chore: bump version to v5.7.1

Currently translated at 99.1% (1782 of 1797 strings)

Co-authored-by: Thomas Bolteau <thomas.bolteau50@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/fr/
Translation: InvokeAI/Web UI

docker/Dockerfile

@@ -58,7 +58,7 @@ RUN --mount=type=cache,target=/home/ubuntu/.cache/uv,uid=1000,gid=1000 \
 
 #### Build the Web UI ------------------------------------
 
-FROM node:20-slim AS web-builder
+FROM docker.io/node:22-slim AS web-builder
 ENV PNPM_HOME="/pnpm"
 ENV PATH="$PNPM_HOME:$PATH"
 RUN corepack use pnpm@8.x

invokeai/app/api/routers/boards.py

@@ -7,6 +7,7 @@ from pydantic import BaseModel, Field
 from invokeai.app.api.dependencies import ApiDependencies
 from invokeai.app.services.board_records.board_records_common import BoardChanges, BoardRecordOrderBy
 from invokeai.app.services.boards.boards_common import BoardDTO
+from invokeai.app.services.image_records.image_records_common import ImageCategory
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
 
@@ -87,7 +88,9 @@ async def delete_board(
     try:
         if include_images is True:
             deleted_images = ApiDependencies.invoker.services.board_images.get_all_board_image_names_for_board(
-                board_id=board_id
+                board_id=board_id,
+                categories=None,
+                is_intermediate=None,
             )
             ApiDependencies.invoker.services.images.delete_images_on_board(board_id=board_id)
             ApiDependencies.invoker.services.boards.delete(board_id=board_id)
@@ -98,7 +101,9 @@ async def delete_board(
             )
         else:
             deleted_board_images = ApiDependencies.invoker.services.board_images.get_all_board_image_names_for_board(
-                board_id=board_id
+                board_id=board_id,
+                categories=None,
+                is_intermediate=None,
             )
             ApiDependencies.invoker.services.boards.delete(board_id=board_id)
             return DeleteBoardResult(
@@ -142,10 +147,14 @@ async def list_boards(
 )
 async def list_all_board_image_names(
     board_id: str = Path(description="The id of the board"),
+    categories: list[ImageCategory] | None = Query(default=None, description="The categories of image to include."),
+    is_intermediate: bool | None = Query(default=None, description="Whether to list intermediate images."),
 ) -> list[str]:
     """Gets a list of images for a board"""
 
     image_names = ApiDependencies.invoker.services.board_images.get_all_board_image_names_for_board(
         board_id,
+        categories,
+        is_intermediate,
     )
     return image_names

invokeai/app/api/routers/session_queue.py

@@ -16,6 +16,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     ClearResult,
     EnqueueBatchResult,
     PruneResult,
+    RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
     SessionQueueItemDTO,
@@ -135,6 +136,19 @@ async def cancel_by_destination(
     )
 
 
+@session_queue_router.put(
+    "/{queue_id}/retry_items_by_id",
+    operation_id="retry_items_by_id",
+    responses={200: {"model": RetryItemsResult}},
+)
+async def retry_items_by_id(
+    queue_id: str = Path(description="The queue id to perform this operation on"),
+    item_ids: list[int] = Body(description="The queue item ids to retry"),
+) -> RetryItemsResult:
+    """Immediately cancels all queue items with the given origin"""
+    return ApiDependencies.invoker.services.session_queue.retry_items_by_id(queue_id=queue_id, item_ids=item_ids)
+
+
 @session_queue_router.put(
     "/{queue_id}/clear",
     operation_id="clear",

invokeai/app/api_app.py

@@ -36,6 +36,7 @@ from invokeai.app.api.routers import (
     workflows,
 )
 from invokeai.app.api.sockets import SocketIO
+from invokeai.app.invocations.load_custom_nodes import load_custom_nodes
 from invokeai.app.services.config.config_default import get_config
 from invokeai.app.util.custom_openapi import get_openapi_func
 from invokeai.backend.util.devices import TorchDevice
@@ -63,6 +64,11 @@ loop = asyncio.new_event_loop()
 # the correct port when the server starts in the lifespan handler.
 port = app_config.port
 
+# Load custom nodes. This must be done after importing the Graph class, which itself imports all modules from the
+# invocations module. The ordering here is implicit, but important - we want to load custom nodes after all the
+# core nodes have been imported so that we can catch when a custom node clobbers a core node.
+load_custom_nodes(custom_nodes_path=app_config.custom_nodes_path)
+
 
 @asynccontextmanager
 async def lifespan(app: FastAPI):

invokeai/app/invocations/__init__.py

@@ -1,33 +1,5 @@
-import shutil
-import sys
-from importlib.util import module_from_spec, spec_from_file_location
 from pathlib import Path
 
-from invokeai.app.services.config.config_default import get_config
-
-custom_nodes_path = Path(get_config().custom_nodes_path)
-custom_nodes_path.mkdir(parents=True, exist_ok=True)
-
-custom_nodes_init_path = str(custom_nodes_path / "__init__.py")
-custom_nodes_readme_path = str(custom_nodes_path / "README.md")
-
-# copy our custom nodes __init__.py to the custom nodes directory
-shutil.copy(Path(__file__).parent / "custom_nodes/init.py", custom_nodes_init_path)
-shutil.copy(Path(__file__).parent / "custom_nodes/README.md", custom_nodes_readme_path)
-
-# set the same permissions as the destination directory, in case our source is read-only,
-# so that the files are user-writable
-for p in custom_nodes_path.glob("**/*"):
-    p.chmod(custom_nodes_path.stat().st_mode)
-
-# Import custom nodes, see https://docs.python.org/3/library/importlib.html#importing-programmatically
-spec = spec_from_file_location("custom_nodes", custom_nodes_init_path)
-if spec is None or spec.loader is None:
-    raise RuntimeError(f"Could not load custom nodes from {custom_nodes_init_path}")
-module = module_from_spec(spec)
-sys.modules[spec.name] = module
-spec.loader.exec_module(module)
-
 # add core nodes to __all__
 python_files = filter(lambda f: not f.name.startswith("_"), Path(__file__).parent.glob("*.py"))
 __all__ = [f.stem for f in python_files]  # type: ignore

invokeai/app/invocations/baseinvocation.py

@@ -44,8 +44,6 @@ if TYPE_CHECKING:
 
 logger = InvokeAILogger.get_logger()
 
-CUSTOM_NODE_PACK_SUFFIX = "__invokeai-custom-node"
-
 
 class InvalidVersionError(ValueError):
     pass
@@ -240,6 +238,11 @@ class BaseInvocation(ABC, BaseModel):
         """Gets the invocation's output annotation (i.e. the return annotation of its `invoke()` method)."""
         return signature(cls.invoke).return_annotation
 
+    @classmethod
+    def get_invocation_for_type(cls, invocation_type: str) -> BaseInvocation | None:
+        """Gets the invocation class for a given invocation type."""
+        return cls.get_invocations_map().get(invocation_type)
+
     @staticmethod
     def json_schema_extra(schema: dict[str, Any], model_class: Type[BaseInvocation]) -> None:
         """Adds various UI-facing attributes to the invocation's OpenAPI schema."""
@@ -446,8 +449,27 @@ def invocation(
         if re.compile(r"^\S+$").match(invocation_type) is None:
             raise ValueError(f'"invocation_type" must consist of non-whitespace characters, got "{invocation_type}"')
 
+        # The node pack is the module name - will be "invokeai" for built-in nodes
+        node_pack = cls.__module__.split(".")[0]
+
+        # Handle the case where an existing node is being clobbered by the one we are registering
         if invocation_type in BaseInvocation.get_invocation_types():
-            raise ValueError(f'Invocation type "{invocation_type}" already exists')
+            clobbered_invocation = BaseInvocation.get_invocation_for_type(invocation_type)
+            # This should always be true - we just checked if the invocation type was in the set
+            assert clobbered_invocation is not None
+
+            clobbered_node_pack = clobbered_invocation.UIConfig.node_pack
+
+            if clobbered_node_pack == "invokeai":
+                # The node being clobbered is a core node
+                raise ValueError(
+                    f'Cannot load node "{invocation_type}" from node pack "{node_pack}" - a core node with the same type already exists'
+                )
+            else:
+                # The node being clobbered is a custom node
+                raise ValueError(
+                    f'Cannot load node "{invocation_type}" from node pack "{node_pack}" - a node with the same type already exists in node pack "{clobbered_node_pack}"'
+                )
 
         validate_fields(cls.model_fields, invocation_type)
 
@@ -457,8 +479,7 @@ def invocation(
         uiconfig["tags"] = tags
         uiconfig["category"] = category
         uiconfig["classification"] = classification
-        # The node pack is the module name - will be "invokeai" for built-in nodes
-        uiconfig["node_pack"] = cls.__module__.split(".")[0]
+        uiconfig["node_pack"] = node_pack
 
         if version is not None:
             try:

invokeai/app/invocations/batch.py

@@ -64,13 +64,50 @@ class ImageBatchInvocation(BaseBatchInvocation):
     """Create a batched generation, where the workflow is executed once for each image in the batch."""
 
     images: list[ImageField] = InputField(
-        default=[], min_length=1, description="The images to batch over", input=Input.Direct
+        default=[],
+        min_length=1,
+        description="The images to batch over",
     )
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         raise NotExecutableNodeError()
 
 
+@invocation_output("image_generator_output")
+class ImageGeneratorOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of boards"""
+
+    images: list[ImageField] = OutputField(description="The generated images")
+
+
+class ImageGeneratorField(BaseModel):
+    pass
+
+
+@invocation(
+    "image_generator",
+    title="Image Generator",
+    tags=["primitives", "board", "image", "batch", "special"],
+    category="primitives",
+    version="1.0.0",
+    classification=Classification.Special,
+)
+class ImageGenerator(BaseInvocation):
+    """Generated a collection of images for use in a batched generation"""
+
+    generator: ImageGeneratorField = InputField(
+        description="The image generator.",
+        input=Input.Direct,
+        title="Generator Type",
+    )
+
+    def __init__(self):
+        raise NotExecutableNodeError()
+
+    def invoke(self, context: InvocationContext) -> ImageGeneratorOutput:
+        raise NotExecutableNodeError()
+
+
 @invocation(
     "string_batch",
     title="String Batch",

invokeai/app/invocations/custom_nodes/init.py

@@ -10,10 +10,12 @@ from pathlib import Path
 from invokeai.backend.util.logging import InvokeAILogger
 
 logger = InvokeAILogger.get_logger()
-loaded_count = 0
+loaded_packs: list[str] = []
+failed_packs: list[str] = []
 
+custom_nodes_dir = Path(__file__).parent
 
-for d in Path(__file__).parent.iterdir():
+for d in custom_nodes_dir.iterdir():
     # skip files
     if not d.is_dir():
         continue
@@ -47,12 +49,16 @@ for d in Path(__file__).parent.iterdir():
         sys.modules[spec.name] = module
         spec.loader.exec_module(module)
 
-        loaded_count += 1
+        loaded_packs.append(module_name)
     except Exception:
+        failed_packs.append(module_name)
         full_error = traceback.format_exc()
-        logger.error(f"Failed to load node pack {module_name}:\n{full_error}")
+        logger.error(f"Failed to load node pack {module_name} (may have partially loaded):\n{full_error}")
 
     del init, module_name
 
+loaded_count = len(loaded_packs)
 if loaded_count > 0:
-    logger.info(f"Loaded {loaded_count} node packs from {Path(__file__).parent}")
+    logger.info(
+        f"Loaded {loaded_count} node pack{'s' if loaded_count != 1 else ''} from {custom_nodes_dir}: {', '.join(loaded_packs)}"
+    )

invokeai/app/invocations/load_custom_nodes.py

@@ -0,0 +1,40 @@
+import shutil
+import sys
+from importlib.util import module_from_spec, spec_from_file_location
+from pathlib import Path
+
+
+def load_custom_nodes(custom_nodes_path: Path):
+    """
+    Loads all custom nodes from the custom_nodes_path directory.
+
+    This function copies a custom __init__.py file to the custom_nodes_path directory, effectively turning it into a
+    python module.
+
+    The custom __init__.py file itself imports all the custom node packs as python modules from the custom_nodes_path
+    directory.
+
+    Then,the custom __init__.py file is programmatically imported using importlib. As it executes, it imports all the
+    custom node packs as python modules.
+    """
+    custom_nodes_path.mkdir(parents=True, exist_ok=True)
+
+    custom_nodes_init_path = str(custom_nodes_path / "__init__.py")
+    custom_nodes_readme_path = str(custom_nodes_path / "README.md")
+
+    # copy our custom nodes __init__.py to the custom nodes directory
+    shutil.copy(Path(__file__).parent / "custom_nodes/init.py", custom_nodes_init_path)
+    shutil.copy(Path(__file__).parent / "custom_nodes/README.md", custom_nodes_readme_path)
+
+    # set the same permissions as the destination directory, in case our source is read-only,
+    # so that the files are user-writable
+    for p in custom_nodes_path.glob("**/*"):
+        p.chmod(custom_nodes_path.stat().st_mode)
+
+    # Import custom nodes, see https://docs.python.org/3/library/importlib.html#importing-programmatically
+    spec = spec_from_file_location("custom_nodes", custom_nodes_init_path)
+    if spec is None or spec.loader is None:
+        raise RuntimeError(f"Could not load custom nodes from {custom_nodes_init_path}")
+    module = module_from_spec(spec)
+    sys.modules[spec.name] = module
+    spec.loader.exec_module(module)

invokeai/app/invocations/metadata.py

@@ -284,6 +284,7 @@ class CoreMetadataInvocation(BaseInvocation):
     tags=["metadata"],
     category="metadata",
     version="1.0.0",
+    classification=Classification.Deprecated,
 )
 class MetadataFieldExtractorInvocation(BaseInvocation):
     """Extracts the text value from an image's metadata given a key.

invokeai/app/invocations/primitives.py

@@ -265,13 +265,9 @@ class ImageInvocation(BaseInvocation):
     image: ImageField = InputField(description="The image to load")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        image = context.images.get_pil(self.image.image_name)
+        image_dto = context.images.get_dto(self.image.image_name)
 
-        return ImageOutput(
-            image=ImageField(image_name=self.image.image_name),
-            width=image.width,
-            height=image.height,
-        )
+        return ImageOutput.build(image_dto=image_dto)
 
 
 @invocation(

invokeai/app/services/board_image_records/board_image_records_base.py

@@ -1,6 +1,8 @@
 from abc import ABC, abstractmethod
 from typing import Optional
 
+from invokeai.app.services.image_records.image_records_common import ImageCategory
+
 
 class BoardImageRecordStorageBase(ABC):
     """Abstract base class for the one-to-many board-image relationship record storage."""
@@ -26,6 +28,8 @@ class BoardImageRecordStorageBase(ABC):
     def get_all_board_image_names_for_board(
         self,
         board_id: str,
+        categories: list[ImageCategory] | None,
+        is_intermediate: bool | None,
     ) -> list[str]:
         """Gets all board images for a board, as a list of the image names."""
         pass

invokeai/app/services/board_image_records/board_image_records_sqlite.py

@@ -3,7 +3,11 @@ import threading
 from typing import Optional, cast
 
 from invokeai.app.services.board_image_records.board_image_records_base import BoardImageRecordStorageBase
-from invokeai.app.services.image_records.image_records_common import ImageRecord, deserialize_image_record
+from invokeai.app.services.image_records.image_records_common import (
+    ImageCategory,
+    ImageRecord,
+    deserialize_image_record,
+)
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
 
@@ -97,17 +101,54 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
             self._lock.release()
         return OffsetPaginatedResults(items=images, offset=offset, limit=limit, total=count)
 
-    def get_all_board_image_names_for_board(self, board_id: str) -> list[str]:
+    def get_all_board_image_names_for_board(
+        self,
+        board_id: str,
+        categories: list[ImageCategory] | None,
+        is_intermediate: bool | None,
+    ) -> list[str]:
         try:
             self._lock.acquire()
-            self._cursor.execute(
-                """--sql
-                SELECT image_name
-                FROM board_images
-                WHERE board_id = ?;
-                """,
-                (board_id,),
-            )
+
+            params: list[str | bool] = []
+
+            # Base query is a join between images and board_images
+            stmt = """
+                SELECT images.image_name
+                FROM images
+                LEFT JOIN board_images ON board_images.image_name = images.image_name
+                WHERE 1=1
+                AND board_images.board_id = ?
+                """
+            params.append(board_id)
+
+            # Add the category filter
+            if categories is not None:
+                # Convert the enum values to unique list of strings
+                category_strings = [c.value for c in set(categories)]
+                # Create the correct length of placeholders
+                placeholders = ",".join("?" * len(category_strings))
+                stmt += f"""--sql
+                AND images.image_category IN ( {placeholders} )
+                """
+
+                # Unpack the included categories into the query params
+                for c in category_strings:
+                    params.append(c)
+
+            # Add the is_intermediate filter
+            if is_intermediate is not None:
+                stmt += """--sql
+                AND images.is_intermediate = ?
+                """
+                params.append(is_intermediate)
+
+            # Put a ring on it
+            stmt += ";"
+
+            # Execute the query
+            self._cursor.execute(stmt, params)
+
             result = cast(list[sqlite3.Row], self._cursor.fetchall())
             image_names = [r[0] for r in result]
             return image_names

invokeai/app/services/board_images/board_images_base.py

@@ -1,6 +1,8 @@
 from abc import ABC, abstractmethod
 from typing import Optional
 
+from invokeai.app.services.image_records.image_records_common import ImageCategory
+
 
 class BoardImagesServiceABC(ABC):
     """High-level service for board-image relationship management."""
@@ -26,6 +28,8 @@ class BoardImagesServiceABC(ABC):
     def get_all_board_image_names_for_board(
         self,
         board_id: str,
+        categories: list[ImageCategory] | None,
+        is_intermediate: bool | None,
     ) -> list[str]:
         """Gets all board images for a board, as a list of the image names."""
         pass

invokeai/app/services/board_images/board_images_default.py

@@ -1,6 +1,7 @@
 from typing import Optional
 
 from invokeai.app.services.board_images.board_images_base import BoardImagesServiceABC
+from invokeai.app.services.image_records.image_records_common import ImageCategory
 from invokeai.app.services.invoker import Invoker
 
 
@@ -26,8 +27,14 @@ class BoardImagesService(BoardImagesServiceABC):
     def get_all_board_image_names_for_board(
         self,
         board_id: str,
+        categories: list[ImageCategory] | None,
+        is_intermediate: bool | None,
     ) -> list[str]:
-        return self.__invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
+        return self.__invoker.services.board_image_records.get_all_board_image_names_for_board(
+            board_id,
+            categories,
+            is_intermediate,
+        )
 
     def get_board_for_image(
         self,

invokeai/app/services/bulk_download/bulk_download_default.py

@@ -63,7 +63,11 @@ class BulkDownloadService(BulkDownloadBase):
         return [self._invoker.services.images.get_dto(image_name) for image_name in image_names]
 
     def _board_handler(self, board_id: str) -> list[ImageDTO]:
-        image_names = self._invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
+        image_names = self._invoker.services.board_image_records.get_all_board_image_names_for_board(
+            board_id,
+            categories=None,
+            is_intermediate=None,
+        )
         return self._image_handler(image_names)
 
     def generate_item_id(self, board_id: Optional[str]) -> str:

invokeai/app/services/events/events_base.py

@@ -28,6 +28,7 @@ from invokeai.app.services.events.events_common import (
     ModelLoadCompleteEvent,
     ModelLoadStartedEvent,
     QueueClearedEvent,
+    QueueItemsRetriedEvent,
     QueueItemStatusChangedEvent,
 )
 
@@ -39,6 +40,7 @@ if TYPE_CHECKING:
     from invokeai.app.services.session_queue.session_queue_common import (
         BatchStatus,
         EnqueueBatchResult,
+        RetryItemsResult,
         SessionQueueItem,
         SessionQueueStatus,
     )
@@ -99,6 +101,10 @@ class EventServiceBase:
         """Emitted when a batch is enqueued"""
         self.dispatch(BatchEnqueuedEvent.build(enqueue_result))
 
+    def emit_queue_items_retried(self, retry_result: "RetryItemsResult") -> None:
+        """Emitted when a list of queue items are retried"""
+        self.dispatch(QueueItemsRetriedEvent.build(retry_result))
+
     def emit_queue_cleared(self, queue_id: str) -> None:
         """Emitted when a queue is cleared"""
         self.dispatch(QueueClearedEvent.build(queue_id))

invokeai/app/services/events/events_common.py

@@ -10,6 +10,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     QUEUE_ITEM_STATUS,
     BatchStatus,
     EnqueueBatchResult,
+    RetryItemsResult,
     SessionQueueItem,
     SessionQueueStatus,
 )
@@ -290,6 +291,22 @@ class BatchEnqueuedEvent(QueueEventBase):
         )
 
 
+@payload_schema.register
+class QueueItemsRetriedEvent(QueueEventBase):
+    """Event model for queue_items_retried"""
+
+    __event_name__ = "queue_items_retried"
+
+    retried_item_ids: list[int] = Field(description="The IDs of the queue items that were retried")
+
+    @classmethod
+    def build(cls, retry_result: RetryItemsResult) -> "QueueItemsRetriedEvent":
+        return cls(
+            queue_id=retry_result.queue_id,
+            retried_item_ids=retry_result.retried_item_ids,
+        )
+
+
 @payload_schema.register
 class QueueClearedEvent(QueueEventBase):
     """Event model for queue_cleared"""

invokeai/app/services/images/images_default.py

@@ -265,7 +265,11 @@ class ImageService(ImageServiceABC):
 
     def delete_images_on_board(self, board_id: str):
         try:
-            image_names = self.__invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
+            image_names = self.__invoker.services.board_image_records.get_all_board_image_names_for_board(
+                board_id,
+                categories=None,
+                is_intermediate=None,
+            )
             for image_name in image_names:
                 self.__invoker.services.image_files.delete(image_name)
             self.__invoker.services.image_records.delete_many(image_names)
@@ -278,7 +282,7 @@ class ImageService(ImageServiceABC):
             self.__invoker.services.logger.error("Failed to delete image files")
             raise
         except Exception as e:
-            self.__invoker.services.logger.error("Problem deleting image records and files")
+            self.__invoker.services.logger.error(f"Problem deleting image records and files: {str(e)}")
             raise e
 
     def delete_intermediates(self) -> int:

invokeai/app/services/session_queue/session_queue_base.py

@@ -14,6 +14,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     IsEmptyResult,
     IsFullResult,
     PruneResult,
+    RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
     SessionQueueItemDTO,
@@ -139,3 +140,8 @@ class SessionQueueBase(ABC):
     def set_queue_item_session(self, item_id: int, session: GraphExecutionState) -> SessionQueueItem:
         """Sets the session for a session queue item. Use this to update the session state."""
         pass
+
+    @abstractmethod
+    def retry_items_by_id(self, queue_id: str, item_ids: list[int]) -> RetryItemsResult:
+        """Retries the given queue items"""
+        pass

invokeai/app/services/session_queue/session_queue_common.py

@@ -1,7 +1,7 @@
 import datetime
 import json
 from itertools import chain, product
-from typing import Generator, Iterable, Literal, NamedTuple, Optional, TypeAlias, Union, cast
+from typing import Generator, Literal, Optional, TypeAlias, Union, cast
 
 from pydantic import (
     AliasChoices,
@@ -234,6 +234,9 @@ class SessionQueueItemWithoutGraph(BaseModel):
     field_values: Optional[list[NodeFieldValue]] = Field(
         default=None, description="The field values that were used for this queue item"
     )
+    retried_from_item_id: Optional[int] = Field(
+        default=None, description="The item_id of the queue item that this item was retried from"
+    )
 
     @classmethod
     def queue_item_dto_from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
@@ -344,6 +347,11 @@ class EnqueueBatchResult(BaseModel):
     priority: int = Field(description="The priority of the enqueued batch")
 
 
+class RetryItemsResult(BaseModel):
+    queue_id: str = Field(description="The ID of the queue")
+    retried_item_ids: list[int] = Field(description="The IDs of the queue items that were retried")
+
+
 class ClearResult(BaseModel):
     """Result of clearing the session queue"""
 
@@ -398,61 +406,143 @@ class IsFullResult(BaseModel):
 # region Util
 
 
-def populate_graph(graph: Graph, node_field_values: Iterable[NodeFieldValue]) -> Graph:
+def create_session_nfv_tuples(batch: Batch, maximum: int) -> Generator[tuple[str, str, str], None, None]:
     """
-    Populates the given graph with the given batch data items.
-    """
-    graph_clone = graph.model_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
+    Given a batch and a maximum number of sessions to create, generate a tuple of session_id, session_json, and
+    field_values_json for each session.
 
