4e),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()})),Z0.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()||kn.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 Hj(e){const[t,n]=O4e(),r=M.useContext(l4);return vn.createElement(D4e,{...e,layoutGroup:r,switchLayoutGroup:M.useContext(zU),isPresent:t,safeToRemove:n})}const L4e={borderRadius:{...Yh,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Yh,borderTopRightRadius:Yh,borderBottomLeftRadius:Yh,borderBottomRightRadius:Yh,boxShadow:N4e},qj=["TopLeft","TopRight","BottomLeft","BottomRight"],$4e=qj.length,GI=e=>typeof e=="string"?parseFloat(e):e,HI=e=>typeof e=="number"||rt.test(e);function F4e(e,t,n,r,i,o){i?(e.opacity=rr(0,n.opacity!==void 0?n.opacity:1,B4e(r)),e.opacityExit=rr(t.opacity!==void 0?t.opacity:1,0,z4e(r))):o&&(e.opacity=rr(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<$4e;s++){const a=`border${qj[s]}Radius`;let l=qI(t,a),u=qI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||HI(l)===HI(u)?(e[a]=Math.max(rr(GI(l),GI(u),r),0),(ma.test(u)||ma.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=rr(t.rotate||0,n.rotate||0,r))}function qI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const B4e=Wj(0,.5,v4),z4e=Wj(.5,.95,dr);function Wj(e,t,n){return r=>rt?1:n(Zg(e,t,r))}function WI(e,t){e.min=t.min,e.max=t.max}function Go(e,t){WI(e.x,t.x),WI(e.y,t.y)}function KI(e,t,n,r,i){return e-=t,e=j1(e,1/n,r),i!==void 0&&(e=j1(e,1/i,r)),e}function U4e(e,t=0,n=1,r=.5,i,o=e,s=e){if(ma.test(t)&&(t=parseFloat(t),t=rr(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=rr(o.min,o.max,r);e===o&&(a-=t),e.min=KI(e.min,t,n,a,i),e.max=KI(e.max,t,n,a,i)}function XI(e,t,[n,r,i],o,s){U4e(e,t[n],t[r],t[i],t.scale,o,s)}const j4e=["x","scaleX","originX"],V4e=["y","scaleY","originY"];function QI(e,t,n,r){XI(e.x,t,j4e,n?n.x:void 0,r?r.x:void 0),XI(e.y,t,V4e,n?n.y:void 0,r?r.y:void 0)}function YI(e){return e.translate===0&&e.scale===1}function Kj(e){return YI(e.x)&&YI(e.y)}function G4e(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 Xj(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function ZI(e){return Lo(e.x)/Lo(e.y)}class H4e{constructor(){this.members=[]}add(t){x4(this.members,t),t.scheduleRender()}remove(t){if(C4(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 JI(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 q4e=(e,t)=>e.depth-t.depth;class W4e{constructor(){this.children=[],this.isDirty=!1}add(t){x4(this.children,t),this.isDirty=!0}remove(t){C4(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(q4e),this.isDirty=!1,this.children.forEach(t)}}function K4e(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(cl(r),e(o-t))};return kn.read(r,!0),()=>cl(r)}function X4e(e){window.MotionDebug&&window.MotionDebug.record(e)}function Q4e(e){return e instanceof SVGElement&&e.tagName!=="svg"}function Y4e(e,t,n){const r=_o(e)?e:Zf(e);return r.start(w4("",r,t,n)),r.animation}const eO=["","X","Y","Z"],tO=1e3;let Z4e=0;const nc={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Qj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=Z4e++,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=()=>{nc.totalNodes=nc.resolvedTargetDeltas=nc.recalculatedProjection=0,this.nodes.forEach(tAe),this.nodes.forEach(sAe),this.nodes.forEach(aAe),this.nodes.forEach(nAe),X4e(nc)},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;lthis.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=K4e(f,250),Z0.hasAnimatedSinceResize&&(Z0.hasAnimatedSinceResize=!1,this.nodes.forEach(rO))})}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()||fAe,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),y=!this.targetLayout||!Xj(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 v={...Nj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||rO(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,cl(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(lAe),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;cthis.update()))}clearAllSnapshots(){this.nodes.forEach(rAe),this.sharedNodes.forEach(uAe)}scheduleUpdateProjection(){kn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){kn.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{const S=v/1e3;iO(d.x,s.x,S),iO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Rp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),cAe(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&G4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Ar()),Go(g,this.relativeTarget)),m&&(this.animationValues=c,F4e(c,u,this.latestValues,S,y,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},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&&(cl(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=kn.update(()=>{Z0.hasAnimatedSinceResize=!0,this.currentAnimation=Y4e(0,tO,{...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(tO),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&&Yj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Ar();const d=Lo(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Lo(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Go(a,l),Yd(a,c),Pp(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new H4e),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{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(nO),this.root.sharedNodes.clear()}}}function J4e(e){e.updateLayout()}function eAe(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"?Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(f);f.min=r[d].min,f.max=f.min+h}):Yj(o,n.layoutBox,r)&&Qs(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Lo(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=Qd();Pp(a,r,n.layoutBox);const l=Qd();s?Pp(l,e.applyTransform(i,!0),n.measuredBox):Pp(l,r,n.layoutBox);const u=!Kj(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=Ar();Rp(p,n.layoutBox,f.layoutBox);const m=Ar();Rp(m,r,h.layoutBox),Xj(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 tAe(e){nc.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 nAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function rAe(e){e.clearSnapshot()}function nO(e){e.clearMeasurements()}function iAe(e){e.isLayoutDirty=!1}function oAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function rO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function sAe(e){e.resolveTargetDelta()}function aAe(e){e.calcProjection()}function lAe(e){e.resetRotation()}function uAe(e){e.removeLeadSnapshot()}function iO(e,t,n){e.translate=rr(t.translate,0,n),e.scale=rr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function oO(e,t,n,r){e.min=rr(t.min,n.min,r),e.max=rr(t.max,n.max,r)}function cAe(e,t,n,r){oO(e.x,t.x,n.x,r),oO(e.y,t.y,n.y,r)}function dAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const fAe={duration:.45,ease:[.4,0,.1,1]},sO=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),aO=sO("applewebkit/")&&!sO("chrome/")?Math.round:dr;function lO(e){e.min=aO(e.min),e.max=aO(e.max)}function hAe(e){lO(e.x),lO(e.y)}function Yj(e,t,n){return e==="position"||e==="preserve-aspect"&&!L3(ZI(t),ZI(n),.2)}const pAe=Qj({attachResizeListener:(e,t)=>Ka(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Yw={current:void 0},Zj=Qj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Yw.current){const e=new pAe({});e.mount(window),e.setOptions({layoutScroll:!0}),Yw.current=e}return Yw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),gAe={pan:{Feature:I4e},drag:{Feature:R4e,ProjectionNode:Zj,MeasureLayout:Hj}},mAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function yAe(e){const t=mAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function z3(e,t,n=1){const[r,i]=yAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return Dj(s)?parseFloat(s):s}else return P3(i)?z3(i,t,n+1):i}function vAe(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(!P3(o))return;const s=z3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!P3(o))continue;const s=z3(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const _Ae=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Jj=e=>_Ae.has(e),bAe=e=>Object.keys(e).some(Jj),uO=e=>e===ld||e===rt,cO=(e,t)=>parseFloat(e.split(", ")[t]),dO=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return cO(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?cO(o[1],e):0}},SAe=new Set(["x","y","z"]),wAe=qm.filter(e=>!SAe.has(e));function xAe(e){const t=[];return wAe.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 Jf={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:dO(4,13),y:dO(5,14)};Jf.translateX=Jf.x;Jf.translateY=Jf.y;const CAe=(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]=Jf[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]=Jf[u](l,o)}),e},EAe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Jj);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=Qh(c);const f=t[l];let h;if($1(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=Qh(c);for(let b=m;b=0?window.pageYOffset:null,u=CAe(t,e,a);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),VS&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function TAe(e,t,n,r){return bAe(t)?EAe(e,t,n,r):{target:t,transitionEnd:r}}const AAe=(e,t,n,r)=>{const i=vAe(e,t,r);return t=i.target,r=i.transitionEnd,TAe(e,t,n,r)},U3={current:null},eV={current:!1};function kAe(){if(eV.current=!0,!!VS)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U3.current=e.matches;e.addListener(t),t()}else U3.current=!1}function PAe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(_o(o))e.addValue(i,o),U1(r)&&r.add(i);else if(_o(s))e.addValue(i,Zf(o,{owner:e})),U1(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,Zf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const fO=new WeakMap,tV=Object.keys(Yg),RAe=tV.length,hO=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],IAe=a4.length;class OAe{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=()=>kn.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=HS(n),this.isVariantNode=BU(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 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0&&(i=rPe);const{isTop:u,isBottom:c,isLeft:d,isRight:f}=wV(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=ti.Backward,p.y=r*Math.abs((t.top+m.height-o)/m.height)):!c&&l>=t.bottom-m.height&&(h.y=ti.Forward,p.y=r*Math.abs((t.bottom-m.height-l)/m.height)),!f&&a>=t.right-m.width?(h.x=ti.Forward,p.x=r*Math.abs((t.right-m.width-a)/m.width)):!d&&s<=t.left+m.width&&(h.x=ti.Backward,p.x=r*Math.abs((t.left+m.width-s)/m.width)),{direction:h,speed:p}}function oPe(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 xV(e){return e.reduce((t,n)=>wf(t,X3(n)),Fs)}function sPe(e){return e.reduce((t,n)=>t+_V(n),0)}function aPe(e){return e.reduce((t,n)=>t+bV(n),0)}function CV(e,t){if(t===void 0&&(t=Zm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);vV(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const lPe=[["x",["left","right"],sPe],["y",["top","bottom"],aPe]];class O4{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=I4(n),i=xV(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of lPe)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 Ip{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 uPe(e){const{EventTarget:t}=eo(e);return e instanceof t?e:xh(e)}function tx(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 qo;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(qo||(qo={}));function wO(e){e.preventDefault()}function cPe(e){e.stopPropagation()}var En;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(En||(En={}));const EV={start:[En.Space,En.Enter],cancel:[En.Esc],end:[En.Space,En.Enter]},dPe=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case En.Right:return{...n,x:n.x+25};case En.Left:return{...n,x:n.x-25};case En.Down:return{...n,y:n.y+25};case En.Up:return{...n,y:n.y-25}}};class TV{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 Ip(xh(n)),this.windowListeners=new Ip(eo(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(qo.Resize,this.handleCancel),this.windowListeners.add(qo.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(qo.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&CV(r),n(Fs)}handleKeyDown(t){if(R4(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=EV,coordinateGetter:s=dPe,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}:Fs;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=K1(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const b=t.code,{isTop:_,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=wV(m),x=oPe(m),C={x:Math.min(b===En.Right?x.right-x.width/2:x.right,Math.max(b===En.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(b===En.Down?x.bottom-x.height/2:x.bottom,Math.max(b===En.Down?x.top:x.top+x.height/2,d.y))},A=b===En.Right&&!y||b===En.Left&&!g,T=b===En.Down&&!v||b===En.Up&&!_;if(A&&C.x!==d.x){const k=m.scrollLeft+f.x,L=b===En.Right&&k<=S.x||b===En.Left&&k>=w.x;if(L&&!f.y){m.scrollTo({left:k,behavior:a});return}L?h.x=m.scrollLeft-k:h.x=b===En.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&C.y!==d.y){const k=m.scrollTop+f.y,L=b===En.Down&&k<=S.y||b===En.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===En.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,wf(K1(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()}}TV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=EV,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 xO(e){return!!(e&&"distance"in e)}function CO(e){return!!(e&&"delay"in e)}class M4{constructor(t,n,r){var i;r===void 0&&(r=uPe(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=xh(s),this.documentListeners=new Ip(this.document),this.listeners=new Ip(r),this.windowListeners=new Ip(eo(s)),this.initialCoordinates=(i=nm(o))!=null?i:Fs,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(qo.Resize,this.handleCancel),this.windowListeners.add(qo.DragStart,wO),this.windowListeners.add(qo.VisibilityChange,this.handleCancel),this.windowListeners.add(qo.ContextMenu,wO),this.documentListeners.add(qo.Keydown,this.handleKeydown),n){if(xO(n))return;if(CO(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(qo.Click,cPe,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(qo.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=nm(t))!=null?n:Fs,u=K1(i,l);if(!r&&a){if(CO(a))return tx(u,a.tolerance)?this.handleCancel():void 0;if(xO(a))return a.tolerance!=null&&tx(u,a.tolerance)?this.handleCancel():tx(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===En.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const fPe={move:{name:"pointermove"},end:{name:"pointerup"}};class AV extends M4{constructor(t){const{event:n}=t,r=xh(n.target);super(t,fPe,r)}}AV.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 hPe={move:{name:"mousemove"},end:{name:"mouseup"}};var Q3;(function(e){e[e.RightClick=2]="RightClick"})(Q3||(Q3={}));class kV extends M4{constructor(t){super(t,hPe,xh(t.event.target))}}kV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===Q3.RightClick?!1:(r==null||r({event:n}),!0)}}];const nx={move:{name:"touchmove"},end:{name:"touchend"}};class PV extends M4{constructor(t){super(t,nx)}static setup(){return window.addEventListener(nx.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(nx.move.name,t)};function t(){}}}PV.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 Op;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Op||(Op={}));var Q1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Q1||(Q1={}));function pPe(e){let{acceleration:t,activator:n=Op.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Q1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=mPe({delta:d,disabled:!o}),[p,m]=Cke(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),y=M.useMemo(()=>{switch(n){case Op.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Op.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),v=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,C=b.current.y*_.current.y;w.scrollBy(x,C)},[]),S=M.useMemo(()=>a===Q1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:A,speed:T}=iPe(w,C,y,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,v,r,m,o,s,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const gPe={x:{[ti.Backward]:!1,[ti.Forward]:!1},y:{[ti.Backward]:!1,[ti.Forward]:!1}};function mPe(e){let{delta:t,disabled:n}=e;const r=W1(t);return Ym(i=>{if(n||!r||!i)return gPe;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ti.Backward]:i.x[ti.Backward]||o.x===-1,[ti.Forward]:i.x[ti.Forward]||o.x===1},y:{[ti.Backward]:i.y[ti.Backward]||o.y===-1,[ti.Forward]:i.y[ti.Forward]||o.y===1}}},[n,t,r])}function yPe(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Ym(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function vPe(e,t){return M.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 im;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(im||(im={}));var Y3;(function(e){e.Optimized="optimized"})(Y3||(Y3={}));const EO=new Map;function _Pe(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=tm(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(y=>y===null?_:y.concat(_.filter(g=>!y.includes(g))))},[f]),p=M.useRef(null),m=Ym(_=>{if(d&&!n)return EO;if(!_||_===EO||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 v=g.node.current,S=v?new O4(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case im.Always:return!1;case im.BeforeDragging:return n;default:return!n}}}function N4(e,t){return Ym(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function bPe(e,t){return N4(e,t)}function SPe(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function ZS(e){let{callback:t,disabled:n}=e;const r=QS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function wPe(e){return new O4(Zm(e),e)}function TO(e,t,n){t===void 0&&(t=wPe);const[r,i]=M.useReducer(a,null),o=SPe({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=ZS({callback:i});return Sa(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function xPe(e){const t=N4(e);return mV(e,t)}const AO=[];function CPe(e){const t=M.useRef(e),n=Ym(r=>e?r&&r!==AO&&e&&t.current&&e.parentNode===t.current.parentNode?r:I4(e):AO,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function EPe(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=ex(o.target);s&&n(a=>a?(a.set(s,X3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=ex(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,X3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=ex(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>wf(o,s),Fs):xV(e):Fs,[e,t])}function kO(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Fs;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?K1(e,n.current):Fs}function TPe(e){M.useEffect(()=>{if(!XS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function APe(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function RV(e){return M.useMemo(()=>e?ePe(e):null,[e])}const rx=[];function kPe(e,t){t===void 0&&(t=Zm);const[n]=e,r=RV(n?eo(n):null),[i,o]=M.useReducer(a,rx),s=ZS({callback:o});return e.length>0&&i===rx&&o(),Sa(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>SV(l)?r:new O4(t(l),l)):rx}}function IV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Qm(t)?t:e}function PPe(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Qm(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=ZS({callback:i}),s=M.useCallback(u=>{const c=IV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=q1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const RPe=[{sensor:AV,options:{}},{sensor:TV,options:{}}],IPe={current:{}},J0={draggable:{measure:SO},droppable:{measure:SO,strategy:im.WhileDragging,frequency:Y3.Optimized},dragOverlay:{measure:Zm}};class Mp extends 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Ta=M.useMemo(()=>({active:N,activeNode:Q,activeNodeRect:oe,activatorEvent:B,collisions:Hr,containerNodeRect:me,dragOverlay:nt,draggableNodes:C,droppableContainers:T,droppableRects:V,over:dn,measureDroppableContainers:H,scrollableAncestors:Pn,scrollableAncestorRects:bn,measuringConfiguration:U,measuringScheduled:Y,windowRect:Sr}),[N,Q,oe,B,Hr,me,nt,C,T,V,dn,H,Pn,bn,U,Y,Sr]),bo=M.useMemo(()=>({activatorEvent:B,activators:no,active:N,activeNodeRect:oe,ariaDescribedById:{draggable:O},dispatch:_,draggableNodes:C,over:dn,measureDroppableContainers:H}),[B,no,N,oe,_,O,C,dn,H]);return vn.createElement(gV.Provider,{value:g},vn.createElement(Jm.Provider,{value:bo},vn.createElement(MV.Provider,{value:Ta},vn.createElement(JS.Provider,{value:ji},u)),vn.createElement(DPe,{disabled:(a==null?void 0:a.restoreFocus)===!1})),vn.createElement($ke,{...a,hiddenTextDescribedById:O}));function Aa(){const On=(P==null?void 0:P.autoScrollEnabled)===!1,Kt=typeof 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M.useContext(MV)}const jPe="Droppable",VPe={timeout:25};function nNe(e){let{data:t,disabled:n=!1,id:r,resizeObserverConfig:i}=e;const o=YS(jPe),{active:s,dispatch:a,over:l,measureDroppableContainers:u}=M.useContext(Jm),c=M.useRef({disabled:n}),d=M.useRef(!1),f=M.useRef(null),h=M.useRef(null),{disabled:p,updateMeasurementsFor:m,timeout:b}={...VPe,...i},_=tm(m??r),y=M.useCallback(()=>{if(!d.current){d.current=!0;return}h.current!=null&&clearTimeout(h.current),h.current=setTimeout(()=>{u(Array.isArray(_.current)?_.current:[_.current]),h.current=null},b)},[b]),g=ZS({callback:y,disabled:p||!s}),v=M.useCallback((C,A)=>{g&&(A&&(g.unobserve(A),d.current=!1),C&&g.observe(C))},[g]),[S,w]=q1(v),x=tm(t);return 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WPe={position:"fixed",touchAction:"none"},KPe=e=>R4(e)?"transform 250ms ease":void 0,XPe=M.forwardRef((e,t)=>{let{as:n,activatorEvent:r,adjustScale:i,children:o,className:s,rect:a,style:l,transform:u,transition:c=KPe}=e;if(!a)return null;const d=i?u:{...u,scaleX:1,scaleY:1},f={...WPe,width:a.width,height:a.height,top:a.top,left:a.left,transform:rm.Transform.toString(d),transformOrigin:i&&r?zke(r,a):void 0,transition:typeof c=="function"?c(r):c,...l};return vn.createElement(n,{className:s,style:f,ref:t},o)}),QPe=e=>t=>{let{active:n,dragOverlay:r}=t;const i={},{styles:o,className:s}=e;if(o!=null&&o.active)for(const[a,l]of Object.entries(o.active))l!==void 0&&(i[a]=n.node.style.getPropertyValue(a),n.node.style.setProperty(a,l));if(o!=null&&o.dragOverlay)for(const[a,l]of Object.entries(o.dragOverlay))l!==void 0&&r.node.style.setProperty(a,l);return s!=null&&s.active&&n.node.classList.add(s.active),s!=null&&s.dragOverlay&&r.node.classList.add(s.dragOverlay),function(){for(const[l,u]of 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Expected ${Ut.joinValues(e.options)}, received '${e.received}'`;break;case ce.invalid_arguments:n="Invalid function arguments";break;case ce.invalid_return_type:n="Invalid function return type";break;case ce.invalid_date:n="Invalid date";break;case ce.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}"`:Ut.assertNever(e.validation):e.validation!=="regex"?n=`Invalid ${e.validation}`:n="Invalid";break;case ce.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 ce.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 ce.custom:n="Invalid input";break;case ce.invalid_intersection_types:n="Intersection results could not be merged";break;case ce.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case ce.not_finite:n="Number must be finite";break;default:n=t.defaultError,Ut.assertNever(e)}return{message:n}};let X7=rg;function ete(e){X7=e}function Iv(){return X7}const Mv=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}},tte=[];function Pe(e,t){const n=Mv({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Iv(),rg].filter(r=>!!r)});e.common.issues.push(n)}class Fi{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 ct;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 Fi.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 ct;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const ct=Object.freeze({status:"aborted"}),Q7=e=>({status:"dirty",value:e}),Xi=e=>({status:"valid",value:e}),uC=e=>e.status==="aborted",cC=e=>e.status==="dirty",ig=e=>e.status==="valid",Nv=e=>typeof Promise<"u"&&e instanceof Promise;var Ze;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Ze||(Ze={}));class pa{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 Uk=(e,t)=>{if(ig(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 Rs(e.common.issues);return this._error=n,this._error}}};function gt(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 bt{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.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Nl(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Fi,ctx:{common:t.parent.common,data:t.data,parsedType:Nl(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Nv(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:Nl(t)},o=this._parseSync({data:t,path:i.path,parent:i});return Uk(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:Nl(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Nv(i)?i:Promise.resolve(i));return Uk(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:ce.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 Ds({schema:this,typeName:nt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Ka.create(this,this._def)}nullable(){return Ec.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Os.create(this,this._def)}promise(){return Rf.create(this,this._def)}or(t){return lg.create([this,t],this._def)}and(t){return ug.create(this,t,this._def)}transform(t){return new Ds({...gt(this._def),schema:this,typeName:nt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new pg({...gt(this._def),innerType:this,defaultValue:n,typeName:nt.ZodDefault})}brand(){return new Z7({typeName:nt.ZodBranded,type:this,...gt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Fv({...gt(this._def),innerType:this,catchValue:n,typeName:nt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return bm.create(this,t)}readonly(){return zv.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const nte=/^c[^\s-]{8,}$/i,rte=/^[a-z][a-z0-9]*$/,ite=/[0-9A-HJKMNP-TV-Z]{26}/,ote=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,ste=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,ate=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,lte=/^(((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}))$/,ute=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,cte=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 dte(e,t){return!!((t==="v4"||!t)&<e.test(e)||(t==="v6"||!t)&&ute.test(e))}class Ts extends bt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ce.invalid_string,...Ze.errToObj(r)}),this.nonempty=t=>this.min(1,Ze.errToObj(t)),this.trim=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ts({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==ke.string){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.string,received:o.parsedType}),ct}const r=new Fi;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.lengtho.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.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"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Ze.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{var t;return new Ts({checks:[],typeName:nt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};function fte(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 du extends bt{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)!==ke.number){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.number,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="int"?Ut.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?fte(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.not_finite,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new du({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new du({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ze.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.valuet.kind==="int"||t.kind==="multipleOf"&&Ut.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.valuenew du({checks:[],typeName:nt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class fu extends bt{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)!==ke.bigint){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.bigint,received:o.parsedType}),ct}let r;const i=new Fi;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.datao.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Pe(r,{code:ce.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),Pe(r,{code:ce.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ut.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Ze.toString(n))}setLimit(t,n,r,i){return new fu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Ze.toString(i)}]})}_addCheck(t){return new fu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Ze.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{var t;return new fu({checks:[],typeName:nt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...gt(e)})};class og extends bt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==ke.boolean){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.boolean,received:r.parsedType}),ct}return Xi(t.data)}}og.create=e=>new og({typeName:nt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...gt(e)});class xc extends bt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==ke.date){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_type,expected:ke.date,received:o.parsedType}),ct}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Pe(o,{code:ce.invalid_date}),ct}const r=new Fi;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()o.value&&(i=this._getOrReturnCtx(t,i),Pe(i,{code:ce.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ut.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new xc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Ze.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.valuenew xc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:nt.ZodDate,...gt(e)});class Dv extends bt{_parse(t){if(this._getType(t)!==ke.symbol){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.symbol,received:r.parsedType}),ct}return Xi(t.data)}}Dv.create=e=>new Dv({typeName:nt.ZodSymbol,...gt(e)});class sg extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.undefined,received:r.parsedType}),ct}return Xi(t.data)}}sg.create=e=>new sg({typeName:nt.ZodUndefined,...gt(e)});class ag extends bt{_parse(t){if(this._getType(t)!==ke.null){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.null,received:r.parsedType}),ct}return Xi(t.data)}}ag.create=e=>new ag({typeName:nt.ZodNull,...gt(e)});class Pf extends bt{constructor(){super(...arguments),this._any=!0}_parse(t){return Xi(t.data)}}Pf.create=e=>new Pf({typeName:nt.ZodAny,...gt(e)});class hc extends bt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return Xi(t.data)}}hc.create=e=>new hc({typeName:nt.ZodUnknown,...gt(e)});class ol extends bt{_parse(t){const n=this._getOrReturnCtx(t);return Pe(n,{code:ce.invalid_type,expected:ke.never,received:n.parsedType}),ct}}ol.create=e=>new ol({typeName:nt.ZodNever,...gt(e)});class Lv extends bt{_parse(t){if(this._getType(t)!==ke.undefined){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.void,received:r.parsedType}),ct}return Xi(t.data)}}Lv.create=e=>new Lv({typeName:nt.ZodVoid,...gt(e)});class Os extends bt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==ke.array)return Pe(n,{code:ce.invalid_type,expected:ke.array,received:n.parsedType}),ct;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.lengthi.maxLength.value&&(Pe(n,{code:ce.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 pa(n,s,n.path,a)))).then(s=>Fi.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new pa(n,s,n.path,a)));return Fi.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Os({...this._def,minLength:{value:t,message:Ze.toString(n)}})}max(t,n){return new Os({...this._def,maxLength:{value:t,message:Ze.toString(n)}})}length(t,n){return new Os({...this._def,exactLength:{value:t,message:Ze.toString(n)}})}nonempty(t){return this.min(1,t)}}Os.create=(e,t)=>new Os({type:e,minLength:null,maxLength:null,exactLength:null,typeName:nt.ZodArray,...gt(t)});function wd(e){if(e instanceof Zn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ka.create(wd(r))}return new Zn({...e._def,shape:()=>t})}else return e instanceof Os?new Os({...e._def,type:wd(e.element)}):e instanceof Ka?Ka.create(wd(e.unwrap())):e instanceof Ec?Ec.create(wd(e.unwrap())):e instanceof ga?ga.create(e.items.map(t=>wd(t))):e}class Zn extends bt{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=Ut.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==ke.object){const u=this._getOrReturnCtx(t);return Pe(u,{code:ce.invalid_type,expected:ke.object,received:u.parsedType}),ct}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof ol&&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 pa(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof ol){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&&(Pe(i,{code:ce.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 pa(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=>Fi.mergeObjectSync(r,u)):Fi.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Ze.errToObj,new Zn({...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=Ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Zn({...this._def,unknownKeys:"strip"})}passthrough(){return new Zn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Zn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Zn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:nt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Zn({...this._def,catchall:t})}pick(t){const n={};return Ut.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}omit(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Zn({...this._def,shape:()=>n})}deepPartial(){return wd(this)}partial(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Zn({...this._def,shape:()=>n})}required(t){const n={};return Ut.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ka;)o=o._def.innerType;n[r]=o}}),new Zn({...this._def,shape:()=>n})}keyof(){return Y7(Ut.objectKeys(this.shape))}}Zn.create=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.strictCreate=(e,t)=>new Zn({shape:()=>e,unknownKeys:"strict",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});Zn.lazycreate=(e,t)=>new Zn({shape:e,unknownKeys:"strip",catchall:ol.create(),typeName:nt.ZodObject,...gt(t)});class lg extends bt{_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 Rs(a.ctx.common.issues));return Pe(n,{code:ce.invalid_union,unionErrors:s}),ct}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 Rs(l));return Pe(n,{code:ce.invalid_union,unionErrors:a}),ct}}get options(){return this._def.options}}lg.create=(e,t)=>new lg({options:e,typeName:nt.ZodUnion,...gt(t)});const k0=e=>e instanceof dg?k0(e.schema):e instanceof Ds?k0(e.innerType()):e instanceof fg?[e.value]:e instanceof hu?e.options:e instanceof hg?Object.keys(e.enum):e instanceof pg?k0(e._def.innerType):e instanceof sg?[void 0]:e instanceof ag?[null]:null;class P_ extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.object)return Pe(n,{code:ce.invalid_type,expected:ke.object,received:n.parsedType}),ct;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}):(Pe(n,{code:ce.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),ct)}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=k0(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 P_({typeName:nt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...gt(r)})}}function dC(e,t){const n=Nl(e),r=Nl(t);if(e===t)return{valid:!0,data:e};if(n===ke.object&&r===ke.object){const i=Ut.objectKeys(t),o=Ut.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=dC(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===ke.array&&r===ke.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o{if(uC(o)||uC(s))return ct;const a=dC(o.value,s.value);return a.valid?((cC(o)||cC(s))&&n.dirty(),{status:n.value,value:a.data}):(Pe(r,{code:ce.invalid_intersection_types}),ct)};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}))}}ug.create=(e,t,n)=>new ug({left:e,right:t,typeName:nt.ZodIntersection,...gt(n)});class ga extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.array)return Pe(r,{code:ce.invalid_type,expected:ke.array,received:r.parsedType}),ct;if(r.data.lengththis._def.items.length&&(Pe(r,{code:ce.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 pa(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Fi.mergeArray(n,s)):Fi.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new ga({...this._def,rest:t})}}ga.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new ga({items:e,typeName:nt.ZodTuple,rest:null,...gt(t)})};class cg extends bt{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!==ke.object)return Pe(r,{code:ce.invalid_type,expected:ke.object,received:r.parsedType}),ct;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new pa(r,a,r.path,a)),value:s._parse(new pa(r,r.data[a],r.path,a))});return r.common.async?Fi.mergeObjectAsync(n,i):Fi.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof bt?new cg({keyType:t,valueType:n,typeName:nt.ZodRecord,...gt(r)}):new cg({keyType:Ts.create(),valueType:t,typeName:nt.ZodRecord,...gt(n)})}}class $v extends bt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.map)return Pe(r,{code:ce.invalid_type,expected:ke.map,received:r.parsedType}),ct;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new pa(r,a,r.path,[u,"key"])),value:o._parse(new pa(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return ct;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}$v.create=(e,t,n)=>new $v({valueType:t,keyType:e,typeName:nt.ZodMap,...gt(n)});class Cc extends bt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==ke.set)return Pe(r,{code:ce.invalid_type,expected:ke.set,received:r.parsedType}),ct;const i=this._def;i.minSize!==null&&r.data.sizei.maxSize.value&&(Pe(r,{code:ce.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 ct;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 pa(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new Cc({...this._def,minSize:{value:t,message:Ze.toString(n)}})}max(t,n){return new Cc({...this._def,maxSize:{value:t,message:Ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Cc.create=(e,t)=>new Cc({valueType:e,minSize:null,maxSize:null,typeName:nt.ZodSet,...gt(t)});class of extends bt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.function)return Pe(n,{code:ce.invalid_type,expected:ke.function,received:n.parsedType}),ct;function r(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),rg].filter(u=>!!u),issueData:{code:ce.invalid_arguments,argumentsError:l}})}function i(a,l){return Mv({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Iv(),rg].filter(u=>!!u),issueData:{code:ce.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;if(this._def.returns instanceof Rf){const a=this;return Xi(async function(...l){const u=new Rs([]),c=await a._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(s,this,c);return await a._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const a=this;return Xi(function(...l){const u=a._def.args.safeParse(l,o);if(!u.success)throw new Rs([r(l,u.error)]);const c=Reflect.apply(s,this,u.data),d=a._def.returns.safeParse(c,o);if(!d.success)throw new Rs([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new of({...this._def,args:ga.create(t).rest(hc.create())})}returns(t){return new of({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new of({args:t||ga.create([]).rest(hc.create()),returns:n||hc.create(),typeName:nt.ZodFunction,...gt(r)})}}class dg extends bt{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})}}dg.create=(e,t)=>new dg({getter:e,typeName:nt.ZodLazy,...gt(t)});class fg extends bt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Pe(n,{received:n.data,code:ce.invalid_literal,expected:this._def.value}),ct}return{status:"valid",value:t.data}}get value(){return this._def.value}}fg.create=(e,t)=>new fg({value:e,typeName:nt.ZodLiteral,...gt(t)});function Y7(e,t){return new hu({values:e,typeName:nt.ZodEnum,...gt(t)})}class hu extends bt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{expected:Ut.joinValues(r),received:n.parsedType,code:ce.invalid_type}),ct}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Pe(n,{received:n.data,code:ce.invalid_enum_value,options:r}),ct}return Xi(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 hu.create(t)}exclude(t){return hu.create(this.options.filter(n=>!t.includes(n)))}}hu.create=Y7;class hg extends bt{_parse(t){const n=Ut.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==ke.string&&r.parsedType!==ke.number){const i=Ut.objectValues(n);return Pe(r,{expected:Ut.joinValues(i),received:r.parsedType,code:ce.invalid_type}),ct}if(n.indexOf(t.data)===-1){const i=Ut.objectValues(n);return Pe(r,{received:r.data,code:ce.invalid_enum_value,options:i}),ct}return Xi(t.data)}get enum(){return this._def.values}}hg.create=(e,t)=>new hg({values:e,typeName:nt.ZodNativeEnum,...gt(t)});class Rf extends bt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==ke.promise&&n.common.async===!1)return Pe(n,{code:ce.invalid_type,expected:ke.promise,received:n.parsedType}),ct;const r=n.parsedType===ke.promise?n.data:Promise.resolve(n.data);return Xi(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Rf.create=(e,t)=>new Rf({type:e,typeName:nt.ZodPromise,...gt(t)});class Ds extends bt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===nt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:s=>{Pe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const s=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}: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})}if(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"?ct:(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"?ct:(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(!ig(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=>ig(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ut.assertNever(i)}}Ds.create=(e,t,n)=>new Ds({schema:e,typeName:nt.ZodEffects,effect:t,...gt(n)});Ds.createWithPreprocess=(e,t,n)=>new Ds({schema:t,effect:{type:"preprocess",transform:e},typeName:nt.ZodEffects,...gt(n)});class Ka extends bt{_parse(t){return this._getType(t)===ke.undefined?Xi(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:nt.ZodOptional,...gt(t)});class Ec extends bt{_parse(t){return this._getType(t)===ke.null?Xi(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ec.create=(e,t)=>new Ec({innerType:e,typeName:nt.ZodNullable,...gt(t)});class pg extends bt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===ke.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}pg.create=(e,t)=>new pg({innerType:e,typeName:nt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...gt(t)});class Fv extends bt{_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 Nv(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Rs(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Fv.create=(e,t)=>new Fv({innerType:e,typeName:nt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...gt(t)});class Bv extends bt{_parse(t){if(this._getType(t)!==ke.nan){const r=this._getOrReturnCtx(t);return Pe(r,{code:ce.invalid_type,expected:ke.nan,received:r.parsedType}),ct}return{status:"valid",value:t.data}}}Bv.create=e=>new Bv({typeName:nt.ZodNaN,...gt(e)});const hte=Symbol("zod_brand");class Z7 extends bt{_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 bm extends bt{_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"?ct:o.status==="dirty"?(n.dirty(),Q7(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"?ct: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 bm({in:t,out:n,typeName:nt.ZodPipeline})}}class zv extends bt{_parse(t){const n=this._def.innerType._parse(t);return ig(n)&&(n.value=Object.freeze(n.value)),n}}zv.create=(e,t)=>new zv({innerType:e,typeName:nt.ZodReadonly,...gt(t)});const J7=(e,t={},n)=>e?Pf.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})}}):Pf.create(),pte={object:Zn.lazycreate};var nt;(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",e.ZodReadonly="ZodReadonly"})(nt||(nt={}));const gte=(e,t={message:`Input not instance of ${e.name}`})=>J7(n=>n instanceof e,t),eD=Ts.create,tD=du.create,mte=Bv.create,yte=fu.create,nD=og.create,vte=xc.create,_te=Dv.create,bte=sg.create,Ste=ag.create,wte=Pf.create,xte=hc.create,Cte=ol.create,Ete=Lv.create,Tte=Os.create,Ate=Zn.create,kte=Zn.strictCreate,Pte=lg.create,Rte=P_.create,Ote=ug.create,Ite=ga.create,Mte=cg.create,Nte=$v.create,Dte=Cc.create,Lte=of.create,$te=dg.create,Fte=fg.create,Bte=hu.create,zte=hg.create,Ute=Rf.create,jk=Ds.create,jte=Ka.create,Vte=Ec.create,Gte=Ds.createWithPreprocess,Hte=bm.create,qte=()=>eD().optional(),Wte=()=>tD().optional(),Kte=()=>nD().optional(),Xte={string:e=>Ts.create({...e,coerce:!0}),number:e=>du.create({...e,coerce:!0}),boolean:e=>og.create({...e,coerce:!0}),bigint:e=>fu.create({...e,coerce:!0}),date:e=>xc.create({...e,coerce:!0})},Qte=ct;var z=Object.freeze({__proto__:null,defaultErrorMap:rg,setErrorMap:ete,getErrorMap:Iv,makeIssue:Mv,EMPTY_PATH:tte,addIssueToContext:Pe,ParseStatus:Fi,INVALID:ct,DIRTY:Q7,OK:Xi,isAborted:uC,isDirty:cC,isValid:ig,isAsync:Nv,get util(){return Ut},get objectUtil(){return lC},ZodParsedType:ke,getParsedType:Nl,ZodType:bt,ZodString:Ts,ZodNumber:du,ZodBigInt:fu,ZodBoolean:og,ZodDate:xc,ZodSymbol:Dv,ZodUndefined:sg,ZodNull:ag,ZodAny:Pf,ZodUnknown:hc,ZodNever:ol,ZodVoid:Lv,ZodArray:Os,ZodObject:Zn,ZodUnion:lg,ZodDiscriminatedUnion:P_,ZodIntersection:ug,ZodTuple:ga,ZodRecord:cg,ZodMap:$v,ZodSet:Cc,ZodFunction:of,ZodLazy:dg,ZodLiteral:fg,ZodEnum:hu,ZodNativeEnum:hg,ZodPromise:Rf,ZodEffects:Ds,ZodTransformer:Ds,ZodOptional:Ka,ZodNullable:Ec,ZodDefault:pg,ZodCatch:Fv,ZodNaN:Bv,BRAND:hte,ZodBranded:Z7,ZodPipeline:bm,ZodReadonly:zv,custom:J7,Schema:bt,ZodSchema:bt,late:pte,get ZodFirstPartyTypeKind(){return nt},coerce:Xte,any:wte,array:Tte,bigint:yte,boolean:nD,date:vte,discriminatedUnion:Rte,effect:jk,enum:Bte,function:Lte,instanceof:gte,intersection:Ote,lazy:$te,literal:Fte,map:Nte,nan:mte,nativeEnum:zte,never:Cte,null:Ste,nullable:Vte,number:tD,object:Ate,oboolean:Kte,onumber:Wte,optional:jte,ostring:qte,pipeline:Hte,preprocess:Gte,promise:Ute,record:Mte,set:Dte,strictObject:kte,string:eD,symbol:_te,transformer:jk,tuple:Ite,undefined:bte,union:Pte,unknown:xte,void:Ete,NEVER:Qte,ZodIssueCode:ce,quotelessJson:Jee,ZodError:Rs});const Yte=z.string(),Q6e=e=>Yte.safeParse(e).success,Zte=z.string(),Y6e=e=>Zte.safeParse(e).success,Jte=z.string(),Z6e=e=>Jte.safeParse(e).success,ene=z.string(),J6e=e=>ene.safeParse(e).success,tne=z.number().int().min(1),ePe=e=>tne.safeParse(e).success,nne=z.number().min(1),tPe=e=>nne.safeParse(e).success,rD=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),nPe=e=>rD.safeParse(e).success,rPe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},rne=z.number().int().min(0).max(Zee),iPe=e=>rne.safeParse(e).success,ine=z.number().multipleOf(8).min(64),oPe=e=>ine.safeParse(e).success,one=z.number().multipleOf(8).min(64),sPe=e=>one.safeParse(e).success,eh=z.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),R_=z.object({model_name:z.string().min(1),base_model:eh,model_type:z.literal("main")}),aPe=e=>R_.safeParse(e).success,gE=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),lPe=e=>gE.safeParse(e).success,iD=z.object({model_name:z.string().min(1),base_model:eh,model_type:z.literal("onnx")}),Sm=z.union([R_,iD]),sne=z.object({model_name:z.string().min(1),base_model:eh}),uPe=z.object({model_name:z.string().min(1),base_model:eh}),cPe=z.object({model_name:z.string().min(1),base_model:eh}),ane=z.number().min(0).max(1),dPe=e=>ane.safeParse(e).success;z.enum(["fp16","fp32"]);const lne=z.number().min(1).max(10),fPe=e=>lne.safeParse(e).success,une=z.number().min(1).max(10),hPe=e=>une.safeParse(e).success,cne=z.number().min(0).max(1),pPe=e=>cne.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const $s={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"edge",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},dne=$s,oD=er({name:"generation",initialState:dne,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...$s}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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version"},Cm={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:Aie,_tr_stored_block:gC,_tr_flush_block:kie,_tr_tally:Jl,_tr_align:Pie}=wie,{Z_NO_FLUSH:eu,Z_PARTIAL_FLUSH:Rie,Z_FULL_FLUSH:Oie,Z_FINISH:Xo,Z_BLOCK:r6,Z_OK:gi,Z_STREAM_END:i6,Z_STREAM_ERROR:la,Z_DATA_ERROR:Iie,Z_BUF_ERROR:L2,Z_DEFAULT_COMPRESSION:Mie,Z_FILTERED:Nie,Z_HUFFMAN_ONLY:Ey,Z_RLE:Die,Z_FIXED:Lie,Z_DEFAULT_STRATEGY:$ie,Z_UNKNOWN:Fie,Z_DEFLATED:M_}=Cm,Bie=9,zie=15,Uie=8,jie=29,Vie=256,mC=Vie+1+jie,Gie=30,Hie=19,qie=2*mC+1,Wie=15,Mt=3,jl=258,ua=jl+Mt+1,Kie=32,Nf=42,xE=57,yC=69,vC=73,_C=91,bC=103,rc=113,Zh=666,Hi=1,ih=2,Tc=3,oh=4,Xie=3,ic=(e,t)=>(e.msg=Mf[t],t),o6=e=>e*2-(e>4?9:0),Dl=e=>{let t=e.length;for(;--t>=0;)e[t]=0},Qie=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let Yie=(e,t,n)=>(t<{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Ao=(e,t)=>{kie(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,So(e.strm)},Xt=(e,t)=>{e.pending_buf[e.pending++]=t},Rh=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},SC=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=xg(e.adler,t,i,n):e.state.wrap===2&&(e.adler=Qr(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},UD=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,s=e.prev_length,a=e.nice_match;const l=e.strstart>e.w_size-ua?e.strstart-(e.w_size-ua):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+jl;let h=u[r+s-1],p=u[r+s];e.prev_length>=e.good_match&&(n>>=2),a>e.lookahead&&(a=e.lookahead);do if(i=t,!(u[i+s]!==p||u[i+s-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&rs){if(e.match_start=t,s=o,o>=a)break;h=u[r+s-1],p=u[r+s]}}while((t=d[t&c])>l&&--n!==0);return s<=e.lookahead?s:e.lookahead},Df=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-ua)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),Qie(e),r+=t),e.strm.avail_in===0)break;if(n=SC(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Mt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=tu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=tu(e,e.ins_h,e.window[i+Mt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,s=0,a=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_outi+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,So(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(SC(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(s===0);return a-=e.strm.avail_in,a&&(a>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=a&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-a,e.strm.next_in),e.strstart),e.strstart+=a,e.insert+=a>e.w_size-e.insert?e.w_size-e.insert:a),e.block_start=e.strstart),e.high_watero&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(SC(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===Xo)&&t!==eu&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,s=t===Xo&&e.strm.avail_in===0&&r===i?1:0,gC(e,e.block_start,r,s),e.block_start+=r,So(e.strm)),s?Tc:Hi)},$2=(e,t)=>{let n,r;for(;;){if(e.lookahead=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-ua&&(e.match_length=UD(e,n)),e.match_length>=Mt)if(r=Jl(e,e.strstart-e.match_start,e.match_length-Mt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Mt){e.match_length--;do e.strstart++,e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=tu(e,e.ins_h,e.window[e.strstart+1]);else r=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=e.strstart{let n,r,i;for(;;){if(e.lookahead=Mt&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Mt-1,n!==0&&e.prev_length4096)&&(e.match_length=Mt-1)),e.prev_length>=Mt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Mt,r=Jl(e,e.strstart-1-e.prev_match,e.prev_length-Mt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=tu(e,e.ins_h,e.window[e.strstart+Mt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Mt-1,e.strstart++,r&&(Ao(e,!1),e.strm.avail_out===0))return Hi}else if(e.match_available){if(r=Jl(e,0,e.window[e.strstart-1]),r&&Ao(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return Hi}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Jl(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart{let n,r,i,o;const s=e.window;for(;;){if(e.lookahead<=jl){if(Df(e),e.lookahead<=jl&&t===eu)return Hi;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Mt&&e.strstart>0&&(i=e.strstart-1,r=s[i],r===s[++i]&&r===s[++i]&&r===s[++i])){o=e.strstart+jl;do;while(r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&r===s[++i]&&ie.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Mt?(n=Jl(e,1,e.match_length-Mt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih},Jie=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Df(e),e.lookahead===0)){if(t===eu)return Hi;break}if(e.match_length=0,n=Jl(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Ao(e,!1),e.strm.avail_out===0))return Hi}return e.insert=0,t===Xo?(Ao(e,!0),e.strm.avail_out===0?Tc:oh):e.sym_next&&(Ao(e,!1),e.strm.avail_out===0)?Hi:ih};function js(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Jh=[new js(0,0,0,0,jD),new js(4,4,8,4,$2),new js(4,5,16,8,$2),new js(4,6,32,32,$2),new js(4,4,16,16,sd),new js(8,16,32,32,sd),new js(8,16,128,128,sd),new js(8,32,128,256,sd),new js(32,128,258,1024,sd),new js(32,258,258,4096,sd)],eoe=e=>{e.window_size=2*e.w_size,Dl(e.head),e.max_lazy_match=Jh[e.level].max_lazy,e.good_match=Jh[e.level].good_length,e.nice_match=Jh[e.level].nice_length,e.max_chain_length=Jh[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Mt-1,e.match_available=0,e.ins_h=0};function toe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=M_,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(qie*2),this.dyn_dtree=new Uint16Array((2*Gie+1)*2),this.bl_tree=new Uint16Array((2*Hie+1)*2),Dl(this.dyn_ltree),Dl(this.dyn_dtree),Dl(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(Wie+1),this.heap=new Uint16Array(2*mC+1),Dl(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*mC+1),Dl(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const Em=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Nf&&t.status!==xE&&t.status!==yC&&t.status!==vC&&t.status!==_C&&t.status!==bC&&t.status!==rc&&t.status!==Zh?1:0},VD=e=>{if(Em(e))return ic(e,la);e.total_in=e.total_out=0,e.data_type=Fie;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?xE:t.wrap?Nf:rc,e.adler=t.wrap===2?0:1,t.last_flush=-2,Aie(t),gi},GD=e=>{const t=VD(e);return t===gi&&eoe(e.state),t},noe=(e,t)=>Em(e)||e.state.wrap!==2?la:(e.state.gzhead=t,gi),HD=(e,t,n,r,i,o)=>{if(!e)return la;let s=1;if(t===Mie&&(t=6),r<0?(s=0,r=-r):r>15&&(s=2,r-=16),i<1||i>Bie||n!==M_||r<8||r>15||t<0||t>9||o<0||o>Lie||r===8&&s!==1)return ic(e,la);r===8&&(r=9);const a=new toe;return e.state=a,a.strm=e,a.status=Nf,a.wrap=s,a.gzhead=null,a.w_bits=r,a.w_size=1<HD(e,t,M_,zie,Uie,$ie),ioe=(e,t)=>{if(Em(e)||t>r6||t<0)return e?ic(e,la):la;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===Zh&&t!==Xo)return ic(e,e.avail_out===0?L2:la);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(So(e),e.avail_out===0)return n.last_flush=-1,gi}else if(e.avail_in===0&&o6(t)<=o6(r)&&t!==Xo)return ic(e,L2);if(n.status===Zh&&e.avail_in!==0)return ic(e,L2);if(n.status===Nf&&n.wrap===0&&(n.status=rc),n.status===Nf){let i=M_+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Ey||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=Kie),i+=31-i%31,Rh(n,i),n.strstart!==0&&(Rh(n,e.adler>>>16),Rh(n,e.adler&65535)),e.adler=1,n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===xE){if(e.adler=0,Xt(n,31),Xt(n,139),Xt(n,8),n.gzhead)Xt(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),Xt(n,n.gzhead.time&255),Xt(n,n.gzhead.time>>8&255),Xt(n,n.gzhead.time>>16&255),Xt(n,n.gzhead.time>>24&255),Xt(n,n.level===9?2:n.strategy>=Ey||n.level<2?4:0),Xt(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(Xt(n,n.gzhead.extra.length&255),Xt(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=Qr(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=yC;else if(Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,0),Xt(n,n.level===9?2:n.strategy>=Ey||n.level<2?4:0),Xt(n,Xie),n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(n.status===yC){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let a=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+a),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=a,So(e),n.pending!==0)return n.last_flush=-1,gi;i=0,o-=a}let s=new Uint8Array(n.gzhead.extra);n.pending_buf.set(s.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=vC}if(n.status===vC){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindexi&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=_C}if(n.status===_C){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i)),So(e),n.pending!==0)return n.last_flush=-1,gi;i=0}n.gzindexi&&(e.adler=Qr(e.adler,n.pending_buf,n.pending-i,i))}n.status=bC}if(n.status===bC){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(So(e),n.pending!==0))return n.last_flush=-1,gi;Xt(n,e.adler&255),Xt(n,e.adler>>8&255),e.adler=0}if(n.status=rc,So(e),n.pending!==0)return n.last_flush=-1,gi}if(e.avail_in!==0||n.lookahead!==0||t!==eu&&n.status!==Zh){let i=n.level===0?jD(n,t):n.strategy===Ey?Jie(n,t):n.strategy===Die?Zie(n,t):Jh[n.level].func(n,t);if((i===Tc||i===oh)&&(n.status=Zh),i===Hi||i===Tc)return e.avail_out===0&&(n.last_flush=-1),gi;if(i===ih&&(t===Rie?Pie(n):t!==r6&&(gC(n,0,0,!1),t===Oie&&(Dl(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),So(e),e.avail_out===0))return n.last_flush=-1,gi}return t!==Xo?gi:n.wrap<=0?i6:(n.wrap===2?(Xt(n,e.adler&255),Xt(n,e.adler>>8&255),Xt(n,e.adler>>16&255),Xt(n,e.adler>>24&255),Xt(n,e.total_in&255),Xt(n,e.total_in>>8&255),Xt(n,e.total_in>>16&255),Xt(n,e.total_in>>24&255)):(Rh(n,e.adler>>>16),Rh(n,e.adler&65535)),So(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?gi:i6)},ooe=e=>{if(Em(e))return la;const t=e.state.status;return e.state=null,t===rc?ic(e,Iie):gi},soe=(e,t)=>{let n=t.length;if(Em(e))return la;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Nf||r.lookahead)return la;if(i===1&&(e.adler=xg(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Dl(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,s=e.next_in,a=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Df(r);r.lookahead>=Mt;){let l=r.strstart,u=r.lookahead-(Mt-1);do 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n<0||n===0?t:n+Cg[e[n]]>t?n:t},Eg={string2buf:_oe,buf2string:Soe,utf8border:woe};function xoe(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var WD=xoe;const KD=Object.prototype.toString,{Z_NO_FLUSH:Coe,Z_SYNC_FLUSH:Eoe,Z_FULL_FLUSH:Toe,Z_FINISH:Aoe,Z_OK:qv,Z_STREAM_END:koe,Z_DEFAULT_COMPRESSION:Poe,Z_DEFAULT_STRATEGY:Roe,Z_DEFLATED:Ooe}=Cm;function CE(e){this.options=N_.assign({level:Poe,method:Ooe,chunkSize:16384,windowBits:15,memLevel:8,strategy:Roe},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new WD,this.strm.avail_out=0;let n=_p.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==qv)throw new Error(Mf[n]);if(t.header&&_p.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=Eg.string2buf(t.dictionary):KD.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=_p.deflateSetDictionary(this.strm,r),n!==qv)throw new Error(Mf[n]);this._dict_set=!0}}CE.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?Aoe:Coe,typeof e=="string"?n.input=Eg.string2buf(e):KD.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Eoe||o===Toe)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=_p.deflate(n,o),i===koe)return 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1;for(;;){N=u-m,s[c]+1=A?(C=L[s[c]-A],P=E[s[c]-A]):(C=32+64,P=0),g=1<>m)+y]=N<<24|C<<16|P|0;while(y!==0);for(g=1<>=1;if(g!==0?(v&=g-1,v+=g):v=0,c++,--T[u]===0){if(u===f)break;u=t[n+s[c]]}if(u>h&&(v&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,b=1<s6||e===u6&&_>a6)return 1;S=v&w,i[S]=h<<24|p<<16|x-o|0}}return v!==0&&(i[x+v]=u-m<<24|64<<16|0),a.bits=h,0};var bp=Foe;const Boe=0,XD=1,QD=2,{Z_FINISH:c6,Z_BLOCK:zoe,Z_TREES:Ay,Z_OK:Ac,Z_STREAM_END:Uoe,Z_NEED_DICT:joe,Z_STREAM_ERROR:rs,Z_DATA_ERROR:YD,Z_MEM_ERROR:ZD,Z_BUF_ERROR:Voe,Z_DEFLATED:d6}=Cm,D_=16180,f6=16181,h6=16182,p6=16183,g6=16184,m6=16185,y6=16186,v6=16187,_6=16188,b6=16189,Wv=16190,Aa=16191,B2=16192,S6=16193,z2=16194,w6=16195,x6=16196,C6=16197,E6=16198,ky=16199,Py=16200,T6=16201,A6=16202,k6=16203,P6=16204,R6=16205,U2=16206,O6=16207,I6=16208,Vn=16209,JD=16210,eL=16211,Goe=852,Hoe=592,qoe=15,Woe=qoe,M6=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function Koe(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Uc=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.modeeL?1:0},tL=e=>{if(Uc(e))return rs;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D_,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(Goe),t.distcode=t.distdyn=new Int32Array(Hoe),t.sane=1,t.back=-1,Ac},nL=e=>{if(Uc(e))return rs;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,tL(e)},rL=(e,t)=>{let n;if(Uc(e))return rs;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?rs:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,nL(e))},iL=(e,t)=>{if(!e)return rs;const n=new Koe;e.state=n,n.strm=e,n.window=null,n.mode=D_;const r=rL(e,t);return r!==Ac&&(e.state=null),r},Xoe=e=>iL(e,Woe);let N6=!0,j2,V2;const Qoe=e=>{if(N6){j2=new Int32Array(512),V2=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(bp(XD,e.lens,0,288,j2,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;bp(QD,e.lens,0,32,V2,0,e.work,{bits:5}),N6=!1}e.lencode=j2,e.lenbits=9,e.distcode=V2,e.distbits=5},oL=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave{let n,r,i,o,s,a,l,u,c,d,f,h,p,m,b=0,_,v,g,y,S,w,x,E;const A=new Uint8Array(4);let T,k;const L=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Uc(e)||!e.output||!e.input&&e.avail_in!==0)return rs;n=e.state,n.mode===Aa&&(n.mode=B2),s=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,a=e.avail_in,u=n.hold,c=n.bits,d=a,f=l,E=Ac;e:for(;;)switch(n.mode){case D_:if(n.wrap===0){n.mode=B2;break}for(;c<16;){if(a===0)break e;a--,u+=r[o++]<>>8&255,n.check=Qr(n.check,A,2,0),u=0,c=0,n.mode=f6;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Vn;break}if((u&15)!==d6){e.msg="unknown compression 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i=t.map(l=>({item:l,type:"add"})),o=e.nodes.map(l=>({id:l.data.id,type:"select",selected:!1})),s=r.map(l=>({item:l,type:"add"})),a=e.edges.map(l=>({id:l.id,type:"select",selected:!1}));e.nodes=Ku(i.concat(o),e.nodes),e.edges=Bu(s.concat(a),e.edges),t.forEach(l=>{e.nodeExecutionStates[l.id]={nodeId:l.id,...hw}})},addNodePopoverOpened:e=>{e.isAddNodePopoverOpen=!0},addNodePopoverClosed:e=>{e.isAddNodePopoverOpen=!1},addNodePopoverToggled:e=>{e.isAddNodePopoverOpen=!e.isAddNodePopoverOpen},selectionModeChanged:(e,t)=>{e.selectionMode=t.payload?mu.Full:mu.Partial}},extraReducers:e=>{e.addCase(Lg.pending,t=>{t.isReady=!1}),e.addCase(UE,(t,n)=>{const{source_node_id:r}=n.payload.data,i=t.nodeExecutionStates[r];i&&(i.status=La.IN_PROGRESS)}),e.addCase(VE,(t,n)=>{const{source_node_id:r,result:i}=n.payload.data,o=t.nodeExecutionStates[r];o&&(o.status=La.COMPLETED,o.progress!==null&&(o.progress=1),o.outputs.push(i))}),e.addCase(xb,(t,n)=>{const{source_node_id:r}=n.payload.data,i=t.nodeExecutionStates[r];i&&(i.status=La.FAILED,i.error=n.payload.data.error,i.progress=null,i.progressImage=null)}),e.addCase(GE,(t,n)=>{const{source_node_id:r,step:i,total_steps:o,progress_image:s}=n.payload.data,a=t.nodeExecutionStates[r];a&&(a.status=La.IN_PROGRESS,a.progress=(i+1)/o,a.progressImage=s??null)}),e.addCase(nh.fulfilled,t=>{ns(t.nodeExecutionStates,n=>{n.status=La.PENDING,n.error=null,n.progress=null,n.progressImage=null,n.outputs=[]})}),e.addCase(Au.fulfilled,t=>{aee(t.nodeExecutionStates,n=>{n.status===La.IN_PROGRESS&&(n.status=La.PENDING)})})}}),{nodesChanged:ROe,edgesChanged:OOe,nodeAdded:IOe,nodesDeleted:MOe,connectionMade:NOe,connectionStarted:DOe,connectionEnded:LOe,shouldShowFieldTypeLegendChanged:$Oe,shouldShowMinimapPanelChanged:FOe,nodeTemplatesBuilt:vB,nodeEditorReset:Fme,imageCollectionFieldValueChanged:BOe,fieldStringValueChanged:zOe,fieldNumberValueChanged:UOe,fieldBooleanValueChanged:jOe,fieldImageValueChanged:Rb,fieldColorValueChanged:VOe,fieldMainModelValueChanged:GOe,fieldVaeModelValueChanged:HOe,fieldLoRAModelValueChanged:qOe,fieldEnumModelValueChanged:WOe,fieldControlNetModelValueChanged:KOe,fieldRefinerModelValueChanged:XOe,fieldSchedulerValueChanged:QOe,nodeIsOpenChanged:YOe,nodeLabelChanged:ZOe,nodeNotesChanged:JOe,edgesDeleted:eIe,shouldValidateGraphChanged:tIe,shouldAnimateEdgesChanged:nIe,nodeOpacityChanged:rIe,shouldSnapToGridChanged:iIe,shouldColorEdgesChanged:oIe,selectedNodesChanged:sIe,selectedEdgesChanged:aIe,workflowNameChanged:lIe,workflowDescriptionChanged:uIe,workflowTagsChanged:cIe,workflowAuthorChanged:dIe,workflowNotesChanged:fIe,workflowVersionChanged:hIe,workflowContactChanged:pIe,workflowLoaded:Bme,notesNodeValueChanged:gIe,workflowExposedFieldAdded:zme,workflowExposedFieldRemoved:mIe,fieldLabelChanged:yIe,viewportChanged:vIe,mouseOverFieldChanged:_Ie,selectionCopied:bIe,selectionPasted:SIe,selectedAll:wIe,addNodePopoverOpened:xIe,addNodePopoverClosed:CIe,addNodePopoverToggled:EIe,selectionModeChanged:TIe,nodeEmbedWorkflowChanged:AIe,nodeIsIntermediateChanged:kIe,mouseOverNodeChanged:PIe,nodeExclusivelySelected:RIe}=yB.actions,Ume=yB.reducer,_B={esrganModelName:"RealESRGAN_x4plus.pth"},bB=er({name:"postprocessing",initialState:_B,reducers:{esrganModelNameChanged:(e,t)=>{e.esrganModelName=t.payload}}}),{esrganModelNameChanged:OIe}=bB.actions,jme=bB.reducer,Vme={positiveStylePrompt:"",negativeStylePrompt:"",shouldConcatSDXLStylePrompt:!0,shouldUseSDXLRefiner:!1,sdxlImg2ImgDenoisingStrength:.7,refinerModel:null,refinerSteps:20,refinerCFGScale:7.5,refinerScheduler:"euler",refinerPositiveAestheticScore:6,refinerNegativeAestheticScore:2.5,refinerStart:.8},SB=er({name:"sdxl",initialState:Vme,reducers:{setPositiveStylePromptSDXL:(e,t)=>{e.positiveStylePrompt=t.payload},setNegativeStylePromptSDXL:(e,t)=>{e.negativeStylePrompt=t.payload},setShouldConcatSDXLStylePrompt:(e,t)=>{e.shouldConcatSDXLStylePrompt=t.payload},setShouldUseSDXLRefiner:(e,t)=>{e.shouldUseSDXLRefiner=t.payload},setSDXLImg2ImgDenoisingStrength:(e,t)=>{e.sdxlImg2ImgDenoisingStrength=t.payload},refinerModelChanged:(e,t)=>{e.refinerModel=t.payload},setRefinerSteps:(e,t)=>{e.refinerSteps=t.payload},setRefinerCFGScale:(e,t)=>{e.refinerCFGScale=t.payload},setRefinerScheduler:(e,t)=>{e.refinerScheduler=t.payload},setRefinerPositiveAestheticScore:(e,t)=>{e.refinerPositiveAestheticScore=t.payload},setRefinerNegativeAestheticScore:(e,t)=>{e.refinerNegativeAestheticScore=t.payload},setRefinerStart:(e,t)=>{e.refinerStart=t.payload}}}),{setPositiveStylePromptSDXL:IIe,setNegativeStylePromptSDXL:MIe,setShouldConcatSDXLStylePrompt:NIe,setShouldUseSDXLRefiner:Gme,setSDXLImg2ImgDenoisingStrength:DIe,refinerModelChanged:g8,setRefinerSteps:LIe,setRefinerCFGScale:$Ie,setRefinerScheduler:FIe,setRefinerPositiveAestheticScore:BIe,setRefinerNegativeAestheticScore:zIe,setRefinerStart:UIe}=SB.actions,Hme=SB.reducer,Lm=Me("app/userInvoked"),qme={type:"logger",log(e){this.output("log",e)},warn(e){this.output("warn",e)},error(e){this.output("error",e)},output(e,t){console&&console[e]&&console[e].apply(console,t)}};class m1{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.init(t,n)}init(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.prefix=n.prefix||"i18next:",this.logger=t||qme,this.options=n,this.debug=n.debug}log(){for(var t=arguments.length,n=new Array(t),r=0;r{this.observers[r]=this.observers[r]||[],this.observers[r].push(n)}),this}off(t,n){if(this.observers[t]){if(!n){delete this.observers[t];return}this.observers[t]=this.observers[t].filter(r=>r!==n)}}emit(t){for(var n=arguments.length,r=new Array(n>1?n-1:0),i=1;i{s(...r)}),this.observers["*"]&&[].concat(this.observers["*"]).forEach(s=>{s.apply(s,[t,...r])})}}function $h(){let e,t;const n=new Promise((r,i)=>{e=r,t=i});return n.resolve=e,n.reject=t,n}function m8(e){return e==null?"":""+e}function Wme(e,t,n){e.forEach(r=>{t[r]&&(n[r]=t[r])})}function dT(e,t,n){function r(s){return s&&s.indexOf("###")>-1?s.replace(/###/g,"."):s}function i(){return!e||typeof e=="string"}const o=typeof 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0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=y1(this.data,a);return l||!s||typeof r!="string"?l:v1(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),y8(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=y1(this.data,a)||{};i?wB(l,r,o):l={...l,...r},y8(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var xB={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const _8={};class b1 extends Ob{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Wme(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=na.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 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Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const y=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=y,d):y}if(o){const y=m==="[object Array]",S=y?[]:{},w=y?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const E=`${w}${o}${x}`;S[x]=this.translate(E,{...n,joinArrays:!1,ns:a}),S[x]===E&&(S[x]=f[x])}f=S}}else if(v&&typeof _=="string"&&m==="[object Array]")f=f.join(_),f&&(f=this.extendTranslation(f,t,n,r));else{let y=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=b1.hasDefaultValue(n),E=w?this.pluralResolver.getSuffix(u,n.count,n):"",A=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${E}`]||n[`defaultValue${A}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(y=!0,f=T),this.isValidLookup(f)||(S=!0,f=s);const L=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,N=x&&T!==f&&this.options.updateMissing;if(S||y||N){if(this.logger.log(N?"updateKey":"missingKey",u,l,s,N?T:f),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.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 C=[];const P=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&P&&P[0])for(let B=0;B{const I=x&&O!==f?O:L;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,R,I,N,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,R,I,N,n),this.emit("missingKey",B,l,R,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(R=>{D([B],s+R,n[`defaultValue${R}`]||T)})}):D(C,s,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(S||y)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,y?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(b=>{this.isValidLookup(r)||(a=b,!_8[`${m[0]}-${b}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(_8[`${m[0]}-${b}`]=!0,this.logger.warn(`key "${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(_=>{if(this.isValidLookup(r))return;s=_;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,_,b,n);else{let y;f&&(y=this.pluralResolver.getSuffix(_,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+y),n.ordinal&&y.indexOf(w)===0&&v.push(c+y.replace(w,this.options.pluralSeparator)),h&&v.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+y),n.ordinal&&y.indexOf(w)===0&&v.push(x+y.replace(w,this.options.pluralSeparator)),h&&v.push(x+S))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(_,b,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 pw(e){return e.charAt(0).toUpperCase()+e.slice(1)}class b8{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=na.create("languageUtils")}getScriptPartFromCode(t){if(t=_1(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=_1(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]=pw(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]=pw(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=pw(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 eye=[{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}],tye={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 nye=["v1","v2","v3"],rye=["v4"],S8={zero:0,one:1,two:2,few:3,many:4,other:5};function iye(){const e={};return eye.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:tye[t.fc]}})}),e}class oye{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=na.create("pluralResolver"),(!this.options.compatibilityJSON||rye.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=iye()}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(_1(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}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>S8[i]-S8[o]).map(i=>`${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!nye.includes(this.options.compatibilityJSON)}}function w8(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=Xme(e,t,n);return!o&&i&&typeof n=="string"&&(o=v1(e,n,r),o===void 0&&(o=v1(t,n,r))),o}class sye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.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:Yme,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?hd(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?hd(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?hd(n.nestingPrefix):n.nestingPrefixEscaped||hd("$t("),this.nestingSuffix=n.nestingSuffix?hd(n.nestingSuffix):n.nestingSuffixEscaped||hd(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${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 v=w8(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,r,{...i,...n,interpolationkey:p}):v}const m=p.split(this.formatSeparator),b=m.shift().trim(),_=m.join(this.formatSeparator).trim();return this.format(w8(n,l,b,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:b})};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 _=d(t,o,i);s=typeof _=="string"?_:""}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 ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=m8(s));const b=p.safeValue(s);if(t=t.replace(o[0],b),f?(p.regex.lastIndex+=s.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${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=m8(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function aye(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/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 pd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(_1(i),o),t[s]=a),a(r)}}class lye{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=na.create("formatter"),this.options=t,this.formats={number:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:pd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:pd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:pd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:pd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=pd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:c}=aye(l);if(this.formats[u]){let d=a;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](a,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else 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Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>a(null,d)).catch(a):a(null,c)}catch(c){a(c)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function x8(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function C8(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 Hy(){}function dye(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class $g extends Ob{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=C8(t),this.services={},this.logger=na,this.modules={external:[]},dye(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=x8();this.options={...i,...this.options,...C8(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?na.init(o(this.modules.logger),this.options):na.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=lye);const d=new b8(this.options);this.store=new v8(this.options.resources,this.options);const f=this.services;f.logger=na,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new oye(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 sye(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new cye(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),b=1;b1?p-1:0),b=1;b{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Hy),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=$h(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. 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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"&&xB.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-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=$h();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d`${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}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=$h();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=$h();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 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Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(xt);var Is={},Xa={};Object.defineProperty(Xa,"__esModule",{value:!0});Xa.HitContext=Xa.SceneContext=Xa.Context=void 0;const HB=ir,q0e=Et;function W0e(e){var t=[],n=e.length,r=HB.Util,i,o;for(i=0;itypeof c=="number"?Math.floor(c):c)),o+=K0e+u.join(N8)+X0e)):(o+=a.property,t||(o+=eve+a.val)),o+=Z0e;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=nve&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=D8.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=W0e(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;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{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))})(Fb);Object.defineProperty(Kn,"__esModule",{value:!0});Kn.Node=void 0;const Pt=ir,$m=xt,Wy=Is,zu=Et,Uo=Fb,yr=He;var F0="absoluteOpacity",Ky="allEventListeners",Na="absoluteTransform",L8="absoluteScale",Uu="canvas",cve="Change",dve="children",fve="konva",QC="listening",$8="mouseenter",F8="mouseleave",B8="set",z8="Shape",B0=" ",U8="stage",Cl="transform",hve="Stage",YC="visible",pve=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(B0);let gve=1;class at{constructor(t){this._id=gve++,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===Cl||t===Na)&&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===Cl||t===Na,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(B0);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Na&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uu)){const{scene:t,filter:n,hit:r}=this._cache.get(Uu);Pt.Util.releaseCanvas(t,n,r),this._cache.delete(Uu)}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){Pt.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 Wy.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Wy.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Wy.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),b=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),b.save(),m.translate(-a,-l),b.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(F0),this._clearSelfAndDescendantCache(L8),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),b.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(Uu,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uu)}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{var n,r;if(!t)return this;for(n in t)n!==dve&&(r=B8+Pt.Util._capitalize(n),Pt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(QC,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(YC,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;Uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!zu.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;s0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==hve&&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(Cl),this._clearSelfAndDescendantCache(Na)),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 Pt.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(Cl);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(Cl),this._clearSelfAndDescendantCache(Na),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;s0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return Pt.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 Pt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&Pt.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(F0,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=Pt.Util.isObject(i)&&!Pt.Util._isPlainObject(i)&&!Pt.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(),Pt.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{try{const i=t==null?void 0:t.callback;i&&delete t.callback,Pt.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():zu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o=0;if(r&&!this.isDragging()){var i=!1;Uo.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=Uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Uo.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 Pt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return Pt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=at.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),zu.Konva[r]||(Pt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=zu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a0}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;n0?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=vw.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=vw.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 b;if(l)b=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,b),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(b){b[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 b=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});b.width===0&&b.height===0||(o===void 0?(o=b.x,s=b.y,a=b.x+b.width,l=b.y+b.height):(o=Math.min(o,b.x),s=Math.min(s,b.y),a=Math.max(a,b.x+b.width),l=Math.max(l,b.y+b.height)))}});for(var d=this.find("Shape"),f=!1,h=0;hQ.indexOf("pointer")>=0?"pointer":Q.indexOf("touch")>=0?"touch":"mouse",U=Q=>{const j=F(Q);if(j==="pointer")return i.Konva.pointerEventsEnabled&&I.pointer;if(j==="touch")return I.touch;if(j==="mouse")return I.mouse};function V(Q={}){return(Q.clipFunc||Q.clipWidth||Q.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Q}const H="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 Y extends r.Container{constructor(j){super(V(j)),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",()=>{V(this.attrs)}),this._checkVisibility()}_validateAdd(j){const K=j.getType()==="Layer",ee=j.getType()==="FastLayer";K||ee||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var K=j.slice(1);j=document.getElementsByClassName(K)[0]}else{var ee;j.charAt(0)!=="#"?ee=j:ee=j.slice(1),j=document.getElementById(ee)}if(!j)throw"Can not find container in document with id "+ee}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,K=j.length,ee;for(ee=0;ee-1&&e.stages.splice(K,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(H),null)}_getPointerById(j){return this._pointerPositions.find(K=>K.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var K=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ee=K.getContext()._context,ie=this.children;return(j.x||j.y)&&ee.translate(-1*j.x,-1*j.y),ie.forEach(function(ge){if(ge.isVisible()){var ae=ge._toKonvaCanvas(j);ee.drawImage(ae._canvas,j.x,j.y,ae.getWidth()/ae.getPixelRatio(),ae.getHeight()/ae.getPixelRatio())}}),K}getIntersection(j){if(!j)return null;var K=this.children,ee=K.length,ie=ee-1,ge;for(ge=ie;ge>=0;ge--){const ae=K[ge].getIntersection(j);if(ae)return ae}return null}_resizeDOM(){var j=this.width(),K=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=K+d),this.bufferCanvas.setSize(j,K),this.bufferHitCanvas.setSize(j,K),this.children.forEach(ee=>{ee.setSize({width:j,height:K}),ee.draw()})}add(j,...K){if(arguments.length>1){for(var ee=0;eeR&&t.Util.warn("The stage has "+ie+" 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."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&O.forEach(([j,K])=>{this.content.addEventListener(j,ee=>{this[K](ee)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const K=U(j.type);this._fire(K.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let K=this[j+"targetShape"];return K&&!K.getStage()&&(K=null),K}_pointerleave(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=this._getTargetShape(ee),ge=!s.DD.isDragging||i.Konva.hitOnDragEnabled;ie&&ge?(ie._fireAndBubble(K.pointerout,{evt:j}),ie._fireAndBubble(K.pointerleave,{evt:j}),this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this[ee+"targetShape"]=null):ge&&(this._fire(K.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(K.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const K=U(j.type),ee=F(j.type);if(K){this.setPointersPositions(j);var ie=!1;this._changedPointerPositions.forEach(ge=>{var ae=this.getIntersection(ge);if(s.DD.justDragged=!1,i.Konva["_"+ee+"ListenClick"]=!0,!(ae&&ae.isListening()))return;i.Konva.capturePointerEventsEnabled&&ae.setPointerCapture(ge.id),this[ee+"ClickStartShape"]=ae,ae._fireAndBubble(K.pointerdown,{evt:j,pointerId:ge.id}),ie=!0;const et=j.type.indexOf("touch")>=0;ae.preventDefault()&&j.cancelable&&et&&j.preventDefault()}),ie||this._fire(K.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const K=U(j.type),ee=F(j.type);if(!K)return;s.DD.isDragging&&s.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var ie=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!ie)return;var ge={};let ae=!1;var dt=this._getTargetShape(ee);this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et),lt=et.id,Te={evt:j,pointerId:lt};var Gt=dt!==Ne;if(Gt&&dt&&(dt._fireAndBubble(K.pointerout,Object.assign({},Te),Ne),dt._fireAndBubble(K.pointerleave,Object.assign({},Te),Ne)),Ne){if(ge[Ne._id])return;ge[Ne._id]=!0}Ne&&Ne.isListening()?(ae=!0,Gt&&(Ne._fireAndBubble(K.pointerover,Object.assign({},Te),dt),Ne._fireAndBubble(K.pointerenter,Object.assign({},Te),dt),this[ee+"targetShape"]=Ne),Ne._fireAndBubble(K.pointermove,Object.assign({},Te))):dt&&(this._fire(K.pointerover,{evt:j,target:this,currentTarget:this,pointerId:lt}),this[ee+"targetShape"]=null)}),ae||this._fire(K.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const K=U(j.type),ee=F(j.type);if(!K)return;this.setPointersPositions(j);const ie=this[ee+"ClickStartShape"],ge=this[ee+"ClickEndShape"];var ae={};let dt=!1;this._changedPointerPositions.forEach(et=>{const Ne=l.getCapturedShape(et.id)||this.getIntersection(et);if(Ne){if(Ne.releaseCapture(et.id),ae[Ne._id])return;ae[Ne._id]=!0}const lt=et.id,Te={evt:j,pointerId:lt};let Gt=!1;i.Konva["_"+ee+"InDblClickWindow"]?(Gt=!0,clearTimeout(this[ee+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+ee+"InDblClickWindow"]=!0,clearTimeout(this[ee+"DblTimeout"])),this[ee+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ee+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ne&&Ne.isListening()?(dt=!0,this[ee+"ClickEndShape"]=Ne,Ne._fireAndBubble(K.pointerup,Object.assign({},Te)),i.Konva["_"+ee+"ListenClick"]&&ie&&ie===Ne&&(Ne._fireAndBubble(K.pointerclick,Object.assign({},Te)),Gt&&ge&&ge===Ne&&Ne._fireAndBubble(K.pointerdblclick,Object.assign({},Te)))):(this[ee+"ClickEndShape"]=null,i.Konva["_"+ee+"ListenClick"]&&this._fire(K.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:lt}),Gt&&this._fire(K.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:lt}))}),dt||this._fire(K.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ee+"ListenClick"]=!1,j.cancelable&&ee!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var K=this.getIntersection(this.getPointerPosition());K&&K.isListening()?K._fireAndBubble(B,{evt:j}):this._fire(B,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const K=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());K&&K._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var K=this._getContentPosition(),ee=null,ie=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ge=>{this._pointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ge=>{this._changedPointerPositions.push({id:ge.identifier,x:(ge.clientX-K.left)/K.scaleX,y:(ge.clientY-K.top)/K.scaleY})})):(ee=(j.clientX-K.left)/K.scaleX,ie=(j.clientY-K.top)/K.scaleY,this.pointerPos={x:ee,y:ie},this._pointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ee,y:ie,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.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 j=this.container();if(!j)throw"Stage has no container. A container is required.";j.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"),j.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(j){j.batchDraw()}),this}}e.Stage=Y,Y.prototype.nodeType=u,(0,a._registerNode)(Y),n.Factory.addGetterSetter(Y,"container")})(KB);var Fm={},zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Et,n=ir,r=xt,i=Kn,o=He,s=Et,a=Eo;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(A){const T=this.attrs.fillRule;T?A.fill(T):A.fill()}function b(A){A.stroke()}function _(A){A.fill()}function v(A){A.stroke()}function g(){this._clearCache(l)}function y(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class E extends i.Node{constructor(T){super(T);let k;for(;k=n.Util.getRandomColor(),!(k&&!(k in e.shapes)););this.colorKey=k,e.shapes[k]=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 T=p();const k=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(k&&k.setTransform){const L=new n.Transform;L.translate(this.fillPatternX(),this.fillPatternY()),L.rotate(t.Konva.getAngle(this.fillPatternRotation())),L.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),L.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const N=L.getMatrix(),C=typeof DOMMatrix>"u"?{a:N[0],b:N[1],c:N[2],d:N[3],e:N[4],f:N[5]}:new DOMMatrix(N);k.setTransform(C)}return k}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var k=p(),L=this.fillLinearGradientStartPoint(),N=this.fillLinearGradientEndPoint(),C=k.createLinearGradient(L.x,L.y,N.x,N.y),P=0;Pthis.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 T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var k=this.getStage(),L=k.bufferHitCanvas,N;return L.getContext().clear(),this.drawHit(L,null,!0),N=L.context.getImageData(Math.round(T.x),Math.round(T.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(T){var k;if(!this.getStage()||!((k=this.attrs.perfectDrawEnabled)!==null&&k!==void 0?k:!0))return!1;const N=T||this.hasFill(),C=this.hasStroke(),P=this.getAbsoluteOpacity()!==1;if(N&&C&&P)return!0;const D=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(N&&C&&D&&B)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const k=T.skipTransform,L=T.relativeTo,N=this.getSelfRect(),P=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=N.width+P,B=N.height+P,R=!T.skipShadow&&this.hasShadow(),O=R?this.shadowOffsetX():0,I=R?this.shadowOffsetY():0,F=D+Math.abs(O),U=B+Math.abs(I),V=R&&this.shadowBlur()||0,H=F+V*2,Y=U+V*2,Q={width:H,height:Y,x:-(P/2+V)+Math.min(O,0)+N.x,y:-(P/2+V)+Math.min(I,0)+N.y};return k?Q:this._transformedRect(Q,L)}drawScene(T,k){var L=this.getLayer(),N=T||L.getCanvas(),C=N.getContext(),P=this._getCanvasCache(),D=this.getSceneFunc(),B=this.hasShadow(),R,O,I,F=N.isCache,U=k===this;if(!this.isVisible()&&!U)return this;if(P){C.save();var V=this.getAbsoluteTransform(k).getMatrix();return C.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!D)return this;if(C.save(),this._useBufferCanvas()&&!F){R=this.getStage(),O=R.bufferCanvas,I=O.getContext(),I.clear(),I.save(),I._applyLineJoin(this);var H=this.getAbsoluteTransform(k).getMatrix();I.transform(H[0],H[1],H[2],H[3],H[4],H[5]),D.call(this,I,this),I.restore();var Y=O.pixelRatio;B&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(O._canvas,0,0,O.width/Y,O.height/Y)}else{if(C._applyLineJoin(this),!U){var H=this.getAbsoluteTransform(k).getMatrix();C.transform(H[0],H[1],H[2],H[3],H[4],H[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}B&&C._applyShadow(this),D.call(this,C,this)}return C.restore(),this}drawHit(T,k,L=!1){if(!this.shouldDrawHit(k,L))return this;var N=this.getLayer(),C=T||N.hitCanvas,P=C&&C.getContext(),D=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),R=B&&B.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){P.save();var O=this.getAbsoluteTransform(k).getMatrix();return P.transform(O[0],O[1],O[2],O[3],O[4],O[5]),this._drawCachedHitCanvas(P),P.restore(),this}if(!D)return this;if(P.save(),P._applyLineJoin(this),!(this===k)){var F=this.getAbsoluteTransform(k).getMatrix();P.transform(F[0],F[1],F[2],F[3],F[4],F[5])}return D.call(this,P,this),P.restore(),this}drawHitFromCache(T=0){var k=this._getCanvasCache(),L=this._getCachedSceneCanvas(),N=k.hit,C=N.getContext(),P=N.getWidth(),D=N.getHeight(),B,R,O,I,F,U;C.clear(),C.drawImage(L._canvas,0,0,P,D);try{for(B=C.getImageData(0,0,P,D),R=B.data,O=R.length,I=n.Util._hexToRgb(this.colorKey),F=0;FT?(R[F]=I.r,R[F+1]=I.g,R[F+2]=I.b,R[F+3]=255):R[F+3]=0;C.putImageData(B,0,0)}catch(V){n.Util.error("Unable to draw hit graph from cached scene canvas. "+V.message)}return this}hasPointerCapture(T){return a.hasPointerCapture(T,this)}setPointerCapture(T){a.setPointerCapture(T,this)}releaseCapture(T){a.releaseCapture(T,this)}}e.Shape=E,E.prototype._fillFunc=m,E.prototype._strokeFunc=b,E.prototype._fillFuncHit=_,E.prototype._strokeFuncHit=v,E.prototype._centroid=!1,E.prototype.nodeType="Shape",(0,s._registerNode)(E),E.prototype.eventListeners={},E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),E.prototype.on.call(E.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),E.prototype.on.call(E.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(E,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(E,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(E,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(E,"lineJoin"),r.Factory.addGetterSetter(E,"lineCap"),r.Factory.addGetterSetter(E,"sceneFunc"),r.Factory.addGetterSetter(E,"hitFunc"),r.Factory.addGetterSetter(E,"dash"),r.Factory.addGetterSetter(E,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(E,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(E,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternImage"),r.Factory.addGetterSetter(E,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(E,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(E,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(E,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(E,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(E,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(E,"fillEnabled",!0),r.Factory.addGetterSetter(E,"strokeEnabled",!0),r.Factory.addGetterSetter(E,"shadowEnabled",!0),r.Factory.addGetterSetter(E,"dashEnabled",!0),r.Factory.addGetterSetter(E,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(E,"fillPriority","color"),r.Factory.addComponentsGetterSetter(E,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(E,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(E,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(E,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(E,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(E,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(E,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(E,"fillPatternRotation",0),r.Factory.addGetterSetter(E,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(E,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(zr);Object.defineProperty(Fm,"__esModule",{value:!0});Fm.Layer=void 0;const Ra=ir,_w=Vc,gd=Kn,vT=xt,j8=Is,bve=He,Sve=zr,wve=Et;var xve="#",Cve="beforeDraw",Eve="draw",YB=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Tve=YB.length;class ah extends _w.Container{constructor(t){super(t),this.canvas=new j8.SceneCanvas,this.hitCanvas=new j8.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{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;i0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(Cve,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),_w.Container.prototype.drawScene.call(this,i,n),this._fire(Eve,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),_w.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){Ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return Ra.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 Ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Fm.Layer=ah;ah.prototype.nodeType="Layer";(0,wve._registerNode)(ah);vT.Factory.addGetterSetter(ah,"imageSmoothingEnabled",!0);vT.Factory.addGetterSetter(ah,"clearBeforeDraw",!0);vT.Factory.addGetterSetter(ah,"hitGraphEnabled",!0,(0,bve.getBooleanValidator)());var zb={};Object.defineProperty(zb,"__esModule",{value:!0});zb.FastLayer=void 0;const Ave=ir,kve=Fm,Pve=Et;class _T extends kve.Layer{constructor(t){super(t),this.listening(!1),Ave.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}zb.FastLayer=_T;_T.prototype.nodeType="FastLayer";(0,Pve._registerNode)(_T);var lh={};Object.defineProperty(lh,"__esModule",{value:!0});lh.Group=void 0;const Rve=ir,Ove=Vc,Ive=Et;class bT extends Ove.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Rve.Util.throw("You may only add groups and shapes to groups.")}}lh.Group=bT;bT.prototype.nodeType="Group";(0,Ive._registerNode)(bT);var uh={};Object.defineProperty(uh,"__esModule",{value:!0});uh.Animation=void 0;const bw=Et,V8=ir;var Sw=function(){return bw.glob.performance&&bw.glob.performance.now?function(){return bw.glob.performance.now()}:function(){return new Date().getTime()}}();class Js{constructor(t,n){this.id=Js.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Sw(),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;ithis.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,b=p.node,_=b._id,v,g=p.easing||e.Easings.Linear,y=!!p.yoyo,S;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=b,this._id=u++;var w=b.getLayer()||(b instanceof i.Konva.Stage?b.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(S,function(x){m._tweenFunc(x)},g,0,1,v*1e3,y),this._addListeners(),f.attrs[_]||(f.attrs[_]={}),f.attrs[_][this._id]||(f.attrs[_][this._id]={}),f.tweens[_]||(f.tweens[_]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var b=this.node,_=b._id,v,g,y,S,w,x,E,A;if(y=f.tweens[_][p],y&&delete f.attrs[_][y][p],v=b.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(E=v,v=t.Util._prepareArrayForTween(v,m,b.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,b.closed()))),p.indexOf("fill")===0)for(S=0;S{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,b=f.tweens[p],_;this.pause();for(_ in b)delete f.tweens[p][_];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,b){var _=1.70158;return m*(h/=b)*h*((_+1)*h-_)+p},BackEaseOut(h,p,m,b){var _=1.70158;return m*((h=h/b-1)*h*((_+1)*h+_)+1)+p},BackEaseInOut(h,p,m,b){var _=1.70158;return(h/=b/2)<1?m/2*(h*h*(((_*=1.525)+1)*h-_))+p:m/2*((h-=2)*h*(((_*=1.525)+1)*h+_)+2)+p},ElasticEaseIn(h,p,m,b,_,v){var g=0;return h===0?p:(h/=b)===1?p+m:(v||(v=b*.3),!_||_0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}Ub.Arc=pl;pl.prototype._centroid=!0;pl.prototype.className="Arc";pl.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Nve._registerNode)(pl);jb.Factory.addGetterSetter(pl,"innerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"outerRadius",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"angle",0,(0,Vb.getNumberValidator)());jb.Factory.addGetterSetter(pl,"clockwise",!1,(0,Vb.getBooleanValidator)());var Gb={},Bm={};Object.defineProperty(Bm,"__esModule",{value:!0});Bm.Line=void 0;const Hb=xt,Dve=zr,JB=He,Lve=Et;function ZC(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function H8(e,t){var n=e.length,r=[],i,o;for(i=2;i4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u{let u,c,d;u=l/2,c=0;for(let h=0;h<20;h++)d=u*e.tValues[20][h]+u,c+=e.cValues[20][h]*r(s,a,d);return u*c};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],c=a[0]-2*a[1]+a[2],d=2*s[1]-2*s[0],f=2*a[1]-2*a[0],h=4*(u*u+c*c),p=4*(u*d+c*f),m=d*d+f*f;if(h===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const b=p/(2*h),_=m/h,v=l+b,g=_-b*b,y=v*v+g>0?Math.sqrt(v*v+g):0,S=b*b+g>0?Math.sqrt(b*b+g):0,w=b+Math.sqrt(b*b+g)!==0?g*Math.log(Math.abs((v+y)/(b+S))):0;return Math.sqrt(h)/2*(v*y-b*S+w)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),c=i(1,l,a),d=u*u+c*c;return Math.sqrt(d)}const i=(s,a,l)=>{const u=l.length-1;let c,d;if(u===0)return 0;if(s===0){d=0;for(let f=0;f<=u;f++)d+=e.binomialCoefficients[u][f]*Math.pow(1-a,u-f)*Math.pow(a,f)*l[f];return d}else{c=new Array(u);for(let f=0;f{let u=1,c=s/a,d=(s-l(c))/a,f=0;for(;u>.001;){const h=l(c+d),p=Math.abs(s-h)/a;if(p500)break}return c};e.t2length=o})(ez);Object.defineProperty(ch,"__esModule",{value:!0});ch.Path=void 0;const $ve=xt,Fve=zr,Bve=Et,md=ez;class Mr extends Fve.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Mr.parsePathData(this.data()),this.pathLength=Mr.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;ic?u:c,b=u>c?1:u/c,_=u>c?c/u:1;t.translate(a,l),t.rotate(h),t.scale(b,_),t.arc(0,0,m,d,d+f,1-p),t.scale(1/b,1/_),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)f;p-=h){const m=Mr.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;pn[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 Mr.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Mr.getPointOnCubicBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.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 Mr.getPointOnQuadraticBezier((0,md.t2length)(t,Mr.getPathLength(n),m=>(0,md.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,Mr.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));i0&&!isNaN(p[0]);){var v=null,g=[],y=l,S=u,w,x,E,A,T,k,L,N,C,P;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),B=p.shift();if(l+=D,u+=B,v="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]+D,u=s[R].points[1]+B;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="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(),v="C",g.push(l,u);break;case"S":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,E=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),E=u+(u-w.points[3])),g.push(x,E,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="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(),v="Q",g.push(l,u);break;case"T":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,E,l,u);break;case"t":x=l,E=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),E=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,E,l,u);break;case"A":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break;case"a":A=p.shift(),T=p.shift(),k=p.shift(),L=p.shift(),N=p.shift(),C=l,P=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,P,l,u,L,N,A,T,k);break}s.push({command:v||h,points:g,start:{x:y,y:S},pathLength:this.calcLength(y,S,v||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=Mr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,md.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,md.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)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;l1&&(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,b=p*-l*d/a,_=(t+r)/2+Math.cos(c)*m-Math.sin(c)*b,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*b,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},y=function(T,k){return(T[0]*k[0]+T[1]*k[1])/(g(T)*g(k))},S=function(T,k){return(T[0]*k[1]=1&&(A=0),s===0&&A>0&&(A=A-2*Math.PI),s===1&&A<0&&(A=A+2*Math.PI),[_,v,a,l,w,A,c,s]}}ch.Path=Mr;Mr.prototype.className="Path";Mr.prototype._attrsAffectingSize=["data"];(0,Bve._registerNode)(Mr);$ve.Factory.addGetterSetter(Mr,"data");Object.defineProperty(Gb,"__esModule",{value:!0});Gb.Arrow=void 0;const qb=xt,zve=Bm,tz=He,Uve=Et,q8=ch;class Hc extends zve.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=q8.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=q8.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}}}Gb.Arrow=Hc;Hc.prototype.className="Arrow";(0,Uve._registerNode)(Hc);qb.Factory.addGetterSetter(Hc,"pointerLength",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerWidth",10,(0,tz.getNumberValidator)());qb.Factory.addGetterSetter(Hc,"pointerAtBeginning",!1);qb.Factory.addGetterSetter(Hc,"pointerAtEnding",!0);var Wb={};Object.defineProperty(Wb,"__esModule",{value:!0});Wb.Circle=void 0;const jve=xt,Vve=zr,Gve=He,Hve=Et;let dh=class extends Vve.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)}};Wb.Circle=dh;dh.prototype._centroid=!0;dh.prototype.className="Circle";dh.prototype._attrsAffectingSize=["radius"];(0,Hve._registerNode)(dh);jve.Factory.addGetterSetter(dh,"radius",0,(0,Gve.getNumberValidator)());var Kb={};Object.defineProperty(Kb,"__esModule",{value:!0});Kb.Ellipse=void 0;const ST=xt,qve=zr,nz=He,Wve=Et;class Ru extends qve.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)}}Kb.Ellipse=Ru;Ru.prototype.className="Ellipse";Ru.prototype._centroid=!0;Ru.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Wve._registerNode)(Ru);ST.Factory.addComponentsGetterSetter(Ru,"radius",["x","y"]);ST.Factory.addGetterSetter(Ru,"radiusX",0,(0,nz.getNumberValidator)());ST.Factory.addGetterSetter(Ru,"radiusY",0,(0,nz.getNumberValidator)());var Xb={};Object.defineProperty(Xb,"__esModule",{value:!0});Xb.Image=void 0;const ww=ir,qc=xt,Kve=zr,Xve=Et,zm=He;let wa=class rz extends Kve.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?ww.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?ww.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=ww.Util.createImageElement();i.onload=function(){var o=new rz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};Xb.Image=wa;wa.prototype.className="Image";(0,Xve._registerNode)(wa);qc.Factory.addGetterSetter(wa,"cornerRadius",0,(0,zm.getNumberOrArrayOfNumbersValidator)(4));qc.Factory.addGetterSetter(wa,"image");qc.Factory.addComponentsGetterSetter(wa,"crop",["x","y","width","height"]);qc.Factory.addGetterSetter(wa,"cropX",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropY",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropWidth",0,(0,zm.getNumberValidator)());qc.Factory.addGetterSetter(wa,"cropHeight",0,(0,zm.getNumberValidator)());var Uf={};Object.defineProperty(Uf,"__esModule",{value:!0});Uf.Tag=Uf.Label=void 0;const Qb=xt,Qve=zr,Yve=lh,wT=He,iz=Et;var oz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],Zve="Change.konva",Jve="none",JC="up",e3="right",t3="down",n3="left",e1e=oz.length;class xT extends Yve.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{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)}}Zb.RegularPolygon=Kc;Kc.prototype.className="RegularPolygon";Kc.prototype._centroid=!0;Kc.prototype._attrsAffectingSize=["radius"];(0,a1e._registerNode)(Kc);sz.Factory.addGetterSetter(Kc,"radius",0,(0,az.getNumberValidator)());sz.Factory.addGetterSetter(Kc,"sides",0,(0,az.getNumberValidator)());var Jb={};Object.defineProperty(Jb,"__esModule",{value:!0});Jb.Ring=void 0;const lz=xt,l1e=zr,uz=He,u1e=Et;var W8=Math.PI*2;class Xc extends l1e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,W8,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),W8,0,!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)}}Jb.Ring=Xc;Xc.prototype.className="Ring";Xc.prototype._centroid=!0;Xc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,u1e._registerNode)(Xc);lz.Factory.addGetterSetter(Xc,"innerRadius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(Xc,"outerRadius",0,(0,uz.getNumberValidator)());var eS={};Object.defineProperty(eS,"__esModule",{value:!0});eS.Sprite=void 0;const Qc=xt,c1e=zr,d1e=uh,cz=He,f1e=Et;class xa extends c1e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new d1e.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{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Qy;function Cw(){return Qy||(Qy=r3.Util.createCanvasElement().getContext(_1e),Qy)}function R1e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function O1e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function I1e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let vr=class extends g1e.Shape{constructor(t){super(I1e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n1&&(_+=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=r3.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(b1e,n),this}getWidth(){var t=this.attrs.width===yd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===yd||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 r3.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=Cw(),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()+Xy+this.fontVariant()+Xy+(this.fontSize()+C1e)+P1e(this.fontFamily())}_addTextLine(t){this.align()===Fh&&(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 Cw().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!==yd&&o!==void 0,l=s!==yd&&s!==void 0,u=this.padding(),c=o-u*2,d=s-u*2,f=0,h=this.wrap(),p=h!==Q8,m=h!==A1e&&p,b=this.ellipsis();this.textArr=[],Cw().font=this._getContextFont();for(var _=b?this._getTextWidth(xw):0,v=0,g=t.length;vc)for(;y.length>0;){for(var w=0,x=y.length,E="",A=0;w>>1,k=y.slice(0,T+1),L=this._getTextWidth(k)+_;L<=c?(w=T+1,E=k,A=L):x=T}if(E){if(m){var N,C=y[E.length],P=C===Xy||C===K8;P&&A<=c?N=E.length:N=Math.max(E.lastIndexOf(Xy),E.lastIndexOf(K8))+1,N>0&&(w=N,E=E.slice(0,w),A=this._getTextWidth(E))}E=E.trimRight(),this._addTextLine(E),r=Math.max(r,A),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(y=y.slice(w),y=y.trimLeft(),y.length>0&&(S=this._getTextWidth(y),S<=c)){this._addTextLine(y),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(y),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&vd)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==yd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==Q8;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==yd&&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+xw)n?null:Bh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Bh.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=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;ie+`.${_z}`).join(" "),J8="nodesRect",z1e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],U1e={"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 j1e="ontouchstart"in ms.Konva._global;function V1e(e,t){if(e==="rotater")return"crosshair";t+=hn.Util.degToRad(U1e[e]||0);var n=(hn.Util.radToDeg(t)%360+360)%360;return hn.Util._inRange(n,315+22.5,360)||hn.Util._inRange(n,0,22.5)?"ns-resize":hn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":hn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":hn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":hn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":hn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":hn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":hn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(hn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var C1=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],eR=1e8;function G1e(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 bz(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 H1e(e,t){const n=G1e(e);return bz(e,t,n)}function q1e(e,t,n){let r=t;for(let i=0;ii.isAncestorOf(this)?(hn.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(z1e.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(J8),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(J8,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=(ms.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 bz(c,-ms.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-eR,y:-eR,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 hn.Transform;r.rotate(-ms.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:ms.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(),C1.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new $1e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:j1e?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=ms.Konva.getAngle(this.rotation()),o=V1e(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 L1e.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()*hn.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=ms.Konva.getAngle(this.rotation());const C=f+N,P=ms.Konva.getAngle(this.rotationSnapTolerance()),B=q1e(this.rotationSnaps(),C,P)-d.rotation,R=H1e(d,B);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 b=this.findOne(".top-left").x()>m.x?-1:1,_=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,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 b=this.findOne(".top-right").x()m.y?-1:1;n=i*this.cos*b,r=i*this.sin*_,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.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 b=m.x{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(hn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(hn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new hn.Transform;if(s.rotate(ms.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:hn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new hn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new hn.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 hn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const b=m.decompose();d.setAttrs(b),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(hn.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(hn.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()*hn.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=""),Z8.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Y8.Node.prototype.toObject.call(this)}clone(t){var n=Y8.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}rS.Transformer=Vt;function W1e(e){return e instanceof Array||hn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){C1.indexOf(t)===-1&&hn.Util.warn("Unknown anchor name: "+t+". 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t_e(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,b,_,v,g,y,S,w,x,E,A,T,k,L,N=t+t+1,C=r-1,P=i-1,D=t+1,B=D*(D+1)/2,R=new nR,O=null,I=R,F=null,U=null,V=J1e[t],H=e_e[t];for(a=1;a>H,k!==0?(k=255/k,n[c]=(f*V>>H)*k,n[c+1]=(h*V>>H)*k,n[c+2]=(p*V>>H)*k):n[c]=n[c+1]=n[c+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=d+((l=o+t+1)>H,k>0?(k=255/k,n[l]=(f*V>>H)*k,n[l+1]=(h*V>>H)*k,n[l+2]=(p*V>>H)*k):n[l]=n[l+1]=n[l+2]=0,f-=b,h-=_,p-=v,m-=g,b-=F.r,_-=F.g,v-=F.b,g-=F.a,l=o+((l=s+D)0&&t_e(t,n)};sS.Blur=n_e;tR.Factory.addGetterSetter(Y1e.Node,"blurRadius",0,(0,Z1e.getNumberValidator)(),tR.Factory.afterSetFilter);var aS={};Object.defineProperty(aS,"__esModule",{value:!0});aS.Brighten=void 0;const rR=xt,r_e=Kn,i_e=He,o_e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i255?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};lS.Contrast=l_e;iR.Factory.addGetterSetter(s_e.Node,"contrast",0,(0,a_e.getNumberValidator)(),iR.Factory.afterSetFilter);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Emboss=void 0;const yu=xt,cS=Kn,u_e=ir,wz=He,c_e=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:u_e.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 b=f+(m-1)*4,_=s;m+_<1&&(_=0),m+_>l&&(_=0);var 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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;fi&&(i=o),l=t[f+1],la&&(a=l),d=t[f+2],dc&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,b,_,v,g,y,S,w;for(h>0?(m=i+h*(255-i),b=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),b=r+h*(r-p),_=(a+s)*.5,v=a+h*(a-_),g=s+h*(s-_),y=(c+u)*.5,S=c+h*(c-y),w=u+h*(u-y)),f=0;f_?b:_;var v=s,g=o,y,S,w=360/g*Math.PI/180,x,E;for(S=0;Sg?v:g;var y=s,S=o,w,x,E=n.polarRotation||0,A,T;for(c=0;ct&&(y=g,S=0,w=-1),i=0;i=0&&h=0&&p=0&&h=0&&p=255*4?255:0}return s}function k_e(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=0&&h=0&&p=n))for(o=m;o=r||(s=(n*o+i)*4,a+=y[s+0],l+=y[s+1],u+=y[s+2],c+=y[s+3],g+=1);for(a=a/g,l=l/g,u=u/g,c=c/g,i=h;i=n))for(o=m;o=r||(s=(n*o+i)*4,y[s+0]=a,y[s+1]=l,y[s+2]=u,y[s+3]=c)}};_S.Pixelate=L_e;uR.Factory.addGetterSetter(N_e.Node,"pixelSize",8,(0,D_e.getNumberValidator)(),uR.Factory.afterSetFilter);var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.Posterize=void 0;const cR=xt,$_e=Kn,F_e=He,B_e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});T1.Factory.addGetterSetter(RT.Node,"blue",0,z_e.RGBComponent,T1.Factory.afterSetFilter);var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.RGBA=void 0;const zg=xt,xS=Kn,j_e=He,V_e=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;a255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});zg.Factory.addGetterSetter(xS.Node,"blue",0,j_e.RGBComponent,zg.Factory.afterSetFilter);zg.Factory.addGetterSetter(xS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Sepia=void 0;const G_e=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r127&&(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)};ES.Solarize=H_e;var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Threshold=void 0;const dR=xt,q_e=Kn,W_e=He,K_e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i{const{width:r,height:i}=t,o=document.createElement("div"),s=new Uh.Stage({container:o,width:r,height:i}),a=new Uh.Layer,l=new Uh.Layer;return a.add(new Uh.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new Uh.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},Nbe=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}),pR=async(e,t)=>{const n=e.toDataURL(t);return await Nbe(n,t.width,t.height)},OT=async(e,t,n,r,i)=>{const o=pe("canvas"),s=Mb(),a=k0e();if(!s||!a){o.error("Unable to find canvas / 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O=b,I={id:PS,nodes:{[R]:{type:"main_model_loader",id:R,is_intermediate:!0,model:s},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:E},[Be]:{type:"compel",id:Be,is_intermediate:!0,prompt:i},[Ve]:{type:"compel",id:Ve,is_intermediate:!0,prompt:o},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Fe]:{type:"denoise_latents",id:Fe,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:1-c,denoising_end:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:d,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:B?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Fe,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(x==="patchmatch"&&(I.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:w}),x==="lama"&&(I.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),x==="cv2"&&(I.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),x==="tile"&&(I.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:S}),B){const F=N.width,U=N.height;I.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:F,height:U,image:t},I.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:F,height:U},I.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},I.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:k,height:L},I.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},I.nodes[we].width=F,I.nodes[we].height=U,I.nodes[gn].width=F,I.nodes[gn].height=U,I.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else 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F={id:Dr,type:"rand_int"};I.nodes[Dr]=F,I.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else I.nodes[Wn].start=f;return(A||T)&&(us(e,I,R),R=$r),cs(e,I,R),fh(e,I,Fe,R),as(e,I,Fe),e.system.shouldUseNSFWChecker&&ls(e,I,me),e.system.shouldUseWatermarker&&ds(e,I,me),I},hh=(e,t,n,r=Oi)=>{const{loras:i}=e.lora,o=k_(i),s=t.nodes[At],a=r;let l=r;[$r,$a].includes(r)&&(l=Oi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===a&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let 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g=r||Oi,{craftedPositiveStylePrompt:y,craftedNegativeStylePrompt:S}=Zc(e,!0);t.edges=t.edges.filter(w=>!(w.source.node_id===n&&["latents"].includes(w.source.field))),t.edges=t.edges.filter(w=>!(w.source.node_id===g&&["vae"].includes(w.source.field))),t.nodes[ju]={type:"sdxl_refiner_model_loader",id:ju,model:o},t.nodes[Jy]={type:"sdxl_refiner_compel_prompt",id:Jy,style:y,aesthetic_score:s},t.nodes[e0]={type:"sdxl_refiner_compel_prompt",id:e0,style:S,aesthetic_score:a},t.nodes[Gs]={type:"denoise_latents",id:Gs,cfg_scale:c,steps:l,scheduler:u,denoising_start:d,denoising_end:1},f||h?(t.nodes[Es]={id:Es,type:"seamless",seamless_x:f,seamless_y:h},t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Es,field:"unet"}},{source:{node_id:ju,field:"vae"},destination:{node_id:Es,field:"vae"}},{source:{node_id:Es,field:"unet"},destination:{node_id:Gs,field:"unet"}})):t.edges.push({source:{node_id:ju,field:"unet"},destination:{node_id:Gs,field:"unet"}}),t.edges.push({source:{node_id:ju,field:"clip2"},destination:{node_id:Jy,field:"clip2"}},{source:{node_id:ju,field:"clip2"},destination:{node_id:e0,field:"clip2"}},{source:{node_id:Jy,field:"conditioning"},destination:{node_id:Gs,field:"positive_conditioning"}},{source:{node_id:e0,field:"conditioning"},destination:{node_id:Gs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Gs,field:"latents"}}),(t.id===Mc||t.id===Nc)&&(t.nodes[$a]={type:"create_denoise_mask",id:$a,is_intermediate:!0,fp32:b},_?t.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:$a,field:"image"}}):t.nodes[$a]={...t.nodes[$a],image:i},t.edges.push({source:{node_id:_?$n:mi,field:"image"},destination:{node_id:$a,field:"mask"}},{source:{node_id:$a,field:"denoise_mask"},destination:{node_id:Gs,field:"denoise_mask"}})),t.id===RS||t.id===jg?t.edges.push({source:{node_id:Gs,field:"latents"},destination:{node_id:_?qe:me,field:"latents"}}):t.edges.push({source:{node_id:Gs,field:"latents"},destination:{node_id:qe,field:"latents"}})},Y2e=(e,t)=>{const n=pe("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,shouldUseNoiseSettings:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{shouldUseSDXLRefiner:m,refinerStart:b,sdxlImg2ImgDenoisingStrength:_,shouldConcatSDXLStylePrompt:v}=e.sdxl,{width:g,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:S,boundingBoxScaleMethod:w,shouldAutoSave:x}=e.canvas,E=u==="fp32",A=["auto","manual"].includes(w);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let T=Oi;const k=f?d:$s.shouldUseCpuNoise,{craftedPositiveStylePrompt:L,craftedNegativeStylePrompt:N}=Zc(e,v),C={id:jg,nodes:{[T]:{type:"sdxl_model_loader",id:T,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:L},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:i,style:N},[we]:{type:"noise",id:we,is_intermediate:!0,use_cpu:k,width:A?S.width:g,height:A?S.height:y},[Dn]:{type:"i2l",id:Dn,is_intermediate:!0,fp32:E},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:m?Math.min(b,1-_):1-_,denoising_end:m?b:1}},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}}]};return A?(C.nodes[ff]={id:ff,type:"img_resize",is_intermediate:!0,image:t,width:S.width,height:S.height},C.nodes[qe]={id:qe,type:"l2i",is_intermediate:!0,fp32:E},C.nodes[me]={id:me,type:"img_resize",is_intermediate:!x,width:g,height:y},C.edges.push({source:{node_id:ff,field:"image"},destination:{node_id:Dn,field:"image"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(C.nodes[me]={type:"l2i",id:me,is_intermediate:!x,fp32:E},C.nodes[Dn].image=t,C.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),C.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,width:A?S.width:g,height:A?S.height:y,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:k?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:c,strength:_,init_image:t.image_name},C.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(h||p)&&(us(e,C,T),T=$r),m&&(ph(e,C,Re,T),(h||p)&&(T=Es)),cs(e,C,T),hh(e,C,Re,T),Du(e,C),as(e,C,Re),e.system.shouldUseNSFWChecker&&ls(e,C,me),e.system.shouldUseWatermarker&&ds(e,C,me),C},Z2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,maskBlurMethod:_,canvasCoherenceMode:v,canvasCoherenceSteps:g,canvasCoherenceStrength:y,seamlessXAxis:S,seamlessYAxis:w}=e.generation,{sdxlImg2ImgDenoisingStrength:x,shouldUseSDXLRefiner:E,refinerStart:A,shouldConcatSDXLStylePrompt:T}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:L}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:N,boundingBoxScaleMethod:C,shouldAutoSave:P}=e.canvas,D=h==="fp32",B=["auto","manual"].includes(C);let R=Oi;const O=m,{craftedPositiveStylePrompt:I,craftedNegativeStylePrompt:F}=Zc(e,T),U={id:Mc,nodes:{[R]:{type:"sdxl_model_loader",id:R,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:I},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:F},[Ri]:{type:"img_blur",id:Ri,is_intermediate:!0,radius:b,blur_type:_},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:D},[we]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:D},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:E?Math.min(A,1-x):1-x,denoising_end:E?A:1},[gn]:{type:"noise",id:we,use_cpu:O,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:g,cfg_scale:a,scheduler:l,denoising_start:1-y,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:D},[me]:{type:"color_correct",id:me,is_intermediate:!P,reference:t},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:R,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:R,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:R,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:R,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:R,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(B){const V=N.width,H=N.height;U.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:V,height:H,image:t},U.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:V,height:H,image:n},U.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:k,height:L},U.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:k,height:L},U.nodes[we].width=V,U.nodes[we].height=H,U.nodes[gn].width=V,U.nodes[gn].height=H,U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Ri,field:"image"}},{source:{node_id:vi,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else U.nodes[we].width=k,U.nodes[we].height=L,U.nodes[gn].width=k,U.nodes[gn].height=L,U.nodes[Bn]={...U.nodes[Bn],image:t},U.nodes[Ri]={...U.nodes[Ri],image:n},U.nodes[Ln]={...U.nodes[Ln],image:t},U.edges.push({source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ri,field:"image"},destination:{node_id:me,field:"mask"}});if(v!=="unmasked"&&(U.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:D},B?U.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Nt,field:"image"}}):U.nodes[Nt]={...U.nodes[Nt],image:t},v==="mask"&&(B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):U.nodes[Nt]={...U.nodes[Nt],mask:n}),v==="edge"&&(U.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},B?U.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):U.nodes[lr]={...U.nodes[lr],image:n},U.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),U.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),f){const V={id:Dr,type:"rand_int"};U.nodes[Dr]=V,U.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else U.nodes[Wn].start=d;return(S||w)&&(us(e,U,R),R=$r),E&&(ph(e,U,mt,R,t),(S||w)&&(R=Es)),cs(e,U,R),hh(e,U,Re,R),as(e,U,Re),e.system.shouldUseNSFWChecker&&ls(e,U,me),e.system.shouldUseWatermarker&&ds(e,U,me),U},J2e=(e,t,n)=>{const r=pe("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:c,seed:d,shouldRandomizeSeed:f,vaePrecision:h,shouldUseNoiseSettings:p,shouldUseCpuNoise:m,maskBlur:b,canvasCoherenceMode:_,canvasCoherenceSteps:v,canvasCoherenceStrength:g,infillTileSize:y,infillPatchmatchDownscaleSize:S,infillMethod:w,seamlessXAxis:x,seamlessYAxis:E}=e.generation,{sdxlImg2ImgDenoisingStrength:A,shouldUseSDXLRefiner:T,refinerStart:k,shouldConcatSDXLStylePrompt:L}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:N,height:C}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:D,shouldAutoSave:B}=e.canvas,R=h==="fp32",O=["auto","manual"].includes(D);let I=Oi;const F=m,{craftedPositiveStylePrompt:U,craftedNegativeStylePrompt:V}=Zc(e,L),H={id:Nc,nodes:{[Oi]:{type:"sdxl_model_loader",id:Oi,model:s},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:U},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:o,style:V},[hf]:{type:"tomask",id:hf,is_intermediate:!0,image:t},[mi]:{type:"mask_combine",id:mi,is_intermediate:!0,mask2:n},[Bn]:{type:"i2l",id:Bn,is_intermediate:!0,fp32:R},[we]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ln]:{type:"create_denoise_mask",id:Ln,is_intermediate:!0,fp32:R},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:T?Math.min(k,1-A):1-A,denoising_end:T?k:1},[gn]:{type:"noise",id:we,use_cpu:F,is_intermediate:!0},[Ni]:{type:"add",id:Ni,b:1,is_intermediate:!0},[mt]:{type:"denoise_latents",id:mt,is_intermediate:!0,steps:v,cfg_scale:a,scheduler:l,denoising_start:1-g,denoising_end:1},[qe]:{type:"l2i",id:qe,is_intermediate:!0,fp32:R},[me]:{type:"color_correct",id:me,is_intermediate:!B},[Wn]:{type:"range_of_size",id:Wn,is_intermediate:!0,size:c,step:1},[rn]:{type:"iterate",id:rn,is_intermediate:!0}},edges:[{source:{node_id:Oi,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Oi,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Oi,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Bn,field:"image"}},{source:{node_id:hf,field:"image"},destination:{node_id:mi,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Bn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:O?$n:mi,field:"image"},destination:{node_id:Ln,field:"mask"}},{source:{node_id:Ln,field:"denoise_mask"},destination:{node_id:Re,field:"denoise_mask"}},{source:{node_id:Wn,field:"collection"},destination:{node_id:rn,field:"collection"}},{source:{node_id:rn,field:"item"},destination:{node_id:we,field:"seed"}},{source:{node_id:rn,field:"item"},destination:{node_id:Ni,field:"a"}},{source:{node_id:Ni,field:"value"},destination:{node_id:gn,field:"seed"}},{source:{node_id:I,field:"unet"},destination:{node_id:mt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:mt,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:mt,field:"negative_conditioning"}},{source:{node_id:gn,field:"noise"},destination:{node_id:mt,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:mt,field:"latents"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Ln,field:"image"}},{source:{node_id:mt,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(w==="patchmatch"&&(H.nodes[Bt]={type:"infill_patchmatch",id:Bt,is_intermediate:!0,downscale:S}),w==="lama"&&(H.nodes[Bt]={type:"infill_lama",id:Bt,is_intermediate:!0}),w==="cv2"&&(H.nodes[Bt]={type:"infill_cv2",id:Bt,is_intermediate:!0}),w==="tile"&&(H.nodes[Bt]={type:"infill_tile",id:Bt,is_intermediate:!0,tile_size:y}),O){const Y=P.width,Q=P.height;H.nodes[vi]={type:"img_resize",id:vi,is_intermediate:!0,width:Y,height:Q,image:t},H.nodes[$n]={type:"img_resize",id:$n,is_intermediate:!0,width:Y,height:Q},H.nodes[Mi]={type:"img_resize",id:Mi,is_intermediate:!0,width:N,height:C},H.nodes[Vl]={type:"img_resize",id:Vl,is_intermediate:!0,width:N,height:C},H.nodes[Di]={type:"img_resize",id:Di,is_intermediate:!0,width:N,height:C},H.nodes[we].width=Y,H.nodes[we].height=Q,H.nodes[gn].width=Y,H.nodes[gn].height=Q,H.edges.push({source:{node_id:vi,field:"image"},destination:{node_id:Bt,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:$n,field:"image"}},{source:{node_id:qe,field:"image"},destination:{node_id:Mi,field:"image"}},{source:{node_id:$n,field:"image"},destination:{node_id:Di,field:"image"}},{source:{node_id:Bt,field:"image"},destination:{node_id:Vl,field:"image"}},{source:{node_id:Vl,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Mi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Di,field:"image"},destination:{node_id:me,field:"mask"}})}else H.nodes[Bt]={...H.nodes[Bt],image:t},H.nodes[we].width=N,H.nodes[we].height=C,H.nodes[gn].width=N,H.nodes[gn].height=C,H.nodes[Bn]={...H.nodes[Bn],image:t},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:mi,field:"image"},destination:{node_id:me,field:"mask"}});if(_!=="unmasked"&&(H.nodes[Nt]={type:"create_denoise_mask",id:Nt,is_intermediate:!0,fp32:R},H.edges.push({source:{node_id:Bt,field:"image"},destination:{node_id:Nt,field:"image"}}),_==="mask"&&(O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:Nt,field:"mask"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:Nt,field:"mask"}})),_==="edge"&&(H.nodes[lr]={type:"mask_edge",id:lr,is_intermediate:!0,edge_blur:b,edge_size:b*2,low_threshold:100,high_threshold:200},O?H.edges.push({source:{node_id:$n,field:"image"},destination:{node_id:lr,field:"image"}}):H.edges.push({source:{node_id:mi,field:"image"},destination:{node_id:lr,field:"image"}}),H.edges.push({source:{node_id:lr,field:"image"},destination:{node_id:Nt,field:"mask"}})),H.edges.push({source:{node_id:Nt,field:"denoise_mask"},destination:{node_id:mt,field:"denoise_mask"}})),f){const Y={id:Dr,type:"rand_int"};H.nodes[Dr]=Y,H.edges.push({source:{node_id:Dr,field:"value"},destination:{node_id:Wn,field:"start"}})}else H.nodes[Wn].start=d;return(x||E)&&(us(e,H,I),I=$r),T&&(ph(e,H,mt,I,t),(x||E)&&(I=Es)),cs(e,H,I),hh(e,H,Re,I),as(e,H,Re),e.system.shouldUseNSFWChecker&&ls(e,H,me),e.system.shouldUseWatermarker&&ds(e,H,me),H},ewe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_),{shouldUseSDXLRefiner:S,refinerStart:w,shouldConcatSDXLStylePrompt:x}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=d?c:$s.shouldUseCpuNoise,A=i.model_type==="onnx";let T=A?AS:Oi;const k=A?"onnx_model_loader":"sdxl_model_loader",L=A?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:S?w:1},{craftedPositiveStylePrompt:N,craftedNegativeStylePrompt:C}=Zc(e,x),P={id:RS,nodes:{[T]:{type:k,id:T,is_intermediate:!0,model:i},[Be]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:n,style:N},[Ve]:{type:A?"prompt_onnx":"sdxl_compel_prompt",id:Ve,is_intermediate:!0,prompt:r,style:C},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:E},[L.id]:L},edges:[{source:{node_id:T,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:T,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:T,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:T,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}}]};return y?(P.nodes[qe]={id:qe,type:A?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},P.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(P.nodes[me]={type:A?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},P.edges.push({source:{node_id:Re,field:"latents"},destination:{node_id:me,field:"latents"}})),P.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:E?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},P.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(us(e,P,T),T=$r),S&&(ph(e,P,Re,T),(f||h)&&(T=Es)),hh(e,P,Re,T),cs(e,P,T),Du(e,P),as(e,P,Re),e.system.shouldUseNSFWChecker&&ls(e,P,me),e.system.shouldUseWatermarker&&ds(e,P,me),P},twe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,vaePrecision:l,clipSkip:u,shouldUseCpuNoise:c,shouldUseNoiseSettings:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:b,boundingBoxScaleMethod:_,shouldAutoSave:v}=e.canvas,g=l==="fp32",y=["auto","manual"].includes(_);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d?c:$s.shouldUseCpuNoise,w=i.model_type==="onnx";let x=w?AS:Nu;const E=w?"onnx_model_loader":"main_model_loader",A=w?{type:"t2l_onnx",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Fe,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:1},T={id:Iz,nodes:{[x]:{type:E,id:x,is_intermediate:!0,model:i},[jt]:{type:"clip_skip",id:jt,is_intermediate:!0,skipped_layers:u},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:!0,prompt:n},[Ve]:{type:w?"prompt_onnx":"compel",id:Ve,is_intermediate:!0,prompt:r},[we]:{type:"noise",id:we,is_intermediate:!0,width:y?b.width:p,height:y?b.height:m,use_cpu:S},[A.id]:A},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}}]};return y?(T.nodes[qe]={id:qe,type:w?"l2i_onnx":"l2i",is_intermediate:!0,fp32:g},T.nodes[me]={id:me,type:"img_resize",is_intermediate:!v,width:p,height:m},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}},{source:{node_id:qe,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:!v,fp32:g},T.edges.push({source:{node_id:Fe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:y?b.width:p,height:y?b.height:m,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},T.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(us(e,T,x),x=$r),cs(e,T,x),fh(e,T,Fe,x),Du(e,T),as(e,T,Fe),e.system.shouldUseNSFWChecker&&ls(e,T,me),e.system.shouldUseWatermarker&&ds(e,T,me),T},nwe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=ewe(e):i=twe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Y2e(e,n):i=K2e(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=Z2e(e,n,r):i=X2e(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=J2e(e,n,r):i=Q2e(e,n,r)}return i},rwe=()=>{xe({predicate:e=>Lm.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=pe("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await OT(s,a,l,u,c);if(!d){i.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,b=q2e(h,m);if(o.system.enableImageDebugging){const x=await wR(f),E=await wR(p);V2e([{base64:E,caption:"mask b64"},{base64:x,caption:"image b64"}])}i.debug(`Generation mode: ${b}`);let _,v;["img2img","inpaint","outpaint"].includes(b)&&(_=await n(he.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(b)&&(v=await n(he.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=nwe(o,b,_,v);i.debug({graph:pn(g)},"Canvas graph built"),n(BB(g));const{requestId:y}=n(Si({graph:g})),[S]=await r(x=>Si.fulfilled.match(x)&&x.meta.requestId===y),w=S.payload.id;["img2img","inpaint"].includes(b)&&_&&n(he.endpoints.changeImageSessionId.initiate({imageDTO:_,session_id:w})),["inpaint"].includes(b)&&v&&n(he.endpoints.changeImageSessionId.initiate({imageDTO:v,session_id:w})),o.canvas.layerState.stagingArea.boundingBox||n($ne({sessionId:w,boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(Fne(w)),n(Yc())}})},iwe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,img2imgStrength:u,shouldFitToWidthHeight:c,width:d,height:f,clipSkip:h,shouldUseCpuNoise:p,shouldUseNoiseSettings:m,vaePrecision:b,seamlessXAxis:_,seamlessYAxis:v}=e.generation;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=b==="fp32";let y=Nu;const S=m?p:$s.shouldUseCpuNoise,w={id:s3,nodes:{[y]:{type:"main_model_loader",id:y,model:i},[jt]:{type:"clip_skip",id:jt,skipped_layers:h},[Be]:{type:"compel",id:Be,prompt:n},[Ve]:{type:"compel",id:Ve,prompt:r},[we]:{type:"noise",id:we,use_cpu:S},[qe]:{type:"l2i",id:qe,fp32:g},[Fe]:{type:"denoise_latents",id:Fe,cfg_scale:o,scheduler:s,steps:a,denoising_start:1-u,denoising_end:1},[Dn]:{type:"i2l",id:Dn,fp32:g}},edges:[{source:{node_id:y,field:"unet"},destination:{node_id:Fe,field:"unet"}},{source:{node_id:y,field:"clip"},destination:{node_id:jt,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:jt,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Fe,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Fe,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Fe,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Fe,field:"latents"}},{source:{node_id:Fe,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(c&&(l.width!==d||l.height!==f)){const x={id:ea,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};w.nodes[ea]=x,w.edges.push({source:{node_id:ea,field:"image"},destination:{node_id:Dn,field:"image"}}),w.edges.push({source:{node_id:ea,field:"width"},destination:{node_id:we,field:"width"}}),w.edges.push({source:{node_id:ea,field:"height"},destination:{node_id:we,field:"height"}})}else w.nodes[Dn].image={image_name:l.imageName},w.edges.push({source:{node_id:Dn,field:"width"},destination:{node_id:we,field:"width"}}),w.edges.push({source:{node_id:Dn,field:"height"},destination:{node_id:we,field:"height"}});return w.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:S?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:h,strength:u,init_image:l.imageName},w.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:qe,field:"metadata"}}),(_||v)&&(us(e,w,y),y=$r),cs(e,w,y),fh(e,w,Fe,y),Du(e,w),as(e,w,Fe),e.system.shouldUseNSFWChecker&&ls(e,w),e.system.shouldUseWatermarker&&ds(e,w),w},owe=e=>{const t=pe("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,initialImage:l,shouldFitToWidthHeight:u,width:c,height:d,clipSkip:f,shouldUseCpuNoise:h,shouldUseNoiseSettings:p,vaePrecision:m,seamlessXAxis:b,seamlessYAxis:_}=e.generation,{positiveStylePrompt:v,negativeStylePrompt:g,shouldConcatSDXLStylePrompt:y,shouldUseSDXLRefiner:S,refinerStart:w,sdxlImg2ImgDenoisingStrength:x}=e.sdxl;if(!l)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const E=m==="fp32";let A=Oi;const T=p?h:$s.shouldUseCpuNoise,{craftedPositiveStylePrompt:k,craftedNegativeStylePrompt:L}=Zc(e,y),N={id:A1,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:i},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:n,style:k},[Ve]:{type:"sdxl_compel_prompt",id:Ve,prompt:r,style:L},[we]:{type:"noise",id:we,use_cpu:T},[qe]:{type:"l2i",id:qe,fp32:E},[Re]:{type:"denoise_latents",id:Re,cfg_scale:o,scheduler:s,steps:a,denoising_start:S?Math.min(w,1-x):1-x,denoising_end:S?w:1},[Dn]:{type:"i2l",id:Dn,fp32:E}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:Ve,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:Ve,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Ve,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:we,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Dn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Re,field:"latents"},destination:{node_id:qe,field:"latents"}}]};if(u&&(l.width!==c||l.height!==d)){const C={id:ea,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:c,height:d};N.nodes[ea]=C,N.edges.push({source:{node_id:ea,field:"image"},destination:{node_id:Dn,field:"image"}}),N.edges.push({source:{node_id:ea,field:"width"},destination:{node_id:we,field:"width"}}),N.edges.push({source:{node_id:ea,field:"height"},destination:{node_id:we,field:"height"}})}else N.nodes[Dn].image={image_name:l.imageName},N.edges.push({source:{node_id:Dn,field:"width"},destination:{node_id:we,field:"width"}}),N.edges.push({source:{node_id:Dn,field:"height"},destination:{node_id:we,field:"height"}});return N.nodes[At]={id:At,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:d,width:c,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:T?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:f,strength:x,init_image:l.imageName,positive_style_prompt:v,negative_style_prompt:g},N.edges.push({source:{node_id:At,field:"metadata"},destination:{node_id:qe,field:"metadata"}}),(b||_)&&(us(e,N,A),A=$r),S&&(ph(e,N,Re),(b||_)&&(A=Es)),cs(e,N,A),hh(e,N,Re,A),as(e,N,Re),Du(e,N),e.system.shouldUseNSFWChecker&&ls(e,N),e.system.shouldUseWatermarker&&ds(e,N),N},swe=()=>{xe({predicate:e=>Lm.match(e)&&e.payload==="img2img",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=pe("session"),o=t(),s=o.generation.model;let a;s&&s.base_model==="sdxl"?a=owe(o):a=iwe(o),n(FB(a)),i.debug({graph:pn(a)},"Image to Image graph built"),n(Si({graph:a})),await r(Si.fulfilled.match),n(Yc())}})},awe=/[$_\p{ID_Start}][$\u200c\u200d\p{ID_Continue}]*/u;function lwe(e){return e.length===1?e[0].toString():e.reduce((t,n)=>{if(typeof n=="number")return t+"["+n.toString()+"]";if(n.includes('"'))return t+'["'+uwe(n)+'"]';if(!awe.test(n))return t+'["'+n+'"]';const r=t.length===0?"":".";return t+r+n},"")}function uwe(e){return e.replace(/"/g,'\\"')}function cwe(e){return e.length!==0}const dwe=99,Mz="; ",Nz=", or ",LT="Validation error",Dz=": ";class Lz extends Error{constructor(n,r=[]){super(n);XS(this,"details");XS(this,"name");this.details=r,this.name="ZodValidationError"}toString(){return this.message}}function $T(e,t,n){if(e.code==="invalid_union")return e.unionErrors.reduce((r,i)=>{const o=i.issues.map(s=>$T(s,t,n)).join(t);return r.includes(o)||r.push(o),r},[]).join(n);if(cwe(e.path)){if(e.path.length===1){const r=e.path[0];if(typeof r=="number")return`${e.message} at index ${r}`}return`${e.message} at "${lwe(e.path)}"`}return e.message}function $z(e,t,n){return t!==null?e.length>0?[t,e].join(n):t:e.length>0?e:LT}function Y9e(e,t={}){const{issueSeparator:n=Mz,unionSeparator:r=Nz,prefixSeparator:i=Dz,prefix:o=LT}=t,s=$T(e,n,r),a=$z(s,o,i);return new Lz(a,[e])}function 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this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n{const s={};try{DR&&this.ws.send(o)}catch{}i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Wz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!i0}}class rxe extends zT{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=zwe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=Bwe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:a,value:l})=>{a||(this.onPacket(l),o())}).catch(a=>{})};o();const s={type:"open"};this.query.sid&&(s.data=`{"sid":"${this.query.sid}"}`),this.writer.write(s).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n{i&&UT(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const ixe={websocket:nxe,webtransport:rxe,polling:exe},oxe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,sxe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function c3(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=oxe.exec(e||""),o={},s=14;for(;s--;)o[sxe[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=axe(o,o.path),o.queryKey=lxe(o,o.query),o}function axe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function lxe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Qz=class Td extends kr{constructor(t,n={}){super(),this.binaryType=txe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=c3(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=c3(n.host).host),OS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=Kwe(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=Gz,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 ixe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Td.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;Td.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;Td.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",Td.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{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;r0&&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){Td.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(;rtypeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Yz=Object.prototype.toString,fxe=typeof Blob=="function"||typeof Blob<"u"&&Yz.call(Blob)==="[object BlobConstructor]",hxe=typeof File=="function"||typeof File<"u"&&Yz.call(File)==="[object FileConstructor]";function jT(e){return cxe&&(e instanceof ArrayBuffer||dxe(e))||fxe&&e instanceof Blob||hxe&&e instanceof File}function j0(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n=0&&e.num{delete this.acks[t];for(let s=0;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:It.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 It.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 It.EVENT:case It.BINARY_EVENT:this.onevent(t);break;case It.ACK:case It.BINARY_ACK:this.onack(t);break;case It.DISCONNECT:this.ondisconnect();break;case It.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:It.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:It.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;r0&&e.jitter<=1?e.jitter:0,this.attempts=0}gh.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};gh.prototype.reset=function(){this.attempts=0};gh.prototype.setMin=function(e){this.ms=e};gh.prototype.setMax=function(e){this.max=e};gh.prototype.setJitter=function(e){this.jitter=e};class h3 extends kr{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,OS(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 gh({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||bxe;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 Qz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=_s(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=_s(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(_s(t,"ping",this.onping.bind(this)),_s(t,"data",this.ondata.bind(this)),_s(t,"error",this.onerror.bind(this)),_s(t,"close",this.onclose.bind(this)),_s(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){UT(()=>{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 Zz(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;rt()),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 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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 WO(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) 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Qu={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function $j({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=T4e++,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=()=>{Qu.totalNodes=Qu.resolvedTargetDeltas=Qu.recalculatedProjection=0,this.nodes.forEach(P4e),this.nodes.forEach(N4e),this.nodes.forEach(D4e),this.nodes.forEach(R4e),x4e(Qu)},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;lthis.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=w4e(f,250),Q0.hasAnimatedSinceResize&&(Q0.hasAnimatedSinceResize=!1,this.nodes.forEach(YO))})}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()||z4e,{onLayoutAnimationStart:b,onLayoutAnimationComplete:_}=c.getProps(),v=!this.targetLayout||!Lj(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const y={...Sj(m,"layout"),onPlay:b,onComplete:_};(c.shouldReduceMotion||this.options.layoutRoot)&&(y.delay=0,y.type=!1),this.startAnimation(y)}else f||YO(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,ll(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(L4e),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;cthis.update()))}clearAllSnapshots(){this.nodes.forEach(O4e),this.sharedNodes.forEach($4e)}scheduleUpdateProjection(){En.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){En.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{const S=y/1e3;ZO(d.x,s.x,S),ZO(d.y,s.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Tp(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),F4e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&v4e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Er()),Vo(g,this.relativeTarget)),m&&(this.animationValues=c,f4e(c,u,this.latestValues,S,v,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},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&&(ll(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=En.update(()=>{Q0.hasAnimatedSinceResize=!0,this.currentAnimation=E4e(0,XO,{...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(XO),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&&Fj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Er();const d=No(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=No(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vo(a,l),Hd(a,c),Ep(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new _4e),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{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(QO),this.root.sharedNodes.clear()}}}function A4e(e){e.updateLayout()}function k4e(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"?Ws(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(f);f.min=r[d].min,f.max=f.min+h}):Fj(o,n.layoutBox,r)&&Ws(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=No(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=Gd();Ep(a,r,n.layoutBox);const l=Gd();s?Ep(l,e.applyTransform(i,!0),n.measuredBox):Ep(l,r,n.layoutBox);const u=!Dj(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=Er();Tp(p,n.layoutBox,f.layoutBox);const m=Er();Tp(m,r,h.layoutBox),Lj(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 P4e(e){Qu.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 R4e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function O4e(e){e.clearSnapshot()}function QO(e){e.clearMeasurements()}function I4e(e){e.isLayoutDirty=!1}function M4e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function YO(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function N4e(e){e.resolveTargetDelta()}function D4e(e){e.calcProjection()}function L4e(e){e.resetRotation()}function $4e(e){e.removeLeadSnapshot()}function ZO(e,t,n){e.translate=tr(t.translate,0,n),e.scale=tr(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function JO(e,t,n,r){e.min=tr(t.min,n.min,r),e.max=tr(t.max,n.max,r)}function F4e(e,t,n,r){JO(e.x,t.x,n.x,r),JO(e.y,t.y,n.y,r)}function B4e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const z4e={duration:.45,ease:[.4,0,.1,1]},eI=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),tI=eI("applewebkit/")&&!eI("chrome/")?Math.round:ur;function nI(e){e.min=tI(e.min),e.max=tI(e.max)}function U4e(e){nI(e.x),nI(e.y)}function Fj(e,t,n){return e==="position"||e==="preserve-aspect"&&!R3(qO(t),qO(n),.2)}const j4e=$j({attachResizeListener:(e,t)=>qa(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),Hw={current:void 0},Bj=$j({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!Hw.current){const e=new j4e({});e.mount(window),e.setOptions({layoutScroll:!0}),Hw.current=e}return Hw.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),V4e={pan:{Feature:o4e},drag:{Feature:i4e,ProjectionNode:Bj,MeasureLayout:Ij}},G4e=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function H4e(e){const t=G4e.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function N3(e,t,n=1){const[r,i]=H4e(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const s=o.trim();return wj(s)?parseFloat(s):s}else return x3(i)?N3(i,t,n+1):i}function q4e(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(!x3(o))return;const s=N3(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!x3(o))continue;const s=N3(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const W4e=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),zj=e=>W4e.has(e),K4e=e=>Object.keys(e).some(zj),rI=e=>e===ed||e===tt,iI=(e,t)=>parseFloat(e.split(", ")[t]),oI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return iI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?iI(o[1],e):0}},X4e=new Set(["x","y","z"]),Q4e=Gm.filter(e=>!X4e.has(e));function Y4e(e){const t=[];return Q4e.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 qf={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:oI(4,13),y:oI(5,14)};qf.translateX=qf.x;qf.translateY=qf.y;const Z4e=(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]=qf[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]=qf[u](l,o)}),e},J4e=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(zj);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=Hh(c);const f=t[l];let h;if(N1(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=Hh(c);for(let b=m;b=0?window.pageYOffset:null,u=Z4e(t,e,a);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),FS&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function eAe(e,t,n,r){return K4e(t)?J4e(e,t,n,r):{target:t,transitionEnd:r}}const tAe=(e,t,n,r)=>{const i=q4e(e,t,r);return t=i.target,r=i.transitionEnd,eAe(e,t,n,r)},D3={current:null},Uj={current:!1};function nAe(){if(Uj.current=!0,!!FS)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>D3.current=e.matches;e.addListener(t),t()}else D3.current=!1}function rAe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(yo(o))e.addValue(i,o),F1(r)&&r.add(i);else if(yo(s))e.addValue(i,Hf(o,{owner:e})),F1(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,Hf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const sI=new WeakMap,jj=Object.keys(Kg),iAe=jj.length,aI=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],oAe=r4.length;class sAe{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=()=>En.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=zS(n),this.isVariantNode=TU(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&&yo(f)&&(f.set(a[d],!1),F1(u)&&u.add(d))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,sI.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)),Uj.current||nAe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:D3.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){sI.delete(this.current),this.projection&&this.projection.unmount(),ll(this.notifyUpdate),ll(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 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0&&(t=Qm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);oV(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const Lke=[["x",["left","right"],Nke],["y",["top","bottom"],Dke]];class k4{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=A4(n),i=cV(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of Lke)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 Ap{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 $ke(e){const{EventTarget:t}=Ji(e);return e instanceof t?e:vh(e)}function Xw(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 Ho;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(Ho||(Ho={}));function mI(e){e.preventDefault()}function Fke(e){e.stopPropagation()}var xn;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(xn||(xn={}));const fV={start:[xn.Space,xn.Enter],cancel:[xn.Esc],end:[xn.Space,xn.Enter]},Bke=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case xn.Right:return{...n,x:n.x+25};case xn.Left:return{...n,x:n.x-25};case xn.Down:return{...n,y:n.y+25};case xn.Up:return{...n,y:n.y-25}}};class hV{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 Ap(vh(n)),this.windowListeners=new Ap(Ji(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(Ho.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&dV(r),n(Ls)}handleKeyDown(t){if(T4(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=fV,coordinateGetter:s=Bke,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}:Ls;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=H1(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const b=t.code,{isTop:_,isRight:v,isLeft:g,isBottom:y,maxScroll:S,minScroll:w}=uV(m),x=Mke(m),E={x:Math.min(b===xn.Right?x.right-x.width/2:x.right,Math.max(b===xn.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(b===xn.Down?x.bottom-x.height/2:x.bottom,Math.max(b===xn.Down?x.top:x.top+x.height/2,d.y))},A=b===xn.Right&&!v||b===xn.Left&&!g,T=b===xn.Down&&!y||b===xn.Up&&!_;if(A&&E.x!==d.x){const k=m.scrollLeft+f.x,L=b===xn.Right&&k<=S.x||b===xn.Left&&k>=w.x;if(L&&!f.y){m.scrollTo({left:k,behavior:a});return}L?h.x=m.scrollLeft-k:h.x=b===xn.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(T&&E.y!==d.y){const k=m.scrollTop+f.y,L=b===xn.Down&&k<=S.y||b===xn.Up&&k>=w.y;if(L&&!f.x){m.scrollTo({top:k,behavior:a});return}L?h.y=m.scrollTop-k:h.y=b===xn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,mf(H1(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()}}hV.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=fV,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 yI(e){return!!(e&&"distance"in e)}function vI(e){return!!(e&&"delay"in e)}class P4{constructor(t,n,r){var i;r===void 0&&(r=$ke(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=vh(s),this.documentListeners=new Ap(this.document),this.listeners=new Ap(r),this.windowListeners=new Ap(Ji(s)),this.initialCoordinates=(i=Jg(o))!=null?i:Ls,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(Ho.Resize,this.handleCancel),this.windowListeners.add(Ho.DragStart,mI),this.windowListeners.add(Ho.VisibilityChange,this.handleCancel),this.windowListeners.add(Ho.ContextMenu,mI),this.documentListeners.add(Ho.Keydown,this.handleKeydown),n){if(yI(n))return;if(vI(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(Ho.Click,Fke,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ho.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=Jg(t))!=null?n:Ls,u=H1(i,l);if(!r&&a){if(vI(a))return Xw(u,a.tolerance)?this.handleCancel():void 0;if(yI(a))return a.tolerance!=null&&Xw(u,a.tolerance)?this.handleCancel():Xw(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===xn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const zke={move:{name:"pointermove"},end:{name:"pointerup"}};class pV extends P4{constructor(t){const{event:n}=t,r=vh(n.target);super(t,zke,r)}}pV.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 Uke={move:{name:"mousemove"},end:{name:"mouseup"}};var G3;(function(e){e[e.RightClick=2]="RightClick"})(G3||(G3={}));class gV extends P4{constructor(t){super(t,Uke,vh(t.event.target))}}gV.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===G3.RightClick?!1:(r==null||r({event:n}),!0)}}];const Qw={move:{name:"touchmove"},end:{name:"touchend"}};class mV extends P4{constructor(t){super(t,Qw)}static setup(){return window.addEventListener(Qw.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(Qw.move.name,t)};function t(){}}}mV.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 kp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(kp||(kp={}));var W1;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(W1||(W1={}));function jke(e){let{acceleration:t,activator:n=kp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=W1.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Gke({delta:d,disabled:!o}),[p,m]=ZAe(),b=M.useRef({x:0,y:0}),_=M.useRef({x:0,y:0}),v=M.useMemo(()=>{switch(n){case kp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case kp.DraggableRect:return i}},[n,i,l]),g=M.useRef(null),y=M.useCallback(()=>{const w=g.current;if(!w)return;const x=b.current.x*_.current.x,E=b.current.y*_.current.y;w.scrollBy(x,E)},[]),S=M.useMemo(()=>a===W1.TreeOrder?[...u].reverse():u,[a,u]);M.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),E=c[x];if(!E)continue;const{direction:A,speed:T}=Ike(w,E,v,t,f);for(const k of["x","y"])h[k][A[k]]||(T[k]=0,A[k]=0);if(T.x>0||T.y>0){m(),g.current=w,p(y,s),b.current=T,_.current=A;return}}b.current={x:0,y:0},_.current={x:0,y:0},m()},[t,y,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const Vke={x:{[Jr.Backward]:!1,[Jr.Forward]:!1},y:{[Jr.Backward]:!1,[Jr.Forward]:!1}};function Gke(e){let{delta:t,disabled:n}=e;const r=G1(t);return Xm(i=>{if(n||!r||!i)return Vke;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[Jr.Backward]:i.x[Jr.Backward]||o.x===-1,[Jr.Forward]:i.x[Jr.Forward]||o.x===1},y:{[Jr.Backward]:i.y[Jr.Backward]||o.y===-1,[Jr.Forward]:i.y[Jr.Forward]||o.y===1}}},[n,t,r])}function Hke(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function qke(e,t){return M.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 tm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(tm||(tm={}));var H3;(function(e){e.Optimized="optimized"})(H3||(H3={}));const _I=new Map;function Wke(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=M.useState(null),{frequency:a,measure:l,strategy:u}=i,c=M.useRef(e),d=b(),f=Zg(d),h=M.useCallback(function(_){_===void 0&&(_=[]),!f.current&&s(v=>v===null?_:v.concat(_.filter(g=>!v.includes(g))))},[f]),p=M.useRef(null),m=Xm(_=>{if(d&&!n)return _I;if(!_||_===_I||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const y=g.node.current,S=y?new k4(l(y),y):null;g.rect.current=S,S&&v.set(g.id,S)}return v}return _},[e,o,n,d,l]);return M.useEffect(()=>{c.current=e},[e]),M.useEffect(()=>{d||h()},[n,d]),M.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),M.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function b(){switch(u){case tm.Always:return!1;case tm.BeforeDragging:return n;default:return!n}}}function R4(e,t){return Xm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function Kke(e,t){return R4(e,t)}function Xke(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function WS(e){let{callback:t,disabled:n}=e;const r=HS(t),i=M.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return M.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Qke(e){return new k4(Qm(e),e)}function bI(e,t,n){t===void 0&&(t=Qke);const[r,i]=M.useReducer(a,null),o=Xke({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=WS({callback:i});return va(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function Yke(e){const t=R4(e);return rV(e,t)}const SI=[];function Zke(e){const t=M.useRef(e),n=Xm(r=>e?r&&r!==SI&&e&&t.current&&e.parentNode===t.current.parentNode?r:A4(e):SI,[e]);return M.useEffect(()=>{t.current=e},[e]),n}function Jke(e){const[t,n]=M.useState(null),r=M.useRef(e),i=M.useCallback(o=>{const s=Kw(o.target);s&&n(a=>a?(a.set(s,V3(s)),new Map(a)):null)},[]);return M.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=Kw(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,V3(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=Kw(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),M.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>mf(o,s),Ls):cV(e):Ls,[e,t])}function wI(e,t){t===void 0&&(t=[]);const n=M.useRef(null);return M.useEffect(()=>{n.current=null},t),M.useEffect(()=>{const r=e!==Ls;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?H1(e,n.current):Ls}function e6e(e){M.useEffect(()=>{if(!GS)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function t6e(e,t){return M.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function yV(e){return M.useMemo(()=>e?kke(e):null,[e])}const Yw=[];function n6e(e,t){t===void 0&&(t=Qm);const[n]=e,r=yV(n?Ji(n):null),[i,o]=M.useReducer(a,Yw),s=WS({callback:o});return e.length>0&&i===Yw&&o(),va(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>lV(l)?r:new k4(t(l),l)):Yw}}function vV(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Km(t)?t:e}function r6e(e){let{measure:t}=e;const[n,r]=M.useState(null),i=M.useCallback(u=>{for(const{target:c}of u)if(Km(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=WS({callback:i}),s=M.useCallback(u=>{const c=vV(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=V1(s);return M.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const i6e=[{sensor:pV,options:{}},{sensor:hV,options:{}}],o6e={current:{}},Y0={draggable:{measure:gI},droppable:{measure:gI,strategy:tm.WhileDragging,frequency:H3.Optimized},dragOverlay:{measure:Qm}};class Pp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const s6e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Pp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:q1},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Y0,measureDroppableContainers:q1,windowRect:null,measuringScheduled:!1},_V={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:q1,draggableNodes:new Map,over:null,measureDroppableContainers:q1},Ym=M.createContext(_V),bV=M.createContext(s6e);function a6e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new 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Or({active:C.current,activeNode:xr,event:Gr,options:wr,context:ae,onStart(oi){const Ir=C.current;if(Ir==null)return;const hs=E.get(Ir);if(!hs)return;const{onDragStart:zs}=O.current,si={active:{id:Ir,data:hs.data,rect:L}};ws.unstable_batchedUpdates(()=>{zs==null||zs(si),S(Ol.Initializing),_({type:Lr.DragStart,initialCoordinates:oi,active:Ir}),v({type:"onDragStart",event:si})})},onMove(oi){_({type:Lr.DragMove,coordinates:oi})},onEnd:no(Lr.DragEnd),onCancel:no(Lr.DragCancel)});ws.unstable_batchedUpdates(()=>{D(xi),R(Pn.nativeEvent)});function no(oi){return async function(){const{active:hs,collisions:zs,over:si,scrollAdjustedTranslate:ml}=ae.current;let Fo=null;if(hs&&ml){const{cancelDrop:Hr}=O.current;Fo={activatorEvent:Gr,active:hs,collisions:zs,delta:ml,over:si},oi===Lr.DragEnd&&typeof Hr=="function"&&await Promise.resolve(Hr(Fo))&&(oi=Lr.DragCancel)}C.current=null,ws.unstable_batchedUpdates(()=>{_({type:oi}),S(Ol.Uninitialized),wi(null),D(null),R(null);const 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Ca=M.useMemo(()=>({active:N,activeNode:Q,activeNodeRect:ie,activatorEvent:B,collisions:Vr,containerNodeRect:ge,dragOverlay:et,draggableNodes:E,droppableContainers:T,droppableRects:V,over:un,measureDroppableContainers:H,scrollableAncestors:Tn,scrollableAncestorRects:vn,measuringConfiguration:U,measuringScheduled:Y,windowRect:_r}),[N,Q,ie,B,Vr,ge,et,E,T,V,un,H,Tn,vn,U,Y,_r]),vo=M.useMemo(()=>({activatorEvent:B,activators:to,active:N,activeNodeRect:ie,ariaDescribedById:{draggable:I},dispatch:_,draggableNodes:E,over:un,measureDroppableContainers:H}),[B,to,N,ie,_,I,E,un,H]);return mn.createElement(nV.Provider,{value:g},mn.createElement(Ym.Provider,{value:vo},mn.createElement(bV.Provider,{value:Ca},mn.createElement(KS.Provider,{value:zi},u)),mn.createElement(u6e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),mn.createElement(dke,{...a,hiddenTextDescribedById:I}));function Ea(){const Pn=(P==null?void 0:P.autoScrollEnabled)===!1,qt=typeof 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M.useContext(bV)}const m6e="Droppable",y6e={timeout:25};function SMe(e){let{data:t,disabled:n=!1,id:r,resizeObserverConfig:i}=e;const o=qS(m6e),{active:s,dispatch:a,over:l,measureDroppableContainers:u}=M.useContext(Ym),c=M.useRef({disabled:n}),d=M.useRef(!1),f=M.useRef(null),h=M.useRef(null),{disabled:p,updateMeasurementsFor:m,timeout:b}={...y6e,...i},_=Zg(m??r),v=M.useCallback(()=>{if(!d.current){d.current=!0;return}h.current!=null&&clearTimeout(h.current),h.current=setTimeout(()=>{u(Array.isArray(_.current)?_.current:[_.current]),h.current=null},b)},[b]),g=WS({callback:v,disabled:p||!s}),y=M.useCallback((E,A)=>{g&&(A&&(g.unobserve(A),d.current=!1),E&&g.observe(E))},[g]),[S,w]=V1(y),x=Zg(t);return 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S6e={position:"fixed",touchAction:"none"},w6e=e=>T4(e)?"transform 250ms ease":void 0,x6e=M.forwardRef((e,t)=>{let{as:n,activatorEvent:r,adjustScale:i,children:o,className:s,rect:a,style:l,transform:u,transition:c=w6e}=e;if(!a)return null;const d=i?u:{...u,scaleX:1,scaleY:1},f={...S6e,width:a.width,height:a.height,top:a.top,left:a.left,transform:em.Transform.toString(d),transformOrigin:i&&r?pke(r,a):void 0,transition:typeof c=="function"?c(r):c,...l};return mn.createElement(n,{className:s,style:f,ref:t},o)}),C6e=e=>t=>{let{active:n,dragOverlay:r}=t;const i={},{styles:o,className:s}=e;if(o!=null&&o.active)for(const[a,l]of Object.entries(o.active))l!==void 0&&(i[a]=n.node.style.getPropertyValue(a),n.node.style.setProperty(a,l));if(o!=null&&o.dragOverlay)for(const[a,l]of Object.entries(o.dragOverlay))l!==void 0&&r.node.style.setProperty(a,l);return s!=null&&s.active&&n.node.classList.add(s.active),s!