+    The batch has a "source" graph and a data property. The data property is a list of lists of BatchDatum objects.
+    Each BatchDatum has a field identifier (e.g. a node id and field name), and a list of values to substitute into
+    the field.
 
-def create_session_nfv_tuples(
-    batch: Batch, maximum: int
-) -> Generator[tuple[GraphExecutionState, list[NodeFieldValue], Optional[WorkflowWithoutID]], 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.
+    This structure allows us to create a new graph for every possible permutation of BatchDatum objects:
+    - Each BatchDatum can be "expanded" into a dict of node-field-value tuples - one for each item in the BatchDatum.
+    - Zip each inner list of expanded BatchDatum objects together. Call this a "batch_data_list".
+    - Take the cartesian product of all zipped batch_data_lists, resulting in a list of permutations of BatchDatum
+    - Take the cartesian product of all zipped batch_data_lists, resulting in a list of lists of BatchDatum objects.
+        Each inner list now represents the substitution values for a single permutation (session).
+    - For each permutation, substitute the values into the graph
+
+    This function is optimized for performance, as it is used to generate a large number of sessions at once.
+
+    Args:
+        batch: The batch to generate sessions from
+        maximum: The maximum number of sessions to generate
+
+    Returns:
+        A generator that yields tuples of session_id, session_json, and field_values_json for each session. The
+        generator will stop early if the maximum number of sessions is reached.
     """
 
     # TODO: Should this be a class method on Batch?
 
-    data: list[list[tuple[NodeFieldValue]]] = []
+    data: list[list[tuple[dict]]] = []
     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_list in batch_data_collection:
+        node_field_values_to_zip: list[list[dict]] = []
+        # Expand each BatchDatum into a list of dicts - one for each item in the BatchDatum
         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)
+                # Note: A tuple here is slightly faster than a dict, but we need the object in dict form to be inserted
+                # in the session_queue table anyways. So, overall creating NFVs as dicts is faster.
+                {"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)
+        # Zip the dicts together to create a list of dicts for each permutation
         data.append(list(zip(*node_field_values_to_zip, strict=True)))  # type: ignore [arg-type]
 
-    # create generator to yield session,nfv tuples
+    # We serialize the graph and session once, then mutate the graph dict in place for each session.
+    #
+    # This sounds scary, but it's actually fine.
+    #
+    # The batch prep logic injects field values into the same fields for each generated session.
+    #
+    # For example, after the product operation, we'll end up with a list of node-field-value tuples like this:
+    # [
+    #   (
+    #     {"node_path": "1", "field_name": "a", "value": 1},
+    #     {"node_path": "2", "field_name": "b", "value": 2},
+    #     {"node_path": "3", "field_name": "c", "value": 3},
+    #   ),
+    #   (
+    #     {"node_path": "1", "field_name": "a", "value": 4},
+    #     {"node_path": "2", "field_name": "b", "value": 5},
+    #     {"node_path": "3", "field_name": "c", "value": 6},
+    #   )
+    # ]
+    #
+    # Note that each tuple has the same length, and each tuple substitutes values in for exactly the same node fields.
+    # No matter the complexity of the batch, this property holds true.
+    #
+    # This means each permutation's substitution can be done in-place on the same graph dict, because it overwrites the
+    # previous mutation. We only need to serialize the graph once, and then we can mutate it in place for each session.
+    #
+    # Previously, we had created new Graph objects for each session, but this was very slow for large (1k+ session
+    # batches). We then tried dumping the graph to dict and using deep-copy to create a new dict for each session,
+    # but this was also slow.
+    #
+    # Overall, we achieved a 100x speedup by mutating the graph dict in place for each session over creating new Graph
+    # objects for each session.
+    #
+    # We will also mutate the session dict in place, setting a new ID for each session and setting the mutated graph
+    # dict as the session's graph.
+
+    # Dump the batch's graph to a dict once
+    graph_as_dict = batch.graph.model_dump(warnings=False, exclude_none=True)
+
+    # We must provide a Graph object when creating the "dummy" session dict, but we don't actually use it. It will be
+    # overwritten for each session by the mutated graph_as_dict.
+    session_dict = GraphExecutionState(graph=Graph()).model_dump(warnings=False, exclude_none=True)
+
+    # Now we can create a generator that yields the session_id, session_json, and field_values_json for each session.
     count = 0
+
+    # Each batch may have multiple runs, so we need to generate the same number of sessions for each run. The total is
+    # still limited by the maximum number of sessions.
     for _ in range(batch.runs):
         for d in product(*data):
             if count >= maximum:
+                # We've reached the maximum number of sessions we may generate
                 return
+
+            # Flatten the list of lists of dicts into a single list of dicts
+            # TODO(psyche): Is the a more efficient way to do this?
             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, batch.workflow)
+
+            # Need a fresh ID for each session
+            session_id = uuid_string()
+
+            # Mutate the session dict in place
+            session_dict["id"] = session_id
+
+            # Substitute the values into the graph
+            for nfv in flat_node_field_values:
+                graph_as_dict["nodes"][nfv["node_path"]][nfv["field_name"]] = nfv["value"]
+
+            # Mutate the session dict in place
+            session_dict["graph"] = graph_as_dict
+
+            # Serialize the session and field values
+            # Note the use of pydantic's to_jsonable_python to handle serialization of any python object, including sets.
+            session_json = json.dumps(session_dict, default=to_jsonable_python)
+            field_values_json = json.dumps(flat_node_field_values, default=to_jsonable_python)
+
+            # Yield the session_id, session_json, and field_values_json
+            yield (session_id, session_json, field_values_json)
+
+            # Increment the count so we know when to stop
             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().
+    Calculates the number of sessions that would be created by the batch, without incurring the overhead of actually
+    creating them, as is done in `create_session_nfv_tuples()`.
+
+    The count is used to communicate to the user how many sessions were _requested_ to be created, as opposed to how
+    many were _actually_ created (which may be less due to the maximum number of sessions).
     """
     # TODO: Should this be a class method on Batch?
     if not batch.data:
@@ -468,41 +558,75 @@ def calc_session_count(batch: Batch) -> int:
     return len(data_product) * batch.runs
 
 
-class SessionQueueValueToInsert(NamedTuple):
-    """A tuple of values to insert into the session_queue table"""
-
-    # Careful with the ordering of this - it must match the insert statement
-    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
-    workflow: Optional[str]  # workflow json
-    origin: str | None
-    destination: str | None
+ValueToInsertTuple: TypeAlias = tuple[
+    str,  # queue_id
+    str,  # session (as stringified JSON)
+    str,  # session_id
+    str,  # batch_id
+    str | None,  # field_values (optional, as stringified JSON)
+    int,  # priority
+    str | None,  # workflow (optional, as stringified JSON)
+    str | None,  # origin (optional)
+    str | None,  # destination (optional)
+    int | None,  # retried_from_item_id (optional, this is always None for new items)
+]
+"""A type alias for the tuple of values to insert into the session queue table."""
 
 
-ValuesToInsert: TypeAlias = list[SessionQueueValueToInsert]
+def prepare_values_to_insert(
+    queue_id: str, batch: Batch, priority: int, max_new_queue_items: int
+) -> list[ValueToInsertTuple]:
+    """
+    Given a batch, prepare the values to insert into the session queue table. The list of tuples can be used with an
+    `executemany` statement to insert multiple rows at once.
 
+    Args:
+        queue_id: The ID of the queue to insert the items into
+        batch: The batch to prepare the values for
+        priority: The priority of the queue items
+        max_new_queue_items: The maximum number of queue items to insert
 
-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, workflow in create_session_nfv_tuples(batch, max_new_queue_items):
-        # sessions must have unique id
-        session.id = uuid_string()
+    Returns:
+        A list of tuples to insert into the session queue table. Each tuple contains the following values:
+        - queue_id
+        - session (as stringified JSON)
+        - session_id
+        - batch_id
+        - field_values (optional, as stringified JSON)
+        - priority
+        - workflow (optional, as stringified JSON)
+        - origin (optional)
+        - destination (optional)
+        - retried_from_item_id (optional, this is always None for new items)
+    """
+
+    # A tuple is a fast and memory-efficient way to store the values to insert. Previously, we used a NamedTuple, but
+    # measured a ~5% performance improvement by using a normal tuple instead. For very large batches (10k+ items), the
+    # this difference becomes noticeable.
+    #
+    # So, despite the inferior DX with normal tuples, we use one here for performance reasons.
+
+    values_to_insert: list[ValueToInsertTuple] = []
+
+    # pydantic's to_jsonable_python handles serialization of any python object, including sets, which json.dumps does
+    # not support by default. Apparently there are sets somewhere in the graph.
+
+    # The same workflow is used for all sessions in the batch - serialize it once
+    workflow_json = json.dumps(batch.workflow, default=to_jsonable_python) if batch.workflow else None
+
+    for session_id, session_json, field_values_json in create_session_nfv_tuples(batch, max_new_queue_items):
         values_to_insert.append(
-            SessionQueueValueToInsert(
-                queue_id,  # queue_id
-                session.model_dump_json(warnings=False, exclude_none=True),  # 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=to_jsonable_python) if field_values else None,  # field_values (json)
-                priority,  # priority
-                json.dumps(workflow, default=to_jsonable_python) if workflow else None,  # workflow (json)
-                batch.origin,  # origin
-                batch.destination,  # destination
+            (
+                queue_id,
+                session_json,
+                session_id,
+                batch.batch_id,
+                field_values_json,
+                priority,
+                workflow_json,
+                batch.origin,
+                batch.destination,
+                None,
             )
         )
     return values_to_insert

invokeai/app/services/session_queue/session_queue_sqlite.py

@@ -1,7 +1,10 @@
+import json
 import sqlite3
 import threading
 from typing import Optional, Union, cast
 
+from pydantic_core import to_jsonable_python
+
 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 (
@@ -18,6 +21,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     IsEmptyResult,
     IsFullResult,
     PruneResult,
+    RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
     SessionQueueItemDTO,
@@ -130,8 +134,8 @@ class SqliteSessionQueue(SessionQueueBase):
 
             self.__cursor.executemany(
                 """--sql
-                INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority, workflow, origin, destination)
-                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+                INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority, workflow, origin, destination, retried_from_item_id)
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
                 """,
                 values_to_insert,
             )
@@ -761,3 +765,71 @@ class SqliteSessionQueue(SessionQueueBase):
             canceled=counts.get("canceled", 0),
             total=total,
         )
+
+    def retry_items_by_id(self, queue_id: str, item_ids: list[int]) -> RetryItemsResult:
+        """Retries the given queue items"""
+        try:
+            self.__lock.acquire()
+
+            values_to_insert: list[tuple] = []
+            retried_item_ids: list[int] = []
+
+            for item_id in item_ids:
+                queue_item = self.get_queue_item(item_id)
+
+                if queue_item.status not in ("failed", "canceled"):
+                    continue
+
+                retried_item_ids.append(item_id)
+
+                field_values_json = (
+                    json.dumps(queue_item.field_values, default=to_jsonable_python) if queue_item.field_values else None
+                )
+                workflow_json = (
+                    json.dumps(queue_item.workflow, default=to_jsonable_python) if queue_item.workflow else None
+                )
+                cloned_session = GraphExecutionState(graph=queue_item.session.graph)
+                cloned_session_json = cloned_session.model_dump_json(warnings=False, exclude_none=True)
+
+                retried_from_item_id = (
+                    queue_item.retried_from_item_id
+                    if queue_item.retried_from_item_id is not None
+                    else queue_item.item_id
+                )
+
+                value_to_insert = (
+                    queue_item.queue_id,
+                    queue_item.batch_id,
+                    queue_item.destination,
+                    field_values_json,
+                    queue_item.origin,
+                    queue_item.priority,
+                    workflow_json,
+                    cloned_session_json,
+                    cloned_session.id,
+                    retried_from_item_id,
+                )
+                values_to_insert.append(value_to_insert)
+
+            # TODO(psyche): Handle max queue size?
+
+            self.__cursor.executemany(
+                """--sql
+                INSERT INTO session_queue (queue_id, session, session_id, batch_id, field_values, priority, workflow, origin, destination, retried_from_item_id)
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                values_to_insert,
+            )
+
+            self.__conn.commit()
+        except Exception:
+            self.__conn.rollback()
+            raise
+        finally:
+            self.__lock.release()
+        retry_result = RetryItemsResult(
+            queue_id=queue_id,
+            retried_item_ids=retried_item_ids,
+        )
+        self.__invoker.services.events.emit_queue_items_retried(retry_result)
+        return retry_result

invokeai/app/services/shared/invocation_context.py

@@ -9,6 +9,7 @@ from torch import Tensor
 
 from invokeai.app.invocations.constants import IMAGE_MODES
 from invokeai.app.invocations.fields import MetadataField, WithBoard, WithMetadata
+from invokeai.app.services.board_records.board_records_common import BoardRecordOrderBy
 from invokeai.app.services.boards.boards_common import BoardDTO
 from invokeai.app.services.config.config_default import InvokeAIAppConfig
 from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
@@ -16,6 +17,7 @@ from invokeai.app.services.images.images_common import ImageDTO
 from invokeai.app.services.invocation_services import InvocationServices
 from invokeai.app.services.model_records.model_records_base import UnknownModelException
 from invokeai.app.services.session_processor.session_processor_common import ProgressImage
+from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
 from invokeai.app.util.step_callback import flux_step_callback, stable_diffusion_step_callback
 from invokeai.backend.model_manager.config import (
     AnyModel,
@@ -102,7 +104,9 @@ class BoardsInterface(InvocationContextInterface):
         Returns:
             A list of all boards.
         """
-        return self._services.boards.get_all()
+        return self._services.boards.get_all(
+            order_by=BoardRecordOrderBy.CreatedAt, direction=SQLiteDirection.Descending
+        )
 
     def add_image_to_board(self, board_id: str, image_name: str) -> None:
         """Adds an image to a board.
@@ -122,7 +126,11 @@ class BoardsInterface(InvocationContextInterface):
         Returns:
             A list of all image names for the board.
         """
-        return self._services.board_images.get_all_board_image_names_for_board(board_id)
+        return self._services.board_images.get_all_board_image_names_for_board(
+            board_id,
+            categories=None,
+            is_intermediate=None,
+        )
 
 
 class LoggerInterface(InvocationContextInterface):
@@ -283,7 +291,7 @@ class ImagesInterface(InvocationContextInterface):
         Returns:
             The local path of the image or thumbnail.
         """
-        return self._services.images.get_path(image_name, thumbnail)
+        return Path(self._services.images.get_path(image_name, thumbnail))
 
 
 class TensorsInterface(InvocationContextInterface):

invokeai/app/services/shared/sqlite/sqlite_util.py

@@ -18,6 +18,7 @@ from invokeai.app.services.shared.sqlite_migrator.migrations.migration_12 import
 from invokeai.app.services.shared.sqlite_migrator.migrations.migration_13 import build_migration_13
 from invokeai.app.services.shared.sqlite_migrator.migrations.migration_14 import build_migration_14
 from invokeai.app.services.shared.sqlite_migrator.migrations.migration_15 import build_migration_15
+from invokeai.app.services.shared.sqlite_migrator.migrations.migration_16 import build_migration_16
 from invokeai.app.services.shared.sqlite_migrator.sqlite_migrator_impl import SqliteMigrator
 
 
@@ -53,6 +54,7 @@ def init_db(config: InvokeAIAppConfig, logger: Logger, image_files: ImageFileSto
     migrator.register_migration(build_migration_13())
     migrator.register_migration(build_migration_14())
     migrator.register_migration(build_migration_15())
+    migrator.register_migration(build_migration_16())
     migrator.run_migrations()
 
     return db

invokeai/app/services/shared/sqlite_migrator/migrations/migration_16.py

@@ -0,0 +1,31 @@
+import sqlite3
+
+from invokeai.app.services.shared.sqlite_migrator.sqlite_migrator_common import Migration
+
+
+class Migration16Callback:
+    def __call__(self, cursor: sqlite3.Cursor) -> None:
+        self._add_retried_from_item_id_col(cursor)
+
+    def _add_retried_from_item_id_col(self, cursor: sqlite3.Cursor) -> None:
+        """
+        - Adds `retried_from_item_id` column to the session queue table.
+        """
+
+        cursor.execute("ALTER TABLE session_queue ADD COLUMN retried_from_item_id INTEGER;")
+
+
+def build_migration_16() -> Migration:
+    """
+    Build the migration from database version 15 to 16.
+
+    This migration does the following:
+        - Adds `retried_from_item_id` column to the session queue table.
+    """
+    migration_16 = Migration(
+        from_version=15,
+        to_version=16,
+        callback=Migration16Callback(),
+    )
+
+    return migration_16

invokeai/app/services/workflow_records/workflow_records_common.py

@@ -62,9 +62,13 @@ class WorkflowWithoutID(BaseModel):
     notes: str = Field(description="The notes of the workflow.")
     exposedFields: list[ExposedField] = Field(description="The exposed fields of the workflow.")
     meta: WorkflowMeta = Field(description="The meta of the workflow.")
-    # TODO: nodes and edges are very loosely typed
+    # TODO(psyche): nodes, edges and form are very loosely typed - they are strictly modeled and checked on the frontend.
     nodes: list[dict[str, JsonValue]] = Field(description="The nodes of the workflow.")
     edges: list[dict[str, JsonValue]] = Field(description="The edges of the workflow.")
+    # TODO(psyche): We have a crapload of workflows that have no form, bc it was added after we introduced workflows.
+    # This is typed as optional to prevent errors when pulling workflows from the DB. The frontend adds a default form if
+    # it is None.
+    form: dict[str, JsonValue] | None = Field(default=None, description="The form of the workflow.")
 
     model_config = ConfigDict(extra="ignore")
 

invokeai/frontend/web/package.json

@@ -58,10 +58,11 @@
     "@dagrejs/dagre": "^1.1.4",
     "@dagrejs/graphlib": "^2.2.4",
     "@fontsource-variable/inter": "^5.1.0",
-    "@invoke-ai/ui-library": "^0.0.44",
+    "@invoke-ai/ui-library": "^0.0.46",
     "@nanostores/react": "^0.7.3",
-    "@reduxjs/toolkit": "2.2.3",
+    "@reduxjs/toolkit": "2.5.1",
     "@roarr/browser-log-writer": "^1.3.0",
+    "@xyflow/react": "^12.4.2",
     "async-mutex": "^0.5.0",
     "chakra-react-select": "^4.9.2",
     "cmdk": "^1.0.0",
@@ -74,6 +75,8 @@
     "idb-keyval": "^6.2.1",
     "jsondiffpatch": "^0.6.0",
     "konva": "^9.3.15",
+    "linkify-react": "^4.2.0",
+    "linkifyjs": "^4.2.0",
     "lodash-es": "^4.17.21",
     "lru-cache": "^11.0.1",
     "mtwist": "^1.0.2",
@@ -96,9 +99,9 @@
     "react-icons": "^5.3.0",
     "react-redux": "9.1.2",
     "react-resizable-panels": "^2.1.4",
+    "react-textarea-autosize": "^8.5.7",
     "react-use": "^17.5.1",
     "react-virtuoso": "^4.10.4",
-    "reactflow": "^11.11.4",
     "redux-dynamic-middlewares": "^2.2.0",
     "redux-remember": "^5.1.0",
     "redux-undo": "^1.1.0",
@@ -135,8 +138,8 @@
     "@types/react-dom": "^18.3.0",
     "@types/uuid": "^10.0.0",
     "@vitejs/plugin-react-swc": "^3.8.0",
-    "@vitest/coverage-v8": "^3.0.5",
-    "@vitest/ui": "^3.0.5",
+    "@vitest/coverage-v8": "^3.0.6",
+    "@vitest/ui": "^3.0.6",
     "concurrently": "^8.2.2",
     "csstype": "^3.1.3",
     "dpdm": "^3.14.0",
@@ -157,7 +160,7 @@
     "vite-plugin-dts": "^4.5.0",
     "vite-plugin-eslint": "^1.8.1",
     "vite-tsconfig-paths": "^5.1.4",
-    "vitest": "^1.6.0"
+    "vitest": "^3.0.6"
   },
   "engines": {
     "pnpm": "8"

invokeai/frontend/web/public/locales/en.json

@@ -90,6 +90,7 @@
         "back": "Back",
         "batch": "Batch Manager",
         "beta": "Beta",
+        "board": "Board",
         "cancel": "Cancel",
         "close": "Close",
         "copy": "Copy",
@@ -187,7 +188,10 @@
         "values": "Values",
         "resetToDefaults": "Reset to Defaults",
         "seed": "Seed",
-        "combinatorial": "Combinatorial"
+        "combinatorial": "Combinatorial",
+        "layout": "Layout",
+        "row": "Row",
+        "column": "Column"
     },
     "hrf": {
         "hrf": "High Resolution Fix",
@@ -225,6 +229,8 @@
         "cancelTooltip": "Cancel Current Item",
         "cancelSucceeded": "Item Canceled",
         "cancelFailed": "Problem Canceling Item",
+        "retrySucceeded": "Item Retried",
+        "retryFailed": "Problem Retrying Item",
         "confirm": "Confirm",
         "prune": "Prune",
         "pruneTooltip": "Prune {{item_count}} Completed Items",
@@ -236,6 +242,7 @@
         "clearFailed": "Problem Clearing Queue",
         "cancelBatch": "Cancel Batch",
         "cancelItem": "Cancel Item",
+        "retryItem": "Retry Item",
         "cancelBatchSucceeded": "Batch Canceled",
         "cancelBatchFailed": "Problem Canceling Batch",
         "clearQueueAlertDialog": "Clearing the queue immediately cancels any processing items and clears the queue entirely. Pending filters will be canceled.",
@@ -305,6 +312,7 @@
     },
     "gallery": {
         "gallery": "Gallery",
+        "images": "Images",
         "assets": "Assets",
         "alwaysShowImageSizeBadge": "Always Show Image Size Badge",
         "assetsTab": "Files you’ve uploaded for use in your projects.",
@@ -875,11 +883,15 @@
         "parseString": "Parse String",
         "splitOn": "Split On",
         "noBatchGroup": "no group",
+        "generatorImagesCategory": "Category",
+        "generatorImages_one": "{{count}} image",
+        "generatorImages_other": "{{count}} images",
         "generatorNRandomValues_one": "{{count}} random value",
         "generatorNRandomValues_other": "{{count}} random values",
         "generatorNoValues": "empty",
         "generatorLoading": "loading",
         "generatorLoadFromFile": "Load from File",
+        "generatorImagesFromBoard": "Images from Board",
         "dynamicPromptsRandom": "Dynamic Prompts (Random)",
         "dynamicPromptsCombinatorial": "Dynamic Prompts (Combinatorial)",
         "addNode": "Add Node",
@@ -896,6 +908,8 @@
         "missingNode": "Missing invocation node",
         "missingInvocationTemplate": "Missing invocation template",
         "missingFieldTemplate": "Missing field template",
+        "missingSourceOrTargetNode": "Missing source or target node",
+        "missingSourceOrTargetHandle": "Missing source or target handle",
         "nodePack": "Node pack",
         "collection": "Collection",
         "singleFieldType": "{{name}} (Single)",
@@ -931,6 +945,7 @@
         "noWorkflows": "No Workflows",
         "noMatchingWorkflows": "No Matching Workflows",
         "noWorkflow": "No Workflow",
+        "unableToUpdateNode": "Node update failed: node {{node}} of type {{type}} (may require deleting and recreating)",
         "mismatchedVersion": "Invalid node: node {{node}} of type {{type}} has mismatched version (try updating?)",
         "missingTemplate": "Invalid node: node {{node}} of type {{type}} missing template (not installed?)",
         "sourceNodeDoesNotExist": "Invalid edge: source/output node {{node}} does not exist",
@@ -938,12 +953,14 @@
         "sourceNodeFieldDoesNotExist": "Invalid edge: source/output field {{node}}.{{field}} does not exist",
         "targetNodeFieldDoesNotExist": "Invalid edge: target/input field {{node}}.{{field}} does not exist",
         "deletedInvalidEdge": "Deleted invalid edge {{source}} -> {{target}}",
+        "deletedMissingNodeFieldFormElement": "Deleted missing form field: node {{nodeId}} field {{fieldName}}",
         "noConnectionInProgress": "No connection in progress",
         "node": "Node",
         "nodeOutputs": "Node Outputs",
         "nodeSearch": "Search for nodes",
         "nodeTemplate": "Node Template",
         "nodeType": "Node Type",
+        "nodeName": "Node Name",
         "noFieldsLinearview": "No fields added to Linear View",
         "noFieldsViewMode": "This workflow has no selected fields to display. View the full workflow to configure values.",
         "workflowHelpText": "Need Help? Check out our guide to <LinkComponent>Getting Started with Workflows</LinkComponent>.",
@@ -952,6 +969,7 @@
         "nodeVersion": "Node Version",
         "noOutputRecorded": "No outputs recorded",
         "notes": "Notes",
+        "description": "Description",
         "notesDescription": "Add notes about your workflow",
         "problemSettingTitle": "Problem Setting Title",
         "resetToDefaultValue": "Reset to default value",
@@ -961,6 +979,8 @@
         "newWorkflow": "New Workflow",
         "newWorkflowDesc": "Create a new workflow?",
         "newWorkflowDesc2": "Your current workflow has unsaved changes.",
+        "loadWorkflowDesc": "Load workflow?",
+        "loadWorkflowDesc2": "Your current workflow has unsaved changes.",
         "clearWorkflow": "Clear Workflow",
         "clearWorkflowDesc": "Clear this workflow and start a new one?",
         "clearWorkflowDesc2": "Your current workflow has unsaved changes.",
@@ -990,6 +1010,7 @@
         "unknownOutput": "Unknown output: {{name}}",
         "updateNode": "Update Node",
         "updateApp": "Update App",
+        "loadingTemplates": "Loading {{name}}",
         "updateAllNodes": "Update Nodes",
         "allNodesUpdated": "All Nodes Updated",
         "unableToUpdateNodes_one": "Unable to update {{count}} node",
@@ -1065,7 +1086,7 @@
             "emptyBatches": "empty batches",
             "batchNodeNotConnected": "Batch node not connected: {{label}}",
             "batchNodeEmptyCollection": "Some batch nodes have empty collections",
-            "invalidBatchConfigurationCannotCalculate": "Invalid batch configuration; cannot calculate",
+            "collectionEmpty": "empty collection",
             "collectionTooFewItems": "too few items, minimum {{minItems}}",
             "collectionTooManyItems": "too many items, maximum {{maxItems}}",
             "collectionStringTooLong": "too long, max {{maxLength}}",
@@ -1075,6 +1096,7 @@
             "collectionNumberGTExclusiveMax": "{{value}} >= {{exclusiveMaximum}} (exc max)",
             "collectionNumberLTExclusiveMin": "{{value}} <= {{exclusiveMinimum}} (exc min)",
             "collectionNumberNotMultipleOf": "{{value}} not multiple of {{multipleOf}}",
+            "batchNodeCollectionSizeMismatchNoGroupId": "Batch group collection size mismatch",
             "batchNodeCollectionSizeMismatch": "Collection size mismatch on Batch {{batchGroupId}}",
             "noModelSelected": "No model selected",
             "noT5EncoderModelSelected": "No T5 Encoder model selected for FLUX generation",
@@ -1694,7 +1716,34 @@
         "download": "Download",
         "copyShareLink": "Copy Share Link",
         "copyShareLinkForWorkflow": "Copy Share Link for Workflow",
-        "delete": "Delete"
+        "delete": "Delete",
+        "openLibrary": "Open Library",
+        "builder": {
+            "deleteAllElements": "Delete All Form Elements",
+            "resetAllNodeFields": "Reset All Node Fields",
+            "builder": "Form Builder",
+            "layout": "Layout",
+            "row": "Row",
+            "column": "Column",
+            "nodeField": "Node Field",
+            "zoomToNode": "Zoom to Node",
+            "nodeFieldTooltip": "To add a node field, click the small plus sign button on the field in the Workflow Editor, or drag the field by its name into the form.",
+            "addToForm": "Add to Form",
+            "label": "Label",
+            "showDescription": "Show Description",
+            "component": "Component",
+            "numberInput": "Number Input",
+            "singleLine": "Single Line",
+            "multiLine": "Multi Line",
+            "slider": "Slider",
+            "both": "Both",
+            "emptyRootPlaceholderViewMode": "Click Edit to start building a form for this workflow.",
+            "emptyRootPlaceholderEditMode": "Drag a form element or node field here to get started.",
+            "containerPlaceholder": "Empty Container",
+            "headingPlaceholder": "Empty Heading",
+            "textPlaceholder": "Empty Text",
+            "workflowBuilderAlphaWarning": "The workflow builder is currently in alpha. There may be breaking changes before the stable release."
+        }
     },
     "controlLayers": {
         "regional": "Regional",
@@ -2252,12 +2301,8 @@
     "whatsNew": {
         "whatsNewInInvoke": "What's New in Invoke",
         "items": [
-            "Improved VRAM setting defaults",
-            "On-demand model cache clearing",
-            "Expanded FLUX LoRA compatibility",
-            "Canvas Adjust Image filter",
-            "Cancel all but current queue item",
-            "Copy from and paste to Canvas"
+            "Workflow Editor: New drag-and-drop form builder for easier workflow creation.",
+            "Other improvements: Faster batch queuing, better upscaling, improved color picker, and metadata nodes."
         ],
         "readReleaseNotes": "Read Release Notes",
         "watchRecentReleaseVideos": "Watch Recent Release Videos",

invokeai/frontend/web/public/locales/fr.json

@@ -98,7 +98,22 @@
         "close": "Fermer",
         "clipboard": "Presse-papier",
         "loadingModel": "Chargement du modèle",
-        "generating": "En Génération"
+        "generating": "En Génération",
+        "warnings": "Alertes",
+        "layout": "Disposition",
+        "row": "Ligne",
+        "column": "Colonne",
+        "start": "Commencer",
+        "board": "Planche",
+        "count": "Quantité",
+        "step": "Étape",
+        "end": "Fin",
+        "min": "Min",
+        "max": "Max",
+        "values": "Valeurs",
+        "resetToDefaults": "Réinitialiser par défaut",
+        "seed": "Graine",
+        "combinatorial": "Combinatoire"
     },
     "gallery": {
         "galleryImageSize": "Taille de l'image",
@@ -165,7 +180,9 @@
         "imagesSettings": "Paramètres des images de la galerie",
         "assetsTab": "Fichiers que vous avez importés pour vos projets.",
         "imagesTab": "Images que vous avez créées et enregistrées dans Invoke.",
-        "boardsSettings": "Paramètres des planches"
+        "boardsSettings": "Paramètres des planches",
+        "assets": "Ressources",
+        "images": "Images"
     },
     "modelManager": {
         "modelManager": "Gestionnaire de modèle",
@@ -289,7 +306,7 @@
         "usingDefaultSettings": "Utilisation des paramètres par défaut du modèle",
         "defaultSettingsOutOfSync": "Certain paramètres ne correspondent pas aux valeurs par défaut du modèle :",
         "restoreDefaultSettings": "Cliquez pour utiliser les paramètres par défaut du modèle.",
-        "hfForbiddenErrorMessage": "Nous vous recommandons de visiter la page du modèle sur HuggingFace.com. Le propriétaire peut exiger l'acceptation des conditions pour pouvoir télécharger.",
+        "hfForbiddenErrorMessage": "Nous vous recommandons de visiter la page du modèle. Le propriétaire peut exiger l'acceptation des conditions pour pouvoir télécharger.",
         "hfTokenRequired": "Vous essayez de télécharger un modèle qui nécessite un token HuggingFace valide.",
         "clipLEmbed": "CLIP-L Embed",
         "hfTokenSaved": "Token HF enregistré",
@@ -303,7 +320,10 @@
         "hfForbidden": "Vous n'avez pas accès à ce modèle HF.",
         "hfTokenInvalidErrorMessage2": "Mettre à jour dans le ",
         "controlLora": "Controle LoRA",
-        "urlUnauthorizedErrorMessage2": "Découvrir comment ici."
+        "urlUnauthorizedErrorMessage2": "Découvrir comment ici.",
+        "urlUnauthorizedErrorMessage": "Vous devrez peut-être configurer un jeton API pour accéder à ce modèle.",
+        "urlForbidden": "Vous n'avez pas accès à ce modèle",
+        "urlForbiddenErrorMessage": "Vous devrez peut-être demander l'autorisation du site qui distribue le modèle."
     },
     "parameters": {
         "images": "Images",
@@ -345,19 +365,31 @@
             "fluxModelIncompatibleBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), la hauteur de la bounding box est {{height}}",
             "fluxModelIncompatibleScaledBboxHeight": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), la hauteur de la bounding box est {{height}}",
             "noFLUXVAEModelSelected": "Aucun modèle VAE sélectionné pour la génération FLUX",
-            "canvasIsTransforming": "La Toile se transforme",
-            "canvasIsRasterizing": "La Toile se rastérise",
+            "canvasIsTransforming": "La Toile est occupée (en transformation)",
+            "canvasIsRasterizing": "La Toile est occupée (en rastérisation)",
             "noCLIPEmbedModelSelected": "Aucun modèle CLIP Embed sélectionné pour la génération FLUX",
-            "canvasIsFiltering": "La Toile est en train de filtrer",
+            "canvasIsFiltering": "La Toile est occupée (en filtration)",
             "fluxModelIncompatibleBboxWidth": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), la largeur de la bounding box est {{width}}",
             "noT5EncoderModelSelected": "Aucun modèle T5 Encoder sélectionné pour la génération FLUX",
             "fluxModelIncompatibleScaledBboxWidth": "$t(parameters.invoke.fluxRequiresDimensionsToBeMultipleOf16), la largeur de la bounding box mise à l'échelle est {{width}}",
-            "canvasIsCompositing": "La toile est en train de composer",
-            "collectionTooFewItems": "{{nodeLabel}} -> {{fieldLabel}} : trop peu d'éléments, minimum {{minItems}}",
-            "collectionTooManyItems": "{{nodeLabel}} -> {{fieldLabel}} : trop d'éléments, maximum {{maxItems}}",
+            "canvasIsCompositing": "La Toile est occupée (en composition)",
+            "collectionTooFewItems": "trop peu d'éléments, minimum {{minItems}}",
+            "collectionTooManyItems": "trop d'éléments, maximum {{maxItems}}",
             "canvasIsSelectingObject": "La toile est occupée (sélection d'objet)",
             "emptyBatches": "lots vides",
-            "batchNodeNotConnected": "Noeud de lots non connecté : {{label}}"
+            "batchNodeNotConnected": "Noeud de lots non connecté : {{label}}",
+            "fluxModelMultipleControlLoRAs": "Vous ne pouvez utiliser qu'un seul Control LoRA à la fois",
+            "collectionNumberLTMin": "{{value}} < {{minimum}} (incl. min)",
+            "collectionNumberGTMax": "{{value}} > {{maximum}} (incl. max)",
+            "collectionNumberGTExclusiveMax": "{{value}} >= {{exclusiveMaximum}} (max exc)",
+            "batchNodeEmptyCollection": "Certains nœuds de lot ont des collections vides",
+            "batchNodeCollectionSizeMismatch": "Non-concordance de taille de collection sur le lot {{batchGroupId}}",
+            "collectionStringTooLong": "trop long, max {{maxLength}}",
+            "collectionNumberNotMultipleOf": "{{value}} n'est pas un multiple de {{multipleOf}}",
+            "collectionEmpty": "collection vide",
+            "collectionStringTooShort": "trop court, min {{minLength}}",
+            "collectionNumberLTExclusiveMin": "{{value}} <= {{exclusiveMinimum}} (min exc)",
+            "batchNodeCollectionSizeMismatchNoGroupId": "Taille de collection de groupe par lot non conforme"
         },
         "negativePromptPlaceholder": "Prompt Négatif",
         "positivePromptPlaceholder": "Prompt Positif",
@@ -501,7 +533,13 @@
         "uploadFailedInvalidUploadDesc_withCount_one": "Doit être au maximum une image PNG ou JPEG.",
         "uploadFailedInvalidUploadDesc_withCount_many": "Doit être au maximum {{count}} images PNG ou JPEG.",
         "uploadFailedInvalidUploadDesc_withCount_other": "Doit être au maximum {{count}} images PNG ou JPEG.",
-        "addedToUncategorized": "Ajouté aux ressources de la planche $t(boards.uncategorized)"
+        "addedToUncategorized": "Ajouté aux ressources de la planche $t(boards.uncategorized)",
+        "pasteSuccess": "Collé à {{destination}}",
+        "pasteFailed": "Échec du collage",
+        "outOfMemoryErrorDescLocal": "Suivez notre <LinkComponent>guide Low VRAM</LinkComponent> pour réduire les OOMs.",
+        "unableToCopy": "Incapable de Copier",
+        "unableToCopyDesc": "Votre navigateur ne prend pas en charge l'accès au presse-papiers. Les utilisateurs de Firefox peuvent peut-être résoudre ce problème en suivant ",
+        "unableToCopyDesc_theseSteps": "ces étapes"
     },
     "accessibility": {
         "uploadImage": "Importer une image",
@@ -659,7 +697,14 @@
         "iterations_many": "Itérations",
         "iterations_other": "Itérations",
         "back": "fin",
-        "batchSize": "Taille de lot"
+        "batchSize": "Taille de lot",
+        "retryFailed": "Problème de nouvelle tentative de l'élément",
+        "retrySucceeded": "Élément Retenté",
+        "retryItem": "Réessayer l'élement",
+        "cancelAllExceptCurrentQueueItemAlertDialog": "Annuler tous les éléments de la file d'attente, sauf celui en cours, arrêtera les éléments en attente mais permettra à celui en cours de se terminer.",
+        "cancelAllExceptCurrentQueueItemAlertDialog2": "Êtes-vous sûr de vouloir annuler tous les éléments en attente dans la file d'attente ?",
+        "cancelAllExceptCurrentTooltip": "Annuler tout sauf l'élément actuel",
+        "confirm": "Confirmer"
     },
     "prompt": {
         "noMatchingTriggers": "Pas de déclancheurs correspondants",
@@ -1031,7 +1076,9 @@
         "controlNetWeight": {
             "heading": "Poids",
             "paragraphs": [
-                "Poids du Control Adapter. Un poids plus élevé aura un impact plus important sur l'image finale."
+                "Poids du Control Adapter. Un poids plus élevé aura un impact plus important sur l'image finale.",
+                "• Poids plus élevé (.75-2) : Crée un impact plus significatif sur le résultat final.",
+                "• Poids inférieur (0-.75) : Crée un impact plus faible sur le résultat final."
             ]
         },
         "compositingMaskAdjustments": {
@@ -1076,8 +1123,9 @@
         "controlNetBeginEnd": {
             "heading": "Pourcentage de début / de fin d'étape",
             "paragraphs": [
-                "La partie du processus de débruitage à laquelle le Control Adapter sera appliqué.",
-                "En général, les Control Adapter appliqués au début du processus guident la composition, tandis que les Control Adapter appliqués à la fin guident les détails."
+                "Ce paramètre détérmine quelle portion du processus de débruitage (génération) utilisera cette couche comme guide.",
+                "En général, les Control Adapter appliqués au début du processus guident la composition, tandis que les Control Adapter appliqués à la fin guident les détails.",
+                "• Étape de fin (%): Spécifie quand arrêter d'appliquer le guide de cette couche et revenir aux guides généraux du modèle et aux autres paramètres."
             ]
         },
         "controlNetControlMode": {
@@ -1442,7 +1490,8 @@
         "showDynamicPrompts": "Afficher les Prompts dynamiques",
         "dynamicPrompts": "Prompts Dynamiques",
         "promptsPreview": "Prévisualisation des Prompts",
-        "loading": "Génération des Pompts Dynamiques..."
+        "loading": "Génération des Pompts Dynamiques...",
+        "promptsToGenerate": "Prompts à générer"
     },
     "metadata": {
         "positivePrompt": "Prompt Positif",
@@ -1653,7 +1702,22 @@
         "internalDesc": "Cette invocation est utilisée internalement par Invoke. En fonction des mises à jours il est possible que des changements y soit effectués ou qu'elle soit supprimé sans prévention.",
         "splitOn": "Diviser sur",
         "generatorNoValues": "vide",
-        "addItem": "Ajouter un élément"
+        "addItem": "Ajouter un élément",
+        "specialDesc": "Cette invocation nécessite un traitement spécial dans l'application. Par exemple, les nœuds Batch sont utilisés pour mettre en file d'attente plusieurs graphes à partir d'un seul workflow.",
+        "unableToUpdateNode": "La mise à jour du nœud a échoué : nœud {{node}} de type {{type}} (peut nécessiter la suppression et la recréation).",
+        "deletedMissingNodeFieldFormElement": "Champ de formulaire manquant supprimé : nœud {{nodeId}} champ {{fieldName}}",
+        "nodeName": "Nom du nœud",
+        "description": "Description",
+        "loadWorkflowDesc": "Charger le workflow ?",
+        "missingSourceOrTargetNode": "Nœud source ou cible manquant",
+        "generatorImagesCategory": "Catégorie",
+        "generatorImagesFromBoard": "Images de la Planche",
+        "missingSourceOrTargetHandle": "Manque de gestionnaire source ou cible",
+        "loadingTemplates": "Chargement de {{name}}",
+        "loadWorkflowDesc2": "Votre workflow actuel contient des modifications non enregistrées.",
+        "generatorImages_one": "{{count}} image",
+        "generatorImages_many": "{{count}} images",
+        "generatorImages_other": "{{count}} images"
     },
     "models": {
         "noMatchingModels": "Aucun modèle correspondant",
@@ -1712,13 +1776,41 @@
         "deleteWorkflow2": "Êtes-vous sûr de vouloir supprimer ce Workflow ? Cette action ne peut pas être annulé.",
         "download": "Télécharger",
         "copyShareLinkForWorkflow": "Copier le lien de partage pour le Workflow",
-        "delete": "Supprimer"
+        "delete": "Supprimer",
+        "builder": {
+            "component": "Composant",
+            "numberInput": "Entrée de nombre",
+            "slider": "Curseur",
+            "both": "Les deux",
+            "singleLine": "Ligne unique",
+            "multiLine": "Multi Ligne",
+            "headingPlaceholder": "En-tête vide",
+            "emptyRootPlaceholderEditMode": "Faites glisser un élément de formulaire ou un champ de nœud ici pour commencer.",
+            "emptyRootPlaceholderViewMode": "Cliquez sur Modifier pour commencer à créer un formulaire pour ce workflow.",
+            "containerPlaceholder": "Conteneur Vide",
+            "row": "Ligne",
+            "column": "Colonne",
+            "layout": "Mise en page",
+            "nodeField": "Champ de nœud",
+            "zoomToNode": "Zoomer sur le nœud",
+            "nodeFieldTooltip": "Pour ajouter un champ de nœud, cliquez sur le petit bouton plus sur le champ dans l'Éditeur de Workflow, ou faites glisser le champ par son nom dans le formulaire.",
+            "addToForm": "Ajouter au formulaire",
+            "label": "Étiquette",
+            "textPlaceholder": "Texte vide",
+            "builder": "Constructeur de Formulaire",
+            "resetAllNodeFields": "Réinitialiser tous les champs de nœud",
+            "deleteAllElements": "Supprimer tous les éléments de formulaire",
+            "workflowBuilderAlphaWarning": "Le constructeur de workflow est actuellement en version alpha. Il peut y avoir des changements majeurs avant la version stable.",
+            "showDescription": "Afficher la description"
+        },
+        "openLibrary": "Ouvrir la Bibliothèque"
     },
     "whatsNew": {
         "whatsNewInInvoke": "Quoi de neuf dans Invoke",
         "watchRecentReleaseVideos": "Regarder les vidéos des dernières versions",
         "items": [
-            "<StrongComponent>FLUX Guidage Régional (bêta)</StrongComponent> : Notre version bêta de FLUX Guidage Régional est en ligne pour le contrôle des prompt régionaux."
+            "<StrongComponent>FLUX Guidage Régional (bêta)</StrongComponent> : Notre version bêta de FLUX Guidage Régional est en ligne pour le contrôle des prompt régionaux.",
+            "Autres améliorations : mise en file d'attente par lots plus rapide, meilleur redimensionnement, sélecteur de couleurs amélioré et nœuds de métadonnées."
         ],
         "readReleaseNotes": "Notes de version",
         "watchUiUpdatesOverview": "Aperçu des mises à jour de l'interface utilisateur"
@@ -1832,7 +1924,49 @@
             "cancel": "Annuler",
             "advanced": "Avancé",
             "processingLayerWith": "Calque de traitement avec le filtre {{type}}.",
-            "forMoreControl": "Pour plus de contrôle, cliquez sur Avancé ci-dessous."
+            "forMoreControl": "Pour plus de contrôle, cliquez sur Avancé ci-dessous.",
+            "adjust_image": {
+                "b": "B (LAB)",
+                "blue": "Bleu (RGBA)",
+                "alpha": "Alpha (RGBA)",
+                "magenta": "Magenta (CMJN)",
+                "yellow": "Jaune (CMJN)",
+                "cb": "Cb (YCbCr)",
+                "cr": "Cr (YCbCr)",
+                "cyan": "Cyan (CMJN)",
+                "label": "Ajuster l'image",
+                "description": "Ajuste le canal sélectionné d'une image.",
+                "channel": "Canal",
+                "value_setting": "Valeur",
+                "scale_values": "Valeurs d'échelle",
+                "red": "Rouge (RGBA)",
+                "green": "Vert (RGBA)",
+                "black": "Noir (CMJN)",
+                "hue": "Teinte (HSV)",
+                "saturation": "Saturation (HSV)",
+                "value": "Valeur (HSV)",
+                "luminosity": "Luminosité (LAB)",
+                "a": "A (LAB)",
+                "y": "Y (YCbCr)"
+            },
+            "img_blur": {
+                "label": "Flou de l'image",
+                "blur_type": "Type de flou",
+                "box_type": "Boîte",
+                "description": "Floute la couche sélectionnée.",
+                "blur_radius": "Rayon",
+                "gaussian_type": "Gaussien"
+            },
+            "img_noise": {
+                "label": "Image de bruit",
+                "description": "Ajoute du bruit à la couche sélectionnée.",
+                "gaussian_type": "Gaussien",
+                "size": "Taille du bruit",
+                "noise_amount": "Quantité",
+                "noise_type": "Type de bruit",
+                "salt_and_pepper_type": "Sel et Poivre",
+                "noise_color": "Bruit coloré"
+            }
         },
         "canvasContextMenu": {
             "saveToGalleryGroup": "Enregistrer dans la galerie",
@@ -1846,7 +1980,10 @@
             "newGlobalReferenceImage": "Nouvelle image de référence globale",
             "newControlLayer": "Nouveau couche de contrôle",
             "newInpaintMask": "Nouveau Masque Inpaint",
-            "newRegionalGuidance": "Nouveau Guide Régional"
+            "newRegionalGuidance": "Nouveau Guide Régional",
+            "copyToClipboard": "Copier dans le presse-papiers",
+            "copyBboxToClipboard": "Copier Bbox dans le presse-papiers",
+            "copyCanvasToClipboard": "Copier la Toile dans le presse-papiers"
         },
         "bookmark": "Marque-page pour Changement Rapide",
         "saveLayerToAssets": "Enregistrer la couche dans les ressources",
@@ -2012,7 +2149,10 @@
             "ipAdapterMethod": "Méthode d'IP Adapter",
             "full": "Complet",
             "style": "Style uniquement",
-            "composition": "Composition uniquement"
+            "composition": "Composition uniquement",
+            "fullDesc": "Applique le style visuel (couleurs, textures) et la composition (mise en page, structure).",
+            "styleDesc": "Applique un style visuel (couleurs, textures) sans tenir compte de sa mise en page.",
+            "compositionDesc": "Réplique la mise en page et la structure tout en ignorant le style de la référence."
         },
         "fitBboxToLayers": "Ajuster la bounding box aux calques",
         "regionIsEmpty": "La zone sélectionnée est vide",
@@ -2095,7 +2235,40 @@
         "asRasterLayerResize": "En tant que $t(controlLayers.rasterLayer) (Redimensionner)",
         "asControlLayer": "En tant que $t(controlLayers.controlLayer)",
         "asControlLayerResize": "En $t(controlLayers.controlLayer) (Redimensionner)",
-        "newSession": "Nouvelle session"
+        "newSession": "Nouvelle session",
+        "warnings": {
+            "controlAdapterIncompatibleBaseModel": "modèle de base de la couche de contrôle incompatible",
+            "controlAdapterNoControl": "aucun contrôle sélectionné/dessiné",
+            "rgNoPromptsOrIPAdapters": "pas de textes d'instructions ni d'images de référence",
+            "rgAutoNegativeNotSupported": "Auto-négatif non pris en charge pour le modèle de base sélectionné",
+            "rgNoRegion": "aucune région dessinée",
+            "ipAdapterNoModelSelected": "aucun modèle d'image de référence sélectionné",
+            "rgReferenceImagesNotSupported": "Les images de référence régionales ne sont pas prises en charge pour le modèle de base sélectionné",
+            "problemsFound": "Problèmes trouvés",
+            "unsupportedModel": "couche non prise en charge pour le modèle de base sélectionné",
+            "rgNegativePromptNotSupported": "Prompt négatif non pris en charge pour le modèle de base sélectionné",
+            "ipAdapterIncompatibleBaseModel": "modèle de base d'image de référence incompatible",
+            "controlAdapterNoModelSelected": "aucun modèle de couche de contrôle sélectionné",
+            "ipAdapterNoImageSelected": "Aucune image de référence sélectionnée."
+        },
+        "pasteTo": "Coller vers",
+        "pasteToAssets": "Ressources",
+        "pasteToAssetsDesc": "Coller dans les ressources",
+        "pasteToBbox": "Bbox",
+        "regionCopiedToClipboard": "{{region}} Copié dans le presse-papiers",
+        "copyRegionError": "Erreur de copie {{region}}",
+        "pasteToCanvas": "Toile",
+        "errors": {
+            "unableToFindImage": "Impossible de trouver l'image",
+            "unableToLoadImage": "Impossible de charger l'image"
+        },
+        "referenceImageRegional": "Image de référence (régionale)",
+        "pasteToBboxDesc": "Nouvelle couche (dans Bbox)",
+        "pasteToCanvasDesc": "Nouvelle couche (dans la Toile)",
+        "useImage": "Utiliser l'image",
+        "pastedTo": "Collé à {{destination}}",
+        "referenceImageEmptyState": "<UploadButton>Séléctionner une image</UploadButton> ou faites glisser une image depuis la <GalleryButton>galerie</GalleryButton> sur cette couche pour commencer.",
+        "referenceImageGlobal": "Image de référence (Globale)"
     },
     "upscaling": {
         "exceedsMaxSizeDetails": "La limite maximale d'agrandissement est de {{maxUpscaleDimension}}x{{maxUpscaleDimension}} pixels. Veuillez essayer une image plus petite ou réduire votre sélection d'échelle.",
@@ -2175,7 +2348,8 @@
             "queue": "File d'attente",
             "events": "Événements",
             "metadata": "Métadonnées",
-            "gallery": "Galerie"
+            "gallery": "Galerie",
+            "dnd": "Glisser et déposer"
         },
         "logLevel": {
             "trace": "Trace",
@@ -2192,7 +2366,8 @@
         "toGetStarted": "Pour commencer, saisissez un prompt dans la boîte et cliquez sur <StrongComponent>Invoke</StrongComponent> pour générer votre première image. Sélectionnez un template de prompt pour améliorer les résultats. Vous pouvez choisir de sauvegarder vos images directement dans la <StrongComponent>Galerie</StrongComponent> ou de les modifier sur la <StrongComponent>Toile</StrongComponent>.",
         "gettingStartedSeries": "Vous souhaitez plus de conseils ? Consultez notre <LinkComponent>Série de démarrage</LinkComponent> pour des astuces sur l'exploitation du plein potentiel de l'Invoke Studio.",
         "noModelsInstalled": "Il semble qu'aucun modèle ne soit installé",
-        "toGetStartedLocal": "Pour commencer, assurez-vous de télécharger ou d'importer des modèles nécessaires pour exécuter Invoke. Ensuite, saisissez le prompt dans la boîte et cliquez sur <StrongComponent>Invoke</StrongComponent> pour générer votre première image. Sélectionnez un template de prompt pour améliorer les résultats. Vous pouvez choisir de sauvegarder vos images directement sur <StrongComponent>Galerie</StrongComponent> ou les modifier sur la <StrongComponent>Toile</StrongComponent>."
+        "toGetStartedLocal": "Pour commencer, assurez-vous de télécharger ou d'importer des modèles nécessaires pour exécuter Invoke. Ensuite, saisissez le prompt dans la boîte et cliquez sur <StrongComponent>Invoke</StrongComponent> pour générer votre première image. Sélectionnez un template de prompt pour améliorer les résultats. Vous pouvez choisir de sauvegarder vos images directement sur <StrongComponent>Galerie</StrongComponent> ou les modifier sur la <StrongComponent>Toile</StrongComponent>.",
+        "lowVRAMMode": "Pour de meilleures performances, suivez notre <LinkComponent>guide Low VRAM</LinkComponent>."
     },
     "upsell": {
         "shareAccess": "Partager l'accès",
@@ -2240,7 +2415,8 @@
                 "description": "Introduction à l'ajout d'images de référence et IP Adapters globaux."
             },
             "howDoIUseInpaintMasks": {
-                "title": "Comment utiliser les masques d'inpainting ?"
+                "title": "Comment utiliser les masques d'inpainting ?",
+                "description": "Comment appliquer des masques de retourche pour la correction et la variation d'image."
             },
             "creatingYourFirstImage": {
                 "title": "Créer votre première image",
@@ -2260,5 +2436,10 @@
         "studioSessionsDesc2": "Rejoignez notre <DiscordLink /> pour participer aux sessions en direct et poser vos questions. Les sessions sont ajoutée dans la playlist la semaine suivante.",
         "supportVideos": "Vidéos d'assistance",
         "controlCanvas": "Contrôler la toile"
+    },
+    "modelCache": {
+        "clear": "Effacer le cache du modèle",
+        "clearSucceeded": "Cache du modèle effacée",
+        "clearFailed": "Problème de nettoyage du cache du modèle"
     }
 }