=null&&s.dragOverlay&&r.node.classList.add(s.dragOverlay),function(){for(const[l,u]of 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Image", - "previousImage": "Previous Image", - "nextImage": "Next Image", - "useThisParameter": "Use this parameter", "copyMetadataJson": "Copy metadata JSON", "exitViewer": "Exit Viewer", - "zoomIn": "Zoom In", - "zoomOut": "Zoom Out", - "rotateCounterClockwise": "Rotate Counter-Clockwise", - "rotateClockwise": "Rotate Clockwise", "flipHorizontally": "Flip Horizontally", "flipVertically": "Flip Vertically", + "invokeProgressBar": "Invoke progress bar", + "menu": "Menu", + "modelSelect": "Model Select", "modifyConfig": "Modify Config", - "toggleAutoscroll": "Toggle autoscroll", - "toggleLogViewer": "Toggle Log Viewer", + "nextImage": "Next Image", + "previousImage": "Previous Image", + "reset": "Reset", + "rotateClockwise": "Rotate Clockwise", + "rotateCounterClockwise": "Rotate Counter-Clockwise", "showGallery": "Show Gallery", "showOptionsPanel": "Show Side Panel", - "menu": "Menu" + "toggleAutoscroll": "Toggle autoscroll", + "toggleLogViewer": "Toggle Log Viewer", + "uploadImage": "Upload Image", + "useThisParameter": "Use this parameter", + "zoomIn": "Zoom In", + "zoomOut": "Zoom Out" + }, + "boards": { + "addBoard": "Add Board", + "autoAddBoard": "Auto-Add Board", + "bottomMessage": "Deleting this board and its images will reset any features currently using them.", + "cancel": "Cancel", + "changeBoard": "Change Board", + "clearSearch": "Clear Search", + "loading": "Loading...", + "menuItemAutoAdd": "Auto-add to this Board", + "move": "Move", + "myBoard": "My Board", + "noMatching": "No matching Boards", + "searchBoard": "Search Boards...", + "selectBoard": "Select a Board", + "topMessage": "This board contains images used in the following features:", + "uncategorized": "Uncategorized" }, "common": { + "accept": "Accept", + "advanced": "Advanced", + "areYouSure": "Are you sure?", + "back": "Back", + "batch": "Batch Manager", + "cancel": "Cancel", + "close": "Close", "communityLabel": "Community", - "hotkeysLabel": "Hotkeys", + "controlNet": "Controlnet", + "ipAdapter": "IP Adapter", "darkMode": "Dark Mode", - "lightMode": "Light Mode", - "languagePickerLabel": "Language", - "reportBugLabel": "Report Bug", - "githubLabel": "Github", "discordLabel": "Discord", - "settingsLabel": "Settings", + "dontAskMeAgain": "Don't ask me again", + "generate": "Generate", + "githubLabel": "Github", + "hotkeysLabel": "Hotkeys", + "imagePrompt": "Image Prompt", + "img2img": "Image To Image", "langArabic": "العربية", - "langEnglish": "English", + "langBrPortuguese": "Português do Brasil", "langDutch": "Nederlands", + "langEnglish": "English", "langFrench": "Français", "langGerman": "Deutsch", "langHebrew": "עברית", @@ -43,377 +70,430 @@ "langKorean": "한국어", "langPolish": "Polski", "langPortuguese": "Português", - "langBrPortuguese": "Português do Brasil", "langRussian": "Русский", "langSimplifiedChinese": "简体中文", - "langUkranian": "Украї́нська", "langSpanish": "Español", - "txt2img": "Text To Image", - "img2img": "Image To Image", - "unifiedCanvas": "Unified Canvas", + "languagePickerLabel": "Language", + "langUkranian": "Украї́нська", + "lightMode": "Light Mode", "linear": "Linear", - "nodes": "Workflow Editor", - "batch": "Batch Manager", + "load": "Load", + "loading": "Loading", + "loadingInvokeAI": "Loading Invoke AI", "modelManager": "Model Manager", - "postprocessing": "Post Processing", + "nodeEditor": "Node Editor", + "nodes": "Workflow Editor", "nodesDesc": "A node based system for the generation of images is under development currently. Stay tuned for updates about this amazing feature.", - "postProcessing": "Post Processing", + "openInNewTab": "Open in New Tab", "postProcessDesc1": "Invoke AI offers a wide variety of post processing features. Image Upscaling and Face Restoration are already available in the WebUI. You can access them from the Advanced Options menu of the Text To Image and Image To Image tabs. You can also process images directly, using the image action buttons above the current image display or in the viewer.", "postProcessDesc2": "A dedicated UI will be released soon to facilitate more advanced post processing workflows.", "postProcessDesc3": "The Invoke AI Command Line Interface offers various other features including Embiggen.", - "training": "Training", - "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", - "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", - "upload": "Upload", - "close": "Close", - "cancel": "Cancel", - "accept": "Accept", - "load": "Load", - "back": "Back", + "postprocessing": "Post Processing", + "postProcessing": "Post Processing", + "random": "Random", + "reportBugLabel": "Report Bug", + "settingsLabel": "Settings", "statusConnected": "Connected", + "statusConvertingModel": "Converting Model", "statusDisconnected": "Disconnected", "statusError": "Error", - "statusPreparing": "Preparing", - "statusProcessingCanceled": "Processing Canceled", - "statusProcessingComplete": "Processing Complete", "statusGenerating": "Generating", - "statusGeneratingTextToImage": "Generating Text To Image", "statusGeneratingImageToImage": "Generating Image To Image", "statusGeneratingInpainting": "Generating Inpainting", "statusGeneratingOutpainting": "Generating Outpainting", + "statusGeneratingTextToImage": "Generating Text To Image", "statusGenerationComplete": "Generation Complete", "statusIterationComplete": "Iteration Complete", - "statusSavingImage": "Saving Image", + "statusLoadingModel": "Loading Model", + "statusMergedModels": "Models Merged", + "statusMergingModels": "Merging Models", + "statusModelChanged": "Model Changed", + "statusModelConverted": "Model Converted", + "statusPreparing": "Preparing", + "statusProcessingCanceled": "Processing Canceled", + "statusProcessingComplete": "Processing Complete", "statusRestoringFaces": "Restoring Faces", - "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", "statusRestoringFacesCodeFormer": "Restoring Faces (CodeFormer)", + "statusRestoringFacesGFPGAN": "Restoring Faces (GFPGAN)", + "statusSavingImage": "Saving Image", "statusUpscaling": "Upscaling", "statusUpscalingESRGAN": "Upscaling (ESRGAN)", - "statusLoadingModel": "Loading Model", - "statusModelChanged": "Model Changed", - "statusConvertingModel": "Converting Model", - "statusModelConverted": "Model Converted", - "statusMergingModels": "Merging Models", - "statusMergedModels": "Models Merged", - "loading": "Loading", - "loadingInvokeAI": "Loading Invoke AI", - "random": "Random", - "generate": "Generate", - "openInNewTab": "Open in New Tab", - "dontAskMeAgain": "Don't ask me again", - "areYouSure": "Are you sure?", - "imagePrompt": "Image Prompt" + "training": "Training", + "trainingDesc1": "A dedicated workflow for training your own embeddings and checkpoints using Textual Inversion and Dreambooth from the web interface.", + "trainingDesc2": "InvokeAI already supports training custom embeddourings using Textual Inversion using the main script.", + "txt2img": "Text To Image", + "unifiedCanvas": "Unified Canvas", + "upload": "Upload" + }, + "controlnet": { + "amult": "a_mult", + "autoConfigure": "Auto configure processor", + "balanced": "Balanced", + "beginEndStepPercent": "Begin / End Step Percentage", + "bgth": "bg_th", + "canny": "Canny", + "cannyDescription": "Canny edge detection", + "coarse": "Coarse", + "contentShuffle": "Content Shuffle", + "contentShuffleDescription": "Shuffles the content in an image", + "control": "Control", + "controlMode": "Control Mode", + "crop": "Crop", + "delete": "Delete", + "depthMidas": "Depth (Midas)", + "depthMidasDescription": "Depth map generation using Midas", + "depthZoe": "Depth (Zoe)", + "depthZoeDescription": "Depth map generation using Zoe", + "detectResolution": "Detect Resolution", + "duplicate": "Duplicate", + "enableControlnet": "Enable ControlNet", + "f": "F", + "fill": "Fill", + "h": "H", + "handAndFace": "Hand and Face", + "hed": "HED", + "hedDescription": "Holistically-Nested Edge Detection", + "hideAdvanced": "Hide Advanced", + "highThreshold": "High Threshold", + "imageResolution": "Image Resolution", + "importImageFromCanvas": "Import Image From Canvas", + "importMaskFromCanvas": "Import Mask From Canvas", + "incompatibleBaseModel": "Incompatible base model:", + "lineart": "Lineart", + "lineartAnime": "Lineart Anime", + "lineartAnimeDescription": "Anime-style lineart processing", + "lineartDescription": "Converts image to lineart", + "lowThreshold": "Low Threshold", + "maxFaces": "Max Faces", + "mediapipeFace": "Mediapipe Face", + "mediapipeFaceDescription": "Face detection using Mediapipe", + "megaControl": "Mega Control", + "minConfidence": "Min Confidence", + "mlsd": "M-LSD", + "mlsdDescription": "Minimalist Line Segment Detector", + "none": "None", + "noneDescription": "No processing applied", + "normalBae": "Normal BAE", + "normalBaeDescription": "Normal BAE processing", + "openPose": "Openpose", + "openPoseDescription": "Human pose estimation using Openpose", + "pidi": "PIDI", + "pidiDescription": "PIDI image processing", + "processor": "Processor", + "prompt": "Prompt", + "resetControlImage": "Reset Control Image", + "resize": "Resize", + "resizeMode": "Resize Mode", + "safe": "Safe", + "saveControlImage": "Save Control Image", + "scribble": "scribble", + "selectModel": "Select a model", + "setControlImageDimensions": "Set Control Image Dimensions To W/H", + "showAdvanced": "Show Advanced", + "toggleControlNet": "Toggle this ControlNet", + "w": "W", + "weight": "Weight", + "enableIPAdapter": "Enable IP Adapter", + "ipAdapterModel": "Adapter Model", + "resetIPAdapterImage": "Reset IP Adapter Image", + "ipAdapterImageFallback": "No IP Adapter Image Selected" + }, + "embedding": { + "addEmbedding": "Add Embedding", + "incompatibleModel": "Incompatible base model:", + "noMatchingEmbedding": "No matching Embeddings" }, "gallery": { - "generations": "Generations", - "showGenerations": "Show Generations", - "uploads": "Uploads", - "showUploads": "Show Uploads", - "galleryImageSize": "Image Size", - "galleryImageResetSize": "Reset Size", - "gallerySettings": "Gallery Settings", - "maintainAspectRatio": "Maintain Aspect Ratio", - "autoSwitchNewImages": "Auto-Switch to New Images", - "singleColumnLayout": "Single Column Layout", "allImagesLoaded": "All Images Loaded", - "loadMore": "Load More", - "noImagesInGallery": "No Images to Display", + "assets": "Assets", + "autoAssignBoardOnClick": "Auto-Assign Board on Click", + "autoSwitchNewImages": "Auto-Switch to New Images", + "copy": "Copy", + "currentlyInUse": "This image is currently in use in the following features:", "deleteImage": "Delete Image", "deleteImageBin": "Deleted images will be sent to your operating system's Bin.", "deleteImagePermanent": "Deleted images cannot be restored.", + "download": "Download", + "featuresWillReset": "If you delete this image, those features will immediately be reset.", + "galleryImageResetSize": "Reset Size", + "galleryImageSize": "Image Size", + "gallerySettings": "Gallery Settings", + "generations": "Generations", "images": "Images", - "assets": "Assets", - "autoAssignBoardOnClick": "Auto-Assign Board on Click" + "loading": "Loading", + "loadMore": "Load More", + "maintainAspectRatio": "Maintain Aspect Ratio", + "noImagesInGallery": "No Images to Display", + "setCurrentImage": "Set as Current Image", + "showGenerations": "Show Generations", + "showUploads": "Show Uploads", + "singleColumnLayout": "Single Column Layout", + "unableToLoad": "Unable to load Gallery", + "uploads": "Uploads" }, "hotkeys": { - "keyboardShortcuts": "Keyboard Shortcuts", - "appHotkeys": "App Hotkeys", - "generalHotkeys": "General Hotkeys", - "galleryHotkeys": "Gallery Hotkeys", - "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", - "nodesHotkeys": "Nodes Hotkeys", - "invoke": { - "title": "Invoke", - "desc": "Generate an image" - }, - "cancel": { - "title": "Cancel", - "desc": "Cancel image generation" - }, - "focusPrompt": { - "title": "Focus Prompt", - "desc": "Focus the prompt input area" - }, - "toggleOptions": { - "title": "Toggle Options", - "desc": "Open and close the options panel" - }, - "pinOptions": { - "title": "Pin Options", - "desc": "Pin the options panel" - }, - "toggleViewer": { - "title": "Toggle Viewer", - "desc": "Open and close Image Viewer" - }, - "toggleGallery": { - "title": "Toggle Gallery", - "desc": "Open and close the gallery drawer" - }, - "maximizeWorkSpace": { - "title": "Maximize Workspace", - "desc": "Close panels and maximize work area" - }, - "changeTabs": { - "title": "Change Tabs", - "desc": "Switch to another workspace" - }, - "consoleToggle": { - "title": "Console Toggle", - "desc": "Open and close console" - }, - "setPrompt": { - "title": "Set Prompt", - "desc": "Use the prompt of the current image" - }, - "setSeed": { - "title": "Set Seed", - "desc": "Use the seed of the current image" - }, - "setParameters": { - "title": "Set Parameters", - "desc": "Use all parameters of the current image" - }, - "restoreFaces": { - "title": "Restore Faces", - "desc": "Restore the current image" - }, - "upscale": { - "title": "Upscale", - "desc": "Upscale the current image" - }, - "showInfo": { - "title": "Show Info", - "desc": "Show metadata info of the current image" - }, - "sendToImageToImage": { - "title": "Send To Image To Image", - "desc": "Send current image to Image to Image" - }, - "deleteImage": { - "title": "Delete Image", - "desc": "Delete the current image" - }, - "closePanels": { - "title": "Close Panels", - "desc": "Closes open panels" - }, - "previousImage": { - "title": "Previous Image", - "desc": "Display the previous image in gallery" - }, - "nextImage": { - "title": "Next Image", - "desc": "Display the next image in gallery" - }, - "toggleGalleryPin": { - "title": "Toggle Gallery Pin", - "desc": "Pins and unpins the gallery to the UI" - }, - "increaseGalleryThumbSize": { - "title": "Increase Gallery Image Size", - "desc": "Increases gallery thumbnails size" - }, - "decreaseGalleryThumbSize": { - "title": "Decrease Gallery Image Size", - "desc": "Decreases gallery thumbnails size" - }, - "selectBrush": { - "title": "Select Brush", - "desc": "Selects the canvas brush" - }, - "selectEraser": { - "title": "Select Eraser", - "desc": "Selects the canvas eraser" - }, - "decreaseBrushSize": { - "title": "Decrease Brush Size", - "desc": "Decreases the size of the canvas brush/eraser" - }, - "increaseBrushSize": { - "title": "Increase Brush Size", - "desc": "Increases the size of the canvas brush/eraser" - }, - "decreaseBrushOpacity": { - "title": "Decrease Brush Opacity", - "desc": "Decreases the opacity of the canvas brush" - }, - "increaseBrushOpacity": { - "title": "Increase Brush Opacity", - "desc": "Increases the opacity of the canvas brush" - }, - "moveTool": { - "title": "Move Tool", - "desc": "Allows canvas navigation" - }, - "fillBoundingBox": { - "title": "Fill Bounding Box", - "desc": "Fills the bounding box with brush color" - }, - "eraseBoundingBox": { - "title": "Erase Bounding Box", - "desc": "Erases the bounding box area" - }, - "colorPicker": { - "title": "Select Color Picker", - "desc": "Selects the canvas color picker" - }, - "toggleSnap": { - "title": "Toggle Snap", - "desc": "Toggles Snap to Grid" - }, - "quickToggleMove": { - "title": "Quick Toggle Move", - "desc": "Temporarily toggles Move mode" - }, - "toggleLayer": { - "title": "Toggle Layer", - "desc": "Toggles mask/base layer selection" - }, - "clearMask": { - "title": "Clear Mask", - "desc": "Clear the entire mask" - }, - "hideMask": { - "title": "Hide Mask", - "desc": "Hide and unhide mask" - }, - "showHideBoundingBox": { - "title": "Show/Hide Bounding Box", - "desc": "Toggle visibility of bounding box" - }, - "mergeVisible": { - "title": "Merge Visible", - "desc": "Merge all visible layers of canvas" - }, - "saveToGallery": { - "title": "Save To Gallery", - "desc": "Save current canvas to gallery" - }, - "copyToClipboard": { - "title": "Copy to Clipboard", - "desc": "Copy current canvas to clipboard" - }, - "downloadImage": { - "title": "Download Image", - "desc": "Download current canvas" - }, - "undoStroke": { - "title": "Undo Stroke", - "desc": "Undo a brush stroke" - }, - "redoStroke": { - "title": "Redo Stroke", - "desc": "Redo a brush stroke" - }, - "resetView": { - "title": "Reset View", - "desc": "Reset Canvas View" - }, - "previousStagingImage": { - "title": "Previous Staging Image", - "desc": "Previous Staging Area Image" - }, - "nextStagingImage": { - "title": "Next Staging Image", - "desc": "Next Staging Area Image" - }, "acceptStagingImage": { - "title": "Accept Staging Image", - "desc": "Accept Current Staging Area Image" + "desc": "Accept Current Staging Area Image", + "title": "Accept Staging Image" }, "addNodes": { - "title": "Add Nodes", - "desc": "Opens the add node menu" + "desc": "Opens the add node menu", + "title": "Add Nodes" + }, + "appHotkeys": "App Hotkeys", + "cancel": { + "desc": "Cancel image generation", + "title": "Cancel" + }, + "changeTabs": { + "desc": "Switch to another workspace", + "title": "Change Tabs" + }, + "clearMask": { + "desc": "Clear the entire mask", + "title": "Clear Mask" + }, + "closePanels": { + "desc": "Closes open panels", + "title": "Close Panels" + }, + "colorPicker": { + "desc": "Selects the canvas color picker", + "title": "Select Color Picker" + }, + "consoleToggle": { + "desc": "Open and close console", + "title": "Console Toggle" + }, + "copyToClipboard": { + "desc": "Copy current canvas to clipboard", + "title": "Copy to Clipboard" + }, + "decreaseBrushOpacity": { + "desc": "Decreases the opacity of the canvas brush", + "title": "Decrease Brush Opacity" + }, + "decreaseBrushSize": { + "desc": "Decreases the size of the canvas brush/eraser", + "title": "Decrease Brush Size" + }, + "decreaseGalleryThumbSize": { + "desc": "Decreases gallery thumbnails size", + "title": "Decrease Gallery Image Size" + }, + "deleteImage": { + "desc": "Delete the current image", + "title": "Delete Image" + }, + "downloadImage": { + "desc": "Download current canvas", + "title": "Download Image" + }, + "eraseBoundingBox": { + "desc": "Erases the bounding box area", + "title": "Erase Bounding Box" + }, + "fillBoundingBox": { + "desc": "Fills the bounding box with brush color", + "title": "Fill Bounding Box" + }, + "focusPrompt": { + "desc": "Focus the prompt input area", + "title": "Focus Prompt" + }, + "galleryHotkeys": "Gallery Hotkeys", + "generalHotkeys": "General Hotkeys", + "hideMask": { + "desc": "Hide and unhide mask", + "title": "Hide Mask" + }, + "increaseBrushOpacity": { + "desc": "Increases the opacity of the canvas brush", + "title": "Increase Brush Opacity" + }, + "increaseBrushSize": { + "desc": "Increases the size of the canvas brush/eraser", + "title": "Increase Brush Size" + }, + "increaseGalleryThumbSize": { + "desc": "Increases gallery thumbnails size", + "title": "Increase Gallery Image Size" + }, + "invoke": { + "desc": "Generate an image", + "title": "Invoke" + }, + "keyboardShortcuts": "Keyboard Shortcuts", + "maximizeWorkSpace": { + "desc": "Close panels and maximize work area", + "title": "Maximize Workspace" + }, + "mergeVisible": { + "desc": "Merge all visible layers of canvas", + "title": "Merge Visible" + }, + "moveTool": { + "desc": "Allows canvas navigation", + "title": "Move Tool" + }, + "nextImage": { + "desc": "Display the next image in gallery", + "title": "Next Image" + }, + "nextStagingImage": { + "desc": "Next Staging Area Image", + "title": "Next Staging Image" + }, + "nodesHotkeys": "Nodes Hotkeys", + "pinOptions": { + "desc": "Pin the options panel", + "title": "Pin Options" + }, + "previousImage": { + "desc": "Display the previous image in gallery", + "title": "Previous Image" + }, + "previousStagingImage": { + "desc": "Previous Staging Area Image", + "title": "Previous Staging Image" + }, + "quickToggleMove": { + "desc": "Temporarily toggles Move mode", + "title": "Quick Toggle Move" + }, + "redoStroke": { + "desc": "Redo a brush stroke", + "title": "Redo Stroke" + }, + "resetView": { + "desc": "Reset Canvas View", + "title": "Reset View" + }, + "restoreFaces": { + "desc": "Restore the current image", + "title": "Restore Faces" + }, + "saveToGallery": { + "desc": "Save current canvas to gallery", + "title": "Save To Gallery" + }, + "selectBrush": { + "desc": "Selects the canvas brush", + "title": "Select Brush" + }, + "selectEraser": { + "desc": "Selects the canvas eraser", + "title": "Select Eraser" + }, + "sendToImageToImage": { + "desc": "Send current image to Image to Image", + "title": "Send To Image To Image" + }, + "setParameters": { + "desc": "Use all parameters of the current image", + "title": "Set Parameters" + }, + "setPrompt": { + "desc": "Use the prompt of the current image", + "title": "Set Prompt" + }, + "setSeed": { + "desc": "Use the seed of the current image", + "title": "Set Seed" + }, + "showHideBoundingBox": { + "desc": "Toggle visibility of bounding box", + "title": "Show/Hide Bounding Box" + }, + "showInfo": { + "desc": "Show metadata info of the current image", + "title": "Show Info" + }, + "toggleGallery": { + "desc": "Open and close the gallery drawer", + "title": "Toggle Gallery" + }, + "toggleGalleryPin": { + "desc": "Pins and unpins the gallery to the UI", + "title": "Toggle Gallery Pin" + }, + "toggleLayer": { + "desc": "Toggles mask/base layer selection", + "title": "Toggle Layer" + }, + "toggleOptions": { + "desc": "Open and close the options panel", + "title": "Toggle Options" + }, + "toggleSnap": { + "desc": "Toggles Snap to Grid", + "title": "Toggle Snap" + }, + "toggleViewer": { + "desc": "Open and close Image Viewer", + "title": "Toggle Viewer" + }, + "undoStroke": { + "desc": "Undo a brush stroke", + "title": "Undo Stroke" + }, + "unifiedCanvasHotkeys": "Unified Canvas Hotkeys", + "upscale": { + "desc": "Upscale the current image", + "title": "Upscale" } }, - "modelManager": { - "modelManager": "Model Manager", + "metadata": { + "cfgScale": "CFG scale", + "createdBy": "Created By", + "fit": "Image to image fit", + "generationMode": "Generation Mode", + "height": "Height", + "hiresFix": "High Resolution Optimization", + "imageDetails": "Image Details", + "initImage": "Initial image", + "metadata": "Metadata", "model": "Model", - "vae": "VAE", - "allModels": "All Models", - "checkpointModels": "Checkpoints", - "diffusersModels": "Diffusers", - "loraModels": "LoRAs", - "safetensorModels": "SafeTensors", - "onnxModels": "Onnx", - "oliveModels": "Olives", - "modelAdded": "Model Added", - "modelUpdated": "Model Updated", - "modelUpdateFailed": "Model Update Failed", - "modelEntryDeleted": "Model Entry Deleted", - "cannotUseSpaces": "Cannot Use Spaces", + "negativePrompt": "Negative Prompt", + "noImageDetails": "No image details found", + "noMetaData": "No metadata found", + "perlin": "Perlin Noise", + "positivePrompt": "Positive Prompt", + "scheduler": "Scheduler", + "seamless": "Seamless", + "seed": "Seed", + "steps": "Steps", + "strength": "Image to image strength", + "Threshold": "Noise Threshold", + "variations": "Seed-weight pairs", + "width": "Width", + "workflow": "Workflow" + }, + "modelManager": { + "active": "active", + "addCheckpointModel": "Add Checkpoint / Safetensor Model", + "addDifference": "Add Difference", + "addDiffuserModel": "Add Diffusers", + "addManually": "Add Manually", + "addModel": "Add Model", "addNew": "Add New", "addNewModel": "Add New Model", - "addCheckpointModel": "Add Checkpoint / Safetensor Model", - "addDiffuserModel": "Add Diffusers", - "scanForModels": "Scan For Models", - "addManually": "Add Manually", - "manual": "Manual", + "addSelected": "Add Selected", + "advanced": "Advanced", + "allModels": "All Models", + "alpha": "Alpha", + "availableModels": "Available Models", "baseModel": "Base Model", - "name": "Name", - "nameValidationMsg": "Enter a name for your model", - "description": "Description", - "descriptionValidationMsg": "Add a description for your model", + "cached": "cached", + "cannotUseSpaces": "Cannot Use Spaces", + "checkpointFolder": "Checkpoint Folder", + "checkpointModels": "Checkpoints", + "clearCheckpointFolder": "Clear Checkpoint Folder", + "closeAdvanced": "Close Advanced", "config": "Config", "configValidationMsg": "Path to the config file of your model.", - "modelLocation": "Model Location", - "modelLocationValidationMsg": "Path to where your model is located locally.", - "repo_id": "Repo ID", - "repoIDValidationMsg": "Online repository of your model", - "vaeLocation": "VAE Location", - "vaeLocationValidationMsg": "Path to where your VAE is located.", - "variant": "Variant", - "vaeRepoID": "VAE Repo ID", - "vaeRepoIDValidationMsg": "Online repository of your VAE", - "width": "Width", - "widthValidationMsg": "Default width of your model.", - "height": "Height", - "heightValidationMsg": "Default height of your model.", - "addModel": "Add Model", - "updateModel": "Update Model", - "availableModels": "Available Models", - "search": "Search", - "load": "Load", - "active": "active", - "notLoaded": "not loaded", - "cached": "cached", - "checkpointFolder": "Checkpoint Folder", - "clearCheckpointFolder": "Clear Checkpoint Folder", - "findModels": "Find Models", - "scanAgain": "Scan Again", - "modelsFound": "Models Found", - "selectFolder": "Select Folder", - "selected": "Selected", - "selectAll": "Select All", - "deselectAll": "Deselect All", - "showExisting": "Show Existing", - "addSelected": "Add Selected", - "modelExists": "Model Exists", - "selectAndAdd": "Select and Add Models Listed Below", - "noModelsFound": "No Models Found", - "delete": "Delete", - "deleteModel": "Delete Model", - "deleteConfig": "Delete Config", - "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", - "modelDeleted": "Model Deleted", - "modelDeleteFailed": "Failed to delete model", - "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", - "formMessageDiffusersModelLocation": "Diffusers Model Location", - "formMessageDiffusersModelLocationDesc": "Please enter at least one.", - "formMessageDiffusersVAELocation": "VAE Location", - "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", "convert": "Convert", + "convertingModelBegin": "Converting Model. Please wait.", "convertToDiffusers": "Convert To Diffusers", "convertToDiffusersHelpText1": "This model will be converted to the 🧨 Diffusers format.", "convertToDiffusersHelpText2": "This process will replace your Model Manager entry with the Diffusers version of the same model.", @@ -422,318 +502,634 @@ "convertToDiffusersHelpText5": "Please make sure you have enough disk space. Models generally vary between 2GB-7GB in size.", "convertToDiffusersHelpText6": "Do you wish to convert this model?", "convertToDiffusersSaveLocation": "Save Location", - "noCustomLocationProvided": "No Custom Location Provided", - "convertingModelBegin": "Converting Model. Please wait.", - "v1": "v1", - "v2_base": "v2 (512px)", - "v2_768": "v2 (768px)", - "inpainting": "v1 Inpainting", - "customConfig": "Custom Config", - "pathToCustomConfig": "Path To Custom Config", - "statusConverting": "Converting", - "modelConverted": "Model Converted", - "modelConversionFailed": "Model Conversion Failed", - "sameFolder": "Same folder", - "invokeRoot": "InvokeAI folder", "custom": "Custom", + "customConfig": "Custom Config", + "customConfigFileLocation": "Custom Config File Location", "customSaveLocation": "Custom Save Location", - "merge": "Merge", - "modelsMerged": "Models Merged", - "modelsMergeFailed": "Model Merge Failed", - "mergeModels": "Merge Models", - "modelOne": "Model 1", - "modelTwo": "Model 2", - "modelThree": "Model 3", - "mergedModelName": "Merged Model Name", - "alpha": "Alpha", - "interpolationType": "Interpolation Type", - "mergedModelSaveLocation": "Save Location", - "mergedModelCustomSaveLocation": "Custom Path", - "invokeAIFolder": "Invoke AI Folder", + "delete": "Delete", + "deleteConfig": "Delete Config", + "deleteModel": "Delete Model", + "deleteMsg1": "Are you sure you want to delete this model from InvokeAI?", + "deleteMsg2": "This WILL delete the model from disk if it is in the InvokeAI root folder. If you are using a custom location, then the model WILL NOT be deleted from disk.", + "description": "Description", + "descriptionValidationMsg": "Add a description for your model", + "deselectAll": "Deselect All", + "diffusersModels": "Diffusers", + "findModels": "Find Models", + "formMessageDiffusersModelLocation": "Diffusers Model Location", + "formMessageDiffusersModelLocationDesc": "Please enter at least one.", + "formMessageDiffusersVAELocation": "VAE Location", + "formMessageDiffusersVAELocationDesc": "If not provided, InvokeAI will look for the VAE file inside the model location given above.", + "height": "Height", + "heightValidationMsg": "Default height of your model.", "ignoreMismatch": "Ignore Mismatches Between Selected Models", + "importModels": "Import Models", + "inpainting": "v1 Inpainting", + "interpolationType": "Interpolation Type", + "inverseSigmoid": "Inverse Sigmoid", + "invokeAIFolder": "Invoke AI Folder", + "invokeRoot": "InvokeAI folder", + "load": "Load", + "loraModels": "LoRAs", + "manual": "Manual", + "merge": "Merge", + "mergedModelCustomSaveLocation": "Custom Path", + "mergedModelName": "Merged Model Name", + "mergedModelSaveLocation": "Save Location", + "mergeModels": "Merge Models", + "model": "Model", + "modelAdded": "Model Added", + "modelConversionFailed": "Model Conversion Failed", + "modelConverted": "Model Converted", + "modelDeleted": "Model Deleted", + "modelDeleteFailed": "Failed to delete model", + "modelEntryDeleted": "Model Entry Deleted", + "modelExists": "Model Exists", + "modelLocation": "Model Location", + "modelLocationValidationMsg": "Provide the path to a local folder where your Diffusers Model is stored", + "modelManager": "Model Manager", + "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeHeaderHelp1": "You can merge up to three different models to create a blend that suits your needs.", "modelMergeHeaderHelp2": "Only Diffusers are available for merging. If you want to merge a checkpoint model, please convert it to Diffusers first.", - "modelMergeAlphaHelp": "Alpha controls blend strength for the models. Lower alpha values lead to lower influence of the second model.", "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.", - "inverseSigmoid": "Inverse Sigmoid", - "sigmoid": "Sigmoid", - "weightedSum": "Weighted Sum", + "modelOne": "Model 1", + "modelsFound": "Models Found", + "modelsMerged": "Models Merged", + "modelsMergeFailed": "Model Merge Failed", + "modelsSynced": "Models Synced", + "modelSyncFailed": "Model Sync Failed", + "modelThree": "Model 3", + "modelTwo": "Model 2", + "modelType": "Model Type", + "modelUpdated": "Model Updated", + "modelUpdateFailed": "Model Update Failed", + "name": "Name", + "nameValidationMsg": "Enter a name for your model", + "noCustomLocationProvided": "No Custom Location Provided", + "noModels": "No Models Found", + "noModelsFound": "No Models Found", "none": "none", - "addDifference": "Add Difference", + "notLoaded": "not loaded", + "oliveModels": "Olives", + "onnxModels": "Onnx", + "pathToCustomConfig": "Path To Custom Config", "pickModelType": "Pick Model Type", + "predictionType": "Prediction Type (for Stable Diffusion 2.x Models only)", + "quickAdd": "Quick Add", + "repo_id": "Repo ID", + "repoIDValidationMsg": "Online repository of your model", + "safetensorModels": "SafeTensors", + "sameFolder": "Same folder", + "scanAgain": "Scan Again", + "scanForModels": "Scan For Models", + "search": "Search", + "selectAll": "Select All", + "selectAndAdd": "Select and Add Models Listed Below", + "selected": "Selected", + "selectFolder": "Select Folder", "selectModel": "Select Model", - "importModels": "Import Models", "settings": "Settings", + "showExisting": "Show Existing", + "sigmoid": "Sigmoid", + "simpleModelDesc": "Provide a path to a local Diffusers model, local checkpoint / safetensors model a HuggingFace Repo ID, or a checkpoint/diffusers model URL.", + "statusConverting": "Converting", "syncModels": "Sync Models", "syncModelsDesc": "If your models are out of sync with the backend, you can refresh them up using this option. This is generally handy in cases where you manually update your models.yaml file or add models to the InvokeAI root folder after the application has booted.", - "modelsSynced": "Models Synced", - "modelSyncFailed": "Model Sync Failed" + "updateModel": "Update Model", + "useCustomConfig": "Use Custom Config", + "v1": "v1", + "v2_768": "v2 (768px)", + "v2_base": "v2 (512px)", + "vae": "VAE", + "vaeLocation": "VAE Location", + "vaeLocationValidationMsg": "Path to where your VAE is located.", + "vaeRepoID": "VAE Repo ID", + "vaeRepoIDValidationMsg": "Online repository of your VAE", + "variant": "Variant", + "weightedSum": "Weighted Sum", + "width": "Width", + "widthValidationMsg": "Default width of your model." + }, + "models": { + "loading": "loading", + "noLoRAsAvailable": "No LoRAs available", + "noMatchingLoRAs": "No matching LoRAs", + "noMatchingModels": "No matching Models", + "noModelsAvailable": "No Modelss available", + "selectLoRA": "Select a LoRA", + "selectModel": "Select a Model" + }, + "nodes": { + "addNode": "Add Node", + "addNodeToolTip": "Add Node (Shift+A, Space)", + "animatedEdges": "Animated Edges", + "animatedEdgesHelp": "Animate selected edges and edges connected to selected nodes", + "boolean": "Booleans", + "booleanCollection": "Boolean Collection", + "booleanCollectionDescription": "A collection of booleans.", + "booleanDescription": "Booleans are true or false.", + "booleanPolymorphic": "Boolean Polymorphic", + "booleanPolymorphicDescription": "A collection of booleans.", + "cannotConnectInputToInput": "Cannot connect input to input", + "cannotConnectOutputToOutput": "Cannot connect output to output", + "cannotConnectToSelf": "Cannot connect to self", + "clipField": "Clip", + "clipFieldDescription": "Tokenizer and text_encoder submodels.", + "collection": "Collection", + "collectionDescription": "TODO", + "collectionItem": "Collection Item", + "collectionItemDescription": "TODO", + "colorCodeEdges": "Color-Code Edges", + "colorCodeEdgesHelp": "Color-code edges according to their connected fields", + "colorCollectionDescription": "A collection of colors.", + "colorField": "Color", + "colorFieldDescription": "A RGBA color.", + "colorPolymorphic": "Color Polymorphic", + "colorPolymorphicDescription": "A collection of colors.", + "conditioningCollection": "Conditioning Collection", + "conditioningCollectionDescription": "Conditioning may be passed between nodes.", + "conditioningField": "Conditioning", + "conditioningFieldDescription": "Conditioning may be passed between nodes.", + "conditioningPolymorphic": "Conditioning Polymorphic", + "conditioningPolymorphicDescription": "Conditioning may be passed between nodes.", + "connectionWouldCreateCycle": "Connection would create a cycle", + "controlCollection": "Control Collection", + "controlCollectionDescription": "Control info passed between nodes.", + "controlField": "Control", + "controlFieldDescription": "Control info passed between nodes.", + "currentImage": "Current Image", + "currentImageDescription": "Displays the current image in the Node Editor", + "denoiseMaskField": "Denoise Mask", + "denoiseMaskFieldDescription": "Denoise Mask may be passed between nodes", + "doesNotExist": "does not exist", + "downloadWorkflow": "Download Workflow JSON", + "edge": "Edge", + "enum": "Enum", + "enumDescription": "Enums are values that may be one of a number of options.", + "executionStateCompleted": "Completed", + "executionStateError": "Error", + "executionStateInProgress": "In Progress", + "fieldTypesMustMatch": "Field types must match", + "fitViewportNodes": "Fit View", + "float": "Float", + "floatCollection": "Float Collection", + "floatCollectionDescription": "A collection of floats.", + "floatDescription": "Floats are numbers with a decimal point.", + "floatPolymorphic": "Float Polymorphic", + "floatPolymorphicDescription": "A collection of floats.", + "fullyContainNodes": "Fully Contain Nodes to Select", + "fullyContainNodesHelp": "Nodes must be fully inside the selection box to be selected", + "hideGraphNodes": "Hide Graph Overlay", + "hideLegendNodes": "Hide Field Type Legend", + "hideMinimapnodes": "Hide MiniMap", + "imageCollection": "Image Collection", + "imageCollectionDescription": "A collection of images.", + "imageField": "Image", + "imageFieldDescription": "Images may be passed between nodes.", + "imagePolymorphic": "Image Polymorphic", + "imagePolymorphicDescription": "A collection of images.", + "inputFields": "Input Feilds", + "inputMayOnlyHaveOneConnection": "Input may only have one connection", + "inputNode": "Input Node", + "integer": "Integer", + "integerCollection": "Integer Collection", + "integerCollectionDescription": "A collection of integers.", + "integerDescription": "Integers are whole numbers, without a decimal point.", + "integerPolymorphic": "Integer Polymorphic", + "integerPolymorphicDescription": "A collection of integers.", + "invalidOutputSchema": "Invalid output schema", + "latentsCollection": "Latents Collection", + "latentsCollectionDescription": "Latents may be passed between nodes.", + "latentsField": "Latents", + "latentsFieldDescription": "Latents may be passed between nodes.", + "latentsPolymorphic": "Latents Polymorphic", + "latentsPolymorphicDescription": "Latents may be passed between nodes.", + "loadingNodes": "Loading Nodes...", + "loadWorkflow": "Load Workflow", + "loRAModelField": "LoRA", + "loRAModelFieldDescription": "TODO", + "mainModelField": "Model", + "mainModelFieldDescription": "TODO", + "maybeIncompatible": "May be Incompatible With Installed", + "mismatchedVersion": "Has Mismatched Version", + "missingCanvaInitImage": "Missing canvas init image", + "missingCanvaInitMaskImages": "Missing canvas init and mask images", + "missingTemplate": "Missing Template", + "noConnectionData": "No connection data", + "noConnectionInProgress": "No connection in progress", + "node": "Node", + "nodeOutputs": "Node Outputs", + "nodeSearch": "Search for nodes", + "nodeTemplate": "Node Template", + "nodeType": "Node Type", + "noFieldsLinearview": "No fields added to Linear View", + "noFieldType": "No field type", + "noImageFoundState": "No initial image found in state", + "noMatchingNodes": "No matching nodes", + "noNodeSelected": "No node selected", + "noOpacity": "Node Opacity", + "noOutputRecorded": "No outputs recorded", + "noOutputSchemaName": "No output schema name found in ref object", + "notes": "Notes", + "notesDescription": "Add notes about your workflow", + "oNNXModelField": "ONNX Model", + "oNNXModelFieldDescription": "ONNX model field.", + "outputFields": "Output Feilds", + "outputNode": "Output node", + "outputSchemaNotFound": "Output schema not found", + "pickOne": "Pick One", + "problemReadingMetadata": "Problem reading metadata from image", + "problemReadingWorkflow": "Problem reading workflow from image", + "problemSettingTitle": "Problem Setting Title", + "reloadNodeTemplates": "Reload Node Templates", + "removeLinearView": "Remove from Linear View", + "resetWorkflow": "Reset Workflow", + "resetWorkflowDesc": "Are you sure you want to reset this workflow?", + "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", + "scheduler": "Scheduler", + "schedulerDescription": "TODO", + "sDXLMainModelField": "SDXL Model", + "sDXLMainModelFieldDescription": "SDXL model field.", + "sDXLRefinerModelField": "Refiner Model", + "sDXLRefinerModelFieldDescription": "TODO", + "showGraphNodes": "Show Graph Overlay", + "showLegendNodes": "Show Field Type Legend", + "showMinimapnodes": "Show MiniMap", + "skipped": "Skipped", + "skippedReservedInput": "Skipped reserved input field", + "skippedReservedOutput": "Skipped reserved output field", + "skippingInputNoTemplate": "Skipping input field with no template", + "skippingReservedFieldType": "Skipping reserved field type", + "skippingUnknownInputType": "Skipping unknown input field type", + "skippingUnknownOutputType": "Skipping unknown output field type", + "snapToGrid": "Snap to Grid", + "snapToGridHelp": "Snap nodes to grid when moved", + "sourceNode": "Source node", + "string": "String", + "stringCollection": "String Collection", + "stringCollectionDescription": "A collection of strings.", + "stringDescription": "Strings are text.", + "stringPolymorphic": "String Polymorphic", + "stringPolymorphicDescription": "A collection of strings.", + "unableToLoadWorkflow": "Unable to Validate Workflow", + "unableToParseEdge": "Unable to parse edge", + "unableToParseNode": "Unable to parse node", + "unableToValidateWorkflow": "Unable to Validate Workflow", + "uNetField": "UNet", + "uNetFieldDescription": "UNet submodel.", + "unhandledInputProperty": "Unhandled input property", + "unhandledOutputProperty": "Unhandled output property", + "unknownField": "Unknown Field", + "unknownNode": "Unknown Node", + "unknownTemplate": "Unknown Template", + "unkownInvocation": "Unknown Invocation type", + "updateApp": "Update App", + "vaeField": "Vae", + "vaeFieldDescription": "Vae submodel.", + "vaeModelField": "VAE", + "vaeModelFieldDescription": "TODO", + "validateConnections": "Validate Connections and Graph", + "validateConnectionsHelp": "Prevent invalid connections from being made, and invalid graphs from being invoked", + "version": "Version", + "versionUnknown": " Version Unknown", + "workflow": "Workflow", + "workflowAuthor": "Author", + "workflowContact": "Contact", + "workflowDescription": "Short Description", + "workflowName": "Name", + "workflowNotes": "Notes", + "workflowSettings": "Workflow Editor Settings", + "workflowTags": "Tags", + "workflowValidation": "Workflow Validation Error", + "workflowVersion": "Version", + "zoomInNodes": "Zoom In", + "zoomOutNodes": "Zoom Out" }, "parameters": { - "general": "General", - "images": "Images", - "steps": "Steps", - "cfgScale": "CFG Scale", - "width": "Width", - "height": "Height", - "scheduler": "Scheduler", - "seed": "Seed", - "boundingBoxWidth": "Bounding Box Width", + "aspectRatio": "Ratio", + "boundingBoxHeader": "Bounding Box", "boundingBoxHeight": "Bounding Box Height", - "imageToImage": "Image to Image", - "randomizeSeed": "Randomize Seed", - "shuffle": "Shuffle Seed", - "noiseThreshold": "Noise Threshold", - "perlinNoise": "Perlin Noise", - "noiseSettings": "Noise", - "variations": "Variations", - "variationAmount": "Variation Amount", - "seedWeights": "Seed Weights", - "faceRestoration": "Face Restoration", - "restoreFaces": "Restore Faces", - "type": "Type", - "strength": "Strength", - "upscaling": "Upscaling", - "upscale": "Upscale", - "upscaleImage": "Upscale Image", + "boundingBoxWidth": "Bounding Box Width", + "cancel": { + "cancel": "Cancel", + "immediate": "Cancel immediately", + "isScheduled": "Canceling", + "schedule": "Cancel after current iteration", + "setType": "Set cancel type" + }, + "cfgScale": "CFG Scale", + "clipSkip": "CLIP Skip", + "closeViewer": "Close Viewer", + "codeformerFidelity": "Fidelity", + "coherenceMode": "Mode", + "coherencePassHeader": "Coherence Pass", + "coherenceSteps": "Steps", + "coherenceStrength": "Strength", + "compositingSettingsHeader": "Compositing Settings", + "controlNetControlMode": "Control Mode", + "copyImage": "Copy Image", + "copyImageToLink": "Copy Image To Link", "denoisingStrength": "Denoising Strength", - "scale": "Scale", - "otherOptions": "Other Options", - "seamlessTiling": "Seamless Tiling", - "seamlessXAxis": "X Axis", - "seamlessYAxis": "Y Axis", + "downloadImage": "Download Image", + "enableNoiseSettings": "Enable Noise Settings", + "faceRestoration": "Face Restoration", + "general": "General", + "height": "Height", + "hidePreview": "Hide Preview", "hiresOptim": "High Res Optimization", "hiresStrength": "High Res Strength", + "hSymmetryStep": "H Symmetry Step", "imageFit": "Fit Initial Image To Output Size", - "codeformerFidelity": "Fidelity", - "compositingSettingsHeader": "Compositing Settings", + "images": "Images", + "imageToImage": "Image to Image", + "img2imgStrength": "Image To Image Strength", + "infillMethod": "Infill Method", + "infillScalingHeader": "Infill and Scaling", + "info": "Info", + "initialImage": "Initial Image", + "invoke": { + "addingImagesTo": "Adding images to", + "invoke": "Invoke", + "missingFieldTemplate": "Missing field template", + "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input", + "missingNodeTemplate": "Missing node template", + "noControlImageForControlNet": "ControlNet {{index}} has no control image", + "noInitialImageSelected": "No initial image selected", + "noModelForControlNet": "ControlNet {{index}} has no model selected.", + "noModelSelected": "No model selected", + "noNodesInGraph": "No nodes in graph", + "readyToInvoke": "Ready to Invoke", + "systemBusy": "System busy", + "systemDisconnected": "System disconnected", + "unableToInvoke": "Unable to Invoke" + }, "maskAdjustmentsHeader": "Mask Adjustments", "maskBlur": "Blur", "maskBlurMethod": "Blur Method", - "coherencePassHeader": "Coherence Pass", - "coherenceMode": "Mode", - "coherenceSteps": "Steps", - "coherenceStrength": "Strength", - "seamLowThreshold": "Low", - "seamHighThreshold": "High", - "scaleBeforeProcessing": "Scale Before Processing", - "scaledWidth": "Scaled W", - "scaledHeight": "Scaled H", - "infillMethod": "Infill Method", - "tileSize": "Tile Size", - "patchmatchDownScaleSize": "Downscale", - "boundingBoxHeader": "Bounding Box", - "seamCorrectionHeader": "Seam Correction", - "infillScalingHeader": "Infill and Scaling", - "img2imgStrength": "Image To Image Strength", - "toggleLoopback": "Toggle Loopback", - "symmetry": "Symmetry", - "hSymmetryStep": "H Symmetry Step", - "vSymmetryStep": "V Symmetry Step", - "invoke": "Invoke", - "cancel": { - "immediate": "Cancel immediately", - "schedule": "Cancel after current iteration", - "isScheduled": "Canceling", - "setType": "Set cancel type" - }, - "positivePromptPlaceholder": "Positive Prompt", "negativePromptPlaceholder": "Negative Prompt", + "noiseSettings": "Noise", + "noiseThreshold": "Noise Threshold", + "openInViewer": "Open In Viewer", + "otherOptions": "Other Options", + "patchmatchDownScaleSize": "Downscale", + "perlinNoise": "Perlin Noise", + "positivePromptPlaceholder": "Positive Prompt", + "randomizeSeed": "Randomize Seed", + "restoreFaces": "Restore Faces", + "scale": "Scale", + "scaleBeforeProcessing": "Scale Before Processing", + "scaledHeight": "Scaled H", + "scaledWidth": "Scaled W", + "scheduler": "Scheduler", + "seamCorrectionHeader": "Seam Correction", + "seamHighThreshold": "High", + "seamlessTiling": "Seamless Tiling", + "seamlessXAxis": "X Axis", + "seamlessYAxis": "Y Axis", + "seamLowThreshold": "Low", + "seed": "Seed", + "seedWeights": "Seed Weights", "sendTo": "Send to", "sendToImg2Img": "Send to Image to Image", "sendToUnifiedCanvas": "Send To Unified Canvas", - "copyImage": "Copy Image", - "copyImageToLink": "Copy Image To Link", - "downloadImage": "Download Image", - "openInViewer": "Open In Viewer", - "closeViewer": "Close Viewer", + "showOptionsPanel": "Show Options Panel", + "showPreview": "Show Preview", + "shuffle": "Shuffle Seed", + "steps": "Steps", + "strength": "Strength", + "symmetry": "Symmetry", + "tileSize": "Tile Size", + "toggleLoopback": "Toggle Loopback", + "type": "Type", + "upscale": "Upscale", + "upscaleImage": "Upscale Image", + "upscaling": "Upscaling", + "useAll": "Use All", + "useCpuNoise": "Use CPU Noise", + "useInitImg": "Use Initial Image", "usePrompt": "Use Prompt", "useSeed": "Use Seed", - "useAll": "Use All", - "useInitImg": "Use Initial Image", - "info": "Info", - "initialImage": "Initial Image", - "showOptionsPanel": "Show Options Panel", - "hidePreview": "Hide Preview", - "showPreview": "Show Preview", - "controlNetControlMode": "Control Mode", - "clipSkip": "CLIP Skip", - "aspectRatio": "Ratio" + "variationAmount": "Variation Amount", + "variations": "Variations", + "vSymmetryStep": "V Symmetry Step", + "width": "Width" + }, + "prompt": { + "combinatorial": "Combinatorial Generation", + "dynamicPrompts": "Dynamic Prompts", + "enableDynamicPrompts": "Enable Dynamic Prompts", + "maxPrompts": "Max Prompts" + }, + "sdxl": { + "cfgScale": "CFG Scale", + "concatPromptStyle": "Concatenate Prompt & Style", + "denoisingStrength": "Denoising Strength", + "loading": "Loading...", + "negAestheticScore": "Negative Aesthetic Score", + "negStylePrompt": "Negative Style Prompt", + "noModelsAvailable": "No models available", + "posAestheticScore": "Positive Aesthetic Score", + "posStylePrompt": "Positive Style Prompt", + "refiner": "Refiner", + "refinermodel": "Refiner Model", + "refinerStart": "Refiner Start", + "scheduler": "Scheduler", + "selectAModel": "Select a model", + "steps": "Steps", + "useRefiner": "Use Refiner" }, "settings": { - "models": "Models", - "displayInProgress": "Display Progress Images", - "saveSteps": "Save images every n steps", - "confirmOnDelete": "Confirm On Delete", - "displayHelpIcons": "Display Help Icons", "alternateCanvasLayout": "Alternate Canvas Layout", - "enableNodesEditor": "Enable Nodes Editor", - "enableImageDebugging": "Enable Image Debugging", - "useSlidersForAll": "Use Sliders For All Options", - "showProgressInViewer": "Show Progress Images in Viewer", "antialiasProgressImages": "Antialias Progress Images", "autoChangeDimensions": "Update W/H To Model Defaults On Change", + "beta": "Beta", + "confirmOnDelete": "Confirm On Delete", + "consoleLogLevel": "Log Level", + "developer": "Developer", + "displayHelpIcons": "Display Help Icons", + "displayInProgress": "Display Progress Images", + "enableImageDebugging": "Enable Image Debugging", + "enableNodesEditor": "Enable Nodes Editor", + "experimental": "Experimental", + "favoriteSchedulers": "Favorite Schedulers", + "favoriteSchedulersPlaceholder": "No schedulers favorited", + "general": "General", + "generation": "Generation", + "models": "Models", + "resetComplete": "Web UI has been reset.", "resetWebUI": "Reset Web UI", "resetWebUIDesc1": "Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk.", "resetWebUIDesc2": "If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub.", - "resetComplete": "Web UI has been reset.", - "consoleLogLevel": "Log Level", + "saveSteps": "Save images every n steps", "shouldLogToConsole": "Console Logging", - "developer": "Developer", - "general": "General", - "generation": "Generation", - "ui": "User Interface", - "favoriteSchedulers": "Favorite Schedulers", - "favoriteSchedulersPlaceholder": "No schedulers favorited", "showAdvancedOptions": "Show Advanced Options", - "experimental": "Experimental", - "beta": "Beta" + "showProgressInViewer": "Show Progress Images in Viewer", + "ui": "User Interface", + "useSlidersForAll": "Use Sliders For All Options" }, "toast": { - "serverError": "Server Error", - "disconnected": "Disconnected from Server", - "connected": "Connected to Server", + "addedToBoard": "Added to board", + "baseModelChangedCleared": "Base model changed, cleared", "canceled": "Processing Canceled", - "tempFoldersEmptied": "Temp Folder Emptied", - "uploadFailed": "Upload failed", - "uploadFailedUnableToLoadDesc": "Unable to load file", - "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "canvasCopiedClipboard": "Canvas Copied to Clipboard", + "canvasDownloaded": "Canvas Downloaded", + "canvasMerged": "Canvas Merged", + "canvasSavedGallery": "Canvas Saved to Gallery", + "canvasSentControlnetAssets": "Canvas Sent to ControlNet & Assets", + "connected": "Connected to Server", + "disconnected": "Disconnected from Server", "downloadImageStarted": "Image Download Started", + "faceRestoreFailed": "Face Restoration Failed", "imageCopied": "Image Copied", - "problemCopyingImage": "Unable to Copy Image", "imageLinkCopied": "Image Link Copied", - "problemCopyingImageLink": "Unable to Copy Image Link", "imageNotLoaded": "No Image Loaded", "imageNotLoadedDesc": "Could not find image", + "imageSaved": "Image Saved", "imageSavedToGallery": "Image Saved to Gallery", - "canvasMerged": "Canvas Merged", - "sentToImageToImage": "Sent To Image To Image", - "sentToUnifiedCanvas": "Sent to Unified Canvas", - "parameterSet": "Parameter set", - "parameterNotSet": "Parameter not set", - "parametersSet": "Parameters Set", - "parametersNotSet": "Parameters Not Set", - "parametersNotSetDesc": "No metadata found for this image.", - "parametersFailed": "Problem loading parameters", - "parametersFailedDesc": "Unable to load init image.", - "seedSet": "Seed Set", - "seedNotSet": "Seed Not Set", - "seedNotSetDesc": "Could not find seed for this image.", - "promptSet": "Prompt Set", - "promptNotSet": "Prompt Not Set", - "promptNotSetDesc": "Could not find prompt for this image.", - "upscalingFailed": "Upscaling Failed", - "faceRestoreFailed": "Face Restoration Failed", - "metadataLoadFailed": "Failed to load metadata", - "initialImageSet": "Initial Image Set", + "imageSavingFailed": "Image Saving Failed", + "imageUploaded": "Image Uploaded", + "imageUploadFailed": "Image Upload Failed", + "incompatibleSubmodel": "incompatible submodel", "initialImageNotSet": "Initial Image Not Set", "initialImageNotSetDesc": "Could not load initial image", - "nodesSaved": "Nodes Saved", + "initialImageSet": "Initial Image Set", + "loadedWithWarnings": "Workflow Loaded with Warnings", + "maskSavedAssets": "Mask Saved to Assets", + "maskSentControlnetAssets": "Mask Sent to ControlNet & Assets", + "metadataLoadFailed": "Failed to load metadata", + "modelAdded": "Model Added: {{modelName}}", + "modelAddedSimple": "Model Added", + "modelAddFailed": "Model Add Failed", + "nodesBrokenConnections": "Cannot load. Some connections are broken.", + "nodesCleared": "Nodes Cleared", + "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", "nodesLoaded": "Nodes Loaded", + "nodesLoadedFailed": "Failed To Load Nodes", "nodesNotValidGraph": "Not a valid InvokeAI Node Graph", "nodesNotValidJSON": "Not a valid JSON", - "nodesCorruptedGraph": "Cannot load. Graph seems to be corrupted.", + "nodesSaved": "Nodes Saved", "nodesUnrecognizedTypes": "Cannot load. Graph has unrecognized types", - "nodesBrokenConnections": "Cannot load. Some connections are broken.", - "nodesLoadedFailed": "Failed To Load Nodes", - "nodesCleared": "Nodes Cleared" + "parameterNotSet": "Parameter not set", + "parameterSet": "Parameter set", + "parametersFailed": "Problem loading parameters", + "parametersFailedDesc": "Unable to load init image.", + "parametersNotSet": "Parameters Not Set", + "parametersNotSetDesc": "No metadata found for this image.", + "parametersSet": "Parameters Set", + "problemCopyingCanvas": "Problem Copying Canvas", + "problemCopyingCanvasDesc": "Unable to export base layer", + "problemCopyingImage": "Unable to Copy Image", + "problemCopyingImageLink": "Unable to Copy Image Link", + "problemDownloadingCanvas": "Problem Downloading Canvas", + "problemDownloadingCanvasDesc": "Unable to export base layer", + "problemImportingMask": "Problem Importing Mask", + "problemImportingMaskDesc": "Unable to export mask", + "problemMergingCanvas": "Problem Merging Canvas", + "problemMergingCanvasDesc": "Unable to export base layer", + "problemSavingCanvas": "Problem Saving Canvas", + "problemSavingCanvasDesc": "Unable to export base layer", + "problemSavingMask": "Problem Saving Mask", + "problemSavingMaskDesc": "Unable to export mask", + "promptNotSet": "Prompt Not Set", + "promptNotSetDesc": "Could not find prompt for this image.", + "promptSet": "Prompt Set", + "seedNotSet": "Seed Not Set", + "seedNotSetDesc": "Could not find seed for this image.", + "seedSet": "Seed Set", + "sentToImageToImage": "Sent To Image To Image", + "sentToUnifiedCanvas": "Sent to Unified Canvas", + "serverError": "Server Error", + "setCanvasInitialImage": "Set as canvas initial image", + "setControlImage": "Set as control image", + "setIPAdapterImage": "Set as IP Adapter Image", + "setInitialImage": "Set as initial image", + "setNodeField": "Set as node field", + "tempFoldersEmptied": "Temp Folder Emptied", + "uploadFailed": "Upload failed", + "uploadFailedInvalidUploadDesc": "Must be single PNG or JPEG image", + "uploadFailedUnableToLoadDesc": "Unable to load file", + "upscalingFailed": "Upscaling Failed", + "workflowLoaded": "Workflow Loaded" }, "tooltip": { "feature": { - "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", - "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", - "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", - "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", - "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3.", - "upscale": "Use ESRGAN to enlarge the image immediately after generation.", - "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", - "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", "boundingBox": "The bounding box is the same as the Width and Height settings for Text to Image or Image to Image. Only the area in the box will be processed.", + "faceCorrection": "Face correction with GFPGAN or Codeformer: the algorithm detects faces in the image and corrects any defects. High value will change the image more, resulting in more attractive faces. Codeformer with a higher fidelity preserves the original image at the expense of stronger face correction.", + "gallery": "Gallery displays generations from the outputs folder as they're created. Settings are stored within files and accesed by context menu.", + "imageToImage": "Image to Image loads any image as initial, which is then used to generate a new one along with the prompt. The higher the value, the more the result image will change. Values from 0.0 to 1.0 are possible, the recommended range is .25-.75", + "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes).", + "other": "These options will enable alternative processing modes for Invoke. 'Seamless tiling' will create repeating patterns in the output. 'High resolution' is generation in two steps with img2img: use this setting when you want a larger and more coherent image without artifacts. It will take longer than usual txt2img.", + "prompt": "This is the prompt field. Prompt includes generation objects and stylistic terms. You can add weight (token importance) in the prompt as well, but CLI commands and parameters will not work.", "seamCorrection": "Controls the handling of visible seams that occur between generated images on the canvas.", - "infillAndScaling": "Manage infill methods (used on masked or erased areas of the canvas) and scaling (useful for small bounding box sizes)." + "seed": "Seed value affects the initial noise from which the image is formed. You can use the already existing seeds from previous images. 'Noise Threshold' is used to mitigate artifacts at high CFG values (try the 0-10 range), and Perlin to add Perlin noise during generation: both serve to add variation to your outputs.", + "upscale": "Use ESRGAN to enlarge the image immediately after generation.", + "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3." } }, + "ui": { + "hideProgressImages": "Hide Progress Images", + "lockRatio": "Lock Ratio", + "showProgressImages": "Show Progress Images", + "swapSizes": "Swap Sizes" + }, "unifiedCanvas": { - "layer": "Layer", - "base": "Base", - "mask": "Mask", - "maskingOptions": "Masking Options", - "enableMask": "Enable Mask", - "preserveMaskedArea": "Preserve Masked Area", - "clearMask": "Clear Mask", - "brush": "Brush", - "eraser": "Eraser", - "fillBoundingBox": "Fill Bounding Box", - "eraseBoundingBox": "Erase Bounding Box", - "colorPicker": "Color Picker", - "brushOptions": "Brush Options", - "brushSize": "Size", - "move": "Move", - "resetView": "Reset View", - "mergeVisible": "Merge Visible", - "saveToGallery": "Save To Gallery", - "copyToClipboard": "Copy to Clipboard", - "downloadAsImage": "Download As Image", - "undo": "Undo", - "redo": "Redo", - "clearCanvas": "Clear Canvas", - "canvasSettings": "Canvas Settings", - "showIntermediates": "Show Intermediates", - "showGrid": "Show Grid", - "snapToGrid": "Snap to Grid", - "darkenOutsideSelection": "Darken Outside Selection", - "autoSaveToGallery": "Auto Save to Gallery", - "saveBoxRegionOnly": "Save Box Region Only", - "limitStrokesToBox": "Limit Strokes to Box", - "showCanvasDebugInfo": "Show Additional Canvas Info", - "clearCanvasHistory": "Clear Canvas History", - "clearHistory": "Clear History", - "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", - "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", - "emptyTempImageFolder": "Empty Temp Image Folder", - "emptyFolder": "Empty Folder", - "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", - "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", - "activeLayer": "Active Layer", - "canvasScale": "Canvas Scale", - "boundingBox": "Bounding Box", - "scaledBoundingBox": "Scaled Bounding Box", - "boundingBoxPosition": "Bounding Box Position", - "canvasDimensions": "Canvas Dimensions", - "canvasPosition": "Canvas Position", - "cursorPosition": "Cursor Position", - "previous": "Previous", - "next": "Next", "accept": "Accept", - "showHide": "Show/Hide", - "discardAll": "Discard All", + "activeLayer": "Active Layer", + "antialiasing": "Antialiasing", + "autoSaveToGallery": "Auto Save to Gallery", + "base": "Base", "betaClear": "Clear", "betaDarkenOutside": "Darken Outside", "betaLimitToBox": "Limit To Box", "betaPreserveMasked": "Preserve Masked", - "antialiasing": "Antialiasing" - }, - "ui": { - "showProgressImages": "Show Progress Images", - "hideProgressImages": "Hide Progress Images", - "swapSizes": "Swap Sizes", - "lockRatio": "Lock Ratio" - }, - "nodes": { - "reloadNodeTemplates": "Reload Node Templates", - "downloadWorkflow": "Download Workflow JSON", - "loadWorkflow": "Load Workflow", - "resetWorkflow": "Reset Workflow", - "resetWorkflowDesc": "Are you sure you want to reset this workflow?", - "resetWorkflowDesc2": "Resetting the workflow will clear all nodes, edges and workflow details.", - "zoomInNodes": "Zoom In", - "zoomOutNodes": "Zoom Out", - "fitViewportNodes": "Fit View", - "hideGraphNodes": "Hide Graph Overlay", - "showGraphNodes": "Show Graph Overlay", - "hideLegendNodes": "Hide Field Type Legend", - "showLegendNodes": "Show Field Type Legend", - "hideMinimapnodes": "Hide MiniMap", - "showMinimapnodes": "Show MiniMap" + "boundingBox": "Bounding Box", + "boundingBoxPosition": "Bounding Box Position", + "brush": "Brush", + "brushOptions": "Brush Options", + "brushSize": "Size", + "canvasDimensions": "Canvas Dimensions", + "canvasPosition": "Canvas Position", + "canvasScale": "Canvas Scale", + "canvasSettings": "Canvas Settings", + "clearCanvas": "Clear Canvas", + "clearCanvasHistory": "Clear Canvas History", + "clearCanvasHistoryConfirm": "Are you sure you want to clear the canvas history?", + "clearCanvasHistoryMessage": "Clearing the canvas history leaves your current canvas intact, but irreversibly clears the undo and redo history.", + "clearHistory": "Clear History", + "clearMask": "Clear Mask", + "colorPicker": "Color Picker", + "copyToClipboard": "Copy to Clipboard", + "cursorPosition": "Cursor Position", + "darkenOutsideSelection": "Darken Outside Selection", + "discardAll": "Discard All", + "downloadAsImage": "Download As Image", + "emptyFolder": "Empty Folder", + "emptyTempImageFolder": "Empty Temp Image Folder", + "emptyTempImagesFolderConfirm": "Are you sure you want to empty the temp folder?", + "emptyTempImagesFolderMessage": "Emptying the temp image folder also fully resets the Unified Canvas. This includes all undo/redo history, images in the staging area, and the canvas base layer.", + "enableMask": "Enable Mask", + "eraseBoundingBox": "Erase Bounding Box", + "eraser": "Eraser", + "fillBoundingBox": "Fill Bounding Box", + "layer": "Layer", + "limitStrokesToBox": "Limit Strokes to Box", + "mask": "Mask", + "maskingOptions": "Masking Options", + "mergeVisible": "Merge Visible", + "move": "Move", + "next": "Next", + "preserveMaskedArea": "Preserve Masked Area", + "previous": "Previous", + "redo": "Redo", + "resetView": "Reset View", + "saveBoxRegionOnly": "Save Box Region Only", + "saveToGallery": "Save To Gallery", + "scaledBoundingBox": "Scaled Bounding Box", + "showCanvasDebugInfo": "Show Additional Canvas Info", + "showGrid": "Show Grid", + "showHide": "Show/Hide", + "showIntermediates": "Show Intermediates", + "snapToGrid": "Snap to Grid", + "undo": "Undo" } } diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index d846f3ca47..c309e4de50 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -13,14 +13,15 @@ "reset": "Reset", "rotateClockwise": "Rotate Clockwise", "rotateCounterClockwise": "Rotate Counter-Clockwise", - "showGallery": "Show Gallery", + "showGalleryPanel": "Show Gallery Panel", "showOptionsPanel": "Show Side Panel", "toggleAutoscroll": "Toggle autoscroll", "toggleLogViewer": "Toggle Log Viewer", "uploadImage": "Upload Image", "useThisParameter": "Use this parameter", "zoomIn": "Zoom In", - "zoomOut": "Zoom Out" + "zoomOut": "Zoom Out", + "loadMore": "Load More" }, "boards": { "addBoard": "Add Board", @@ -49,6 +50,7 @@ "close": "Close", "communityLabel": "Community", "controlNet": "Controlnet", + "ipAdapter": "IP Adapter", "darkMode": "Dark Mode", "discordLabel": "Discord", "dontAskMeAgain": "Don't ask me again", @@ -109,6 +111,7 @@ "statusModelChanged": "Model Changed", "statusModelConverted": "Model Converted", "statusPreparing": "Preparing", + "statusProcessing": "Processing", "statusProcessingCanceled": "Processing Canceled", "statusProcessingComplete": "Processing Complete", "statusRestoringFaces": "Restoring Faces", @@ -191,13 +194,76 @@ "showAdvanced": "Show Advanced", "toggleControlNet": "Toggle this ControlNet", "w": "W", - "weight": "Weight" + "weight": "Weight", + "enableIPAdapter": "Enable IP Adapter", + "ipAdapterModel": "Adapter Model", + "resetIPAdapterImage": "Reset IP Adapter Image", + "ipAdapterImageFallback": "No IP Adapter Image Selected" }, "embedding": { "addEmbedding": "Add Embedding", "incompatibleModel": "Incompatible base model:", "noMatchingEmbedding": "No matching Embeddings" }, + "queue": { + "queue": "Queue", + "queueFront": "Add to Front of Queue", + "queueBack": "Add to Queue", + "queueCountPrediction": "Add {{predicted}} to Queue", + "queueMaxExceeded": "Max of {{max_queue_size}} exceeded, would skip {{skip}}", + "queuedCount": "{{pending}} Pending", + "queueTotal": "{{total}} Total", + "queueEmpty": "Queue Empty", + "enqueueing": "Queueing Batch", + "resume": "Resume", + "resumeTooltip": "Resume Processor", + "resumeSucceeded": "Processor Resumed", + "resumeFailed": "Problem Resuming Processor", + "pause": "Pause", + "pauseTooltip": "Pause Processor", + "pauseSucceeded": "Processor Paused", + "pauseFailed": "Problem Pausing Processor", + "cancel": "Cancel", + "cancelTooltip": "Cancel Current Item", + "cancelSucceeded": "Item Canceled", + "cancelFailed": "Problem Canceling Item", + "prune": "Prune", + "pruneTooltip": "Prune {{item_count}} Completed Items", + "pruneSucceeded": "Pruned {{item_count}} Completed Items from Queue", + "pruneFailed": "Problem Pruning Queue", + "clear": "Clear", + "clearTooltip": "Cancel and Clear All Items", + "clearSucceeded": "Queue Cleared", + "clearFailed": "Problem Clearing Queue", + "cancelBatch": "Cancel Batch", + "cancelItem": "Cancel Item", + "cancelBatchSucceeded": "Batch Canceled", + "cancelBatchFailed": "Problem Canceling Batch", + "clearQueueAlertDialog": "Clearing the queue immediately cancels any processing items and clears the queue entirely.", + "clearQueueAlertDialog2": "Are you sure you want to clear the queue?", + "current": "Current", + "next": "Next", + "status": "Status", + "total": "Total", + "pending": "Pending", + "in_progress": "In Progress", + "completed": "Completed", + "failed": "Failed", + "canceled": "Canceled", + "completedIn": "Completed in", + "batch": "Batch", + "item": "Item", + "session": "Session", + "batchValues": "Batch Values", + "notReady": "Unable to Queue", + "batchQueued": "Batch Queued", + "batchQueuedDesc": "Added {{item_count}} sessions to {{direction}} of queue", + "front": "front", + "back": "back", + "batchFailedToQueue": "Failed to Queue Batch", + "graphQueued": "Graph queued", + "graphFailedToQueue": "Failed to queue graph" + }, "gallery": { "allImagesLoaded": "All Images Loaded", "assets": "Assets", @@ -636,7 +702,8 @@ "collectionItemDescription": "TODO", "colorCodeEdges": "Color-Code Edges", "colorCodeEdgesHelp": "Color-code edges according to their connected fields", - "colorCollectionDescription": "A collection of colors.", + "colorCollection": "A collection of colors.", + "colorCollectionDescription": "TODO", "colorField": "Color", "colorFieldDescription": "A RGBA color.", "colorPolymorphic": "Color Polymorphic", @@ -683,7 +750,8 @@ "imageFieldDescription": "Images may be passed between nodes.", "imagePolymorphic": "Image Polymorphic", "imagePolymorphicDescription": "A collection of images.", - "inputFields": "Input Feilds", + "inputField": "Input Field", + "inputFields": "Input Fields", "inputMayOnlyHaveOneConnection": "Input may only have one connection", "inputNode": "Input Node", "integer": "Integer", @@ -701,6 +769,7 @@ "latentsPolymorphicDescription": "Latents may be passed between nodes.", "loadingNodes": "Loading Nodes...", "loadWorkflow": "Load Workflow", + "noWorkflow": "No Workflow", "loRAModelField": "LoRA", "loRAModelFieldDescription": "TODO", "mainModelField": "Model", @@ -722,14 +791,15 @@ "noImageFoundState": "No initial image found in state", "noMatchingNodes": "No matching nodes", "noNodeSelected": "No node selected", - "noOpacity": "Node Opacity", + "nodeOpacity": "Node Opacity", "noOutputRecorded": "No outputs recorded", "noOutputSchemaName": "No output schema name found in ref object", "notes": "Notes", "notesDescription": "Add notes about your workflow", "oNNXModelField": "ONNX Model", "oNNXModelFieldDescription": "ONNX model field.", - "outputFields": "Output Feilds", + "outputField": "Output Field", + "outputFields": "Output Fields", "outputNode": "Output node", "outputSchemaNotFound": "Output schema not found", "pickOne": "Pick One", @@ -778,6 +848,7 @@ "unknownNode": "Unknown Node", "unknownTemplate": "Unknown Template", "unkownInvocation": "Unknown Invocation type", + "updateNode": "Update Node", "updateApp": "Update App", "vaeField": "Vae", "vaeFieldDescription": "Vae submodel.", @@ -814,6 +885,7 @@ }, "cfgScale": "CFG Scale", "clipSkip": "CLIP Skip", + "clipSkipWithLayerCount": "CLIP Skip {{layerCount}}", "closeViewer": "Close Viewer", "codeformerFidelity": "Fidelity", "coherenceMode": "Mode", @@ -852,6 +924,7 @@ "noInitialImageSelected": "No initial image selected", "noModelForControlNet": "ControlNet {{index}} has no model selected.", "noModelSelected": "No model selected", + "noPrompts": "No prompts generated", "noNodesInGraph": "No nodes in graph", "readyToInvoke": "Ready to Invoke", "systemBusy": "System busy", @@ -870,7 +943,12 @@ "perlinNoise": "Perlin Noise", "positivePromptPlaceholder": "Positive Prompt", "randomizeSeed": "Randomize Seed", + "manualSeed": "Manual Seed", + "randomSeed": "Random Seed", "restoreFaces": "Restore Faces", + "iterations": "Iterations", + "iterationsWithCount_one": "{{count}} Iteration", + "iterationsWithCount_other": "{{count}} Iterations", "scale": "Scale", "scaleBeforeProcessing": "Scale Before Processing", "scaledHeight": "Scaled H", @@ -881,13 +959,17 @@ "seamlessTiling": "Seamless Tiling", "seamlessXAxis": "X Axis", "seamlessYAxis": "Y Axis", + "seamlessX": "Seamless X", + "seamlessY": "Seamless Y", + "seamlessX&Y": "Seamless X & Y", "seamLowThreshold": "Low", "seed": "Seed", "seedWeights": "Seed Weights", + "imageActions": "Image Actions", "sendTo": "Send to", "sendToImg2Img": "Send to Image to Image", "sendToUnifiedCanvas": "Send To Unified Canvas", - "showOptionsPanel": "Show Options Panel", + "showOptionsPanel": "Show Side Panel (O or T)", "showPreview": "Show Preview", "shuffle": "Shuffle Seed", "steps": "Steps", @@ -896,11 +978,13 @@ "tileSize": "Tile Size", "toggleLoopback": "Toggle Loopback", "type": "Type", - "upscale": "Upscale", + "upscale": "Upscale (Shift + U)", "upscaleImage": "Upscale Image", "upscaling": "Upscaling", "useAll": "Use All", "useCpuNoise": "Use CPU Noise", + "cpuNoise": "CPU Noise", + "gpuNoise": "GPU Noise", "useInitImg": "Use Initial Image", "usePrompt": "Use Prompt", "useSeed": "Use Seed", @@ -909,11 +993,20 @@ "vSymmetryStep": "V Symmetry Step", "width": "Width" }, - "prompt": { + "dynamicPrompts": { "combinatorial": "Combinatorial Generation", "dynamicPrompts": "Dynamic Prompts", "enableDynamicPrompts": "Enable Dynamic Prompts", - "maxPrompts": "Max Prompts" + "maxPrompts": "Max Prompts", + "promptsWithCount_one": "{{count}} Prompt", + "promptsWithCount_other": "{{count}} Prompts", + "seedBehaviour": { + "label": "Seed Behaviour", + "perIterationLabel": "Seed per Iteration", + "perIterationDesc": "Use a different seed for each iteration", + "perPromptLabel": "Seed per Prompt", + "perPromptDesc": "Use a different seed for each prompt" + } }, "sdxl": { "cfgScale": "CFG Scale", @@ -1036,6 +1129,7 @@ "serverError": "Server Error", "setCanvasInitialImage": "Set as canvas initial image", "setControlImage": "Set as control image", + "setIPAdapterImage": "Set as IP Adapter Image", "setInitialImage": "Set as initial image", "setNodeField": "Set as node field", "tempFoldersEmptied": "Temp Folder Emptied", @@ -1060,6 +1154,136 @@ "variations": "Try a variation with a value between 0.1 and 1.0 to change the result for a given seed. Interesting variations of the seed are between 0.1 and 0.3." } }, + "popovers": { + "clipSkip": { + "heading": "CLIP Skip", + "paragraph": "Choose how many layers of the CLIP model to skip. Certain models are better suited to be used with CLIP Skip." + }, + "compositingBlur": { + "heading": "Blur", + "paragraph": "The blur radius of the mask." + }, + "compositingBlurMethod": { + "heading": "Blur Method", + "paragraph": "The method of blur applied to the masked area." + }, + "compositingCoherencePass": { + "heading": "Coherence Pass", + "paragraph": "Composite the Inpainted/Outpainted images." + }, + "compositingCoherenceMode": { + "heading": "Mode", + "paragraph": "The mode of the Coherence Pass." + }, + "compositingCoherenceSteps": { + "heading": "Steps", + "paragraph": "Number of steps in the Coherence Pass. Similar to Denoising Steps." + }, + "compositingStrength": { + "heading": "Strength", + "paragraph": "Amount of noise added for the Coherence Pass. Similar to Denoising Strength." + }, + "compositingMaskAdjustments": { + "heading": "Mask Adjustments", + "paragraph": "Adjust the mask." + }, + "controlNetBeginEnd": { + "heading": "Begin / End Step Percentage", + "paragraph": "Which parts of the denoising process will have the ControlNet applied. ControlNets applied at the start of the process guide composition, and ControlNets applied at the end guide details." + }, + "controlNetControlMode": { + "heading": "Control Mode", + "paragraph": "Lends more weight to either the prompt or ControlNet." + }, + "controlNetResizeMode": { + "heading": "Resize Mode", + "paragraph": "How the ControlNet image will be fit to the image generation Ratio" + }, + "controlNetToggle": { + "heading": "Enable ControlNet", + "paragraph": "ControlNets provide guidance to the generation process, helping create images with controlled composition, structure, or style, depending on the model selected." + }, + "controlNetWeight": { + "heading": "Weight", + "paragraph": "How strongly the ControlNet will impact the generated image." + }, + "dynamicPromptsToggle": { + "heading": "Enable Dynamic Prompts", + "paragraph": "Dynamic prompts allow multiple options within a prompt. Dynamic prompts can be used by: {option1|option2|option3}. Combinations of prompts will be randomly generated until the “Images” number has been reached." + }, + "dynamicPromptsCombinatorial": { + "heading": "Combinatorial Generation", + "paragraph": "Generate an image for every possible combination of Dynamic Prompt until the Max Prompts is reached." + }, + "infillMethod": { + "heading": "Infill Method", + "paragraph": "Method to infill the selected area." + }, + "lora": { + "heading": "LoRA", + "paragraph": "Weight of the LoRA. Higher weight will lead to larger impacts on the final image." + }, + "noiseEnable": { + "heading": "Enable Noise Settings", + "paragraph": "Advanced control over noise generation." + }, + "noiseUseCPU": { + "heading": "Use CPU Noise", + "paragraph": "Uses the CPU to generate random noise." + }, + "paramCFGScale": { + "heading": "CFG Scale", + "paragraph": "Controls how much your prompt influences the generation process." + }, + "paramDenoisingStrength": { + "heading": "Denoising Strength", + "paragraph": "How much noise is added to the input image. 0 will result in an identical image, while 1 will result in a completely new image." + }, + "paramImages": { + "heading": "Images", + "paragraph": "Number of images that will be generated." + }, + "paramModel": { + "heading": "Model", + "paragraph": "Model used for the denoising steps. Different models are trained to specialize in producing different aesthetic results and content." + }, + "paramNegativeConditioning": { + "heading": "Negative Prompts", + "paragraph": "This is where you enter your negative prompts." + }, + "paramPositiveConditioning": { + "heading": "Positive Prompts", + "paragraph": "This is where you enter your positive prompts." + }, + "paramRatio": { + "heading": "Ratio", + "paragraph": "The ratio of the dimensions of the image generated. An image size (in number of pixels) equivalent to 512x512 is recommended for SD1.5 models and a size equivalent to 1024x1024 is recommended for SDXL models." + }, + "paramScheduler": { + "heading": "Scheduler", + "paragraph": "Scheduler defines how to iteratively add noise to an image or how to update a sample based on a model's output." + }, + "paramSeed": { + "heading": "Seed", + "paragraph": "Controls the starting noise used for generation. Disable “Random Seed” to produce identical results with the same generation settings." + }, + "paramSteps": { + "heading": "Steps", + "paragraph": "Number of steps that will be performed in each generation. Higher step counts will typically create better images but will require more generation time." + }, + "paramVAE": { + "heading": "VAE", + "paragraph": "Model used for translating AI output into the final image." + }, + "paramVAEPrecision": { + "heading": "VAE Precision", + "paragraph": "The precision used during VAE encoding and decoding. Fp16/Half precision is more efficient, at the expense of minor image variations." + }, + "scaleBeforeProcessing": { + "heading": "Scale Before Processing", + "paragraph": "Scales the selected area to the size best suited for the model before the image generation process." + } + }, "ui": { "hideProgressImages": "Hide Progress Images", "lockRatio": "Lock Ratio", diff --git a/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx b/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx deleted file mode 100644 index a0c5d22266..0000000000 --- a/invokeai/frontend/web/src/app/components/AuxiliaryProgressIndicator.tsx +++ /dev/null @@ -1,44 +0,0 @@ -import { Flex, Spinner, Tooltip } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; -import { memo } from 'react'; - -const selector = createSelector(systemSelector, (system) => { - const { isUploading } = system; - - let tooltip = ''; - - if (isUploading) { - tooltip = 'Uploading...'; - } - - return { - tooltip, - shouldShow: isUploading, - }; -}); - -export const AuxiliaryProgressIndicator = () => { - const { shouldShow, tooltip } = useAppSelector(selector); - - if (!shouldShow) { - return null; - } - - return ( - - - - - - ); -}; - -export default memo(AuxiliaryProgressIndicator); diff --git a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts index ac48fcc7b1..c77dfd5d86 100644 --- a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts +++ b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts @@ -1,6 +1,8 @@ import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useQueueBack } from 'features/queue/hooks/useQueueBack'; +import { useQueueFront } from 'features/queue/hooks/useQueueFront'; import { ctrlKeyPressed, metaKeyPressed, @@ -33,6 +35,39 @@ const globalHotkeysSelector = createSelector( const GlobalHotkeys: React.FC = () => { const dispatch = useAppDispatch(); const { shift, ctrl, meta } = useAppSelector(globalHotkeysSelector); + const { + queueBack, + isDisabled: isDisabledQueueBack, + isLoading: isLoadingQueueBack, + } = useQueueBack(); + + useHotkeys( + ['ctrl+enter', 'meta+enter'], + queueBack, + { + enabled: () => !isDisabledQueueBack && !isLoadingQueueBack, + preventDefault: true, + enableOnFormTags: ['input', 'textarea', 'select'], + }, + [queueBack, isDisabledQueueBack, isLoadingQueueBack] + ); + + const { + queueFront, + isDisabled: isDisabledQueueFront, + isLoading: isLoadingQueueFront, + } = useQueueFront(); + + useHotkeys( + ['ctrl+shift+enter', 'meta+shift+enter'], + queueFront, + { + enabled: () => !isDisabledQueueFront && !isLoadingQueueFront, + preventDefault: true, + enableOnFormTags: ['input', 'textarea', 'select'], + }, + [queueFront, isDisabledQueueFront, isLoadingQueueFront] + ); useHotkeys( '*', diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx index 505b1e13b4..8c8c02ee85 100644 --- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx +++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx @@ -17,6 +17,7 @@ import '../../i18n'; import AppDndContext from '../../features/dnd/components/AppDndContext'; import { $customStarUI, CustomStarUi } from 'app/store/nanostores/customStarUI'; import { $headerComponent } from 'app/store/nanostores/headerComponent'; +import { $queueId, DEFAULT_QUEUE_ID } from 'features/queue/store/nanoStores'; const App = lazy(() => import('./App')); const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider')); @@ -28,6 +29,7 @@ interface Props extends PropsWithChildren { headerComponent?: ReactNode; middleware?: Middleware[]; projectId?: string; + queueId?: string; selectedImage?: { imageName: string; action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters'; @@ -42,6 +44,7 @@ const InvokeAIUI = ({ headerComponent, middleware, projectId, + queueId, selectedImage, customStarUi, }: Props) => { @@ -61,6 +64,11 @@ const InvokeAIUI = ({ $projectId.set(projectId); } + // configure API client project header + if (queueId) { + $queueId.set(queueId); + } + // reset dynamically added middlewares resetMiddlewares(); @@ -81,8 +89,9 @@ const InvokeAIUI = ({ $baseUrl.set(undefined); $authToken.set(undefined); $projectId.set(undefined); + $queueId.set(DEFAULT_QUEUE_ID); }; - }, [apiUrl, token, middleware, projectId]); + }, [apiUrl, token, middleware, projectId, queueId]); useEffect(() => { if (customStarUi) { diff --git a/invokeai/frontend/web/src/app/components/Toaster.ts b/invokeai/frontend/web/src/app/components/Toaster.ts index 9d7149023b..e319bef59c 100644 --- a/invokeai/frontend/web/src/app/components/Toaster.ts +++ b/invokeai/frontend/web/src/app/components/Toaster.ts @@ -1,6 +1,5 @@ import { useToast } from '@chakra-ui/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { toastQueueSelector } from 'features/system/store/systemSelectors'; import { addToast, clearToastQueue } from 'features/system/store/systemSlice'; import { MakeToastArg, makeToast } from 'features/system/util/makeToast'; import { memo, useCallback, useEffect } from 'react'; @@ -11,7 +10,7 @@ import { memo, useCallback, useEffect } from 'react'; */ const Toaster = () => { const dispatch = useAppDispatch(); - const toastQueue = useAppSelector(toastQueueSelector); + const toastQueue = useAppSelector((state) => state.system.toastQueue); const toast = useToast(); useEffect(() => { toastQueue.forEach((t) => { diff --git a/invokeai/frontend/web/src/app/logging/logger.ts b/invokeai/frontend/web/src/app/logging/logger.ts index 2d7b8a7744..0e0a1a7324 100644 --- a/invokeai/frontend/web/src/app/logging/logger.ts +++ b/invokeai/frontend/web/src/app/logging/logger.ts @@ -20,6 +20,7 @@ export type LoggerNamespace = | 'system' | 'socketio' | 'session' + | 'queue' | 'dnd'; export const logger = (namespace: LoggerNamespace) => diff --git a/invokeai/frontend/web/src/app/logging/useLogger.ts b/invokeai/frontend/web/src/app/logging/useLogger.ts index d31bcc2660..697c3d3fc8 100644 --- a/invokeai/frontend/web/src/app/logging/useLogger.ts +++ b/invokeai/frontend/web/src/app/logging/useLogger.ts @@ -1,7 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { createLogWriter } from '@roarr/browser-log-writer'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { isEqual } from 'lodash-es'; import { useEffect, useMemo } from 'react'; import { ROARR, Roarr } from 'roarr'; @@ -14,8 +14,8 @@ import { } from './logger'; const selector = createSelector( - systemSelector, - (system) => { + stateSelector, + ({ system }) => { const { consoleLogLevel, shouldLogToConsole } = system; return { diff --git a/invokeai/frontend/web/src/app/store/actions.ts b/invokeai/frontend/web/src/app/store/actions.ts index e07920ce0c..418440a5fb 100644 --- a/invokeai/frontend/web/src/app/store/actions.ts +++ b/invokeai/frontend/web/src/app/store/actions.ts @@ -1,4 +1,10 @@ import { createAction } from '@reduxjs/toolkit'; import { InvokeTabName } from 'features/ui/store/tabMap'; +import { BatchConfig } from 'services/api/types'; -export const userInvoked = createAction('app/userInvoked'); +export const enqueueRequested = createAction<{ + tabName: InvokeTabName; + prepend: boolean; +}>('app/enqueueRequested'); + +export const batchEnqueued = createAction('app/batchEnqueued'); diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts index 1b21770aa0..9de7f739a1 100644 --- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts +++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts @@ -1,5 +1,6 @@ import { canvasPersistDenylist } from 'features/canvas/store/canvasPersistDenylist'; import { controlNetDenylist } from 'features/controlNet/store/controlNetDenylist'; +import { dynamicPromptsPersistDenylist } from 'features/dynamicPrompts/store/dynamicPromptsPersistDenylist'; import { galleryPersistDenylist } from 'features/gallery/store/galleryPersistDenylist'; import { nodesPersistDenylist } from 'features/nodes/store/nodesPersistDenylist'; import { generationPersistDenylist } from 'features/parameters/store/generationPersistDenylist'; @@ -20,6 +21,7 @@ const serializationDenylist: { system: systemPersistDenylist, ui: uiPersistDenylist, controlNet: controlNetDenylist, + dynamicPrompts: dynamicPromptsPersistDenylist, }; export const serialize: SerializeFunction = (data, key) => { diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts index 159952d654..508ab9f69a 100644 --- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts +++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/unserialize.ts @@ -1,9 +1,11 @@ import { initialCanvasState } from 'features/canvas/store/canvasSlice'; import { initialControlNetState } from 'features/controlNet/store/controlNetSlice'; +import { initialDynamicPromptsState } from 'features/dynamicPrompts/store/dynamicPromptsSlice'; import { initialGalleryState } from 'features/gallery/store/gallerySlice'; import { initialNodesState } from 'features/nodes/store/nodesSlice'; import { initialGenerationState } from 'features/parameters/store/generationSlice'; import { initialPostprocessingState } from 'features/parameters/store/postprocessingSlice'; +import { initialSDXLState } from 'features/sdxl/store/sdxlSlice'; import { initialConfigState } from 'features/system/store/configSlice'; import { initialSystemState } from 'features/system/store/systemSlice'; import { initialHotkeysState } from 'features/ui/store/hotkeysSlice'; @@ -24,6 +26,8 @@ const initialStates: { ui: initialUIState, hotkeys: initialHotkeysState, controlNet: initialControlNetState, + dynamicPrompts: initialDynamicPromptsState, + sdxl: initialSDXLState, }; export const unserialize: UnserializeFunction = (data, key) => { 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 261edba0af..ead6e1cd42 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts @@ -9,6 +9,7 @@ import { import type { AppDispatch, RootState } from '../../store'; import { addCommitStagingAreaImageListener } from './listeners/addCommitStagingAreaImageListener'; import { addFirstListImagesListener } from './listeners/addFirstListImagesListener.ts'; +import { addAnyEnqueuedListener } from './listeners/anyEnqueued'; import { addAppConfigReceivedListener } from './listeners/appConfigReceived'; import { addAppStartedListener } from './listeners/appStarted'; import { addDeleteBoardAndImagesFulfilledListener } from './listeners/boardAndImagesDeleted'; @@ -22,6 +23,9 @@ import { addCanvasMergedListener } from './listeners/canvasMerged'; import { addCanvasSavedToGalleryListener } from './listeners/canvasSavedToGallery'; import { addControlNetAutoProcessListener } from './listeners/controlNetAutoProcess'; import { addControlNetImageProcessedListener } from './listeners/controlNetImageProcessed'; +import { addEnqueueRequestedCanvasListener } from './listeners/enqueueRequestedCanvas'; +import { addEnqueueRequestedLinear } from './listeners/enqueueRequestedLinear'; +import { addEnqueueRequestedNodes } from './listeners/enqueueRequestedNodes'; import { addImageAddedToBoardFulfilledListener, addImageAddedToBoardRejectedListener, @@ -48,6 +52,7 @@ import { addImagesUnstarredListener } from './listeners/imagesUnstarred'; import { addInitialImageSelectedListener } from './listeners/initialImageSelected'; import { addModelSelectedListener } from './listeners/modelSelected'; import { addModelsLoadedListener } from './listeners/modelsLoaded'; +import { addDynamicPromptsListener } from './listeners/promptChanged'; import { addReceivedOpenAPISchemaListener } from './listeners/receivedOpenAPISchema'; import { addSessionCanceledFulfilledListener, @@ -64,7 +69,6 @@ import { addSessionInvokedPendingListener, addSessionInvokedRejectedListener, } from './listeners/sessionInvoked'; -import { addSessionReadyToInvokeListener } from './listeners/sessionReadyToInvoke'; import { addSocketConnectedEventListener as addSocketConnectedListener } from './listeners/socketio/socketConnected'; import { addSocketDisconnectedEventListener as addSocketDisconnectedListener } from './listeners/socketio/socketDisconnected'; import { addGeneratorProgressEventListener as addGeneratorProgressListener } from './listeners/socketio/socketGeneratorProgress'; @@ -74,16 +78,13 @@ import { addInvocationErrorEventListener as addInvocationErrorListener } from '. import { addInvocationRetrievalErrorEventListener } from './listeners/socketio/socketInvocationRetrievalError'; import { addInvocationStartedEventListener as addInvocationStartedListener } from './listeners/socketio/socketInvocationStarted'; import { addModelLoadEventListener } from './listeners/socketio/socketModelLoad'; +import { addSocketQueueItemStatusChangedEventListener } from './listeners/socketio/socketQueueItemStatusChanged'; 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 { addWorkflowLoadedListener } from './listeners/workflowLoaded'; export const listenerMiddleware = createListenerMiddleware(); @@ -131,11 +132,10 @@ addImagesStarredListener(); addImagesUnstarredListener(); // User Invoked -addUserInvokedCanvasListener(); -addUserInvokedNodesListener(); -addUserInvokedTextToImageListener(); -addUserInvokedImageToImageListener(); -addSessionReadyToInvokeListener(); +addEnqueueRequestedCanvasListener(); +addEnqueueRequestedNodes(); +addEnqueueRequestedLinear(); +addAnyEnqueuedListener(); // Canvas actions addCanvasSavedToGalleryListener(); @@ -173,6 +173,7 @@ addSocketUnsubscribedListener(); addModelLoadEventListener(); addSessionRetrievalErrorEventListener(); addInvocationRetrievalErrorEventListener(); +addSocketQueueItemStatusChangedEventListener(); // Session Created addSessionCreatedPendingListener(); @@ -223,3 +224,6 @@ addUpscaleRequestedListener(); // Tab Change addTabChangedListener(); + +// Dynamic prompts +addDynamicPromptsListener(); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts index d157fae7ed..d302d50255 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener.ts @@ -1,39 +1,53 @@ +import { isAnyOf } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; -import { commitStagingAreaImage } from 'features/canvas/store/canvasSlice'; -import { sessionCanceled } from 'services/api/thunks/session'; +import { + canvasBatchIdsReset, + commitStagingAreaImage, + discardStagedImages, +} from 'features/canvas/store/canvasSlice'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; import { startAppListening } from '..'; +const matcher = isAnyOf(commitStagingAreaImage, discardStagedImages); + export const addCommitStagingAreaImageListener = () => { startAppListening({ - actionCreator: commitStagingAreaImage, - effect: async (action, { dispatch, getState }) => { + matcher, + effect: async (_, { dispatch, getState }) => { const log = logger('canvas'); const state = getState(); - const { sessionId: session_id, isProcessing } = state.system; - const canvasSessionId = action.payload; + const { batchIds } = state.canvas; - if (!isProcessing) { - // Only need to cancel if we are processing - return; - } - - if (!canvasSessionId) { - log.debug('No canvas session, skipping cancel'); - return; - } - - if (canvasSessionId !