invokeai/frontend/web/public/locales/it.json

@@ -699,7 +699,6 @@
             "batchNodeEmptyCollection": "Alcuni nodi lotto hanno raccolte vuote",
             "emptyBatches": "lotti vuoti",
             "batchNodeCollectionSizeMismatch": "Le dimensioni della raccolta nel Lotto {{batchGroupId}} non corrispondono",
-            "invalidBatchConfigurationCannotCalculate": "Configurazione lotto non valida; impossibile calcolare",
             "collectionStringTooShort": "troppo corto, minimo {{minLength}}",
             "collectionNumberNotMultipleOf": "{{value}} non è multiplo di {{multipleOf}}",
             "collectionNumberLTMin": "{{value}} < {{minimum}} (incr min)",
@@ -2174,7 +2173,11 @@
         "pasteToCanvas": "Tela",
         "pasteToCanvasDesc": "Nuovo livello (nella Tela)",
         "pastedTo": "Incollato su {{destination}}",
-        "regionCopiedToClipboard": "{{region}} Copiato negli appunti"
+        "regionCopiedToClipboard": "{{region}} Copiato negli appunti",
+        "errors": {
+            "unableToFindImage": "Impossibile trovare l'immagine",
+            "unableToLoadImage": "Impossibile caricare l'immagine"
+        }
     },
     "ui": {
         "tabs": {
@@ -2274,11 +2277,7 @@
         "watchUiUpdatesOverview": "Guarda le novità dell'interfaccia",
         "items": [
             "Impostazioni predefinite VRAM migliorate",
-            "Cancellazione della cache del modello su richiesta",
-            "Compatibilità estesa FLUX LoRA",
-            "Filtro Regola Immagine su Tela",
-            "Annulla tutto tranne l'elemento della coda corrente",
-            "Copia da e incolla sulla Tela"
+            "Cancellazione della cache del modello su richiesta"
         ]
     },
     "system": {

invokeai/frontend/web/public/locales/ja.json

@@ -32,29 +32,29 @@
         "learnMore": "もっと学ぶ",
         "random": "ランダム",
         "batch": "バッチマネージャー",
-        "advanced": "高度な設定",
+        "advanced": "高度",
         "created": "作成済",
         "green": "緑",
         "blue": "青",
         "alpha": "アルファ",
-        "outpaint": "アウトペイント",
+        "outpaint": "outpaint",
         "unknown": "不明",
         "updated": "更新済",
         "add": "追加",
-        "ai": "AI",
+        "ai": "ai",
         "copyError": "$t(gallery.copy) エラー",
         "data": "データ",
         "template": "テンプレート",
         "red": "赤",
         "or": "または",
-        "checkpoint": "チェックポイント",
+        "checkpoint": "Checkpoint",
         "direction": "方向",
         "simple": "シンプル",
         "save": "保存",
         "saveAs": "名前をつけて保存",
         "somethingWentWrong": "何かの問題が発生しました",
         "details": "詳細",
-        "inpaint": "インペイント",
+        "inpaint": "inpaint",
         "delete": "削除",
         "nextPage": "次のページ",
         "copy": "コピー",
@@ -70,12 +70,12 @@
         "unknownError": "未知のエラー",
         "orderBy": "並び順:",
         "enabled": "有効",
-        "notInstalled": "未インストール",
+        "notInstalled": "未 $t(common.installed)",
         "positivePrompt": "ポジティブプロンプト",
         "negativePrompt": "ネガティブプロンプト",
         "selected": "選択済み",
         "aboutDesc": "Invokeを業務で利用する場合はマークしてください:",
-        "beta": "ベータ",
+        "beta": "Beta",
         "disabled": "無効",
         "editor": "エディタ",
         "safetensors": "Safetensors",
@@ -93,7 +93,27 @@
         "reset": "リセット",
         "none": "なし",
         "new": "新規",
-        "close": "閉じる"
+        "close": "閉じる",
+        "warnings": "警告",
+        "dontShowMeThese": "次回から表示しない",
+        "goTo": "移動",
+        "generating": "生成中",
+        "loadingModel": "モデルをロード中",
+        "layout": "レイアウト",
+        "step": "ステップ",
+        "start": "開始",
+        "count": "回数",
+        "end": "終了",
+        "min": "最小",
+        "max": "最大",
+        "values": "値",
+        "resetToDefaults": "デフォルトに戻す",
+        "row": "行",
+        "column": "列",
+        "board": "ボード",
+        "seed": "シード",
+        "combinatorial": "組み合わせ",
+        "aboutHeading": "想像力をこの手に"
     },
     "gallery": {
         "galleryImageSize": "画像のサイズ",
@@ -109,7 +129,7 @@
         "currentlyInUse": "この画像は現在下記の機能を使用しています:",
         "drop": "ドロップ",
         "dropOrUpload": "$t(gallery.drop) またはアップロード",
-        "deleteImage_other": "画像を削除",
+        "deleteImage_other": "画像 {{count}} 枚を削除",
         "deleteImagePermanent": "削除された画像は復元できません。",
         "download": "ダウンロード",
         "unableToLoad": "ギャラリーをロードできません",
@@ -155,7 +175,12 @@
         "displayBoardSearch": "ボード検索",
         "displaySearch": "画像を検索",
         "boardsSettings": "ボード設定",
-        "imagesSettings": "ギャラリー画像設定"
+        "imagesSettings": "ギャラリー画像設定",
+        "selectAllOnPage": "ページ上のすべてを選択",
+        "images": "画像",
+        "assetsTab": "プロジェクトで使用するためにアップロードされたファイル。",
+        "imagesTab": "Invoke内で作成および保存された画像。",
+        "assets": "アセット"
     },
     "hotkeys": {
         "searchHotkeys": "ホットキーを検索",
@@ -180,44 +205,121 @@
         },
         "canvas": {
             "redo": {
-                "title": "やり直し"
+                "title": "やり直し",
+                "desc": "最後のキャンバス操作をやり直します。"
             },
             "transformSelected": {
-                "title": "変形"
+                "title": "変形",
+                "desc": "選択したレイヤーを変形します。"
             },
             "undo": {
-                "title": "取り消し"
+                "title": "取り消し",
+                "desc": "最後のキャンバス操作を取り消します。"
             },
             "selectEraserTool": {
-                "title": "消しゴムツール"
+                "title": "消しゴムツール",
+                "desc": "消しゴムツールを選択します。"
             },
             "cancelTransform": {
-                "title": "変形をキャンセル"
+                "title": "変形をキャンセル",
+                "desc": "保留中の変形をキャンセルします。"
             },
             "resetSelected": {
-                "title": "レイヤーをリセット"
+                "title": "レイヤーをリセット",
+                "desc": "選択したレイヤーをリセットします。この操作はInpaint MaskおよびRegional Guidanceにのみ適用されます。"
             },
             "applyTransform": {
-                "title": "変形を適用"
+                "title": "変形を適用",
+                "desc": "保留中の変形を選択したレイヤーに適用します。"
             },
             "selectColorPickerTool": {
-                "title": "スポイトツール"
+                "title": "スポイトツール",
+                "desc": "スポイトツールを選択します。"
             },
             "fitBboxToCanvas": {
-                "title": "バウンディングボックスをキャンバスにフィット"
+                "title": "バウンディングボックスをキャンバスにフィット",
+                "desc": "バウンディングボックスがキャンバスに収まるように表示を拡大、位置調整します。"
             },
             "selectBrushTool": {
-                "title": "ブラシツール"
+                "title": "ブラシツール",
+                "desc": "ブラシツールを選択します。"
             },
             "selectMoveTool": {
-                "title": "移動ツール"
+                "title": "移動ツール",
+                "desc": "移動ツールを選択します。"
             },
             "selectBboxTool": {
-                "title": "バウンディングボックスツール"
+                "title": "バウンディングボックスツール",
+                "desc": "バウンディングボックスツールを選択します。"
             },
             "title": "キャンバス",
             "fitLayersToCanvas": {
-                "title": "レイヤーをキャンバスにフィット"
+                "title": "レイヤーをキャンバスにフィット",
+                "desc": "すべての表示レイヤーがキャンバスに収まるように表示を拡大、位置調整します。"
+            },
+            "setZoomTo400Percent": {
+                "desc": "キャンバスのズームを400%に設定します。",
+                "title": "400%にズーム"
+            },
+            "setZoomTo800Percent": {
+                "title": "800%にズーム",
+                "desc": "キャンバスのズームを800%に設定します。"
+            },
+            "quickSwitch": {
+                "title": "レイヤーのクイックスイッチ",
+                "desc": "最後に選択した2つのレイヤー間を切り替えます。レイヤーがブックマークされている場合、常にそのレイヤーと最後に選択したブックマークされていないレイヤーの間を切り替えます。"
+            },
+            "nextEntity": {
+                "title": "次のレイヤー",
+                "desc": "リスト内の次のレイヤーを選択します。"
+            },
+            "filterSelected": {
+                "title": "フィルター",
+                "desc": "選択したレイヤーをフィルターします。RasterおよびControlレイヤーにのみ適用されます。"
+            },
+            "prevEntity": {
+                "desc": "リスト内の前のレイヤーを選択します。",
+                "title": "前のレイヤー"
+            },
+            "setFillToWhite": {
+                "title": "ツール色を白に設定",
+                "desc": "現在のツールの色を白色に設定します。"
+            },
+            "selectViewTool": {
+                "title": "表示ツール",
+                "desc": "表示ツールを選択します。"
+            },
+            "setZoomTo100Percent": {
+                "title": "100%にズーム",
+                "desc": "キャンバスのズームを100%に設定します。"
+            },
+            "deleteSelected": {
+                "desc": "選択したレイヤーを削除します。",
+                "title": "レイヤーを削除"
+            },
+            "cancelFilter": {
+                "desc": "保留中のフィルターをキャンセルします。",
+                "title": "フィルターをキャンセル"
+            },
+            "applyFilter": {
+                "title": "フィルターを適用",
+                "desc": "保留中のフィルターを選択したレイヤーに適用します。"
+            },
+            "setZoomTo200Percent": {
+                "title": "200%にズーム",
+                "desc": "キャンバスのズームを200%に設定します。"
+            },
+            "decrementToolWidth": {
+                "title": "ツール幅を縮小する",
+                "desc": "選択中のブラシまたは消しゴムツールの幅を減少させます。"
+            },
+            "incrementToolWidth": {
+                "desc": "選択中のブラシまたは消しゴムツールの幅を増加させます。",
+                "title": "ツール幅を増加する"
+            },
+            "selectRectTool": {
+                "title": "矩形ツール",
+                "desc": "矩形ツールを選択します。"
             }
         },
         "workflows": {
@@ -226,6 +328,13 @@
             },
             "redo": {
                 "title": "やり直し"
+            },
+            "title": "ワークフロー",
+            "pasteSelection": {
+                "title": "ペースト"
+            },
+            "copySelection": {
+                "title": "コピー"
             }
         },
         "app": {
@@ -235,16 +344,62 @@
             },
             "title": "アプリケーション",
             "invoke": {
-                "title": "Invoke"
+                "title": "生成",
+                "desc": "生成をキューに追加し、キューの末尾に加えます。"
             },
             "cancelQueueItem": {
-                "title": "キャンセル"
+                "title": "キャンセル",
+                "desc": "現在処理中のキュー項目をキャンセルします。"
             },
             "clearQueue": {
-                "title": "キューをクリア"
+                "title": "キューをクリア",
+                "desc": "すべてのキュー項目をキャンセルして消去します。"
+            },
+            "selectCanvasTab": {
+                "desc": "キャンバスタブを選択します。",
+                "title": "キャンバスタブを選択"
+            },
+            "selectUpscalingTab": {
+                "desc": "アップスケーリングタブを選択します。",
+                "title": "アップスケーリングタブを選択"
+            },
+            "toggleRightPanel": {
+                "desc": "右パネルを表示または非表示。",
+                "title": "右パネルをトグル"
+            },
+            "selectModelsTab": {
+                "title": "モデルタブを選択",
+                "desc": "モデルタブを選択します。"
+            },
+            "invokeFront": {
+                "desc": "生成をキューに追加し、キューの先頭に加えます。",
+                "title": "生成（先頭）"
+            },
+            "resetPanelLayout": {
+                "title": "パネルレイアウトをリセット",
+                "desc": "左パネルと右パネルをデフォルトのサイズとレイアウトにリセットします。"
+            },
+            "togglePanels": {
+                "desc": "左パネルと右パネルを合わせて表示または非表示。",
+                "title": "パネルをトグル"
+            },
+            "selectWorkflowsTab": {
+                "desc": "ワークフロータブを選択します。",
+                "title": "ワークフロータブを選択"
+            },
+            "selectQueueTab": {
+                "title": "キュータブを選択",
+                "desc": "キュータブを選択します。"
+            },
+            "focusPrompt": {
+                "title": "プロンプトにフォーカス",
+                "desc": "カーソルをポジティブプロンプト欄に移動します。"
             }
         },
-        "hotkeys": "ホットキー"
+        "hotkeys": "ホットキー",
+        "gallery": {
+            "title": "ギャラリー"
+        }
     },
     "modelManager": {
         "modelManager": "モデルマネージャ",
@@ -255,13 +410,13 @@
         "name": "名前",
         "description": "概要",
         "config": "コンフィグ",
-        "repo_id": "Repo ID",
+        "repo_id": "リポジトリID",
         "width": "幅",
         "height": "高さ",
         "addModel": "モデルを追加",
         "availableModels": "モデルを有効化",
         "search": "検索",
-        "load": "Load",
+        "load": "ロード",
         "active": "active",
         "selected": "選択済",
         "delete": "削除",
@@ -281,7 +436,7 @@
         "modelConverted": "モデル変換が完了しました",
         "predictionType": "予測タイプ（SD 2.x モデルおよび一部のSD 1.x モデル用）",
         "selectModel": "モデルを選択",
-        "advanced": "高度な設定",
+        "advanced": "高度",
         "modelDeleted": "モデルが削除されました",
         "convertToDiffusersHelpText2": "このプロセスでは、モデルマネージャーのエントリーを同じモデルのディフューザーバージョンに置き換えます。",
         "modelUpdateFailed": "モデル更新が失敗しました",
@@ -294,7 +449,20 @@
         "convertToDiffusersHelpText4": "これは一回限りのプロセスです。コンピュータの仕様によっては、約30秒から60秒かかる可能性があります。",
         "cancel": "キャンセル",
         "uploadImage": "画像をアップロード",
-        "addModels": "モデルを追加"
+        "addModels": "モデルを追加",
+        "modelName": "モデル名",
+        "source": "ソース",
+        "path": "パス",
+        "modelSettings": "モデル設定",
+        "vae": "VAE",
+        "huggingFace": "HuggingFace",
+        "huggingFaceRepoID": "HuggingFace リポジトリID",
+        "metadata": "メタデータ",
+        "loraModels": "LoRA",
+        "edit": "編集",
+        "install": "インストール",
+        "huggingFacePlaceholder": "owner/model-name",
+        "variant": "Variant"
     },
     "parameters": {
         "images": "画像",
@@ -305,7 +473,7 @@
         "shuffle": "シャッフル",
         "strength": "強度",
         "upscaling": "アップスケーリング",
-        "scale": "Scale",
+        "scale": "スケール",
         "scaleBeforeProcessing": "処理前のスケール",
         "scaledWidth": "幅のスケール",
         "scaledHeight": "高さのスケール",
@@ -314,7 +482,7 @@
         "useSeed": "シード値を使用",
         "useAll": "すべてを使用",
         "info": "情報",
-        "showOptionsPanel": "オプションパネルを表示",
+        "showOptionsPanel": "サイドパネルを表示 (O or T)",
         "iterations": "生成回数",
         "general": "基本設定",
         "setToOptimalSize": "サイズをモデルに最適化",
@@ -328,16 +496,29 @@
         "useSize": "サイズを使用",
         "postProcessing": "ポストプロセス (Shift + U)",
         "denoisingStrength": "ノイズ除去強度",
-        "recallMetadata": "メタデータを再使用"
+        "recallMetadata": "メタデータを再使用",
+        "copyImage": "画像をコピー",
+        "positivePromptPlaceholder": "ポジティブプロンプト",
+        "negativePromptPlaceholder": "ネガティブプロンプト",
+        "type": "タイプ",
+        "cancel": {
+            "cancel": "キャンセル"
+        },
+        "cfgScale": "CFGスケール",
+        "tileSize": "タイルサイズ",
+        "coherenceMode": "モード"
     },
     "settings": {
         "models": "モデル",
-        "displayInProgress": "生成中の画像を表示する",
+        "displayInProgress": "生成中の画像を表示",
         "confirmOnDelete": "削除時に確認",
         "resetWebUI": "WebUIをリセット",
         "resetWebUIDesc1": "WebUIのリセットは、画像と保存された設定のキャッシュをリセットするだけです。画像を削除するわけではありません。",
         "resetWebUIDesc2": "もしギャラリーに画像が表示されないなど、何か問題が発生した場合はGitHubにissueを提出する前にリセットを試してください。",
-        "resetComplete": "WebUIはリセットされました。F5を押して再読み込みしてください。"
+        "resetComplete": "WebUIはリセットされました。",
+        "ui": "ユーザーインターフェイス",
+        "beta": "ベータ",
+        "developer": "開発者"
     },
     "toast": {
         "uploadFailed": "アップロード失敗",
@@ -345,7 +526,8 @@
         "imageUploadFailed": "画像のアップロードに失敗しました",
         "uploadFailedInvalidUploadDesc": "画像はPNGかJPGである必要があります。",
         "sentToUpscale": "アップスケーラーに転送しました",
-        "imageUploaded": "画像をアップロードしました"
+        "imageUploaded": "画像をアップロードしました",
+        "serverError": "サーバーエラー"
     },
     "accessibility": {
         "invokeProgressBar": "進捗バー",
@@ -356,7 +538,7 @@
         "menu": "メニュー",
         "createIssue": "問題を報告",
         "resetUI": "$t(accessibility.reset) UI",
-        "mode": "モード:",
+        "mode": "モード",
         "about": "Invoke について",
         "submitSupportTicket": "サポート依頼を送信する",
         "uploadImages": "画像をアップロード",
@@ -373,7 +555,20 @@
         "positivePrompt": "ポジティブプロンプト",
         "strength": "Image to Image 強度",
         "recallParameters": "パラメータを再使用",
-        "recallParameter": "{{label}} を再使用"
+        "recallParameter": "{{label}} を再使用",
+        "imageDimensions": "画像サイズ",
+        "imageDetails": "画像の詳細",
+        "model": "モデル",
+        "allPrompts": "すべてのプロンプト",
+        "cfgScale": "CFGスケール",
+        "createdBy": "作成:",
+        "metadata": "メタデータ",
+        "height": "高さ",
+        "negativePrompt": "ネガティブプロンプト",
+        "generationMode": "生成モード",
+        "vae": "VAE",
+        "cfgRescaleMultiplier": "$t(parameters.cfgRescaleMultiplier)",
+        "canvasV2Metadata": "キャンバス"
     },
     "queue": {
         "queueEmpty": "キューが空です",
@@ -405,7 +600,7 @@
         "batchQueuedDesc_other": "{{count}} セッションをキューの{{direction}}に追加しました",
         "graphQueued": "グラフをキューに追加しました",
         "batch": "バッチ",
-        "clearQueueAlertDialog": "キューをクリアすると、処理中のアイテムは直ちにキャンセルされ、キューは完全にクリアされます。",
+        "clearQueueAlertDialog": "キューをクリアすると、処理中の項目は直ちにキャンセルされ、キューは完全にクリアされます。保留中のフィルターもキャンセルされます。",
         "pending": "保留中",
         "resumeFailed": "処理の再開に問題があります",
         "clear": "クリア",
@@ -423,7 +618,7 @@
         "enqueueing": "バッチをキューに追加",
         "cancelBatchFailed": "バッチのキャンセルに問題があります",
         "clearQueueAlertDialog2": "キューをクリアしてもよろしいですか？",
-        "item": "アイテム",
+        "item": "項目",
         "graphFailedToQueue": "グラフをキューに追加できませんでした",
         "batchFieldValues": "バッチの詳細",
         "openQueue": "キューを開く",
@@ -439,7 +634,17 @@
         "upscaling": "アップスケール",
         "generation": "生成",
         "other": "その他",
-        "gallery": "ギャラリー"
+        "gallery": "ギャラリー",
+        "cancelAllExceptCurrentQueueItemAlertDialog2": "すべての保留中のキュー項目をキャンセルしてもよいですか？",
+        "cancelAllExceptCurrentTooltip": "現在の項目を除いてすべてキャンセル",
+        "origin": "先頭",
+        "destination": "宛先",
+        "confirm": "確認",
+        "retryItem": "項目をリトライ",
+        "batchSize": "バッチサイズ",
+        "retryFailed": "項目のリトライに問題があります",
+        "cancelAllExceptCurrentQueueItemAlertDialog": "現在の項目を除くすべてのキュー項目をキャンセルすると、保留中の項目は停止しますが、進行中の項目は完了します。",
+        "retrySucceeded": "項目がリトライされました"
     },
     "models": {
         "noMatchingModels": "一致するモデルがありません",
@@ -448,13 +653,14 @@
         "noModelsAvailable": "使用可能なモデルがありません",
         "selectModel": "モデルを選択してください",
         "concepts": "コンセプト",
-        "addLora": "LoRAを追加"
+        "addLora": "LoRAを追加",
+        "lora": "LoRA"
     },
     "nodes": {
         "addNode": "ノードを追加",
         "boolean": "ブーリアン",
         "addNodeToolTip": "ノードを追加 (Shift+A, Space)",
-        "missingTemplate": "テンプレートが見つかりません",
+        "missingTemplate": "Invalid node: タイプ {{type}} のノード {{node}} にテンプレートがありません（未インストール？）",
         "loadWorkflow": "ワークフローを読み込み",
         "hideLegendNodes": "フィールドタイプの凡例を非表示",
         "float": "浮動小数点",
@@ -465,7 +671,7 @@
         "currentImageDescription": "ノードエディタ内の現在の画像を表示",
         "downloadWorkflow": "ワークフローのJSONをダウンロード",
         "fieldTypesMustMatch": "フィールドタイプが一致している必要があります",
-        "edge": "輪郭",
+        "edge": "エッジ",
         "animatedEdgesHelp": "選択したエッジおよび選択したノードに接続されたエッジをアニメーション化します",
         "cannotDuplicateConnection": "重複した接続は作れません",
         "noWorkflow": "ワークフローがありません",
@@ -484,7 +690,20 @@
         "cannotConnectToSelf": "自身のノードには接続できません",
         "colorCodeEdges": "カラー-Code Edges",
         "loadingNodes": "ノードを読み込み中...",
-        "scheduler": "スケジューラー"
+        "scheduler": "スケジューラー",
+        "version": "バージョン",
+        "edit": "編集",
+        "nodeVersion": "ノードバージョン",
+        "workflowTags": "タグ",
+        "string": "文字列",
+        "workflowVersion": "バージョン",
+        "workflowAuthor": "作者",
+        "ipAdapter": "IP-Adapter",
+        "notes": "ノート",
+        "workflow": "ワークフロー",
+        "workflowName": "名前",
+        "workflowNotes": "ノート",
+        "enum": "Enum"
     },
     "boards": {
         "autoAddBoard": "自動追加するボード",
@@ -506,7 +725,7 @@
         "deleteBoard": "ボードの削除",
         "deleteBoardAndImages": "ボードと画像の削除",
         "deleteBoardOnly": "ボードのみ削除",
-        "deletedBoardsCannotbeRestored": "削除されたボードは復元できません",
+        "deletedBoardsCannotbeRestored": "削除されたボードは復元できません。\"ボードのみ削除\"を選択すると画像は未分類に移動されます。",
         "movingImagesToBoard_other": "{{count}} の画像をボードに移動:",
         "hideBoards": "ボードを隠す",
         "assetsWithCount_other": "{{count}} のアセット",
@@ -518,7 +737,12 @@
         "archiveBoard": "ボードをアーカイブ",
         "archived": "アーカイブ完了",
         "unarchiveBoard": "アーカイブされていないボード",
-        "imagesWithCount_other": "{{count}} の画像"
+        "imagesWithCount_other": "{{count}} の画像",
+        "updateBoardError": "ボード更新エラー",
+        "selectedForAutoAdd": "自動追加に選択済み",
+        "deletedPrivateBoardsCannotbeRestored": "削除されたボードは復元できません。\"ボードのみ削除\"を選択すると画像はその作成者のプライベートな未分類に移動されます。",
+        "noBoards": "{{boardType}} ボードがありません",
+        "viewBoards": "ボードを表示"
     },
     "invocationCache": {
         "invocationCache": "呼び出しキャッシュ",
@@ -570,6 +794,57 @@
         },
         "paramAspect": {
             "heading": "縦横比"
+        },
+        "refinerSteps": {
+            "heading": "ステップ"
+        },
+        "paramVAE": {
+            "heading": "VAE"
+        },
+        "scale": {
+            "heading": "スケール"
+        },
+        "refinerScheduler": {
+            "heading": "スケジューラー"
+        },
+        "compositingCoherenceMode": {
+            "heading": "モード"
+        },
+        "paramModel": {
+            "heading": "モデル"
+        },
+        "paramHeight": {
+            "heading": "高さ"
+        },
+        "paramSteps": {
+            "heading": "ステップ"
+        },
+        "ipAdapterMethod": {
+            "heading": "モード"
+        },
+        "paramSeed": {
+            "heading": "シード"
+        },
+        "paramIterations": {
+            "heading": "生成回数"
+        },
+        "controlNet": {
+            "heading": "ControlNet"
+        },
+        "paramWidth": {
+            "heading": "幅"
+        },
+        "lora": {
+            "heading": "LoRA"
+        },
+        "loraWeight": {
+            "heading": "重み"
+        },
+        "patchmatchDownScaleSize": {
+            "heading": "Downscale"
+        },
+        "controlNetWeight": {
+            "heading": "重み"
         }
     },
     "accordions": {
@@ -579,7 +854,8 @@
             "coherenceTab": "コヒーレンスパス"
         },
         "advanced": {
-            "title": "高度な設定"
+            "title": "高度",
+            "options": "$t(accordions.advanced.title) オプション"
         },
         "control": {
             "title": "コントロール"
@@ -608,7 +884,11 @@
     },
     "ui": {
         "tabs": {
-            "queue": "キュー"
+            "queue": "キュー",
+            "canvas": "キャンバス",
+            "workflows": "ワークフロー",
+            "models": "モデル",
+            "gallery": "ギャラリー"
         }
     },
     "controlLayers": {
@@ -623,7 +903,8 @@
             "bboxGroup": "バウンディングボックスから作成",
             "cropCanvasToBbox": "キャンバスをバウンディングボックスでクロップ",
             "newGlobalReferenceImage": "新規全域参照画像",
-            "newRegionalReferenceImage": "新規領域参照画像"
+            "newRegionalReferenceImage": "新規領域参照画像",
+            "canvasGroup": "キャンバス"
         },
         "regionalGuidance": "領域ガイダンス",
         "globalReferenceImage": "全域参照画像",
@@ -644,7 +925,8 @@
             "brush": "ブラシ",
             "rectangle": "矩形",
             "move": "移動",
-            "eraser": "消しゴム"
+            "eraser": "消しゴム",
+            "bbox": "Bbox"
         },
         "saveCanvasToGallery": "キャンバスをギャラリーに保存",
         "saveBboxToGallery": "バウンディングボックスをギャラリーへ保存",
@@ -662,7 +944,27 @@
         "canvas": "キャンバス",
         "fitBboxToLayers": "バウンディングボックスをレイヤーにフィット",
         "removeBookmark": "ブックマークを外す",
-        "savedToGalleryOk": "ギャラリーに保存しました"
+        "savedToGalleryOk": "ギャラリーに保存しました",
+        "controlMode": {
+            "prompt": "プロンプト"
+        },
+        "prompt": "プロンプト",
+        "settings": {
+            "snapToGrid": {
+                "off": "オフ",
+                "on": "オン"
+            }
+        },
+        "filter": {
+            "filter": "フィルター",
+            "spandrel_filter": {
+                "model": "モデル"
+            },
+            "apply": "適用",
+            "reset": "リセット",
+            "cancel": "キャンセル"
+        },
+        "weight": "重み"
     },
     "stylePresets": {
         "clearTemplateSelection": "選択したテンプレートをクリア",
@@ -674,15 +976,54 @@
         "createPromptTemplate": "プロンプトテンプレートを作成",
         "promptTemplateCleared": "プロンプトテンプレートをクリアしました",
         "searchByName": "名前で検索",
-        "toggleViewMode": "表示モードを切り替え"
+        "toggleViewMode": "表示モードを切り替え",
+        "negativePromptColumn": "'negative_prompt'",
+        "preview": "プレビュー",
+        "nameColumn": "'name'",
+        "type": "タイプ",
+        "private": "プライベート",
+        "name": "名称"
     },
     "upscaling": {
         "upscaleModel": "アップスケールモデル",
         "postProcessingModel": "ポストプロセスモデル",
-        "upscale": "アップスケール"
+        "upscale": "アップスケール",
+        "scale": "スケール"
     },
     "sdxl": {
         "denoisingStrength": "ノイズ除去強度",
-        "scheduler": "スケジューラー"
+        "scheduler": "スケジューラー",
+        "loading": "ロード中...",
+        "steps": "ステップ",
+        "refiner": "Refiner"
+    },
+    "modelCache": {
+        "clear": "モデルキャッシュを消去",
+        "clearSucceeded": "モデルキャッシュを消去しました",
+        "clearFailed": "モデルキャッシュの消去中に問題が発生"
+    },
+    "workflows": {
+        "workflows": "ワークフロー",
+        "ascending": "昇順",
+        "name": "名前",
+        "descending": "降順"
+    },
+    "system": {
+        "logNamespaces": {
+            "system": "システム",
+            "gallery": "ギャラリー",
+            "workflows": "ワークフロー",
+            "models": "モデル",
+            "canvas": "キャンバス",
+            "metadata": "メタデータ",
+            "queue": "キュー"
+        },
+        "logLevel": {
+            "debug": "Debug",
+            "info": "Info",
+            "error": "Error",
+            "fatal": "Fatal",
+            "warn": "Warn"
+        }
     }
 }

invokeai/frontend/web/public/locales/vi.json

@@ -63,7 +63,7 @@
         "compareImage": "So Sánh Ảnh",
         "compareHelp4": "Nhấn <Kbd>Z</Kbd> hoặc <Kbd>Esc</Kbd> để thoát.",
         "compareHelp3": "Nhấn <Kbd>C</Kbd> để đổi ảnh được so sánh.",
-        "compareHelp1": "Giữ <Kbd>Alt</Kbd> khi bấm vào ảnh trong thư viện hoặc dùng phím mũi tên để đổi ảnh dùng cho so sánh.",
+        "compareHelp1": "Giữ <Kbd>Alt</Kbd> khi bấm vào ảnh trong thư viện ảnh hoặc dùng phím mũi tên để đổi ảnh dùng cho so sánh.",
         "showArchivedBoards": "Hiển Thị Bảng Được Lưu Trữ",
         "drop": "Thả",
         "copy": "Sao Chép",
@@ -76,11 +76,11 @@
         "deleteImagePermanent": "Ảnh đã xoá không thể phục hồi.",
         "exitSearch": "Thoát Tìm Kiếm Hình Ảnh",
         "exitBoardSearch": "Thoát Tìm Kiểm Bảng",
-        "gallery": "Thư Viện",
+        "gallery": "Thư Viện Ảnh",
         "galleryImageSize": "Kích Thước Ảnh",
         "downloadSelection": "Tải xuống Phần Được Lựa Chọn",
         "bulkDownloadRequested": "Chuẩn Bị Tải Xuống",
-        "unableToLoad": "Không Thể Tải Thư viện",
+        "unableToLoad": "Không Thể Tải Thư viện Ảnh",
         "newestFirst": "Mới Nhất Trước",
         "showStarredImagesFirst": "Hiển Thị Ảnh Gắn Sao Trước",
         "bulkDownloadRequestedDesc": "Yêu cầu tải xuống đang được chuẩn bị. Vui lòng chờ trong giây lát.",
@@ -103,7 +103,7 @@
         "displaySearch": "Tìm Kiếm Hình Ảnh",
         "selectAnImageToCompare": "Chọn Ảnh Để So Sánh",
         "slider": "Thanh Trượt",
-        "gallerySettings": "Cài Đặt Thư Viện",
+        "gallerySettings": "Cài Đặt Thư Viện Ảnh",
         "image": "hình ảnh",
         "noImageSelected": "Không Có Ảnh Được Chọn",
         "noImagesInGallery": "Không Có Ảnh Để Hiển Thị",
@@ -117,7 +117,7 @@
         "unstarImage": "Ngừng Gắn Sao Cho Ảnh",
         "compareHelp2": "Nhấn <Kbd>M</Kbd> để tuần hoàn trong chế độ so sánh.",
         "boardsSettings": "Thiết Lập Bảng",
-        "imagesSettings": "Cài Đặt Thư Viện Ảnh",
+        "imagesSettings": "Cài Đặt Ảnh Trong Thư Viện Ảnh",
         "assets": "Tài Nguyên"
     },
     "common": {
@@ -230,7 +230,10 @@
         "max": "Tối Đa",
         "resetToDefaults": "Đặt Lại Về Mặc Định",
         "seed": "Hạt Giống",
-        "combinatorial": "Tổ Hợp"
+        "combinatorial": "Tổ Hợp",
+        "column": "Cột",
+        "layout": "Bố Cục",
+        "row": "Hàng"
     },
     "prompt": {
         "addPromptTrigger": "Thêm Prompt Trigger",
@@ -285,7 +288,7 @@
         "cancelBatch": "Huỷ Bỏ Lô",
         "status": "Trạng Thái",
         "pending": "Đang Chờ",
-        "gallery": "Thư Viện",
+        "gallery": "Thư Viện Ảnh",
         "front": "trước",
         "batch": "Lô",
         "origin": "Nguồn Gốc",
@@ -305,10 +308,13 @@
         "graphQueued": "Đồ Thị Đã Vào Hàng",
         "batchQueuedDesc_other": "Thêm {{count}} phiên vào {{direction}} của hàng",
         "batchSize": "Kích Thước Lô",
-        "cancelAllExceptCurrentQueueItemAlertDialog": "Huỷ tất cả mục đang xếp hàng ngoại trừ mục hiện tại, sẽ dừng các mục đang chờ nhưng cho phép các mục đang chạy được hoàn tất.",
+        "cancelAllExceptCurrentQueueItemAlertDialog": "Huỷ tất cả mục đang xếp hàng ngoại trừ việc nó sẽ dừng các mục đang chờ nhưng cho phép các mục đang chạy được hoàn tất.",
         "cancelAllExceptCurrentQueueItemAlertDialog2": "Bạn có chắc muốn huỷ tất cả mục đang chờ?",
         "cancelAllExceptCurrentTooltip": "Huỷ Bỏ Tất Cả Ngoại Trừ Mục Hiện Tại",
-        "confirm": "Đồng Ý"
+        "confirm": "Đồng Ý",
+        "retrySucceeded": "Mục Đã Thử Lại",
+        "retryFailed": "Có Vấn Đề Khi Thử Lại Mục",
+        "retryItem": "Thử Lại Mục"
     },
     "hotkeys": {
         "canvas": {
@@ -514,16 +520,16 @@
         },
         "gallery": {
             "galleryNavRight": {
-                "desc": "Sang phải theo mạng lưới thư viện, chọn hình ảnh đó. Nếu đến cuối hàng, qua hàng tiếp theo. Nếu đến hình ảnh cuối cùng, qua trang tiếp theo.",
+                "desc": "Sang phải theo mạng lưới thư viện ảnh, chọn hình ảnh đó. Nếu đến cuối hàng, qua hàng tiếp theo. Nếu đến hình ảnh cuối cùng, qua trang tiếp theo.",
                 "title": "Sang Phải"
             },
             "galleryNavDown": {
                 "title": "Đi Xuống",
-                "desc": "Đi xuống theo mạng lưới thư viện, chọn hình ảnh đó. Nếu xuống cuối cùng trang, sang trang tiếp theo."
+                "desc": "Đi xuống theo mạng lưới thư viện ảnh, chọn hình ảnh đó. Nếu xuống cuối cùng trang, sang trang tiếp theo."
             },
             "galleryNavLeft": {
                 "title": "Sang Trái",
-                "desc": "Sang trái theo mạng lưới thư viện, chọn hình ảnh đó. Nếu đến đầu hàng, về lại hàng trước đó. Nếu đến hình ảnh đầu tiên, về lại trang trước đó."
+                "desc": "Sang trái theo mạng lưới thư viện ảnh, chọn hình ảnh đó. Nếu đến đầu hàng, về lại hàng trước đó. Nếu đến hình ảnh đầu tiên, về lại trang trước đó."
             },
             "galleryNavUpAlt": {
                 "title": "Đi Lên (So Sánh Ảnh)",
@@ -535,7 +541,7 @@
             },
             "galleryNavUp": {
                 "title": "Đi Lên",
-                "desc": "Đi lên theo mạng lưới thư viện, chọn hình ảnh đó. Nếu lên trên cùng trang, về lại trang trước đó."
+                "desc": "Đi lên theo mạng lưới thư viện ảnh, chọn hình ảnh đó. Nếu lên trên cùng trang, về lại trang trước đó."
             },
             "galleryNavRightAlt": {
                 "title": "Sang Phải (So Sánh Ảnh)",
@@ -545,7 +551,7 @@
                 "title": "Chọn Tất Cả Trên Trang",
                 "desc": "Chọn tất cả ảnh trên trang hiện tại."
             },
-            "title": "Thư Viện",
+            "title": "Thư Viện Ảnh",
             "galleryNavDownAlt": {
                 "title": "Đi Xuống (So Sánh Ảnh)",
                 "desc": "Giống với \"Đi Xuống\", nhưng là chọn ảnh được so sánh, mở chế độ so sánh nếu chưa được mở."
@@ -964,7 +970,7 @@
         "versionUnknown": " Phiên Bản Không Rõ",
         "workflowContact": "Thông Tin Liên Lạc",
         "workflowName": "Tên",
-        "saveToGallery": "Lưu Vào Thư Viện",
+        "saveToGallery": "Lưu Vào Thư Viện Ảnh",
         "connectionWouldCreateCycle": "Kết nối này sẽ tạo ra vòng lặp",
         "addNode": "Thêm Node",
         "unsupportedAnyOfLength": "quá nhiều dữ liệu hợp nhất: {{count}}",
@@ -995,7 +1001,16 @@
         "generatorLoading": "đang tải",
         "generatorLoadFromFile": "Tải Từ Tệp",
         "dynamicPromptsRandom": "Dynamic Prompts (Ngẫu Nhiên)",
-        "dynamicPromptsCombinatorial": "Dynamic Prompts (Tổ Hợp)"
+        "dynamicPromptsCombinatorial": "Dynamic Prompts (Tổ Hợp)",
+        "missingSourceOrTargetNode": "Thiếu nguồn hoặc node mục tiêu",
+        "missingSourceOrTargetHandle": "Thiếu nguồn hoặc mục tiêu xử lý",
+        "deletedMissingNodeFieldFormElement": "Xóa vùng nhập bị thiếu: vùng {{fieldName}} của node {{nodeId}}",
+        "description": "Mô Tả",
+        "loadWorkflowDesc": "Tải workflow?",
+        "loadWorkflowDesc2": "Workflow hiện tại của bạn có những điều chỉnh chưa được lưu.",
+        "loadingTemplates": "Đang Tải {{name}}",
+        "nodeName": "Tên Node",
+        "unableToUpdateNode": "Cập nhật node thất bại: node {{node}} thuộc dạng {{type}} (có thể cần xóa và tạo lại)"
     },
     "popovers": {
         "paramCFGRescaleMultiplier": {
@@ -1479,8 +1494,7 @@
             "batchNodeCollectionSizeMismatch": "Kích cỡ tài nguyên không phù hợp với Lô {{batchGroupId}}",
             "emptyBatches": "lô trống",
             "batchNodeNotConnected": "Node Hàng Loạt chưa được kết nối: {{label}}",
-            "batchNodeEmptyCollection": "Một vài node hàng loạt có tài nguyên rỗng",
-            "invalidBatchConfigurationCannotCalculate": "Thiết lập lô không hợp lệ; không thể tính toán"
+            "batchNodeEmptyCollection": "Một vài node hàng loạt có tài nguyên rỗng"
         },
         "cfgScale": "Thang CFG",
         "useSeed": "Dùng Hạt Giống",
@@ -1582,14 +1596,14 @@
         "clearIntermediates": "Dọn Sạch Sản Phẩm Trung Gian",
         "clearIntermediatesDisabled": "Hàng đợi phải trống để dọn dẹp các sản phẩm trung gian",
         "clearIntermediatesDesc1": "Dọn dẹp các sản phẩm trung gian sẽ làm mới trạng thái của Canvas và ControlNet.",
-        "clearIntermediatesDesc2": "Các sản phẩm ảnh trung gian là sản phẩm phụ trong quá trình tạo sinh, khác với ảnh trong thư viện. Xoá sản phẩm trung gian sẽ giúp làm trống ổ đĩa.",
+        "clearIntermediatesDesc2": "Các sản phẩm ảnh trung gian là sản phẩm phụ trong quá trình tạo sinh, khác với ảnh trong thư viện ảnh. Xoá sản phẩm trung gian sẽ giúp làm trống ổ đĩa.",
         "resetWebUI": "Khởi Động Lại Giao Diện Web",
         "showProgressInViewer": "Hiển Thị Hình Ảnh Đang Xử Lý Trong Trình Xem",
         "ui": "Giao Diện Người Dùng",
-        "clearIntermediatesDesc3": "Ảnh trong thư viện sẽ không bị xoá.",
+        "clearIntermediatesDesc3": "Ảnh trong thư viện ảnh sẽ không bị xoá.",
         "informationalPopoversDisabled": "Hộp Thoại Hỗ Trợ Thông Tin Đã Tắt",
         "resetComplete": "Giao diện web đã được khởi động lại.",
-        "resetWebUIDesc2": "Nếu ảnh không được xuất hiện trong thư viện hoặc điều gì đó không ổn đang diễn ra, hãy thử khởi động lại trước khi báo lỗi trên Github.",
+        "resetWebUIDesc2": "Nếu ảnh không được xuất hiện trong thư viện ảnh hoặc điều gì đó không ổn đang diễn ra, hãy thử khởi động lại trước khi báo lỗi trên Github.",
         "displayInProgress": "Hiển Thị Hình Ảnh Đang Xử Lý",
         "intermediatesClearedFailed": "Có Vấn Đề Khi Dọn Sạch Sản Phẩm Trung Gian",
         "enableInvisibleWatermark": "Bật Chế Độ Ẩn Watermark",
@@ -1617,7 +1631,7 @@
         "width": "Chiều Rộng",
         "negativePrompt": "Lệnh Tiêu Cực",
         "removeBookmark": "Bỏ Đánh Dấu",
-        "saveBboxToGallery": "Lưu Hộp Giới Hạn Vào Thư Viện",
+        "saveBboxToGallery": "Lưu Hộp Giới Hạn Vào Thư Viện Ảnh",
         "global": "Toàn Vùng",
         "pullBboxIntoReferenceImageError": "Có Vấn Đề Khi Chuyển Hộp Giới Hạn Thành Ảnh Mẫu",
         "clearHistory": "Xoá Lịch Sử",
@@ -1625,12 +1639,12 @@
         "mergeVisibleOk": "Đã gộp layer",
         "saveLayerToAssets": "Lưu Layer Vào Khu Tài Nguyên",
         "canvas": "Canvas",
-        "savedToGalleryOk": "Đã Lưu Vào Thư Viện",
+        "savedToGalleryOk": "Đã Lưu Vào Thư Viện Ảnh",
         "addGlobalReferenceImage": "Thêm $t(controlLayers.globalReferenceImage)",
         "clipToBbox": "Chuyển Nét Thành Hộp Giới Hạn",
         "moveToFront": "Chuyển Lên Trước",
         "mergeVisible": "Gộp Layer Đang Hiển Thị",
-        "savedToGalleryError": "Lỗi khi lưu vào thư viện",
+        "savedToGalleryError": "Lỗi khi lưu vào thư viện ảnh",
         "moveToBack": "Chuyển Về Sau",
         "moveBackward": "Chuyển Xuống Cuối",
         "newGlobalReferenceImageError": "Có Vấn Đề Khi Tạo Ảnh Mẫu Toàn Vùng",
@@ -1650,7 +1664,7 @@
         "regional": "Khu Vực",
         "regionIsEmpty": "Vùng được chọn trống",
         "bookmark": "Đánh Dấu Để Đổi Nhanh",
-        "saveCanvasToGallery": "Lưu Canvas Vào Thư Viện",
+        "saveCanvasToGallery": "Lưu Canvas Vào Thư Viện Ảnh",
         "cropLayerToBbox": "Xén Layer Vào Hộp Giới Hạn",
         "mergeDown": "Gộp Xuống",
         "mergeVisibleError": "Lỗi khi gộp layer",
@@ -1718,11 +1732,11 @@
         "pullBboxIntoLayer": "Chuyển Hộp Giới Hạn Vào Layer",
         "addInpaintMask": "Thêm $t(controlLayers.inpaintMask)",
         "addRegionalGuidance": "Thêm $t(controlLayers.regionalGuidance)",
-        "sendToGallery": "Chuyển Tới Thư Viện",
+        "sendToGallery": "Đã Chuyển Tới Thư Viện Ảnh",
         "unlocked": "Mở Khoá",
         "addReferenceImage": "Thêm $t(controlLayers.referenceImage)",
         "sendingToCanvas": "Chuyển Ảnh Tạo Sinh Vào Canvas",
-        "sendingToGallery": "Chuyển Ảnh Tạo Sinh Vào Thư Viện",
+        "sendingToGallery": "Chuyển Ảnh Tạo Sinh Vào Thư Viện Ảnh",
         "viewProgressOnCanvas": "Xem quá trình xử lý và ảnh đầu ra trong <Btn>Canvas</Btn>.",
         "inpaintMask_withCount_other": "Lớp Phủ Inpaint",
         "regionalGuidance_withCount_other": "Chỉ Dẫn Khu Vực",
@@ -1733,7 +1747,7 @@
         "copyRasterLayerTo": "Sao Chép $t(controlLayers.rasterLayer) Tới",
         "copyControlLayerTo": "Sao Chép $t(controlLayers.controlLayer) Tới",
         "newRegionalGuidance": "$t(controlLayers.regionalGuidance) Mới",
-        "newGallerySessionDesc": "Nó sẽ dọn sạch canvas và các thiết lập trừ model được chọn. Các ảnh được tạo sinh sẽ được chuyển đến thư viện.",
+        "newGallerySessionDesc": "Nó sẽ dọn sạch canvas và các thiết lập trừ model được chọn. Các ảnh được tạo sinh sẽ được chuyển đến thư viện ảnh.",
         "stagingOnCanvas": "Hiển thị hình ảnh lên",
         "pullBboxIntoReferenceImage": "Chuyển Hộp Giới Hạn Vào Ảnh Mẫu",
         "maskFill": "Lấp Đầy Lớp Phủ",
@@ -1755,8 +1769,8 @@
         "deleteReferenceImage": "Xoá Ảnh Mẫu",
         "inpaintMasks_withCount_visible": "Lớp Phủ Inpaint ({{count}})",
         "disableTransparencyEffect": "Tắt Hiệu Ứng Trong Suốt",
-        "newGallerySession": "Phiên Thư Viện Mới",
-        "sendToGalleryDesc": "Bấm 'Kích Hoạt' sẽ tiến hành tạo sinh và lưu ảnh vào thư viện.",
+        "newGallerySession": "Phiên Thư Viện Ảnh Mới",
+        "sendToGalleryDesc": "Bấm 'Kích Hoạt' sẽ tiến hành tạo sinh và lưu ảnh vào thư viện ảnh.",
         "opacity": "Độ Mờ Đục",
         "rectangle": "Hình Chữ Nhật",
         "addNegativePrompt": "Thêm $t(controlLayers.negativePrompt)",
@@ -1791,13 +1805,13 @@
             "process": "Xử Lý"
         },
         "canvasContextMenu": {
-            "saveBboxToGallery": "Lưu Hộp Giới Hạn Vào Thư Viện",
+            "saveBboxToGallery": "Lưu Hộp Giới Hạn Vào Thư Viện Ảnh",
             "newGlobalReferenceImage": "Ảnh Mẫu Toàn Vùng Mới",
             "cropCanvasToBbox": "Xén Canvas Vào Hộp Giới Hạn",
             "newRegionalGuidance": "Chỉ Dẫn Khu Vực Mới",
-            "saveToGalleryGroup": "Lưu Vào Thư Viện",
+            "saveToGalleryGroup": "Lưu Vào Thư Viện Ảnh",
             "newInpaintMask": "Lớp Phủ Inpaint Mới",
-            "saveCanvasToGallery": "Lưu Canvas Vào Thư Viện",
+            "saveCanvasToGallery": "Lưu Canvas Vào Thư Viện Ảnh",
             "newRegionalReferenceImage": "Ảnh Mẫu Khu Vực Mới",
             "newControlLayer": "Layer Điều Khiển Được Mới",
             "newRasterLayer": "Layer Dạng Raster Mới",
@@ -1808,7 +1822,7 @@
             "copyBboxToClipboard": "Sao Chép Hộp Giới Hạn Vào Clipboard"
         },
         "stagingArea": {
-            "saveToGallery": "Lưu Vào Thư Viện",