== session_id) { - log.debug( - { - canvasSessionId, - session_id, - }, - 'Canvas session does not match global session, skipping cancel' + try { + const req = dispatch( + queueApi.endpoints.cancelByBatchIds.initiate( + { batch_ids: batchIds }, + { fixedCacheKey: 'cancelByBatchIds' } + ) + ); + const { canceled } = await req.unwrap(); + req.reset(); + if (canceled > 0) { + log.debug(`Canceled ${canceled} canvas batches`); + dispatch( + addToast({ + title: t('queue.cancelBatchSucceeded'), + status: 'success', + }) + ); + } + dispatch(canvasBatchIdsReset()); + } catch { + log.error('Failed to cancel canvas batches'); + dispatch( + addToast({ + title: t('queue.cancelBatchFailed'), + status: 'error', + }) ); - return; } - - dispatch(sessionCanceled({ session_id })); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts new file mode 100644 index 0000000000..ff11491b53 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/anyEnqueued.ts @@ -0,0 +1,27 @@ +import { isAnyOf } from '@reduxjs/toolkit'; +import { queueApi } from 'services/api/endpoints/queue'; +import { startAppListening } from '..'; + +const matcher = isAnyOf( + queueApi.endpoints.enqueueBatch.matchFulfilled, + queueApi.endpoints.enqueueGraph.matchFulfilled +); + +export const addAnyEnqueuedListener = () => { + startAppListening({ + matcher, + effect: async (_, { dispatch, getState }) => { + const { data } = queueApi.endpoints.getQueueStatus.select()(getState()); + + if (!data || data.processor.is_started) { + return; + } + + dispatch( + queueApi.endpoints.resumeProcessor.initiate(undefined, { + fixedCacheKey: 'resumeProcessor', + }) + ); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts index d4a36d64dc..69b136ca60 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts @@ -1,5 +1,8 @@ import { resetCanvas } from 'features/canvas/store/canvasSlice'; -import { controlNetReset } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetReset, + ipAdapterStateReset, +} from 'features/controlNet/store/controlNetSlice'; import { getImageUsage } from 'features/deleteImageModal/store/selectors'; import { nodeEditorReset } from 'features/nodes/store/nodesSlice'; import { clearInitialImage } from 'features/parameters/store/generationSlice'; @@ -18,6 +21,7 @@ export const addDeleteBoardAndImagesFulfilledListener = () => { let wasCanvasReset = false; let wasNodeEditorReset = false; let wasControlNetReset = false; + let wasIPAdapterReset = false; const state = getState(); deleted_images.forEach((image_name) => { @@ -42,6 +46,11 @@ export const addDeleteBoardAndImagesFulfilledListener = () => { dispatch(controlNetReset()); wasControlNetReset = true; } + + if (imageUsage.isIPAdapterImage && !wasIPAdapterReset) { + dispatch(ipAdapterStateReset()); + wasIPAdapterReset = true; + } }); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts index 61bcf28833..ffb1c9565f 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts @@ -52,11 +52,9 @@ const predicate: AnyListenerPredicate = ( const isProcessorSelected = processorType !== 'none'; - const isBusy = state.system.isProcessing; - const hasControlImage = Boolean(controlImage); - return isProcessorSelected && !isBusy && hasControlImage; + return isProcessorSelected && hasControlImage; }; /** diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts index fa915ef21b..814614da10 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts @@ -1,10 +1,13 @@ import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { controlNetImageProcessed } from 'features/controlNet/store/actions'; import { controlNetProcessedImageChanged } from 'features/controlNet/store/controlNetSlice'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; +import { SAVE_IMAGE } from 'features/nodes/util/graphBuilders/constants'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { imagesApi } from 'services/api/endpoints/images'; +import { queueApi } from 'services/api/endpoints/queue'; import { isImageOutput } from 'services/api/guards'; -import { sessionCreated } from 'services/api/thunks/session'; import { Graph, ImageDTO } from 'services/api/types'; import { socketInvocationComplete } from 'services/events/actions'; import { startAppListening } from '..'; @@ -31,51 +34,83 @@ export const addControlNetImageProcessedListener = () => { is_intermediate: true, image: { image_name: controlNet.controlImage }, }, + [SAVE_IMAGE]: { + id: SAVE_IMAGE, + type: 'save_image', + is_intermediate: true, + use_cache: false, + }, }, + edges: [ + { + source: { + node_id: controlNet.processorNode.id, + field: 'image', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'image', + }, + }, + ], }; - - // Create a session to run the graph & wait til it's ready to invoke - const sessionCreatedAction = dispatch(sessionCreated({ graph })); - const [sessionCreatedFulfilledAction] = await take( - (action): action is ReturnType => - sessionCreated.fulfilled.match(action) && - action.meta.requestId === sessionCreatedAction.requestId - ); - - const sessionId = sessionCreatedFulfilledAction.payload.id; - - // Invoke the session & wait til it's complete - dispatch(sessionReadyToInvoke()); - const [invocationCompleteAction] = await take( - (action): action is ReturnType => - socketInvocationComplete.match(action) && - action.payload.data.graph_execution_state_id === sessionId - ); - - // We still have to check the output type - if (isImageOutput(invocationCompleteAction.payload.data.result)) { - const { image_name } = - invocationCompleteAction.payload.data.result.image; - - // Wait for the ImageDTO to be received - const [{ payload }] = await take( - (action) => - imagesApi.endpoints.getImageDTO.matchFulfilled(action) && - action.payload.image_name === image_name + try { + const req = dispatch( + queueApi.endpoints.enqueueGraph.initiate( + { graph, prepend: true }, + { + fixedCacheKey: 'enqueueGraph', + } + ) ); - - const processedControlImage = payload as ImageDTO; - + const enqueueResult = await req.unwrap(); + req.reset(); log.debug( - { controlNetId: action.payload, processedControlImage }, - 'ControlNet image processed' + { enqueueResult: parseify(enqueueResult) }, + t('queue.graphQueued') ); - // Update the processed image in the store + const [invocationCompleteAction] = await take( + (action): action is ReturnType => + socketInvocationComplete.match(action) && + action.payload.data.graph_execution_state_id === + enqueueResult.queue_item.session_id && + action.payload.data.source_node_id === SAVE_IMAGE + ); + + // We still have to check the output type + if (isImageOutput(invocationCompleteAction.payload.data.result)) { + const { image_name } = + invocationCompleteAction.payload.data.result.image; + + // Wait for the ImageDTO to be received + const [{ payload }] = await take( + (action) => + imagesApi.endpoints.getImageDTO.matchFulfilled(action) && + action.payload.image_name === image_name + ); + + const processedControlImage = payload as ImageDTO; + + log.debug( + { controlNetId: action.payload, processedControlImage }, + 'ControlNet image processed' + ); + + // Update the processed image in the store + dispatch( + controlNetProcessedImageChanged({ + controlNetId, + processedControlImage: processedControlImage.image_name, + }) + ); + } + } catch { + log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue')); dispatch( - controlNetProcessedImageChanged({ - controlNetId, - processedControlImage: processedControlImage.image_name, + addToast({ + title: t('queue.graphFailedToQueue'), + status: 'error', }) ); } diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts similarity index 65% rename from invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts rename to invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts index cd6791cc0b..c1511bd0e8 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedCanvas.ts @@ -1,9 +1,9 @@ import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; +import { enqueueRequested } from 'app/store/actions'; import openBase64ImageInTab from 'common/util/openBase64ImageInTab'; import { parseify } from 'common/util/serialize'; import { - canvasSessionIdChanged, + canvasBatchIdAdded, stagingAreaInitialized, } from 'features/canvas/store/canvasSlice'; import { blobToDataURL } from 'features/canvas/util/blobToDataURL'; @@ -11,9 +11,11 @@ import { getCanvasData } from 'features/canvas/util/getCanvasData'; import { getCanvasGenerationMode } from 'features/canvas/util/getCanvasGenerationMode'; import { canvasGraphBuilt } from 'features/nodes/store/actions'; import { buildCanvasGraph } from 'features/nodes/util/graphBuilders/buildCanvasGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; +import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { imagesApi } from 'services/api/endpoints/images'; -import { sessionCreated } from 'services/api/thunks/session'; +import { queueApi } from 'services/api/endpoints/queue'; import { ImageDTO } from 'services/api/types'; import { startAppListening } from '..'; @@ -30,13 +32,14 @@ import { startAppListening } from '..'; * 8. Initialize the staging area if not yet initialized * 9. Dispatch the sessionReadyToInvoke action to invoke the session */ -export const addUserInvokedCanvasListener = () => { +export const addEnqueueRequestedCanvasListener = () => { startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'unifiedCanvas', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && + action.payload.tabName === 'unifiedCanvas', + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const { prepend } = action.payload; const state = getState(); const { @@ -125,57 +128,59 @@ export const addUserInvokedCanvasListener = () => { // currently this action is just listened to for logging dispatch(canvasGraphBuilt(graph)); - // Create the session, store the request id - const { requestId: sessionCreatedRequestId } = dispatch( - sessionCreated({ graph }) - ); + const batchConfig = prepareLinearUIBatch(state, graph, prepend); - // Take the session created action, matching by its request id - const [sessionCreatedAction] = await take( - (action): action is ReturnType => - sessionCreated.fulfilled.match(action) && - action.meta.requestId === sessionCreatedRequestId - ); - const session_id = sessionCreatedAction.payload.id; + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + + const batchId = enqueueResult.batch.batch_id as string; // we know the is a string, backend provides it + + // Prep the canvas staging area if it is not yet initialized + if (!state.canvas.layerState.stagingArea.boundingBox) { + dispatch( + stagingAreaInitialized({ + boundingBox: { + ...state.canvas.boundingBoxCoordinates, + ...state.canvas.boundingBoxDimensions, + }, + }) + ); + } + + // Associate the session with the canvas session ID + dispatch(canvasBatchIdAdded(batchId)); - // Associate the init image with the session, now that we have the session ID - if (['img2img', 'inpaint'].includes(generationMode) && canvasInitImage) { dispatch( - imagesApi.endpoints.changeImageSessionId.initiate({ - imageDTO: canvasInitImage, - session_id, + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', }) ); } - - // Associate the mask image with the session, now that we have the session ID - if (['inpaint'].includes(generationMode) && canvasMaskImage) { - dispatch( - imagesApi.endpoints.changeImageSessionId.initiate({ - imageDTO: canvasMaskImage, - session_id, - }) - ); - } - - // Prep the canvas staging area if it is not yet initialized - if (!state.canvas.layerState.stagingArea.boundingBox) { - dispatch( - stagingAreaInitialized({ - sessionId: session_id, - boundingBox: { - ...state.canvas.boundingBoxCoordinates, - ...state.canvas.boundingBoxDimensions, - }, - }) - ); - } - - // Flag the session with the canvas session ID - dispatch(canvasSessionIdChanged(session_id)); - - // We are ready to invoke the session! - dispatch(sessionReadyToInvoke()); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts new file mode 100644 index 0000000000..e36c6f2ebe --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts @@ -0,0 +1,78 @@ +import { logger } from 'app/logging/logger'; +import { enqueueRequested } from 'app/store/actions'; +import { parseify } from 'common/util/serialize'; +import { prepareLinearUIBatch } from 'features/nodes/util/graphBuilders/buildLinearBatchConfig'; +import { buildLinearImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearImageToImageGraph'; +import { buildLinearSDXLImageToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph'; +import { buildLinearSDXLTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph'; +import { buildLinearTextToImageGraph } from 'features/nodes/util/graphBuilders/buildLinearTextToImageGraph'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { startAppListening } from '..'; + +export const addEnqueueRequestedLinear = () => { + startAppListening({ + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && + (action.payload.tabName === 'txt2img' || + action.payload.tabName === 'img2img'), + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const state = getState(); + const model = state.generation.model; + const { prepend } = action.payload; + + let graph; + + if (model && model.base_model === 'sdxl') { + if (action.payload.tabName === 'txt2img') { + graph = buildLinearSDXLTextToImageGraph(state); + } else { + graph = buildLinearSDXLImageToImageGraph(state); + } + } else { + if (action.payload.tabName === 'txt2img') { + graph = buildLinearTextToImageGraph(state); + } else { + graph = buildLinearImageToImageGraph(state); + } + } + + const batchConfig = prepareLinearUIBatch(state, graph, prepend); + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts new file mode 100644 index 0000000000..31281678d4 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts @@ -0,0 +1,62 @@ +import { logger } from 'app/logging/logger'; +import { enqueueRequested } from 'app/store/actions'; +import { parseify } from 'common/util/serialize'; +import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { BatchConfig } from 'services/api/types'; +import { startAppListening } from '..'; + +export const addEnqueueRequestedNodes = () => { + startAppListening({ + predicate: (action): action is ReturnType => + enqueueRequested.match(action) && action.payload.tabName === 'nodes', + effect: async (action, { getState, dispatch }) => { + const log = logger('queue'); + const state = getState(); + const { prepend } = action.payload; + const graph = buildNodesGraph(state.nodes); + const batchConfig: BatchConfig = { + batch: { + graph, + runs: state.generation.iterations, + }, + prepend: action.payload.prepend, + }; + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + 'Failed to enqueue batch' + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts index 770c9fc11b..7c51b44aa2 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts @@ -3,6 +3,7 @@ import { resetCanvas } from 'features/canvas/store/canvasSlice'; import { controlNetImageChanged, controlNetProcessedImageChanged, + ipAdapterImageChanged, } from 'features/controlNet/store/controlNetSlice'; import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions'; import { isModalOpenChanged } from 'features/deleteImageModal/store/slice'; @@ -110,6 +111,14 @@ export const addRequestedSingleImageDeletionListener = () => { } }); + // Remove IP Adapter Set Image if image is deleted. + if ( + getState().controlNet.ipAdapterInfo.adapterImage?.image_name === + imageDTO.image_name + ) { + dispatch(ipAdapterImageChanged(null)); + } + // reset nodes that use the deleted images getState().nodes.nodes.forEach((node) => { if (!isInvocationNode(node)) { @@ -227,6 +236,14 @@ export const addRequestedMultipleImageDeletionListener = () => { } }); + // Remove IP Adapter Set Image if image is deleted. + if ( + getState().controlNet.ipAdapterInfo.adapterImage?.image_name === + imageDTO.image_name + ) { + dispatch(ipAdapterImageChanged(null)); + } + // reset nodes that use the deleted images getState().nodes.nodes.forEach((node) => { if (!isInvocationNode(node)) { diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts index fc0b44653d..e8b4aa9210 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts @@ -1,7 +1,11 @@ import { createAction } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; -import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetImageChanged, + ipAdapterImageChanged, +} from 'features/controlNet/store/controlNetSlice'; import { TypesafeDraggableData, TypesafeDroppableData, @@ -14,7 +18,6 @@ import { import { initialImageChanged } from 'features/parameters/store/generationSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { startAppListening } from '../'; -import { parseify } from 'common/util/serialize'; export const dndDropped = createAction<{ overData: TypesafeDroppableData; @@ -99,6 +102,18 @@ export const addImageDroppedListener = () => { return; } + /** + * Image dropped on IP Adapter image + */ + if ( + overData.actionType === 'SET_IP_ADAPTER_IMAGE' && + activeData.payloadType === 'IMAGE_DTO' && + activeData.payload.imageDTO + ) { + dispatch(ipAdapterImageChanged(activeData.payload.imageDTO)); + return; + } + /** * Image dropped on Canvas */ diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts index 88a4e773d5..61b4379d5d 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts @@ -19,6 +19,7 @@ export const addImageToDeleteSelectedListener = () => { imagesUsage.some((i) => i.isCanvasImage) || imagesUsage.some((i) => i.isInitialImage) || imagesUsage.some((i) => i.isControlNetImage) || + imagesUsage.some((i) => i.isIPAdapterImage) || imagesUsage.some((i) => i.isNodesImage); if (shouldConfirmOnDelete || isImageInUse) { diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts index 2cc406469b..1c7caaeb2f 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts @@ -1,15 +1,18 @@ import { UseToastOptions } from '@chakra-ui/react'; import { logger } from 'app/logging/logger'; import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice'; -import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetImageChanged, + ipAdapterImageChanged, +} from 'features/controlNet/store/controlNetSlice'; import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice'; import { initialImageChanged } from 'features/parameters/store/generationSlice'; import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; import { omit } from 'lodash-es'; import { boardsApi } from 'services/api/endpoints/boards'; import { startAppListening } from '..'; import { imagesApi } from '../../../../../services/api/endpoints/images'; -import { t } from 'i18next'; const DEFAULT_UPLOADED_TOAST: UseToastOptions = { title: t('toast.imageUploaded'), @@ -99,6 +102,17 @@ export const addImageUploadedFulfilledListener = () => { return; } + if (postUploadAction?.type === 'SET_IP_ADAPTER_IMAGE') { + dispatch(ipAdapterImageChanged(imageDTO)); + dispatch( + addToast({ + ...DEFAULT_UPLOADED_TOAST, + description: t('toast.setIPAdapterImage'), + }) + ); + return; + } + if (postUploadAction?.type === 'SET_INITIAL_IMAGE') { dispatch(initialImageChanged(imageDTO)); dispatch( diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts index eb25b22293..ba42fce950 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts @@ -1,6 +1,9 @@ import { logger } from 'app/logging/logger'; import { setBoundingBoxDimensions } from 'features/canvas/store/canvasSlice'; -import { controlNetRemoved } from 'features/controlNet/store/controlNetSlice'; +import { + controlNetRemoved, + ipAdapterStateReset, +} from 'features/controlNet/store/controlNetSlice'; import { loraRemoved } from 'features/lora/store/loraSlice'; import { modelSelected } from 'features/parameters/store/actions'; import { @@ -56,6 +59,7 @@ export const addModelSelectedListener = () => { modelsCleared += 1; } + // handle incompatible controlnets const { controlNets } = state.controlNet; forEach(controlNets, (controlNet, controlNetId) => { if (controlNet.model?.base_model !== base_model) { @@ -64,6 +68,16 @@ export const addModelSelectedListener = () => { } }); + // handle incompatible IP-Adapter + const { ipAdapterInfo } = state.controlNet; + if ( + ipAdapterInfo.model && + ipAdapterInfo.model.base_model !== base_model + ) { + dispatch(ipAdapterStateReset()); + modelsCleared += 1; + } + if (modelsCleared > 0) { dispatch( addToast( diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts new file mode 100644 index 0000000000..a48a84a30f --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/promptChanged.ts @@ -0,0 +1,67 @@ +import { isAnyOf } from '@reduxjs/toolkit'; +import { + combinatorialToggled, + isErrorChanged, + isLoadingChanged, + maxPromptsChanged, + maxPromptsReset, + parsingErrorChanged, + promptsChanged, +} from 'features/dynamicPrompts/store/dynamicPromptsSlice'; +import { setPositivePrompt } from 'features/parameters/store/generationSlice'; +import { utilitiesApi } from 'services/api/endpoints/utilities'; +import { appSocketConnected } from 'services/events/actions'; +import { startAppListening } from '..'; + +const matcher = isAnyOf( + setPositivePrompt, + combinatorialToggled, + maxPromptsChanged, + maxPromptsReset, + appSocketConnected +); + +export const addDynamicPromptsListener = () => { + startAppListening({ + matcher, + effect: async ( + action, + { dispatch, getState, cancelActiveListeners, delay } + ) => { + // debounce request + cancelActiveListeners(); + await delay(1000); + + const state = getState(); + + if (state.config.disabledFeatures.includes('dynamicPrompting')) { + return; + } + + const { positivePrompt } = state.generation; + const { maxPrompts } = state.dynamicPrompts; + + dispatch(isLoadingChanged(true)); + + try { + const req = dispatch( + utilitiesApi.endpoints.dynamicPrompts.initiate({ + prompt: positivePrompt, + max_prompts: maxPrompts, + }) + ); + + const res = await req.unwrap(); + req.unsubscribe(); + + dispatch(promptsChanged(res.prompts)); + dispatch(parsingErrorChanged(res.error)); + dispatch(isErrorChanged(false)); + dispatch(isLoadingChanged(false)); + } catch { + dispatch(isErrorChanged(true)); + dispatch(isLoadingChanged(false)); + } + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts deleted file mode 100644 index 0267eb629b..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/sessionReadyToInvoke.ts +++ /dev/null @@ -1,18 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionInvoked } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addSessionReadyToInvokeListener = () => { - startAppListening({ - actionCreator: sessionReadyToInvoke, - effect: (action, { getState, dispatch }) => { - const log = logger('session'); - const { sessionId: session_id } = getState().system; - if (session_id) { - log.debug({ session_id }, `Session ready to invoke (${session_id})})`); - dispatch(sessionInvoked({ session_id })); - } - }, - }); -}; 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 739bbd7110..b81aa36455 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 @@ -1,11 +1,9 @@ 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 { size } from 'lodash-es'; +import { api } from 'services/api'; import { receivedOpenAPISchema } from 'services/api/thunks/schema'; import { appSocketConnected, socketConnected } from 'services/events/actions'; import { startAppListening } from '../..'; -import { size } from 'lodash-es'; export const addSocketConnectedEventListener = () => { startAppListening({ @@ -23,22 +21,10 @@ export const addSocketConnectedEventListener = () => { dispatch(receivedOpenAPISchema()); } + dispatch(api.util.resetApiState()); + // pass along the socket event as an application action dispatch(appSocketConnected(action.payload)); - - // update all server state - dispatch( - 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(appInfoApi.util.invalidateTags(['AppConfig', 'AppVersion'])); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts index dfbdd25595..05ff8cd0e6 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketDisconnected.ts @@ -1,4 +1,5 @@ import { logger } from 'app/logging/logger'; +import { api } from 'services/api'; import { appSocketDisconnected, socketDisconnected, @@ -11,6 +12,9 @@ export const addSocketDisconnectedEventListener = () => { effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug('Disconnected'); + + dispatch(api.util.resetApiState()); + // pass along the socket event as an application action dispatch(appSocketDisconnected(action.payload)); }, diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts index 72fa317037..44d6ceed63 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketGeneratorProgress.ts @@ -8,25 +8,11 @@ import { startAppListening } from '../..'; export const addGeneratorProgressEventListener = () => { startAppListening({ actionCreator: socketGeneratorProgress, - effect: (action, { dispatch, getState }) => { + effect: (action, { dispatch }) => { const log = logger('socketio'); - if ( - getState().system.canceledSession === - action.payload.data.graph_execution_state_id - ) { - log.trace( - action.payload, - 'Ignored generator progress for canceled session' - ); - return; - } - log.trace( - action.payload, - `Generator progress (${action.payload.data.node.type})` - ); + log.trace(action.payload, `Generator progress`); - // pass along the socket event as an application action dispatch(appSocketGeneratorProgress(action.payload)); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts index 5501f208fd..b6d8acc82e 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts @@ -8,10 +8,8 @@ import { } from 'features/gallery/store/gallerySlice'; import { IMAGE_CATEGORIES } from 'features/gallery/store/types'; import { CANVAS_OUTPUT } from 'features/nodes/util/graphBuilders/constants'; -import { progressImageSet } from 'features/system/store/systemSlice'; import { imagesApi } from 'services/api/endpoints/images'; import { isImageOutput } from 'services/api/guards'; -import { sessionCanceled } from 'services/api/thunks/session'; import { imagesAdapter } from 'services/api/util'; import { appSocketInvocationComplete, @@ -31,16 +29,8 @@ export const addInvocationCompleteEventListener = () => { { data: parseify(data) }, `Invocation complete (${action.payload.data.node.type})` ); - const session_id = action.payload.data.graph_execution_state_id; - const { cancelType, isCancelScheduled } = getState().system; - - // Handle scheduled cancelation - if (cancelType === 'scheduled' && isCancelScheduled) { - dispatch(sessionCanceled({ session_id })); - } - - const { result, node, graph_execution_state_id } = data; + const { result, node, queue_batch_id } = data; // This complete event has an associated image output if (isImageOutput(result) && !nodeDenylist.includes(node.type)) { @@ -53,8 +43,7 @@ export const addInvocationCompleteEventListener = () => { // Add canvas images to the staging area if ( - graph_execution_state_id === - canvas.layerState.stagingArea.sessionId && + canvas.batchIds.includes(queue_batch_id) && [CANVAS_OUTPUT].includes(data.source_node_id) ) { dispatch(addImageToStagingArea(imageDTO)); @@ -114,8 +103,6 @@ export const addInvocationCompleteEventListener = () => { dispatch(imageSelected(imageDTO)); } } - - dispatch(progressImageSet(null)); } // pass along the socket event as an application action dispatch(appSocketInvocationComplete(action.payload)); 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 4e77811762..50f52e2851 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 @@ -8,23 +8,14 @@ import { startAppListening } from '../..'; export const addInvocationStartedEventListener = () => { startAppListening({ actionCreator: socketInvocationStarted, - effect: (action, { dispatch, getState }) => { + effect: (action, { dispatch }) => { const log = logger('socketio'); - if ( - getState().system.canceledSession === - action.payload.data.graph_execution_state_id - ) { - log.trace( - action.payload, - 'Ignored invocation started for canceled session' - ); - return; - } log.debug( action.payload, `Invocation started (${action.payload.data.node.type})` ); + dispatch(appSocketInvocationStarted(action.payload)); }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts new file mode 100644 index 0000000000..b0377e950b --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketQueueItemStatusChanged.ts @@ -0,0 +1,53 @@ +import { logger } from 'app/logging/logger'; +import { queueApi, queueItemsAdapter } from 'services/api/endpoints/queue'; +import { + appSocketQueueItemStatusChanged, + socketQueueItemStatusChanged, +} from 'services/events/actions'; +import { startAppListening } from '../..'; + +export const addSocketQueueItemStatusChangedEventListener = () => { + startAppListening({ + actionCreator: socketQueueItemStatusChanged, + effect: async (action, { dispatch }) => { + const log = logger('socketio'); + const { + queue_item_id: item_id, + queue_batch_id, + status, + } = action.payload.data; + log.debug( + action.payload, + `Queue item ${item_id} status updated: ${status}` + ); + dispatch(appSocketQueueItemStatusChanged(action.payload)); + + dispatch( + queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => { + queueItemsAdapter.updateOne(draft, { + id: item_id, + changes: action.payload.data, + }); + }) + ); + + dispatch( + queueApi.util.invalidateTags([ + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + { type: 'SessionQueueItem', id: item_id }, + { type: 'SessionQueueItemDTO', id: item_id }, + { type: 'BatchStatus', id: queue_batch_id }, + ]) + ); + + const req = dispatch( + queueApi.endpoints.getQueueStatus.initiate(undefined, { + forceRefetch: true, + }) + ); + await req.unwrap(); + req.unsubscribe(); + }, + }); +}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts index a05527790e..1f9354ee67 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketSubscribed.ts @@ -1,14 +1,17 @@ import { logger } from 'app/logging/logger'; -import { appSocketSubscribed, socketSubscribed } from 'services/events/actions'; +import { + appSocketSubscribedSession, + socketSubscribedSession, +} from 'services/events/actions'; import { startAppListening } from '../..'; export const addSocketSubscribedEventListener = () => { startAppListening({ - actionCreator: socketSubscribed, + actionCreator: socketSubscribedSession, effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug(action.payload, 'Subscribed'); - dispatch(appSocketSubscribed(action.payload)); + dispatch(appSocketSubscribedSession(action.payload)); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts index a8076ee1b7..2f4f65edc6 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketUnsubscribed.ts @@ -1,17 +1,17 @@ import { logger } from 'app/logging/logger'; import { - appSocketUnsubscribed, - socketUnsubscribed, + appSocketUnsubscribedSession, + socketUnsubscribedSession, } from 'services/events/actions'; import { startAppListening } from '../..'; export const addSocketUnsubscribedEventListener = () => { startAppListening({ - actionCreator: socketUnsubscribed, + actionCreator: socketUnsubscribedSession, effect: (action, { dispatch }) => { const log = logger('socketio'); log.debug(action.payload, 'Unsubscribed'); - dispatch(appSocketUnsubscribed(action.payload)); + dispatch(appSocketUnsubscribedSession(action.payload)); }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts index 75980a65e4..61ecc61a03 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/upscaleRequested.ts @@ -1,7 +1,10 @@ import { createAction } from '@reduxjs/toolkit'; +import { logger } from 'app/logging/logger'; +import { parseify } from 'common/util/serialize'; import { buildAdHocUpscaleGraph } from 'features/nodes/util/graphBuilders/buildAdHocUpscaleGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; import { startAppListening } from '..'; export const upscaleRequested = createAction<{ image_name: string }>( @@ -11,7 +14,9 @@ export const upscaleRequested = createAction<{ image_name: string }>( export const addUpscaleRequestedListener = () => { startAppListening({ actionCreator: upscaleRequested, - effect: async (action, { dispatch, getState, take }) => { + effect: async (action, { dispatch, getState }) => { + const log = logger('session'); + const { image_name } = action.payload; const { esrganModelName } = getState().postprocessing; @@ -20,12 +25,31 @@ export const addUpscaleRequestedListener = () => { esrganModelName, }); - // Create a session to run the graph & wait til it's ready to invoke - dispatch(sessionCreated({ graph })); + try { + const req = dispatch( + queueApi.endpoints.enqueueGraph.initiate( + { graph, prepend: true }, + { + fixedCacheKey: 'enqueueGraph', + } + ) + ); - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); + const enqueueResult = await req.unwrap(); + req.reset(); + log.debug( + { enqueueResult: parseify(enqueueResult) }, + t('queue.graphQueued') + ); + } catch { + log.error({ graph: parseify(graph) }, t('queue.graphFailedToQueue')); + dispatch( + addToast({ + title: t('queue.graphFailedToQueue'), + status: 'error', + }) + ); + } }, }); }; 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 deleted file mode 100644 index b0172e693b..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedImageToImage.ts +++ /dev/null @@ -1,38 +0,0 @@ -import { logger } from 'app/logging/logger'; -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 '..'; - -export const addUserInvokedImageToImageListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'img2img', - 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); - } - - dispatch(imageToImageGraphBuilt(graph)); - log.debug({ graph: parseify(graph) }, 'Image to Image graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts deleted file mode 100644 index 5894bba5df..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts +++ /dev/null @@ -1,29 +0,0 @@ -import { logger } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; -import { parseify } from 'common/util/serialize'; -import { nodesGraphBuilt } from 'features/nodes/store/actions'; -import { buildNodesGraph } from 'features/nodes/util/graphBuilders/buildNodesGraph'; -import { sessionReadyToInvoke } from 'features/system/store/actions'; -import { sessionCreated } from 'services/api/thunks/session'; -import { startAppListening } from '..'; - -export const addUserInvokedNodesListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'nodes', - effect: async (action, { getState, dispatch, take }) => { - const log = logger('session'); - const state = getState(); - - const graph = buildNodesGraph(state.nodes); - dispatch(nodesGraphBuilt(graph)); - log.debug({ graph: parseify(graph) }, 'Nodes graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; 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 deleted file mode 100644 index f1cdabcabd..0000000000 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedTextToImage.ts +++ /dev/null @@ -1,39 +0,0 @@ -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'; -import { startAppListening } from '..'; - -export const addUserInvokedTextToImageListener = () => { - startAppListening({ - predicate: (action): action is ReturnType => - userInvoked.match(action) && action.payload === 'txt2img', - 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 = buildLinearSDXLTextToImageGraph(state); - } else { - graph = buildLinearTextToImageGraph(state); - } - - dispatch(textToImageGraphBuilt(graph)); - - log.debug({ graph: parseify(graph) }, 'Text to Image graph built'); - - dispatch(sessionCreated({ graph })); - - await take(sessionCreated.fulfilled.match); - - dispatch(sessionReadyToInvoke()); - }, - }); -}; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts new file mode 100644 index 0000000000..1d5a1232c8 --- /dev/null +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/util/enqueueBatch.ts @@ -0,0 +1,54 @@ +import { logger } from 'app/logging/logger'; +import { AppThunkDispatch } from 'app/store/store'; +import { parseify } from 'common/util/serialize'; +import { addToast } from 'features/system/store/systemSlice'; +import { t } from 'i18next'; +import { queueApi } from 'services/api/endpoints/queue'; +import { BatchConfig } from 'services/api/types'; + +export const enqueueBatch = async ( + batchConfig: BatchConfig, + dispatch: AppThunkDispatch +) => { + const log = logger('session'); + const { prepend } = batchConfig; + + try { + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(batchConfig, { + fixedCacheKey: 'enqueueBatch', + }) + ); + const enqueueResult = await req.unwrap(); + req.reset(); + + dispatch( + queueApi.endpoints.resumeProcessor.initiate(undefined, { + fixedCacheKey: 'resumeProcessor', + }) + ); + + log.debug({ enqueueResult: parseify(enqueueResult) }, 'Batch enqueued'); + dispatch( + addToast({ + title: t('queue.batchQueued'), + description: t('queue.batchQueuedDesc', { + item_count: enqueueResult.enqueued, + direction: prepend ? t('queue.front') : t('queue.back'), + }), + status: 'success', + }) + ); + } catch { + log.error( + { batchConfig: parseify(batchConfig) }, + t('queue.batchFailedToQueue') + ); + dispatch( + addToast({ + title: t('queue.batchFailedToQueue'), + status: 'error', + }) + ); + } +}; diff --git a/invokeai/frontend/web/src/app/store/nanostores/store.ts b/invokeai/frontend/web/src/app/store/nanostores/store.ts new file mode 100644 index 0000000000..c9f041fa5d --- /dev/null +++ b/invokeai/frontend/web/src/app/store/nanostores/store.ts @@ -0,0 +1,5 @@ +import { Store } from '@reduxjs/toolkit'; +import { atom } from 'nanostores'; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +export const $store = atom | undefined>(); diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts index f84f3dd9c7..b9bbe4f06b 100644 --- a/invokeai/frontend/web/src/app/store/store.ts +++ b/invokeai/frontend/web/src/app/store/store.ts @@ -18,6 +18,7 @@ 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 queueReducer from 'features/queue/store/queueSlice'; import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice'; import hotkeysReducer from 'features/ui/store/hotkeysSlice'; import uiReducer from 'features/ui/store/uiSlice'; @@ -31,6 +32,7 @@ import { actionSanitizer } from './middleware/devtools/actionSanitizer'; import { actionsDenylist } from './middleware/devtools/actionsDenylist'; import { stateSanitizer } from './middleware/devtools/stateSanitizer'; import { listenerMiddleware } from './middleware/listenerMiddleware'; +import { $store } from './nanostores/store'; const allReducers = { canvas: canvasReducer, @@ -49,6 +51,7 @@ const allReducers = { lora: loraReducer, modelmanager: modelmanagerReducer, sdxl: sdxlReducer, + queue: queueReducer, [api.reducerPath]: api.reducer, }; @@ -86,7 +89,10 @@ export const store = configureStore({ .concat(autoBatchEnhancer()); }, middleware: (getDefaultMiddleware) => - getDefaultMiddleware({ immutableCheck: false }) + getDefaultMiddleware({ + serializableCheck: false, + immutableCheck: false, + }) .concat(api.middleware) .concat(dynamicMiddlewares) .prepend(listenerMiddleware.middleware), @@ -121,3 +127,4 @@ export type RootState = ReturnType; export type AppThunkDispatch = ThunkDispatch; export type AppDispatch = typeof store.dispatch; export const stateSelector = (state: RootState) => state; +$store.set(store); diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts index a02c16cf7a..ca2e80535c 100644 --- a/invokeai/frontend/web/src/app/types/invokeai.ts +++ b/invokeai/frontend/web/src/app/types/invokeai.ts @@ -18,7 +18,10 @@ export type AppFeature = | 'dynamicPrompting' | 'batches' | 'syncModels' - | 'multiselect'; + | 'multiselect' + | 'pauseQueue' + | 'resumeQueue' + | 'prependQueue'; /** * A disable-able Stable Diffusion feature diff --git a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx index a150e4ed0c..ca61ea847f 100644 --- a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx +++ b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx @@ -1,7 +1,7 @@ import { As, - ChakraProps, Flex, + FlexProps, Icon, Skeleton, Spinner, @@ -47,15 +47,14 @@ export const IAILoadingImageFallback = (props: Props) => { ); }; -type IAINoImageFallbackProps = { +type IAINoImageFallbackProps = FlexProps & { label?: string; icon?: As | null; boxSize?: StyleProps['boxSize']; - sx?: ChakraProps['sx']; }; export const IAINoContentFallback = (props: IAINoImageFallbackProps) => { - const { icon = FaImage, boxSize = 16 } = props; + const { icon = FaImage, boxSize = 16, sx, ...rest } = props; return ( { _dark: { color: 'base.500', }, - ...props.sx, + ...sx, }} + {...rest} > {icon && } {props.label && {props.label}} diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx new file mode 100644 index 0000000000..bbfccf7c0d --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover.tsx @@ -0,0 +1,112 @@ +import { + Button, + Popover, + PopoverTrigger, + PopoverContent, + PopoverArrow, + PopoverCloseButton, + PopoverHeader, + PopoverBody, + PopoverProps, + Flex, + Text, + Image, +} from '@chakra-ui/react'; +import { useAppSelector } from '../../app/store/storeHooks'; +import { useTranslation } from 'react-i18next'; + +interface Props extends PopoverProps { + details: string; + children: JSX.Element; + image?: string; + buttonLabel?: string; + buttonHref?: string; + placement?: PopoverProps['placement']; +} + +function IAIInformationalPopover({ + details, + image, + buttonLabel, + buttonHref, + children, + placement, +}: Props): JSX.Element { + const shouldDisableInformationalPopovers = useAppSelector( + (state) => state.system.shouldDisableInformationalPopovers + ); + const { t } = useTranslation(); + + const heading = t(`popovers.${details}.heading`); + const paragraph = t(`popovers.${details}.paragraph`); + + if (shouldDisableInformationalPopovers) { + return children; + } else { + return ( + + +
{children}
+ + + + + + + + {image && ( + Optional Image + )} + + {heading && {heading}} + {paragraph} + {buttonLabel && ( + + + + )} + + + + + + ); + } +} + +export default IAIInformationalPopover; diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx new file mode 100644 index 0000000000..a61268c99e --- /dev/null +++ b/invokeai/frontend/web/src/common/components/IAIMantineSelectItemWithDescription.tsx @@ -0,0 +1,29 @@ +import { Box, Text } from '@chakra-ui/react'; +import { forwardRef, memo } from 'react'; + +interface ItemProps extends React.ComponentPropsWithoutRef<'div'> { + label: string; + value: string; + description?: string; +} + +const IAIMantineSelectItemWithDescription = forwardRef< + HTMLDivElement, + ItemProps +>(({ label, description, ...rest }: ItemProps, ref) => ( + + + {label} + {description && ( + + {description} + + )} + + +)); + +IAIMantineSelectItemWithDescription.displayName = + 'IAIMantineSelectItemWithDescription'; + +export default memo(IAIMantineSelectItemWithDescription); diff --git a/invokeai/frontend/web/src/common/components/ImageUploader.tsx b/invokeai/frontend/web/src/common/components/ImageUploader.tsx index bb341a63f6..59349e615d 100644 --- a/invokeai/frontend/web/src/common/components/ImageUploader.tsx +++ b/invokeai/frontend/web/src/common/components/ImageUploader.tsx @@ -4,7 +4,6 @@ import { useAppToaster } from 'app/components/Toaster'; import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { AnimatePresence, motion } from 'framer-motion'; import { @@ -51,7 +50,6 @@ type ImageUploaderProps = { const ImageUploader = (props: ImageUploaderProps) => { const { children } = props; const { autoAddBoardId, postUploadAction } = useAppSelector(selector); - const isBusy = useAppSelector(selectIsBusy); const toaster = useAppToaster(); const { t } = useTranslation(); const [isHandlingUpload, setIsHandlingUpload] = useState(false); @@ -106,6 +104,10 @@ const ImageUploader = (props: ImageUploaderProps) => { [t, toaster, fileAcceptedCallback, fileRejectionCallback] ); + const onDragOver = useCallback(() => { + setIsHandlingUpload(true); + }, []); + const { getRootProps, getInputProps, @@ -117,8 +119,7 @@ const ImageUploader = (props: ImageUploaderProps) => { accept: { 'image/png': ['.png'], 'image/jpeg': ['.jpg', '.jpeg', '.png'] }, noClick: true, onDrop, - onDragOver: () => setIsHandlingUpload(true), - disabled: isBusy, + onDragOver, multiple: false, }); diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts similarity index 84% rename from invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts rename to invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts index dd21afe459..77afeb4161 100644 --- a/invokeai/frontend/web/src/common/hooks/useIsReadyToInvoke.ts +++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts @@ -4,25 +4,22 @@ import { useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { isInvocationNode } from 'features/nodes/types/types'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import i18n from 'i18next'; import { forEach, map } from 'lodash-es'; import { getConnectedEdges } from 'reactflow'; -import i18n from 'i18next'; const selector = createSelector( [stateSelector, activeTabNameSelector], - (state, activeTabName) => { - const { generation, system, nodes } = state; + ( + { controlNet, generation, system, nodes, dynamicPrompts }, + activeTabName + ) => { const { initialImage, model } = generation; - const { isProcessing, isConnected } = system; + const { isConnected } = system; const reasons: string[] = []; - // Cannot generate if already processing an image - if (isProcessing) { - reasons.push(i18n.t('parameters.invoke.systemBusy')); - } - // Cannot generate if not connected if (!isConnected) { reasons.push(i18n.t('parameters.invoke.systemDisconnected')); @@ -82,12 +79,16 @@ const selector = createSelector( }); } } else { + if (dynamicPrompts.prompts.length === 0) { + reasons.push(i18n.t('parameters.invoke.noPrompts')); + } + if (!model) { reasons.push(i18n.t('parameters.invoke.noModelSelected')); } - if (state.controlNet.isEnabled) { - map(state.controlNet.controlNets).forEach((controlNet, i) => { + if (controlNet.isEnabled) { + map(controlNet.controlNets).forEach((controlNet, i) => { if (!controlNet.isEnabled) { return; } @@ -112,12 +113,12 @@ const selector = createSelector( } } - return { isReady: !reasons.length, isProcessing, reasons }; + return { isReady: !reasons.length, reasons }; }, defaultSelectorOptions ); -export const useIsReadyToInvoke = () => { - const { isReady, isProcessing, reasons } = useAppSelector(selector); - return { isReady, isProcessing, reasons }; +export const useIsReadyToEnqueue = () => { + const { isReady, reasons } = useAppSelector(selector); + return { isReady, reasons }; }; diff --git a/invokeai/frontend/web/src/common/util/generateSeeds.ts b/invokeai/frontend/web/src/common/util/generateSeeds.ts new file mode 100644 index 0000000000..ae74f80810 --- /dev/null +++ b/invokeai/frontend/web/src/common/util/generateSeeds.ts @@ -0,0 +1,28 @@ +import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from 'app/constants'; +import { random } from 'lodash-es'; + +export type GenerateSeedsArg = { + count: number; + start?: number; + min?: number; + max?: number; +}; + +export const generateSeeds = ({ + count, + start, + min = NUMPY_RAND_MIN, + max = NUMPY_RAND_MAX, +}: GenerateSeedsArg) => { + const first = start ?? random(min, max); + const seeds: number[] = []; + for (let i = first; i < first + count; i++) { + seeds.push(i % max); + } + return seeds; +}; + +export const generateOneSeed = ( + min: number = NUMPY_RAND_MIN, + max: number = NUMPY_RAND_MAX +) => random(min, max); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx index 4a67898942..e2f20f99a2 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvas.tsx @@ -153,8 +153,8 @@ const IAICanvas = () => { }); resizeObserver.observe(containerRef.current); - - dispatch(canvasResized(containerRef.current.getBoundingClientRect())); + const { width, height } = containerRef.current.getBoundingClientRect(); + dispatch(canvasResized({ width, height })); return () => { resizeObserver.disconnect(); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx index b636ef9528..0febf7fb21 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasIntermediateImage.tsx @@ -1,23 +1,24 @@ import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { ImageConfig } from 'konva/lib/shapes/Image'; import { isEqual } from 'lodash-es'; - import { memo, useEffect, useState } from 'react'; import { Image as KonvaImage } from 'react-konva'; -import { canvasSelector } from '../store/canvasSelectors'; const selector = createSelector( - [systemSelector, canvasSelector], - (system, canvas) => { - const { progressImage, sessionId } = system; - const { sessionId: canvasSessionId, boundingBox } = - canvas.layerState.stagingArea; + [stateSelector], + ({ system, canvas }) => { + const { denoiseProgress } = system; + const { boundingBox } = canvas.layerState.stagingArea; + const { batchIds } = canvas; return { boundingBox, - progressImage: sessionId === canvasSessionId ? progressImage : undefined, + progressImage: + denoiseProgress && batchIds.includes(denoiseProgress.batch_id) + ? denoiseProgress.progress_image + : undefined, }; }, { diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx index cc15141d38..3e617f8767 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStagingAreaToolbar.tsx @@ -11,8 +11,9 @@ import { setShouldShowStagingImage, setShouldShowStagingOutline, } from 'features/canvas/store/canvasSlice'; -import { isEqual } from 'lodash-es'; +import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { memo, useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; @@ -25,16 +26,15 @@ import { FaPlus, FaSave, } from 'react-icons/fa'; -import { stagingAreaImageSaved } from '../store/actions'; import { useGetImageDTOQuery } from 'services/api/endpoints/images'; -import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { stagingAreaImageSaved } from '../store/actions'; const selector = createSelector( [canvasSelector], (canvas) => { const { layerState: { - stagingArea: { images, selectedImageIndex, sessionId }, + stagingArea: { images, selectedImageIndex }, }, shouldShowStagingOutline, shouldShowStagingImage, @@ -47,14 +47,9 @@ const selector = createSelector( isOnLastImage: selectedImageIndex === images.length - 1, shouldShowStagingImage, shouldShowStagingOutline, - sessionId, }; }, - { - memoizeOptions: { - resultEqualityCheck: isEqual, - }, - } + defaultSelectorOptions ); const IAICanvasStagingAreaToolbar = () => { @@ -64,7 +59,6 @@ const IAICanvasStagingAreaToolbar = () => { isOnLastImage, currentStagingAreaImage, shouldShowStagingImage, - sessionId, } = useAppSelector(selector); const { t } = useTranslation(); @@ -121,8 +115,8 @@ const IAICanvasStagingAreaToolbar = () => { ); const handleAccept = useCallback( - () => dispatch(commitStagingAreaImage(sessionId)), - [dispatch, sessionId] + () => dispatch(commitStagingAreaImage()), + [dispatch] ); const { data: imageDTO } = useGetImageDTOQuery( diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx index 72f4a19479..18ded1c9c7 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx @@ -1,24 +1,23 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { useHotkeys } from 'react-hotkeys-hook'; import { FaRedo } from 'react-icons/fa'; import { redo } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; +import { stateSelector } from 'app/store/store'; import { isEqual } from 'lodash-es'; import { useTranslation } from 'react-i18next'; const canvasRedoSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => { + [stateSelector, activeTabNameSelector], + ({ canvas }, activeTabName) => { const { futureLayerStates } = canvas; return { - canRedo: futureLayerStates.length > 0 && !system.isProcessing, + canRedo: futureLayerStates.length > 0, activeTabName, }; }, diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx index 10e01ccac4..6a7db0e5f2 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx @@ -1,14 +1,12 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIColorPicker from 'common/components/IAIColorPicker'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIPopover from 'common/components/IAIPopover'; import IAISlider from 'common/components/IAISlider'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { addEraseRect, addFillRect, @@ -16,7 +14,6 @@ import { setBrushSize, setTool, } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { clamp, isEqual } from 'lodash-es'; import { memo } from 'react'; @@ -32,15 +29,13 @@ import { } from 'react-icons/fa'; export const selector = createSelector( - [canvasSelector, isStagingSelector, systemSelector], - (canvas, isStaging, system) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool, brushColor, brushSize } = canvas; return { tool, isStaging, - isProcessing, brushColor, brushSize, }; 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 49ce63d25f..617fedf0f0 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx @@ -1,5 +1,6 @@ import { Box, ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; @@ -11,10 +12,7 @@ import { canvasMerged, canvasSavedToGallery, } from 'features/canvas/store/actions'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { resetCanvas, resetCanvasView, @@ -27,9 +25,9 @@ import { LAYER_NAMES_DICT, } 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 { memo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { @@ -47,17 +45,14 @@ import IAICanvasRedoButton from './IAICanvasRedoButton'; import IAICanvasSettingsButtonPopover from './IAICanvasSettingsButtonPopover'; import IAICanvasToolChooserOptions from './IAICanvasToolChooserOptions'; import IAICanvasUndoButton from './IAICanvasUndoButton'; -import { memo } from 'react'; export const selector = createSelector( - [systemSelector, canvasSelector, isStagingSelector], - (system, canvas, isStaging) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool, shouldCropToBoundingBoxOnSave, layer, isMaskEnabled } = canvas; return { - isProcessing, isStaging, isMaskEnabled, tool, @@ -74,8 +69,7 @@ export const selector = createSelector( const IAICanvasToolbar = () => { const dispatch = useAppDispatch(); - const { isProcessing, isStaging, isMaskEnabled, layer, tool } = - useAppSelector(selector); + const { isStaging, isMaskEnabled, layer, tool } = useAppSelector(selector); const canvasBaseLayer = getCanvasBaseLayer(); const { t } = useTranslation(); @@ -118,7 +112,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); useHotkeys( @@ -130,7 +124,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); useHotkeys( @@ -142,7 +136,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] + [canvasBaseLayer, isClipboardAPIAvailable] ); useHotkeys( @@ -154,7 +148,7 @@ const IAICanvasToolbar = () => { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [canvasBaseLayer] ); const handleSelectMoveTool = () => dispatch(setTool('move')); diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx index 9feb2dfcb5..126470a9e8 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx @@ -1,24 +1,23 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { useHotkeys } from 'react-hotkeys-hook'; import { FaUndo } from 'react-icons/fa'; import { undo } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { isEqual } from 'lodash-es'; import { useTranslation } from 'react-i18next'; +import { stateSelector } from 'app/store/store'; const canvasUndoSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => { + [stateSelector, activeTabNameSelector], + ({ canvas }, activeTabName) => { const { pastLayerStates } = canvas; return { - canUndo: pastLayerStates.length > 0 && !system.isProcessing, + canUndo: pastLayerStates.length > 0, activeTabName, }; }, diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts index dbcdde00d5..46bf7db3d0 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasSelectors.ts @@ -1,16 +1,12 @@ import { createSelector } from '@reduxjs/toolkit'; -import { RootState } from 'app/store/store'; -import { systemSelector } from 'features/system/store/systemSelectors'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { RootState, stateSelector } from 'app/store/store'; import { CanvasImage, CanvasState, isCanvasBaseImage } from './canvasTypes'; export const canvasSelector = (state: RootState): CanvasState => state.canvas; export const isStagingSelector = createSelector( - [canvasSelector, activeTabNameSelector, systemSelector], - (canvas, activeTabName, system) => - canvas.layerState.stagingArea.images.length > 0 || - (activeTabName === 'unifiedCanvas' && system.isProcessing) + [stateSelector], + ({ canvas }) => canvas.layerState.stagingArea.images.length > 0 ); export const initialCanvasImageSelector = ( diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts index fb908fa601..b726e757f6 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts @@ -85,6 +85,7 @@ export const initialCanvasState: CanvasState = { stageDimensions: { width: 0, height: 0 }, stageScale: 1, tool: 'brush', + batchIds: [], }; export const canvasSlice = createSlice({ @@ -297,18 +298,22 @@ export const canvasSlice = createSlice({ setIsMoveStageKeyHeld: (state, action: PayloadAction) => { state.isMoveStageKeyHeld = action.payload; }, - canvasSessionIdChanged: (state, action: PayloadAction) => { - state.layerState.stagingArea.sessionId = action.payload; + canvasBatchIdAdded: (state, action: PayloadAction) => { + state.batchIds.push(action.payload); + }, + canvasBatchIdsReset: (state) => { + state.batchIds = []; }, stagingAreaInitialized: ( state, - action: PayloadAction<{ sessionId: string; boundingBox: IRect }> + action: PayloadAction<{ + boundingBox: IRect; + }> ) => { - const { sessionId, boundingBox } = action.payload; + const { boundingBox } = action.payload; state.layerState.stagingArea = { boundingBox, - sessionId, images: [], selectedImageIndex: -1, }; @@ -632,10 +637,7 @@ export const canvasSlice = createSlice({ 0 ); }, - commitStagingAreaImage: ( - state, - _action: PayloadAction - ) => { + commitStagingAreaImage: (state) => { if (!state.layerState.stagingArea.images.length) { return; } @@ -869,9 +871,10 @@ export const { setScaledBoundingBoxDimensions, setShouldRestrictStrokesToBox, stagingAreaInitialized, - canvasSessionIdChanged, setShouldAntialias, canvasResized, + canvasBatchIdAdded, + canvasBatchIdsReset, } = 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 1b4eca329d..875157d36a 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts @@ -89,7 +89,6 @@ export type CanvasLayerState = { stagingArea: { images: CanvasImage[]; selectedImageIndex: number; - sessionId?: string; boundingBox?: IRect; }; }; @@ -166,6 +165,7 @@ export interface CanvasState { stageScale: number; tool: CanvasTool; generationMode?: GenerationMode; + batchIds: string[]; } export type GenerationMode = 'txt2img' | 'img2img' | 'inpaint' | 'outpaint'; diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx index d40a234495..13ceaf4173 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx @@ -18,6 +18,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIIconButton from 'common/components/IAIIconButton'; import IAISwitch from 'common/components/IAISwitch'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useTranslation } from 'react-i18next'; import { useToggle } from 'react-use'; import { v4 as uuidv4 } from 'uuid'; import ControlNetImagePreview from './ControlNetImagePreview'; @@ -28,7 +29,6 @@ import ParamControlNetBeginEnd from './parameters/ParamControlNetBeginEnd'; import ParamControlNetControlMode from './parameters/ParamControlNetControlMode'; import ParamControlNetProcessorSelect from './parameters/ParamControlNetProcessorSelect'; import ParamControlNetResizeMode from './parameters/ParamControlNetResizeMode'; -import { useTranslation } from 'react-i18next'; type ControlNetProps = { controlNet: ControlNetConfig; diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx index 95a4f968e5..7a9d2f8b10 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetPreprocessButton.tsx @@ -3,7 +3,7 @@ import { memo, useCallback } from 'react'; import { ControlNetConfig } from '../store/controlNetSlice'; import { useAppDispatch } from 'app/store/storeHooks'; import { controlNetImageProcessed } from '../store/actions'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; type Props = { controlNet: ControlNetConfig; @@ -12,7 +12,7 @@ type Props = { const ControlNetPreprocessButton = (props: Props) => { const { controlNetId, controlImage } = props.controlNet; const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); + const isReady = useIsReadyToEnqueue(); const handleProcess = useCallback(() => { dispatch( diff --git a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx index 76f1cb9dfe..2f44051fea 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx @@ -1,10 +1,9 @@ -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAISwitch from 'common/components/IAISwitch'; import { ControlNetConfig, controlNetAutoConfigToggled, } from 'features/controlNet/store/controlNetSlice'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; @@ -15,7 +14,6 @@ type Props = { const ParamControlNetShouldAutoConfig = (props: Props) => { const { controlNetId, isEnabled, shouldAutoConfig } = props.controlNet; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleShouldAutoConfigChanged = useCallback(() => { @@ -28,7 +26,7 @@ const ParamControlNetShouldAutoConfig = (props: Props) => { aria-label={t('controlnet.autoConfigure')} isChecked={shouldAutoConfig} onChange={handleShouldAutoConfigChanged} - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx new file mode 100644 index 0000000000..b0a1fcc731 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/IPAdapterPanel.tsx @@ -0,0 +1,35 @@ +import { Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import ParamIPAdapterBeginEnd from './ParamIPAdapterBeginEnd'; +import ParamIPAdapterFeatureToggle from './ParamIPAdapterFeatureToggle'; +import ParamIPAdapterImage from './ParamIPAdapterImage'; +import ParamIPAdapterModelSelect from './ParamIPAdapterModelSelect'; +import ParamIPAdapterWeight from './ParamIPAdapterWeight'; + +const IPAdapterPanel = () => { + return ( + + + + + + + + ); +}; + +export default memo(IPAdapterPanel); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx new file mode 100644 index 0000000000..5bef23b66c --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterBeginEnd.tsx @@ -0,0 +1,100 @@ +import { + FormControl, + FormLabel, + HStack, + RangeSlider, + RangeSliderFilledTrack, + RangeSliderMark, + RangeSliderThumb, + RangeSliderTrack, + Tooltip, +} from '@chakra-ui/react'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { + ipAdapterBeginStepPctChanged, + ipAdapterEndStepPctChanged, +} from 'features/controlNet/store/controlNetSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; + +const formatPct = (v: number) => `${Math.round(v * 100)}%`; + +const ParamIPAdapterBeginEnd = () => { + const isEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + const beginStepPct = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.beginStepPct + ); + const endStepPct = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.endStepPct + ); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const handleStepPctChanged = useCallback( + (v: number[]) => { + dispatch(ipAdapterBeginStepPctChanged(v[0] as number)); + dispatch(ipAdapterEndStepPctChanged(v[1] as number)); + }, + [dispatch] + ); + + return ( + + {t('controlnet.beginEndStepPercent')} + + + + + + + + + + + + + 0% + + + 50% + + + 100% + + + + + ); +}; + +export default memo(ParamIPAdapterBeginEnd); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx similarity index 51% rename from invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx rename to invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx index a1d16b5361..c077e7a824 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsEnabled.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterFeatureToggle.tsx @@ -3,36 +3,39 @@ import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAISwitch from 'common/components/IAISwitch'; +import { isIPAdapterEnableToggled } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; -import { isEnabledToggled } from '../store/dynamicPromptsSlice'; import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { isEnabled } = state.dynamicPrompts; + const { isIPAdapterEnabled } = state.controlNet; - return { isEnabled }; + return { isIPAdapterEnabled }; }, defaultSelectorOptions ); -const ParamDynamicPromptsToggle = () => { +const ParamIPAdapterFeatureToggle = () => { + const { isIPAdapterEnabled } = useAppSelector(selector); const dispatch = useAppDispatch(); - const { isEnabled } = useAppSelector(selector); const { t } = useTranslation(); - const handleToggleIsEnabled = useCallback(() => { - dispatch(isEnabledToggled()); + const handleChange = useCallback(() => { + dispatch(isIPAdapterEnableToggled()); }, [dispatch]); return ( ); }; -export default memo(ParamDynamicPromptsToggle); +export default memo(ParamIPAdapterFeatureToggle); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx new file mode 100644 index 0000000000..ed92705c23 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterImage.tsx @@ -0,0 +1,93 @@ +import { Flex } from '@chakra-ui/react'; +import { skipToken } from '@reduxjs/toolkit/dist/query'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIDndImage from 'common/components/IAIDndImage'; +import IAIDndImageIcon from 'common/components/IAIDndImageIcon'; +import { IAINoContentFallback } from 'common/components/IAIImageFallback'; +import { ipAdapterImageChanged } from 'features/controlNet/store/controlNetSlice'; +import { + TypesafeDraggableData, + TypesafeDroppableData, +} from 'features/dnd/types'; +import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaUndo } from 'react-icons/fa'; +import { useGetImageDTOQuery } from 'services/api/endpoints/images'; +import { PostUploadAction } from 'services/api/types'; + +const ParamIPAdapterImage = () => { + const ipAdapterInfo = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo + ); + + const isIPAdapterEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const { currentData: imageDTO } = useGetImageDTOQuery( + ipAdapterInfo.adapterImage?.image_name ?? skipToken + ); + + const draggableData = useMemo(() => { + if (imageDTO) { + return { + id: 'ip-adapter-image', + payloadType: 'IMAGE_DTO', + payload: { imageDTO }, + }; + } + }, [imageDTO]); + + const droppableData = useMemo( + () => ({ + id: 'ip-adapter-image', + actionType: 'SET_IP_ADAPTER_IMAGE', + }), + [] + ); + + const postUploadAction = useMemo( + () => ({ + type: 'SET_IP_ADAPTER_IMAGE', + }), + [] + ); + + return ( + + + } + /> + + dispatch(ipAdapterImageChanged(null))} + icon={ipAdapterInfo.adapterImage ? : undefined} + tooltip={t('controlnet.resetIPAdapterImage')} + /> + + ); +}; + +export default memo(ParamIPAdapterImage); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx new file mode 100644 index 0000000000..fec1790b53 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterModelSelect.tsx @@ -0,0 +1,97 @@ +import { SelectItem } from '@mantine/core'; +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { ipAdapterModelChanged } from 'features/controlNet/store/controlNetSlice'; +import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; +import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams'; +import { forEach } from 'lodash-es'; +import { memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models'; + +const ParamIPAdapterModelSelect = () => { + const ipAdapterModel = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.model + ); + const model = useAppSelector((state: RootState) => state.generation.model); + + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const { data: ipAdapterModels } = useGetIPAdapterModelsQuery(); + + // grab the full model entity from the RTK Query cache + const selectedModel = useMemo( + () => + ipAdapterModels?.entities[ + `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}` + ] ?? null, + [ + ipAdapterModel?.base_model, + ipAdapterModel?.model_name, + ipAdapterModels?.entities, + ] + ); + + const data = useMemo(() => { + if (!ipAdapterModels) { + return []; + } + + const data: SelectItem[] = []; + + forEach(ipAdapterModels.entities, (ipAdapterModel, id) => { + if (!ipAdapterModel) { + return; + } + + const disabled = model?.base_model !== ipAdapterModel.base_model; + + data.push({ + value: id, + label: ipAdapterModel.model_name, + group: MODEL_TYPE_MAP[ipAdapterModel.base_model], + disabled, + tooltip: disabled + ? `Incompatible base model: ${ipAdapterModel.base_model}` + : undefined, + }); + }); + + return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1)); + }, [ipAdapterModels, model?.base_model]); + + const handleValueChanged = useCallback( + (v: string | null) => { + if (!v) { + return; + } + + const newIPAdapterModel = modelIdToIPAdapterModelParam(v); + + if (!newIPAdapterModel) { + return; + } + + dispatch(ipAdapterModelChanged(newIPAdapterModel)); + }, + [dispatch] + ); + + return ( + + ); +}; + +export default memo(ParamIPAdapterModelSelect); diff --git a/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx new file mode 100644 index 0000000000..df5a9a36a3 --- /dev/null +++ b/invokeai/frontend/web/src/features/controlNet/components/ipAdapter/ParamIPAdapterWeight.tsx @@ -0,0 +1,46 @@ +import { RootState } from 'app/store/store'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAISlider from 'common/components/IAISlider'; +import { ipAdapterWeightChanged } from 'features/controlNet/store/controlNetSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; + +const ParamIPAdapterWeight = () => { + const isIpAdapterEnabled = useAppSelector( + (state: RootState) => state.controlNet.isIPAdapterEnabled + ); + const ipAdapterWeight = useAppSelector( + (state: RootState) => state.controlNet.ipAdapterInfo.weight + ); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + + const handleWeightChanged = useCallback( + (weight: number) => { + dispatch(ipAdapterWeightChanged(weight)); + }, + [dispatch] + ); + + const handleWeightReset = useCallback(() => { + dispatch(ipAdapterWeightChanged(1)); + }, [dispatch]); + + return ( + + ); +}; + +export default memo(ParamIPAdapterWeight); diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx index f34c863cff..fb43c3553d 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx @@ -10,6 +10,7 @@ import { Tooltip, } from '@chakra-ui/react'; import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import { ControlNetConfig, controlNetBeginStepPctChanged, @@ -49,58 +50,60 @@ const ParamControlNetBeginEnd = (props: Props) => { ); return ( - - {t('controlnet.beginEndStepPercent')} - - - - - - - - - - - - + + {t('controlnet.beginEndStepPercent')} + + - 0% - - - 50% - - - 100% - - - - + + + + + + + + + + + 0% + + + 50% + + + 100% + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx index e8f26a6dd1..9b17c2bfb2 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx @@ -1,4 +1,5 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { ControlModes, @@ -34,12 +35,14 @@ export default function ParamControlNetControlMode( ); return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx index 97a54dc7d1..1902d622ff 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetFeatureToggle.tsx @@ -2,6 +2,7 @@ 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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISwitch from 'common/components/IAISwitch'; import { isControlNetEnabledToggled } from 'features/controlNet/store/controlNetSlice'; import { memo, useCallback } from 'react'; @@ -25,14 +26,16 @@ const ParamControlNetFeatureToggle = () => { }, [dispatch]); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx index 180810c99f..5ed82ac501 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx @@ -11,11 +11,10 @@ import { } from 'features/controlNet/store/controlNetSlice'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; import { modelIdToControlNetModelParam } from 'features/parameters/util/modelIdToControlNetModelParam'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { forEach } from 'lodash-es'; import { memo, useCallback, useMemo } from 'react'; -import { useGetControlNetModelsQuery } from 'services/api/endpoints/models'; import { useTranslation } from 'react-i18next'; +import { useGetControlNetModelsQuery } from 'services/api/endpoints/models'; type ParamControlNetModelProps = { controlNet: ControlNetConfig; @@ -33,7 +32,6 @@ const selector = createSelector( const ParamControlNetModel = (props: ParamControlNetModelProps) => { const { controlNetId, model: controlNetModel, isEnabled } = props.controlNet; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); const { mainModel } = useAppSelector(selector); const { t } = useTranslation(); @@ -110,7 +108,7 @@ const ParamControlNetModel = (props: ParamControlNetModelProps) => { placeholder={t('controlnet.selectModel')} value={selectedModel?.id ?? null} onChange={handleModelChanged} - disabled={isBusy || !isEnabled} + disabled={!isEnabled} tooltip={selectedModel?.description} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx index a357547403..9ab2422fa8 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx @@ -6,7 +6,6 @@ import IAIMantineSearchableSelect, { IAISelectDataType, } from 'common/components/IAIMantineSearchableSelect'; import { configSelector } from 'features/system/store/configSelectors'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { map } from 'lodash-es'; import { memo, useCallback } from 'react'; import { CONTROLNET_PROCESSORS } from '../../store/constants'; @@ -56,7 +55,6 @@ const ParamControlNetProcessorSelect = ( ) => { const dispatch = useAppDispatch(); const { controlNetId, isEnabled, processorNode } = props.controlNet; - const isBusy = useAppSelector(selectIsBusy); const controlNetProcessors = useAppSelector(selector); const { t } = useTranslation(); @@ -78,7 +76,7 @@ const ParamControlNetProcessorSelect = ( value={processorNode.type ?? 'canny_image_processor'} data={controlNetProcessors} onChange={handleProcessorTypeChanged} - disabled={isBusy || !isEnabled} + disabled={!isEnabled} /> ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx index f2b2b59785..0ad2f342b2 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx @@ -1,4 +1,5 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { ControlNetConfig, @@ -33,12 +34,14 @@ export default function ParamControlNetResizeMode( ); return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx index 8314f26cfc..4e9928d828 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx @@ -1,4 +1,5 @@ import { useAppDispatch } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { ControlNetConfig, @@ -23,17 +24,19 @@ const ParamControlNetWeight = (props: ParamControlNetWeightProps) => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx index 83539e07da..f4813c0957 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/CannyProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredCannyImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.canny_image_processor .default as RequiredCannyImageProcessorInvocation; @@ -20,7 +18,6 @@ type CannyProcessorProps = { const CannyProcessor = (props: CannyProcessorProps) => { const { controlNetId, processorNode, isEnabled } = props; const { low_threshold, high_threshold } = processorNode; - const isBusy = useAppSelector(selectIsBusy); const processorChanged = useProcessorNodeChanged(); const { t } = useTranslation(); @@ -53,7 +50,7 @@ const CannyProcessor = (props: CannyProcessorProps) => { return ( { withSliderMarks /> { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, w, h, f } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -101,7 +98,7 @@ const ContentShuffleProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx index 4307563e64..ab8de7b2e0 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/HedProcessor.tsx @@ -1,13 +1,11 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredHedImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.hed_image_processor .default as RequiredHedImageProcessorInvocation; @@ -24,7 +22,6 @@ const HedPreprocessor = (props: HedProcessorProps) => { processorNode: { detect_resolution, image_resolution, scribble }, isEnabled, } = props; - const isBusy = useAppSelector(selectIsBusy); const processorChanged = useProcessorNodeChanged(); const { t } = useTranslation(); @@ -73,7 +70,7 @@ const HedPreprocessor = (props: HedProcessorProps) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx index f9ebe0e8a5..f7970fda75 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartAnimeProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredLineartAnimeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.lineart_anime_image_processor .default as RequiredLineartAnimeImageProcessorInvocation; @@ -21,7 +19,6 @@ const LineartAnimeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -62,7 +59,7 @@ const LineartAnimeProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx index d0fe49b8c2..4879857a64 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/LineartProcessor.tsx @@ -1,13 +1,11 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredLineartImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.lineart_image_processor .default as RequiredLineartImageProcessorInvocation; @@ -22,7 +20,6 @@ const LineartProcessor = (props: LineartProcessorProps) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, coarse } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -70,7 +67,7 @@ const LineartProcessor = (props: LineartProcessorProps) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx index 003af5c275..d1b92a3b4f 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MediapipeFaceProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMediapipeFaceProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.mediapipe_face_processor .default as RequiredMediapipeFaceProcessorInvocation; @@ -21,7 +19,6 @@ const MediapipeFaceProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { max_faces, min_confidence } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleMaxFacesChanged = useCallback( @@ -58,7 +55,7 @@ const MediapipeFaceProcessor = (props: Props) => { max={20} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx index d4e0f6b85a..893e459875 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MidasDepthProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMidasDepthImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.midas_depth_image_processor .default as RequiredMidasDepthImageProcessorInvocation; @@ -21,7 +19,6 @@ const MidasDepthProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { a_mult, bg_th } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleAMultChanged = useCallback( @@ -59,7 +56,7 @@ const MidasDepthProcessor = (props: Props) => { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx index bd19cd501a..c97c803021 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/MlsdImageProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredMlsdImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.mlsd_image_processor .default as RequiredMlsdImageProcessorInvocation; @@ -21,7 +19,6 @@ const MlsdImageProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, thr_d, thr_v } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -84,7 +81,7 @@ const MlsdImageProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { step={0.01} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx index 01be34f097..a0c15374a8 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/NormalBaeProcessor.tsx @@ -1,12 +1,10 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredNormalbaeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.normalbae_image_processor .default as RequiredNormalbaeImageProcessorInvocation; @@ -21,7 +19,6 @@ const NormalBaeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -62,7 +59,7 @@ const NormalBaeProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx index ab536e7f2a..904078ff6d 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/OpenposeProcessor.tsx @@ -1,13 +1,11 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredOpenposeImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.openpose_image_processor .default as RequiredOpenposeImageProcessorInvocation; @@ -22,7 +20,6 @@ const OpenposeProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, hand_and_face } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -70,7 +67,7 @@ const OpenposeProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx index 730db4cfb3..50065d66d0 100644 --- a/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlNet/components/processors/PidiProcessor.tsx @@ -1,13 +1,11 @@ -import { useAppSelector } from 'app/store/storeHooks'; import IAISlider from 'common/components/IAISlider'; import IAISwitch from 'common/components/IAISwitch'; import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants'; import { RequiredPidiImageProcessorInvocation } from 'features/controlNet/store/types'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { ChangeEvent, memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { useProcessorNodeChanged } from '../hooks/useProcessorNodeChanged'; import ProcessorWrapper from './common/ProcessorWrapper'; -import { useTranslation } from 'react-i18next'; const DEFAULTS = CONTROLNET_PROCESSORS.pidi_image_processor .default as RequiredPidiImageProcessorInvocation; @@ -22,7 +20,6 @@ const PidiProcessor = (props: Props) => { const { controlNetId, processorNode, isEnabled } = props; const { image_resolution, detect_resolution, scribble, safe } = processorNode; const processorChanged = useProcessorNodeChanged(); - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const handleDetectResolutionChanged = useCallback( @@ -77,7 +74,7 @@ const PidiProcessor = (props: Props) => { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { max={4096} withInput withSliderMarks - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> { label={t('controlnet.safe')} isChecked={safe} onChange={handleSafeChanged} - isDisabled={isBusy || !isEnabled} + isDisabled={!isEnabled} /> ); diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts index 8f391521d6..3fe57f4a84 100644 --- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts +++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts @@ -1,9 +1,13 @@ import { PayloadAction, createSlice } from '@reduxjs/toolkit'; -import { ControlNetModelParam } from 'features/parameters/types/parameterSchemas'; +import { + ControlNetModelParam, + IPAdapterModelParam, +} from 'features/parameters/types/parameterSchemas'; import { cloneDeep, forEach } from 'lodash-es'; import { imagesApi } from 'services/api/endpoints/images'; import { components } from 'services/api/schema'; import { isAnySessionRejected } from 'services/api/thunks/session'; +import { ImageDTO } from 'services/api/types'; import { appSocketInvocationError } from 'services/events/actions'; import { controlNetImageProcessed } from './actions'; import { @@ -56,16 +60,36 @@ export type ControlNetConfig = { shouldAutoConfig: boolean; }; +export type IPAdapterConfig = { + adapterImage: ImageDTO | null; + model: IPAdapterModelParam | null; + weight: number; + beginStepPct: number; + endStepPct: number; +}; + export type ControlNetState = { controlNets: Record; isEnabled: boolean; pendingControlImages: string[]; + isIPAdapterEnabled: boolean; + ipAdapterInfo: IPAdapterConfig; +}; + +export const initialIPAdapterState: IPAdapterConfig = { + adapterImage: null, + model: null, + weight: 1, + beginStepPct: 0, + endStepPct: 1, }; export const initialControlNetState: ControlNetState = { controlNets: {}, isEnabled: false, pendingControlImages: [], + isIPAdapterEnabled: false, + ipAdapterInfo: { ...initialIPAdapterState }, }; export const controlNetSlice = createSlice({ @@ -353,6 +377,31 @@ export const controlNetSlice = createSlice({ controlNetReset: () => { return { ...initialControlNetState }; }, + isIPAdapterEnableToggled: (state) => { + state.isIPAdapterEnabled = !state.isIPAdapterEnabled; + }, + ipAdapterImageChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.adapterImage = action.payload; + }, + ipAdapterWeightChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.weight = action.payload; + }, + ipAdapterModelChanged: ( + state, + action: PayloadAction + ) => { + state.ipAdapterInfo.model = action.payload; + }, + ipAdapterBeginStepPctChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.beginStepPct = action.payload; + }, + ipAdapterEndStepPctChanged: (state, action: PayloadAction) => { + state.ipAdapterInfo.endStepPct = action.payload; + }, + ipAdapterStateReset: (state) => { + state.isIPAdapterEnabled = false; + state.ipAdapterInfo = { ...initialIPAdapterState }; + }, }, extraReducers: (builder) => { builder.addCase(controlNetImageProcessed, (state, action) => { @@ -412,6 +461,13 @@ export const { controlNetProcessorTypeChanged, controlNetReset, controlNetAutoConfigToggled, + isIPAdapterEnableToggled, + ipAdapterImageChanged, + ipAdapterWeightChanged, + ipAdapterModelChanged, + ipAdapterBeginStepPctChanged, + ipAdapterEndStepPctChanged, + ipAdapterStateReset, } = controlNetSlice.actions; export default controlNetSlice.reducer; diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx index dde6d1a517..5a98581403 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx @@ -1,20 +1,9 @@ import { IconButtonProps } from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { useTranslation } from 'react-i18next'; import { FaTrash } from 'react-icons/fa'; -const deleteImageButtonsSelector = createSelector( - [stateSelector], - ({ system }) => { - const { isProcessing, isConnected } = system; - - return isConnected && !isProcessing; - } -); - type DeleteImageButtonProps = Omit & { onClick: () => void; }; @@ -22,7 +11,7 @@ type DeleteImageButtonProps = Omit & { export const DeleteImageButton = (props: DeleteImageButtonProps) => { const { onClick, isDisabled } = props; const { t } = useTranslation(); - const canDeleteImage = useAppSelector(deleteImageButtonsSelector); + const isConnected = useAppSelector((state) => state.system.isConnected); return ( { icon={} tooltip={`${t('gallery.deleteImage')} (Del)`} aria-label={`${t('gallery.deleteImage')} (Del)`} - isDisabled={isDisabled || !canDeleteImage} + isDisabled={isDisabled || !isConnected} colorScheme="error" /> ); diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx index 0d8ecfbae6..78bd71e802 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx @@ -10,20 +10,20 @@ import { Text, } from '@chakra-ui/react'; 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 IAIButton from 'common/components/IAIButton'; import IAISwitch from 'common/components/IAISwitch'; import { setShouldConfirmOnDelete } from 'features/system/store/systemSlice'; -import { stateSelector } from 'app/store/store'; import { some } from 'lodash-es'; import { ChangeEvent, memo, useCallback, useRef } from 'react'; import { useTranslation } from 'react-i18next'; import { imageDeletionConfirmed } from '../store/actions'; import { getImageUsage, selectImageUsage } from '../store/selectors'; import { imageDeletionCanceled, isModalOpenChanged } from '../store/slice'; -import ImageUsageMessage from './ImageUsageMessage'; import { ImageUsage } from '../store/types'; +import ImageUsageMessage from './ImageUsageMessage'; const selector = createSelector( [stateSelector, selectImageUsage], @@ -42,6 +42,7 @@ const selector = createSelector( isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage), isNodesImage: some(allImageUsage, (i) => i.isNodesImage), isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage), + isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage), }; return { diff --git a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx index de1782b439..6844e13a32 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx +++ b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx @@ -1,8 +1,8 @@ import { ListItem, Text, UnorderedList } from '@chakra-ui/react'; import { some } from 'lodash-es'; import { memo } from 'react'; -import { ImageUsage } from '../store/types'; import { useTranslation } from 'react-i18next'; +import { ImageUsage } from '../store/types'; type Props = { imageUsage?: ImageUsage; @@ -38,6 +38,9 @@ const ImageUsageMessage = (props: Props) => { {imageUsage.isControlNetImage && ( {t('common.controlNet')} )} + {imageUsage.isIPAdapterImage && ( + {t('common.ipAdapter')} + )} {imageUsage.isNodesImage && ( {t('common.nodeEditor')} )} diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts index 37be06bad6..151e975634 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts @@ -1,9 +1,9 @@ import { createSelector } from '@reduxjs/toolkit'; import { RootState } from 'app/store/store'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import { isInvocationNode } from 'features/nodes/types/types'; import { some } from 'lodash-es'; import { ImageUsage } from './types'; -import { isInvocationNode } from 'features/nodes/types/types'; export const getImageUsage = (state: RootState, image_name: string) => { const { generation, canvas, nodes, controlNet } = state; @@ -27,11 +27,15 @@ export const getImageUsage = (state: RootState, image_name: string) => { c.controlImage === image_name || c.processedControlImage === image_name ); + const isIPAdapterImage = + controlNet.ipAdapterInfo.adapterImage?.image_name === image_name; + const imageUsage: ImageUsage = { isInitialImage, isCanvasImage, isNodesImage, isControlNetImage, + isIPAdapterImage, }; return imageUsage; diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts index 2beaa8ca2e..fd13462866 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts @@ -10,4 +10,5 @@ export type ImageUsage = { isCanvasImage: boolean; isNodesImage: boolean; isControlNetImage: boolean; + isIPAdapterImage: boolean; }; diff --git a/invokeai/frontend/web/src/features/dnd/types/index.ts b/invokeai/frontend/web/src/features/dnd/types/index.ts index 294132d0a3..3c5751bfac 100644 --- a/invokeai/frontend/web/src/features/dnd/types/index.ts +++ b/invokeai/frontend/web/src/features/dnd/types/index.ts @@ -35,6 +35,10 @@ export type ControlNetDropData = BaseDropData & { }; }; +export type IPAdapterImageDropData = BaseDropData & { + actionType: 'SET_IP_ADAPTER_IMAGE'; +}; + export type CanvasInitialImageDropData = BaseDropData & { actionType: 'SET_CANVAS_INITIAL_IMAGE'; }; @@ -73,6 +77,7 @@ export type TypesafeDroppableData = | CurrentImageDropData | InitialImageDropData | ControlNetDropData + | IPAdapterImageDropData | CanvasInitialImageDropData | NodesImageDropData | AddToBatchDropData diff --git a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts index f704d22dff..b040caf83d 100644 --- a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts +++ b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts @@ -24,6 +24,8 @@ export const isValidDrop = ( return payloadType === 'IMAGE_DTO'; case 'SET_CONTROLNET_IMAGE': return payloadType === 'IMAGE_DTO'; + case 'SET_IP_ADAPTER_IMAGE': + return payloadType === 'IMAGE_DTO'; case 'SET_CANVAS_INITIAL_IMAGE': return payloadType === 'IMAGE_DTO'; case 'SET_NODES_IMAGE': diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx index b9fd655a43..ff9352d806 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCollapse.tsx @@ -2,28 +2,33 @@ 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 { memo } from 'react'; -import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; -import ParamDynamicPromptsCombinatorial from './ParamDynamicPromptsCombinatorial'; -import ParamDynamicPromptsToggle from './ParamDynamicPromptsEnabled'; -import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts'; +import { memo, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; - -const selector = createSelector( - stateSelector, - (state) => { - const { isEnabled } = state.dynamicPrompts; - - return { activeLabel: isEnabled ? 