+            "saveToGallery": "Lưu Vào Thư Viện Ảnh",
             "accept": "Chấp Nhận",
             "discard": "Bỏ Đi",
             "previous": "Trước",
@@ -2090,7 +2104,7 @@
         "enableLogging": "Bật Chế Độ Ghi Log",
         "logNamespaces": {
             "models": "Models",
-            "gallery": "Thư Viện",
+            "gallery": "Thư Viện Ảnh",
             "config": "Cấu Hình",
             "queue": "Queue",
             "workflows": "Workflow",
@@ -2178,7 +2192,7 @@
     },
     "ui": {
         "tabs": {
-            "gallery": "Thư Viện",
+            "gallery": "Thư Viện Ảnh",
             "models": "Models",
             "generation": "Generation (Máy Tạo Sinh)",
             "upscaling": "Upscale (Nâng Cấp Chất Lượng Hình Ảnh)",
@@ -2210,7 +2224,7 @@
         "savingWorkflow": "Đang Lưu Workflow...",
         "ascending": "Tăng Dần",
         "loading": "Đang Tải Workflow",
-        "chooseWorkflowFromLibrary": "Chọn Workflow Từ Túi Đồ",
+        "chooseWorkflowFromLibrary": "Chọn Workflow Từ Thư Viện",
         "workflows": "Workflow",
         "copyShareLinkForWorkflow": "Sao Chép Liên Kết Chia Sẻ Cho Workflow",
         "openWorkflow": "Mở Workflow",
@@ -2230,11 +2244,38 @@
         "convertGraph": "Chuyển Đổi Đồ Thị",
         "saveWorkflowToProject": "Lưu Workflow Vào Dự Án",
         "workflowName": "Tên Workflow",
-        "workflowLibrary": "Túi Đồ",
+        "workflowLibrary": "Thư Viện",
         "opened": "Ngày Mở",
         "deleteWorkflow": "Xoá Workflow",
         "workflowEditorMenu": "Menu Biên Tập Viên Workflow",
-        "uploadAndSaveWorkflow": "Tải Lên Túi Đồ"
+        "uploadAndSaveWorkflow": "Tải Lên Thư Viện",
+        "openLibrary": "Mở Thư Viện",
+        "builder": {
+            "resetAllNodeFields": "Khởi Động Lại Tất Cả Vùng Cho Node",
+            "builder": "Trình Tạo Vùng Nhập",
+            "layout": "Bố Cục",
+            "row": "Hàng",
+            "zoomToNode": "Phóng To Vào Node",
+            "addToForm": "Thêm Vào Vùng Nhập",
+            "label": "Nhãn Tên",
+            "showDescription": "Hiện Dòng Mô Tả",
+            "component": "Thành Phần",
+            "numberInput": "Nhập Số",
+            "singleLine": "Một Dòng",
+            "multiLine": "Nhiều Dòng",
+            "slider": "Thanh Trượt",
+            "both": "Cả Hai",
+            "emptyRootPlaceholderViewMode": "Chọn Chỉnh Sửa để bắt đầu tạo nên một vùng nhập cho workflow này.",
+            "emptyRootPlaceholderEditMode": "Kéo thành phần vùng nhập hoặc vùng cho node vào đây để bắt đầu.",
+            "containerPlaceholder": "Hộp Chứa Trống",
+            "headingPlaceholder": "Đầu Dòng Trống",
+            "textPlaceholder": "Mô Tả Trống",
+            "column": "Cột",
+            "deleteAllElements": "Xóa Tất Cả Thành Phần Vùng Nhập",
+            "nodeField": "Vùng Cho Node",
+            "nodeFieldTooltip": "Để thêm vùng cho node, bấm vào dấu cộng nhỏ trên vùng trong Vùng Biên Tập Workflow, hoặc kéo vùng theo tên của nó vào vùng nhập.",
+            "workflowBuilderAlphaWarning": "Trình tạo workflow đang trong giai đoạn alpha. Nó có thể xuất hiện những thay đổi đột ngột trước khi chính thức được phát hành."
+        }
     },
     "upscaling": {
         "missingUpscaleInitialImage": "Thiếu ảnh dùng để upscale",
@@ -2257,9 +2298,9 @@
         "incompatibleBaseModelDesc": "Upscale chỉ hỗ trợ cho model phiên bản SD1.5 và SDXL. Đổi model chính để bật lại tính năng upscale."
     },
     "newUserExperience": {
-        "toGetStartedLocal": "Để bắt đầu, hãy chắc chắn đã tải xuống hoặc thêm vào model cần để chạy Invoke. Sau đó, nhập lệnh vào hộp và nhấp chuột vào <StrongComponent>Kích Hoạt</StrongComponent> để tạo ra bức ảnh đầu tiên. Chọn một mẫu trình bày cho lệnh để cải thiện kết quả. Bạn có thể chọn để lưu ảnh trực tiếp vào <StrongComponent>Thư Viện</StrongComponent> hoặc chỉnh sửa chúng ở <StrongComponent>Canvas</StrongComponent>.",
+        "toGetStartedLocal": "Để bắt đầu, hãy chắc chắn đã tải xuống hoặc thêm vào model cần để chạy Invoke. Sau đó, nhập lệnh vào hộp và nhấp chuột vào <StrongComponent>Kích Hoạt</StrongComponent> để tạo ra bức ảnh đầu tiên. Chọn một mẫu trình bày cho lệnh để cải thiện kết quả. Bạn có thể chọn để lưu ảnh trực tiếp vào <StrongComponent>Thư Viện Ảnh</StrongComponent> hoặc chỉnh sửa chúng ở <StrongComponent>Canvas</StrongComponent>.",
         "gettingStartedSeries": "Cần thêm hướng dẫn? Xem thử <LinkComponent>Bắt Đầu Làm Quen</LinkComponent> để biết thêm mẹo khai thác toàn bộ tiềm năng của Invoke Studio.",
-        "toGetStarted": "Để bắt đầu, hãy nhập lệnh vào hộp và nhấp chuột vào <StrongComponent>Kích Hoạt</StrongComponent> để tạo ra bức ảnh đầu tiên. Chọn một mẫu trình bày cho lệnh để cải thiện kết quả. Bạn có thể chọn để lưu ảnh trực tiếp vào <StrongComponent>Thư Viện</StrongComponent> hoặc chỉnh sửa chúng ở <StrongComponent>Canvas</StrongComponent>.",
+        "toGetStarted": "Để bắt đầu, hãy nhập lệnh vào hộp và nhấp chuột vào <StrongComponent>Kích Hoạt</StrongComponent> để tạo ra bức ảnh đầu tiên. Chọn một mẫu trình bày cho lệnh để cải thiện kết quả. Bạn có thể chọn để lưu ảnh trực tiếp vào <StrongComponent>Thư Viện Ảnh</StrongComponent> hoặc chỉnh sửa chúng ở <StrongComponent>Canvas</StrongComponent>.",
         "noModelsInstalled": "Dường như bạn chưa tải model nào cả! Bạn có thể <DownloadStarterModelsButton>tải xuống các model khởi đầu</DownloadStarterModelsButton> hoặc <ImportModelsButton>nhập vào thêm model</ImportModelsButton>.",
         "lowVRAMMode": "Cho hiệu suất tốt nhất, hãy làm theo <LinkComponent>hướng dẫn VRAM Thấp</LinkComponent> của chúng tôi."
     },
@@ -2270,11 +2311,7 @@
         "watchUiUpdatesOverview": "Xem Tổng Quan Về Những Cập Nhật Cho Giao Diện Người Dùng",
         "items": [
             "Cải thiện các thiết lập mặc định của VRAM",
-            "Xoá bộ nhớ đệm của model theo yêu cầu",
-            "Mở rộng khả năng tương thích LoRA trên FLUX",
-            "Bộ lọc điều chỉnh ảnh trên Canvas",
-            "Huỷ tất cả trừ mục đang xếp hàng hiện tại",
-            "Sao chép và dán trên Canvas"
+            "Xoá bộ nhớ đệm của model theo yêu cầu"
         ]
     },
     "upsell": {
@@ -2306,8 +2343,8 @@
                 "title": "Upscale (Nâng Cấp Chất Lượng Hình Ảnh)"
             },
             "howDoIGenerateAndSaveToTheGallery": {
-                "title": "Làm Sao Để Tôi Tạo Sinh Và Lưu Vào Thư Viện?",
-                "description": "Các bước để tạo sinh và lưu ảnh vào thư viện."
+                "title": "Làm Sao Để Tôi Tạo Sinh Và Lưu Vào Thư Viện Ảnh?",
+                "description": "Các bước để tạo sinh và lưu ảnh vào thư viện ảnh."
             },
             "howDoIEditOnTheCanvas": {
                 "description": "Hướng dẫn chỉnh sửa ảnh trực tiếp trên canvas.",

invokeai/frontend/web/src/app/components/App.tsx

@@ -1,13 +1,15 @@
 import { Box, useGlobalModifiersInit } from '@invoke-ai/ui-library';
+import { useStore } from '@nanostores/react';
 import { GlobalImageHotkeys } from 'app/components/GlobalImageHotkeys';
 import type { StudioInitAction } from 'app/hooks/useStudioInitAction';
-import { useStudioInitAction } from 'app/hooks/useStudioInitAction';
+import { $didStudioInit, useStudioInitAction } from 'app/hooks/useStudioInitAction';
 import { useSyncQueueStatus } from 'app/hooks/useSyncQueueStatus';
 import { useLogger } from 'app/logging/useLogger';
 import { useSyncLoggingConfig } from 'app/logging/useSyncLoggingConfig';
 import { appStarted } from 'app/store/middleware/listenerMiddleware/listeners/appStarted';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import type { PartialAppConfig } from 'app/types/invokeai';
+import Loading from 'common/components/Loading/Loading';
 import { useFocusRegionWatcher } from 'common/hooks/focus';
 import { useClearStorage } from 'common/hooks/useClearStorage';
 import { useGlobalHotkeys } from 'common/hooks/useGlobalHotkeys';
@@ -27,6 +29,7 @@ import { useStarterModelsToast } from 'features/modelManagerV2/hooks/useStarterM
 import { ShareWorkflowModal } from 'features/nodes/components/sidePanel/WorkflowListMenu/ShareWorkflowModal';
 import { CancelAllExceptCurrentQueueItemConfirmationAlertDialog } from 'features/queue/components/CancelAllExceptCurrentQueueItemConfirmationAlertDialog';
 import { ClearQueueConfirmationsAlertDialog } from 'features/queue/components/ClearQueueConfirmationAlertDialog';
+import { useReadinessWatcher } from 'features/queue/store/readiness';
 import { DeleteStylePresetDialog } from 'features/stylePresets/components/DeleteStylePresetDialog';
 import { StylePresetModal } from 'features/stylePresets/components/StylePresetForm/StylePresetModal';
 import RefreshAfterResetModal from 'features/system/components/SettingsModal/RefreshAfterResetModal';
@@ -35,6 +38,7 @@ import { configChanged } from 'features/system/store/configSlice';
 import { selectLanguage } from 'features/system/store/systemSelectors';
 import { AppContent } from 'features/ui/components/AppContent';
 import { DeleteWorkflowDialog } from 'features/workflowLibrary/components/DeleteLibraryWorkflowConfirmationAlertDialog';
+import { LoadWorkflowConfirmationAlertDialog } from 'features/workflowLibrary/components/LoadWorkflowConfirmationAlertDialog';
 import { NewWorkflowConfirmationAlertDialog } from 'features/workflowLibrary/components/NewWorkflowConfirmationAlertDialog';
 import i18n from 'i18n';
 import { size } from 'lodash-es';
@@ -53,49 +57,22 @@ interface Props {
 }
 
 const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
-  const language = useAppSelector(selectLanguage);
-  const logger = useLogger('system');
-  const dispatch = useAppDispatch();
+  const didStudioInit = useStore($didStudioInit);
   const clearStorage = useClearStorage();
 
-  // singleton!
-  useSocketIO();
-  useGlobalModifiersInit();
-  useGlobalHotkeys();
-  useGetOpenAPISchemaQuery();
-  useSyncLoggingConfig();
-
   const handleReset = useCallback(() => {
     clearStorage();
     location.reload();
     return false;
   }, [clearStorage]);
 
-  useEffect(() => {
-    i18n.changeLanguage(language);
-  }, [language]);
-
-  useEffect(() => {
-    if (size(config)) {
-      logger.info({ config }, 'Received config');
-      dispatch(configChanged(config));
-    }
-  }, [dispatch, config, logger]);
-
-  useEffect(() => {
-    dispatch(appStarted());
-  }, [dispatch]);
-
-  useStudioInitAction(studioInitAction);
-  useStarterModelsToast();
-  useSyncQueueStatus();
-  useFocusRegionWatcher();
-
   return (
     <ErrorBoundary onReset={handleReset} FallbackComponent={AppErrorBoundaryFallback}>
       <Box id="invoke-app-wrapper" w="100dvw" h="100dvh" position="relative" overflow="hidden">
         <AppContent />
+        {!didStudioInit && <Loading />}
       </Box>
+      <HookIsolator config={config} studioInitAction={studioInitAction} />
       <DeleteImageModal />
       <ChangeBoardModal />
       <DynamicPromptsModal />
@@ -103,6 +80,7 @@ const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
       <CancelAllExceptCurrentQueueItemConfirmationAlertDialog />
       <ClearQueueConfirmationsAlertDialog />
       <NewWorkflowConfirmationAlertDialog />
+      <LoadWorkflowConfirmationAlertDialog />
       <DeleteStylePresetDialog />
       <DeleteWorkflowDialog />
       <ShareWorkflowModal />
@@ -122,3 +100,43 @@ const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
 };
 
 export default memo(App);
+
+// Running these hooks in a separate component ensures we do not inadvertently rerender the entire app when they change.
+const HookIsolator = memo(
+  ({ config, studioInitAction }: { config: PartialAppConfig; studioInitAction?: StudioInitAction }) => {
+    const language = useAppSelector(selectLanguage);
+    const logger = useLogger('system');
+    const dispatch = useAppDispatch();
+
+    // singleton!
+    useReadinessWatcher();
+    useSocketIO();
+    useGlobalModifiersInit();
+    useGlobalHotkeys();
+    useGetOpenAPISchemaQuery();
+    useSyncLoggingConfig();
+
+    useEffect(() => {
+      i18n.changeLanguage(language);
+    }, [language]);
+
+    useEffect(() => {
+      if (size(config)) {
+        logger.info({ config }, 'Received config');
+        dispatch(configChanged(config));
+      }
+    }, [dispatch, config, logger]);
+
+    useEffect(() => {
+      dispatch(appStarted());
+    }, [dispatch]);
+
+    useStudioInitAction(studioInitAction);
+    useStarterModelsToast();
+    useSyncQueueStatus();
+    useFocusRegionWatcher();
+
+    return null;
+  }
+);
+HookIsolator.displayName = 'HookIsolator';

invokeai/frontend/web/src/app/components/InvokeAIUI.tsx

@@ -2,6 +2,7 @@ import 'i18n';
 
 import type { Middleware } from '@reduxjs/toolkit';
 import type { StudioInitAction } from 'app/hooks/useStudioInitAction';
+import { $didStudioInit } from 'app/hooks/useStudioInitAction';
 import type { LoggingOverrides } from 'app/logging/logger';
 import { $loggingOverrides, configureLogging } from 'app/logging/logger';
 import { $authToken } from 'app/store/nanostores/authToken';
@@ -87,6 +88,12 @@ const InvokeAIUI = ({
     );
   }, [loggingOverrides]);
 
+  useLayoutEffect(() => {
+    if (studioInitAction) {
+      $didStudioInit.set(false);
+    }
+  }, [studioInitAction]);
+
   useEffect(() => {
     // configure API client token
     if (token) {

invokeai/frontend/web/src/app/components/ThemeLocaleProvider.tsx

@@ -1,5 +1,6 @@
 import '@fontsource-variable/inter';
 import 'overlayscrollbars/overlayscrollbars.css';
+import '@xyflow/react/dist/base.css';
 
 import { ChakraProvider, DarkMode, extendTheme, theme as _theme, TOAST_OPTIONS } from '@invoke-ai/ui-library';
 import type { ReactNode } from 'react';

invokeai/frontend/web/src/app/hooks/useStudioInitAction.ts

@@ -16,7 +16,8 @@ import { $isStylePresetsMenuOpen, activeStylePresetIdChanged } from 'features/st
 import { toast } from 'features/toast/toast';
 import { activeTabCanvasRightPanelChanged, setActiveTab } from 'features/ui/store/uiSlice';
 import { useGetAndLoadLibraryWorkflow } from 'features/workflowLibrary/hooks/useGetAndLoadLibraryWorkflow';
-import { useCallback, useEffect, useRef } from 'react';
+import { atom } from 'nanostores';
+import { useCallback, useEffect } from 'react';
 import { useTranslation } from 'react-i18next';
 import { getImageDTO, getImageMetadata } from 'services/api/endpoints/images';
 import { getStylePreset } from 'services/api/endpoints/stylePresets';
@@ -32,6 +33,9 @@ type StudioDestinationAction = _StudioInitAction<
   { destination: 'generation' | 'canvas' | 'workflows' | 'upscaling' | 'viewAllWorkflows' | 'viewAllStylePresets' }
 >;
 