'Enabled' : undefined }; - }, - defaultSelectorOptions -); +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; +import ParamDynamicPromptsMaxPrompts from './ParamDynamicPromptsMaxPrompts'; +import ParamDynamicPromptsPreview from './ParamDynamicPromptsPreview'; +import ParamDynamicPromptsSeedBehaviour from './ParamDynamicPromptsSeedBehaviour'; const ParamDynamicPromptsCollapse = () => { - const { activeLabel } = useAppSelector(selector); const { t } = useTranslation(); + const selectActiveLabel = useMemo( + () => + createSelector(stateSelector, ({ dynamicPrompts }) => { + const count = dynamicPrompts.prompts.length; + if (count === 1) { + return t('dynamicPrompts.promptsWithCount_one', { + count, + }); + } else { + return t('dynamicPrompts.promptsWithCount_other', { + count, + }); + } + }), + [t] + ); + const activeLabel = useAppSelector(selectActiveLabel); const isDynamicPromptingEnabled = useFeatureStatus('dynamicPrompting').isFeatureEnabled; @@ -33,10 +38,13 @@ const ParamDynamicPromptsCollapse = () => { } return ( - + - - + + diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx index 406dc8e216..391d588733 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsCombinatorial.tsx @@ -6,19 +6,20 @@ import IAISwitch from 'common/components/IAISwitch'; import { memo, useCallback } from 'react'; import { combinatorialToggled } from '../store/dynamicPromptsSlice'; import { useTranslation } from 'react-i18next'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const selector = createSelector( stateSelector, (state) => { - const { combinatorial, isEnabled } = state.dynamicPrompts; + const { combinatorial } = state.dynamicPrompts; - return { combinatorial, isDisabled: !isEnabled }; + return { combinatorial }; }, defaultSelectorOptions ); const ParamDynamicPromptsCombinatorial = () => { - const { combinatorial, isDisabled } = useAppSelector(selector); + const { combinatorial } = useAppSelector(selector); const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -27,12 +28,13 @@ const ParamDynamicPromptsCombinatorial = () => { }, [dispatch]); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx index 158fab91d9..29305630cc 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsMaxPrompts.tsx @@ -13,7 +13,7 @@ import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { maxPrompts, combinatorial, isEnabled } = state.dynamicPrompts; + const { maxPrompts, combinatorial } = state.dynamicPrompts; const { min, sliderMax, inputMax } = state.config.sd.dynamicPrompts.maxPrompts; @@ -22,7 +22,7 @@ const selector = createSelector( min, sliderMax, inputMax, - isDisabled: !isEnabled || !combinatorial, + isDisabled: !combinatorial, }; }, defaultSelectorOptions @@ -47,7 +47,7 @@ const ParamDynamicPromptsMaxPrompts = () => { return ( { + const { isLoading, isError, prompts, parsingError } = state.dynamicPrompts; + + return { + prompts, + parsingError, + isError, + isLoading, + }; + }, + defaultSelectorOptions +); + +const listItemStyles: ChakraProps['sx'] = { + '&::marker': { color: 'base.500', _dark: { color: 'base.500' } }, +}; + +const ParamDynamicPromptsPreview = () => { + const { prompts, parsingError, isLoading, isError } = + useAppSelector(selector); + + if (isError) { + return ( + + + + ); + } + + return ( + + + Prompts Preview ({prompts.length}){parsingError && ` - ${parsingError}`} + + + + + {prompts.map((prompt, i) => ( + + {prompt} + + ))} + + + {isLoading && ( + + + + )} + + + ); +}; + +export default memo(ParamDynamicPromptsPreview); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx new file mode 100644 index 0000000000..14a3e29ff7 --- /dev/null +++ b/invokeai/frontend/web/src/features/dynamicPrompts/components/ParamDynamicPromptsSeedBehaviour.tsx @@ -0,0 +1,60 @@ +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + SeedBehaviour, + seedBehaviourChanged, +} from '../store/dynamicPromptsSlice'; +import IAIMantineSelectItemWithDescription from 'common/components/IAIMantineSelectItemWithDescription'; + +type Item = { + label: string; + value: SeedBehaviour; + description: string; +}; + +const ParamDynamicPromptsSeedBehaviour = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const seedBehaviour = useAppSelector( + (state) => state.dynamicPrompts.seedBehaviour + ); + + const data = useMemo(() => { + return [ + { + value: 'PER_ITERATION', + label: t('dynamicPrompts.seedBehaviour.perIterationLabel'), + description: t('dynamicPrompts.seedBehaviour.perIterationDesc'), + }, + { + value: 'PER_PROMPT', + label: t('dynamicPrompts.seedBehaviour.perPromptLabel'), + description: t('dynamicPrompts.seedBehaviour.perPromptDesc'), + }, + ]; + }, [t]); + + const handleChange = useCallback( + (v: string | null) => { + if (!v) { + return; + } + dispatch(seedBehaviourChanged(v as SeedBehaviour)); + }, + [dispatch] + ); + + return ( + + ); +}; + +export default memo(ParamDynamicPromptsSeedBehaviour); diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts new file mode 100644 index 0000000000..5b1ed52938 --- /dev/null +++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsPersistDenylist.ts @@ -0,0 +1,4 @@ +import { initialDynamicPromptsState } from './dynamicPromptsSlice'; + +export const dynamicPromptsPersistDenylist: (keyof typeof initialDynamicPromptsState)[] = + ['prompts']; diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts index d96c8ff0b0..32e24845ea 100644 --- a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts +++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts @@ -1,15 +1,24 @@ import { PayloadAction, createSlice } from '@reduxjs/toolkit'; +export type SeedBehaviour = 'PER_ITERATION' | 'PER_PROMPT'; export interface DynamicPromptsState { - isEnabled: boolean; maxPrompts: number; combinatorial: boolean; + prompts: string[]; + parsingError: string | undefined | null; + isError: boolean; + isLoading: boolean; + seedBehaviour: SeedBehaviour; } export const initialDynamicPromptsState: DynamicPromptsState = { - isEnabled: false, maxPrompts: 100, combinatorial: true, + prompts: [], + parsingError: undefined, + isError: false, + isLoading: false, + seedBehaviour: 'PER_ITERATION', }; const initialState: DynamicPromptsState = initialDynamicPromptsState; @@ -27,17 +36,33 @@ export const dynamicPromptsSlice = createSlice({ combinatorialToggled: (state) => { state.combinatorial = !state.combinatorial; }, - isEnabledToggled: (state) => { - state.isEnabled = !state.isEnabled; + promptsChanged: (state, action: PayloadAction) => { + state.prompts = action.payload; + }, + parsingErrorChanged: (state, action: PayloadAction) => { + state.parsingError = action.payload; + }, + isErrorChanged: (state, action: PayloadAction) => { + state.isError = action.payload; + }, + isLoadingChanged: (state, action: PayloadAction) => { + state.isLoading = action.payload; + }, + seedBehaviourChanged: (state, action: PayloadAction) => { + state.seedBehaviour = action.payload; }, }, }); export const { - isEnabledToggled, maxPromptsChanged, maxPromptsReset, combinatorialToggled, + promptsChanged, + parsingErrorChanged, + isErrorChanged, + isLoadingChanged, + seedBehaviourChanged, } = dynamicPromptsSlice.actions; export default dynamicPromptsSlice.reducer; diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx index 5f24225fa9..29211a7558 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx @@ -7,19 +7,17 @@ import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSe import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectItemWithTooltip'; import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice'; import { memo, useCallback, useRef } from 'react'; -import { useListAllBoardsQuery } from 'services/api/endpoints/boards'; import { useTranslation } from 'react-i18next'; +import { useListAllBoardsQuery } from 'services/api/endpoints/boards'; const selector = createSelector( [stateSelector], - ({ gallery, system }) => { + ({ gallery }) => { const { autoAddBoardId, autoAssignBoardOnClick } = gallery; - const { isProcessing } = system; return { autoAddBoardId, autoAssignBoardOnClick, - isProcessing, }; }, defaultSelectorOptions @@ -28,8 +26,7 @@ const selector = createSelector( const BoardAutoAddSelect = () => { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } = - useAppSelector(selector); + const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector); const inputRef = useRef(null); const { boards, hasBoards } = useListAllBoardsQuery(undefined, { selectFromResult: ({ data }) => { @@ -73,7 +70,7 @@ const BoardAutoAddSelect = () => { data={boards} nothingFound={t('boards.noMatching')} itemComponent={IAIMantineSelectItemWithTooltip} - disabled={!hasBoards || autoAssignBoardOnClick || isProcessing} + disabled={!hasBoards || autoAssignBoardOnClick} filter={(value, item: SelectItem) => item.label?.toLowerCase().includes(value.toLowerCase().trim()) || item.value.toLowerCase().includes(value.toLowerCase().trim()) diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx index e5eb92028d..c18a9f671c 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx @@ -2,6 +2,7 @@ import { MenuGroup, MenuItem, MenuList } from '@chakra-ui/react'; 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 { IAIContextMenu, IAIContextMenuProps, @@ -9,14 +10,13 @@ import { import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice'; import { BoardId } from 'features/gallery/store/types'; import { MouseEvent, memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; import { FaPlus } from 'react-icons/fa'; import { useBoardName } from 'services/api/hooks/useBoardName'; import { BoardDTO } from 'services/api/types'; import { menuListMotionProps } from 'theme/components/menu'; import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems'; import NoBoardContextMenuItems from './NoBoardContextMenuItems'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import { useTranslation } from 'react-i18next'; type Props = { board?: BoardDTO; @@ -37,19 +37,17 @@ const BoardContextMenu = ({ () => createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const isAutoAdd = gallery.autoAddBoardId === board_id; - const isProcessing = system.isProcessing; const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick; - return { isAutoAdd, isProcessing, autoAssignBoardOnClick }; + return { isAutoAdd, autoAssignBoardOnClick }; }, defaultSelectorOptions ), [board_id] ); - const { isAutoAdd, isProcessing, autoAssignBoardOnClick } = - useAppSelector(selector); + const { isAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector); const boardName = useBoardName(board_id); const handleSetAutoAdd = useCallback(() => { @@ -78,7 +76,7 @@ const BoardContextMenu = ({ } - isDisabled={isAutoAdd || isProcessing || autoAssignBoardOnClick} + isDisabled={isAutoAdd || autoAssignBoardOnClick} onClick={handleSetAutoAdd} > {t('boards.menuItemAutoAdd')} diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx index 78b633bd99..1bb6816bd9 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx @@ -16,6 +16,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAIDroppable from 'common/components/IAIDroppable'; import SelectionOverlay from 'common/components/SelectionOverlay'; +import { AddToBoardDropData } from 'features/dnd/types'; import { autoAddBoardIdChanged, boardIdSelected, @@ -31,7 +32,6 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images'; import { BoardDTO } from 'services/api/types'; import AutoAddIcon from '../AutoAddIcon'; import BoardContextMenu from '../BoardContextMenu'; -import { AddToBoardDropData } from 'features/dnd/types'; interface GalleryBoardProps { board: BoardDTO; @@ -49,16 +49,14 @@ const GalleryBoard = ({ () => createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const isSelectedForAutoAdd = board.board_id === gallery.autoAddBoardId; const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick; - const isProcessing = system.isProcessing; return { isSelectedForAutoAdd, autoAssignBoardOnClick, - isProcessing, }; }, defaultSelectorOptions @@ -66,7 +64,7 @@ const GalleryBoard = ({ [board.board_id] ); - const { isSelectedForAutoAdd, autoAssignBoardOnClick, isProcessing } = + const { isSelectedForAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector); const [isHovered, setIsHovered] = useState(false); const handleMouseOver = useCallback(() => { @@ -96,10 +94,10 @@ const GalleryBoard = ({ const handleSelectBoard = useCallback(() => { dispatch(boardIdSelected(board_id)); - if (autoAssignBoardOnClick && !isProcessing) { + if (autoAssignBoardOnClick) { dispatch(autoAddBoardIdChanged(board_id)); } - }, [board_id, autoAssignBoardOnClick, isProcessing, dispatch]); + }, [board_id, autoAssignBoardOnClick, dispatch]); const [updateBoard, { isLoading: isUpdateBoardLoading }] = useUpdateBoardMutation(); diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx index da51a5fe39..55034decf0 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx @@ -22,25 +22,23 @@ interface Props { const selector = createSelector( stateSelector, - ({ gallery, system }) => { + ({ gallery }) => { const { autoAddBoardId, autoAssignBoardOnClick } = gallery; - const { isProcessing } = system; - return { autoAddBoardId, autoAssignBoardOnClick, isProcessing }; + return { autoAddBoardId, autoAssignBoardOnClick }; }, defaultSelectorOptions ); const NoBoardBoard = memo(({ isSelected }: Props) => { const dispatch = useAppDispatch(); - const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } = - useAppSelector(selector); + const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector); const boardName = useBoardName('none'); const handleSelectBoard = useCallback(() => { dispatch(boardIdSelected('none')); - if (autoAssignBoardOnClick && !isProcessing) { + if (autoAssignBoardOnClick) { dispatch(autoAddBoardIdChanged('none')); } - }, [dispatch, autoAssignBoardOnClick, isProcessing]); + }, [dispatch, autoAssignBoardOnClick]); const [isHovered, setIsHovered] = useState(false); const handleMouseOver = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx index 2c54f06cec..f83c08c923 100644 --- a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx @@ -53,6 +53,7 @@ const DeleteBoardModal = (props: Props) => { isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage), isNodesImage: some(allImageUsage, (i) => i.isNodesImage), isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage), + isIPAdapterImage: some(allImageUsage, (i) => i.isIPAdapterImage), }; return { imageUsageSummary }; }), diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx index e5f0bc54f5..83b9466722 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx @@ -21,6 +21,7 @@ import { workflowLoadRequested } from 'features/nodes/store/actions'; import ParamUpscalePopover from 'features/parameters/components/Parameters/Upscale/ParamUpscaleSettings'; import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters'; import { initialImageSelected } from 'features/parameters/store/actions'; +import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { @@ -36,9 +37,8 @@ import { FaHourglassHalf, FaQuoteRight, FaSeedling, - FaShareAlt, } from 'react-icons/fa'; -import { MdDeviceHub } from 'react-icons/md'; +import { FaCircleNodes, FaEllipsis } from 'react-icons/fa6'; import { useGetImageDTOQuery, useGetImageMetadataFromFileQuery, @@ -50,8 +50,7 @@ import SingleSelectionMenuItems from '../ImageContextMenu/SingleSelectionMenuIte const currentImageButtonsSelector = createSelector( [stateSelector, activeTabNameSelector], ({ gallery, system, ui, config }, activeTabName) => { - const { isProcessing, isConnected, shouldConfirmOnDelete, progressImage } = - system; + const { isConnected, shouldConfirmOnDelete, denoiseProgress } = system; const { shouldShowImageDetails, @@ -64,11 +63,10 @@ const currentImageButtonsSelector = createSelector( const lastSelectedImage = gallery.selection[gallery.selection.length - 1]; return { - canDeleteImage: isConnected && !isProcessing, shouldConfirmOnDelete, - isProcessing, isConnected, - shouldDisableToolbarButtons: Boolean(progressImage) || !lastSelectedImage, + shouldDisableToolbarButtons: + Boolean(denoiseProgress?.progress_image) || !lastSelectedImage, shouldShowImageDetails, activeTabName, shouldHidePreview, @@ -89,7 +87,6 @@ type CurrentImageButtonsProps = FlexProps; const CurrentImageButtons = (props: CurrentImageButtonsProps) => { const dispatch = useAppDispatch(); const { - isProcessing, isConnected, shouldDisableToolbarButtons, shouldShowImageDetails, @@ -99,7 +96,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { } = useAppSelector(currentImageButtonsSelector); const isUpscalingEnabled = useFeatureStatus('upscaling').isFeatureEnabled; - + const isQueueMutationInProgress = useIsQueueMutationInProgress(); const toaster = useAppToaster(); const { t } = useTranslation(); @@ -202,19 +199,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { { enabled: () => Boolean( - isUpscalingEnabled && - !shouldDisableToolbarButtons && - isConnected && - !isProcessing + isUpscalingEnabled && !shouldDisableToolbarButtons && isConnected ), }, - [ - isUpscalingEnabled, - imageDTO, - shouldDisableToolbarButtons, - isConnected, - isProcessing, - ] + [isUpscalingEnabled, imageDTO, shouldDisableToolbarButtons, isConnected] ); const handleClickShowImageDetails = useCallback( @@ -266,10 +254,10 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { } + icon={} /> {imageDTO && } @@ -280,7 +268,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { } + icon={} tooltip={`${t('nodes.loadWorkflow')} (W)`} aria-label={`${t('nodes.loadWorkflow')} (W)`} isDisabled={!workflow} @@ -313,15 +301,12 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { {isUpscalingEnabled && ( - + {isUpscalingEnabled && } )} - + } tooltip={`${t('parameters.info')} (I)`} @@ -342,10 +327,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => { - + diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx index b16820a38f..ac2e4a2bf8 100644 --- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx @@ -29,12 +29,12 @@ export const imagesSelector = createSelector( shouldHidePreview, shouldShowProgressInViewer, } = ui; - const { progressImage, shouldAntialiasProgressImage } = system; + const { denoiseProgress, shouldAntialiasProgressImage } = system; return { shouldShowImageDetails, shouldHidePreview, imageName: lastSelectedImage?.image_name, - progressImage, + denoiseProgress, shouldShowProgressInViewer, shouldAntialiasProgressImage, }; @@ -50,7 +50,7 @@ const CurrentImagePreview = () => { const { shouldShowImageDetails, imageName, - progressImage, + denoiseProgress, shouldShowProgressInViewer, shouldAntialiasProgressImage, } = useAppSelector(imagesSelector); @@ -143,11 +143,11 @@ const CurrentImagePreview = () => { position: 'relative', }} > - {progressImage && shouldShowProgressInViewer ? ( + {denoiseProgress?.progress_image && shouldShowProgressInViewer ? ( { {t('parameters.downloadImage')} : } + icon={isLoading ? : } onClickCapture={handleLoadWorkflow} isDisabled={isLoading || !workflow} > diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx index 4f1bd39b8c..955e8a5a3a 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx @@ -103,7 +103,7 @@ const ImageMetadataActions = (props: Props) => { )} {metadata.negative_prompt && ( { {workflow ? ( ) : ( - + )} diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx index 3432838ec0..951de86217 100644 --- a/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx +++ b/invokeai/frontend/web/src/features/lora/components/ParamLora.tsx @@ -10,6 +10,7 @@ import { loraWeightChanged, loraWeightReset, } from '../store/loraSlice'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; type Props = { lora: LoRA; @@ -35,30 +36,32 @@ const ParamLora = (props: Props) => { }, [dispatch, lora.id]); return ( - - - } - colorScheme="error" - /> - + + + + } + colorScheme="error" + /> + + ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx index 4433adf4ab..9ab413a98f 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/AddNodePopover/AddNodePopover.tsx @@ -96,7 +96,7 @@ const AddNodePopover = () => { (nodeType: AnyInvocationType) => { const invocation = buildInvocation(nodeType); if (!invocation) { - const errorMessage = t('nodes.unknownInvocation', { + const errorMessage = t('nodes.unknownNode', { nodeType: nodeType, }); toaster({ diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx index e081ccf471..96ef7c56a3 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx @@ -16,7 +16,7 @@ const selector = createSelector(stateSelector, ({ system, gallery }) => { return { imageDTO, - progressImage: system.progressImage, + progressImage: system.denoiseProgress?.progress_image, }; }); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx index 6542713942..447dfcbd97 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/EmbedWorkflowCheckbox.tsx @@ -27,7 +27,7 @@ const EmbedWorkflowCheckbox = ({ nodeId }: { nodeId: string }) => { return ( - Embed Workflow + Workflow { const inputConnectionFieldNames = useConnectionInputFieldNames(nodeId); const inputAnyOrDirectFieldNames = useAnyOrDirectInputFieldNames(nodeId); const outputFieldNames = useOutputFieldNames(nodeId); - const withFooter = useWithFooter(nodeId); return ( @@ -43,7 +41,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => { h: 'full', py: 2, gap: 1, - borderBottomRadius: withFooter ? 0 : 'base', + borderBottomRadius: 0, }} > @@ -76,7 +74,7 @@ const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => { ))} - {withFooter && } + )} diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx index 320b56b057..6f4b719f74 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx @@ -3,12 +3,15 @@ import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants'; import { memo } from 'react'; import EmbedWorkflowCheckbox from './EmbedWorkflowCheckbox'; import SaveToGalleryCheckbox from './SaveToGalleryCheckbox'; +import UseCacheCheckbox from './UseCacheCheckbox'; +import { useHasImageOutput } from 'features/nodes/hooks/useHasImageOutput'; type Props = { nodeId: string; }; const InvocationNodeFooter = ({ nodeId }: Props) => { + const hasImageOutput = useHasImageOutput(nodeId); return ( { justifyContent: 'space-between', }} > - - + {hasImageOutput && } + + {hasImageOutput && } ); }; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx new file mode 100644 index 0000000000..72f3e72b11 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx @@ -0,0 +1,35 @@ +import { Checkbox, Flex, FormControl, FormLabel } from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import { useUseCache } from 'features/nodes/hooks/useUseCache'; +import { nodeUseCacheChanged } from 'features/nodes/store/nodesSlice'; +import { ChangeEvent, memo, useCallback } from 'react'; + +const UseCacheCheckbox = ({ nodeId }: { nodeId: string }) => { + const dispatch = useAppDispatch(); + const useCache = useUseCache(nodeId); + const handleChange = useCallback( + (e: ChangeEvent) => { + dispatch( + nodeUseCacheChanged({ + nodeId, + useCache: e.target.checked, + }) + ); + }, + [dispatch, nodeId] + ); + + return ( + + Use Cache + + + ); +}; + +export default memo(UseCacheCheckbox); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx index a73119347c..8e5c8f4e48 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx @@ -38,7 +38,7 @@ const EditableFieldTitle = forwardRef((props: Props, ref) => { const dispatch = useAppDispatch(); const [localTitle, setLocalTitle] = useState( - label || fieldTemplateTitle || t('nodes.unknownFeild') + label || fieldTemplateTitle || t('nodes.unknownField') ); const handleSubmit = useCallback( diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx index fa5c4533c2..10cde5bf49 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx @@ -15,6 +15,7 @@ import SDXLMainModelInputField from './inputs/SDXLMainModelInputField'; import SchedulerInputField from './inputs/SchedulerInputField'; import StringInputField from './inputs/StringInputField'; import VaeModelInputField from './inputs/VaeModelInputField'; +import IPAdapterModelInputField from './inputs/IPAdapterModelInputField'; type InputFieldProps = { nodeId: string; @@ -147,6 +148,19 @@ const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => { ); } + if ( + field?.type === 'IPAdapterModelField' && + fieldTemplate?.type === 'IPAdapterModelField' + ) { + return ( + + ); + } + if (field?.type === 'ColorField' && fieldTemplate?.type === 'ColorField') { return ( +) => { + return null; +}; + +export default memo(IPAdapterInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx new file mode 100644 index 0000000000..637fa79f60 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterModelInputField.tsx @@ -0,0 +1,100 @@ +import { SelectItem } from '@mantine/core'; +import { useAppDispatch } from 'app/store/storeHooks'; +import IAIMantineSelect from 'common/components/IAIMantineSelect'; +import { fieldIPAdapterModelValueChanged } from 'features/nodes/store/nodesSlice'; +import { + IPAdapterModelInputFieldTemplate, + IPAdapterModelInputFieldValue, + FieldComponentProps, +} from 'features/nodes/types/types'; +import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; +import { modelIdToIPAdapterModelParam } from 'features/parameters/util/modelIdToIPAdapterModelParams'; +import { forEach } from 'lodash-es'; +import { memo, useCallback, useMemo } from 'react'; +import { useGetIPAdapterModelsQuery } from 'services/api/endpoints/models'; + +const IPAdapterModelInputFieldComponent = ( + props: FieldComponentProps< + IPAdapterModelInputFieldValue, + IPAdapterModelInputFieldTemplate + > +) => { + const { nodeId, field } = props; + const ipAdapterModel = field.value; + const dispatch = useAppDispatch(); + + const { data: ipAdapterModels } = useGetIPAdapterModelsQuery(); + + // grab the full model entity from the RTK Query cache + const selectedModel = useMemo( + () => + ipAdapterModels?.entities[ + `${ipAdapterModel?.base_model}/ip_adapter/${ipAdapterModel?.model_name}` + ] ?? null, + [ + ipAdapterModel?.base_model, + ipAdapterModel?.model_name, + ipAdapterModels?.entities, + ] + ); + + const data = useMemo(() => { + if (!ipAdapterModels) { + return []; + } + + const data: SelectItem[] = []; + + forEach(ipAdapterModels.entities, (model, id) => { + if (!model) { + return; + } + + data.push({ + value: id, + label: model.model_name, + group: MODEL_TYPE_MAP[model.base_model], + }); + }); + + return data; + }, [ipAdapterModels]); + + const handleValueChanged = useCallback( + (v: string | null) => { + if (!v) { + return; + } + + const newIPAdapterModel = modelIdToIPAdapterModelParam(v); + + if (!newIPAdapterModel) { + return; + } + + dispatch( + fieldIPAdapterModelValueChanged({ + nodeId, + fieldName: field.name, + value: newIPAdapterModel, + }) + ); + }, + [dispatch, field.name, nodeId] + ); + + return ( + + ); +}; + +export default memo(IPAdapterModelInputFieldComponent); diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx index d18abc1bf4..79de65760f 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeWrapper.tsx @@ -114,7 +114,7 @@ const NodeWrapper = (props: NodeWrapperProps) => { borderRadius: 'md', pointerEvents: 'none', transitionProperty: 'common', - transitionDuration: 'normal', + transitionDuration: '0.1s', opacity: 0.7, shadow: isInProgress ? inProgressShadow : undefined, zIndex: -1, diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx deleted file mode 100644 index 3a72f52b0c..0000000000 --- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopCenterPanel/WorkflowEditorControls.tsx +++ /dev/null @@ -1,15 +0,0 @@ -import { Flex } from '@chakra-ui/react'; -import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton'; -import InvokeButton from 'features/parameters/components/ProcessButtons/InvokeButton'; -import { memo } from 'react'; - -const WorkflowEditorControls = () => { - return ( - - - - - ); -}; - -export default memo(WorkflowEditorControls); diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx index f40d5ddd80..4f9edfa0e2 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/NodeEditorPanelGroup.tsx @@ -1,5 +1,5 @@ import { Flex } from '@chakra-ui/react'; -import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons'; +import QueueControls from 'features/queue/components/QueueControls'; import ResizeHandle from 'features/ui/components/tabs/ResizeHandle'; import { usePanelStorage } from 'features/ui/hooks/usePanelStorage'; import { memo, useCallback, useRef, useState } from 'react'; @@ -11,6 +11,7 @@ import { import 'reactflow/dist/style.css'; import InspectorPanel from './inspector/InspectorPanel'; import WorkflowPanel from './workflow/WorkflowPanel'; +import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations'; const NodeEditorPanelGroup = () => { const [isTopPanelCollapsed, setIsTopPanelCollapsed] = useState(false); @@ -26,7 +27,21 @@ const NodeEditorPanelGroup = () => { return ( - + + + + { +type Props = PropsWithChildren & { + maxHeight?: StyleProps['maxHeight']; +}; + +const ScrollableContent = ({ children, maxHeight }: Props) => { return ( @@ -35,7 +40,7 @@ const ScrollableContent = (props: PropsWithChildren) => { }, }} > - {props.children} + {children} diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx index b6a194051e..f4abc621b4 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorOutputsTab.tsx @@ -83,7 +83,7 @@ const InspectorOutputsTab = () => { /> )) ) : ( - + )} diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx index b5e358239a..caa01e5b67 100644 --- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorTemplateTab.tsx @@ -38,7 +38,7 @@ const NodeTemplateInspector = () => { ); } - return ; + return ; }; export default memo(NodeTemplateInspector); diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts index 24982f591e..9af7099988 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts @@ -146,6 +146,7 @@ export const useBuildNodeData = () => { isIntermediate: true, inputs, outputs, + useCache: template.useCache, }, }; diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts new file mode 100644 index 0000000000..7416d7e66e --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/hooks/useUseCache.ts @@ -0,0 +1,29 @@ +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 { useMemo } from 'react'; +import { isInvocationNode } from '../types/types'; + +export const useUseCache = (nodeId: string) => { + const selector = useMemo( + () => + createSelector( + stateSelector, + ({ nodes }) => { + const node = nodes.nodes.find((node) => node.id === nodeId); + if (!isInvocationNode(node)) { + return false; + } + // cast to boolean to support older workflows that didn't have useCache + // TODO: handle this better somehow + return node.data.useCache; + }, + defaultSelectorOptions + ), + [nodeId] + ); + + const useCache = useAppSelector(selector); + return useCache; +}; diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts index 8bde120005..57941eaec8 100644 --- a/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts +++ b/invokeai/frontend/web/src/features/nodes/hooks/useWithFooter.ts @@ -7,7 +7,7 @@ import { useMemo } from 'react'; import { FOOTER_FIELDS } from '../types/constants'; import { isInvocationNode } from '../types/types'; -export const useWithFooter = (nodeId: string) => { +export const useHasImageOutputs = (nodeId: string) => { const selector = useMemo( () => createSelector( diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts index 2ebed877ac..325ab1ff16 100644 --- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts +++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts @@ -25,6 +25,7 @@ import { appSocketInvocationComplete, appSocketInvocationError, appSocketInvocationStarted, + appSocketQueueItemStatusChanged, } from 'services/events/actions'; import { v4 as uuidv4 } from 'uuid'; import { DRAG_HANDLE_CLASSNAME } from '../types/constants'; @@ -41,6 +42,7 @@ import { IntegerInputFieldValue, InvocationNodeData, InvocationTemplate, + IPAdapterModelInputFieldValue, isInvocationNode, isNotesNode, LoRAModelInputFieldValue, @@ -260,6 +262,20 @@ const nodesSlice = createSlice({ } node.data.embedWorkflow = embedWorkflow; }, + nodeUseCacheChanged: ( + state, + action: PayloadAction<{ nodeId: string; useCache: boolean }> + ) => { + const { nodeId, useCache } = action.payload; + const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId); + + const node = state.nodes?.[nodeIndex]; + + if (!isInvocationNode(node)) { + return; + } + node.data.useCache = useCache; + }, nodeIsIntermediateChanged: ( state, action: PayloadAction<{ nodeId: string; isIntermediate: boolean }> @@ -520,6 +536,12 @@ const nodesSlice = createSlice({ ) => { fieldValueReducer(state, action); }, + fieldIPAdapterModelValueChanged: ( + state, + action: FieldValueAction + ) => { + fieldValueReducer(state, action); + }, fieldEnumModelValueChanged: ( state, action: FieldValueAction @@ -840,6 +862,19 @@ const nodesSlice = createSlice({ } }); }); + builder.addCase(appSocketQueueItemStatusChanged, (state, action) => { + if ( + ['completed', 'canceled', 'failed'].includes(action.payload.data.status) + ) { + forEach(state.nodeExecutionStates, (nes) => { + nes.status = NodeStatus.PENDING; + nes.error = null; + nes.progress = null; + nes.progressImage = null; + nes.outputs = []; + }); + } + }); }, }); @@ -866,6 +901,7 @@ export const { fieldLoRAModelValueChanged, fieldEnumModelValueChanged, fieldControlNetModelValueChanged, + fieldIPAdapterModelValueChanged, fieldRefinerModelValueChanged, fieldSchedulerValueChanged, nodeIsOpenChanged, @@ -904,6 +940,7 @@ export const { nodeIsIntermediateChanged, mouseOverNodeChanged, nodeExclusivelySelected, + nodeUseCacheChanged, } = nodesSlice.actions; export default nodesSlice.reducer; diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts index 0ab10db159..34e494677f 100644 --- a/invokeai/frontend/web/src/features/nodes/types/constants.ts +++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts @@ -41,6 +41,7 @@ export const POLYMORPHIC_TYPES = [ ]; export const MODEL_TYPES = [ + 'IPAdapterModelField', 'ControlNetModelField', 'LoRAModelField', 'MainModelField', @@ -236,6 +237,16 @@ export const FIELDS: Record = { description: t('nodes.integerPolymorphicDescription'), title: t('nodes.integerPolymorphic'), }, + IPAdapterField: { + color: 'green.300', + description: 'IP-Adapter info passed between nodes.', + title: 'IP-Adapter', + }, + IPAdapterModelField: { + color: 'teal.500', + description: 'IP-Adapter model', + title: 'IP-Adapter Model', + }, LatentsCollection: { color: 'pink.500', description: t('nodes.latentsCollectionDescription'), diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts index c92a41391c..361de26ea5 100644 --- a/invokeai/frontend/web/src/features/nodes/types/types.ts +++ b/invokeai/frontend/web/src/features/nodes/types/types.ts @@ -1,3 +1,4 @@ +import { $store } from 'app/store/nanostores/store'; import { SchedulerParam, zBaseModel, @@ -7,7 +8,8 @@ import { zSDXLRefinerModel, zScheduler, } from 'features/parameters/types/parameterSchemas'; -import { keyBy } from 'lodash-es'; +import i18n from 'i18next'; +import { has, keyBy } from 'lodash-es'; import { OpenAPIV3 } from 'openapi-types'; import { RgbaColor } from 'react-colorful'; import { Node } from 'reactflow'; @@ -20,7 +22,6 @@ import { import { O } from 'ts-toolbelt'; import { JsonObject } from 'type-fest'; import { z } from 'zod'; -import i18n from 'i18next'; export type NonNullableGraph = O.Required; @@ -57,6 +58,10 @@ export type InvocationTemplate = { * The invocation's version. */ version?: string; + /** + * Whether or not this node should use the cache + */ + useCache: boolean; }; export type FieldUIConfig = { @@ -94,6 +99,8 @@ export const zFieldType = z.enum([ 'integer', 'IntegerCollection', 'IntegerPolymorphic', + 'IPAdapterField', + 'IPAdapterModelField', 'LatentsCollection', 'LatentsField', 'LatentsPolymorphic', @@ -389,6 +396,25 @@ export type ControlCollectionInputFieldValue = z.infer< typeof zControlCollectionInputFieldValue >; +export const zIPAdapterModel = zModelIdentifier; +export type IPAdapterModel = z.infer; + +export const zIPAdapterField = z.object({ + image: zImageField, + ip_adapter_model: zIPAdapterModel, + image_encoder_model: z.string().trim().min(1), + weight: z.number(), +}); +export type IPAdapterField = z.infer; + +export const zIPAdapterInputFieldValue = zInputFieldValueBase.extend({ + type: z.literal('IPAdapterField'), + value: zIPAdapterField.optional(), +}); +export type IPAdapterInputFieldValue = z.infer< + typeof zIPAdapterInputFieldValue +>; + export const zModelType = z.enum([ 'onnx', 'main', @@ -538,6 +564,17 @@ export type ControlNetModelInputFieldValue = z.infer< typeof zControlNetModelInputFieldValue >; +export const zIPAdapterModelField = zModelIdentifier; +export type IPAdapterModelField = z.infer; + +export const zIPAdapterModelInputFieldValue = zInputFieldValueBase.extend({ + type: z.literal('IPAdapterModelField'), + value: zIPAdapterModelField.optional(), +}); +export type IPAdapterModelInputFieldValue = z.infer< + typeof zIPAdapterModelInputFieldValue +>; + export const zCollectionInputFieldValue = zInputFieldValueBase.extend({ type: z.literal('Collection'), value: z.array(z.any()).optional(), // TODO: should this field ever have a value? @@ -620,6 +657,8 @@ export const zInputFieldValue = z.discriminatedUnion('type', [ zIntegerCollectionInputFieldValue, zIntegerPolymorphicInputFieldValue, zIntegerInputFieldValue, + zIPAdapterInputFieldValue, + zIPAdapterModelInputFieldValue, zLatentsInputFieldValue, zLatentsCollectionInputFieldValue, zLatentsPolymorphicInputFieldValue, @@ -822,6 +861,11 @@ export type ControlPolymorphicInputFieldTemplate = Omit< type: 'ControlPolymorphic'; }; +export type IPAdapterInputFieldTemplate = InputFieldTemplateBase & { + default: undefined; + type: 'IPAdapterField'; +}; + export type EnumInputFieldTemplate = InputFieldTemplateBase & { default: string; type: 'enum'; @@ -859,6 +903,11 @@ export type ControlNetModelInputFieldTemplate = InputFieldTemplateBase & { type: 'ControlNetModelField'; }; +export type IPAdapterModelInputFieldTemplate = InputFieldTemplateBase & { + default: string; + type: 'IPAdapterModelField'; +}; + export type CollectionInputFieldTemplate = InputFieldTemplateBase & { default: []; type: 'Collection'; @@ -930,6 +979,8 @@ export type InputFieldTemplate = | IntegerCollectionInputFieldTemplate | IntegerPolymorphicInputFieldTemplate | IntegerInputFieldTemplate + | IPAdapterInputFieldTemplate + | IPAdapterModelInputFieldTemplate | LatentsInputFieldTemplate | LatentsCollectionInputFieldTemplate | LatentsPolymorphicInputFieldTemplate @@ -976,6 +1027,9 @@ export type InvocationSchemaExtra = { type: Omit & { default: AnyInvocationType; }; + use_cache: Omit & { + default: boolean; + }; }; }; @@ -1066,36 +1120,45 @@ export type LoRAMetadataItem = z.infer; export const zCoreMetadata = z .object({ - app_version: z.string().nullish(), - generation_mode: z.string().nullish(), - created_by: z.string().nullish(), - positive_prompt: z.string().nullish(), - negative_prompt: z.string().nullish(), - width: z.number().int().nullish(), - height: z.number().int().nullish(), - seed: z.number().int().nullish(), - rand_device: z.string().nullish(), - cfg_scale: z.number().nullish(), - steps: z.number().int().nullish(), - scheduler: z.string().nullish(), - clip_skip: z.number().int().nullish(), + app_version: z.string().nullish().catch(null), + generation_mode: z.string().nullish().catch(null), + created_by: z.string().nullish().catch(null), + positive_prompt: z.string().nullish().catch(null), + negative_prompt: z.string().nullish().catch(null), + width: z.number().int().nullish().catch(null), + height: z.number().int().nullish().catch(null), + seed: z.number().int().nullish().catch(null), + rand_device: z.string().nullish().catch(null), + cfg_scale: z.number().nullish().catch(null), + steps: z.number().int().nullish().catch(null), + scheduler: z.string().nullish().catch(null), + clip_skip: z.number().int().nullish().catch(null), model: z .union([zMainModel.deepPartial(), zOnnxModel.deepPartial()]) - .nullish(), - controlnets: z.array(zControlField.deepPartial()).nullish(), - loras: z.array(zLoRAMetadataItem).nullish(), - vae: zVaeModelField.nullish(), - strength: z.number().nullish(), - init_image: z.string().nullish(), - positive_style_prompt: z.string().nullish(), - negative_style_prompt: z.string().nullish(), - refiner_model: zSDXLRefinerModel.deepPartial().nullish(), - refiner_cfg_scale: z.number().nullish(), - refiner_steps: z.number().int().nullish(), - refiner_scheduler: z.string().nullish(), - refiner_positive_aesthetic_score: z.number().nullish(), - refiner_negative_aesthetic_score: z.number().nullish(), - refiner_start: z.number().nullish(), + .nullish() + .catch(null), + controlnets: z.array(zControlField.deepPartial()).nullish().catch(null), + loras: z + .array( + z.object({ + lora: zLoRAModelField.deepPartial(), + weight: z.number(), + }) + ) + .nullish() + .catch(null), + vae: zVaeModelField.nullish().catch(null), + strength: z.number().nullish().catch(null), + init_image: z.string().nullish().catch(null), + positive_style_prompt: z.string().nullish().catch(null), + negative_style_prompt: z.string().nullish().catch(null), + refiner_model: zSDXLRefinerModel.deepPartial().nullish().catch(null), + refiner_cfg_scale: z.number().nullish().catch(null), + refiner_steps: z.number().int().nullish().catch(null), + refiner_scheduler: z.string().nullish().catch(null), + refiner_positive_aesthetic_score: z.number().nullish().catch(null), + refiner_negative_aesthetic_score: z.number().nullish().catch(null), + refiner_start: z.number().nullish().catch(null), }) .passthrough(); @@ -1139,9 +1202,37 @@ export const zInvocationNodeData = z.object({ version: zSemVer.optional(), }); +export const zInvocationNodeDataV2 = z.preprocess( + (arg) => { + try { + const data = zInvocationNodeData.parse(arg); + if (!has(data, 'useCache')) { + const nodeTemplates = $store.get()?.getState().nodes.nodeTemplates as + | Record + | undefined; + + const template = nodeTemplates?.[data.type]; + + let useCache = true; + if (template) { + useCache = template.useCache; + } + + Object.assign(data, { useCache }); + } + return data; + } catch { + return arg; + } + }, + zInvocationNodeData.extend({ + useCache: z.boolean(), + }) +); + // Massage this to get better type safety while developing export type InvocationNodeData = Omit< - z.infer, + z.infer, 'type' > & { type: AnyInvocationType; @@ -1169,7 +1260,7 @@ const zDimension = z.number().gt(0).nullish(); export const zWorkflowInvocationNode = z.object({ id: z.string().trim().min(1), type: z.literal('invocation'), - data: zInvocationNodeData, + data: zInvocationNodeDataV2, width: zDimension, height: zDimension, position: zPosition, @@ -1231,6 +1322,8 @@ export type WorkflowWarning = { data: JsonObject; }; +const CURRENT_WORKFLOW_VERSION = '1.0.0'; + export const zWorkflow = z.object({ name: z.string().default(''), author: z.string().default(''), @@ -1246,7 +1339,7 @@ export const zWorkflow = z.object({ .object({ version: zSemVer, }) - .default({ version: '1.0.0' }), + .default({ version: CURRENT_WORKFLOW_VERSION }), }); export const zValidatedWorkflow = zWorkflow.transform((workflow) => { diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts index c5e6be75c0..aaec058235 100644 --- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts +++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts @@ -60,6 +60,8 @@ import { ImageField, LatentsField, ConditioningField, + IPAdapterInputFieldTemplate, + IPAdapterModelInputFieldTemplate, } from '../types/types'; import { ControlField } from 'services/api/types'; @@ -435,6 +437,19 @@ const buildControlNetModelInputFieldTemplate = ({ return template; }; +const buildIPAdapterModelInputFieldTemplate = ({ + schemaObject, + baseField, +}: BuildInputFieldArg): IPAdapterModelInputFieldTemplate => { + const template: IPAdapterModelInputFieldTemplate = { + ...baseField, + type: 'IPAdapterModelField', + default: schemaObject.default ?? undefined, + }; + + return template; +}; + const buildImageInputFieldTemplate = ({ schemaObject, baseField, @@ -648,6 +663,19 @@ const buildControlCollectionInputFieldTemplate = ({ return template; }; +const buildIPAdapterInputFieldTemplate = ({ + schemaObject, + baseField, +}: BuildInputFieldArg): IPAdapterInputFieldTemplate => { + const template: IPAdapterInputFieldTemplate = { + ...baseField, + type: 'IPAdapterField', + default: schemaObject.default ?? undefined, + }; + + return template; +}; + const buildEnumInputFieldTemplate = ({ schemaObject, baseField, @@ -851,6 +879,8 @@ const TEMPLATE_BUILDER_MAP = { integer: buildIntegerInputFieldTemplate, IntegerCollection: buildIntegerCollectionInputFieldTemplate, IntegerPolymorphic: buildIntegerPolymorphicInputFieldTemplate, + IPAdapterField: buildIPAdapterInputFieldTemplate, + IPAdapterModelField: buildIPAdapterModelInputFieldTemplate, LatentsCollection: buildLatentsCollectionInputFieldTemplate, LatentsField: buildLatentsInputFieldTemplate, LatentsPolymorphic: buildLatentsPolymorphicInputFieldTemplate, diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts index 3052d4e230..c29aaf262f 100644 --- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts +++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts @@ -28,6 +28,8 @@ const FIELD_VALUE_FALLBACK_MAP = { integer: 0, IntegerCollection: [], IntegerPolymorphic: 0, + IPAdapterField: undefined, + IPAdapterModelField: undefined, LatentsCollection: [], LatentsField: undefined, LatentsPolymorphic: undefined, diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts deleted file mode 100644 index acb091a06b..0000000000 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addDynamicPromptsToGraph.ts +++ /dev/null @@ -1,209 +0,0 @@ -import { RootState } from 'app/store/store'; -import { NonNullableGraph } from 'features/nodes/types/types'; -import { unset } from 'lodash-es'; -import { - DynamicPromptInvocation, - IterateInvocation, - MetadataAccumulatorInvocation, - NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, -} from 'services/api/types'; -import { - DYNAMIC_PROMPT, - ITERATE, - METADATA_ACCUMULATOR, - NOISE, - POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, -} from './constants'; - -export const addDynamicPromptsToGraph = ( - state: RootState, - graph: NonNullableGraph -): void => { - const { positivePrompt, iterations, seed, shouldRandomizeSeed } = - state.generation; - - const { - combinatorial, - isEnabled: isDynamicPromptsEnabled, - maxPrompts, - } = state.dynamicPrompts; - - const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as - | MetadataAccumulatorInvocation - | undefined; - - if (isDynamicPromptsEnabled) { - // iteration is handled via dynamic prompts - unset(graph.nodes[POSITIVE_CONDITIONING], 'prompt'); - - const dynamicPromptNode: DynamicPromptInvocation = { - id: DYNAMIC_PROMPT, - type: 'dynamic_prompt', - is_intermediate: true, - max_prompts: combinatorial ? maxPrompts : iterations, - combinatorial, - prompt: positivePrompt, - }; - - const iterateNode: IterateInvocation = { - id: ITERATE, - type: 'iterate', - is_intermediate: true, - }; - - graph.nodes[DYNAMIC_PROMPT] = dynamicPromptNode; - graph.nodes[ITERATE] = iterateNode; - - // connect dynamic prompts to compel nodes - graph.edges.push( - { - source: { - node_id: DYNAMIC_PROMPT, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: POSITIVE_CONDITIONING, - field: 'prompt', - }, - } - ); - - // hook up positive prompt to metadata - if (metadataAccumulator) { - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: METADATA_ACCUMULATOR, - field: 'positive_prompt', - }, - }); - } - - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - is_intermediate: true, - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: NOISE, field: 'seed' }, - }); - - if (metadataAccumulator) { - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: METADATA_ACCUMULATOR, field: 'seed' }, - }); - } - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[NOISE] as NoiseInvocation).seed = seed; - - // hook up seed to metadata - if (metadataAccumulator) { - metadataAccumulator.seed = seed; - } - } - } else { - // no dynamic prompt - hook up positive prompt - if (metadataAccumulator) { - metadataAccumulator.positive_prompt = positivePrompt; - } - - const rangeOfSizeNode: RangeOfSizeInvocation = { - id: RANGE_OF_SIZE, - type: 'range_of_size', - is_intermediate: true, - size: iterations, - step: 1, - }; - - const iterateNode: IterateInvocation = { - id: ITERATE, - type: 'iterate', - is_intermediate: true, - }; - - graph.nodes[ITERATE] = iterateNode; - graph.nodes[RANGE_OF_SIZE] = rangeOfSizeNode; - - graph.edges.push({ - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }); - - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }); - - // hook up seed to metadata - if (metadataAccumulator) { - graph.edges.push({ - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: METADATA_ACCUMULATOR, - field: 'seed', - }, - }); - } - // handle seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - is_intermediate: true, - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - rangeOfSizeNode.start = seed; - } - } -}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts new file mode 100644 index 0000000000..da67b1d34d --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addIPAdapterToLinearGraph.ts @@ -0,0 +1,59 @@ +import { RootState } from 'app/store/store'; +import { IPAdapterInvocation } from 'services/api/types'; +import { NonNullableGraph } from '../../types/types'; +import { IP_ADAPTER } from './constants'; + +export const addIPAdapterToLinearGraph = ( + state: RootState, + graph: NonNullableGraph, + baseNodeId: string +): void => { + const { isIPAdapterEnabled, ipAdapterInfo } = state.controlNet; + + // const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as + // | MetadataAccumulatorInvocation + // | undefined; + + if (isIPAdapterEnabled && ipAdapterInfo.model) { + const ipAdapterNode: IPAdapterInvocation = { + id: IP_ADAPTER, + type: 'ip_adapter', + is_intermediate: true, + weight: ipAdapterInfo.weight, + ip_adapter_model: { + base_model: ipAdapterInfo.model?.base_model, + model_name: ipAdapterInfo.model?.model_name, + }, + begin_step_percent: ipAdapterInfo.beginStepPct, + end_step_percent: ipAdapterInfo.endStepPct, + }; + + if (ipAdapterInfo.adapterImage) { + ipAdapterNode.image = { + image_name: ipAdapterInfo.adapterImage.image_name, + }; + } else { + return; + } + + graph.nodes[ipAdapterNode.id] = ipAdapterNode as IPAdapterInvocation; + + // if (metadataAccumulator?.ip_adapters) { + // // metadata accumulator only needs the ip_adapter field - not the whole node + // // extract what we need and add to the accumulator + // const ipAdapterField = omit(ipAdapterNode, [ + // 'id', + // 'type', + // ]) as IPAdapterField; + // metadataAccumulator.ip_adapters.push(ipAdapterField); + // } + + graph.edges.push({ + source: { node_id: ipAdapterNode.id, field: 'ip_adapter' }, + destination: { + node_id: baseNodeId, + field: 'ip_adapter', + }, + }); + } +}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts index 3291348d0a..94fddccc8f 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts @@ -1,46 +1,32 @@ 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'; +import { LATENTS_TO_IMAGE, 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; + nodeToAddTo.use_cache = true; const nsfwCheckerNode: ImageNSFWBlurInvocation = { id: NSFW_CHECKER, type: 'img_nsfw', - is_intermediate, + is_intermediate: true, }; graph.nodes[NSFW_CHECKER] = nsfwCheckerNode as ImageNSFWBlurInvocation; @@ -54,17 +40,4 @@ export const addNSFWCheckerToGraph = ( 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/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts index 0daca1f310..6bd44db197 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts @@ -25,7 +25,7 @@ import { SDXL_REFINER_POSITIVE_CONDITIONING, SDXL_REFINER_SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; export const addSDXLRefinerToGraph = ( state: RootState, @@ -78,8 +78,8 @@ export const addSDXLRefinerToGraph = ( : SDXL_MODEL_LOADER; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, true); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state, true); // Unplug SDXL Latents Generation To Latents To Image graph.edges = graph.edges.filter( @@ -100,13 +100,13 @@ export const addSDXLRefinerToGraph = ( graph.nodes[SDXL_REFINER_POSITIVE_CONDITIONING] = { type: 'sdxl_refiner_compel_prompt', id: SDXL_REFINER_POSITIVE_CONDITIONING, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, aesthetic_score: refinerPositiveAestheticScore, }; graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = { type: 'sdxl_refiner_compel_prompt', id: SDXL_REFINER_NEGATIVE_CONDITIONING, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, aesthetic_score: refinerNegativeAestheticScore, }; graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = { diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts new file mode 100644 index 0000000000..43d1a19f81 --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts @@ -0,0 +1,92 @@ +import { NonNullableGraph } from 'features/nodes/types/types'; +import { + CANVAS_OUTPUT, + LATENTS_TO_IMAGE, + METADATA_ACCUMULATOR, + NSFW_CHECKER, + SAVE_IMAGE, + WATERMARKER, +} from './constants'; +import { + MetadataAccumulatorInvocation, + SaveImageInvocation, +} from 'services/api/types'; +import { RootState } from 'app/store/store'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; + +/** + * Set the `use_cache` field on the linear/canvas graph's final image output node to False. + */ +export const addSaveImageNode = ( + state: RootState, + graph: NonNullableGraph +): void => { + const activeTabName = activeTabNameSelector(state); + const is_intermediate = + activeTabName === 'unifiedCanvas' ? !state.canvas.shouldAutoSave : false; + + const saveImageNode: SaveImageInvocation = { + id: SAVE_IMAGE, + type: 'save_image', + is_intermediate, + use_cache: false, + }; + + graph.nodes[SAVE_IMAGE] = saveImageNode; + + const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as + | MetadataAccumulatorInvocation + | undefined; + + if (metadataAccumulator) { + graph.edges.push({ + source: { + node_id: METADATA_ACCUMULATOR, + field: 'metadata', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'metadata', + }, + }); + } + + const destination = { + node_id: SAVE_IMAGE, + field: 'image', + }; + + if (WATERMARKER in graph.nodes) { + graph.edges.push({ + source: { + node_id: WATERMARKER, + field: 'image', + }, + destination, + }); + } else if (NSFW_CHECKER in graph.nodes) { + graph.edges.push({ + source: { + node_id: NSFW_CHECKER, + field: 'image', + }, + destination, + }); + } else if (CANVAS_OUTPUT in graph.nodes) { + graph.edges.push({ + source: { + node_id: CANVAS_OUTPUT, + field: 'image', + }, + destination, + }); + } else if (LATENTS_TO_IMAGE in graph.nodes) { + graph.edges.push({ + source: { + node_id: LATENTS_TO_IMAGE, + field: 'image', + }, + destination, + }); + } +}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts index f2e8a0aeca..4e515906b6 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addWatermarkerToGraph.ts @@ -51,6 +51,7 @@ export const addWatermarkerToGraph = ( // no matter the situation, we want the l2i node to be intermediate nodeToAddTo.is_intermediate = true; + nodeToAddTo.use_cache = true; if (nsfwCheckerNode) { // if we are using NSFW checker, we need to "disable" it output by marking it intermediate, diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts index 10e3ba5152..9c53227ead 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildAdHocUpscaleGraph.ts @@ -1,7 +1,11 @@ import { NonNullableGraph } from 'features/nodes/types/types'; import { ESRGANModelName } from 'features/parameters/store/postprocessingSlice'; -import { Graph, ESRGANInvocation } from 'services/api/types'; -import { REALESRGAN as ESRGAN } from './constants'; +import { + Graph, + ESRGANInvocation, + SaveImageInvocation, +} from 'services/api/types'; +import { REALESRGAN as ESRGAN, SAVE_IMAGE } from './constants'; type Arg = { image_name: string; @@ -17,15 +21,33 @@ export const buildAdHocUpscaleGraph = ({ type: 'esrgan', image: { image_name }, model_name: esrganModelName, - is_intermediate: false, + is_intermediate: true, + }; + + const saveImageNode: SaveImageInvocation = { + id: SAVE_IMAGE, + type: 'save_image', + use_cache: false, }; const graph: NonNullableGraph = { id: `adhoc-esrgan-graph`, nodes: { [ESRGAN]: realesrganNode, + [SAVE_IMAGE]: saveImageNode, }, - edges: [], + edges: [ + { + source: { + node_id: ESRGAN, + field: 'image', + }, + destination: { + node_id: SAVE_IMAGE, + field: 'image', + }, + }, + ], }; return graph; 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 e750b40220..4dbbac9f96 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts @@ -1,12 +1,12 @@ 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 { ImageDTO, ImageToLatentsInvocation } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -40,12 +40,12 @@ export const buildCanvasImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, img2imgStrength: strength, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -53,14 +53,10 @@ export const buildCanvasImageToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -72,9 +68,7 @@ export const buildCanvasImageToImageGraph = ( let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -92,32 +86,33 @@ export const buildCanvasImageToImageGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, use_cpu, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -128,12 +123,12 @@ export const buildCanvasImageToImageGraph = ( [IMAGE_TO_LATENTS]: { type: 'i2l', id: IMAGE_TO_LATENTS, - is_intermediate: true, + is_intermediate, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -143,7 +138,7 @@ export const buildCanvasImageToImageGraph = ( [CANVAS_OUTPUT]: { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, }, }, edges: [ @@ -238,7 +233,7 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[IMG2IMG_RESIZE] = { id: IMG2IMG_RESIZE, type: 'img_resize', - is_intermediate: true, + is_intermediate, image: initialImage, width: scaledBoundingBoxDimensions.width, height: scaledBoundingBoxDimensions.height, @@ -246,13 +241,13 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -293,7 +288,7 @@ export const buildCanvasImageToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -322,10 +317,10 @@ export const buildCanvasImageToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -337,17 +332,6 @@ export const buildCanvasImageToImageGraph = ( init_image: initialImage.image_name, }; - graph.edges.push({ - source: { - node_id: METADATA_ACCUMULATOR, - field: 'metadata', - }, - destination: { - node_id: CANVAS_OUTPUT, - field: 'metadata', - }, - }); - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -360,12 +344,12 @@ export const buildCanvasImageToImageGraph = ( // optionally add custom VAE addVAEToGraph(state, graph, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -377,5 +361,7 @@ export const buildCanvasImageToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(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 bfedc03de4..de7620bc7e 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts @@ -8,10 +8,9 @@ import { ImageToLatentsInvocation, MaskEdgeInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; @@ -31,7 +30,6 @@ import { INPAINT_IMAGE, INPAINT_IMAGE_RESIZE_DOWN, INPAINT_IMAGE_RESIZE_UP, - ITERATE, LATENTS_TO_IMAGE, MAIN_MODEL_LOADER, MASK_BLUR, @@ -40,10 +38,9 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SEAMLESS, } from './constants'; +import { addSaveImageNode } from './addSaveImageNode'; /** * Builds the Canvas tab's Inpaint graph. @@ -62,11 +59,8 @@ export const buildCanvasInpaintGraph = ( scheduler, steps, img2imgStrength: strength, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, maskBlurMethod, @@ -87,12 +81,8 @@ export const buildCanvasInpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; - + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; + const is_intermediate = true; const fp32 = vaePrecision === 'fp32'; const isUsingScaledDimensions = ['auto', 'manual'].includes( @@ -101,9 +91,7 @@ export const buildCanvasInpaintGraph = ( let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const graph: NonNullableGraph = { id: CANVAS_INPAINT_GRAPH, @@ -111,56 +99,57 @@ export const buildCanvasInpaintGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [MASK_BLUR]: { type: 'img_blur', id: MASK_BLUR, - is_intermediate: true, + is_intermediate, radius: maskBlur, blur_type: maskBlurMethod, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -169,20 +158,21 @@ export const buildCanvasInpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -192,29 +182,15 @@ export const buildCanvasInpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, reference: canvasInitImage, }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, - }, }, edges: [ // Connect Model Loader to CLIP Skip and UNet @@ -321,48 +297,7 @@ export const buildCanvasInpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -436,7 +371,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -444,7 +379,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasMaskImage, @@ -452,14 +387,14 @@ export const buildCanvasInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -597,7 +532,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -650,7 +585,7 @@ export const buildCanvasInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -701,26 +636,6 @@ export const buildCanvasInpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -736,6 +651,9 @@ export const buildCanvasInpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -747,5 +665,7 @@ export const buildCanvasInpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts index 71d3492bdc..8205e477ec 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts @@ -7,12 +7,12 @@ import { InfillPatchMatchInvocation, InfillTileInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -32,7 +32,6 @@ import { INPAINT_IMAGE_RESIZE_UP, INPAINT_INFILL, INPAINT_INFILL_RESIZE_DOWN, - ITERATE, LATENTS_TO_IMAGE, MAIN_MODEL_LOADER, MASK_COMBINE, @@ -42,8 +41,6 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SEAMLESS, } from './constants'; @@ -64,11 +61,8 @@ export const buildCanvasOutpaintGraph = ( scheduler, steps, img2imgStrength: strength, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, canvasCoherenceMode, @@ -91,23 +85,17 @@ export const buildCanvasOutpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const graph: NonNullableGraph = { id: CANVAS_OUTPAINT_GRAPH, @@ -115,61 +103,62 @@ export const buildCanvasOutpaintGraph = ( [modelLoaderNodeId]: { type: 'main_model_loader', id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [MASK_FROM_ALPHA]: { type: 'tomask', id: MASK_FROM_ALPHA, - is_intermediate: true, + is_intermediate, image: canvasInitImage, }, [MASK_COMBINE]: { type: 'mask_combine', id: MASK_COMBINE, - is_intermediate: true, + is_intermediate, mask2: canvasMaskImage, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [DENOISE_LATENTS]: { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -178,20 +167,21 @@ export const buildCanvasOutpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -201,27 +191,13 @@ export const buildCanvasOutpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, - }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, + is_intermediate, }, }, edges: [ @@ -351,48 +327,7 @@ export const buildCanvasOutpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -472,7 +407,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_patchmatch', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, downscale: infillPatchmatchDownscaleSize, }; } @@ -481,7 +416,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_lama', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -489,7 +424,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_cv2', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -497,7 +432,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_tile', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, tile_size: infillTileSize, }; } @@ -511,7 +446,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -519,28 +454,28 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, }; graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_INFILL_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -699,7 +634,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -746,7 +681,7 @@ export const buildCanvasOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -803,26 +738,6 @@ export const buildCanvasOutpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -838,6 +753,9 @@ export const buildCanvasOutpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -849,5 +767,7 @@ export const buildCanvasOutpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts index 2a677a8775..36fc66e559 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts @@ -1,13 +1,13 @@ 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 { ImageDTO, ImageToLatentsInvocation } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -26,7 +26,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Image to Image graph. @@ -42,11 +42,11 @@ export const buildCanvasSDXLImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -55,20 +55,15 @@ export const buildCanvasSDXLImageToImageGraph = ( shouldUseSDXLRefiner, refinerStart, sdxlImg2ImgDenoisingStrength: strength, - shouldConcatSDXLStylePrompt, } = state.sdxl; // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -81,13 +76,11 @@ export const buildCanvasSDXLImageToImageGraph = ( // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -111,19 +104,20 @@ export const buildCanvasSDXLImageToImageGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, use_cpu, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -134,13 +128,13 @@ export const buildCanvasSDXLImageToImageGraph = ( [IMAGE_TO_LATENTS]: { type: 'i2l', id: IMAGE_TO_LATENTS, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -251,7 +245,7 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[IMG2IMG_RESIZE] = { id: IMG2IMG_RESIZE, type: 'img_resize', - is_intermediate: true, + is_intermediate, image: initialImage, width: scaledBoundingBoxDimensions.width, height: scaledBoundingBoxDimensions.height, @@ -259,13 +253,13 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -306,7 +300,7 @@ export const buildCanvasSDXLImageToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -335,10 +329,10 @@ export const buildCanvasSDXLImageToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -386,12 +380,12 @@ export const buildCanvasSDXLImageToImageGraph = ( // add LoRA support addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -403,5 +397,7 @@ export const buildCanvasSDXLImageToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts index baa1c0155f..389d510ac7 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts @@ -8,13 +8,13 @@ import { ImageToLatentsInvocation, MaskEdgeInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -29,7 +29,6 @@ import { INPAINT_IMAGE, INPAINT_IMAGE_RESIZE_DOWN, INPAINT_IMAGE_RESIZE_UP, - ITERATE, LATENTS_TO_IMAGE, MASK_BLUR, MASK_RESIZE_DOWN, @@ -37,15 +36,13 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SDXL_CANVAS_INPAINT_GRAPH, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER, SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Inpaint graph. @@ -63,11 +60,8 @@ export const buildCanvasSDXLInpaintGraph = ( cfgScale: cfg_scale, scheduler, steps, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, maskBlurMethod, @@ -82,7 +76,6 @@ export const buildCanvasSDXLInpaintGraph = ( sdxlImg2ImgDenoisingStrength: strength, shouldUseSDXLRefiner, refinerStart, - shouldConcatSDXLStylePrompt, } = state.sdxl; if (!model) { @@ -94,27 +87,21 @@ export const buildCanvasSDXLInpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); const graph: NonNullableGraph = { id: SDXL_CANVAS_INPAINT_GRAPH, @@ -128,43 +115,44 @@ export const buildCanvasSDXLInpaintGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [MASK_BLUR]: { type: 'img_blur', id: MASK_BLUR, - is_intermediate: true, + is_intermediate, radius: maskBlur, blur_type: maskBlurMethod, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -175,20 +163,21 @@ export const buildCanvasSDXLInpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -198,29 +187,15 @@ export const buildCanvasSDXLInpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, reference: canvasInitImage, }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, - }, }, edges: [ // Connect Model Loader to UNet and CLIP @@ -336,48 +311,7 @@ export const buildCanvasSDXLInpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -451,7 +385,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -459,7 +393,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasMaskImage, @@ -467,14 +401,14 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -612,7 +546,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -665,7 +599,7 @@ export const buildCanvasSDXLInpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -716,26 +650,6 @@ export const buildCanvasSDXLInpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -765,6 +679,9 @@ export const buildCanvasSDXLInpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -776,5 +693,7 @@ export const buildCanvasSDXLInpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts index 3f8fffb70a..c913492335 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts @@ -7,13 +7,13 @@ import { InfillPatchMatchInvocation, InfillTileInvocation, NoiseInvocation, - RandomIntInvocation, - RangeOfSizeInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -30,7 +30,6 @@ import { INPAINT_IMAGE_RESIZE_UP, INPAINT_INFILL, INPAINT_INFILL_RESIZE_DOWN, - ITERATE, LATENTS_TO_IMAGE, MASK_COMBINE, MASK_FROM_ALPHA, @@ -39,15 +38,13 @@ import { NEGATIVE_CONDITIONING, NOISE, POSITIVE_CONDITIONING, - RANDOM_INT, - RANGE_OF_SIZE, SDXL_CANVAS_OUTPAINT_GRAPH, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER, SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Outpaint graph. @@ -65,11 +62,8 @@ export const buildCanvasSDXLOutpaintGraph = ( cfgScale: cfg_scale, scheduler, steps, - iterations, seed, - shouldRandomizeSeed, vaePrecision, - shouldUseNoiseSettings, shouldUseCpuNoise, maskBlur, canvasCoherenceMode, @@ -86,7 +80,6 @@ export const buildCanvasSDXLOutpaintGraph = ( sdxlImg2ImgDenoisingStrength: strength, shouldUseSDXLRefiner, refinerStart, - shouldConcatSDXLStylePrompt, } = state.sdxl; if (!model) { @@ -98,27 +91,21 @@ export const buildCanvasSDXLOutpaintGraph = ( const { width, height } = state.canvas.boundingBoxDimensions; // We may need to set the inpaint width and height to scale the image - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); const graph: NonNullableGraph = { id: SDXL_CANVAS_OUTPAINT_GRAPH, @@ -132,48 +119,49 @@ export const buildCanvasSDXLOutpaintGraph = ( type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [MASK_FROM_ALPHA]: { type: 'tomask', id: MASK_FROM_ALPHA, - is_intermediate: true, + is_intermediate, image: canvasInitImage, }, [MASK_COMBINE]: { type: 'mask_combine', id: MASK_COMBINE, - is_intermediate: true, + is_intermediate, mask2: canvasMaskImage, }, [INPAINT_IMAGE]: { type: 'i2l', id: INPAINT_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, - is_intermediate: true, + seed, + is_intermediate, }, [INPAINT_CREATE_MASK]: { type: 'create_denoise_mask', id: INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: steps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -184,20 +172,21 @@ export const buildCanvasSDXLOutpaintGraph = ( }, [CANVAS_COHERENCE_NOISE]: { type: 'noise', - id: NOISE, + id: CANVAS_COHERENCE_NOISE, use_cpu, - is_intermediate: true, + seed: seed + 1, + is_intermediate, }, [CANVAS_COHERENCE_NOISE_INCREMENT]: { type: 'add', id: CANVAS_COHERENCE_NOISE_INCREMENT, b: 1, - is_intermediate: true, + is_intermediate, }, [CANVAS_COHERENCE_DENOISE_LATENTS]: { type: 'denoise_latents', id: CANVAS_COHERENCE_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, steps: canvasCoherenceSteps, cfg_scale: cfg_scale, scheduler: scheduler, @@ -207,27 +196,13 @@ export const buildCanvasSDXLOutpaintGraph = ( [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, - is_intermediate: true, + is_intermediate, fp32, }, [CANVAS_OUTPUT]: { type: 'color_correct', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, - }, - [RANGE_OF_SIZE]: { - type: 'range_of_size', - id: RANGE_OF_SIZE, - is_intermediate: true, - // seed - must be connected manually - // start: 0, - size: iterations, - step: 1, - }, - [ITERATE]: { - type: 'iterate', - id: ITERATE, - is_intermediate: true, + is_intermediate, }, }, edges: [ @@ -366,48 +341,7 @@ export const buildCanvasSDXLOutpaintGraph = ( field: 'denoise_mask', }, }, - // Iterate - { - source: { - node_id: RANGE_OF_SIZE, - field: 'collection', - }, - destination: { - node_id: ITERATE, - field: 'collection', - }, - }, - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: NOISE, - field: 'seed', - }, - }, // Canvas Refine - { - source: { - node_id: ITERATE, - field: 'item', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'a', - }, - }, - { - source: { - node_id: CANVAS_COHERENCE_NOISE_INCREMENT, - field: 'value', - }, - destination: { - node_id: CANVAS_COHERENCE_NOISE, - field: 'seed', - }, - }, { source: { node_id: modelLoaderNodeId, @@ -487,7 +421,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_patchmatch', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, downscale: infillPatchmatchDownscaleSize, }; } @@ -496,7 +430,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_lama', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -504,7 +438,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_cv2', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, }; } @@ -512,7 +446,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_INFILL] = { type: 'infill_tile', id: INPAINT_INFILL, - is_intermediate: true, + is_intermediate, tile_size: infillTileSize, }; } @@ -526,7 +460,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[INPAINT_IMAGE_RESIZE_UP] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, image: canvasInitImage, @@ -534,28 +468,28 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[MASK_RESIZE_UP] = { type: 'img_resize', id: MASK_RESIZE_UP, - is_intermediate: true, + is_intermediate, width: scaledWidth, height: scaledHeight, }; graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_IMAGE_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = { type: 'img_resize', id: INPAINT_INFILL_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; graph.nodes[MASK_RESIZE_DOWN] = { type: 'img_resize', id: MASK_RESIZE_DOWN, - is_intermediate: true, + is_intermediate, width: width, height: height, }; @@ -715,7 +649,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_INPAINT_CREATE_MASK] = { type: 'create_denoise_mask', id: CANVAS_COHERENCE_INPAINT_CREATE_MASK, - is_intermediate: true, + is_intermediate, fp32, }; @@ -762,7 +696,7 @@ export const buildCanvasSDXLOutpaintGraph = ( graph.nodes[CANVAS_COHERENCE_MASK_EDGE] = { type: 'mask_edge', id: CANVAS_COHERENCE_MASK_EDGE, - is_intermediate: true, + is_intermediate, edge_blur: maskBlur, edge_size: maskBlur * 2, low_threshold: 100, @@ -819,26 +753,6 @@ export const buildCanvasSDXLOutpaintGraph = ( }); } - // Handle Seed - if (shouldRandomizeSeed) { - // Random int node to generate the starting seed - const randomIntNode: RandomIntInvocation = { - id: RANDOM_INT, - type: 'rand_int', - }; - - graph.nodes[RANDOM_INT] = randomIntNode; - - // Connect random int to the start of the range of size so the range starts on the random first seed - graph.edges.push({ - source: { node_id: RANDOM_INT, field: 'value' }, - destination: { node_id: RANGE_OF_SIZE, field: 'start' }, - }); - } else { - // User specified seed, so set the start of the range of size to the seed - (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed; - } - // Add Seamless To Graph if (seamlessXAxis || seamlessYAxis) { addSeamlessToLinearGraph(state, graph, modelLoaderNodeId); @@ -868,6 +782,9 @@ export const buildCanvasSDXLOutpaintGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -879,5 +796,7 @@ export const buildCanvasSDXLOutpaintGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts index 6d787987ef..37245d7b6a 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts @@ -1,16 +1,16 @@ 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 { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -28,7 +28,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Canvas tab's Text to Image graph. @@ -43,11 +43,11 @@ export const buildCanvasSDXLTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -55,29 +55,22 @@ export const buildCanvasSDXLTextToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); - const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } = - state.sdxl; + const { shouldUseSDXLRefiner, refinerStart } = state.sdxl; if (!model) { log.error('No model found in state'); throw new Error('No model found in state'); } - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const isUsingOnnxModel = model.model_type === 'onnx'; @@ -94,7 +87,7 @@ export const buildCanvasSDXLTextToImageGraph = ( ? { type: 't2l_onnx', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -102,7 +95,7 @@ export const buildCanvasSDXLTextToImageGraph = ( : { type: 'denoise_latents', id: SDXL_DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -111,8 +104,8 @@ export const buildCanvasSDXLTextToImageGraph = ( }; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); /** * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the @@ -131,27 +124,28 @@ export const buildCanvasSDXLTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -253,14 +247,14 @@ export const buildCanvasSDXLTextToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -291,7 +285,7 @@ export const buildCanvasSDXLTextToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -317,10 +311,10 @@ export const buildCanvasSDXLTextToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -366,12 +360,12 @@ export const buildCanvasSDXLTextToImageGraph = ( // optionally add custom VAE addVAEToGraph(state, graph, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -383,5 +377,7 @@ export const buildCanvasSDXLTextToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + 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 094a7b02cc..2aa0b2b47d 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts @@ -1,15 +1,15 @@ 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 { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -41,11 +41,11 @@ export const buildCanvasTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, vaePrecision, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, seamlessXAxis, seamlessYAxis, } = state.generation; @@ -53,14 +53,10 @@ export const buildCanvasTextToImageGraph = ( // The bounding box determines width and height, not the width and height params const { width, height } = state.canvas.boundingBoxDimensions; - const { - scaledBoundingBoxDimensions, - boundingBoxScaleMethod, - shouldAutoSave, - } = state.canvas; + const { scaledBoundingBoxDimensions, boundingBoxScaleMethod } = state.canvas; const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingScaledDimensions = ['auto', 'manual'].includes( boundingBoxScaleMethod ); @@ -70,9 +66,7 @@ export const buildCanvasTextToImageGraph = ( throw new Error('No model found in state'); } - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; const isUsingOnnxModel = model.model_type === 'onnx'; @@ -89,7 +83,7 @@ export const buildCanvasTextToImageGraph = ( ? { type: 't2l_onnx', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -97,7 +91,7 @@ export const buildCanvasTextToImageGraph = ( : { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -122,31 +116,32 @@ export const buildCanvasTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, - is_intermediate: true, + is_intermediate, skipped_layers: clipSkip, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: POSITIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: positivePrompt, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: NEGATIVE_CONDITIONING, - is_intermediate: true, + is_intermediate, prompt: negativePrompt, }, [NOISE]: { type: 'noise', id: NOISE, - is_intermediate: true, + is_intermediate, + seed, width: !isUsingScaledDimensions ? width : scaledBoundingBoxDimensions.width, @@ -239,14 +234,14 @@ export const buildCanvasTextToImageGraph = ( graph.nodes[LATENTS_TO_IMAGE] = { id: LATENTS_TO_IMAGE, type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', - is_intermediate: true, + is_intermediate, fp32, }; graph.nodes[CANVAS_OUTPUT] = { id: CANVAS_OUTPUT, type: 'img_resize', - is_intermediate: !shouldAutoSave, + is_intermediate, width: width, height: height, }; @@ -277,7 +272,7 @@ export const buildCanvasTextToImageGraph = ( graph.nodes[CANVAS_OUTPUT] = { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: CANVAS_OUTPUT, - is_intermediate: !shouldAutoSave, + is_intermediate, fp32, }; @@ -303,10 +298,10 @@ export const buildCanvasTextToImageGraph = ( height: !isUsingScaledDimensions ? height : scaledBoundingBoxDimensions.height, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -339,12 +334,12 @@ export const buildCanvasTextToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -356,5 +351,7 @@ export const buildCanvasTextToImageGraph = ( addWatermarkerToGraph(state, graph, CANVAS_OUTPUT); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts new file mode 100644 index 0000000000..9c25ee3b8f --- /dev/null +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearBatchConfig.ts @@ -0,0 +1,185 @@ +import { NUMPY_RAND_MAX } from 'app/constants'; +import { RootState } from 'app/store/store'; +import { generateSeeds } from 'common/util/generateSeeds'; +import { NonNullableGraph } from 'features/nodes/types/types'; +import { range, unset } from 'lodash-es'; +import { components } from 'services/api/schema'; +import { Batch, BatchConfig } from 'services/api/types'; +import { + CANVAS_COHERENCE_NOISE, + METADATA_ACCUMULATOR, + NOISE, + POSITIVE_CONDITIONING, +} from './constants'; + +export const prepareLinearUIBatch = ( + state: RootState, + graph: NonNullableGraph, + prepend: boolean +): BatchConfig => { + const { iterations, model, shouldRandomizeSeed, seed } = state.generation; + const { shouldConcatSDXLStylePrompt, positiveStylePrompt } = state.sdxl; + const { prompts, seedBehaviour } = state.dynamicPrompts; + + const data: Batch['data'] = []; + + if (prompts.length === 1) { + unset(graph.nodes[METADATA_ACCUMULATOR], 'seed'); + const seeds = generateSeeds({ + count: iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + const zipped: components['schemas']['BatchDatum'][] = []; + + if (graph.nodes[NOISE]) { + zipped.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + zipped.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + zipped.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + + data.push(zipped); + } else { + // prompts.length > 1 aka dynamic prompts + const firstBatchDatumList: components['schemas']['BatchDatum'][] = []; + const secondBatchDatumList: components['schemas']['BatchDatum'][] = []; + + // add seeds first to ensure the output order groups the prompts + if (seedBehaviour === 'PER_PROMPT') { + const seeds = generateSeeds({ + count: prompts.length * iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + if (graph.nodes[NOISE]) { + firstBatchDatumList.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + firstBatchDatumList.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + } else { + // seedBehaviour = SeedBehaviour.PerRun + const seeds = generateSeeds({ + count: iterations, + start: shouldRandomizeSeed ? undefined : seed, + }); + + if (graph.nodes[NOISE]) { + secondBatchDatumList.push({ + node_path: NOISE, + field_name: 'seed', + items: seeds, + }); + } + if (graph.nodes[METADATA_ACCUMULATOR]) { + secondBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'seed', + items: seeds, + }); + } + if (graph.nodes[CANVAS_COHERENCE_NOISE]) { + secondBatchDatumList.push({ + node_path: CANVAS_COHERENCE_NOISE, + field_name: 'seed', + items: seeds.map((seed) => (seed + 1) % NUMPY_RAND_MAX), + }); + } + data.push(secondBatchDatumList); + } + + const extendedPrompts = + seedBehaviour === 'PER_PROMPT' + ? range(iterations).flatMap(() => prompts) + : prompts; + + // zipped batch of prompts + if (graph.nodes[POSITIVE_CONDITIONING]) { + firstBatchDatumList.push({ + node_path: POSITIVE_CONDITIONING, + field_name: 'prompt', + items: extendedPrompts, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'positive_prompt', + items: extendedPrompts, + }); + } + + if (shouldConcatSDXLStylePrompt && model?.base_model === 'sdxl') { + unset(graph.nodes[METADATA_ACCUMULATOR], 'positive_style_prompt'); + + const stylePrompts = extendedPrompts.map((p) => + [p, positiveStylePrompt].join(' ') + ); + + if (graph.nodes[POSITIVE_CONDITIONING]) { + firstBatchDatumList.push({ + node_path: POSITIVE_CONDITIONING, + field_name: 'style', + items: stylePrompts, + }); + } + + if (graph.nodes[METADATA_ACCUMULATOR]) { + firstBatchDatumList.push({ + node_path: METADATA_ACCUMULATOR, + field_name: 'positive_style_prompt', + items: stylePrompts, + }); + } + } + + data.push(firstBatchDatumList); + } + + const enqueueBatchArg: BatchConfig = { + prepend, + batch: { + graph, + runs: 1, + data, + }, + }; + + return enqueueBatchArg; +}; 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 dc9a34c67e..bf8d9ea314 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts @@ -1,15 +1,15 @@ 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 { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -41,6 +41,7 @@ export const buildLinearImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, initialImage, img2imgStrength: strength, @@ -49,22 +50,11 @@ export const buildLinearImageToImageGraph = ( height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, } = 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 @@ -85,12 +75,11 @@ export const buildLinearImageToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; let modelLoaderNodeId = MAIN_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // copy-pasted graph from node editor, filled in with state values & friendly node ids const graph: NonNullableGraph = { @@ -100,31 +89,38 @@ export const buildLinearImageToImageGraph = ( type: 'main_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, skipped_layers: clipSkip, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'compel', id: POSITIVE_CONDITIONING, prompt: positivePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'compel', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, + seed, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, [DENOISE_LATENTS]: { type: 'denoise_latents', @@ -134,6 +130,7 @@ export const buildLinearImageToImageGraph = ( steps, denoising_start: 1 - strength, denoising_end: 1, + is_intermediate, }, [IMAGE_TO_LATENTS]: { type: 'i2l', @@ -143,6 +140,7 @@ export const buildLinearImageToImageGraph = ( // image_name: initialImage.image_name, // }, fp32, + is_intermediate, }, }, edges: [ @@ -320,10 +318,10 @@ export const buildLinearImageToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -358,12 +356,12 @@ export const buildLinearImageToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -375,5 +373,7 @@ export const buildLinearImageToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(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 757a3976bb..b10f4c5542 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts @@ -1,16 +1,16 @@ 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 { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -28,7 +28,7 @@ import { SDXL_REFINER_SEAMLESS, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; /** * Builds the Image to Image tab graph. @@ -43,6 +43,7 @@ export const buildLinearSDXLImageToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, initialImage, shouldFitToWidthHeight, @@ -50,7 +51,6 @@ export const buildLinearSDXLImageToImageGraph = ( height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, @@ -59,7 +59,6 @@ export const buildLinearSDXLImageToImageGraph = ( const { positiveStylePrompt, negativeStylePrompt, - shouldConcatSDXLStylePrompt, shouldUseSDXLRefiner, refinerStart, sdxlImg2ImgDenoisingStrength: strength, @@ -85,17 +84,16 @@ export const buildLinearSDXLImageToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); // copy-pasted graph from node editor, filled in with state values & friendly node ids const graph: NonNullableGraph = { @@ -105,28 +103,34 @@ export const buildLinearSDXLImageToImageGraph = ( type: 'sdxl_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, use_cpu, + seed, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', @@ -138,6 +142,7 @@ export const buildLinearSDXLImageToImageGraph = ( ? Math.min(refinerStart, 1 - strength) : 1 - strength, denoising_end: shouldUseSDXLRefiner ? refinerStart : 1, + is_intermediate, }, [IMAGE_TO_LATENTS]: { type: 'i2l', @@ -147,6 +152,7 @@ export const buildLinearSDXLImageToImageGraph = ( // image_name: initialImage.image_name, // }, fp32, + is_intermediate, }, }, edges: [ @@ -333,10 +339,10 @@ export const buildLinearSDXLImageToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -384,8 +390,8 @@ export const buildLinearSDXLImageToImageGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); + // Add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { @@ -398,5 +404,7 @@ export const buildLinearSDXLImageToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(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 9590e77f89..73c831081d 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts @@ -1,12 +1,12 @@ 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 { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph'; import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -22,7 +22,7 @@ import { SDXL_TEXT_TO_IMAGE_GRAPH, SEAMLESS, } from './constants'; -import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt'; +import { buildSDXLStylePrompts } from './helpers/craftSDXLStylePrompt'; export const buildLinearSDXLTextToImageGraph = ( state: RootState @@ -34,12 +34,12 @@ export const buildLinearSDXLTextToImageGraph = ( model, cfgScale: cfg_scale, scheduler, + seed, steps, width, height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, @@ -49,13 +49,10 @@ export const buildLinearSDXLTextToImageGraph = ( positiveStylePrompt, negativeStylePrompt, shouldUseSDXLRefiner, - shouldConcatSDXLStylePrompt, refinerStart, } = state.sdxl; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; if (!model) { log.error('No model found in state'); @@ -63,10 +60,11 @@ export const buildLinearSDXLTextToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; + const is_intermediate = true; // Construct Style Prompt - const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } = - craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt); + const { joinedPositiveStylePrompt, joinedNegativeStylePrompt } = + buildSDXLStylePrompts(state); // Model Loader ID let modelLoaderNodeId = SDXL_MODEL_LOADER; @@ -88,25 +86,30 @@ export const buildLinearSDXLTextToImageGraph = ( type: 'sdxl_model_loader', id: modelLoaderNodeId, model, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - style: craftedPositiveStylePrompt, + style: joinedPositiveStylePrompt, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: 'sdxl_compel_prompt', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - style: craftedNegativeStylePrompt, + style: joinedNegativeStylePrompt, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, + seed, width, height, use_cpu, + is_intermediate, }, [SDXL_DENOISE_LATENTS]: { type: 'denoise_latents', @@ -116,11 +119,13 @@ export const buildLinearSDXLTextToImageGraph = ( steps, denoising_start: 0, denoising_end: shouldUseSDXLRefiner ? refinerStart : 1, + is_intermediate, }, [LATENTS_TO_IMAGE]: { type: 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, }, edges: [ @@ -228,10 +233,10 @@ export const buildLinearSDXLTextToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -277,8 +282,8 @@ export const buildLinearSDXLTextToImageGraph = ( // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); + // add IP Adapter + addIPAdapterToLinearGraph(state, graph, SDXL_DENOISE_LATENTS); // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { @@ -291,5 +296,7 @@ export const buildLinearSDXLTextToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(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 5c534fff21..d7af045803 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts @@ -1,15 +1,15 @@ 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 { DenoiseLatentsInvocation, ONNXTextToLatentsInvocation, } from 'services/api/types'; import { addControlNetToLinearGraph } from './addControlNetToLinearGraph'; -import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph'; +import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph'; import { addLoRAsToGraph } from './addLoRAsToGraph'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; +import { addSaveImageNode } from './addSaveImageNode'; import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph'; import { addVAEToGraph } from './addVAEToGraph'; import { addWatermarkerToGraph } from './addWatermarkerToGraph'; @@ -42,15 +42,13 @@ export const buildLinearTextToImageGraph = ( height, clipSkip, shouldUseCpuNoise, - shouldUseNoiseSettings, vaePrecision, seamlessXAxis, seamlessYAxis, + seed, } = state.generation; - const use_cpu = shouldUseNoiseSettings - ? shouldUseCpuNoise - : initialGenerationState.shouldUseCpuNoise; + const use_cpu = shouldUseCpuNoise; if (!model) { log.error('No model found in state'); @@ -58,7 +56,7 @@ export const buildLinearTextToImageGraph = ( } const fp32 = vaePrecision === 'fp32'; - + const is_intermediate = true; const isUsingOnnxModel = model.model_type === 'onnx'; let modelLoaderNodeId = isUsingOnnxModel @@ -74,7 +72,7 @@ export const buildLinearTextToImageGraph = ( ? { type: 't2l_onnx', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -82,7 +80,7 @@ export const buildLinearTextToImageGraph = ( : { type: 'denoise_latents', id: DENOISE_LATENTS, - is_intermediate: true, + is_intermediate, cfg_scale, scheduler, steps, @@ -108,40 +106,42 @@ export const buildLinearTextToImageGraph = ( [modelLoaderNodeId]: { type: modelLoaderNodeType, id: modelLoaderNodeId, - is_intermediate: true, + is_intermediate, model, }, [CLIP_SKIP]: { type: 'clip_skip', id: CLIP_SKIP, skipped_layers: clipSkip, - is_intermediate: true, + is_intermediate, }, [POSITIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: POSITIVE_CONDITIONING, prompt: positivePrompt, - is_intermediate: true, + is_intermediate, }, [NEGATIVE_CONDITIONING]: { type: isUsingOnnxModel ? 'prompt_onnx' : 'compel', id: NEGATIVE_CONDITIONING, prompt: negativePrompt, - is_intermediate: true, + is_intermediate, }, [NOISE]: { type: 'noise', id: NOISE, + seed, width, height, use_cpu, - is_intermediate: true, + is_intermediate, }, [t2lNode.id]: t2lNode, [LATENTS_TO_IMAGE]: { type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i', id: LATENTS_TO_IMAGE, fp32, + is_intermediate, }, }, edges: [ @@ -240,10 +240,10 @@ export const buildLinearTextToImageGraph = ( cfg_scale, height, width, - positive_prompt: '', // set in addDynamicPromptsToGraph + positive_prompt: positivePrompt, negative_prompt: negativePrompt, model, - seed: 0, // set in addDynamicPromptsToGraph + seed, steps, rand_device: use_cpu ? 'cpu' : 'cuda', scheduler, @@ -276,12 +276,12 @@ export const buildLinearTextToImageGraph = ( // add LoRA support addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId); - // add dynamic prompts - also sets up core iteration and seed - addDynamicPromptsToGraph(state, graph); - // add controlnet, mutating `graph` addControlNetToLinearGraph(state, graph, DENOISE_LATENTS); + // add IP Adapter + addIPAdapterToLinearGraph(state, graph, DENOISE_LATENTS); + // NSFW & watermark - must be last thing added to graph if (state.system.shouldUseNSFWChecker) { // must add before watermarker! @@ -293,5 +293,7 @@ export const buildLinearTextToImageGraph = ( addWatermarkerToGraph(state, graph); } + addSaveImageNode(state, graph); + return graph; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts index 71f79dbab5..7be06ac110 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts @@ -55,6 +55,9 @@ export const buildNodesGraph = (nodesState: NodesState): Graph => { {} as Record, unknown> ); + // add reserved use_cache + transformedInputs['use_cache'] = node.data.useCache; + // Build this specific node const graphNode = { type, 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 70bd0c4058..32c46944c7 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 +3,7 @@ export const POSITIVE_CONDITIONING = 'positive_conditioning'; export const NEGATIVE_CONDITIONING = 'negative_conditioning'; export const DENOISE_LATENTS = 'denoise_latents'; export const LATENTS_TO_IMAGE = 'latents_to_image'; +export const SAVE_IMAGE = 'save_image'; export const NSFW_CHECKER = 'nsfw_checker'; export const WATERMARKER = 'invisible_watermark'; export const NOISE = 'noise'; @@ -45,6 +46,7 @@ export const MASK_RESIZE_DOWN = 'mask_resize_down'; export const COLOR_CORRECT = 'color_correct'; export const PASTE_IMAGE = 'img_paste'; export const CONTROL_NET_COLLECT = 'control_net_collect'; +export const IP_ADAPTER = 'ip_adapter'; export const DYNAMIC_PROMPT = 'dynamic_prompt'; export const IMAGE_COLLECTION = 'image_collection'; export const IMAGE_COLLECTION_ITERATE = 'image_collection_iterate'; diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts index f46d5cc5dc..ac058abd82 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts @@ -1,28 +1,26 @@ import { RootState } from 'app/store/store'; -export const craftSDXLStylePrompt = ( +export const buildSDXLStylePrompts = ( state: RootState, - shouldConcatSDXLStylePrompt: boolean + overrideConcat?: boolean ) => { const { positivePrompt, negativePrompt } = state.generation; - const { positiveStylePrompt, negativeStylePrompt } = state.sdxl; + const { + positiveStylePrompt, + negativeStylePrompt, + shouldConcatSDXLStylePrompt, + } = state.sdxl; - let craftedPositiveStylePrompt = positiveStylePrompt; - let craftedNegativeStylePrompt = negativeStylePrompt; + // Construct Style Prompt + const joinedPositiveStylePrompt = + shouldConcatSDXLStylePrompt || overrideConcat + ? [positivePrompt, positiveStylePrompt].join(' ') + : positiveStylePrompt; - if (shouldConcatSDXLStylePrompt) { - if (positiveStylePrompt.length > 0) { - craftedPositiveStylePrompt = `${positivePrompt} ${positiveStylePrompt}`; - } else { - craftedPositiveStylePrompt = positivePrompt; - } + const joinedNegativeStylePrompt = + shouldConcatSDXLStylePrompt || overrideConcat + ? [negativePrompt, negativeStylePrompt].join(' ') + : negativeStylePrompt; - if (negativeStylePrompt.length > 0) { - craftedNegativeStylePrompt = `${negativePrompt} ${negativeStylePrompt}`; - } else { - craftedNegativeStylePrompt = negativePrompt; - } - } - - return { craftedPositiveStylePrompt, craftedNegativeStylePrompt }; + return { joinedPositiveStylePrompt, joinedNegativeStylePrompt }; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts index 8615a12c46..69d8d9dd4c 100644 --- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts +++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts @@ -16,7 +16,7 @@ import { } from '../types/types'; import { buildInputFieldTemplate, getFieldType } from './fieldTemplateBuilders'; -const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata']; +const RESERVED_INPUT_FIELD_NAMES = ['id', 'type', 'metadata', 'use_cache']; const RESERVED_OUTPUT_FIELD_NAMES = ['type']; const RESERVED_FIELD_TYPES = [ 'WorkflowField', @@ -235,6 +235,8 @@ export const parseSchema = ( {} as Record ); + const useCache = schema.properties.use_cache.default; + const invocation: InvocationTemplate = { title, type, @@ -244,6 +246,7 @@ export const parseSchema = ( outputType, inputs, outputs, + useCache, }; Object.assign(invocationsAccumulator, { [type]: invocation }); diff --git a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts index 14b90fc731..9e5cea13f6 100644 --- a/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts +++ b/invokeai/frontend/web/src/features/nodes/util/validateWorkflow.ts @@ -73,7 +73,7 @@ export const validateWorkflow = ( !(edge.sourceHandle in sourceNode.data.outputs) ) { issues.push( - `${i18n.t('nodes.outputNodes')} "${edge.source}.${ + `${i18n.t('nodes.outputNode')} "${edge.source}.${ edge.sourceHandle }" ${i18n.t('nodes.doesNotExist')}` ); @@ -89,7 +89,7 @@ export const validateWorkflow = ( !(edge.targetHandle in targetNode.data.inputs) ) { issues.push( - `${i18n.t('nodes.inputFeilds')} "${edge.target}.${ + `${i18n.t('nodes.inputField')} "${edge.target}.${ edge.targetHandle }" ${i18n.t('nodes.doesNotExist')}` ); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx index 2d461f7bb4..dea4bb7b3d 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse.tsx @@ -1,37 +1,64 @@ -import { Flex } from '@chakra-ui/react'; +import { Divider, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; import { RootState, 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 ParamClipSkip from './ParamClipSkip'; +import { useMemo } from 'react'; import { useTranslation } from 'react-i18next'; +import { ParamCpuNoiseToggle } from '../Noise/ParamCpuNoise'; +import ParamSeamless from '../Seamless/ParamSeamless'; +import ParamClipSkip from './ParamClipSkip'; const selector = createSelector( stateSelector, (state: RootState) => { - const clipSkip = state.generation.clipSkip; - return { - activeLabel: clipSkip > 0 ? 'Clip Skip' : undefined, - }; + const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } = + state.generation; + + return { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise }; }, defaultSelectorOptions ); export default function ParamAdvancedCollapse() { - const { activeLabel } = useAppSelector(selector); - const shouldShowAdvancedOptions = useAppSelector( - (state: RootState) => state.generation.shouldShowAdvancedOptions - ); + const { clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise } = + useAppSelector(selector); const { t } = useTranslation(); - if (!shouldShowAdvancedOptions) { - return null; - } + const activeLabel = useMemo(() => { + const activeLabel: string[] = []; + + if (shouldUseCpuNoise) { + activeLabel.push(t('parameters.cpuNoise')); + } else { + activeLabel.push(t('parameters.gpuNoise')); + } + + if (clipSkip > 0) { + activeLabel.push( + t('parameters.clipSkipWithLayerCount', { layerCount: clipSkip }) + ); + } + + if (seamlessXAxis && seamlessYAxis) { + activeLabel.push(t('parameters.seamlessX&Y')); + } else if (seamlessXAxis) { + activeLabel.push(t('parameters.seamlessX')); + } else if (seamlessYAxis) { + activeLabel.push(t('parameters.seamlessY')); + } + + return activeLabel.join(', '); + }, [clipSkip, seamlessXAxis, seamlessYAxis, shouldUseCpuNoise, t]); return ( + + + + ); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx index f51e42b6a1..a7d3d3c655 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Advanced/ParamClipSkip.tsx @@ -1,5 +1,6 @@ import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setClipSkip } from 'features/parameters/store/generationSlice'; import { clipSkipMap } from 'features/parameters/types/constants'; @@ -42,19 +43,21 @@ export default function ParamClipSkip() { }, [model]); return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx index 1c1f60bc09..a3eb428526 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize.tsx @@ -18,6 +18,7 @@ import ParamAspectRatio, { } from '../../Core/ParamAspectRatio'; import ParamBoundingBoxHeight from './ParamBoundingBoxHeight'; import ParamBoundingBoxWidth from './ParamBoundingBoxWidth'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const sizeOptsSelector = createSelector( [generationSelector, canvasSelector], @@ -93,18 +94,20 @@ export default function ParamBoundingBoxSize() { }} > - - {t('parameters.aspectRatio')} - + + + {t('parameters.aspectRatio')} + + { }; return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx index 5482a7e1d9..f7de446737 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice'; import { memo } from 'react'; @@ -13,23 +14,25 @@ const ParamCanvasCoherenceSteps = () => { const { t } = useTranslation(); return ( - { - dispatch(setCanvasCoherenceSteps(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setCanvasCoherenceSteps(20)); - }} - /> + + { + dispatch(setCanvasCoherenceSteps(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setCanvasCoherenceSteps(20)); + }} + /> + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx index f478bd70fe..31b86cfd49 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceStrength.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setCanvasCoherenceStrength } from 'features/parameters/store/generationSlice'; import { memo } from 'react'; @@ -13,23 +14,25 @@ const ParamCanvasCoherenceStrength = () => { const { t } = useTranslation(); return ( - { - dispatch(setCanvasCoherenceStrength(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setCanvasCoherenceStrength(0.3)); - }} - /> + + { + dispatch(setCanvasCoherenceStrength(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setCanvasCoherenceStrength(0.3)); + }} + /> + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx index 82b82228e2..da68f5ed3c 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlur.tsx @@ -1,5 +1,6 @@ import type { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISlider from 'common/components/IAISlider'; import { setMaskBlur } from 'features/parameters/store/generationSlice'; import { useTranslation } from 'react-i18next'; @@ -12,21 +13,23 @@ export default function ParamMaskBlur() { const { t } = useTranslation(); return ( - { - dispatch(setMaskBlur(v)); - }} - withInput - withSliderMarks - withReset - handleReset={() => { - dispatch(setMaskBlur(16)); - }} - /> + + { + dispatch(setMaskBlur(v)); + }} + withInput + withSliderMarks + withReset + handleReset={() => { + dispatch(setMaskBlur(16)); + }} + /> + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx index 62d0605640..12da7fd2fd 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/MaskAdjustment/ParamMaskBlurMethod.tsx @@ -2,6 +2,7 @@ import { SelectItem } from '@mantine/core'; import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { setMaskBlurMethod } from 'features/parameters/store/generationSlice'; import { useTranslation } from 'react-i18next'; @@ -28,11 +29,13 @@ export default function ParamMaskBlurMethod() { }; return ( - + + + ); } diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx index d0a0ff8f01..606d6d2dfc 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse.tsx @@ -15,13 +15,19 @@ const ParamCompositingSettingsCollapse = () => { return ( - + - + diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx index 9ac0e3588f..7a4ac1601d 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillMethod.tsx @@ -2,6 +2,7 @@ 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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { setInfillMethod } from 'features/parameters/store/generationSlice'; @@ -39,14 +40,16 @@ const ParamInfillMethod = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx index e00d56b639..a1c63d6ddb 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamScaleBeforeProcessing.tsx @@ -1,6 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect'; import { canvasSelector } from 'features/canvas/store/canvasSelectors'; import { setBoundingBoxScaleMethod } from 'features/canvas/store/canvasSlice'; @@ -35,12 +36,14 @@ const ParamScaleBeforeProcessing = () => { }; return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx index 39ff5022d4..cd276713c3 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx @@ -6,6 +6,7 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import IAICollapse from 'common/components/IAICollapse'; import IAIIconButton from 'common/components/IAIIconButton'; import ControlNet from 'features/controlNet/components/ControlNet'; +import IPAdapterPanel from 'features/controlNet/components/ipAdapter/IPAdapterPanel'; import ParamControlNetFeatureToggle from 'features/controlNet/components/parameters/ParamControlNetFeatureToggle'; import { controlNetAdded, @@ -14,25 +15,31 @@ import { import { getValidControlNets } from 'features/controlNet/util/getValidControlNets'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { map } from 'lodash-es'; -import { Fragment, memo, useCallback } from 'react'; +import { Fragment, memo, useCallback, useMemo } from 'react'; import { FaPlus } from 'react-icons/fa'; -import { - controlNetModelsAdapter, - useGetControlNetModelsQuery, -} from 'services/api/endpoints/models'; +import { useGetControlNetModelsQuery } from 'services/api/endpoints/models'; import { v4 as uuidv4 } from 'uuid'; const selector = createSelector( [stateSelector], ({ controlNet }) => { - const { controlNets, isEnabled } = controlNet; + const { controlNets, isEnabled, isIPAdapterEnabled } = controlNet; const validControlNets = getValidControlNets(controlNets); - const activeLabel = - isEnabled && validControlNets.length > 0 - ? `${validControlNets.length} Active` - : undefined; + let activeLabel = undefined; + + if (isEnabled && validControlNets.length > 0) { + activeLabel = `${validControlNets.length} ControlNet`; + } + + if (isIPAdapterEnabled) { + if (activeLabel) { + activeLabel = `${activeLabel}, IP Adapter`; + } else { + activeLabel = 'IP Adapter'; + } + } return { controlNetsArray: map(controlNets), activeLabel }; }, @@ -43,16 +50,22 @@ const ParamControlNetCollapse = () => { const { controlNetsArray, activeLabel } = useAppSelector(selector); const isControlNetDisabled = useFeatureStatus('controlNet').isFeatureDisabled; const dispatch = useAppDispatch(); - const { firstModel } = useGetControlNetModelsQuery(undefined, { - selectFromResult: (result) => { - const firstModel = result.data - ? controlNetModelsAdapter.getSelectors().selectAll(result.data)[0] - : undefined; - return { - firstModel, - }; - }, - }); + const { data: controlnetModels } = useGetControlNetModelsQuery(); + + const firstModel = useMemo(() => { + if (!controlnetModels || !Object.keys(controlnetModels.entities).length) { + return undefined; + } + const firstModelId = Object.keys(controlnetModels.entities)[0]; + + if (!firstModelId) { + return undefined; + } + + const firstModel = controlnetModels.entities[firstModelId]; + + return firstModel ? firstModel : undefined; + }, [controlnetModels]); const handleClickedAddControlNet = useCallback(() => { if (!firstModel) { @@ -101,6 +114,7 @@ const ParamControlNetCollapse = () => { ))} + ); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx index 54a7ccbe65..51d6edc2dc 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamCFGScale.tsx @@ -2,6 +2,7 @@ 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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAINumberInput from 'common/components/IAINumberInput'; import IAISlider from 'common/components/IAISlider'; import { setCfgScale } from 'features/parameters/store/generationSlice'; @@ -53,31 +54,35 @@ const ParamCFGScale = () => { ); return shouldUseSliders ? ( - + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx index 1e203a1e45..f9df43d7ca 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamIterations.tsx @@ -2,6 +2,7 @@ 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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAINumberInput from 'common/components/IAINumberInput'; import IAISlider from 'common/components/IAISlider'; import { setIterations } from 'features/parameters/store/generationSlice'; @@ -15,8 +16,6 @@ const selector = createSelector( state.config.sd.iterations; const { iterations } = state.generation; const { shouldUseSliders } = state.ui; - const isDisabled = - state.dynamicPrompts.isEnabled && state.dynamicPrompts.combinatorial; const step = state.hotkeys.shift ? fineStep : coarseStep; @@ -28,13 +27,16 @@ const selector = createSelector( inputMax, step, shouldUseSliders, - isDisabled, }; }, defaultSelectorOptions ); -const ParamIterations = () => { +type Props = { + asSlider?: boolean; +}; + +const ParamIterations = ({ asSlider }: Props) => { const { iterations, initial, @@ -43,7 +45,6 @@ const ParamIterations = () => { inputMax, step, shouldUseSliders, - isDisabled, } = useAppSelector(selector); const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -59,32 +60,34 @@ const ParamIterations = () => { dispatch(setIterations(initial)); }, [dispatch, initial]); - return shouldUseSliders ? ( - + return asSlider || shouldUseSliders ? ( + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx index 2aab013f4f..1154187eaf 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamNegativeConditioning.tsx @@ -9,6 +9,7 @@ import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; import { flushSync } from 'react-dom'; import { useTranslation } from 'react-i18next'; import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const ParamNegativeConditioning = () => { const negativePrompt = useAppSelector( @@ -81,18 +82,20 @@ const ParamNegativeConditioning = () => { onClose={onClose} onSelect={handleSelectEmbedding} > - + + + {!isOpen && isEmbeddingEnabled && ( { + [stateSelector], + ({ generation }) => { return { prompt: generation.positivePrompt, - activeTabName, }; }, { @@ -41,8 +33,7 @@ const promptInputSelector = createSelector( */ const ParamPositiveConditioning = () => { const dispatch = useAppDispatch(); - const { prompt, activeTabName } = useAppSelector(promptInputSelector); - const isReady = useIsReadyToInvoke(); + const { prompt } = useAppSelector(promptInputSelector); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); const { t } = useTranslation(); @@ -104,23 +95,13 @@ const ParamPositiveConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - 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] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( @@ -129,17 +110,19 @@ const ParamPositiveConditioning = () => { onClose={onClose} onSelect={handleSelectEmbedding} > - + + + {!isOpen && isEmbeddingEnabled && ( diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx index da1b359b37..3aadac0457 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamScheduler.tsx @@ -1,6 +1,7 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect'; import { generationSelector } from 'features/parameters/store/generationSelectors'; import { setScheduler } from 'features/parameters/store/generationSlice'; @@ -51,12 +52,14 @@ const ParamScheduler = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx index 63700c4922..c7ddd59559 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamSize.tsx @@ -16,6 +16,8 @@ import { activeTabNameSelector } from '../../../../ui/store/uiSelectors'; import ParamAspectRatio, { mappedAspectRatios } from './ParamAspectRatio'; import ParamHeight from './ParamHeight'; import ParamWidth from './ParamWidth'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; const sizeOptsSelector = createSelector( [generationSelector, activeTabNameSelector], @@ -30,7 +32,8 @@ const sizeOptsSelector = createSelector( width, height, }; - } + }, + defaultSelectorOptions ); export default function ParamSize() { @@ -81,18 +84,20 @@ export default function ParamSize() { }} > - - {t('parameters.aspectRatio')} - + + + {t('parameters.aspectRatio')} + + { }, [dispatch]); return shouldUseSliders ? ( - + + + ) : ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx index 2a14ee634c..b22dff22e5 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/ImageToImageStrength.tsx @@ -7,6 +7,7 @@ import { setImg2imgStrength } from 'features/parameters/store/generationSlice'; import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import SubParametersWrapper from '../SubParametersWrapper'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const selector = createSelector( [stateSelector], @@ -46,20 +47,22 @@ const ImageToImageStrength = () => { return ( - + + + ); }; 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 05b5b6468a..9c957523bc 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 @@ -21,6 +21,7 @@ import { useGetOnnxModelsQuery, } from 'services/api/endpoints/models'; import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const selector = createSelector( stateSelector, @@ -118,24 +119,28 @@ const ParamMainModelSelect = () => { data={[]} /> ) : ( - - 0 ? 'Select a model' : 'No models available'} - data={data} - error={data.length === 0} - disabled={data.length === 0} - onChange={handleChangeModel} - w="100%" - /> - {isSyncModelEnabled && ( - - - - )} - + + + 0 ? 'Select a model' : 'No models available' + } + data={data} + error={data.length === 0} + disabled={data.length === 0} + onChange={handleChangeModel} + w="100%" + /> + {isSyncModelEnabled && ( + + + + )} + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx index f10c3dd1a5..b3c8aea415 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamCpuNoise.tsx @@ -1,38 +1,31 @@ -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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAISwitch from 'common/components/IAISwitch'; import { shouldUseCpuNoiseChanged } from 'features/parameters/store/generationSlice'; -import { ChangeEvent } from 'react'; +import { ChangeEvent, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; -const selector = createSelector( - stateSelector, - (state) => { - const { shouldUseNoiseSettings, shouldUseCpuNoise } = state.generation; - return { - isDisabled: !shouldUseNoiseSettings, - shouldUseCpuNoise, - }; - }, - defaultSelectorOptions -); - export const ParamCpuNoiseToggle = () => { const dispatch = useAppDispatch(); - const { isDisabled, shouldUseCpuNoise } = useAppSelector(selector); + const shouldUseCpuNoise = useAppSelector( + (state) => state.generation.shouldUseCpuNoise + ); const { t } = useTranslation(); - const handleChange = (e: ChangeEvent) => - dispatch(shouldUseCpuNoiseChanged(e.target.checked)); + const handleChange = useCallback( + (e: ChangeEvent) => { + dispatch(shouldUseCpuNoiseChanged(e.target.checked)); + }, + [dispatch] + ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx deleted file mode 100644 index 0419ecc656..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseCollapse.tsx +++ /dev/null @@ -1,55 +0,0 @@ -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 { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; -import { memo } from 'react'; -import { useTranslation } from 'react-i18next'; -import { ParamCpuNoiseToggle } from './ParamCpuNoise'; -import ParamNoiseThreshold from './ParamNoiseThreshold'; -import { ParamNoiseToggle } from './ParamNoiseToggle'; -import ParamPerlinNoise from './ParamPerlinNoise'; - -const selector = createSelector( - stateSelector, - (state) => { - const { shouldUseNoiseSettings } = state.generation; - return { - activeLabel: shouldUseNoiseSettings ? 'Enabled' : undefined, - }; - }, - defaultSelectorOptions -); - -const ParamNoiseCollapse = () => { - const { t } = useTranslation(); - - const isNoiseEnabled = useFeatureStatus('noise').isFeatureEnabled; - const isPerlinNoiseEnabled = useFeatureStatus('perlinNoise').isFeatureEnabled; - const isNoiseThresholdEnabled = - useFeatureStatus('noiseThreshold').isFeatureEnabled; - - const { activeLabel } = useAppSelector(selector); - - if (!isNoiseEnabled) { - return null; - } - - return ( - - - - - {isPerlinNoiseEnabled && } - {isNoiseThresholdEnabled && } - - - ); -}; - -export default memo(ParamNoiseCollapse); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx index 3abb7532b4..7244800c41 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamNoiseThreshold.tsx @@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { shouldUseNoiseSettings, threshold } = state.generation; + const { threshold } = state.generation; return { - isDisabled: !shouldUseNoiseSettings, threshold, }; }, @@ -20,12 +19,11 @@ const selector = createSelector( export default function ParamNoiseThreshold() { const dispatch = useAppDispatch(); - const { threshold, isDisabled } = useAppSelector(selector); + const { threshold } = useAppSelector(selector); const { t } = useTranslation(); return ( { - const dispatch = useAppDispatch(); - const { t } = useTranslation(); - - const shouldUseNoiseSettings = useAppSelector( - (state: RootState) => state.generation.shouldUseNoiseSettings - ); - - const handleChange = (e: ChangeEvent) => - dispatch(setShouldUseNoiseSettings(e.target.checked)); - - return ( - - ); -}; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx index afd676223c..b5429dc292 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Noise/ParamPerlinNoise.tsx @@ -9,9 +9,8 @@ import { useTranslation } from 'react-i18next'; const selector = createSelector( stateSelector, (state) => { - const { shouldUseNoiseSettings, perlin } = state.generation; + const { perlin } = state.generation; return { - isDisabled: !shouldUseNoiseSettings, perlin, }; }, @@ -20,12 +19,11 @@ const selector = createSelector( export default function ParamPerlinNoise() { const dispatch = useAppDispatch(); - const { perlin, isDisabled } = useAppSelector(selector); + const { perlin } = useAppSelector(selector); const { t } = useTranslation(); return ( { + const { t } = useTranslation(); + + const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled; + + if (!isSeamlessEnabled) { + return null; + } + + return ( + + {t('parameters.seamlessTiling')}{' '} + + + + + + + + + + ); +}; + +export default memo(ParamSeamless); diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx deleted file mode 100644 index 099090fe3f..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse.tsx +++ /dev/null @@ -1,65 +0,0 @@ -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 { generationSelector } from 'features/parameters/store/generationSelectors'; -import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; -import { memo } from 'react'; -import { useTranslation } from 'react-i18next'; -import ParamSeamlessXAxis from './ParamSeamlessXAxis'; -import ParamSeamlessYAxis from './ParamSeamlessYAxis'; - -const getActiveLabel = (seamlessXAxis: boolean, seamlessYAxis: boolean) => { - if (seamlessXAxis && seamlessYAxis) { - return 'X & Y'; - } - - if (seamlessXAxis) { - return 'X'; - } - - if (seamlessYAxis) { - return 'Y'; - } -}; - -const selector = createSelector( - generationSelector, - (generation) => { - const { seamlessXAxis, seamlessYAxis } = generation; - - const activeLabel = getActiveLabel(seamlessXAxis, seamlessYAxis); - return { activeLabel }; - }, - defaultSelectorOptions -); - -const ParamSeamlessCollapse = () => { - const { t } = useTranslation(); - const { activeLabel } = useAppSelector(selector); - - const isSeamlessEnabled = useFeatureStatus('seamless').isFeatureEnabled; - - if (!isSeamlessEnabled) { - return null; - } - - return ( - - - - - - - - - - - ); -}; - -export default memo(ParamSeamlessCollapse); 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 a1887ec896..8ddba1cbb2 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 @@ -3,14 +3,17 @@ import { memo } from 'react'; import ParamSeed from './ParamSeed'; import ParamSeedShuffle from './ParamSeedShuffle'; import ParamSeedRandomize from './ParamSeedRandomize'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const ParamSeedFull = () => { return ( - - - - - + + + + + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx index 96c78b1336..65b565e926 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/SubParametersWrapper.tsx @@ -1,9 +1,11 @@ import { Flex, Text } from '@chakra-ui/react'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import { ReactNode, memo } from 'react'; type SubParameterWrapperProps = { children: ReactNode | ReactNode[]; label?: string; + headerInfoPopover?: string; }; const SubParametersWrapper = (props: SubParameterWrapperProps) => ( @@ -21,7 +23,18 @@ const SubParametersWrapper = (props: SubParameterWrapperProps) => ( }, }} > - {props.label && ( + {props.headerInfoPopover && props.label && ( + + + {props.label} + + + )} + {!props.headerInfoPopover && props.label && ( { const { imageDTO } = props; const dispatch = useAppDispatch(); - const isBusy = useAppSelector(selectIsBusy); + const inProgress = useIsQueueMutationInProgress(); const { t } = useTranslation(); const { isOpen, onOpen, onClose } = useDisclosure(); @@ -34,8 +34,9 @@ const ParamUpscalePopover = (props: Props) => { onClose={onClose} triggerComponent={ } + icon={} aria-label={t('parameters.upscale')} /> } @@ -49,7 +50,7 @@ const ParamUpscalePopover = (props: Props) => { {t('parameters.upscaleImage')} diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx index f82b02b5af..c551562962 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEModelSelect.tsx @@ -15,6 +15,7 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI import { vaeSelected } from 'features/parameters/store/generationSlice'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; import { modelIdToVAEModelParam } from 'features/parameters/util/modelIdToVAEModelParam'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const selector = createSelector( stateSelector, @@ -93,17 +94,19 @@ const ParamVAEModelSelect = () => { ); return ( - + + + ); }; 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 index c57cdc1132..5fa15c5fe3 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx @@ -2,6 +2,7 @@ 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 IAIInformationalPopover from 'common/components/IAIInformationalPopover'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { vaePrecisionChanged } from 'features/parameters/store/generationSlice'; import { PrecisionParam } from 'features/parameters/types/parameterSchemas'; @@ -34,12 +35,14 @@ const ParamVAEModelSelect = () => { ); return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx deleted file mode 100644 index 6a80ccb52f..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/CancelButton.tsx +++ /dev/null @@ -1,184 +0,0 @@ -import { - ButtonGroup, - ButtonProps, - ButtonSpinner, - Menu, - MenuButton, - MenuItemOption, - MenuList, - MenuOptionGroup, -} from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import IAIIconButton from 'common/components/IAIIconButton'; -import { systemSelector } from 'features/system/store/systemSelectors'; -import { - CancelStrategy, - SystemState, - cancelScheduled, - cancelTypeChanged, -} from 'features/system/store/systemSlice'; -import { isEqual } from 'lodash-es'; -import { memo, useCallback, useMemo } from 'react'; - -import { useHotkeys } from 'react-hotkeys-hook'; -import { useTranslation } from 'react-i18next'; -import { MdCancel, MdCancelScheduleSend } from 'react-icons/md'; - -import { ChevronDownIcon } from '@chakra-ui/icons'; -import { sessionCanceled } from 'services/api/thunks/session'; -import IAIButton from 'common/components/IAIButton'; - -const cancelButtonSelector = createSelector( - systemSelector, - (system: SystemState) => { - return { - isProcessing: system.isProcessing, - isConnected: system.isConnected, - isCancelable: system.isCancelable, - currentIteration: system.currentIteration, - totalIterations: system.totalIterations, - sessionId: system.sessionId, - cancelType: system.cancelType, - isCancelScheduled: system.isCancelScheduled, - }; - }, - { - memoizeOptions: { - resultEqualityCheck: isEqual, - }, - } -); - -type Props = Omit & { - btnGroupWidth?: string | number; - asIconButton?: boolean; -}; - -const CancelButton = (props: Props) => { - const dispatch = useAppDispatch(); - const { btnGroupWidth = 'auto', asIconButton = false, ...rest } = props; - const { - isProcessing, - isConnected, - isCancelable, - cancelType, - isCancelScheduled, - sessionId, - } = useAppSelector(cancelButtonSelector); - - const handleClickCancel = useCallback(() => { - if (!sessionId) { - return; - } - - if (cancelType === 'scheduled') { - dispatch(cancelScheduled()); - return; - } - - dispatch(sessionCanceled({ session_id: sessionId })); - }, [dispatch, sessionId, cancelType]); - - const { t } = useTranslation(); - - const handleCancelTypeChanged = useCallback( - (value: string | string[]) => { - const newCancelType = Array.isArray(value) ? value[0] : value; - dispatch(cancelTypeChanged(newCancelType as CancelStrategy)); - }, - [dispatch] - ); - - useHotkeys( - 'shift+x', - () => { - if ((isConnected || isProcessing) && isCancelable) { - handleClickCancel(); - } - }, - [isConnected, isProcessing, isCancelable] - ); - - const cancelLabel = useMemo(() => { - if (isCancelScheduled) { - return t('parameters.cancel.isScheduled'); - } - if (cancelType === 'immediate') { - return t('parameters.cancel.immediate'); - } - - return t('parameters.cancel.schedule'); - }, [t, cancelType, isCancelScheduled]); - - const cancelIcon = useMemo(() => { - if (isCancelScheduled) { - return ; - } - if (cancelType === 'immediate') { - return ; - } - - return ; - }, [cancelType, isCancelScheduled]); - - return ( - - {asIconButton ? ( - - ) : ( - - {t('parameters.cancel.cancel')} - - )} - - } - paddingX={0} - paddingY={0} - colorScheme="error" - minWidth={5} - {...rest} - /> - - - - {t('parameters.cancel.immediate')} - - - {t('parameters.cancel.schedule')} - - - - - - ); -}; - -export default memo(CancelButton); diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx deleted file mode 100644 index 0b81fceed7..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/InvokeButton.tsx +++ /dev/null @@ -1,174 +0,0 @@ -import { - Box, - Divider, - Flex, - ListItem, - Text, - UnorderedList, -} from '@chakra-ui/react'; -import { createSelector } from '@reduxjs/toolkit'; -import { userInvoked } from 'app/store/actions'; -import { stateSelector } from 'app/store/store'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -import IAIButton, { IAIButtonProps } from 'common/components/IAIButton'; -import IAIIconButton, { - IAIIconButtonProps, -} from 'common/components/IAIIconButton'; -import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import ProgressBar from 'features/system/components/ProgressBar'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; -import { memo, useCallback } from 'react'; -import { useHotkeys } from 'react-hotkeys-hook'; -import { useTranslation } from 'react-i18next'; -import { FaPlay } from 'react-icons/fa'; -import { useBoardName } from 'services/api/hooks/useBoardName'; - -interface InvokeButton - extends Omit { - asIconButton?: boolean; -} - -export default function InvokeButton(props: InvokeButton) { - const { asIconButton = false, sx, ...rest } = props; - const dispatch = useAppDispatch(); - const { isReady, isProcessing } = useIsReadyToInvoke(); - const activeTabName = useAppSelector(activeTabNameSelector); - - const handleInvoke = useCallback(() => { - dispatch(clampSymmetrySteps()); - dispatch(userInvoked(activeTabName)); - }, [dispatch, activeTabName]); - - const { t } = useTranslation(); - - useHotkeys( - ['ctrl+enter', 'meta+enter'], - handleInvoke, - { - enabled: () => isReady, - preventDefault: true, - enableOnFormTags: ['input', 'textarea', 'select'], - }, - [isReady, activeTabName] - ); - - return ( - - - {!isReady && ( - - - - )} - {asIconButton ? ( - } - isDisabled={!isReady} - onClick={handleInvoke} - tooltip={} - colorScheme="accent" - isLoading={isProcessing} - id="invoke-button" - data-progress={isProcessing} - sx={{ - w: 'full', - flexGrow: 1, - ...sx, - }} - {...rest} - /> - ) : ( - } - aria-label={t('parameters.invoke.invoke')} - type="submit" - data-progress={isProcessing} - isDisabled={!isReady} - onClick={handleInvoke} - colorScheme="accent" - id="invoke-button" - leftIcon={isProcessing ? undefined : } - isLoading={isProcessing} - loadingText={t('parameters.invoke.invoke')} - sx={{ - w: 'full', - flexGrow: 1, - fontWeight: 700, - ...sx, - }} - {...rest} - > - Invoke - - )} - - - ); -} - -const tooltipSelector = createSelector( - [stateSelector], - ({ gallery }) => { - const { autoAddBoardId } = gallery; - - return { - autoAddBoardId, - }; - }, - defaultSelectorOptions -); - -export const InvokeButtonTooltipContent = memo(() => { - const { isReady, reasons } = useIsReadyToInvoke(); - const { autoAddBoardId } = useAppSelector(tooltipSelector); - const autoAddBoardName = useBoardName(autoAddBoardId); - const { t } = useTranslation(); - - return ( - - - {isReady - ? t('parameters.invoke.readyToInvoke') - : t('parameters.invoke.unableToInvoke')} - - {reasons.length > 0 && ( - - {reasons.map((reason, i) => ( - - {reason} - - ))} - - )} - - - {t('parameters.invoke.addingImagesTo')}{' '} - - {autoAddBoardName || 'Uncategorized'} - - - - ); -}); - -InvokeButtonTooltipContent.displayName = 'InvokeButtonTooltipContent'; diff --git a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx b/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx deleted file mode 100644 index 41f1f3c918..0000000000 --- a/invokeai/frontend/web/src/features/parameters/components/ProcessButtons/ProcessButtons.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { Flex } from '@chakra-ui/react'; -import { memo } from 'react'; -import CancelButton from './CancelButton'; -import InvokeButton from './InvokeButton'; - -/** - * Buttons to start and cancel image generation. - */ -const ProcessButtons = () => { - return ( - - - - - ); -}; - -export default memo(ProcessButtons); diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts index dc79281a06..ea6aaf28ca 100644 --- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts +++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts @@ -46,7 +46,6 @@ export interface GenerationState { shouldFitToWidthHeight: boolean; shouldGenerateVariations: boolean; shouldRandomizeSeed: boolean; - shouldUseNoiseSettings: boolean; steps: StepsParam; threshold: number; infillTileSize: number; @@ -88,7 +87,6 @@ export const initialGenerationState: GenerationState = { shouldFitToWidthHeight: true, shouldGenerateVariations: false, shouldRandomizeSeed: true, - shouldUseNoiseSettings: false, steps: 50, threshold: 0, infillTileSize: 32, @@ -244,9 +242,6 @@ export const generationSlice = createSlice({ setVerticalSymmetrySteps: (state, action: PayloadAction) => { state.verticalSymmetrySteps = action.payload; }, - setShouldUseNoiseSettings: (state, action: PayloadAction) => { - state.shouldUseNoiseSettings = action.payload; - }, initialImageChanged: (state, action: PayloadAction) => { const { image_name, width, height } = action.payload; state.initialImage = { imageName: image_name, width, height }; @@ -278,12 +273,6 @@ export const generationSlice = createSlice({ shouldUseCpuNoiseChanged: (state, action: PayloadAction) => { state.shouldUseCpuNoise = action.payload; }, - setShouldShowAdvancedOptions: (state, action: PayloadAction) => { - state.shouldShowAdvancedOptions = action.payload; - if (!action.payload) { - state.clipSkip = 0; - } - }, setAspectRatio: (state, action: PayloadAction) => { const newAspectRatio = action.payload; state.aspectRatio = newAspectRatio; @@ -313,12 +302,6 @@ export const generationSlice = createSlice({ } } }); - builder.addCase(setShouldShowAdvancedOptions, (state, action) => { - const advancedOptionsStatus = action.payload; - if (!advancedOptionsStatus) { - state.clipSkip = 0; - } - }); }, }); @@ -359,12 +342,10 @@ export const { initialImageChanged, modelChanged, vaeSelected, - setShouldUseNoiseSettings, setSeamlessXAxis, setSeamlessYAxis, setClipSkip, shouldUseCpuNoiseChanged, - setShouldShowAdvancedOptions, setAspectRatio, setShouldLockAspectRatio, vaePrecisionChanged, diff --git a/invokeai/frontend/web/src/features/parameters/types/constants.ts b/invokeai/frontend/web/src/features/parameters/types/constants.ts index dd0e738eeb..4494d235af 100644 --- a/invokeai/frontend/web/src/features/parameters/types/constants.ts +++ b/invokeai/frontend/web/src/features/parameters/types/constants.ts @@ -1,6 +1,7 @@ import { components } from 'services/api/schema'; export const MODEL_TYPE_MAP = { + any: 'Any', 'sd-1': 'Stable Diffusion 1.x', 'sd-2': 'Stable Diffusion 2.x', sdxl: 'Stable Diffusion XL', @@ -8,6 +9,7 @@ export const MODEL_TYPE_MAP = { }; export const MODEL_TYPE_SHORT_MAP = { + any: 'Any', 'sd-1': 'SD1', 'sd-2': 'SD2', sdxl: 'SDXL', @@ -15,6 +17,10 @@ export const MODEL_TYPE_SHORT_MAP = { }; export const clipSkipMap = { + any: { + maxClip: 0, + markers: [], + }, 'sd-1': { maxClip: 12, markers: [0, 1, 2, 3, 4, 8, 12], diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts index 5a77231739..1b29993712 100644 --- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts +++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts @@ -210,7 +210,13 @@ export type HeightParam = z.infer; export const isValidHeight = (val: unknown): val is HeightParam => zHeight.safeParse(val).success; -export const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']); +export const zBaseModel = z.enum([ + 'any', + 'sd-1', + 'sd-2', + 'sdxl', + 'sdxl-refiner', +]); export type BaseModelParam = z.infer; @@ -323,7 +329,17 @@ export type ControlNetModelParam = z.infer; export const isValidControlNetModel = ( val: unknown ): val is ControlNetModelParam => zControlNetModel.safeParse(val).success; - +/** + * Zod schema for IP-Adapter models + */ +export const zIPAdapterModel = z.object({ + model_name: z.string().min(1), + base_model: zBaseModel, +}); +/** + * Type alias for model parameter, inferred from its zod schema + */ +export type IPAdapterModelParam = z.infer; /** * Zod schema for l2l strength parameter */ diff --git a/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts new file mode 100644 index 0000000000..4d58046545 --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/util/modelIdToIPAdapterModelParams.ts @@ -0,0 +1,29 @@ +import { logger } from 'app/logging/logger'; +import { zIPAdapterModel } from 'features/parameters/types/parameterSchemas'; +import { IPAdapterModelField } from 'services/api/types'; + +export const modelIdToIPAdapterModelParam = ( + ipAdapterModelId: string +): IPAdapterModelField | undefined => { + const log = logger('models'); + const [base_model, _model_type, model_name] = ipAdapterModelId.split('/'); + + const result = zIPAdapterModel.safeParse({ + base_model, + model_name, + }); + + if (!result.success) { + log.error( + { + ipAdapterModelId, + errors: result.error.format(), + }, + 'Failed to parse IP-Adapter model id' + ); + + return; + } + + return result.data; +}; diff --git a/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts new file mode 100644 index 0000000000..3d17ae47ea --- /dev/null +++ b/invokeai/frontend/web/src/features/parameters/util/useCoreParametersCollapseLabel.ts @@ -0,0 +1,34 @@ +import { useAppSelector } from 'app/store/storeHooks'; +import { useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; + +export const useCoreParametersCollapseLabel = () => { + const { t } = useTranslation(); + const shouldRandomizeSeed = useAppSelector( + (state) => state.generation.shouldRandomizeSeed + ); + const iterations = useAppSelector((state) => state.generation.iterations); + + const iterationsLabel = useMemo(() => { + if (iterations === 1) { + return t('parameters.iterationsWithCount_one', { count: 1 }); + } else { + return t('parameters.iterationsWithCount_other', { count: iterations }); + } + }, [iterations, t]); + + const seedLabel = useMemo(() => { + if (shouldRandomizeSeed) { + return t('parameters.randomSeed'); + } else { + return t('parameters.manualSeed'); + } + }, [shouldRandomizeSeed, t]); + + const iterationsAndSeedLabel = useMemo( + () => [iterationsLabel, seedLabel].join(', '), + [iterationsLabel, seedLabel] + ); + + return { iterationsAndSeedLabel, iterationsLabel, seedLabel }; +}; diff --git a/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx new file mode 100644 index 0000000000..b08f6e9e20 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/CancelCurrentQueueItemButton.tsx @@ -0,0 +1,33 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { useCancelCurrentQueueItem } from '../hooks/useCancelCurrentQueueItem'; +import QueueButton from './common/QueueButton'; +import { ChakraProps } from '@chakra-ui/react'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const CancelCurrentQueueItemButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { cancelQueueItem, isLoading, currentQueueItemId } = + useCancelCurrentQueueItem(); + + return ( + } + onClick={cancelQueueItem} + colorScheme="error" + sx={sx} + /> + ); +}; + +export default memo(CancelCurrentQueueItemButton); diff --git a/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx new file mode 100644 index 0000000000..8f727c3a8a --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ClearQueueButton.tsx @@ -0,0 +1,43 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTrash } from 'react-icons/fa'; +import { useClearQueue } from '../hooks/useClearQueue'; +import QueueButton from './common/QueueButton'; +import { ChakraProps, Text } from '@chakra-ui/react'; +import IAIAlertDialog from 'common/components/IAIAlertDialog'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const ClearQueueButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { clearQueue, isLoading, queueStatus } = useClearQueue(); + + return ( + } + colorScheme="error" + sx={sx} + /> + } + > + {t('queue.clearQueueAlertDialog')} +
+ {t('queue.clearQueueAlertDialog2')} + + ); +}; + +export default memo(ClearQueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx new file mode 100644 index 0000000000..2f7fc6fd8b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/CurrentQueueItemCard.tsx @@ -0,0 +1,18 @@ +import { memo } from 'react'; +import QueueItemCard from './common/QueueItemCard'; +import { useGetCurrentQueueItemQuery } from 'services/api/endpoints/queue'; +import { useTranslation } from 'react-i18next'; + +const CurrentQueueItemCard = () => { + const { t } = useTranslation(); + const { data: currentQueueItemData } = useGetCurrentQueueItemQuery(); + + return ( + + ); +}; + +export default memo(CurrentQueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx new file mode 100644 index 0000000000..f9b9e874ab --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/NextQueueItemCard.tsx @@ -0,0 +1,18 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetNextQueueItemQuery } from 'services/api/endpoints/queue'; +import QueueItemCard from './common/QueueItemCard'; + +const NextQueueItemCard = () => { + const { t } = useTranslation(); + const { data: nextQueueItemData } = useGetNextQueueItemQuery(); + + return ( + + ); +}; + +export default memo(NextQueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx new file mode 100644 index 0000000000..6de357b11f --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/PauseProcessorButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaPause } from 'react-icons/fa'; +import { usePauseProcessor } from '../hooks/usePauseProcessor'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const PauseProcessorButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { pauseProcessor, isLoading, isStarted } = usePauseProcessor(); + + return ( + } + onClick={pauseProcessor} + colorScheme="gold" + /> + ); +}; + +export default memo(PauseProcessorButton); diff --git a/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx new file mode 100644 index 0000000000..5aded74b45 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/PruneQueueButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { BsStars } from 'react-icons/bs'; +import { usePruneQueue } from '../hooks/usePruneQueue'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const PruneQueueButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { pruneQueue, isLoading, finishedCount } = usePruneQueue(); + + return ( + } + onClick={pruneQueue} + colorScheme="blue" + /> + ); +}; + +export default memo(PruneQueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx new file mode 100644 index 0000000000..6e5c1b52a9 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueBackButton.tsx @@ -0,0 +1,30 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useQueueBack } from '../hooks/useQueueBack'; +import EnqueueButtonTooltip from './QueueButtonTooltip'; +import QueueButton from './common/QueueButton'; +import { ChakraProps } from '@chakra-ui/react'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const QueueBackButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { queueBack, isLoading, isDisabled } = useQueueBack(); + return ( + } + sx={sx} + /> + ); +}; + +export default memo(QueueBackButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx new file mode 100644 index 0000000000..eccb2d4628 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx @@ -0,0 +1,82 @@ +import { Divider, Flex, ListItem, Text, UnorderedList } 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 { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; +import { useBoardName } from 'services/api/hooks/useBoardName'; + +const tooltipSelector = createSelector( + [stateSelector], + ({ gallery }) => { + const { autoAddBoardId } = gallery; + return { + autoAddBoardId, + }; + }, + defaultSelectorOptions +); + +type Props = { + prepend?: boolean; +}; + +const QueueButtonTooltipContent = ({ prepend = false }: Props) => { + const { t } = useTranslation(); + const { isReady, reasons } = useIsReadyToEnqueue(); + const { autoAddBoardId } = useAppSelector(tooltipSelector); + const autoAddBoardName = useBoardName(autoAddBoardId); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + + const label = useMemo(() => { + if (isLoading) { + return t('queue.enqueueing'); + } + if (isReady) { + if (prepend) { + return t('queue.queueFront'); + } + return t('queue.queueBack'); + } + return t('queue.notReady'); + }, [isLoading, isReady, prepend, t]); + + return ( + + {label} + {reasons.length > 0 && ( + + {reasons.map((reason, i) => ( + + {reason} + + ))} + + )} + + + Adding images to{' '} + + {autoAddBoardName || 'Uncategorized'} + + + + ); +}; + +export default memo(QueueButtonTooltipContent); + +const StyledDivider = memo(() => ( + +)); + +StyledDivider.displayName = 'StyledDivider'; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx new file mode 100644 index 0000000000..b19b2425b2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueControls.tsx @@ -0,0 +1,100 @@ +import { Button, ButtonGroup, Flex, Spacer } from '@chakra-ui/react'; +import { useAppDispatch } from 'app/store/storeHooks'; +import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton'; +import ClearQueueButton from 'features/queue/components/ClearQueueButton'; +import PauseProcessorButton from 'features/queue/components/PauseProcessorButton'; +import QueueBackButton from 'features/queue/components/QueueBackButton'; +import QueueFrontButton from 'features/queue/components/QueueFrontButton'; +import ResumeProcessorButton from 'features/queue/components/ResumeProcessorButton'; +import ProgressBar from 'features/system/components/ProgressBar'; +import { setActiveTab } from 'features/ui/store/uiSlice'; +import { memo, useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; + +const QueueControls = () => { + const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled; + const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled; + const isPrependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled; + return ( + + + + + {isPrependEnabled ? : <>} + + + + {isResumeEnabled ? : <>} + {isPauseEnabled ? : <>} + + + + + + + + + ); +}; + +export default memo(QueueControls); + +const QueueCounts = memo(() => { + const { t } = useTranslation(); + const dispatch = useAppDispatch(); + const { hasItems, pending } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { + hasItems: false, + pending: 0, + }; + } + + const { pending, in_progress } = data.queue; + + return { + hasItems: pending + in_progress > 0, + pending, + }; + }, + }); + + const handleClick = useCallback(() => { + dispatch(setActiveTab('queue')); + }, [dispatch]); + + return ( + + + + + ); +}); + +QueueCounts.displayName = 'QueueCounts'; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx new file mode 100644 index 0000000000..09ddd47ac0 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx @@ -0,0 +1,32 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaBoltLightning } from 'react-icons/fa6'; +import { useQueueFront } from '../hooks/useQueueFront'; +import EnqueueButtonTooltip from './QueueButtonTooltip'; +import QueueButton from './common/QueueButton'; +import { ChakraProps } from '@chakra-ui/react'; + +type Props = { + asIconButton?: boolean; + sx?: ChakraProps['sx']; +}; + +const QueueFrontButton = ({ asIconButton, sx }: Props) => { + const { t } = useTranslation(); + const { queueFront, isLoading, isDisabled } = useQueueFront(); + return ( + } + icon={} + sx={sx} + /> + ); +}; + +export default memo(QueueFrontButton); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx new file mode 100644 index 0000000000..7f4fd9bc9b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemComponent.tsx @@ -0,0 +1,157 @@ +import { + ButtonGroup, + ChakraProps, + Collapse, + Flex, + Text, +} from '@chakra-ui/react'; +import IAIIconButton from 'common/components/IAIIconButton'; +import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem'; +import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps'; +import { MouseEvent, memo, useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { SessionQueueItemDTO } from 'services/api/types'; +import QueueStatusBadge from '../common/QueueStatusBadge'; +import QueueItemDetail from './QueueItemDetail'; +import { COLUMN_WIDTHS } from './constants'; +import { ListContext } from './types'; + +const selectedStyles = { bg: 'base.300', _dark: { bg: 'base.750' } }; + +type InnerItemProps = { + index: number; + item: SessionQueueItemDTO; + context: ListContext; +}; + +const sx: ChakraProps['sx'] = { + _hover: selectedStyles, + "&[aria-selected='true']": selectedStyles, +}; + +const QueueItemComponent = ({ index, item, context }: InnerItemProps) => { + const { t } = useTranslation(); + const handleToggle = useCallback(() => { + context.toggleQueueItem(item.item_id); + }, [context, item.item_id]); + const { cancelQueueItem, isLoading } = useCancelQueueItem(item.item_id); + const handleCancelQueueItem = useCallback( + (e: MouseEvent) => { + e.stopPropagation(); + cancelQueueItem(); + }, + [cancelQueueItem] + ); + const isOpen = useMemo( + () => context.openQueueItems.includes(item.item_id), + [context.openQueueItems, item.item_id] + ); + + const executionTime = useMemo(() => { + if (!item.completed_at || !item.started_at) { + return; + } + const seconds = getSecondsFromTimestamps( + item.started_at, + item.completed_at + ); + return `${seconds}s`; + }, [item]); + + const isCanceled = useMemo( + () => ['canceled', 'completed', 'failed'].includes(item.status), + [item.status] + ); + + return ( + + + + {index + 1} + + + + + + {executionTime || '-'} + + + + {item.batch_id} + + + + {item.field_values && ( + + {item.field_values + .filter((v) => v.node_path !== 'metadata_accumulator') + .map(({ node_path, field_name, value }) => ( + + + {node_path}.{field_name} + + : {value} + + ))} + + )} + + + + } + /> + + + + + + + + + ); +}; + +export default memo(QueueItemComponent); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx new file mode 100644 index 0000000000..7ce9733aae --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueItemDetail.tsx @@ -0,0 +1,162 @@ +import { ButtonGroup, Flex, Heading, Spinner, Text } from '@chakra-ui/react'; +import IAIButton from 'common/components/IAIButton'; +import DataViewer from 'features/gallery/components/ImageMetadataViewer/DataViewer'; +import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent'; +import { useCancelBatch } from 'features/queue/hooks/useCancelBatch'; +import { useCancelQueueItem } from 'features/queue/hooks/useCancelQueueItem'; +import { getSecondsFromTimestamps } from 'features/queue/util/getSecondsFromTimestamps'; +import { ReactNode, memo, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaTimes } from 'react-icons/fa'; +import { useGetQueueItemQuery } from 'services/api/endpoints/queue'; +import { SessionQueueItemDTO } from 'services/api/types'; + +type Props = { + queueItemDTO: SessionQueueItemDTO; +}; + +const QueueItemComponent = ({ queueItemDTO }: Props) => { + const { session_id, batch_id, item_id } = queueItemDTO; + const { t } = useTranslation(); + const { + cancelBatch, + isLoading: isLoadingCancelBatch, + isCanceled, + } = useCancelBatch(batch_id); + + const { cancelQueueItem, isLoading: isLoadingCancelQueueItem } = + useCancelQueueItem(item_id); + + const { data: queueItem } = useGetQueueItemQuery(item_id); + + const statusAndTiming = useMemo(() => { + if (!queueItem) { + return t('common.loading'); + } + if (!queueItem.completed_at || !queueItem.started_at) { + return t(`queue.${queueItem.status}`); + } + const seconds = getSecondsFromTimestamps( + queueItem.started_at, + queueItem.completed_at + ); + if (queueItem.status === 'completed') { + return `${t('queue.completedIn')} ${seconds}${seconds === 1 ? '' : 's'}`; + } + return `${seconds}s`; + }, [queueItem, t]); + + return ( + + + + + + + + } + colorScheme="error" + > + {t('queue.cancelItem')} + + } + colorScheme="error" + > + {t('queue.cancelBatch')} + + + + {queueItem?.error && ( + + + Error + + 
{queueItem.error}