+// Use global state to show loader until we are ready to render the studio.
+export const $didStudioInit = atom(false);
+
 export type StudioInitAction =
   | LoadWorkflowAction
   | SelectStylePresetAction
@@ -51,8 +55,6 @@ export type StudioInitAction =
 export const useStudioInitAction = (action?: StudioInitAction) => {
   useAssertSingleton('useStudioInitAction');
   const { t } = useTranslation();
-  // Use a ref to ensure that we only perform the action once
-  const didInit = useRef(false);
   const didParseOpenAPISchema = useStore($hasTemplates);
   const store = useAppStore();
   const { getAndLoadWorkflow } = useGetAndLoadLibraryWorkflow();
@@ -102,16 +104,16 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
       }
       const metadata = getImageMetadataResult.value;
       // This shows a toast
-      parseAndRecallAllMetadata(metadata, true);
+      await parseAndRecallAllMetadata(metadata, true);
       store.dispatch(setActiveTab('canvas'));
     },
     [store, t]
   );
 
   const handleLoadWorkflow = useCallback(
-    (workflowId: string) => {
+    async (workflowId: string) => {
       // This shows a toast
-      getAndLoadWorkflow(workflowId);
+      await getAndLoadWorkflow(workflowId);
       store.dispatch(setActiveTab('workflows'));
     },
     [getAndLoadWorkflow, store]
@@ -176,36 +178,48 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
     [store]
   );
 
+  const handleStudioInitAction = useCallback(
+    async (action: StudioInitAction) => {
+      // This cannot be in the useEffect below because we need to await some of the actions before setting didStudioInit.
+      switch (action.type) {
+        case 'loadWorkflow':
+          await handleLoadWorkflow(action.data.workflowId);
+          break;
+        case 'selectStylePreset':
+          await handleSelectStylePreset(action.data.stylePresetId);
+          break;
+
+        case 'sendToCanvas':
+          await handleSendToCanvas(action.data.imageName);
+          break;
+
+        case 'useAllParameters':
+          await handleUseAllMetadata(action.data.imageName);
+          break;
+
+        case 'goToDestination':
+          handleGoToDestination(action.data.destination);
+          break;
+
+        default:
+          break;
+      }
+      $didStudioInit.set(true);
+    },
+    [handleGoToDestination, handleLoadWorkflow, handleSelectStylePreset, handleSendToCanvas, handleUseAllMetadata]
+  );
+
   useEffect(() => {
-    if (didInit.current || !action || !didParseOpenAPISchema) {
+    if ($didStudioInit.get() || !didParseOpenAPISchema) {
       return;
     }
 
-    didInit.current = true;
-
-    switch (action.type) {
-      case 'loadWorkflow':
-        handleLoadWorkflow(action.data.workflowId);
-        break;
-      case 'selectStylePreset':
-        handleSelectStylePreset(action.data.stylePresetId);
-        break;
-
-      case 'sendToCanvas':
-        handleSendToCanvas(action.data.imageName);
-        break;
-
-      case 'useAllParameters':
-        handleUseAllMetadata(action.data.imageName);
-        break;
-
-      case 'goToDestination':
-        handleGoToDestination(action.data.destination);
-        break;
-
-      default:
-        break;
+    if (!action) {
+      $didStudioInit.set(true);
+      return;
     }
+
+    handleStudioInitAction(action);
   }, [
     handleSendToCanvas,
     handleUseAllMetadata,
@@ -214,5 +228,6 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
     handleGoToDestination,
     handleLoadWorkflow,
     didParseOpenAPISchema,
+    handleStudioInitAction,
   ]);
 };

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

@@ -1,6 +1,4 @@
 import { createDraftSafeSelectorCreator, createSelectorCreator, lruMemoize } from '@reduxjs/toolkit';
-import type { GetSelectorsOptions } from '@reduxjs/toolkit/dist/entities/state_selectors';
-import type { RootState } from 'app/store/store';
 import { isEqual } from 'lodash-es';
 
 /**
@@ -14,11 +12,9 @@ export const createMemoizedSelector = createSelectorCreator({
   argsMemoize: lruMemoize,
 });
 
-export const getSelectorsOptions: GetSelectorsOptions = {
+export const getSelectorsOptions = {
   createSelector: createDraftSafeSelectorCreator({
     memoize: lruMemoize,
     argsMemoize: lruMemoize,
   }),
 };
-
-export const createMemoizedAppSelector = createMemoizedSelector.withTypes<RootState>();

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

@@ -3,6 +3,7 @@ import { enqueueRequested } from 'app/store/actions';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import { extractMessageFromAssertionError } from 'common/util/extractMessageFromAssertionError';
 import { withResult, withResultAsync } from 'common/util/result';
+import { parseify } from 'common/util/serialize';
 import { $canvasManager } from 'features/controlLayers/store/ephemeral';
 import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatchConfig';
 import { buildFLUXGraph } from 'features/nodes/util/graph/generation/buildFLUXGraph';
@@ -13,7 +14,6 @@ import { toast } from 'features/toast/toast';
 import { serializeError } from 'serialize-error';
 import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import { assert, AssertionError } from 'tsafe';
-import type { JsonObject } from 'type-fest';
 
 const log = logger('generation');
 
@@ -80,16 +80,15 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
       const req = dispatch(
         queueApi.endpoints.enqueueBatch.initiate(prepareBatchResult.value, enqueueMutationFixedCacheKeyOptions)
       );
-      req.reset();
 
-      const enqueueResult = await withResultAsync(() => req.unwrap());
-
-      if (enqueueResult.isErr()) {
-        log.error({ error: serializeError(enqueueResult.error) }, 'Failed to enqueue batch');
-        return;
+      try {
+        await req.unwrap();
+        log.debug(parseify({ batchConfig: prepareBatchResult.value }), 'Enqueued batch');
+      } catch (error) {
+        log.error({ error: serializeError(error) }, 'Failed to enqueue batch');
+      } finally {
+        req.reset();
       }
-
-      log.debug({ batchConfig: prepareBatchResult.value } as JsonObject, 'Enqueued batch');
     },
   });
 };

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

@@ -1,26 +1,33 @@
+import { logger } from 'app/logging/logger';
 import { enqueueRequested } from 'app/store/actions';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { parseify } from 'common/util/serialize';
+import { $templates } from 'features/nodes/store/nodesSlice';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
 import { isBatchNode, isInvocationNode } from 'features/nodes/types/invocation';
 import { buildNodesGraph } from 'features/nodes/util/graph/buildNodesGraph';
+import { resolveBatchValue } from 'features/nodes/util/node/resolveBatchValue';
 import { buildWorkflowWithValidation } from 'features/nodes/util/workflow/buildWorkflow';
-import { resolveBatchValue } from 'features/queue/store/readiness';
 import { groupBy } from 'lodash-es';
+import { serializeError } from 'serialize-error';
 import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import type { Batch, BatchConfig } from 'services/api/types';
 
+const log = logger('generation');
+
 export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) => {
   startAppListening({
     predicate: (action): action is ReturnType<typeof enqueueRequested> =>
       enqueueRequested.match(action) && action.payload.tabName === 'workflows',
     effect: async (action, { getState, dispatch }) => {
       const state = getState();
-      const nodes = selectNodesSlice(state);
+      const nodesState = selectNodesSlice(state);
       const workflow = state.workflow;
-      const graph = buildNodesGraph(nodes);
+      const templates = $templates.get();
+      const graph = buildNodesGraph(state, templates);
       const builtWorkflow = buildWorkflowWithValidation({
-        nodes: nodes.nodes,
-        edges: nodes.edges,
+        nodes: nodesState.nodes,
+        edges: nodesState.edges,
         workflow,
       });
 
@@ -31,7 +38,7 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) =
 
       const data: Batch['data'] = [];
 
-      const invocationNodes = nodes.nodes.filter(isInvocationNode);
+      const invocationNodes = nodesState.nodes.filter(isInvocationNode);
       const batchNodes = invocationNodes.filter(isBatchNode);
 
       // Handle zipping batch nodes. First group the batch nodes by their batch_group_id
@@ -42,9 +49,11 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) =
         const zippedBatchDataCollectionItems: NonNullable<Batch['data']>[number] = [];
 
         for (const node of batchNodes) {
-          const value = resolveBatchValue(node, invocationNodes, nodes.edges);
+          const value = await resolveBatchValue({ nodesState, node, dispatch });
           const sourceHandle = node.data.type === 'image_batch' ? 'image' : 'value';
-          const edgesFromBatch = nodes.edges.filter((e) => e.source === node.id && e.sourceHandle === sourceHandle);
+          const edgesFromBatch = nodesState.edges.filter(
+            (e) => e.source === node.id && e.sourceHandle === sourceHandle
+          );
           if (batchGroupId !== 'None') {
             // If this batch node has a batch_group_id, we will zip the data collection items
             for (const edge of edgesFromBatch) {
@@ -97,6 +106,9 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) =
       const req = dispatch(queueApi.endpoints.enqueueBatch.initiate(batchConfig, enqueueMutationFixedCacheKeyOptions));
       try {
         await req.unwrap();
+        log.debug(parseify({ batchConfig }), 'Enqueued batch');
+      } catch (error) {
+        log.error({ error: serializeError(error) }, 'Failed to enqueue batch');
       } finally {
         req.reset();
       }

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

@@ -1,9 +1,14 @@
+import { logger } from 'app/logging/logger';
 import { enqueueRequested } from 'app/store/actions';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { parseify } from 'common/util/serialize';
 import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatchConfig';
 import { buildMultidiffusionUpscaleGraph } from 'features/nodes/util/graph/buildMultidiffusionUpscaleGraph';
+import { serializeError } from 'serialize-error';
 import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 
+const log = logger('generation');
+
 export const addEnqueueRequestedUpscale = (startAppListening: AppStartListening) => {
   startAppListening({
     predicate: (action): action is ReturnType<typeof enqueueRequested> =>
@@ -19,6 +24,9 @@ export const addEnqueueRequestedUpscale = (startAppListening: AppStartListening)
       const req = dispatch(queueApi.endpoints.enqueueBatch.initiate(batchConfig, enqueueMutationFixedCacheKeyOptions));
       try {
         await req.unwrap();
+        log.debug(parseify({ batchConfig }), 'Enqueued batch');
+      } catch (error) {
+        log.error({ error: serializeError(error) }, 'Failed to enqueue batch');
       } finally {
         req.reset();
       }

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

@@ -8,12 +8,13 @@ import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions'
 import { isModalOpenChanged } from 'features/deleteImageModal/store/slice';
 import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
 import { imageSelected } from 'features/gallery/store/gallerySlice';
-import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
-import { isImageFieldInputInstance } from 'features/nodes/types/field';
+import { fieldImageCollectionValueChanged, fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
+import { isImageFieldCollectionInputInstance, isImageFieldInputInstance } from 'features/nodes/types/field';
 import { isInvocationNode } from 'features/nodes/types/invocation';
 import { forEach, intersectionBy } from 'lodash-es';
 import { imagesApi } from 'services/api/endpoints/images';
 import type { ImageDTO } from 'services/api/types';
+import type { Param0 } from 'tsafe';
 
 const log = logger('gallery');
 
@@ -21,6 +22,7 @@ const log = logger('gallery');
 
 // Some utils to delete images from different parts of the app
 const deleteNodesImages = (state: RootState, dispatch: AppDispatch, imageDTO: ImageDTO) => {
+  const actions: Param0<typeof dispatch>[] = [];
   state.nodes.present.nodes.forEach((node) => {
     if (!isInvocationNode(node)) {
       return;
@@ -28,16 +30,28 @@ const deleteNodesImages = (state: RootState, dispatch: AppDispatch, imageDTO: Im
 
     forEach(node.data.inputs, (input) => {
       if (isImageFieldInputInstance(input) && input.value?.image_name === imageDTO.image_name) {
-        dispatch(
+        actions.push(
           fieldImageValueChanged({
             nodeId: node.data.id,
             fieldName: input.name,
             value: undefined,
           })
         );
+        return;
+      }
+      if (isImageFieldCollectionInputInstance(input)) {
+        actions.push(
+          fieldImageCollectionValueChanged({
+            nodeId: node.data.id,
+            fieldName: input.name,
+            value: input.value?.filter((value) => value?.image_name !== imageDTO.image_name),
+          })
+        );
       }
     });
   });
+
+  actions.forEach(dispatch);
 };
 
 const deleteControlLayerImages = (state: RootState, dispatch: AppDispatch, imageDTO: ImageDTO) => {

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

@@ -1,6 +1,6 @@
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { $nodeExecutionStates } from 'features/nodes/hooks/useExecutionState';
+import { $nodeExecutionStates } from 'features/nodes/hooks/useNodeExecutionState';
 import { workflowLoaded, workflowLoadRequested } from 'features/nodes/store/actions';
 import { $templates } from 'features/nodes/store/nodesSlice';
 import { $needsFit } from 'features/nodes/store/reactFlowInstance';
@@ -22,12 +22,18 @@ const getWorkflow = async (data: GraphAndWorkflowResponse, templates: Templates)
   if (data.workflow) {
     // Prefer to load the workflow if it's available - it has more information
     const parsed = JSON.parse(data.workflow);
-    return await validateWorkflow(parsed, templates, checkImageAccess, checkBoardAccess, checkModelAccess);
+    return await validateWorkflow({
+      workflow: parsed,
+      templates,
+      checkImageAccess,
+      checkBoardAccess,
+      checkModelAccess,
+    });
   } else if (data.graph) {
     // Else we fall back on the graph, using the graphToWorkflow function to convert and do layout
     const parsed = JSON.parse(data.graph);
     const workflow = graphToWorkflow(parsed as NonNullableGraph, true);
-    return await validateWorkflow(workflow, templates, checkImageAccess, checkBoardAccess, checkModelAccess);
+    return await validateWorkflow({ workflow, templates, checkImageAccess, checkBoardAccess, checkModelAccess });
   } else {
     throw new Error('No workflow or graph provided');
   }

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

@@ -26,7 +26,8 @@ export type AppFeature =
   | 'modelCache'
   | 'bulkDownload'
   | 'starterModels'
-  | 'hfToken';
+  | 'hfToken'
+  | 'retryQueueItem';
 /**
  * A disable-able Stable Diffusion feature
  */

invokeai/frontend/web/src/common/components/IAIImageFallback.tsx

@@ -1,5 +1,6 @@
-import type { As, ChakraProps, FlexProps } from '@invoke-ai/ui-library';
+import type { ChakraProps, FlexProps } from '@invoke-ai/ui-library';
 import { Flex, Icon, Skeleton, Spinner, Text } from '@invoke-ai/ui-library';
+import type { ElementType } from 'react';
 import { memo, useMemo } from 'react';
 import { PiImageBold } from 'react-icons/pi';
 import type { ImageDTO } from 'services/api/types';
@@ -28,7 +29,7 @@ IAILoadingImageFallback.displayName = 'IAILoadingImageFallback';
 
 type IAINoImageFallbackProps = FlexProps & {
   label?: string;
-  icon?: As | null;
+  icon?: ElementType | null;
   boxSize?: ChakraProps['boxSize'];
 };
 

invokeai/frontend/web/src/common/components/Loading/Loading.tsx

@@ -6,7 +6,18 @@ import { memo } from 'react';
 
 const Loading = () => {
   return (
-    <Flex position="relative" width="100dvw" height="100dvh" alignItems="center" justifyContent="center" bg="#151519">
+    <Flex
+      position="absolute"
+      width="100dvw"
+      height="100dvh"
+      alignItems="center"
+      justifyContent="center"
+      bg="#151519"
+      top={0}
+      right={0}
+      bottom={0}
+      left={0}
+    >
       <Image src={InvokeLogoWhite} w="8rem" h="8rem" />
       <Spinner
         label="Loading"

invokeai/frontend/web/src/common/components/NodeSelectionOverlay.tsx

@@ -1,39 +0,0 @@
-import { Box } from '@invoke-ai/ui-library';
-import { memo, useMemo } from 'react';
-
-type Props = {
-  isSelected: boolean;
-  isHovered: boolean;
-};
-const SelectionOverlay = ({ isSelected, isHovered }: Props) => {
-  const shadow = useMemo(() => {
-    if (isSelected && isHovered) {
-      return 'nodeHoveredSelected';
-    }
-    if (isSelected) {
-      return 'nodeSelected';
-    }
-    if (isHovered) {
-      return 'nodeHovered';
-    }
-    return undefined;
-  }, [isHovered, isSelected]);
-  return (
-    <Box
-      className="selection-box"
-      position="absolute"
-      top={0}
-      insetInlineEnd={0}
-      bottom={0}
-      insetInlineStart={0}
-      borderRadius="base"
-      opacity={isSelected || isHovered ? 1 : 0.5}
-      transitionProperty="common"
-      transitionDuration="0.1s"
-      pointerEvents="none"
-      shadow={shadow}
-    />
-  );
-};
-
-export default memo(SelectionOverlay);

invokeai/frontend/web/src/common/components/linkify.ts

@@ -0,0 +1,17 @@
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
+import type { Opts as LinkifyOpts } from 'linkifyjs';
+
+export const linkifySx: SystemStyleObject = {
+  a: {
+    fontWeight: 'semibold',
+  },
+  'a:hover': {
+    textDecoration: 'underline',
+  },
+};
+
+export const linkifyOptions: LinkifyOpts = {
+  target: '_blank',
+  rel: 'noopener noreferrer',
+  validate: (value) => /^https?:\/\//.test(value),
+};

invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts

@@ -1,238 +0,0 @@
-import { useToken } from '@invoke-ai/ui-library';
-
-export const useChakraThemeTokens = () => {
-  const [
-    base50,
-    base100,
-    base150,
-    base200,
-    base250,
-    base300,
-    base350,
-    base400,
-    base450,
-    base500,
-    base550,
-    base600,
-    base650,
-    base700,
-    base750,
-    base800,
-    base850,
-    base900,
-    base950,
-    accent50,
-    accent100,
-    accent150,
-    accent200,
-    accent250,
-    accent300,
-    accent350,
-    accent400,
-    accent450,
-    accent500,
-    accent550,
-    accent600,
-    accent650,
-    accent700,
-    accent750,
-    accent800,
-    accent850,
-    accent900,
-    accent950,
-    baseAlpha50,
-    baseAlpha100,
-    baseAlpha150,
-    baseAlpha200,
-    baseAlpha250,
-    baseAlpha300,
-    baseAlpha350,
-    baseAlpha400,
-    baseAlpha450,
-    baseAlpha500,
-    baseAlpha550,
-    baseAlpha600,
-    baseAlpha650,
-    baseAlpha700,
-    baseAlpha750,
-    baseAlpha800,
-    baseAlpha850,
-    baseAlpha900,
-    baseAlpha950,
-    accentAlpha50,
-    accentAlpha100,
-    accentAlpha150,
-    accentAlpha200,
-    accentAlpha250,
-    accentAlpha300,
-    accentAlpha350,
-    accentAlpha400,
-    accentAlpha450,
-    accentAlpha500,
-    accentAlpha550,
-    accentAlpha600,
-    accentAlpha650,
-    accentAlpha700,
-    accentAlpha750,
-    accentAlpha800,
-    accentAlpha850,
-    accentAlpha900,
-    accentAlpha950,
-  ] = useToken('colors', [
-    'base.50',
-    'base.100',
-    'base.150',
-    'base.200',
-    'base.250',
-    'base.300',
-    'base.350',
-    'base.400',
-    'base.450',
-    'base.500',
-    'base.550',
-    'base.600',
-    'base.650',
-    'base.700',
-    'base.750',
-    'base.800',
-    'base.850',
-    'base.900',
-    'base.950',
-    'accent.50',
-    'accent.100',
-    'accent.150',
-    'accent.200',
-    'accent.250',
-    'accent.300',
-    'accent.350',
-    'accent.400',
-    'accent.450',
-    'accent.500',
-    'accent.550',
-    'accent.600',
-    'accent.650',
-    'accent.700',
-    'accent.750',
-    'accent.800',
-    'accent.850',
-    'accent.900',
-    'accent.950',
-    'baseAlpha.50',
-    'baseAlpha.100',
-    'baseAlpha.150',
-    'baseAlpha.200',
-    'baseAlpha.250',
-    'baseAlpha.300',
-    'baseAlpha.350',
-    'baseAlpha.400',
-    'baseAlpha.450',
-    'baseAlpha.500',
-    'baseAlpha.550',
-    'baseAlpha.600',
-    'baseAlpha.650',
-    'baseAlpha.700',
-    'baseAlpha.750',
-    'baseAlpha.800',
-    'baseAlpha.850',
-    'baseAlpha.900',
-    'baseAlpha.950',
-    'accentAlpha.50',
-    'accentAlpha.100',
-    'accentAlpha.150',
-    'accentAlpha.200',
-    'accentAlpha.250',
-    'accentAlpha.300',
-    'accentAlpha.350',
-    'accentAlpha.400',
-    'accentAlpha.450',
-    'accentAlpha.500',
-    'accentAlpha.550',
-    'accentAlpha.600',
-    'accentAlpha.650',
-    'accentAlpha.700',
-    'accentAlpha.750',
-    'accentAlpha.800',
-    'accentAlpha.850',
-    'accentAlpha.900',
-    'accentAlpha.950',
-  ]);
-
-  return {
-    base50,
-    base100,
-    base150,
-    base200,
-    base250,
-    base300,
-    base350,
-    base400,
-    base450,
-    base500,
-    base550,
-    base600,
-    base650,
-    base700,
-    base750,
-    base800,
-    base850,
-    base900,
-    base950,
-    accent50,
-    accent100,
-    accent150,
-    accent200,
-    accent250,
-    accent300,
-    accent350,
-    accent400,
-    accent450,
-    accent500,
-    accent550,
-    accent600,
-    accent650,
-    accent700,
-    accent750,
-    accent800,
-    accent850,
-    accent900,
-    accent950,
-    baseAlpha50,
-    baseAlpha100,
-    baseAlpha150,
-    baseAlpha200,
-    baseAlpha250,
-    baseAlpha300,
-    baseAlpha350,
-    baseAlpha400,
-    baseAlpha450,
-    baseAlpha500,
-    baseAlpha550,
-    baseAlpha600,
-    baseAlpha650,
-    baseAlpha700,
-    baseAlpha750,
-    baseAlpha800,
-    baseAlpha850,
-    baseAlpha900,
-    baseAlpha950,
-    accentAlpha50,
-    accentAlpha100,
-    accentAlpha150,
-    accentAlpha200,
-    accentAlpha250,
-    accentAlpha300,
-    accentAlpha350,
-    accentAlpha400,
-    accentAlpha450,
-    accentAlpha500,
-    accentAlpha550,
-    accentAlpha600,
-    accentAlpha650,
-    accentAlpha700,
-    accentAlpha750,
-    accentAlpha800,
-    accentAlpha850,
-    accentAlpha900,
-    accentAlpha950,
-  };
-};

invokeai/frontend/web/src/common/hooks/useCopyImageToClipboard.ts

@@ -1,5 +1,7 @@
+import { useAppDispatch } from 'app/store/storeHooks';
 import { useClipboard } from 'common/hooks/useClipboard';
 import { convertImageUrlToBlob } from 'common/util/convertImageUrlToBlob';
+import { imageCopiedToClipboard } from 'features/gallery/store/actions';
 import { toast } from 'features/toast/toast';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -7,6 +9,7 @@ import { useTranslation } from 'react-i18next';
 export const useCopyImageToClipboard = () => {
   const { t } = useTranslation();
   const clipboard = useClipboard();
+  const dispatch = useAppDispatch();
 
   const copyImageToClipboard = useCallback(
     async (image_url: string) => {
@@ -23,6 +26,7 @@ export const useCopyImageToClipboard = () => {
             title: t('toast.imageCopied'),
             status: 'success',
           });
+          dispatch(imageCopiedToClipboard());
         });
       } catch (err) {
         toast({
@@ -33,7 +37,7 @@ export const useCopyImageToClipboard = () => {
         });
       }
     },
-    [clipboard, t]
+    [clipboard, t, dispatch]
   );
 
   return copyImageToClipboard;

invokeai/frontend/web/src/common/hooks/useEditable.ts

@@ -0,0 +1,72 @@
+import type { ChangeEvent, KeyboardEvent, RefObject } from 'react';
+import { useCallback, useEffect, useState } from 'react';
+
+type UseEditableArg = {
+  value: string;
+  defaultValue: string;
+  onChange: (value: string) => void;
+  onStartEditing?: () => void;
+  inputRef?: RefObject<HTMLInputElement | HTMLTextAreaElement>;
+};
+
+export const useEditable = ({ value, defaultValue, onChange: _onChange, onStartEditing, inputRef }: UseEditableArg) => {
+  const [isEditing, setIsEditing] = useState(false);
+  const [localValue, setLocalValue] = useState(value);
+
+  const onBlur = useCallback(() => {
+    const trimmedValue = localValue.trim();
+    const newValue = trimmedValue || defaultValue;
+    setLocalValue(newValue);
+    if (newValue !== value) {
+      _onChange(newValue);
+    }
+    setIsEditing(false);
+    inputRef?.current?.setSelectionRange(0, 0);
+  }, [localValue, defaultValue, value, inputRef, _onChange]);
+
+  const onChange = useCallback((e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement>) => {
+    setLocalValue(e.target.value);
+  }, []);
+
+  const onKeyDown = useCallback(
+    (e: KeyboardEvent<HTMLInputElement | HTMLTextAreaElement>) => {
+      if (e.key === 'Enter' && !e.shiftKey) {
+        onBlur();
+      } else if (e.key === 'Escape') {
+        setLocalValue(value);
+        _onChange(value);
+        setIsEditing(false);
+      }
+    },
+    [_onChange, onBlur, value]
+  );
+
+  const startEditing = useCallback(() => {
+    setIsEditing(true);
+    onStartEditing?.();
+  }, [onStartEditing]);
+
+  useEffect(() => {
+    // Another component may change the title; sync local title with global state
+    setLocalValue(value);
+  }, [value]);
+
+  useEffect(() => {
+    if (isEditing) {
+      inputRef?.current?.focus();
+      inputRef?.current?.select();
+    }
+  }, [inputRef, isEditing]);
+
+  return {
+    isEditing,
+    startEditing,
+    value: localValue,
+    inputProps: {
+      value: localValue,
+      onChange,
+      onKeyDown,
+      onBlur,
+    },
+  };
+};

invokeai/frontend/web/src/features/controlLayers/components/ControlLayer/ControlLayerControlAdapter.tsx