+ + )} + + {queueItem ? ( + + + + ) : ( + + )} + + + ); +}; + +export default memo(QueueItemComponent); + +type QueueItemDataProps = { label: string; data: ReactNode }; + +const QueueItemData = ({ label, data }: QueueItemDataProps) => { + return ( + + + {label} + + + {data} + + + ); +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx new file mode 100644 index 0000000000..dea1443489 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueList.tsx @@ -0,0 +1,162 @@ +import { Flex, Heading } from '@chakra-ui/react'; +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 { + listCursorChanged, + listPriorityChanged, +} from 'features/queue/store/queueSlice'; +import { + UseOverlayScrollbarsParams, + useOverlayScrollbars, +} from 'overlayscrollbars-react'; +import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react'; +import { useTranslation } from 'react-i18next'; +import { Components, ItemContent, Virtuoso } from 'react-virtuoso'; +import { + queueItemsAdapter, + useListQueueItemsQuery, +} from 'services/api/endpoints/queue'; +import { SessionQueueItemDTO } from 'services/api/types'; +import QueueItemComponent from './QueueItemComponent'; +import QueueListComponent from './QueueListComponent'; +import QueueListHeader from './QueueListHeader'; +import { ListContext } from './types'; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +type TableVirtuosoScrollerRef = (ref: HTMLElement | Window | null) => any; + +const overlayScrollbarsConfig: UseOverlayScrollbarsParams = { + defer: true, + options: { + scrollbars: { + visibility: 'auto', + autoHide: 'scroll', + autoHideDelay: 1300, + theme: 'os-theme-dark', + }, + overflow: { x: 'hidden' }, + }, +}; + +const selector = createSelector( + stateSelector, + ({ queue }) => { + const { listCursor, listPriority } = queue; + return { listCursor, listPriority }; + }, + defaultSelectorOptions +); + +const computeItemKey = (index: number, item: SessionQueueItemDTO): number => + item.item_id; + +const components: Components = { + List: QueueListComponent, +}; + +const itemContent: ItemContent = ( + index, + item, + context +) => ; + +const QueueList = () => { + const { listCursor, listPriority } = useAppSelector(selector); + const dispatch = useAppDispatch(); + const rootRef = useRef(null); + const [scroller, setScroller] = useState(null); + const [initialize, osInstance] = useOverlayScrollbars( + overlayScrollbarsConfig + ); + const { t } = useTranslation(); + + useEffect(() => { + const { current: root } = rootRef; + if (scroller && root) { + initialize({ + target: root, + elements: { + viewport: scroller, + }, + }); + } + return () => osInstance()?.destroy(); + }, [scroller, initialize, osInstance]); + + const { data: listQueueItemsData } = useListQueueItemsQuery({ + cursor: listCursor, + priority: listPriority, + }); + + const queueItems = useMemo(() => { + if (!listQueueItemsData) { + return []; + } + return queueItemsAdapter.getSelectors().selectAll(listQueueItemsData); + }, [listQueueItemsData]); + + const handleLoadMore = useCallback(() => { + if (!listQueueItemsData?.has_more) { + return; + } + const lastItem = queueItems[queueItems.length - 1]; + if (!lastItem) { + return; + } + dispatch(listCursorChanged(lastItem.item_id)); + dispatch(listPriorityChanged(lastItem.priority)); + }, [dispatch, listQueueItemsData?.has_more, queueItems]); + + const [openQueueItems, setOpenQueueItems] = useState([]); + + const toggleQueueItem = useCallback((item_id: number) => { + setOpenQueueItems((prev) => { + if (prev.includes(item_id)) { + return prev.filter((id) => id !== item_id); + } + return [...prev, item_id]; + }); + }, []); + + const context = useMemo( + () => ({ openQueueItems, toggleQueueItem }), + [openQueueItems, toggleQueueItem] + ); + + return ( + + {queueItems.length ? ( + <> + + + + data={queueItems} + endReached={handleLoadMore} + scrollerRef={setScroller as TableVirtuosoScrollerRef} + itemContent={itemContent} + computeItemKey={computeItemKey} + components={components} + context={context} + /> + + + ) : ( + + + {t('queue.queueEmpty')} + + + )} + + ); +}; + +export default memo(QueueList); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx new file mode 100644 index 0000000000..ee123e2cd8 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListComponent.tsx @@ -0,0 +1,18 @@ +import { Flex, forwardRef } from '@chakra-ui/react'; +import { memo } from 'react'; +import { Components } from 'react-virtuoso'; +import { SessionQueueItemDTO } from 'services/api/types'; +import { ListContext } from './types'; + +const QueueListComponent: Components['List'] = + memo( + forwardRef((props, ref) => { + return ( + + {props.children} + + ); + }) + ); + +export default memo(QueueListComponent); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx new file mode 100644 index 0000000000..6c54a72a79 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/QueueListHeader.tsx @@ -0,0 +1,40 @@ +import { Flex, Text } from '@chakra-ui/react'; +import { memo } from 'react'; +import { COLUMN_WIDTHS } from './constants'; + +const QueueListHeader = () => { + return ( + + + # + + + status + + + time + + + batch + + + batch field values + + + ); +}; + +export default memo(QueueListHeader); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts new file mode 100644 index 0000000000..b44a1daf9c --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/constants.ts @@ -0,0 +1,9 @@ +export const COLUMN_WIDTHS = { + number: '3rem', + statusBadge: '5.7rem', + statusDot: 2, + time: '4rem', + batchId: '5rem', + fieldValues: 'auto', + actions: 'auto', +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts new file mode 100644 index 0000000000..c9b317ac57 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueList/types.ts @@ -0,0 +1,4 @@ +export type ListContext = { + openQueueItems: number[]; + toggleQueueItem: (item_id: number) => void; +}; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx new file mode 100644 index 0000000000..72dfdd77ad --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueStatus.tsx @@ -0,0 +1,39 @@ +import { Stat, StatGroup, StatLabel, StatNumber } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; + +const QueueStatus = () => { + const { data: queueStatus } = useGetQueueStatusQuery(); + const { t } = useTranslation(); + return ( + + + {t('queue.in_progress')} + {queueStatus?.queue.in_progress ?? 0} + + + {t('queue.pending')} + {queueStatus?.queue.pending ?? 0} + + + {t('queue.completed')} + {queueStatus?.queue.completed ?? 0} + + + {t('queue.failed')} + {queueStatus?.queue.failed ?? 0} + + + {t('queue.canceled')} + {queueStatus?.queue.canceled ?? 0} + + + {t('queue.total')} + {queueStatus?.queue.total} + + + ); +}; + +export default memo(QueueStatus); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx new file mode 100644 index 0000000000..fb57500461 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueStatusCard.tsx @@ -0,0 +1,54 @@ +import { Flex, Heading, Text } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; + +const QueueStatusCard = () => { + const { t } = useTranslation(); + const { data: queueStatus } = useGetQueueStatusQuery(); + + return ( + + {t('queue.status')} + + + {t('queue.pending')}:{' '} + + {queueStatus?.queue.pending} + + + + {t('queue.in_progress')}:{' '} + + {queueStatus?.queue.in_progress} + + + + {t('queue.completed')}:{' '} + + {queueStatus?.queue.completed} + + + + {t('queue.failed')}:{' '} + + {queueStatus?.queue.failed} + + + + {t('queue.canceled')}:{' '} + + {queueStatus?.queue.canceled} + + + ); +}; + +export default memo(QueueStatusCard); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx new file mode 100644 index 0000000000..254e34c453 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/QueueTabContent.tsx @@ -0,0 +1,61 @@ +import { Box, ButtonGroup, Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import ClearQueueButton from './ClearQueueButton'; +import PauseProcessorButton from './PauseProcessorButton'; +import PruneQueueButton from './PruneQueueButton'; +import QueueList from './QueueList/QueueList'; +import QueueStatus from './QueueStatus'; +import ResumeProcessorButton from './ResumeProcessorButton'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; + +const QueueTabContent = () => { + const isPauseEnabled = useFeatureStatus('pauseQueue').isFeatureEnabled; + const isResumeEnabled = useFeatureStatus('resumeQueue').isFeatureEnabled; + + return ( + + + + {isPauseEnabled || isResumeEnabled ? ( + + {isResumeEnabled ? : <>} + {isPauseEnabled ? : <>} + + ) : ( + <> + )} + + + + + + + + + {/* + + */} + + + + + + ); +}; + +export default memo(QueueTabContent); diff --git a/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx new file mode 100644 index 0000000000..c0be296260 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/ResumeProcessorButton.tsx @@ -0,0 +1,29 @@ +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { FaPlay } from 'react-icons/fa'; +import { useResumeProcessor } from '../hooks/useResumeProcessor'; +import QueueButton from './common/QueueButton'; + +type Props = { + asIconButton?: boolean; +}; + +const ResumeProcessorButton = ({ asIconButton }: Props) => { + const { t } = useTranslation(); + const { resumeProcessor, isLoading, isStarted } = useResumeProcessor(); + + return ( + } + onClick={resumeProcessor} + colorScheme="green" + /> + ); +}; + +export default memo(ResumeProcessorButton); diff --git a/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx b/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx new file mode 100644 index 0000000000..665eaf190a --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/VerticalQueueControls.tsx @@ -0,0 +1,27 @@ +import { ButtonGroup, ButtonGroupProps, Flex } from '@chakra-ui/react'; +import { memo } from 'react'; +import ClearQueueButton from './ClearQueueButton'; +import PauseProcessorButton from './PauseProcessorButton'; +import PruneQueueButton from './PruneQueueButton'; +import ResumeProcessorButton from './ResumeProcessorButton'; + +type Props = ButtonGroupProps & { + asIconButtons?: boolean; +}; + +const VerticalQueueControls = ({ asIconButtons, ...rest }: Props) => { + return ( + + + + + + + + + + + ); +}; + +export default memo(VerticalQueueControls); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx new file mode 100644 index 0000000000..f3ef09f44d --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueButton.tsx @@ -0,0 +1,64 @@ +import { ChakraProps, ThemeTypings } from '@chakra-ui/react'; +import IAIButton from 'common/components/IAIButton'; +import IAIIconButton from 'common/components/IAIIconButton'; +import { ReactElement, ReactNode, memo } from 'react'; + +type Props = { + label: string; + tooltip: ReactNode; + icon?: ReactElement; + onClick?: () => void; + isDisabled?: boolean; + colorScheme: ThemeTypings['colorSchemes']; + asIconButton?: boolean; + isLoading?: boolean; + loadingText?: string; + sx?: ChakraProps['sx']; +}; + +const QueueButton = ({ + label, + tooltip, + icon, + onClick, + isDisabled, + colorScheme, + asIconButton, + isLoading, + loadingText, + sx, +}: Props) => { + if (asIconButton) { + return ( + + ); + } + + return ( + + {label} + + ); +}; + +export default memo(QueueButton); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx new file mode 100644 index 0000000000..9cc991335e --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx @@ -0,0 +1,52 @@ +import { Flex, Heading, Text, Tooltip } from '@chakra-ui/react'; +import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent'; +import { memo } from 'react'; +import { components } from 'services/api/schema'; + +const QueueItemCard = ({ + session_queue_item, + label, +}: { + session_queue_item?: components['schemas']['SessionQueueItem']; + label: string; +}) => { + return ( + + + {label} + {session_queue_item && ( + + {session_queue_item.batch_id} + + )} + + {session_queue_item && ( + + Batch Values: + {session_queue_item.field_values && + session_queue_item.field_values + .filter((v) => v.node_path !== 'metadata_accumulator') + .map(({ node_path, field_name, value }) => ( + + + {node_path}.{field_name} + + : {value} + + ))} + + )} + + ); +}; + +export default memo(QueueItemCard); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx new file mode 100644 index 0000000000..aba4b230bc --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusBadge.tsx @@ -0,0 +1,22 @@ +import { Badge } from '@chakra-ui/react'; +import { memo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { SessionQueueItemStatus } from 'services/api/endpoints/queue'; + +const STATUSES = { + pending: { colorScheme: 'cyan', translationKey: 'queue.pending' }, + in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' }, + completed: { colorScheme: 'green', translationKey: 'queue.completed' }, + failed: { colorScheme: 'red', translationKey: 'queue.failed' }, + canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' }, +}; + +const StatusBadge = ({ status }: { status: SessionQueueItemStatus }) => { + const { t } = useTranslation(); + return ( + + {t(STATUSES[status].translationKey)} + + ); +}; +export default memo(StatusBadge); diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx new file mode 100644 index 0000000000..6a500cada2 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/components/common/QueueStatusDot.tsx @@ -0,0 +1,28 @@ +import { Box } from '@chakra-ui/react'; +import { memo, useMemo } from 'react'; +import { SessionQueueItemStatus } from 'services/api/endpoints/queue'; + +const STATUSES = { + pending: { colorScheme: 'cyan', translationKey: 'queue.pending' }, + in_progress: { colorScheme: 'yellow', translationKey: 'queue.in_progress' }, + completed: { colorScheme: 'green', translationKey: 'queue.completed' }, + failed: { colorScheme: 'red', translationKey: 'queue.failed' }, + canceled: { colorScheme: 'orange', translationKey: 'queue.canceled' }, +}; + +const QueueStatusDot = ({ status }: { status: SessionQueueItemStatus }) => { + const sx = useMemo( + () => ({ + w: 2, + h: 2, + bg: `${STATUSES[status].colorScheme}.${500}`, + _dark: { + bg: `${STATUSES[status].colorScheme}.${400}`, + }, + borderRadius: '100%', + }), + [status] + ); + return ; +}; +export default memo(QueueStatusDot); diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts new file mode 100644 index 0000000000..5281734357 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelBatch.ts @@ -0,0 +1,53 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useCancelByBatchIdsMutation, + useGetBatchStatusQuery, +} from 'services/api/endpoints/queue'; + +export const useCancelBatch = (batch_id: string) => { + const { isCanceled } = useGetBatchStatusQuery( + { batch_id }, + { + selectFromResult: ({ data }) => { + if (!data) { + return { isCanceled: true }; + } + + return { + isCanceled: data?.in_progress === 0 && data?.pending === 0, + }; + }, + } + ); + const [trigger, { isLoading }] = useCancelByBatchIdsMutation({ + fixedCacheKey: 'cancelByBatchIds', + }); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const cancelBatch = useCallback(async () => { + if (isCanceled) { + return; + } + try { + await trigger({ batch_ids: [batch_id] }).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelBatchSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelBatchFailed'), + status: 'error', + }) + ); + } + }, [batch_id, dispatch, isCanceled, t, trigger]); + + return { cancelBatch, isLoading, isCanceled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts new file mode 100644 index 0000000000..62f645fac9 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelCurrentQueueItem.ts @@ -0,0 +1,42 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useCancelQueueItemMutation, + useGetQueueStatusQuery, +} from 'services/api/endpoints/queue'; + +export const useCancelCurrentQueueItem = () => { + const { data: queueStatus } = useGetQueueStatusQuery(); + const [trigger, { isLoading }] = useCancelQueueItemMutation(); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const currentQueueItemId = useMemo( + () => queueStatus?.queue.item_id, + [queueStatus?.queue.item_id] + ); + const cancelQueueItem = useCallback(async () => { + if (!currentQueueItemId) { + return; + } + try { + await trigger(currentQueueItemId).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelFailed'), + status: 'error', + }) + ); + } + }, [currentQueueItemId, dispatch, t, trigger]); + + return { cancelQueueItem, isLoading, currentQueueItemId }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts new file mode 100644 index 0000000000..82ce5765f6 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useCancelQueueItem.ts @@ -0,0 +1,31 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { useCancelQueueItemMutation } from 'services/api/endpoints/queue'; + +export const useCancelQueueItem = (item_id: number) => { + const [trigger, { isLoading }] = useCancelQueueItemMutation(); + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const cancelQueueItem = useCallback(async () => { + try { + await trigger(item_id).unwrap(); + dispatch( + addToast({ + title: t('queue.cancelSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.cancelFailed'), + status: 'error', + }) + ); + } + }, [dispatch, item_id, t, trigger]); + + return { cancelQueueItem, isLoading }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts new file mode 100644 index 0000000000..e09650bc44 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useClearQueue.ts @@ -0,0 +1,47 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useClearQueueMutation, + useGetQueueStatusQuery, +} from 'services/api/endpoints/queue'; +import { listCursorChanged, listPriorityChanged } from '../store/queueSlice'; + +export const useClearQueue = () => { + const { t } = useTranslation(); + + const dispatch = useAppDispatch(); + const { data: queueStatus } = useGetQueueStatusQuery(); + + const [trigger, { isLoading }] = useClearQueueMutation({ + fixedCacheKey: 'clearQueue', + }); + + const clearQueue = useCallback(async () => { + if (!queueStatus?.queue.total) { + return; + } + + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.clearSucceeded'), + status: 'success', + }) + ); + dispatch(listCursorChanged(undefined)); + dispatch(listPriorityChanged(undefined)); + } catch { + dispatch( + addToast({ + title: t('queue.clearFailed'), + status: 'error', + }) + ); + } + }, [queueStatus?.queue.total, trigger, dispatch, t]); + + return { clearQueue, isLoading, queueStatus }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts new file mode 100644 index 0000000000..c0a32c1eb3 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueEmpty.ts @@ -0,0 +1,15 @@ +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; + +export const useIsQueueEmpty = () => { + const { isEmpty } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { isEmpty: true }; + } + return { + isEmpty: data.queue.in_progress === 0 && data.queue.pending === 0, + }; + }, + }); + return isEmpty; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts new file mode 100644 index 0000000000..abb3967b92 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useIsQueueMutationInProgress.ts @@ -0,0 +1,55 @@ +import { + useCancelQueueItemMutation, + // useCancelByBatchIdsMutation, + useClearQueueMutation, + useEnqueueBatchMutation, + useEnqueueGraphMutation, + usePruneQueueMutation, + useResumeProcessorMutation, + usePauseProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const useIsQueueMutationInProgress = () => { + const [_triggerEnqueueBatch, { isLoading: isLoadingEnqueueBatch }] = + useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const [_triggerEnqueueGraph, { isLoading: isLoadingEnqueueGraph }] = + useEnqueueGraphMutation({ + fixedCacheKey: 'enqueueGraph', + }); + const [_triggerResumeProcessor, { isLoading: isLoadingResumeProcessor }] = + useResumeProcessorMutation({ + fixedCacheKey: 'resumeProcessor', + }); + const [_triggerPauseProcessor, { isLoading: isLoadingPauseProcessor }] = + usePauseProcessorMutation({ + fixedCacheKey: 'pauseProcessor', + }); + const [_triggerCancelQueue, { isLoading: isLoadingCancelQueue }] = + useCancelQueueItemMutation({ + fixedCacheKey: 'cancelQueueItem', + }); + const [_triggerClearQueue, { isLoading: isLoadingClearQueue }] = + useClearQueueMutation({ + fixedCacheKey: 'clearQueue', + }); + const [_triggerPruneQueue, { isLoading: isLoadingPruneQueue }] = + usePruneQueueMutation({ + fixedCacheKey: 'pruneQueue', + }); + // const [_triggerCancelByBatchIds, { isLoading: isLoadingCancelByBatchIds }] = + // useCancelByBatchIdsMutation({ + // fixedCacheKey: 'cancelByBatchIds', + // }); + return ( + isLoadingEnqueueBatch || + isLoadingEnqueueGraph || + isLoadingResumeProcessor || + isLoadingPauseProcessor || + isLoadingCancelQueue || + isLoadingClearQueue || + isLoadingPruneQueue + // isLoadingCancelByBatchIds + ); +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts new file mode 100644 index 0000000000..c9b31dafa6 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/usePauseProcessor.ts @@ -0,0 +1,46 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + usePauseProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const usePauseProcessor = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const { data: queueStatus } = useGetQueueStatusQuery(); + const [trigger, { isLoading }] = usePauseProcessorMutation({ + fixedCacheKey: 'pauseProcessor', + }); + + const isStarted = useMemo( + () => Boolean(queueStatus?.processor.is_started), + [queueStatus?.processor.is_started] + ); + + const pauseProcessor = useCallback(async () => { + if (!isStarted) { + return; + } + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.pauseSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.pauseFailed'), + status: 'error', + }) + ); + } + }, [isStarted, trigger, dispatch, t]); + + return { pauseProcessor, isLoading, isStarted }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts new file mode 100644 index 0000000000..6d95a571e7 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/usePruneQueue.ts @@ -0,0 +1,55 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + usePruneQueueMutation, +} from 'services/api/endpoints/queue'; +import { listCursorChanged, listPriorityChanged } from '../store/queueSlice'; + +export const usePruneQueue = () => { + const dispatch = useAppDispatch(); + const { t } = useTranslation(); + const [trigger, { isLoading }] = usePruneQueueMutation({ + fixedCacheKey: 'pruneQueue', + }); + const { finishedCount } = useGetQueueStatusQuery(undefined, { + selectFromResult: ({ data }) => { + if (!data) { + return { finishedCount: 0 }; + } + + return { + finishedCount: + data.queue.completed + data.queue.canceled + data.queue.failed, + }; + }, + }); + + const pruneQueue = useCallback(async () => { + if (!finishedCount) { + return; + } + try { + const data = await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.pruneSucceeded', { item_count: data.deleted }), + status: 'success', + }) + ); + dispatch(listCursorChanged(undefined)); + dispatch(listPriorityChanged(undefined)); + } catch { + dispatch( + addToast({ + title: t('queue.pruneFailed'), + status: 'error', + }) + ); + } + }, [finishedCount, trigger, dispatch, t]); + + return { pruneQueue, isLoading, finishedCount }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts new file mode 100644 index 0000000000..0a2582f56b --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueBack.ts @@ -0,0 +1,26 @@ +import { enqueueRequested } from 'app/store/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useCallback, useMemo } from 'react'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; + +export const useQueueBack = () => { + const dispatch = useAppDispatch(); + const tabName = useAppSelector(activeTabNameSelector); + const { isReady } = useIsReadyToEnqueue(); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const isDisabled = useMemo(() => !isReady, [isReady]); + const queueBack = useCallback(() => { + if (isDisabled) { + return; + } + dispatch(clampSymmetrySteps()); + dispatch(enqueueRequested({ tabName, prepend: false })); + }, [dispatch, isDisabled, tabName]); + + return { queueBack, isLoading, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts new file mode 100644 index 0000000000..e83dfa08ab --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useQueueFront.ts @@ -0,0 +1,32 @@ +import { enqueueRequested } from 'app/store/actions'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; +import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; +import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; +import { useCallback, useMemo } from 'react'; +import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; +import { useFeatureStatus } from '../../system/hooks/useFeatureStatus'; + +export const useQueueFront = () => { + const dispatch = useAppDispatch(); + const tabName = useAppSelector(activeTabNameSelector); + const { isReady } = useIsReadyToEnqueue(); + const [_, { isLoading }] = useEnqueueBatchMutation({ + fixedCacheKey: 'enqueueBatch', + }); + const prependEnabled = useFeatureStatus('prependQueue').isFeatureEnabled; + + const isDisabled = useMemo(() => { + return !isReady || !prependEnabled; + }, [isReady, prependEnabled]); + + const queueFront = useCallback(() => { + if (isDisabled) { + return; + } + dispatch(clampSymmetrySteps()); + dispatch(enqueueRequested({ tabName, prepend: true })); + }, [dispatch, isDisabled, tabName]); + + return { queueFront, isLoading, isDisabled }; +}; diff --git a/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts new file mode 100644 index 0000000000..2097507b56 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/hooks/useResumeProcessor.ts @@ -0,0 +1,46 @@ +import { useAppDispatch } from 'app/store/storeHooks'; +import { addToast } from 'features/system/store/systemSlice'; +import { useCallback, useMemo } from 'react'; +import { useTranslation } from 'react-i18next'; +import { + useGetQueueStatusQuery, + useResumeProcessorMutation, +} from 'services/api/endpoints/queue'; + +export const useResumeProcessor = () => { + const dispatch = useAppDispatch(); + const { data: queueStatus } = useGetQueueStatusQuery(); + const { t } = useTranslation(); + const [trigger, { isLoading }] = useResumeProcessorMutation({ + fixedCacheKey: 'resumeProcessor', + }); + + const isStarted = useMemo( + () => Boolean(queueStatus?.processor.is_started), + [queueStatus?.processor.is_started] + ); + + const resumeProcessor = useCallback(async () => { + if (isStarted) { + return; + } + try { + await trigger().unwrap(); + dispatch( + addToast({ + title: t('queue.resumeSucceeded'), + status: 'success', + }) + ); + } catch { + dispatch( + addToast({ + title: t('queue.resumeFailed'), + status: 'error', + }) + ); + } + }, [isStarted, trigger, dispatch, t]); + + return { resumeProcessor, isLoading, isStarted }; +}; diff --git a/invokeai/frontend/web/src/features/queue/store/nanoStores.ts b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts new file mode 100644 index 0000000000..462cf69d0a --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/store/nanoStores.ts @@ -0,0 +1,5 @@ +import { atom } from 'nanostores'; + +export const DEFAULT_QUEUE_ID = 'default'; + +export const $queueId = atom(DEFAULT_QUEUE_ID); diff --git a/invokeai/frontend/web/src/features/queue/store/queueSlice.ts b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts new file mode 100644 index 0000000000..ee1e8dfefb --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/store/queueSlice.ts @@ -0,0 +1,60 @@ +import { PayloadAction, createSlice } from '@reduxjs/toolkit'; + +export interface QueueState { + listCursor: number | undefined; + listPriority: number | undefined; + selectedQueueItem: string | undefined; + resumeProcessorOnEnqueue: boolean; +} + +export const initialQueueState: QueueState = { + listCursor: undefined, + listPriority: undefined, + selectedQueueItem: undefined, + resumeProcessorOnEnqueue: true, +}; + +const initialState: QueueState = initialQueueState; + +export const queueSlice = createSlice({ + name: 'queue', + initialState, + reducers: { + listCursorChanged: (state, action: PayloadAction) => { + state.listCursor = action.payload; + }, + listPriorityChanged: (state, action: PayloadAction) => { + state.listPriority = action.payload; + }, + listParamsReset: (state) => { + state.listCursor = undefined; + state.listPriority = undefined; + }, + queueItemSelectionToggled: ( + state, + action: PayloadAction + ) => { + if (state.selectedQueueItem === action.payload) { + state.selectedQueueItem = undefined; + } else { + state.selectedQueueItem = action.payload; + } + }, + resumeProcessorOnEnqueueChanged: ( + state, + action: PayloadAction + ) => { + state.resumeProcessorOnEnqueue = action.payload; + }, + }, +}); + +export const { + listCursorChanged, + listPriorityChanged, + listParamsReset, + queueItemSelectionToggled, + resumeProcessorOnEnqueueChanged, +} = queueSlice.actions; + +export default queueSlice.reducer; diff --git a/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts new file mode 100644 index 0000000000..9cc300c960 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/util/formatNumberShort.ts @@ -0,0 +1,4 @@ +export const formatNumberShort = (num: number) => + Intl.NumberFormat('en-US', { + notation: 'standard', + }).format(num); diff --git a/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts new file mode 100644 index 0000000000..5ea9713152 --- /dev/null +++ b/invokeai/frontend/web/src/features/queue/util/getSecondsFromTimestamps.ts @@ -0,0 +1,2 @@ +export const getSecondsFromTimestamps = (start: string, end: string) => + Number(((Date.parse(end) - Date.parse(start)) / 1000).toFixed(2)); diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx index 5433c77b4e..dc8ae775f9 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLImg2ImgDenoisingStrength.tsx @@ -7,6 +7,7 @@ import SubParametersWrapper from 'features/parameters/components/Parameters/SubP import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { setSDXLImg2ImgDenoisingStrength } from '../store/sdxlSlice'; +import IAIInformationalPopover from 'common/components/IAIInformationalPopover'; const selector = createSelector( [stateSelector], @@ -36,19 +37,21 @@ const ParamSDXLImg2ImgDenoisingStrength = () => { return ( - + + + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx index b5ff691c23..7de413ad3a 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLNegativeStyleConditioning.tsx @@ -1,34 +1,27 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; - -import { createSelector } from '@reduxjs/toolkit'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; -import { useTranslation } from 'react-i18next'; - -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 { AnimatePresence } from 'framer-motion'; import { isEqual } from 'lodash-es'; +import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; import { flushSync } from 'react-dom'; +import { useTranslation } from 'react-i18next'; import { setNegativeStylePromptSDXL } from '../store/sdxlSlice'; import SDXLConcatLink from './SDXLConcatLink'; const promptInputSelector = createSelector( - [stateSelector, activeTabNameSelector], - ({ sdxl }, activeTabName) => { + [stateSelector], + ({ sdxl }) => { const { negativeStylePrompt, shouldConcatSDXLStylePrompt } = sdxl; return { prompt: negativeStylePrompt, shouldConcatSDXLStylePrompt, - activeTabName, }; }, { @@ -43,12 +36,11 @@ const promptInputSelector = createSelector( */ const ParamSDXLNegativeStyleConditioning = () => { const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); const { t } = useTranslation(); - const { prompt, activeTabName, shouldConcatSDXLStylePrompt } = + const { prompt, shouldConcatSDXLStylePrompt } = useAppSelector(promptInputSelector); const handleChangePrompt = useCallback( @@ -101,23 +93,13 @@ const ParamSDXLNegativeStyleConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - 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] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx index b193e3adbd..9281d31588 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLPositiveStyleConditioning.tsx @@ -1,34 +1,27 @@ import { Box, FormControl, useDisclosure } from '@chakra-ui/react'; +import { createSelector } from '@reduxjs/toolkit'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; -import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; - -import { createSelector } from '@reduxjs/toolkit'; -import { clampSymmetrySteps } from 'features/parameters/store/generationSlice'; -import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; -import { useTranslation } from 'react-i18next'; - -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 { AnimatePresence } from 'framer-motion'; import { isEqual } from 'lodash-es'; +import { ChangeEvent, KeyboardEvent, memo, useCallback, useRef } from 'react'; import { flushSync } from 'react-dom'; +import { useTranslation } from 'react-i18next'; import { setPositiveStylePromptSDXL } from '../store/sdxlSlice'; import SDXLConcatLink from './SDXLConcatLink'; const promptInputSelector = createSelector( - [stateSelector, activeTabNameSelector], - ({ sdxl }, activeTabName) => { + [stateSelector], + ({ sdxl }) => { const { positiveStylePrompt, shouldConcatSDXLStylePrompt } = sdxl; return { prompt: positiveStylePrompt, shouldConcatSDXLStylePrompt, - activeTabName, }; }, { @@ -43,12 +36,11 @@ const promptInputSelector = createSelector( */ const ParamSDXLPositiveStyleConditioning = () => { const dispatch = useAppDispatch(); - const isReady = useIsReadyToInvoke(); const promptRef = useRef(null); const { isOpen, onClose, onOpen } = useDisclosure(); const { t } = useTranslation(); - const { prompt, activeTabName, shouldConcatSDXLStylePrompt } = + const { prompt, shouldConcatSDXLStylePrompt } = useAppSelector(promptInputSelector); const handleChangePrompt = useCallback( @@ -101,23 +93,13 @@ const ParamSDXLPositiveStyleConditioning = () => { const handleKeyDown = useCallback( (e: KeyboardEvent) => { - 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] + [onOpen, isEmbeddingEnabled] ); - // const handleSelect = (e: MouseEvent) => { - // const target = e.target as HTMLTextAreaElement; - // setCaret({ start: target.selectionStart, end: target.selectionEnd }); - // }; - return ( diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx index 2b40eca382..5a0d7daf4e 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx @@ -1,8 +1,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse'; import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse'; +import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse'; import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse'; -import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse'; -import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse'; import { memo } from 'react'; import ParamSDXLPromptArea from './ParamSDXLPromptArea'; import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse'; @@ -17,8 +16,7 @@ const SDXLImageToImageTabParameters = () => { - - + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx index ff47a42207..ab7e8c8a74 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx @@ -1,8 +1,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse'; import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse'; +import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse'; import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse'; -import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse'; -import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse'; import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters'; import { memo } from 'react'; import ParamSDXLPromptArea from './ParamSDXLPromptArea'; @@ -17,8 +16,7 @@ const SDXLTextToImageTabParameters = () => { - - + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx index 01236d8ec3..a9e94a9df0 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx @@ -1,10 +1,9 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse'; import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse'; +import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse'; import ParamCompositingSettingsCollapse from 'features/parameters/components/Parameters/Canvas/Compositing/ParamCompositingSettingsCollapse'; import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse'; import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse'; -import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse'; -import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse'; import ParamSDXLPromptArea from './ParamSDXLPromptArea'; import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse'; import SDXLUnifiedCanvasTabCoreParameters from './SDXLUnifiedCanvasTabCoreParameters'; @@ -18,10 +17,9 @@ export default function SDXLUnifiedCanvasTabParameters() { - - + ); } diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts index a020a453f7..73f5779a52 100644 --- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts +++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts @@ -6,7 +6,7 @@ import { SchedulerParam, } from 'features/parameters/types/parameterSchemas'; -type SDXLInitialState = { +type SDXLState = { positiveStylePrompt: PositiveStylePromptSDXLParam; negativeStylePrompt: NegativeStylePromptSDXLParam; shouldConcatSDXLStylePrompt: boolean; @@ -21,7 +21,7 @@ type SDXLInitialState = { refinerStart: number; }; -const sdxlInitialState: SDXLInitialState = { +export const initialSDXLState: SDXLState = { positiveStylePrompt: '', negativeStylePrompt: '', shouldConcatSDXLStylePrompt: true, @@ -38,7 +38,7 @@ const sdxlInitialState: SDXLInitialState = { const sdxlSlice = createSlice({ name: 'sdxl', - initialState: sdxlInitialState, + initialState: initialSDXLState, reducers: { setPositiveStylePromptSDXL: (state, action: PayloadAction) => { state.positiveStylePrompt = action.payload; diff --git a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx index 34bd394214..428ae47545 100644 --- a/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx +++ b/invokeai/frontend/web/src/features/system/components/ProgressBar.tsx @@ -1,40 +1,38 @@ import { Progress } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppSelector } from 'app/store/storeHooks'; -import { SystemState } from 'features/system/store/systemSlice'; -import { isEqual } from 'lodash-es'; +import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; import { memo } from 'react'; import { useTranslation } from 'react-i18next'; -import { systemSelector } from '../store/systemSelectors'; - +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; const progressBarSelector = createSelector( - systemSelector, - (system: SystemState) => { + stateSelector, + ({ system }) => { return { - isProcessing: system.isProcessing, - currentStep: system.currentStep, - totalSteps: system.totalSteps, - currentStatusHasSteps: system.currentStatusHasSteps, + isConnected: system.isConnected, + hasSteps: Boolean(system.denoiseProgress), + value: (system.denoiseProgress?.percentage ?? 0) * 100, }; }, - { - memoizeOptions: { resultEqualityCheck: isEqual }, - } + defaultSelectorOptions ); const ProgressBar = () => { const { t } = useTranslation(); - const { isProcessing, currentStep, totalSteps, currentStatusHasSteps } = - useAppSelector(progressBarSelector); - - const value = currentStep ? Math.round((currentStep * 100) / totalSteps) : 0; + const { data: queueStatus } = useGetQueueStatusQuery(); + const { hasSteps, value, isConnected } = useAppSelector(progressBarSelector); return ( ); 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 c1d02aed50..0a50f9ad7f 100644 --- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx +++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx @@ -19,16 +19,17 @@ import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; -import { setShouldShowAdvancedOptions } from 'features/parameters/store/generationSlice'; import { consoleLogLevelChanged, setEnableImageDebugging, setShouldConfirmOnDelete, + setShouldDisableInformationalPopovers, shouldAntialiasProgressImageChanged, shouldLogToConsoleChanged, shouldUseNSFWCheckerChanged, shouldUseWatermarkerChanged, } from 'features/system/store/systemSlice'; +import { LANGUAGES } from 'features/system/store/types'; import { setShouldAutoChangeDimensions, setShouldShowProgressInViewer, @@ -48,7 +49,6 @@ import { useTranslation } from 'react-i18next'; import { LogLevelName } from 'roarr'; import { useGetAppConfigQuery } from 'services/api/endpoints/appInfo'; import { useFeatureStatus } from '../../hooks/useFeatureStatus'; -import { LANGUAGES } from '../../store/constants'; import { languageSelector } from '../../store/systemSelectors'; import { languageChanged } from '../../store/systemSlice'; import SettingSwitch from './SettingSwitch'; @@ -58,7 +58,7 @@ import StyledFlex from './StyledFlex'; const selector = createSelector( [stateSelector], - ({ system, ui, generation }) => { + ({ system, ui }) => { const { shouldConfirmOnDelete, enableImageDebugging, @@ -67,6 +67,7 @@ const selector = createSelector( shouldAntialiasProgressImage, shouldUseNSFWChecker, shouldUseWatermarker, + shouldDisableInformationalPopovers, } = system; const { @@ -75,8 +76,6 @@ const selector = createSelector( shouldAutoChangeDimensions, } = ui; - const { shouldShowAdvancedOptions } = generation; - return { shouldConfirmOnDelete, enableImageDebugging, @@ -85,10 +84,10 @@ const selector = createSelector( consoleLogLevel, shouldLogToConsole, shouldAntialiasProgressImage, - shouldShowAdvancedOptions, shouldUseNSFWChecker, shouldUseWatermarker, shouldAutoChangeDimensions, + shouldDisableInformationalPopovers, }; }, { @@ -118,8 +117,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { const shouldShowDeveloperSettings = config?.shouldShowDeveloperSettings ?? true; const shouldShowResetWebUiText = config?.shouldShowResetWebUiText ?? true; - const shouldShowAdvancedOptionsSettings = - config?.shouldShowAdvancedOptionsSettings ?? true; const shouldShowClearIntermediates = config?.shouldShowClearIntermediates ?? true; const shouldShowLocalizationToggle = @@ -161,10 +158,10 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { consoleLogLevel, shouldLogToConsole, shouldAntialiasProgressImage, - shouldShowAdvancedOptions, shouldUseNSFWChecker, shouldUseWatermarker, shouldAutoChangeDimensions, + shouldDisableInformationalPopovers, } = useAppSelector(selector); const handleClickResetWebUI = useCallback(() => { @@ -242,15 +239,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { dispatch(setShouldConfirmOnDelete(e.target.checked)) } /> - {shouldShowAdvancedOptionsSettings && ( - ) => - dispatch(setShouldShowAdvancedOptions(e.target.checked)) - } - /> - )} @@ -323,6 +311,15 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => { onChange={handleLanguageChanged} /> )} + ) => + dispatch( + setShouldDisableInformationalPopovers(e.target.checked) + ) + } + /> {shouldShowDeveloperSettings && ( diff --git a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx index 4a19ee7fa3..2f740bbe78 100644 --- a/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx +++ b/invokeai/frontend/web/src/features/system/components/StatusIndicator.tsx @@ -1,5 +1,6 @@ import { Flex, Icon, Text } 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 { AnimatePresence, motion } from 'framer-motion'; @@ -8,27 +9,17 @@ import { memo, useMemo, useRef } from 'react'; import { useTranslation } from 'react-i18next'; import { FaCircle } from 'react-icons/fa'; import { useHoverDirty } from 'react-use'; -import { systemSelector } from '../store/systemSelectors'; +import { useGetQueueStatusQuery } from 'services/api/endpoints/queue'; +import { STATUS_TRANSLATION_KEYS } from '../store/types'; const statusIndicatorSelector = createSelector( - systemSelector, - (system) => { - const { - isConnected, - isProcessing, - statusTranslationKey, - currentIteration, - totalIterations, - currentStatusHasSteps, - } = system; + stateSelector, + ({ system }) => { + const { isConnected, status } = system; return { isConnected, - isProcessing, - currentIteration, - totalIterations, - statusTranslationKey, - currentStatusHasSteps, + statusTranslationKey: STATUS_TRANSLATION_KEYS[status], }; }, defaultSelectorOptions @@ -47,35 +38,24 @@ const LIGHT_COLOR_MAP = { }; const StatusIndicator = () => { - const { - isConnected, - isProcessing, - currentIteration, - totalIterations, - statusTranslationKey, - } = useAppSelector(statusIndicatorSelector); + const { isConnected, statusTranslationKey } = useAppSelector( + statusIndicatorSelector + ); const { t } = useTranslation(); const ref = useRef(null); + const { data: queueStatus } = useGetQueueStatusQuery(); - const statusString = useMemo(() => { - if (isProcessing) { + const statusColor = useMemo(() => { + if (!isConnected) { + return 'error'; + } + + if (queueStatus?.queue.in_progress) { return 'working'; } - if (isConnected) { - return 'ok'; - } - - return 'error'; - }, [isProcessing, isConnected]); - - const iterationsText = useMemo(() => { - if (!(currentIteration && totalIterations)) { - return; - } - - return ` (${currentIteration}/${totalIterations})`; - }, [currentIteration, totalIterations]); + return 'ok'; + }, [queueStatus?.queue.in_progress, isConnected]); const isHovered = useHoverDirty(ref); @@ -103,12 +83,11 @@ const StatusIndicator = () => { fontWeight: '600', pb: '1px', userSelect: 'none', - color: LIGHT_COLOR_MAP[statusString], - _dark: { color: DARK_COLOR_MAP[statusString] }, + color: LIGHT_COLOR_MAP[statusColor], + _dark: { color: DARK_COLOR_MAP[statusColor] }, }} > {t(statusTranslationKey as ResourceKey)} - {iterationsText} )} @@ -117,8 +96,8 @@ const StatusIndicator = () => { as={FaCircle} sx={{ boxSize: '0.5rem', - color: LIGHT_COLOR_MAP[statusString], - _dark: { color: DARK_COLOR_MAP[statusString] }, + color: LIGHT_COLOR_MAP[statusColor], + _dark: { color: DARK_COLOR_MAP[statusColor] }, }} /> diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts index 36a61be969..8a20b050ed 100644 --- a/invokeai/frontend/web/src/features/system/store/configSlice.ts +++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts @@ -24,8 +24,8 @@ export const initialConfigState: AppConfig = { iterations: { initial: 1, min: 1, - sliderMax: 20, - inputMax: 9999, + sliderMax: 1000, + inputMax: 10000, fineStep: 1, coarseStep: 1, }, diff --git a/invokeai/frontend/web/src/features/system/store/constants.ts b/invokeai/frontend/web/src/features/system/store/constants.ts deleted file mode 100644 index 4e7dd0b9a8..0000000000 --- a/invokeai/frontend/web/src/features/system/store/constants.ts +++ /dev/null @@ -1,20 +0,0 @@ -import i18n from 'i18n'; - -export const LANGUAGES = { - ar: i18n.t('common.langArabic', { lng: 'ar' }), - nl: i18n.t('common.langDutch', { lng: 'nl' }), - en: i18n.t('common.langEnglish', { lng: 'en' }), - fr: i18n.t('common.langFrench', { lng: 'fr' }), - de: i18n.t('common.langGerman', { lng: 'de' }), - he: i18n.t('common.langHebrew', { lng: 'he' }), - it: i18n.t('common.langItalian', { lng: 'it' }), - ja: i18n.t('common.langJapanese', { lng: 'ja' }), - ko: i18n.t('common.langKorean', { lng: 'ko' }), - pl: i18n.t('common.langPolish', { lng: 'pl' }), - pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }), - pt: i18n.t('common.langPortuguese', { lng: 'pt' }), - ru: i18n.t('common.langRussian', { lng: 'ru' }), - zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }), - es: i18n.t('common.langSpanish', { lng: 'es' }), - uk: i18n.t('common.langUkranian', { lng: 'ua' }), -}; diff --git a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts index b5376afc4f..df0d349d00 100644 --- a/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts +++ b/invokeai/frontend/web/src/features/system/store/systemPersistDenylist.ts @@ -1,21 +1,7 @@ -import { SystemState } from './systemSlice'; +import { SystemState } from './types'; -/** - * System slice persist denylist - */ export const systemPersistDenylist: (keyof SystemState)[] = [ - 'currentIteration', - 'currentStep', - 'isCancelable', 'isConnected', - 'isESRGANAvailable', - 'isGFPGANAvailable', - 'isProcessing', - 'totalIterations', - 'totalSteps', - 'isCancelScheduled', - 'progressImage', - 'wereModelsReceived', - 'isPersisted', - 'isUploading', + 'denoiseProgress', + 'status', ]; diff --git a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts index 900d8e0bd6..2e38f32283 100644 --- a/invokeai/frontend/web/src/features/system/store/systemSelectors.ts +++ b/invokeai/frontend/web/src/features/system/store/systemSelectors.ts @@ -1,21 +1,9 @@ import { createSelector } from '@reduxjs/toolkit'; -import { RootState } from 'app/store/store'; +import { stateSelector } from 'app/store/store'; import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions'; -export const systemSelector = (state: RootState) => state.system; - -export const toastQueueSelector = (state: RootState) => state.system.toastQueue; - export const languageSelector = createSelector( - systemSelector, - (system) => system.language, + stateSelector, + ({ system }) => system.language, defaultSelectorOptions ); - -export const isProcessingSelector = (state: RootState) => - state.system.isProcessing; - -export const selectIsBusy = createSelector( - (state: RootState) => state, - (state) => state.system.isProcessing || !state.system.isConnected -); diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts index 022762bc78..c74ab87dcf 100644 --- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts +++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts @@ -1,14 +1,9 @@ import { UseToastOptions } from '@chakra-ui/react'; import { PayloadAction, createSlice, isAnyOf } from '@reduxjs/toolkit'; -import { InvokeLogLevel } from 'app/logging/logger'; -import { userInvoked } from 'app/store/actions'; import { t } from 'i18next'; import { get, startCase, truncate, upperFirst } from 'lodash-es'; import { LogLevelName } from 'roarr'; -import { - isAnySessionRejected, - sessionCanceled, -} from 'services/api/thunks/session'; +import { isAnySessionRejected } from 'services/api/thunks/session'; import { appSocketConnected, appSocketDisconnected, @@ -18,122 +13,39 @@ import { appSocketInvocationError, appSocketInvocationRetrievalError, appSocketInvocationStarted, + appSocketModelLoadCompleted, + appSocketModelLoadStarted, + appSocketQueueItemStatusChanged, appSocketSessionRetrievalError, - appSocketSubscribed, - appSocketUnsubscribed, } from 'services/events/actions'; -import { ProgressImage } from 'services/events/types'; +import { calculateStepPercentage } from '../util/calculateStepPercentage'; import { makeToast } from '../util/makeToast'; -import { LANGUAGES } from './constants'; +import { SystemState, LANGUAGES } from './types'; import { zPydanticValidationError } from './zodSchemas'; -export type CancelStrategy = 'immediate' | 'scheduled'; - -export interface SystemState { - isGFPGANAvailable: boolean; - isESRGANAvailable: boolean; - isConnected: boolean; - isProcessing: boolean; - shouldConfirmOnDelete: boolean; - currentStep: number; - totalSteps: number; - currentIteration: number; - totalIterations: number; - currentStatusHasSteps: boolean; - isCancelable: boolean; - enableImageDebugging: boolean; - toastQueue: UseToastOptions[]; - /** - * The current progress image - */ - progressImage: ProgressImage | null; - /** - * The current socket session id - */ - sessionId: string | null; - /** - * Cancel strategy - */ - cancelType: CancelStrategy; - /** - * Whether or not a scheduled cancelation is pending - */ - isCancelScheduled: boolean; - /** - * Array of node IDs that we want to handle when events received - */ - subscribedNodeIds: string[]; - /** - * Whether or not the available models were received - */ - wereModelsReceived: boolean; - /** - * The console output logging level - */ - consoleLogLevel: InvokeLogLevel; - shouldLogToConsole: boolean; - // TODO: probably better to not store keys here, should just be a string that maps to the translation key - statusTranslationKey: string; - /** - * When a session is canceled, its ID is stored here until a new session is created. - */ - canceledSession: string; - isPersisted: boolean; - shouldAntialiasProgressImage: boolean; - language: keyof typeof LANGUAGES; - isUploading: boolean; - shouldUseNSFWChecker: boolean; - shouldUseWatermarker: boolean; -} - export const initialSystemState: SystemState = { isConnected: false, - isProcessing: false, - isGFPGANAvailable: true, - isESRGANAvailable: true, shouldConfirmOnDelete: true, - currentStep: 0, - totalSteps: 0, - currentIteration: 0, - totalIterations: 0, - currentStatusHasSteps: false, - isCancelable: true, enableImageDebugging: false, toastQueue: [], - progressImage: null, + denoiseProgress: null, shouldAntialiasProgressImage: false, - sessionId: null, - cancelType: 'immediate', - isCancelScheduled: false, - subscribedNodeIds: [], - wereModelsReceived: false, consoleLogLevel: 'debug', shouldLogToConsole: true, - statusTranslationKey: 'common.statusDisconnected', - canceledSession: '', - isPersisted: false, language: 'en', - isUploading: false, shouldUseNSFWChecker: false, shouldUseWatermarker: false, + shouldDisableInformationalPopovers: false, + status: 'DISCONNECTED', }; export const systemSlice = createSlice({ name: 'system', initialState: initialSystemState, reducers: { - setIsProcessing: (state, action: PayloadAction) => { - state.isProcessing = action.payload; - }, - setCurrentStatus: (state, action: PayloadAction) => { - state.statusTranslationKey = action.payload; - }, setShouldConfirmOnDelete: (state, action: PayloadAction) => { state.shouldConfirmOnDelete = action.payload; }, - setIsCancelable: (state, action: PayloadAction) => { - state.isCancelable = action.payload; - }, setEnableImageDebugging: (state, action: PayloadAction) => { state.enableImageDebugging = action.payload; }, @@ -143,30 +55,6 @@ export const systemSlice = createSlice({ clearToastQueue: (state) => { state.toastQueue = []; }, - /** - * A cancel was scheduled - */ - cancelScheduled: (state) => { - state.isCancelScheduled = true; - }, - /** - * The scheduled cancel was aborted - */ - scheduledCancelAborted: (state) => { - state.isCancelScheduled = false; - }, - /** - * The cancel type was changed - */ - cancelTypeChanged: (state, action: PayloadAction) => { - state.cancelType = action.payload; - }, - /** - * The array of subscribed node ids was changed - */ - subscribedNodeIdsSet: (state, action: PayloadAction) => { - state.subscribedNodeIds = action.payload; - }, consoleLogLevelChanged: (state, action: PayloadAction) => { state.consoleLogLevel = action.payload; }, @@ -179,51 +67,30 @@ export const systemSlice = createSlice({ ) => { state.shouldAntialiasProgressImage = action.payload; }, - isPersistedChanged: (state, action: PayloadAction) => { - state.isPersisted = action.payload; - }, languageChanged: (state, action: PayloadAction) => { state.language = action.payload; }, - progressImageSet(state, action: PayloadAction) { - state.progressImage = action.payload; - }, shouldUseNSFWCheckerChanged(state, action: PayloadAction) { state.shouldUseNSFWChecker = action.payload; }, shouldUseWatermarkerChanged(state, action: PayloadAction) { state.shouldUseWatermarker = action.payload; }, + setShouldDisableInformationalPopovers( + state, + action: PayloadAction + ) { + state.shouldDisableInformationalPopovers = action.payload; + }, }, extraReducers(builder) { - /** - * Socket Subscribed - */ - builder.addCase(appSocketSubscribed, (state, action) => { - state.sessionId = action.payload.sessionId; - state.canceledSession = ''; - }); - - /** - * Socket Unsubscribed - */ - builder.addCase(appSocketUnsubscribed, (state) => { - state.sessionId = null; - }); - /** * Socket Connected */ builder.addCase(appSocketConnected, (state) => { state.isConnected = true; - state.isCancelable = true; - state.isProcessing = false; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - state.currentIteration = 0; - state.totalIterations = 0; - state.statusTranslationKey = 'common.statusConnected'; + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); /** @@ -231,106 +98,75 @@ export const systemSlice = createSlice({ */ builder.addCase(appSocketDisconnected, (state) => { state.isConnected = false; - state.isProcessing = false; - state.isCancelable = true; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.statusTranslationKey = 'common.statusDisconnected'; + state.denoiseProgress = null; + state.status = 'DISCONNECTED'; }); /** * Invocation Started */ builder.addCase(appSocketInvocationStarted, (state) => { - state.isCancelable = true; - state.isProcessing = true; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.statusTranslationKey = 'common.statusGenerating'; + state.denoiseProgress = null; + state.status = 'PROCESSING'; }); /** * Generator Progress */ builder.addCase(appSocketGeneratorProgress, (state, action) => { - const { step, total_steps, progress_image } = action.payload.data; + const { + step, + total_steps, + order, + progress_image, + graph_execution_state_id: session_id, + queue_batch_id: batch_id, + } = action.payload.data; - state.isProcessing = true; - state.isCancelable = true; - // state.currentIteration = 0; - // state.totalIterations = 0; - state.currentStatusHasSteps = true; - state.currentStep = step + 1; // TODO: step starts at -1, think this is a bug - state.totalSteps = total_steps; - state.progressImage = progress_image ?? null; - state.statusTranslationKey = 'common.statusGenerating'; + state.denoiseProgress = { + step, + total_steps, + order, + percentage: calculateStepPercentage(step, total_steps, order), + progress_image, + session_id, + batch_id, + }; + + state.status = 'PROCESSING'; }); /** * Invocation Complete */ - builder.addCase(appSocketInvocationComplete, (state, action) => { - const { data } = action.payload; - - // state.currentIteration = 0; - // state.totalIterations = 0; - state.currentStatusHasSteps = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusProcessingComplete'; - - if (state.canceledSession === data.graph_execution_state_id) { - state.isProcessing = false; - state.isCancelable = true; - } + builder.addCase(appSocketInvocationComplete, (state) => { + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); /** * Graph Execution State Complete */ builder.addCase(appSocketGraphExecutionStateComplete, (state) => { - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; + state.denoiseProgress = null; + state.status = 'CONNECTED'; }); - /** - * User Invoked - */ - - builder.addCase(userInvoked, (state) => { - state.isProcessing = true; - state.isCancelable = true; - state.currentStatusHasSteps = false; - state.statusTranslationKey = 'common.statusPreparing'; + builder.addCase(appSocketModelLoadStarted, (state) => { + state.status = 'LOADING_MODEL'; }); - /** - * Session Canceled - FULFILLED - */ - builder.addCase(sessionCanceled.fulfilled, (state, action) => { - state.canceledSession = action.meta.arg.session_id; - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; + builder.addCase(appSocketModelLoadCompleted, (state) => { + state.status = 'CONNECTED'; + }); - state.toastQueue.push( - makeToast({ title: t('toast.canceled'), status: 'warning' }) - ); + builder.addCase(appSocketQueueItemStatusChanged, (state, action) => { + if ( + ['completed', 'canceled', 'failed'].includes(action.payload.data.status) + ) { + state.status = 'CONNECTED'; + state.denoiseProgress = null; + } }); // *** Matchers - must be after all cases *** @@ -340,14 +176,6 @@ export const systemSlice = createSlice({ * Session Created - REJECTED */ builder.addMatcher(isAnySessionRejected, (state, action) => { - state.isProcessing = false; - state.isCancelable = false; - state.isCancelScheduled = false; - state.currentStep = 0; - state.totalSteps = 0; - state.statusTranslationKey = 'common.statusConnected'; - state.progressImage = null; - let errorDescription = undefined; const duration = 5000; @@ -391,16 +219,6 @@ export const systemSlice = createSlice({ * 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'), @@ -413,25 +231,17 @@ export const systemSlice = createSlice({ }); export const { - setIsProcessing, setShouldConfirmOnDelete, - setCurrentStatus, - setIsCancelable, setEnableImageDebugging, addToast, clearToastQueue, - cancelScheduled, - scheduledCancelAborted, - cancelTypeChanged, - subscribedNodeIdsSet, consoleLogLevelChanged, shouldLogToConsoleChanged, - isPersistedChanged, shouldAntialiasProgressImageChanged, languageChanged, - progressImageSet, shouldUseNSFWCheckerChanged, shouldUseWatermarkerChanged, + setShouldDisableInformationalPopovers, } = systemSlice.actions; export default systemSlice.reducer; diff --git a/invokeai/frontend/web/src/features/system/store/types.ts b/invokeai/frontend/web/src/features/system/store/types.ts new file mode 100644 index 0000000000..29bc836dae --- /dev/null +++ b/invokeai/frontend/web/src/features/system/store/types.ts @@ -0,0 +1,64 @@ +import { UseToastOptions } from '@chakra-ui/react'; +import { InvokeLogLevel } from 'app/logging/logger'; +import i18n from 'i18n'; +import { ProgressImage } from 'services/events/types'; + +export type SystemStatus = + | 'CONNECTED' + | 'DISCONNECTED' + | 'PROCESSING' + | 'ERROR' + | 'LOADING_MODEL'; + +export type DenoiseProgress = { + session_id: string; + batch_id: string; + progress_image: ProgressImage | null | undefined; + step: number; + total_steps: number; + order: number; + percentage: number; +}; + +export interface SystemState { + isConnected: boolean; + shouldConfirmOnDelete: boolean; + enableImageDebugging: boolean; + toastQueue: UseToastOptions[]; + denoiseProgress: DenoiseProgress | null; + consoleLogLevel: InvokeLogLevel; + shouldLogToConsole: boolean; + shouldAntialiasProgressImage: boolean; + language: keyof typeof LANGUAGES; + shouldUseNSFWChecker: boolean; + shouldUseWatermarker: boolean; + status: SystemStatus; + shouldDisableInformationalPopovers: boolean; +} + +export const LANGUAGES = { + ar: i18n.t('common.langArabic', { lng: 'ar' }), + nl: i18n.t('common.langDutch', { lng: 'nl' }), + en: i18n.t('common.langEnglish', { lng: 'en' }), + fr: i18n.t('common.langFrench', { lng: 'fr' }), + de: i18n.t('common.langGerman', { lng: 'de' }), + he: i18n.t('common.langHebrew', { lng: 'he' }), + it: i18n.t('common.langItalian', { lng: 'it' }), + ja: i18n.t('common.langJapanese', { lng: 'ja' }), + ko: i18n.t('common.langKorean', { lng: 'ko' }), + pl: i18n.t('common.langPolish', { lng: 'pl' }), + pt_BR: i18n.t('common.langBrPortuguese', { lng: 'pt_BR' }), + pt: i18n.t('common.langPortuguese', { lng: 'pt' }), + ru: i18n.t('common.langRussian', { lng: 'ru' }), + zh_CN: i18n.t('common.langSimplifiedChinese', { lng: 'zh_CN' }), + es: i18n.t('common.langSpanish', { lng: 'es' }), + uk: i18n.t('common.langUkranian', { lng: 'ua' }), +}; + +export const STATUS_TRANSLATION_KEYS: Record = { + CONNECTED: 'common.statusConnected', + DISCONNECTED: 'common.statusDisconnected', + PROCESSING: 'common.statusProcessing', + ERROR: 'common.statusError', + LOADING_MODEL: 'common.statusLoadingModel', +}; diff --git a/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts new file mode 100644 index 0000000000..080c7b1ee6 --- /dev/null +++ b/invokeai/frontend/web/src/features/system/util/calculateStepPercentage.ts @@ -0,0 +1,17 @@ +export const calculateStepPercentage = ( + step: number, + total_steps: number, + order: number +) => { + if (total_steps === 0) { + return 0; + } + + // we add one extra to step so that the progress bar will be full when denoise completes + + if (order === 2) { + return Math.floor((step + 1 + 1) / 2) / Math.floor((total_steps + 1) / 2); + } + + return (step + 1 + 1) / (total_steps + 1); +}; diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx index 7af1a4d674..b18a069cfa 100644 --- a/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx +++ b/invokeai/frontend/web/src/features/ui/components/FloatingGalleryButton.tsx @@ -37,16 +37,14 @@ const FloatingGalleryButton = ({ } sx={{ p: 0, px: 3, h: 48, - borderStartEndRadius: 0, - borderEndEndRadius: 0, - shadow: '2xl', + borderEndRadius: 0, }} /> diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx index aa24896591..da4d409943 100644 --- a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx +++ b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx @@ -1,7 +1,8 @@ -import { ChakraProps, Flex, Portal } from '@chakra-ui/react'; +import { ButtonGroup, ChakraProps, Flex, Portal } from '@chakra-ui/react'; import IAIIconButton from 'common/components/IAIIconButton'; -import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton'; -import InvokeButton from 'features/parameters/components/ProcessButtons/InvokeButton'; +import CancelCurrentQueueItemButton from 'features/queue/components/CancelCurrentQueueItemButton'; +import ClearQueueButton from 'features/queue/components/ClearQueueButton'; +import QueueBackButton from 'features/queue/components/QueueBackButton'; import { RefObject, memo } from 'react'; import { useTranslation } from 'react-i18next'; @@ -9,9 +10,8 @@ import { FaSlidersH } from 'react-icons/fa'; import { ImperativePanelHandle } from 'react-resizable-panels'; const floatingButtonStyles: ChakraProps['sx'] = { - borderStartStartRadius: 0, - borderEndStartRadius: 0, - shadow: '2xl', + borderStartRadius: 0, + flexGrow: 1, }; type Props = { @@ -43,16 +43,23 @@ const FloatingSidePanelButtons = ({ insetInlineStart="5.13rem" direction="column" gap={2} + h={48} > - } - /> - - + + } + /> + + + + ); diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx index 0f5a8d92ff..fb5756b121 100644 --- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx +++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx @@ -10,7 +10,6 @@ import { VisuallyHidden, } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; -import AuxiliaryProgressIndicator from 'app/components/AuxiliaryProgressIndicator'; import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent'; @@ -22,8 +21,9 @@ import { isEqual } from 'lodash-es'; import { MouseEvent, ReactNode, memo, useCallback, useMemo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; -import { FaCube, FaFont, FaImage } from 'react-icons/fa'; -import { MdDeviceHub, MdGridOn } from 'react-icons/md'; +import { FaCube, FaFont, FaImage, FaStream } from 'react-icons/fa'; +import { FaCircleNodes } from 'react-icons/fa6'; +import { MdGridOn } from 'react-icons/md'; import { Panel, PanelGroup } from 'react-resizable-panels'; import { usePanel } from '../hooks/usePanel'; import { usePanelStorage } from '../hooks/usePanelStorage'; @@ -37,6 +37,7 @@ import ParametersPanel from './ParametersPanel'; import ImageTab from './tabs/ImageToImage/ImageToImageTab'; import ModelManagerTab from './tabs/ModelManager/ModelManagerTab'; import NodesTab from './tabs/Nodes/NodesTab'; +import QueueTab from './tabs/Queue/QueueTab'; import ResizeHandle from './tabs/ResizeHandle'; import TextToImageTab from './tabs/TextToImage/TextToImageTab'; import UnifiedCanvasTab from './tabs/UnifiedCanvas/UnifiedCanvasTab'; @@ -70,7 +71,9 @@ const tabs: InvokeTabInfo[] = [ { id: 'nodes', translationKey: 'common.nodes', - icon: , + icon: ( + + ), content: , }, { @@ -79,6 +82,12 @@ const tabs: InvokeTabInfo[] = [ icon: , content: , }, + { + id: 'queue', + translationKey: 'queue.queue', + icon: , + content: , + }, ]; const enabledTabsSelector = createSelector( @@ -97,8 +106,8 @@ const SIDE_PANEL_MIN_SIZE_PX = 448; const MAIN_PANEL_MIN_SIZE_PX = 448; const GALLERY_PANEL_MIN_SIZE_PX = 360; -export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager']; -export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager']; +export const NO_GALLERY_TABS: InvokeTabName[] = ['modelManager', 'queue']; +export const NO_SIDE_PANEL_TABS: InvokeTabName[] = ['modelManager', 'queue']; const InvokeTabs = () => { const activeTab = useAppSelector(activeTabIndexSelector); @@ -225,7 +234,6 @@ const InvokeTabs = () => { > {tabs} - { { <> { gap: 2, }} > - + { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const ImageToImageTabCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - - ); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx index fb1a5167a6..b2845f0e85 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/SimpleAddModels.tsx @@ -1,16 +1,14 @@ import { Flex } from '@chakra-ui/react'; -// import { addNewModel } from 'app/socketio/actions'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import { useTranslation } from 'react-i18next'; import { SelectItem } from '@mantine/core'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { RootState } from 'app/store/store'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import IAIMantineSelect from 'common/components/IAIMantineSelect'; import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; import { useImportMainModelsMutation } from 'services/api/endpoints/models'; const predictionSelectData: SelectItem[] = [ @@ -29,10 +27,6 @@ export default function SimpleAddModels() { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const [importMainModel, { isLoading }] = useImportMainModelsMutation(); const addModelForm = useForm({ @@ -55,7 +49,7 @@ export default function SimpleAddModels() { dispatch( addToast( makeToast({ - title: t('toast.modelAddSimple'), + title: t('toast.modelAddedSimple'), status: 'success', }) ) @@ -64,7 +58,6 @@ export default function SimpleAddModels() { }) .catch((error) => { if (error) { - console.log(error); dispatch( addToast( makeToast({ @@ -95,11 +88,7 @@ export default function SimpleAddModels() { defaultValue="none" {...addModelForm.getInputProps('prediction_type')} /> - + {t('modelManager.addModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx index 6c3ebf2530..f4943d3ce1 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/CheckpointModelEdit.tsx @@ -1,11 +1,10 @@ import { Badge, Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { useCallback, useEffect, useState } from 'react'; @@ -26,8 +25,6 @@ type CheckpointModelEditProps = { }; export default function CheckpointModelEdit(props: CheckpointModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation(); @@ -189,11 +186,7 @@ export default function CheckpointModelEdit(props: CheckpointModelEditProps) { /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx index 39ba4bc4ce..67ec1f53db 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/DiffusersModelEdit.tsx @@ -1,12 +1,11 @@ import { Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; import { MODEL_TYPE_MAP } from 'features/parameters/types/constants'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { @@ -22,8 +21,6 @@ type DiffusersModelEditProps = { }; export default function DiffusersModelEdit(props: DiffusersModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateMainModel, { isLoading }] = useUpdateMainModelsMutation(); @@ -134,11 +131,7 @@ export default function DiffusersModelEdit(props: DiffusersModelEditProps) { label={t('modelManager.vaeLocation')} {...diffusersEditForm.getInputProps('vae')} /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx index c87550c7d1..284ce95b3a 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/LoRAModelEdit.tsx @@ -1,17 +1,16 @@ import { Divider, Flex, Text } from '@chakra-ui/react'; import { useForm } from '@mantine/form'; -import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIButton from 'common/components/IAIButton'; import IAIMantineTextInput from 'common/components/IAIMantineInput'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; -import { addToast } from 'features/system/store/systemSlice'; -import { useCallback } from 'react'; -import { useTranslation } from 'react-i18next'; import { LORA_MODEL_FORMAT_MAP, MODEL_TYPE_MAP, } from 'features/parameters/types/constants'; +import { addToast } from 'features/system/store/systemSlice'; +import { makeToast } from 'features/system/util/makeToast'; +import { useCallback } from 'react'; +import { useTranslation } from 'react-i18next'; import { LoRAModelConfigEntity, useUpdateLoRAModelsMutation, @@ -24,8 +23,6 @@ type LoRAModelEditProps = { }; export default function LoRAModelEdit(props: LoRAModelEditProps) { - const isBusy = useAppSelector(selectIsBusy); - const { model } = props; const [updateLoRAModel, { isLoading }] = useUpdateLoRAModelsMutation(); @@ -123,11 +120,7 @@ export default function LoRAModelEdit(props: LoRAModelEditProps) { label={t('modelManager.modelLocation')} {...loraEditForm.getInputProps('path')} /> - + {t('modelManager.updateModel')} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx index 396ece2063..1e744e44ac 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx @@ -1,11 +1,10 @@ import { DeleteIcon } from '@chakra-ui/icons'; import { Badge, Flex, Text, Tooltip } from '@chakra-ui/react'; import { makeToast } from 'features/system/util/makeToast'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch } from 'app/store/storeHooks'; import IAIAlertDialog from 'common/components/IAIAlertDialog'; import IAIButton from 'common/components/IAIButton'; import IAIIconButton from 'common/components/IAIIconButton'; -import { selectIsBusy } from 'features/system/store/systemSelectors'; import { addToast } from 'features/system/store/systemSlice'; import { useCallback } from 'react'; import { useTranslation } from 'react-i18next'; @@ -25,7 +24,6 @@ type ModelListItemProps = { }; export default function ModelListItem(props: ModelListItemProps) { - const isBusy = useAppSelector(selectIsBusy); const { t } = useTranslation(); const dispatch = useAppDispatch(); const [deleteMainModel] = useDeleteMainModelsMutation(); @@ -129,7 +127,6 @@ export default function ModelListItem(props: ModelListItemProps) { } aria-label={t('modelManager.deleteConfig')} - isDisabled={isBusy} colorScheme="error" /> } diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx new file mode 100644 index 0000000000..42dd5ee459 --- /dev/null +++ b/invokeai/frontend/web/src/features/ui/components/tabs/Queue/QueueTab.tsx @@ -0,0 +1,8 @@ +import QueueTabContent from 'features/queue/components/QueueTabContent'; +import { memo } from 'react'; + +const QueueTab = () => { + return ; +}; + +export default memo(QueueTab); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx index 152efd3e17..ea6ef03e09 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx @@ -1,8 +1,5 @@ import { Box, 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 ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale'; import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations'; @@ -10,26 +7,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet import ParamSize from 'features/parameters/components/Parameters/Core/ParamSize'; import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps'; import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull'; +import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel'; import { memo } from 'react'; -const selector = createSelector( - stateSelector, - ({ ui, generation }) => { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const TextToImageTabCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - - ); diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx index a68794a930..a865bcd0de 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasCopyToClipboard.tsx @@ -1,9 +1,7 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasCopiedToClipboard } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard'; import { useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; @@ -12,13 +10,8 @@ import { FaCopy } from 'react-icons/fa'; export default function UnifiedCanvasCopyToClipboard() { const isStaging = useAppSelector(isStagingSelector); - const canvasBaseLayer = getCanvasBaseLayer(); const { isClipboardAPIAvailable } = useCopyImageToClipboard(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -31,7 +24,7 @@ export default function UnifiedCanvasCopyToClipboard() { enabled: () => !isStaging && isClipboardAPIAvailable, preventDefault: true, }, - [canvasBaseLayer, isProcessing, isClipboardAPIAvailable] + [isClipboardAPIAvailable] ); const handleCopyImageToClipboard = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx index e836766f1a..66c378e068 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasMergeVisible.tsx @@ -1,21 +1,14 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasMerged } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { FaLayerGroup } from 'react-icons/fa'; - export default function UnifiedCanvasMergeVisible() { const dispatch = useAppDispatch(); const { t } = useTranslation(); - const canvasBaseLayer = getCanvasBaseLayer(); const isStaging = useAppSelector(isStagingSelector); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); useHotkeys( ['shift+m'], @@ -26,7 +19,7 @@ export default function UnifiedCanvasMergeVisible() { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [] ); const handleMergeVisible = () => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx index 78b57181e6..31617a4dbe 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasSaveToGallery.tsx @@ -1,20 +1,13 @@ -import { RootState } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; import { canvasSavedToGallery } from 'features/canvas/store/actions'; import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; -import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; import { FaSave } from 'react-icons/fa'; export default function UnifiedCanvasSaveToGallery() { const isStaging = useAppSelector(isStagingSelector); - const canvasBaseLayer = getCanvasBaseLayer(); - const isProcessing = useAppSelector( - (state: RootState) => state.system.isProcessing - ); - const dispatch = useAppDispatch(); const { t } = useTranslation(); @@ -27,7 +20,7 @@ export default function UnifiedCanvasSaveToGallery() { enabled: () => !isStaging, preventDefault: true, }, - [canvasBaseLayer, isProcessing] + [] ); const handleSaveToGallery = () => { diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx index a11f40a257..59a0890960 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasBeta/UnifiedCanvasToolbar/UnifiedCanvasToolSelect.tsx @@ -1,19 +1,16 @@ import { ButtonGroup, Flex } from '@chakra-ui/react'; import { createSelector } from '@reduxjs/toolkit'; +import { stateSelector } from 'app/store/store'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import IAIIconButton from 'common/components/IAIIconButton'; -import { - canvasSelector, - isStagingSelector, -} from 'features/canvas/store/canvasSelectors'; +import { isStagingSelector } from 'features/canvas/store/canvasSelectors'; import { addEraseRect, addFillRect, setTool, } from 'features/canvas/store/canvasSlice'; -import { systemSelector } from 'features/system/store/systemSelectors'; import { isEqual } from 'lodash-es'; -import { memo } from 'react'; +import { memo, useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; @@ -26,15 +23,13 @@ import { } from 'react-icons/fa'; export const selector = createSelector( - [canvasSelector, isStagingSelector, systemSelector], - (canvas, isStaging, system) => { - const { isProcessing } = system; + [stateSelector, isStagingSelector], + ({ canvas }, isStaging) => { const { tool } = canvas; return { tool, isStaging, - isProcessing, }; }, { @@ -107,11 +102,23 @@ const UnifiedCanvasToolSelect = () => { } ); - const handleSelectBrushTool = () => dispatch(setTool('brush')); - const handleSelectEraserTool = () => dispatch(setTool('eraser')); - const handleSelectColorPickerTool = () => dispatch(setTool('colorPicker')); - const handleFillRect = () => dispatch(addFillRect()); - const handleEraseBoundingBox = () => dispatch(addEraseRect()); + const handleSelectBrushTool = useCallback( + () => dispatch(setTool('brush')), + [dispatch] + ); + const handleSelectEraserTool = useCallback( + () => dispatch(setTool('eraser')), + [dispatch] + ); + const handleSelectColorPickerTool = useCallback( + () => dispatch(setTool('colorPicker')), + [dispatch] + ); + const handleFillRect = useCallback(() => dispatch(addFillRect()), [dispatch]); + const handleEraseBoundingBox = useCallback( + () => dispatch(addEraseRect()), + [dispatch] + ); return ( diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx index 36f7ff7320..c57a68ed62 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx @@ -1,8 +1,5 @@ import { Box, 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 ParamBoundingBoxSize from 'features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize'; import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale'; @@ -11,26 +8,19 @@ import ParamModelandVAEandScheduler from 'features/parameters/components/Paramet import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps'; import ImageToImageStrength from 'features/parameters/components/Parameters/ImageToImage/ImageToImageStrength'; import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull'; +import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel'; import { memo } from 'react'; -const selector = createSelector( - stateSelector, - ({ ui, generation }) => { - const { shouldUseSliders } = ui; - const { shouldRandomizeSeed } = generation; - - const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined; - - return { shouldUseSliders, activeLabel }; - }, - defaultSelectorOptions -); - const UnifiedCanvasCoreParameters = () => { - const { shouldUseSliders, activeLabel } = useAppSelector(selector); + const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders); + const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel(); return ( - + { - ); diff --git a/invokeai/frontend/web/src/features/ui/store/tabMap.ts b/invokeai/frontend/web/src/features/ui/store/tabMap.ts index 0cae8eac43..f4abd17203 100644 --- a/invokeai/frontend/web/src/features/ui/store/tabMap.ts +++ b/invokeai/frontend/web/src/features/ui/store/tabMap.ts @@ -4,7 +4,7 @@ export const tabMap = [ 'unifiedCanvas', 'nodes', 'modelManager', - 'batch', + 'queue', ] as const; export type InvokeTabName = (typeof tabMap)[number]; diff --git a/invokeai/frontend/web/src/services/api/endpoints/boards.ts b/invokeai/frontend/web/src/services/api/endpoints/boards.ts index 82167dc7ba..53b3bfd59d 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/boards.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/boards.ts @@ -9,7 +9,7 @@ import { OffsetPaginatedResults_ImageDTO_, UpdateBoardArg, } from 'services/api/types'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; import { getListImagesUrl } from '../util'; export const boardsApi = api.injectEndpoints({ @@ -21,7 +21,7 @@ export const boardsApi = api.injectEndpoints({ query: (arg) => ({ url: 'boards/', params: arg }), providesTags: (result) => { // any list of boards - const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; + const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; if (result) { // and individual tags for each board @@ -44,7 +44,7 @@ export const boardsApi = api.injectEndpoints({ }), providesTags: (result) => { // any list of boards - const tags: ApiFullTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; + const tags: ApiTagDescription[] = [{ type: 'Board', id: LIST_TAG }]; if (result) { // and individual tags for each board diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts index cb7a38c14f..e653a6ec3e 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/images.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts @@ -13,7 +13,7 @@ import { } from 'features/nodes/types/types'; import { getMetadataAndWorkflowFromImageBlob } from 'features/nodes/util/getMetadataAndWorkflowFromImageBlob'; import { keyBy } from 'lodash-es'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; import { $authToken, $projectId } from '../client'; import { components, paths } from '../schema'; import { @@ -1310,7 +1310,7 @@ export const imagesApi = api.injectEndpoints({ }), invalidatesTags: (result, error, { imageDTOs }) => { const touchedBoardIds: string[] = []; - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'BoardImagesTotal', id: 'none' }, { type: 'BoardAssetsTotal', id: 'none' }, ]; diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts index 9db7762344..41c0dee7fd 100644 --- a/invokeai/frontend/web/src/services/api/endpoints/models.ts +++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts @@ -5,6 +5,7 @@ import { BaseModelType, CheckpointModelConfig, ControlNetModelConfig, + IPAdapterModelConfig, DiffusersModelConfig, ImportModelConfig, LoRAModelConfig, @@ -17,7 +18,7 @@ import { } from 'services/api/types'; import queryString from 'query-string'; -import { ApiFullTagDescription, LIST_TAG, api } from '..'; +import { ApiTagDescription, LIST_TAG, api } from '..'; import { operations, paths } from '../schema'; export type DiffusersModelConfigEntity = DiffusersModelConfig & { id: string }; @@ -36,6 +37,10 @@ export type ControlNetModelConfigEntity = ControlNetModelConfig & { id: string; }; +export type IPAdapterModelConfigEntity = IPAdapterModelConfig & { + id: string; +}; + export type TextualInversionModelConfigEntity = TextualInversionModelConfig & { id: string; }; @@ -47,6 +52,7 @@ type AnyModelConfigEntity = | OnnxModelConfigEntity | LoRAModelConfigEntity | ControlNetModelConfigEntity + | IPAdapterModelConfigEntity | TextualInversionModelConfigEntity | VaeModelConfigEntity; @@ -135,6 +141,10 @@ export const controlNetModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), }); +export const ipAdapterModelsAdapter = + createEntityAdapter({ + sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), + }); export const textualInversionModelsAdapter = createEntityAdapter({ sortComparer: (a, b) => a.model_name.localeCompare(b.model_name), @@ -179,9 +189,7 @@ export const modelsApi = api.injectEndpoints({ return `models/?${query}`; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'OnnxModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'OnnxModel', id: LIST_TAG }]; if (result) { tags.push( @@ -218,9 +226,7 @@ export const modelsApi = api.injectEndpoints({ return `models/?${query}`; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'MainModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'MainModel', id: LIST_TAG }]; if (result) { tags.push( @@ -354,9 +360,7 @@ export const modelsApi = api.injectEndpoints({ getLoRAModels: build.query, void>({ query: () => ({ url: 'models/', params: { model_type: 'lora' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'LoRAModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'LoRAModel', id: LIST_TAG }]; if (result) { tags.push( @@ -410,7 +414,7 @@ export const modelsApi = api.injectEndpoints({ >({ query: () => ({ url: 'models/', params: { model_type: 'controlnet' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'ControlNetModel', id: LIST_TAG }, ]; @@ -435,12 +439,41 @@ export const modelsApi = api.injectEndpoints({ ); }, }), + getIPAdapterModels: build.query< + EntityState, + void + >({ + query: () => ({ url: 'models/', params: { model_type: 'ip_adapter' } }), + providesTags: (result) => { + const tags: ApiTagDescription[] = [ + { type: 'IPAdapterModel', id: LIST_TAG }, + ]; + + if (result) { + tags.push( + ...result.ids.map((id) => ({ + type: 'IPAdapterModel' as const, + id, + })) + ); + } + + return tags; + }, + transformResponse: (response: { models: IPAdapterModelConfig[] }) => { + const entities = createModelEntities( + response.models + ); + return ipAdapterModelsAdapter.setAll( + ipAdapterModelsAdapter.getInitialState(), + entities + ); + }, + }), getVaeModels: build.query, void>({ query: () => ({ url: 'models/', params: { model_type: 'vae' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ - { type: 'VaeModel', id: LIST_TAG }, - ]; + const tags: ApiTagDescription[] = [{ type: 'VaeModel', id: LIST_TAG }]; if (result) { tags.push( @@ -469,7 +502,7 @@ export const modelsApi = api.injectEndpoints({ >({ query: () => ({ url: 'models/', params: { model_type: 'embedding' } }), providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'TextualInversionModel', id: LIST_TAG }, ]; @@ -504,7 +537,7 @@ export const modelsApi = api.injectEndpoints({ }; }, providesTags: (result) => { - const tags: ApiFullTagDescription[] = [ + const tags: ApiTagDescription[] = [ { type: 'ScannedModels', id: LIST_TAG }, ]; @@ -533,6 +566,7 @@ export const { useGetMainModelsQuery, useGetOnnxModelsQuery, useGetControlNetModelsQuery, + useGetIPAdapterModelsQuery, useGetLoRAModelsQuery, useGetTextualInversionModelsQuery, useGetVaeModelsQuery, diff --git a/invokeai/frontend/web/src/services/api/endpoints/queue.ts b/invokeai/frontend/web/src/services/api/endpoints/queue.ts new file mode 100644 index 0000000000..6d436b231f --- /dev/null +++ b/invokeai/frontend/web/src/services/api/endpoints/queue.ts @@ -0,0 +1,382 @@ +import { + AnyAction, + EntityState, + ThunkDispatch, + createEntityAdapter, +} from '@reduxjs/toolkit'; +import { $queueId } from 'features/queue/store/nanoStores'; +import { listParamsReset } from 'features/queue/store/queueSlice'; +import queryString from 'query-string'; +import { ApiTagDescription, api } from '..'; +import { components, paths } from '../schema'; + +const getListQueueItemsUrl = ( + queryArgs?: paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query'] +) => { + const query = queryArgs + ? queryString.stringify(queryArgs, { + arrayFormat: 'none', + }) + : undefined; + + if (query) { + return `queue/${$queueId.get()}/list?${query}`; + } + + return `queue/${$queueId.get()}/list`; +}; + +export type SessionQueueItemStatus = NonNullable< + NonNullable< + paths['/api/v1/queue/{queue_id}/list']['get']['parameters']['query'] + >['status'] +>; + +export const queueItemsAdapter = createEntityAdapter< + components['schemas']['SessionQueueItemDTO'] +>({ + selectId: (queueItem) => queueItem.item_id, + sortComparer: (a, b) => { + // Sort by priority in descending order + if (a.priority > b.priority) { + return -1; + } + if (a.priority < b.priority) { + return 1; + } + + // If priority is the same, sort by id in ascending order + if (a.item_id < b.item_id) { + return -1; + } + if (a.item_id > b.item_id) { + return 1; + } + + return 0; + }, +}); + +export const queueApi = api.injectEndpoints({ + endpoints: (build) => ({ + enqueueBatch: build.mutation< + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['responses']['201']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json'] + >({ + query: (arg) => ({ + url: `queue/${$queueId.get()}/enqueue_batch`, + body: arg, + method: 'POST', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + enqueueGraph: build.mutation< + paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['responses']['201']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/enqueue_graph']['post']['requestBody']['content']['application/json'] + >({ + query: (arg) => ({ + url: `queue/${$queueId.get()}/enqueue_graph`, + body: arg, + method: 'POST', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + resumeProcessor: build.mutation< + paths['/api/v1/queue/{queue_id}/processor/resume']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/processor/resume`, + method: 'PUT', + }), + invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'], + }), + pauseProcessor: build.mutation< + paths['/api/v1/queue/{queue_id}/processor/pause']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/processor/pause`, + method: 'PUT', + }), + invalidatesTags: ['CurrentSessionQueueItem', 'SessionQueueStatus'], + }), + pruneQueue: build.mutation< + paths['/api/v1/queue/{queue_id}/prune']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/prune`, + method: 'PUT', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'BatchStatus', + 'SessionQueueItem', + 'SessionQueueItemDTO', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + clearQueue: build.mutation< + paths['/api/v1/queue/{queue_id}/clear']['put']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/clear`, + method: 'PUT', + }), + invalidatesTags: [ + 'SessionQueueStatus', + 'SessionProcessorStatus', + 'BatchStatus', + 'CurrentSessionQueueItem', + 'NextSessionQueueItem', + 'SessionQueueItem', + 'SessionQueueItemDTO', + ], + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + }), + getCurrentQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/current']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/current`, + method: 'GET', + }), + providesTags: (result) => { + const tags: ApiTagDescription[] = ['CurrentSessionQueueItem']; + if (result) { + tags.push({ type: 'SessionQueueItem', id: result.item_id }); + } + return tags; + }, + }), + getNextQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/next']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/next`, + method: 'GET', + }), + providesTags: (result) => { + const tags: ApiTagDescription[] = ['NextSessionQueueItem']; + if (result) { + tags.push({ type: 'SessionQueueItem', id: result.item_id }); + } + return tags; + }, + }), + getQueueStatus: build.query< + paths['/api/v1/queue/{queue_id}/status']['get']['responses']['200']['content']['application/json'], + void + >({ + query: () => ({ + url: `queue/${$queueId.get()}/status`, + method: 'GET', + }), + + providesTags: ['SessionQueueStatus'], + }), + getBatchStatus: build.query< + paths['/api/v1/queue/{queue_id}/b/{batch_id}/status']['get']['responses']['200']['content']['application/json'], + { batch_id: string } + >({ + query: ({ batch_id }) => ({ + url: `queue/${$queueId.get()}/b/${batch_id}/status`, + method: 'GET', + }), + providesTags: (result) => { + if (!result) { + return []; + } + return [{ type: 'BatchStatus', id: result.batch_id }]; + }, + }), + getQueueItem: build.query< + paths['/api/v1/queue/{queue_id}/i/{item_id}']['get']['responses']['200']['content']['application/json'], + number + >({ + query: (item_id) => ({ + url: `queue/${$queueId.get()}/i/${item_id}`, + method: 'GET', + }), + providesTags: (result) => { + if (!result) { + return []; + } + return [{ type: 'SessionQueueItem', id: result.item_id }]; + }, + }), + cancelQueueItem: build.mutation< + paths['/api/v1/queue/{queue_id}/i/{item_id}/cancel']['put']['responses']['200']['content']['application/json'], + number + >({ + query: (item_id) => ({ + url: `queue/${$queueId.get()}/i/${item_id}/cancel`, + method: 'PUT', + }), + onQueryStarted: async (item_id, { dispatch, queryFulfilled }) => { + try { + const { data } = await queryFulfilled; + dispatch( + queueApi.util.updateQueryData( + 'listQueueItems', + undefined, + (draft) => { + queueItemsAdapter.updateOne(draft, { + id: item_id, + changes: { status: data.status }, + }); + } + ) + ); + } catch { + // no-op + } + }, + invalidatesTags: (result) => { + if (!result) { + return []; + } + return [ + { type: 'SessionQueueItem', id: result.item_id }, + { type: 'SessionQueueItemDTO', id: result.item_id }, + { type: 'BatchStatus', id: result.batch_id }, + ]; + }, + }), + cancelByBatchIds: build.mutation< + paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['responses']['200']['content']['application/json'], + paths['/api/v1/queue/{queue_id}/cancel_by_batch_ids']['put']['requestBody']['content']['application/json'] + >({ + query: (body) => ({ + url: `queue/${$queueId.get()}/cancel_by_batch_ids`, + method: 'PUT', + body, + }), + onQueryStarted: async (arg, api) => { + const { dispatch, queryFulfilled } = api; + try { + await queryFulfilled; + resetListQueryData(dispatch); + } catch { + // no-op + } + }, + invalidatesTags: [ + 'SessionQueueItem', + 'SessionQueueItemDTO', + 'BatchStatus', + ], + }), + listQueueItems: build.query< + EntityState & { + has_more: boolean; + }, + { cursor?: number; priority?: number } | undefined + >({ + query: (queryArgs) => ({ + url: getListQueueItemsUrl(queryArgs), + method: 'GET', + }), + serializeQueryArgs: () => { + return `queue/${$queueId.get()}/list`; + }, + transformResponse: ( + response: components['schemas']['CursorPaginatedResults_SessionQueueItemDTO_'] + ) => + queueItemsAdapter.addMany( + queueItemsAdapter.getInitialState({ + has_more: response.has_more, + }), + response.items + ), + merge: (cache, response) => { + queueItemsAdapter.addMany( + cache, + queueItemsAdapter.getSelectors().selectAll(response) + ); + cache.has_more = response.has_more; + }, + forceRefetch: ({ currentArg, previousArg }) => currentArg !== previousArg, + keepUnusedDataFor: 60 * 5, // 5 minutes + }), + }), +}); + +export const { + useCancelByBatchIdsMutation, + useEnqueueGraphMutation, + useEnqueueBatchMutation, + usePauseProcessorMutation, + useResumeProcessorMutation, + useClearQueueMutation, + usePruneQueueMutation, + useGetCurrentQueueItemQuery, + useGetQueueStatusQuery, + useGetQueueItemQuery, + useGetNextQueueItemQuery, + useListQueueItemsQuery, + useCancelQueueItemMutation, + useGetBatchStatusQuery, +} = queueApi; + +// eslint-disable-next-line @typescript-eslint/no-explicit-any +const resetListQueryData = (dispatch: ThunkDispatch) => { + dispatch( + queueApi.util.updateQueryData('listQueueItems', undefined, (draft) => { + // remove all items from the list + queueItemsAdapter.removeAll(draft); + // reset the has_more flag + draft.has_more = false; + }) + ); + // set the list cursor and priority to undefined + dispatch(listParamsReset()); + // we have to manually kick off another query to get the first page and re-initialize the list + dispatch(queueApi.endpoints.listQueueItems.initiate(undefined)); +}; diff --git a/invokeai/frontend/web/src/services/api/endpoints/utilities.ts b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts new file mode 100644 index 0000000000..4d2c77c188 --- /dev/null +++ b/invokeai/frontend/web/src/services/api/endpoints/utilities.ts @@ -0,0 +1,20 @@ +import { api } from '..'; +import { components } from '../schema'; + +export const utilitiesApi = api.injectEndpoints({ + endpoints: (build) => ({ + dynamicPrompts: build.query< + components['schemas']['DynamicPromptsResponse'], + { prompt: string; max_prompts: number } + >({ + query: (arg) => ({ + url: 'utilities/dynamicprompts', + body: arg, + method: 'POST', + }), + keepUnusedDataFor: 86400, // 24 hours + }), + }), +}); + +export const { useDynamicPromptsQuery } = utilitiesApi; diff --git a/invokeai/frontend/web/src/services/api/index.ts b/invokeai/frontend/web/src/services/api/index.ts index 325456901b..8b4f886bb0 100644 --- a/invokeai/frontend/web/src/services/api/index.ts +++ b/invokeai/frontend/web/src/services/api/index.ts @@ -1,4 +1,4 @@ -import { FullTagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions'; +import { TagDescription } from '@reduxjs/toolkit/dist/query/endpointDefinitions'; import { BaseQueryFn, FetchArgs, @@ -18,10 +18,14 @@ export const tagTypes = [ 'ImageMetadata', 'ImageMetadataFromFile', 'Model', + 'SessionQueueItem', + 'SessionQueueItemDTO', + 'SessionQueueItemDTOList', + 'SessionQueueStatus', + 'SessionProcessorStatus', + 'BatchStatus', ]; -export type ApiFullTagDescription = FullTagDescription< - (typeof tagTypes)[number] ->; +export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>; export const LIST_TAG = 'LIST'; const dynamicBaseQuery: BaseQueryFn< diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index dfa292c643..26cb798594 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -8,11 +8,13 @@ export type paths = { "/api/v1/sessions/": { /** * List Sessions + * @deprecated * @description Gets a list of sessions, optionally searching */ get: operations["list_sessions"]; /** * Create Session + * @deprecated * @description Creates a new session, optionally initializing it with an invocation graph */ post: operations["create_session"]; @@ -20,6 +22,7 @@ export type paths = { "/api/v1/sessions/{session_id}": { /** * Get Session + * @deprecated * @description Gets a session */ get: operations["get_session"]; @@ -27,6 +30,7 @@ export type paths = { "/api/v1/sessions/{session_id}/nodes": { /** * Add Node + * @deprecated * @description Adds a node to the graph */ post: operations["add_node"]; @@ -34,11 +38,13 @@ export type paths = { "/api/v1/sessions/{session_id}/nodes/{node_path}": { /** * Update Node + * @deprecated * @description Updates a node in the graph and removes all linked edges */ put: operations["update_node"]; /** * Delete Node + * @deprecated * @description Deletes a node in the graph and removes all linked edges */ delete: operations["delete_node"]; @@ -46,6 +52,7 @@ export type paths = { "/api/v1/sessions/{session_id}/edges": { /** * Add Edge + * @deprecated * @description Adds an edge to the graph */ post: operations["add_edge"]; @@ -53,6 +60,7 @@ export type paths = { "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": { /** * Delete Edge + * @deprecated * @description Deletes an edge from the graph */ delete: operations["delete_edge"]; @@ -60,15 +68,24 @@ export type paths = { "/api/v1/sessions/{session_id}/invoke": { /** * Invoke Session + * @deprecated * @description Invokes a session */ put: operations["invoke_session"]; /** * Cancel Session Invoke + * @deprecated * @description Invokes a session */ delete: operations["cancel_session_invoke"]; }; + "/api/v1/utilities/dynamicprompts": { + /** + * Parse Dynamicprompts + * @description Creates a batch process + */ + post: operations["parse_dynamicprompts"]; + }; "/api/v1/models/": { /** * List Models @@ -300,6 +317,104 @@ export type paths = { */ post: operations["set_log_level"]; }; + "/api/v1/queue/{queue_id}/enqueue_graph": { + /** + * Enqueue Graph + * @description Enqueues a graph for single execution. + */ + post: operations["enqueue_graph"]; + }; + "/api/v1/queue/{queue_id}/enqueue_batch": { + /** + * Enqueue Batch + * @description Processes a batch and enqueues the output graphs for execution. + */ + post: operations["enqueue_batch"]; + }; + "/api/v1/queue/{queue_id}/list": { + /** + * List Queue Items + * @description Gets all queue items (without graphs) + */ + get: operations["list_queue_items"]; + }; + "/api/v1/queue/{queue_id}/processor/resume": { + /** + * Resume + * @description Resumes session processor + */ + put: operations["resume"]; + }; + "/api/v1/queue/{queue_id}/processor/pause": { + /** + * Pause + * @description Pauses session processor + */ + put: operations["pause"]; + }; + "/api/v1/queue/{queue_id}/cancel_by_batch_ids": { + /** + * Cancel By Batch Ids + * @description Immediately cancels all queue items from the given batch ids + */ + put: operations["cancel_by_batch_ids"]; + }; + "/api/v1/queue/{queue_id}/clear": { + /** + * Clear + * @description Clears the queue entirely, immediately canceling the currently-executing session + */ + put: operations["clear"]; + }; + "/api/v1/queue/{queue_id}/prune": { + /** + * Prune + * @description Prunes all completed or errored queue items + */ + put: operations["prune"]; + }; + "/api/v1/queue/{queue_id}/current": { + /** + * Get Current Queue Item + * @description Gets the currently execution queue item + */ + get: operations["get_current_queue_item"]; + }; + "/api/v1/queue/{queue_id}/next": { + /** + * Get Next Queue Item + * @description Gets the next queue item, without executing it + */ + get: operations["get_next_queue_item"]; + }; + "/api/v1/queue/{queue_id}/status": { + /** + * Get Queue Status + * @description Gets the status of the session queue + */ + get: operations["get_queue_status"]; + }; + "/api/v1/queue/{queue_id}/b/{batch_id}/status": { + /** + * Get Batch Status + * @description Gets the status of the session queue + */ + get: operations["get_batch_status"]; + }; + "/api/v1/queue/{queue_id}/i/{item_id}": { + /** + * Get Queue Item + * @description Gets a queue item + */ + get: operations["get_queue_item"]; + }; + "/api/v1/queue/{queue_id}/i/{item_id}/cancel": { + /** + * Cancel Queue Item + * @description Deletes a queue item + */ + put: operations["cancel_queue_item"]; + }; }; export type webhooks = Record; @@ -340,6 +455,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -401,7 +522,92 @@ export type components = { * @description An enumeration. * @enum {string} */ - BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner"; + BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner"; + /** Batch */ + Batch: { + /** + * Batch Id + * @description The ID of the batch + */ + batch_id?: string; + /** + * Data + * @description The batch data collection. + */ + data?: components["schemas"]["BatchDatum"][][]; + /** + * Graph + * @description The graph to initialize the session with + */ + graph: components["schemas"]["Graph"]; + /** + * Runs + * @description Int stating how many times to iterate through all possible batch indices + * @default 1 + */ + runs: number; + }; + /** BatchDatum */ + BatchDatum: { + /** + * Node Path + * @description The node into which this batch data collection will be substituted. + */ + node_path: string; + /** + * Field Name + * @description The field into which this batch data collection will be substituted. + */ + field_name: string; + /** + * Items + * @description The list of items to substitute into the node/field. + */ + items?: (string | number)[]; + }; + /** BatchStatus */ + BatchStatus: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Batch Id + * @description The ID of the batch + */ + batch_id: string; + /** + * Pending + * @description Number of queue items with status 'pending' + */ + pending: number; + /** + * In Progress + * @description Number of queue items with status 'in_progress' + */ + in_progress: number; + /** + * Completed + * @description Number of queue items with status 'complete' + */ + completed: number; + /** + * Failed + * @description Number of queue items with status 'error' + */ + failed: number; + /** + * Canceled + * @description Number of queue items with status 'canceled' + */ + canceled: number; + /** + * Total + * @description Total number of queue items + */ + total: number; + }; /** * Blank Image * @description Creates a blank image and forwards it to the pipeline @@ -423,6 +629,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Width * @description The width of the image @@ -481,6 +693,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents A * @description Latents tensor @@ -584,6 +802,14 @@ export type components = { */ image_names: string[]; }; + /** Body_cancel_by_batch_ids */ + Body_cancel_by_batch_ids: { + /** + * Batch Ids + * @description The list of batch_ids to cancel all queue items for + */ + batch_ids: string[]; + }; /** Body_delete_images_from_list */ Body_delete_images_from_list: { /** @@ -592,6 +818,34 @@ export type components = { */ image_names: string[]; }; + /** Body_enqueue_batch */ + Body_enqueue_batch: { + /** + * Batch + * @description Batch to process + */ + batch: components["schemas"]["Batch"]; + /** + * Prepend + * @description Whether or not to prepend this batch in the queue + * @default false + */ + prepend?: boolean; + }; + /** Body_enqueue_graph */ + Body_enqueue_graph: { + /** + * Graph + * @description The graph to enqueue + */ + graph: components["schemas"]["Graph"]; + /** + * Prepend + * @description Whether or not to prepend this batch in the queue + * @default false + */ + prepend?: boolean; + }; /** Body_import_model */ Body_import_model: { /** @@ -639,6 +893,26 @@ export type components = { */ merge_dest_directory?: string; }; + /** Body_parse_dynamicprompts */ + Body_parse_dynamicprompts: { + /** + * Prompt + * @description The prompt to parse with dynamicprompts + */ + prompt: string; + /** + * Max Prompts + * @description The max number of prompts to generate + * @default 1000 + */ + max_prompts?: number; + /** + * Combinatorial + * @description Whether to use the combinatorial generator + * @default true + */ + combinatorial?: boolean; + }; /** Body_remove_image_from_board */ Body_remove_image_from_board: { /** @@ -700,6 +974,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of boolean values @@ -750,6 +1030,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The boolean value @@ -780,6 +1066,37 @@ export type components = { */ type: "boolean_output"; }; + /** CLIPVisionModelDiffusersConfig */ + CLIPVisionModelDiffusersConfig: { + /** Model Name */ + model_name: string; + base_model: components["schemas"]["BaseModelType"]; + /** + * Model Type + * @enum {string} + */ + model_type: "clip_vision"; + /** Path */ + path: string; + /** Description */ + description?: string; + /** + * Model Format + * @enum {string} + */ + model_format: "diffusers"; + error?: components["schemas"]["ModelError"]; + }; + /** CLIPVisionModelField */ + CLIPVisionModelField: { + /** + * Model Name + * @description Name of the CLIP Vision image encoder model + */ + model_name: string; + /** @description Base model (usually 'Any') */ + base_model: components["schemas"]["BaseModelType"]; + }; /** * CV2 Infill * @description Infills transparent areas of an image using OpenCV Inpainting @@ -801,6 +1118,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -813,6 +1136,17 @@ export type components = { */ type: "infill_cv2"; }; + /** + * CancelByBatchIDsResult + * @description Result of canceling by list of batch ids + */ + CancelByBatchIDsResult: { + /** + * Canceled + * @description Number of queue items canceled + */ + canceled: number; + }; /** * Canny Processor * @description Canny edge detection for ControlNet @@ -834,6 +1168,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -858,6 +1198,17 @@ export type components = { */ high_threshold?: number; }; + /** + * ClearResult + * @description Result of clearing the session queue + */ + ClearResult: { + /** + * Deleted + * @description Number of queue items deleted + */ + deleted: number; + }; /** ClipField */ ClipField: { /** @@ -902,6 +1253,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * CLIP * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count @@ -958,6 +1315,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection Item * @description The item to collect (all inputs must be of the same type) @@ -1033,6 +1396,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to color-correct @@ -1108,6 +1477,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Color * @description The color value @@ -1164,6 +1539,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -1203,6 +1584,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of conditioning tensors @@ -1264,6 +1651,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Conditioning * @description Conditioning tensor @@ -1314,6 +1707,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -1422,6 +1821,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The control image @@ -1553,7 +1958,7 @@ export type components = { /** * App Version * @description The version of InvokeAI used to generate this image - * @default 3.1.1rc1 + * @default 3.1.1 */ app_version?: string; /** @@ -1713,6 +2118,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Vae * @description VAE @@ -1747,6 +2158,27 @@ export type components = { */ type: "create_denoise_mask"; }; + /** + * CursorPaginatedResults[SessionQueueItemDTO] + * @description Cursor-paginated results + */ + CursorPaginatedResults_SessionQueueItemDTO_: { + /** + * Limit + * @description Limit of items to get + */ + limit: number; + /** + * Has More + * @description Whether there are more items available + */ + has_more: boolean; + /** + * Items + * @description Items + */ + items: components["schemas"]["SessionQueueItemDTO"][]; + }; /** * OpenCV Inpaint * @description Simple inpaint using opencv. @@ -1768,6 +2200,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to inpaint @@ -1829,6 +2267,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Noise * @description Noise tensor @@ -1870,6 +2314,11 @@ export type components = { * @description ControlNet(s) to apply */ control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][]; + /** + * IP-Adapter + * @description IP-Adapter to apply + */ + ip_adapter?: components["schemas"]["IPAdapterField"]; /** * Latents * @description Latents tensor @@ -1956,6 +2405,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -1996,6 +2451,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Prompt * @description The prompt to parse with dynamicprompts @@ -2020,6 +2481,13 @@ export type components = { */ type: "dynamic_prompt"; }; + /** DynamicPromptsResponse */ + DynamicPromptsResponse: { + /** Prompts */ + prompts: string[]; + /** Error */ + error?: string; + }; /** * Upscale (RealESRGAN) * @description Upscales an image using RealESRGAN. @@ -2041,6 +2509,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The input image @@ -2086,6 +2560,62 @@ export type components = { */ field: string; }; + /** EnqueueBatchResult */ + EnqueueBatchResult: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Enqueued + * @description The total number of queue items enqueued + */ + enqueued: number; + /** + * Requested + * @description The total number of queue items requested to be enqueued + */ + requested: number; + /** + * Batch + * @description The batch that was enqueued + */ + batch: components["schemas"]["Batch"]; + /** + * Priority + * @description The priority of the enqueued batch + */ + priority: number; + }; + /** EnqueueGraphResult */ + EnqueueGraphResult: { + /** + * Enqueued + * @description The total number of queue items enqueued + */ + enqueued: number; + /** + * Requested + * @description The total number of queue items requested to be enqueued + */ + requested: number; + /** + * Batch + * @description The batch that was enqueued + */ + batch: components["schemas"]["Batch"]; + /** + * Priority + * @description The priority of the enqueued batch + */ + priority: number; + /** + * Queue Item + * @description The queue item that was enqueued + */ + queue_item: components["schemas"]["SessionQueueItemDTO"]; + }; /** * Float Collection Primitive * @description A collection of float primitive values @@ -2107,6 +2637,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of float values @@ -2157,6 +2693,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The float value @@ -2191,6 +2733,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The first value of the range @@ -2237,6 +2785,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Operation * @description The operation to perform @@ -2301,6 +2855,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The value to round @@ -2339,7 +2899,7 @@ export type components = { * @description The nodes in this graph */ nodes?: { - [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; + [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; }; /** * Edges @@ -2382,7 +2942,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]; + [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]; }; /** * Errors @@ -2427,6 +2987,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Graph * @description The graph to run @@ -2479,6 +3045,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -2509,6 +3081,154 @@ export type components = { */ scribble?: boolean; }; + /** IPAdapterField */ + IPAdapterField: { + /** + * Image + * @description The IP-Adapter image prompt. + */ + image: components["schemas"]["ImageField"]; + /** + * Ip Adapter Model + * @description The IP-Adapter model to use. + */ + ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + /** + * Image Encoder Model + * @description The name of the CLIP image encoder model. + */ + image_encoder_model: components["schemas"]["CLIPVisionModelField"]; + /** + * Weight + * @description The weight given to the ControlNet + * @default 1 + */ + weight?: number | number[]; + /** + * Begin Step Percent + * @description When the IP-Adapter is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the IP-Adapter is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + }; + /** + * IP-Adapter + * @description Collects IP-Adapter info to pass to other nodes. + */ + IPAdapterInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * Image + * @description The IP-Adapter image prompt. + */ + image?: components["schemas"]["ImageField"]; + /** + * IP-Adapter Model + * @description The IP-Adapter model. + */ + ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + /** + * Weight + * @description The weight given to the IP-Adapter + * @default 1 + */ + weight?: number | number[]; + /** + * Begin Step Percent + * @description When the IP-Adapter is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the IP-Adapter is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + /** + * Type + * @default ip_adapter + * @enum {string} + */ + type: "ip_adapter"; + }; + /** IPAdapterModelField */ + IPAdapterModelField: { + /** + * Model Name + * @description Name of the IP-Adapter model + */ + model_name: string; + /** @description Base model */ + base_model: components["schemas"]["BaseModelType"]; + }; + /** IPAdapterModelInvokeAIConfig */ + IPAdapterModelInvokeAIConfig: { + /** Model Name */ + model_name: string; + base_model: components["schemas"]["BaseModelType"]; + /** + * Model Type + * @enum {string} + */ + model_type: "ip_adapter"; + /** Path */ + path: string; + /** Description */ + description?: string; + /** + * Model Format + * @enum {string} + */ + model_format: "invokeai"; + error?: components["schemas"]["ModelError"]; + }; + /** + * IPAdapterOutput + * @description Base class for all invocation outputs. + * + * All invocation outputs must use the `@invocation_output` decorator to provide their unique type. + */ + IPAdapterOutput: { + /** + * IP-Adapter + * @description IP-Adapter to apply + */ + ip_adapter: components["schemas"]["IPAdapterField"]; + /** + * Type + * @default ip_adapter_output + * @enum {string} + */ + type: "ip_adapter_output"; + }; /** * Blur Image * @description Blurs an image @@ -2530,6 +3250,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to blur @@ -2588,6 +3314,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to get the channel from @@ -2628,6 +3360,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2679,6 +3417,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2724,6 +3468,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of image values @@ -2774,6 +3524,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to convert @@ -2814,6 +3570,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to crop @@ -2957,6 +3719,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to adjust @@ -2996,6 +3764,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to lerp @@ -3041,6 +3815,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to load @@ -3074,6 +3854,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to lerp @@ -3135,6 +3921,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image1 * @description The first image to multiply @@ -3173,6 +3965,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Metadata * @description Optional core metadata to be written to image @@ -3238,6 +4036,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Base Image * @description The base image @@ -3265,6 +4069,12 @@ export type components = { * @default 0 */ y?: number; + /** + * Crop + * @description Crop to base image dimensions + * @default false + */ + crop?: boolean; /** * Type * @default img_paste @@ -3293,6 +4103,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -3355,6 +4171,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to resize @@ -3412,6 +4234,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to scale @@ -3458,6 +4286,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to encode @@ -3529,6 +4363,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to check @@ -3581,6 +4421,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3625,6 +4471,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3671,6 +4523,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3715,6 +4573,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of integer values @@ -3765,6 +4629,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The integer value @@ -3799,6 +4669,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Operation * @description The operation to perform @@ -3863,6 +4739,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The list of items to iterate over @@ -3919,6 +4801,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to infill @@ -3952,6 +4840,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of latents tensors @@ -4018,6 +4912,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description The latents tensor @@ -4078,6 +4978,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Tiled * @description Processing using overlapping tiles (reduce memory consumption) @@ -4133,6 +5039,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4196,6 +5108,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4241,6 +5159,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4369,6 +5293,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * LoRA * @description LoRA model to load @@ -4455,6 +5385,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description Main model (UNet, VAE, CLIP) to load @@ -4488,6 +5424,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Mask1 * @description The first mask to combine @@ -4526,6 +5468,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to apply the mask to @@ -4579,6 +5527,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to create the mask from @@ -4618,6 +5572,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4669,6 +5629,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Generation Mode * @description The generation mode that output this image @@ -4844,6 +5810,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4889,6 +5861,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -4977,7 +5955,7 @@ export type components = { * @description An enumeration. * @enum {string} */ - ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding"; + ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision"; /** * ModelVariantType * @description An enumeration. @@ -4987,7 +5965,7 @@ export type components = { /** ModelsList */ ModelsList: { /** Models */ - models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[]; + models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[]; }; /** * Multiply Integers @@ -5010,6 +5988,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -5029,6 +6013,24 @@ export type components = { */ type: "mul"; }; + /** NodeFieldValue */ + NodeFieldValue: { + /** + * Node Path + * @description The node into which this batch data item will be substituted. + */ + node_path: string; + /** + * Field Name + * @description The field into which this batch data item will be substituted. + */ + field_name: string; + /** + * Value + * @description The value to substitute into the node/field. + */ + value: string | number; + }; /** * Noise * @description Generates latent noise. @@ -5050,6 +6052,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Seed * @description Seed for random number generation @@ -5128,6 +6136,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5173,6 +6187,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Denoised latents tensor @@ -5251,6 +6271,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Raw prompt text (no parsing) @@ -5337,6 +6363,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Positive Conditioning * @description Positive conditioning tensor @@ -5483,6 +6515,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description ONNX Main model (UNet, VAE, CLIP) to load @@ -5516,6 +6554,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5598,6 +6642,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -5655,6 +6705,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * File Path * @description Path to prompt text file @@ -5689,6 +6745,17 @@ export type components = { */ type: "prompt_from_file"; }; + /** + * PruneResult + * @description Result of pruning the session queue + */ + PruneResult: { + /** + * Deleted + * @description Number of queue items deleted + */ + deleted: number; + }; /** * Random Integer * @description Outputs a single random integer. @@ -5710,6 +6777,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Low * @description The inclusive low value @@ -5750,6 +6823,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; /** * Low * @description The inclusive low value @@ -5801,6 +6880,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The start of the range @@ -5828,7 +6913,7 @@ export type components = { }; /** * Integer Range of Size - * @description Creates a range from start to start + size with step + * @description Creates a range from start to start + (size * step) incremented by step */ RangeOfSizeInvocation: { /** @@ -5847,6 +6932,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Start * @description The start of the range @@ -5901,6 +6992,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Latents tensor @@ -5967,6 +7064,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The float value @@ -6007,6 +7110,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Prompt * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -6087,6 +7196,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * LoRA * @description LoRA model to load @@ -6168,6 +7283,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load @@ -6233,6 +7354,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Style * @description Prompt to be parsed by Compel to create a conditioning tensor @@ -6298,6 +7425,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Model * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load @@ -6337,6 +7470,50 @@ export type components = { */ type: "sdxl_refiner_model_loader_output"; }; + /** + * Save Image + * @description Saves an image. Unlike an image primitive, this invocation stores a copy of the image. + */ + SaveImageInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default false + */ + use_cache?: boolean; + /** + * Image + * @description The image to load + */ + image?: components["schemas"]["ImageField"]; + /** + * Metadata + * @description Optional core metadata to be written to image + */ + metadata?: components["schemas"]["CoreMetadata"]; + /** + * Type + * @default save_image + * @enum {string} + */ + type: "save_image"; + }; /** * Scale Latents * @description Scales latents by a given factor. @@ -6358,6 +7535,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Latents * @description Latents tensor @@ -6409,6 +7592,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Scheduler * @description Scheduler to use during inference @@ -6470,6 +7659,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * UNet * @description UNet (scheduler, LoRAs) @@ -6542,6 +7737,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -6554,6 +7755,223 @@ export type components = { */ type: "segment_anything_processor"; }; + /** SessionProcessorStatus */ + SessionProcessorStatus: { + /** + * Is Started + * @description Whether the session processor is started + */ + is_started: boolean; + /** + * Is Processing + * @description Whether a session is being processed + */ + is_processing: boolean; + }; + /** + * SessionQueueAndProcessorStatus + * @description The overall status of session queue and processor + */ + SessionQueueAndProcessorStatus: { + queue: components["schemas"]["SessionQueueStatus"]; + processor: components["schemas"]["SessionProcessorStatus"]; + }; + /** + * SessionQueueItem + * @description Session queue item without the full graph. Used for serialization. + */ + SessionQueueItem: { + /** + * Item Id + * @description The identifier of the session queue item + */ + item_id: number; + /** + * Status + * @description The status of this queue item + * @default pending + * @enum {string} + */ + status: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** + * Priority + * @description The priority of this queue item + * @default 0 + */ + priority: number; + /** + * Batch Id + * @description The ID of the batch associated with this queue item + */ + batch_id: string; + /** + * Session Id + * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed. + */ + session_id: string; + /** + * Field Values + * @description The field values that were used for this queue item + */ + field_values?: components["schemas"]["NodeFieldValue"][]; + /** + * Queue Id + * @description The id of the queue with which this item is associated + */ + queue_id: string; + /** + * Error + * @description The error message if this queue item errored + */ + error?: string; + /** + * Created At + * @description When this queue item was created + */ + created_at: string; + /** + * Updated At + * @description When this queue item was updated + */ + updated_at: string; + /** + * Started At + * @description When this queue item was started + */ + started_at?: string; + /** + * Completed At + * @description When this queue item was completed + */ + completed_at?: string; + /** + * Session + * @description The fully-populated session to be executed + */ + session: components["schemas"]["GraphExecutionState"]; + }; + /** + * SessionQueueItemDTO + * @description Session queue item without the full graph. Used for serialization. + */ + SessionQueueItemDTO: { + /** + * Item Id + * @description The identifier of the session queue item + */ + item_id: number; + /** + * Status + * @description The status of this queue item + * @default pending + * @enum {string} + */ + status: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** + * Priority + * @description The priority of this queue item + * @default 0 + */ + priority: number; + /** + * Batch Id + * @description The ID of the batch associated with this queue item + */ + batch_id: string; + /** + * Session Id + * @description The ID of the session associated with this queue item. The session doesn't exist in graph_executions until the queue item is executed. + */ + session_id: string; + /** + * Field Values + * @description The field values that were used for this queue item + */ + field_values?: components["schemas"]["NodeFieldValue"][]; + /** + * Queue Id + * @description The id of the queue with which this item is associated + */ + queue_id: string; + /** + * Error + * @description The error message if this queue item errored + */ + error?: string; + /** + * Created At + * @description When this queue item was created + */ + created_at: string; + /** + * Updated At + * @description When this queue item was updated + */ + updated_at: string; + /** + * Started At + * @description When this queue item was started + */ + started_at?: string; + /** + * Completed At + * @description When this queue item was completed + */ + completed_at?: string; + }; + /** SessionQueueStatus */ + SessionQueueStatus: { + /** + * Queue Id + * @description The ID of the queue + */ + queue_id: string; + /** + * Item Id + * @description The current queue item id + */ + item_id?: number; + /** + * Batch Id + * @description The current queue item's batch id + */ + batch_id?: string; + /** + * Session Id + * @description The current queue item's session id + */ + session_id?: string; + /** + * Pending + * @description Number of queue items with status 'pending' + */ + pending: number; + /** + * In Progress + * @description Number of queue items with status 'in_progress' + */ + in_progress: number; + /** + * Completed + * @description Number of queue items with status 'complete' + */ + completed: number; + /** + * Failed + * @description Number of queue items with status 'error' + */ + failed: number; + /** + * Canceled + * @description Number of queue items with status 'canceled' + */ + canceled: number; + /** + * Total + * @description Total number of queue items + */ + total: number; + }; /** * Show Image * @description Displays a provided image using the OS image viewer, and passes it forward in the pipeline. @@ -6575,6 +7993,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to show @@ -6758,6 +8182,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Easing * @description The easing function to use @@ -6824,6 +8254,28 @@ export type components = { */ type: "step_param_easing"; }; + /** + * String2Output + * @description Base class for invocations that output two strings + */ + String2Output: { + /** + * String 1 + * @description string 1 + */ + string_1: string; + /** + * String 2 + * @description string 2 + */ + string_2: string; + /** + * Type + * @default string_2_output + * @enum {string} + */ + type: "string_2_output"; + }; /** * String Collection Primitive * @description A collection of string primitive values @@ -6845,6 +8297,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Collection * @description The collection of string values @@ -6895,6 +8353,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Value * @description The string value @@ -6908,6 +8372,104 @@ export type components = { */ type: "string"; }; + /** + * String Join + * @description Joins string left to string right + */ + StringJoinInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String Left + * @description String Left + * @default + */ + string_left?: string; + /** + * String Right + * @description String Right + * @default + */ + string_right?: string; + /** + * Type + * @default string_join + * @enum {string} + */ + type: "string_join"; + }; + /** + * String Join Three + * @description Joins string left to string middle to string right + */ + StringJoinThreeInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String Left + * @description String Left + * @default + */ + string_left?: string; + /** + * String Middle + * @description String Middle + * @default + */ + string_middle?: string; + /** + * String Right + * @description String Right + * @default + */ + string_right?: string; + /** + * Type + * @default string_join_three + * @enum {string} + */ + type: "string_join_three"; + }; /** * StringOutput * @description Base class for nodes that output a single string @@ -6925,6 +8487,172 @@ export type components = { */ type: "string_output"; }; + /** + * StringPosNegOutput + * @description Base class for invocations that output a positive and negative string + */ + StringPosNegOutput: { + /** + * Positive String + * @description Positive string + */ + positive_string: string; + /** + * Negative String + * @description Negative string + */ + negative_string: string; + /** + * Type + * @default string_pos_neg_output + * @enum {string} + */ + type: "string_pos_neg_output"; + }; + /** + * String Replace + * @description Replaces the search string with the replace string + */ + StringReplaceInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to work on + * @default + */ + string?: string; + /** + * Search String + * @description String to search for + * @default + */ + search_string?: string; + /** + * Replace String + * @description String to replace the search + * @default + */ + replace_string?: string; + /** + * Use Regex + * @description Use search string as a regex expression (non regex is case insensitive) + * @default false + */ + use_regex?: boolean; + /** + * Type + * @default string_replace + * @enum {string} + */ + type: "string_replace"; + }; + /** + * String Split + * @description Splits string into two strings, based on the first occurance of the delimiter. The delimiter will be removed from the string + */ + StringSplitInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to split + * @default + */ + string?: string; + /** + * Delimiter + * @description Delimiter to spilt with. blank will split on the first whitespace + * @default + */ + delimiter?: string; + /** + * Type + * @default string_split + * @enum {string} + */ + type: "string_split"; + }; + /** + * String Split Negative + * @description Splits string into two strings, inside [] goes into negative string everthing else goes into positive string. Each [ and ] character is replaced with a space + */ + StringSplitNegInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Workflow + * @description The workflow to save with the image + */ + workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** + * String + * @description String to split + * @default + */ + string?: string; + /** + * Type + * @default string_split_neg + * @enum {string} + */ + type: "string_split_neg"; + }; /** * SubModelType * @description An enumeration. @@ -6952,6 +8680,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * A * @description The first number @@ -7010,6 +8744,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -7111,6 +8851,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * VAE * @description VAE model to load @@ -7193,6 +8939,12 @@ export type components = { * @description The workflow to save with the image */ workflow?: string; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; /** * Image * @description The image to process @@ -7247,7 +8999,7 @@ export type components = { * If a field should be provided a data type that does not exactly match the python type of the field, use this to provide the type that should be used instead. See the node development docs for detail on adding a new field type, which involves client-side changes. * @enum {string} */ - UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField"; + UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField"; /** * UIComponent * @description The type of UI component to use for a field, used to override the default components, which are inferred from the field type. @@ -7291,17 +9043,11 @@ export type components = { ui_order?: number; }; /** - * StableDiffusion1ModelFormat + * IPAdapterModelFormat * @description An enumeration. * @enum {string} */ - StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; - /** - * StableDiffusionOnnxModelFormat - * @description An enumeration. - * @enum {string} - */ - StableDiffusionOnnxModelFormat: "olive" | "onnx"; + IPAdapterModelFormat: "invokeai"; /** * ControlNetModelFormat * @description An enumeration. @@ -7309,17 +9055,35 @@ export type components = { */ ControlNetModelFormat: "checkpoint" | "diffusers"; /** - * StableDiffusionXLModelFormat + * StableDiffusionOnnxModelFormat * @description An enumeration. * @enum {string} */ - StableDiffusionXLModelFormat: "checkpoint" | "diffusers"; + StableDiffusionOnnxModelFormat: "olive" | "onnx"; /** * StableDiffusion2ModelFormat * @description An enumeration. * @enum {string} */ StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; + /** + * StableDiffusion1ModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; + /** + * CLIPVisionModelFormat + * @description An enumeration. + * @enum {string} + */ + CLIPVisionModelFormat: "diffusers"; + /** + * StableDiffusionXLModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusionXLModelFormat: "checkpoint" | "diffusers"; }; responses: never; parameters: never; @@ -7336,6 +9100,7 @@ export type operations = { /** * List Sessions + * @deprecated * @description Gets a list of sessions, optionally searching */ list_sessions: { @@ -7366,9 +9131,16 @@ export type operations = { }; /** * Create Session + * @deprecated * @description Creates a new session, optionally initializing it with an invocation graph */ create_session: { + parameters: { + query?: { + /** @description The id of the queue to associate the session with */ + queue_id?: string; + }; + }; requestBody?: { content: { "application/json": components["schemas"]["Graph"]; @@ -7395,6 +9167,7 @@ export type operations = { }; /** * Get Session + * @deprecated * @description Gets a session */ get_session: { @@ -7425,6 +9198,7 @@ export type operations = { }; /** * Add Node + * @deprecated * @description Adds a node to the graph */ add_node: { @@ -7436,7 +9210,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; + "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; }; }; responses: { @@ -7464,6 +9238,7 @@ export type operations = { }; /** * Update Node + * @deprecated * @description Updates a node in the graph and removes all linked edges */ update_node: { @@ -7477,7 +9252,7 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; + "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | 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"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | 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"]; }; }; responses: { @@ -7505,6 +9280,7 @@ export type operations = { }; /** * Delete Node + * @deprecated * @description Deletes a node in the graph and removes all linked edges */ delete_node: { @@ -7541,6 +9317,7 @@ export type operations = { }; /** * Add Edge + * @deprecated * @description Adds an edge to the graph */ add_edge: { @@ -7580,6 +9357,7 @@ export type operations = { }; /** * Delete Edge + * @deprecated * @description Deletes an edge from the graph */ delete_edge: { @@ -7622,11 +9400,14 @@ export type operations = { }; /** * Invoke Session + * @deprecated * @description Invokes a session */ invoke_session: { parameters: { - query?: { + query: { + /** @description The id of the queue to associate the session with */ + queue_id: string; /** @description Whether or not to invoke all remaining invocations */ all?: boolean; }; @@ -7664,6 +9445,7 @@ export type operations = { }; /** * Cancel Session Invoke + * @deprecated * @description Invokes a session */ cancel_session_invoke: { @@ -7692,6 +9474,31 @@ export type operations = { }; }; }; + /** + * Parse Dynamicprompts + * @description Creates a batch process + */ + parse_dynamicprompts: { + requestBody: { + content: { + "application/json": components["schemas"]["Body_parse_dynamicprompts"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["DynamicPromptsResponse"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; /** * List Models * @description Gets a list of models @@ -7769,14 +9576,14 @@ export type operations = { }; requestBody: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; responses: { /** @description The model was updated successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -7813,7 +9620,7 @@ export type operations = { /** @description The model imported successfully */ 201: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description The model could not be found */ @@ -7847,14 +9654,14 @@ export type operations = { add_model: { requestBody: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; responses: { /** @description The model added successfully */ 201: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description The model could not be found */ @@ -7900,7 +9707,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Bad request */ @@ -7995,7 +9802,7 @@ export type operations = { /** @description Model converted successfully */ 200: { content: { - "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; + "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"]; }; }; /** @description Incompatible models */ @@ -8698,4 +10505,411 @@ export type operations = { }; }; }; + /** + * Enqueue Graph + * @description Enqueues a graph for single execution. + */ + enqueue_graph: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_enqueue_graph"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": unknown; + }; + }; + /** @description Created */ + 201: { + content: { + "application/json": components["schemas"]["EnqueueGraphResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Enqueue Batch + * @description Processes a batch and enqueues the output graphs for execution. + */ + enqueue_batch: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_enqueue_batch"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": unknown; + }; + }; + /** @description Created */ + 201: { + content: { + "application/json": components["schemas"]["EnqueueBatchResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * List Queue Items + * @description Gets all queue items (without graphs) + */ + list_queue_items: { + parameters: { + query?: { + /** @description The number of items to fetch */ + limit?: number; + /** @description The status of items to fetch */ + status?: "pending" | "in_progress" | "completed" | "failed" | "canceled"; + /** @description The pagination cursor */ + cursor?: number; + /** @description The pagination cursor priority */ + priority?: number; + }; + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["CursorPaginatedResults_SessionQueueItemDTO_"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Resume + * @description Resumes session processor + */ + resume: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Pause + * @description Pauses session processor + */ + pause: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Cancel By Batch Ids + * @description Immediately cancels all queue items from the given batch ids + */ + cancel_by_batch_ids: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + requestBody: { + content: { + "application/json": components["schemas"]["Body_cancel_by_batch_ids"]; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["CancelByBatchIDsResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Clear + * @description Clears the queue entirely, immediately canceling the currently-executing session + */ + clear: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["ClearResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Prune + * @description Prunes all completed or errored queue items + */ + prune: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["PruneResult"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Current Queue Item + * @description Gets the currently execution queue item + */ + get_current_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Next Queue Item + * @description Gets the next queue item, without executing it + */ + get_next_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Queue Status + * @description Gets the status of the session queue + */ + get_queue_status: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueAndProcessorStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Batch Status + * @description Gets the status of the session queue + */ + get_batch_status: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The batch to get the status of */ + batch_id: string; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["BatchStatus"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Get Queue Item + * @description Gets a queue item + */ + get_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The queue item to get */ + item_id: number; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; + /** + * Cancel Queue Item + * @description Deletes a queue item + */ + cancel_queue_item: { + parameters: { + path: { + /** @description The queue id to perform this operation on */ + queue_id: string; + /** @description The queue item to cancel */ + item_id: number; + }; + }; + responses: { + /** @description Successful Response */ + 200: { + content: { + "application/json": components["schemas"]["SessionQueueItem"]; + }; + }; + /** @description Validation Error */ + 422: { + content: { + "application/json": components["schemas"]["HTTPValidationError"]; + }; + }; + }; + }; }; diff --git a/invokeai/frontend/web/src/services/api/thunks/session.ts b/invokeai/frontend/web/src/services/api/thunks/session.ts index c3016be25f..2404329fac 100644 --- a/invokeai/frontend/web/src/services/api/thunks/session.ts +++ b/invokeai/frontend/web/src/services/api/thunks/session.ts @@ -1,4 +1,5 @@ import { createAsyncThunk, isAnyOf } from '@reduxjs/toolkit'; +import { $queueId } from 'features/queue/store/nanoStores'; import { isObject } from 'lodash-es'; import { $client } from 'services/api/client'; import { paths } from 'services/api/schema'; @@ -33,6 +34,7 @@ export const sessionCreated = createAsyncThunk< const { POST } = $client.get(); const { data, error, response } = await POST('/api/v1/sessions/', { body: graph, + params: { query: { queue_id: $queueId.get() } }, }); if (error) { @@ -76,7 +78,10 @@ export const sessionInvoked = createAsyncThunk< const { error, response } = await PUT( '/api/v1/sessions/{session_id}/invoke', { - params: { query: { all: true }, path: { session_id } }, + params: { + query: { queue_id: $queueId.get(), all: true }, + path: { session_id }, + }, } ); diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts index bae60ff701..669d357527 100644 --- a/invokeai/frontend/web/src/services/api/types.ts +++ b/invokeai/frontend/web/src/services/api/types.ts @@ -22,6 +22,12 @@ export type UpdateBoardArg = changes: paths['/api/v1/boards/{board_id}']['patch']['requestBody']['content']['application/json']; }; +export type BatchConfig = + paths['/api/v1/queue/{queue_id}/enqueue_batch']['post']['requestBody']['content']['application/json']; + +export type EnqueueBatchResult = components['schemas']['EnqueueBatchResult']; +export type EnqueueGraphResult = components['schemas']['EnqueueGraphResult']; + /** * This is an unsafe type; the object inside is not guaranteed to be valid. */ @@ -60,8 +66,10 @@ export type OnnxModelField = s['OnnxModelField']; export type VAEModelField = s['VAEModelField']; export type LoRAModelField = s['LoRAModelField']; export type ControlNetModelField = s['ControlNetModelField']; +export type IPAdapterModelField = s['IPAdapterModelField']; export type ModelsList = s['ModelsList']; export type ControlField = s['ControlField']; +export type IPAdapterField = s['IPAdapterField']; // Model Configs export type LoRAModelConfig = s['LoRAModelConfig']; @@ -73,6 +81,8 @@ export type ControlNetModelDiffusersConfig = export type ControlNetModelConfig = | ControlNetModelCheckpointConfig | ControlNetModelDiffusersConfig; +export type IPAdapterModelInvokeAIConfig = s['IPAdapterModelInvokeAIConfig']; +export type IPAdapterModelConfig = IPAdapterModelInvokeAIConfig; export type TextualInversionModelConfig = s['TextualInversionModelConfig']; export type DiffusersModelConfig = | s['StableDiffusion1ModelDiffusersConfig'] @@ -88,6 +98,7 @@ export type AnyModelConfig = | LoRAModelConfig | VaeModelConfig | ControlNetModelConfig + | IPAdapterModelConfig | TextualInversionModelConfig | MainModelConfig | OnnxModelConfig; @@ -99,6 +110,9 @@ export type ImportModelConfig = s['Body_import_model']; export type Graph = s['Graph']; export type Edge = s['Edge']; export type GraphExecutionState = s['GraphExecutionState']; +export type Batch = s['Batch']; +export type SessionQueueItemDTO = s['SessionQueueItemDTO']; +export type SessionQueueItem = s['SessionQueueItem']; // General nodes export type CollectInvocation = s['CollectInvocation']; @@ -132,9 +146,11 @@ export type DivideInvocation = s['DivideInvocation']; export type ImageNSFWBlurInvocation = s['ImageNSFWBlurInvocation']; export type ImageWatermarkInvocation = s['ImageWatermarkInvocation']; export type SeamlessModeInvocation = s['SeamlessModeInvocation']; +export type SaveImageInvocation = s['SaveImageInvocation']; // ControlNet Nodes export type ControlNetInvocation = s['ControlNetInvocation']; +export type IPAdapterInvocation = s['IPAdapterInvocation']; export type CannyImageProcessorInvocation = s['CannyImageProcessorInvocation']; export type ContentShuffleImageProcessorInvocation = s['ContentShuffleImageProcessorInvocation']; @@ -173,6 +189,10 @@ export type ControlNetAction = { controlNetId: string; }; +export type IPAdapterAction = { + type: 'SET_IP_ADAPTER_IMAGE'; +}; + export type InitialImageAction = { type: 'SET_INITIAL_IMAGE'; }; @@ -198,6 +218,7 @@ export type AddToBatchAction = { export type PostUploadAction = | ControlNetAction + | IPAdapterAction | InitialImageAction | NodesAction | CanvasInitialImageAction diff --git a/invokeai/frontend/web/src/services/events/actions.ts b/invokeai/frontend/web/src/services/events/actions.ts index 35ebb725cb..d9f838bf70 100644 --- a/invokeai/frontend/web/src/services/events/actions.ts +++ b/invokeai/frontend/web/src/services/events/actions.ts @@ -8,6 +8,7 @@ import { InvocationStartedEvent, ModelLoadCompletedEvent, ModelLoadStartedEvent, + QueueItemStatusChangedEvent, SessionRetrievalErrorEvent, } from 'services/events/types'; @@ -41,35 +42,35 @@ export const appSocketDisconnected = createAction( ); /** - * Socket.IO Subscribed + * Socket.IO Subscribed Session * * Do not use. Only for use in middleware. */ -export const socketSubscribed = createAction<{ +export const socketSubscribedSession = createAction<{ sessionId: string; -}>('socket/socketSubscribed'); +}>('socket/socketSubscribedSession'); /** - * App-level Socket.IO Subscribed + * App-level Socket.IO Subscribed Session */ -export const appSocketSubscribed = createAction<{ +export const appSocketSubscribedSession = createAction<{ sessionId: string; -}>('socket/appSocketSubscribed'); +}>('socket/appSocketSubscribedSession'); /** - * Socket.IO Unsubscribed + * Socket.IO Unsubscribed Session * * Do not use. Only for use in middleware. */ -export const socketUnsubscribed = createAction<{ sessionId: string }>( - 'socket/socketUnsubscribed' +export const socketUnsubscribedSession = createAction<{ sessionId: string }>( + 'socket/socketUnsubscribedSession' ); /** - * App-level Socket.IO Unsubscribed + * App-level Socket.IO Unsubscribed Session */ -export const appSocketUnsubscribed = createAction<{ sessionId: string }>( - 'socket/appSocketUnsubscribed' +export const appSocketUnsubscribedSession = createAction<{ sessionId: string }>( + 'socket/appSocketUnsubscribedSession' ); /** @@ -215,3 +216,19 @@ export const socketInvocationRetrievalError = createAction<{ export const appSocketInvocationRetrievalError = createAction<{ data: InvocationRetrievalErrorEvent; }>('socket/appSocketInvocationRetrievalError'); + +/** + * Socket.IO Quueue Item Status Changed + * + * Do not use. Only for use in middleware. + */ +export const socketQueueItemStatusChanged = createAction<{ + data: QueueItemStatusChangedEvent; +}>('socket/socketQueueItemStatusChanged'); + +/** + * App-level Quueue Item Status Changed + */ +export const appSocketQueueItemStatusChanged = createAction<{ + data: QueueItemStatusChangedEvent; +}>('socket/appSocketQueueItemStatusChanged'); diff --git a/invokeai/frontend/web/src/services/events/middleware.ts b/invokeai/frontend/web/src/services/events/middleware.ts index 56992be672..ce35cf141e 100644 --- a/invokeai/frontend/web/src/services/events/middleware.ts +++ b/invokeai/frontend/web/src/services/events/middleware.ts @@ -1,14 +1,12 @@ import { Middleware, MiddlewareAPI } from '@reduxjs/toolkit'; import { AppThunkDispatch, RootState } from 'app/store/store'; import { $authToken, $baseUrl } from 'services/api/client'; -import { sessionCreated } from 'services/api/thunks/session'; import { ClientToServerEvents, ServerToClientEvents, } from 'services/events/types'; import { setEventListeners } from 'services/events/util/setEventListeners'; import { Socket, io } from 'socket.io-client'; -import { socketSubscribed, socketUnsubscribed } from './actions'; export const socketMiddleware = () => { let areListenersSet = false; @@ -48,8 +46,6 @@ export const socketMiddleware = () => { (storeApi: MiddlewareAPI) => (next) => (action) => { - const { dispatch, getState } = storeApi; - // Set listeners for `connect` and `disconnect` events once // Must happen in middleware to get access to `dispatch` if (!areListenersSet) { @@ -60,31 +56,6 @@ export const socketMiddleware = () => { socket.connect(); } - if (sessionCreated.fulfilled.match(action)) { - const sessionId = action.payload.id; - const oldSessionId = getState().system.sessionId; - - if (oldSessionId) { - socket.emit('unsubscribe', { - session: oldSessionId, - }); - - dispatch( - socketUnsubscribed({ - sessionId: oldSessionId, - }) - ); - } - - socket.emit('subscribe', { session: sessionId }); - - dispatch( - socketSubscribed({ - sessionId: sessionId, - }) - ); - } - next(action); }; diff --git a/invokeai/frontend/web/src/services/events/types.ts b/invokeai/frontend/web/src/services/events/types.ts index 37f5f24eac..47a3d83eba 100644 --- a/invokeai/frontend/web/src/services/events/types.ts +++ b/invokeai/frontend/web/src/services/events/types.ts @@ -1,3 +1,4 @@ +import { components } from 'services/api/schema'; import { O } from 'ts-toolbelt'; import { BaseModelType, @@ -32,6 +33,9 @@ export type BaseNode = { }; export type ModelLoadStartedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; model_name: string; base_model: BaseModelType; @@ -40,6 +44,9 @@ export type ModelLoadStartedEvent = { }; export type ModelLoadCompletedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; model_name: string; base_model: BaseModelType; @@ -56,11 +63,15 @@ export type ModelLoadCompletedEvent = { * @example socket.on('generator_progress', (data: GeneratorProgressEvent) => { ... } */ export type GeneratorProgressEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; - node: BaseNode; + node_id: string; source_node_id: string; progress_image?: ProgressImage; step: number; + order: number; total_steps: number; }; @@ -72,6 +83,9 @@ export type GeneratorProgressEvent = { * @example socket.on('invocation_complete', (data: InvocationCompleteEvent) => { ... } */ export type InvocationCompleteEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -84,6 +98,9 @@ export type InvocationCompleteEvent = { * @example socket.on('invocation_error', (data: InvocationErrorEvent) => { ... } */ export type InvocationErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -97,6 +114,9 @@ export type InvocationErrorEvent = { * @example socket.on('invocation_started', (data: InvocationStartedEvent) => { ... } */ export type InvocationStartedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node: BaseNode; source_node_id: string; @@ -108,6 +128,9 @@ export type InvocationStartedEvent = { * @example socket.on('graph_execution_state_complete', (data: GraphExecutionStateCompleteEvent) => { ... } */ export type GraphExecutionStateCompleteEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; }; @@ -117,6 +140,9 @@ export type GraphExecutionStateCompleteEvent = { * @example socket.on('session_retrieval_error', (data: SessionRetrievalErrorEvent) => { ... } */ export type SessionRetrievalErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; error_type: string; error: string; @@ -128,18 +154,40 @@ export type SessionRetrievalErrorEvent = { * @example socket.on('invocation_retrieval_error', (data: InvocationRetrievalErrorEvent) => { ... } */ export type InvocationRetrievalErrorEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; graph_execution_state_id: string; node_id: string; error_type: string; error: string; }; -export type ClientEmitSubscribe = { - session: string; +/** + * A `queue_item_status_changed` socket.io event. + * + * @example socket.on('queue_item_status_changed', (data: QueueItemStatusChangedEvent) => { ... } + */ +export type QueueItemStatusChangedEvent = { + queue_id: string; + queue_item_id: number; + queue_batch_id: string; + session_id: string; + graph_execution_state_id: string; + status: components['schemas']['SessionQueueItemDTO']['status']; + error: string | undefined; + created_at: string; + updated_at: string; + started_at: string | undefined; + completed_at: string | undefined; }; -export type ClientEmitUnsubscribe = { - session: string; +export type ClientEmitSubscribeQueue = { + queue_id: string; +}; + +export type ClientEmitUnsubscribeQueue = { + queue_id: string; }; export type ServerToClientEvents = { @@ -154,11 +202,12 @@ export type ServerToClientEvents = { model_load_completed: (payload: ModelLoadCompletedEvent) => void; session_retrieval_error: (payload: SessionRetrievalErrorEvent) => void; invocation_retrieval_error: (payload: InvocationRetrievalErrorEvent) => void; + queue_item_status_changed: (payload: QueueItemStatusChangedEvent) => void; }; export type ClientToServerEvents = { connect: () => void; disconnect: () => void; - subscribe: (payload: ClientEmitSubscribe) => void; - unsubscribe: (payload: ClientEmitUnsubscribe) => void; + subscribe_queue: (payload: ClientEmitSubscribeQueue) => void; + unsubscribe_queue: (payload: ClientEmitUnsubscribeQueue) => void; }; diff --git a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts index 9ebb7ffbff..0f4d21d2e1 100644 --- a/invokeai/frontend/web/src/services/events/util/setEventListeners.ts +++ b/invokeai/frontend/web/src/services/events/util/setEventListeners.ts @@ -1,6 +1,7 @@ import { MiddlewareAPI } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; import { AppDispatch, RootState } from 'app/store/store'; +import { $queueId } from 'features/queue/store/nanoStores'; import { addToast } from 'features/system/store/systemSlice'; import { makeToast } from 'features/system/util/makeToast'; import { Socket } from 'socket.io-client'; @@ -15,8 +16,8 @@ import { socketInvocationStarted, socketModelLoadCompleted, socketModelLoadStarted, + socketQueueItemStatusChanged, socketSessionRetrievalError, - socketSubscribed, } from '../actions'; import { ClientToServerEvents, ServerToClientEvents } from '../types'; @@ -27,7 +28,7 @@ type SetEventListenersArg = { export const setEventListeners = (arg: SetEventListenersArg) => { const { socket, storeApi } = arg; - const { dispatch, getState } = storeApi; + const { dispatch } = storeApi; /** * Connect @@ -37,17 +38,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => { log.debug('Connected'); dispatch(socketConnected()); - - const { sessionId } = getState().system; - - if (sessionId) { - socket.emit('subscribe', { session: sessionId }); - dispatch( - socketSubscribed({ - sessionId, - }) - ); - } + const queue_id = $queueId.get(); + socket.emit('subscribe_queue', { queue_id }); }); socket.on('connect_error', (error) => { @@ -162,4 +154,8 @@ export const setEventListeners = (arg: SetEventListenersArg) => { }) ); }); + + socket.on('queue_item_status_changed', (data) => { + dispatch(socketQueueItemStatusChanged({ data })); + }); }; diff --git a/invokeai/frontend/web/src/theme/colors/colors.ts b/invokeai/frontend/web/src/theme/colors/colors.ts index 99260ee071..6f1f1c2cc7 100644 --- a/invokeai/frontend/web/src/theme/colors/colors.ts +++ b/invokeai/frontend/web/src/theme/colors/colors.ts @@ -3,15 +3,11 @@ import { generateColorPalette } from 'theme/util/generateColorPalette'; const BASE = { H: 220, S: 16 }; const ACCENT = { H: 250, S: 42 }; -// const ACCENT = { H: 250, S: 52 }; const WORKING = { H: 47, S: 42 }; -// const WORKING = { H: 47, S: 50 }; +const GOLD = { H: 40, S: 70 }; const WARNING = { H: 28, S: 42 }; -// const WARNING = { H: 28, S: 50 }; const OK = { H: 113, S: 42 }; -// const OK = { H: 113, S: 50 }; const ERROR = { H: 0, S: 42 }; -// const ERROR = { H: 0, S: 50 }; export const InvokeAIColors: InvokeAIThemeColors = { base: generateColorPalette(BASE.H, BASE.S), @@ -20,6 +16,8 @@ export const InvokeAIColors: InvokeAIThemeColors = { accentAlpha: generateColorPalette(ACCENT.H, ACCENT.S, true), working: generateColorPalette(WORKING.H, WORKING.S), workingAlpha: generateColorPalette(WORKING.H, WORKING.S, true), + gold: generateColorPalette(GOLD.H, GOLD.S), + goldAlpha: generateColorPalette(GOLD.H, GOLD.S, true), warning: generateColorPalette(WARNING.H, WARNING.S), warningAlpha: generateColorPalette(WARNING.H, WARNING.S, true), ok: generateColorPalette(OK.H, OK.S), diff --git a/invokeai/frontend/web/src/theme/components/button.ts b/invokeai/frontend/web/src/theme/components/button.ts index 056f3c145d..fc6cde9cd0 100644 --- a/invokeai/frontend/web/src/theme/components/button.ts +++ b/invokeai/frontend/web/src/theme/components/button.ts @@ -10,7 +10,7 @@ const invokeAI = defineStyle((props) => { bg: mode('base.150', 'base.700')(props), color: mode('base.300', 'base.500')(props), svg: { - fill: mode('base.500', 'base.500')(props), + fill: mode('base.300', 'base.500')(props), }, opacity: 1, }; @@ -45,25 +45,14 @@ const invokeAI = defineStyle((props) => { } const _disabled = { - bg: mode(`${c}.250`, `${c}.700`)(props), - color: mode(`${c}.50`, `${c}.500`)(props), + bg: mode(`${c}.400`, `${c}.700`)(props), + color: mode(`${c}.600`, `${c}.500`)(props), svg: { - fill: mode(`${c}.50`, `${c}.500`)(props), - filter: 'unset', - }, - opacity: 1, - filter: mode(undefined, 'saturate(65%)')(props), - }; - - const data_progress = { - // bg: 'none', - color: mode(`${c}.50`, `${c}.500`)(props), - svg: { - fill: mode(`${c}.50`, `${c}.500`)(props), + fill: mode(`${c}.600`, `${c}.500`)(props), filter: 'unset', }, opacity: 0.7, - filter: mode(undefined, 'saturate(65%)')(props), + filter: 'saturate(65%)', }; return { @@ -82,7 +71,6 @@ const invokeAI = defineStyle((props) => { }, _disabled, }, - '&[data-progress="true"]': { ...data_progress, _hover: data_progress }, }; }); @@ -92,6 +80,13 @@ const invokeAIOutline = defineStyle((props) => { return { border: '1px solid', borderColor: c === 'gray' ? borderColor : 'currentColor', + _hover: { + bg: mode(`${c}.500`, `${c}.500`)(props), + color: mode('white', `base.50`)(props), + svg: { + fill: mode('white', `base.50`)(props), + }, + }, '.chakra-button__group[data-attached][data-orientation=horizontal] > &:not(:last-of-type)': { marginEnd: '-1px', diff --git a/invokeai/frontend/web/src/theme/components/popover.ts b/invokeai/frontend/web/src/theme/components/popover.ts index a28e2bfbc4..55f69e9036 100644 --- a/invokeai/frontend/web/src/theme/components/popover.ts +++ b/invokeai/frontend/web/src/theme/components/popover.ts @@ -29,13 +29,34 @@ const invokeAIContent = defineStyle((props) => { }; }); +const informationalContent = defineStyle((props) => { + return { + [$arrowBg.variable]: mode('colors.base.100', 'colors.base.600')(props), + [$popperBg.variable]: mode('colors.base.100', 'colors.base.600')(props), + [$arrowShadowColor.variable]: mode( + 'colors.base.400', + 'colors.base.400' + )(props), + p: 0, + bg: mode('base.100', 'base.600')(props), + border: 'none', + shadow: 'dark-lg', + }; +}); + const invokeAI = definePartsStyle((props) => ({ content: invokeAIContent(props), })); +const informational = definePartsStyle((props) => ({ + content: informationalContent(props), + body: { padding: 0 }, +})); + export const popoverTheme = defineMultiStyleConfig({ variants: { invokeAI, + informational, }, defaultProps: { variant: 'invokeAI', diff --git a/invokeai/frontend/web/src/theme/components/table.ts b/invokeai/frontend/web/src/theme/components/table.ts new file mode 100644 index 0000000000..e69de29bb2 diff --git a/invokeai/frontend/web/src/theme/themeTypes.d.ts b/invokeai/frontend/web/src/theme/themeTypes.d.ts index c85ebd33ce..f2fd1ea85d 100644 --- a/invokeai/frontend/web/src/theme/themeTypes.d.ts +++ b/invokeai/frontend/web/src/theme/themeTypes.d.ts @@ -3,6 +3,8 @@ export type InvokeAIThemeColors = { baseAlpha: Partial; accent: Partial; accentAlpha: Partial; + gold: Partial; + goldAlpha: Partial; working: Partial; workingAlpha: Partial; warning: Partial; diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py index 603e0369be..e43075bd32 100644 --- a/tests/nodes/test_graph_execution_state.py +++ b/tests/nodes/test_graph_execution_state.py @@ -1,3 +1,6 @@ +import logging +import threading + import pytest # This import must happen before other invoke imports or test in other files(!!) break @@ -7,15 +10,19 @@ from .test_nodes import ( # isort: split TestEventService, TextToImageTestInvocation, ) +import sqlite3 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext from invokeai.app.invocations.collections import RangeInvocation from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation +from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig from invokeai.app.services.graph import CollectInvocation, Graph, GraphExecutionState, IterateInvocation, LibraryGraph +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache from invokeai.app.services.invocation_queue import MemoryInvocationQueue from invokeai.app.services.invocation_services import InvocationServices from invokeai.app.services.invocation_stats import InvocationStatsService from invokeai.app.services.processor import DefaultInvocationProcessor +from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory from .test_invoker import create_edge @@ -35,24 +42,29 @@ def simple_graph(): # the test invocations. @pytest.fixture def mock_services() -> InvocationServices: + lock = threading.Lock() # NOTE: none of these are actually called by the test invocations + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=sqlite_memory, table_name="graph_executions" + conn=db_conn, table_name="graph_executions", lock=lock ) return InvocationServices( model_manager=None, # type: ignore events=TestEventService(), - logger=None, # type: ignore + logger=logging, # type: ignore images=None, # type: ignore latents=None, # type: ignore boards=None, # type: ignore board_images=None, # type: ignore queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock), graph_execution_manager=graph_execution_manager, performance_statistics=InvocationStatsService(graph_execution_manager), processor=DefaultInvocationProcessor(), - configuration=None, # type: ignore + configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore + session_queue=None, # type: ignore + session_processor=None, # type: ignore + invocation_cache=MemoryInvocationCache(), # type: ignore ) @@ -62,7 +74,15 @@ def invoke_next(g: GraphExecutionState, services: InvocationServices) -> tuple[B return (None, None) print(f"invoking {n.id}: {type(n)}") - o = n.invoke(InvocationContext(services, "1")) + o = n.invoke( + InvocationContext( + queue_batch_id="1", + queue_item_id=1, + queue_id=DEFAULT_QUEUE_ID, + services=services, + graph_execution_state_id="1", + ) + ) g.complete(n.id, o) return (n, o) diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py index aa0e29598c..7c636c3eca 100644 --- a/tests/nodes/test_invoker.py +++ b/tests/nodes/test_invoker.py @@ -1,14 +1,13 @@ +import logging +import sqlite3 +import threading + import pytest -from invokeai.app.services.graph import Graph, GraphExecutionState, LibraryGraph -from invokeai.app.services.invocation_queue import MemoryInvocationQueue -from invokeai.app.services.invocation_services import InvocationServices -from invokeai.app.services.invocation_stats import InvocationStatsService -from invokeai.app.services.invoker import Invoker -from invokeai.app.services.processor import DefaultInvocationProcessor -from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory +from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig -from .test_nodes import ( +# This import must happen before other invoke imports or test in other files(!!) break +from .test_nodes import ( # isort: split ErrorInvocation, PromptTestInvocation, TestEventService, @@ -17,6 +16,16 @@ from .test_nodes import ( wait_until, ) +from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph +from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache +from invokeai.app.services.invocation_queue import MemoryInvocationQueue +from invokeai.app.services.invocation_services import InvocationServices +from invokeai.app.services.invocation_stats import InvocationStatsService +from invokeai.app.services.invoker import Invoker +from invokeai.app.services.processor import DefaultInvocationProcessor +from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID +from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory + @pytest.fixture def simple_graph(): @@ -27,29 +36,45 @@ def simple_graph(): return g +@pytest.fixture +def graph_with_subgraph(): + sub_g = Graph() + sub_g.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) + sub_g.add_node(TextToImageTestInvocation(id="2")) + sub_g.add_edge(create_edge("1", "prompt", "2", "prompt")) + g = Graph() + g.add_node(GraphInvocation(id="1", graph=sub_g)) + return g + + # This must be defined here to avoid issues with the dynamic creation of the union of all invocation types # Defining it in a separate module will cause the union to be incomplete, and pydantic will not validate # the test invocations. @pytest.fixture def mock_services() -> InvocationServices: + lock = threading.Lock() # NOTE: none of these are actually called by the test invocations + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) graph_execution_manager = SqliteItemStorage[GraphExecutionState]( - filename=sqlite_memory, table_name="graph_executions" + conn=db_conn, table_name="graph_executions", lock=lock ) return InvocationServices( model_manager=None, # type: ignore events=TestEventService(), - logger=None, # type: ignore + logger=logging, # type: ignore images=None, # type: ignore latents=None, # type: ignore boards=None, # type: ignore board_images=None, # type: ignore queue=MemoryInvocationQueue(), - graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"), + graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock), graph_execution_manager=graph_execution_manager, processor=DefaultInvocationProcessor(), performance_statistics=InvocationStatsService(graph_execution_manager), - configuration=None, # type: ignore + configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore + session_queue=None, # type: ignore + session_processor=None, # type: ignore + invocation_cache=MemoryInvocationCache(max_cache_size=0), ) @@ -78,7 +103,12 @@ def test_can_create_graph_state_from_graph(mock_invoker: Invoker, simple_graph): # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) - invocation_id = mock_invoker.invoke(g) + invocation_id = mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + ) assert invocation_id is not None def has_executed_any(g: GraphExecutionState): @@ -95,7 +125,13 @@ def test_can_invoke(mock_invoker: Invoker, simple_graph): # @pytest.mark.xfail(reason = "Requires fixing following the model manager refactor") def test_can_invoke_all(mock_invoker: Invoker, simple_graph): g = mock_invoker.create_execution_state(graph=simple_graph) - invocation_id = mock_invoker.invoke(g, invoke_all=True) + invocation_id = mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + invoke_all=True, + ) assert invocation_id is not None def has_executed_all(g: GraphExecutionState): @@ -114,7 +150,13 @@ def test_handles_errors(mock_invoker: Invoker): g = mock_invoker.create_execution_state() g.graph.add_node(ErrorInvocation(id="1")) - mock_invoker.invoke(g, invoke_all=True) + mock_invoker.invoke( + session_queue_batch_id="1", + session_queue_item_id=1, + session_queue_id=DEFAULT_QUEUE_ID, + graph_execution_state=g, + invoke_all=True, + ) def has_executed_all(g: GraphExecutionState): g = mock_invoker.services.graph_execution_manager.get(g.id) diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py index 1a07b59828..96a5040a38 100644 --- a/tests/nodes/test_nodes.py +++ b/tests/nodes/test_nodes.py @@ -53,6 +53,7 @@ class ImageTestInvocationOutput(BaseInvocationOutput): @invocation("test_text_to_image") class TextToImageTestInvocation(BaseInvocation): prompt: str = Field(default="") + prompt2: str = Field(default="") def invoke(self, context: InvocationContext) -> ImageTestInvocationOutput: return ImageTestInvocationOutput(image=ImageField(image_name=self.id)) diff --git a/tests/nodes/test_session_queue.py b/tests/nodes/test_session_queue.py new file mode 100644 index 0000000000..f28ec1ac54 --- /dev/null +++ b/tests/nodes/test_session_queue.py @@ -0,0 +1,255 @@ +import pytest +from pydantic import ValidationError, parse_raw_as + +from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation +from invokeai.app.services.session_queue.session_queue_common import ( + Batch, + BatchDataCollection, + BatchDatum, + NodeFieldValue, + calc_session_count, + create_session_nfv_tuples, + populate_graph, + prepare_values_to_insert, +) +from tests.nodes.test_nodes import PromptTestInvocation + + +@pytest.fixture +def batch_data_collection() -> BatchDataCollection: + return [ + [ + # zipped + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", "Grape sushi"]), + BatchDatum(node_path="2", field_name="prompt", items=["Strawberry sushi", "Blueberry sushi"]), + ], + [ + BatchDatum(node_path="3", field_name="prompt", items=["Orange sushi", "Apple sushi"]), + ], + ] + + +@pytest.fixture +def batch_graph() -> Graph: + g = Graph() + g.add_node(PromptTestInvocation(id="1", prompt="Chevy")) + g.add_node(PromptTestInvocation(id="2", prompt="Toyota")) + g.add_node(PromptTestInvocation(id="3", prompt="Subaru")) + g.add_node(PromptTestInvocation(id="4", prompt="Nissan")) + return g + + +def test_populate_graph_with_subgraph(): + g1 = Graph() + g1.add_node(PromptTestInvocation(id="1", prompt="Banana sushi")) + g1.add_node(PromptTestInvocation(id="2", prompt="Banana sushi")) + n1 = PromptTestInvocation(id="1", prompt="Banana snake") + subgraph = Graph() + subgraph.add_node(n1) + g1.add_node(GraphInvocation(id="3", graph=subgraph)) + + nfvs = [ + NodeFieldValue(node_path="1", field_name="prompt", value="Strawberry sushi"), + NodeFieldValue(node_path="2", field_name="prompt", value="Strawberry sunday"), + NodeFieldValue(node_path="3.1", field_name="prompt", value="Strawberry snake"), + ] + + g2 = populate_graph(g1, nfvs) + + # do not mutate g1 + assert g1 is not g2 + assert g2.get_node("1").prompt == "Strawberry sushi" + assert g2.get_node("2").prompt == "Strawberry sunday" + assert g2.get_node("3.1").prompt == "Strawberry snake" + + +def test_create_sessions_from_batch_with_runs(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 list[BatchDatum] * length 2 * 2 runs = 8 + assert len(t) == 8 + + assert t[0][0].graph.get_node("1").prompt == "Banana sushi" + assert t[0][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[0][0].graph.get_node("3").prompt == "Orange sushi" + assert t[0][0].graph.get_node("4").prompt == "Nissan" + + assert t[1][0].graph.get_node("1").prompt == "Banana sushi" + assert t[1][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[1][0].graph.get_node("3").prompt == "Apple sushi" + assert t[1][0].graph.get_node("4").prompt == "Nissan" + + assert t[2][0].graph.get_node("1").prompt == "Grape sushi" + assert t[2][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[2][0].graph.get_node("3").prompt == "Orange sushi" + assert t[2][0].graph.get_node("4").prompt == "Nissan" + + assert t[3][0].graph.get_node("1").prompt == "Grape sushi" + assert t[3][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[3][0].graph.get_node("3").prompt == "Apple sushi" + assert t[3][0].graph.get_node("4").prompt == "Nissan" + + # repeat for second run + assert t[4][0].graph.get_node("1").prompt == "Banana sushi" + assert t[4][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[4][0].graph.get_node("3").prompt == "Orange sushi" + assert t[4][0].graph.get_node("4").prompt == "Nissan" + + assert t[5][0].graph.get_node("1").prompt == "Banana sushi" + assert t[5][0].graph.get_node("2").prompt == "Strawberry sushi" + assert t[5][0].graph.get_node("3").prompt == "Apple sushi" + assert t[5][0].graph.get_node("4").prompt == "Nissan" + + assert t[6][0].graph.get_node("1").prompt == "Grape sushi" + assert t[6][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[6][0].graph.get_node("3").prompt == "Orange sushi" + assert t[6][0].graph.get_node("4").prompt == "Nissan" + + assert t[7][0].graph.get_node("1").prompt == "Grape sushi" + assert t[7][0].graph.get_node("2").prompt == "Blueberry sushi" + assert t[7][0].graph.get_node("3").prompt == "Apple sushi" + assert t[7][0].graph.get_node("4").prompt == "Nissan" + + +def test_create_sessions_from_batch_without_runs(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 list[BatchDatum] * length 2 * 1 runs = 8 + assert len(t) == 4 + + +def test_create_sessions_from_batch_without_batch(batch_graph): + b = Batch(graph=batch_graph, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 2 runs + assert len(t) == 2 + + +def test_create_sessions_from_batch_without_batch_or_runs(batch_graph): + b = Batch(graph=batch_graph) + t = list(create_session_nfv_tuples(batch=b, maximum=1000)) + # 1 run + assert len(t) == 1 + + +def test_create_sessions_from_batch_with_runs_and_max(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + t = list(create_session_nfv_tuples(batch=b, maximum=5)) + # 2 list[BatchDatum] * length 2 * 2 runs = 8, but max is 5 + assert len(t) == 5 + + +def test_calc_session_count(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + # 2 list[BatchDatum] * length 2 * 2 runs = 8 + assert calc_session_count(batch=b) == 8 + + +def test_prepare_values_to_insert(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=0, max_new_queue_items=1000) + assert len(values) == 8 + + # graph should be serialized + ges = parse_raw_as(GraphExecutionState, values[0].session) + + # graph values should be populated + assert ges.graph.get_node("1").prompt == "Banana sushi" + assert ges.graph.get_node("2").prompt == "Strawberry sushi" + assert ges.graph.get_node("3").prompt == "Orange sushi" + assert ges.graph.get_node("4").prompt == "Nissan" + + # session ids should match deserialized graph + assert [v.session_id for v in values] == [parse_raw_as(GraphExecutionState, v.session).id for v in values] + + # should unique session ids + sids = [v.session_id for v in values] + assert len(sids) == len(set(sids)) + + # should have 3 node field values + assert type(values[0].field_values) is str + assert len(parse_raw_as(list[NodeFieldValue], values[0].field_values)) == 3 + + # should have batch id and priority + assert all(v.batch_id == b.batch_id for v in values) + assert all(v.priority == 0 for v in values) + + +def test_prepare_values_to_insert_with_priority(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=1000) + assert all(v.priority == 1 for v in values) + + +def test_prepare_values_to_insert_with_max(batch_data_collection, batch_graph): + b = Batch(graph=batch_graph, data=batch_data_collection, runs=2) + values = prepare_values_to_insert(queue_id="default", batch=b, priority=1, max_new_queue_items=5) + assert len(values) == 5 + + +def test_cannot_create_bad_batch_items_length(batch_graph): + with pytest.raises(ValidationError, match="Zipped batch items must all have the same length"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), # 1 item + BatchDatum(node_path="2", field_name="prompt", items=["Toyota", "Nissan"]), # 2 items + ], + ], + ) + + +def test_cannot_create_bad_batch_items_type(batch_graph): + with pytest.raises(ValidationError, match="All items in a batch must have the same type"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi", 123]), + ] + ], + ) + + +def test_cannot_create_bad_batch_unique_ids(batch_graph): + with pytest.raises(ValidationError, match="Each batch data must have unique node_id and field_name"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), + ], + [ + BatchDatum(node_path="1", field_name="prompt", items=["Banana sushi"]), + ], + ], + ) + + +def test_cannot_create_bad_batch_nodes_exist( + batch_graph, +): + with pytest.raises(ValidationError, match=r"Node .* not found in graph"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="batman", field_name="prompt", items=["Banana sushi"]), + ], + ], + ) + + +def test_cannot_create_bad_batch_fields_exist( + batch_graph, +): + with pytest.raises(ValidationError, match=r"Field .* not found in node"): + Batch( + graph=batch_graph, + data=[ + [ + BatchDatum(node_path="1", field_name="batman", items=["Banana sushi"]), + ], + ], + ) diff --git a/tests/nodes/test_sqlite.py b/tests/nodes/test_sqlite.py index 91e4bd0c58..002161e917 100644 --- a/tests/nodes/test_sqlite.py +++ b/tests/nodes/test_sqlite.py @@ -1,3 +1,7 @@ +import sqlite3 +import threading + +import pytest from pydantic import BaseModel, Field from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory @@ -8,14 +12,18 @@ class TestModel(BaseModel): name: str = Field(description="Name") -def test_sqlite_service_can_create_and_get(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +@pytest.fixture +def db() -> SqliteItemStorage[TestModel]: + db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False) + return SqliteItemStorage[TestModel](db_conn, table_name="test", id_field="id", lock=threading.Lock()) + + +def test_sqlite_service_can_create_and_get(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) assert db.get("1") == TestModel(id="1", name="Test") -def test_sqlite_service_can_list(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -31,15 +39,13 @@ def test_sqlite_service_can_list(): ] -def test_sqlite_service_can_delete(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_delete(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.delete("1") assert db.get("1") is None -def test_sqlite_service_calls_set_callback(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_calls_set_callback(db: SqliteItemStorage[TestModel]): called = False def on_changed(item: TestModel): @@ -51,8 +57,7 @@ def test_sqlite_service_calls_set_callback(): assert called -def test_sqlite_service_calls_delete_callback(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_calls_delete_callback(db: SqliteItemStorage[TestModel]): called = False def on_deleted(item_id: str): @@ -65,8 +70,7 @@ def test_sqlite_service_calls_delete_callback(): assert called -def test_sqlite_service_can_list_with_pagination(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list_with_pagination(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -78,8 +82,7 @@ def test_sqlite_service_can_list_with_pagination(): assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")] -def test_sqlite_service_can_list_with_pagination_and_offset(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_list_with_pagination_and_offset(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -91,8 +94,7 @@ def test_sqlite_service_can_list_with_pagination_and_offset(): assert results.items == [TestModel(id="3", name="Test")] -def test_sqlite_service_can_search(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -108,8 +110,7 @@ def test_sqlite_service_can_search(): ] -def test_sqlite_service_can_search_with_pagination(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search_with_pagination(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test")) @@ -121,8 +122,7 @@ def test_sqlite_service_can_search_with_pagination(): assert results.items == [TestModel(id="1", name="Test"), TestModel(id="2", name="Test")] -def test_sqlite_service_can_search_with_pagination_and_offset(): - db = SqliteItemStorage[TestModel](sqlite_memory, "test", "id") +def test_sqlite_service_can_search_with_pagination_and_offset(db: SqliteItemStorage[TestModel]): db.set(TestModel(id="1", name="Test")) db.set(TestModel(id="2", name="Test")) db.set(TestModel(id="3", name="Test"))