@@ -1,5 +1,5 @@
 import { Flex, IconButton } from '@invoke-ai/ui-library';
-import { createMemoizedAppSelector } from 'app/store/createMemoizedSelector';
+import { createSelector } from '@reduxjs/toolkit';
 import { useAppStore } from 'app/store/nanostores/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
@@ -34,7 +34,7 @@ import type {
 } from 'services/api/types';
 
 const buildSelectControlAdapter = (entityIdentifier: CanvasEntityIdentifier<'control_layer'>) =>
-  createMemoizedAppSelector(selectCanvasSlice, (canvas) => {
+  createSelector(selectCanvasSlice, (canvas) => {
     const layer = selectEntityOrThrow(canvas, entityIdentifier, 'ControlLayerControlAdapter');
     return layer.controlAdapter;
   });

invokeai/frontend/web/src/features/controlLayers/components/common/CanvasEntityTitleEdit.tsx

@@ -1,67 +1,43 @@
 import { Input } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { useBoolean } from 'common/hooks/useBoolean';
+import { useEditable } from 'common/hooks/useEditable';
 import { CanvasEntityTitle } from 'features/controlLayers/components/common/CanvasEntityTitle';
 import { useEntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
-import { useEntityTitle } from 'features/controlLayers/hooks/useEntityTitle';
+import { useEntityName, useEntityTypeName } from 'features/controlLayers/hooks/useEntityTitle';
 import { entityNameChanged } from 'features/controlLayers/store/canvasSlice';
-import type { ChangeEvent, KeyboardEvent } from 'react';
-import { memo, useCallback, useEffect, useRef, useState } from 'react';
+import { memo, useCallback, useRef } from 'react';
 
 export const CanvasEntityEditableTitle = memo(() => {
   const dispatch = useAppDispatch();
   const entityIdentifier = useEntityIdentifierContext();
-  const title = useEntityTitle(entityIdentifier);
-  const isEditing = useBoolean(false);
-  const [localTitle, setLocalTitle] = useState(title);
-  const ref = useRef<HTMLInputElement>(null);
+  const inputRef = useRef<HTMLInputElement>(null);
+  const name = useEntityName(entityIdentifier);
+  const typeName = useEntityTypeName(entityIdentifier.type);
 
-  const onChange = useCallback((e: ChangeEvent<HTMLInputElement>) => {
-    setLocalTitle(e.target.value);
-  }, []);
-
-  const onBlur = useCallback(() => {
-    const trimmedTitle = localTitle.trim();
-    if (trimmedTitle.length === 0) {
-      dispatch(entityNameChanged({ entityIdentifier, name: null }));
-    } else if (trimmedTitle !== title) {
-      dispatch(entityNameChanged({ entityIdentifier, name: trimmedTitle }));
-    }
-    isEditing.setFalse();
-  }, [dispatch, entityIdentifier, isEditing, localTitle, title]);
-
-  const onKeyDown = useCallback(
-    (e: KeyboardEvent<HTMLInputElement>) => {
-      if (e.key === 'Enter') {
-        onBlur();
-      } else if (e.key === 'Escape') {
-        setLocalTitle(title);
-        isEditing.setFalse();
-      }
+  const onChange = useCallback(
+    (name: string) => {
+      dispatch(entityNameChanged({ entityIdentifier, name }));
     },
-    [isEditing, onBlur, title]
+    [dispatch, entityIdentifier]
   );
 
-  useEffect(() => {
-    if (isEditing.isTrue) {
-      ref.current?.focus();
-      ref.current?.select();
-    }
-  }, [isEditing.isTrue]);
+  const editable = useEditable({
+    value: name || typeName,
+    defaultValue: typeName,
+    onChange,
+    inputRef,
+  });
 
-  if (!isEditing.isTrue) {
-    return <CanvasEntityTitle cursor="text" onDoubleClick={isEditing.setTrue} />;
+  if (!editable.isEditing) {
+    return <CanvasEntityTitle cursor="text" onDoubleClick={editable.startEditing} />;
   }
 
   return (
     <Input
-      ref={ref}
-      value={localTitle}
-      onChange={onChange}
-      onBlur={onBlur}
-      onKeyDown={onKeyDown}
+      ref={inputRef}
+      {...editable.inputProps}
       variant="outline"
-      _focusVisible={{ borderWidth: 1, borderColor: 'invokeBlueAlpha.400', borderRadius: 'base' }}
+      _focusVisible={{ borderRadius: 'base', h: 'unset' }}
     />
   );
 });

invokeai/frontend/web/src/features/controlLayers/hooks/useEntityTitle.ts

@@ -15,17 +15,17 @@ const createSelectName = (entityIdentifier: CanvasEntityIdentifier) =>
     return entity.name;
   });
 
-export const useEntityTitle = (entityIdentifier: CanvasEntityIdentifier) => {
-  const { t } = useTranslation();
+export const useEntityName = (entityIdentifier: CanvasEntityIdentifier) => {
   const selectName = useMemo(() => createSelectName(entityIdentifier), [entityIdentifier]);
   const name = useAppSelector(selectName);
+  return name;
+};
 
-  const title = useMemo(() => {
-    if (name) {
-      return name;
-    }
+export const useEntityTypeName = (type: CanvasEntityIdentifier['type']) => {
+  const { t } = useTranslation();
 
-    switch (entityIdentifier.type) {
+  const typeName = useMemo(() => {
+    switch (type) {
       case 'inpaint_mask':
         return t('controlLayers.inpaintMask');
       case 'control_layer':
@@ -39,7 +39,15 @@ export const useEntityTitle = (entityIdentifier: CanvasEntityIdentifier) => {
       default:
         assert(false, 'Unexpected entity type');
     }
-  }, [entityIdentifier.type, name, t]);
+  }, [type, t]);
+
+  return typeName;
+};
+
+export const useEntityTitle = (entityIdentifier: CanvasEntityIdentifier) => {
+  const name = useEntityName(entityIdentifier);
+  const typeName = useEntityTypeName(entityIdentifier.type);
+  const title = useMemo(() => name || typeName, [name, typeName]);
 
   return title;
 };

invokeai/frontend/web/src/features/controlLayers/konva/CanvasEntity/CanvasEntityAdapterInpaintMask.ts

@@ -59,11 +59,11 @@ export class CanvasEntityAdapterInpaintMask extends CanvasEntityAdapterBase<
       this.syncOpacity();
     }
     if (!prevState || this.state.fill !== prevState.fill) {
-      // On first render, we must force the update
-      this.renderer.updateCompositingRectFill(!prevState);
+      // On first render, or when the fill changes, we must force the update
+      this.renderer.updateCompositingRectFill(true);
     }
-    if (!prevState) {
-      // On first render, we must force the updates
+    if (!prevState || this.state.objects !== prevState.objects) {
+      // On first render, or when the objects change, we must force the update
       this.renderer.updateCompositingRectSize(true);
       this.renderer.updateCompositingRectPosition(true);
     }

invokeai/frontend/web/src/features/controlLayers/konva/CanvasEntity/CanvasEntityAdapterRegionalGuidance.ts

@@ -59,11 +59,11 @@ export class CanvasEntityAdapterRegionalGuidance extends CanvasEntityAdapterBase
       this.syncOpacity();
     }
     if (!prevState || this.state.fill !== prevState.fill) {
-      // On first render, we must force the update
-      this.renderer.updateCompositingRectFill(!prevState);
+      // On first render, or when the fill changes, we must force the update
+      this.renderer.updateCompositingRectFill(true);
     }
-    if (!prevState) {
-      // On first render, we must force the updates
+    if (!prevState || this.state.objects !== prevState.objects) {
+      // On first render, or when the objects change, we must force the update
       this.renderer.updateCompositingRectSize(true);
       this.renderer.updateCompositingRectPosition(true);
     }

invokeai/frontend/web/src/features/controlLayers/konva/CanvasEntity/CanvasEntityFilterer.ts

@@ -284,8 +284,8 @@ export class CanvasEntityFilterer extends CanvasModuleBase {
       this.log.error({ error: serializeError(filterResult.error) }, 'Error filtering');
       this.$isProcessing.set(false);
       // Clean up the abort controller as needed
-      if (!this.abortController.signal.aborted) {
-        this.abortController.abort();
+      if (!controller.signal.aborted) {
+        controller.abort();
       }
       this.abortController = null;
       return;
@@ -324,8 +324,8 @@ export class CanvasEntityFilterer extends CanvasModuleBase {
     this.$isProcessing.set(false);
 
     // Clean up the abort controller as needed
-    if (!this.abortController.signal.aborted) {
-      this.abortController.abort();
+    if (!controller.signal.aborted) {
+      controller.abort();
     }
 
     this.abortController = null;

invokeai/frontend/web/src/features/controlLayers/konva/CanvasTool/CanvasBrushToolModule.ts

@@ -277,8 +277,11 @@ export class CanvasBrushToolModule extends CanvasModuleBase {
 
       let points: number[];
 
+      let isShiftDraw = false;
+
       if (e.evt.shiftKey && lastLinePoint) {
         // Create a straight line from the last line point
+        isShiftDraw = true;
         points = [
           lastLinePoint.x,
           lastLinePoint.y,
@@ -298,15 +301,18 @@ export class CanvasBrushToolModule extends CanvasModuleBase {
         points,
         strokeWidth: settings.brushWidth,
         color: this.manager.stateApi.getCurrentColor(),
-        clip: this.parent.getClip(selectedEntity.state),
+        // When shift is held, the line may extend beyond the clip region. No clip for these lines.
+        clip: isShiftDraw ? null : this.parent.getClip(selectedEntity.state),
       });
     } else {
       const lastLinePoint = getLastPointOfLastLine(selectedEntity.state.objects, 'brush_line');
 
       let points: number[];
+      let isShiftDraw = false;
 
       if (e.evt.shiftKey && lastLinePoint) {
         // Create a straight line from the last line point
+        isShiftDraw = true;
         points = [lastLinePoint.x, lastLinePoint.y, alignedPoint.x, alignedPoint.y];
       } else {
         // Create a new line with the current point
@@ -319,7 +325,8 @@ export class CanvasBrushToolModule extends CanvasModuleBase {
         points,
         strokeWidth: settings.brushWidth,
         color: this.manager.stateApi.getCurrentColor(),
-        clip: this.parent.getClip(selectedEntity.state),
+        // When shift is held, the line may extend beyond the clip region. No clip for these lines.
+        clip: isShiftDraw ? null : this.parent.getClip(selectedEntity.state),
       });
     }
   };

invokeai/frontend/web/src/features/controlLayers/konva/CanvasTool/CanvasColorPickerToolModule.ts

@@ -3,7 +3,7 @@ import type { CanvasManager } from 'features/controlLayers/konva/CanvasManager';
 import { CanvasModuleBase } from 'features/controlLayers/konva/CanvasModuleBase';
 import type { CanvasToolModule } from 'features/controlLayers/konva/CanvasTool/CanvasToolModule';
 import { getColorAtCoordinate, getPrefixedId } from 'features/controlLayers/konva/util';
-import type { RgbColor } from 'features/controlLayers/store/types';
+import type { RgbaColor } from 'features/controlLayers/store/types';
 import { RGBA_BLACK } from 'features/controlLayers/store/types';
 import Konva from 'konva';
 import type { KonvaEventObject } from 'konva/lib/Node';
@@ -52,6 +52,39 @@ type CanvasColorPickerToolModuleConfig = {
    * The color of the crosshair line borders.
    */
   CROSSHAIR_BORDER_COLOR: string;
+  /**
+   * The color of the RGBA value text.
+   */
+  TEXT_COLOR: string;
+  /**
+   * The padding of the RGBA value text within the background rect.
+   */
+
+  TEXT_PADDING: number;
+  /**
+   * The font size of the RGBA value text.
+   */
+  TEXT_FONT_SIZE: number;
+  /**
+   * The color of the RGBA value text background rect.
+   */
+  TEXT_BG_COLOR: string;
+  /**
+   * The width of the RGBA value text background rect.
+   */
+  TEXT_BG_WIDTH: number;
+  /**
+   * The height of the RGBA value text background rect.
+   */
+  TEXT_BG_HEIGHT: number;
+  /**
+   * The corner radius of the RGBA value text background rect.
+   */
+  TEXT_BG_CORNER_RADIUS: number;
+  /**
+   * The x offset of the RGBA value text background rect from the color picker ring.
+   */
+  TEXT_BG_X_OFFSET: number;
 };
 
 const DEFAULT_CONFIG: CanvasColorPickerToolModuleConfig = {
@@ -65,6 +98,14 @@ const DEFAULT_CONFIG: CanvasColorPickerToolModuleConfig = {
   CROSSHAIR_LINE_LENGTH: 10,
   CROSSHAIR_LINE_COLOR: 'rgba(0,0,0,1)',
   CROSSHAIR_BORDER_COLOR: 'rgba(255,255,255,0.8)',
+  TEXT_COLOR: 'rgba(255,255,255,1)',
+  TEXT_BG_COLOR: 'rgba(0,0,0,0.8)',
+  TEXT_BG_HEIGHT: 62,
+  TEXT_BG_WIDTH: 62,
+  TEXT_BG_CORNER_RADIUS: 7,
+  TEXT_PADDING: 8,
+  TEXT_FONT_SIZE: 12,
+  TEXT_BG_X_OFFSET: 7,
 };
 
 /**
@@ -83,7 +124,7 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
   /**
    * The color currently under the cursor. Only has a value when the color picker tool is active.
    */
-  $colorUnderCursor = atom<RgbColor>(RGBA_BLACK);
+  $colorUnderCursor = atom<RgbaColor>(RGBA_BLACK);
 
   /**
    * The Konva objects that make up the color picker tool preview:
@@ -105,6 +146,9 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
     crosshairSouthOuter: Konva.Line;
     crosshairWestInner: Konva.Line;
     crosshairWestOuter: Konva.Line;
+    rgbaTextGroup: Konva.Group;
+    rgbaText: Konva.Text;
+    rgbaTextBackground: Konva.Rect;
   };
 
   constructor(parent: CanvasToolModule) {
@@ -202,8 +246,28 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
         stroke: this.config.CROSSHAIR_BORDER_COLOR,
         perfectDrawEnabled: false,
       }),
+      rgbaTextGroup: new Konva.Group({
+        listening: false,
+        name: `${this.type}:color_picker_text_group`,
+      }),
+      rgbaText: new Konva.Text({
+        listening: false,
+        name: `${this.type}:color_picker_text`,
+        fill: this.config.TEXT_COLOR,
+        fontFamily: 'monospace',
+        align: 'left',
+        fontStyle: 'bold',
+        verticalAlign: 'middle',
+      }),
+      rgbaTextBackground: new Konva.Rect({
+        listening: false,
+        name: `${this.type}:color_picker_text_background`,
+        fill: this.config.TEXT_BG_COLOR,
+      }),
     };
 
+    this.konva.rgbaTextGroup.add(this.konva.rgbaTextBackground, this.konva.rgbaText);
+
     this.konva.group.add(
       this.konva.ringCandidateColor,
       this.konva.ringCurrentColor,
@@ -216,7 +280,8 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
       this.konva.crosshairSouthOuter,
       this.konva.crosshairSouthInner,
       this.konva.crosshairWestOuter,
-      this.konva.crosshairWestInner
+      this.konva.crosshairWestInner,
+      this.konva.rgbaTextGroup
     );
   }
 
@@ -233,11 +298,6 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
       return;
     }
 
-    if (!this.parent.getCanDraw()) {
-      this.setVisibility(false);
-      return;
-    }
-
     const cursorPos = this.parent.$cursorPos.get();
 
     if (!cursorPos) {
@@ -283,6 +343,24 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
       outerRadius: colorPickerOuterRadius + twoPixels,
     });
 
+    const textBgWidth = this.manager.stage.unscale(this.config.TEXT_BG_WIDTH);
+    const textBgHeight = this.manager.stage.unscale(this.config.TEXT_BG_HEIGHT);
+
+    this.konva.rgbaTextBackground.setAttrs({
+      width: textBgWidth,
+      height: textBgHeight,
+      cornerRadius: this.manager.stage.unscale(this.config.TEXT_BG_CORNER_RADIUS),
+    });
+    this.konva.rgbaText.setAttrs({
+      padding: this.manager.stage.unscale(this.config.TEXT_PADDING),
+      fontSize: this.manager.stage.unscale(this.config.TEXT_FONT_SIZE),
+      text: `R: ${colorUnderCursor.r}\nG: ${colorUnderCursor.g}\nB: ${colorUnderCursor.b}\nA: ${colorUnderCursor.a}`,
+    });
+    this.konva.rgbaTextGroup.setAttrs({
+      x: x + this.manager.stage.unscale(this.config.RING_OUTER_RADIUS + this.config.TEXT_BG_X_OFFSET),
+      y: y - textBgHeight / 2,
+    });
+
     const size = this.manager.stage.unscale(this.config.CROSSHAIR_LINE_LENGTH);
     const space = this.manager.stage.unscale(this.config.CROSSHAIR_INNER_RADIUS);
     const innerThickness = this.manager.stage.unscale(this.config.CROSSHAIR_LINE_THICKNESS);
@@ -329,11 +407,8 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
 
   onStagePointerUp = (_e: KonvaEventObject<PointerEvent>) => {
     const color = this.$colorUnderCursor.get();
-    if (color) {
-      const settings = this.manager.stateApi.getSettings();
-      // This will update the color but not the alpha value
-      this.manager.stateApi.setColor({ ...settings.color, ...color });
-    }
+    const settings = this.manager.stateApi.getSettings();
+    this.manager.stateApi.setColor({ ...settings.color, ...color });
   };
 
   onStagePointerMove = (_e: KonvaEventObject<PointerEvent>) => {
@@ -346,7 +421,11 @@ export class CanvasColorPickerToolModule extends CanvasModuleBase {
       return;
     }
 
+    // Hide the background layer so we can get the color under the cursor without the grid interfering
+    this.manager.background.konva.layer.visible(false);
     const color = getColorAtCoordinate(this.manager.stage.konva.stage, cursorPos.absolute);
+    this.manager.background.konva.layer.visible(true);
+
     if (color) {
       this.$colorUnderCursor.set(color);
     }

invokeai/frontend/web/src/features/controlLayers/konva/CanvasTool/CanvasToolModule.ts

@@ -22,6 +22,7 @@ import type {
   Coordinate,
   Tool,
 } from 'features/controlLayers/store/types';
+import { isRenderableEntityType } from 'features/controlLayers/store/types';
 import Konva from 'konva';
 import type { KonvaEventObject } from 'konva/lib/Node';
 import { atom } from 'nanostores';
@@ -177,24 +178,26 @@ export class CanvasToolModule extends CanvasModuleBase {
       stage.setCursor('not-allowed');
     } else if (tool === 'bbox') {
       this.tools.bbox.syncCursorStyle();
-    } else if (this.manager.stateApi.getRenderedEntityCount() === 0) {
-      stage.setCursor('not-allowed');
-    } else if (selectedEntityAdapter?.$isDisabled.get()) {
-      stage.setCursor('not-allowed');
-    } else if (selectedEntityAdapter?.$isEntityTypeHidden.get()) {
-      stage.setCursor('not-allowed');
-    } else if (selectedEntityAdapter?.$isLocked.get()) {
-      stage.setCursor('not-allowed');
-    } else if (tool === 'brush') {
-      this.tools.brush.syncCursorStyle();
-    } else if (tool === 'eraser') {
-      this.tools.eraser.syncCursorStyle();
     } else if (tool === 'colorPicker') {
       this.tools.colorPicker.syncCursorStyle();
-    } else if (tool === 'move') {
-      this.tools.move.syncCursorStyle();
-    } else if (tool === 'rect') {
-      this.tools.rect.syncCursorStyle();
+    } else if (selectedEntityAdapter && isRenderableEntityType(selectedEntityAdapter.entityIdentifier.type)) {
+      if (selectedEntityAdapter.$isDisabled.get()) {
+        stage.setCursor('not-allowed');
+      } else if (selectedEntityAdapter.$isEntityTypeHidden.get()) {
+        stage.setCursor('not-allowed');
+      } else if (selectedEntityAdapter.$isLocked.get()) {
+        stage.setCursor('not-allowed');
+      } else if (tool === 'brush') {
+        this.tools.brush.syncCursorStyle();
+      } else if (tool === 'eraser') {
+        this.tools.eraser.syncCursorStyle();
+      } else if (tool === 'move') {
+        this.tools.move.syncCursorStyle();
+      } else if (tool === 'rect') {
+        this.tools.rect.syncCursorStyle();
+      }
+    } else if (this.manager.stateApi.getRenderedEntityCount() === 0) {
+      stage.setCursor('not-allowed');
     } else {
       stage.setCursor('not-allowed');
     }
@@ -387,15 +390,17 @@ export class CanvasToolModule extends CanvasModuleBase {
     try {
       this.$lastPointerType.set(e.evt.pointerType);
 
-      if (!this.getCanDraw()) {
-        return;
-      }
-
       const tool = this.$tool.get();
 
       if (tool === 'colorPicker') {
         this.tools.colorPicker.onStagePointerUp(e);
-      } else if (tool === 'brush') {
+      }
+
+      if (!this.getCanDraw()) {
+        return;
+      }
+
+      if (tool === 'brush') {
         this.tools.brush.onStagePointerUp(e);
       } else if (tool === 'eraser') {
         this.tools.eraser.onStagePointerUp(e);
@@ -416,15 +421,17 @@ export class CanvasToolModule extends CanvasModuleBase {
       this.$lastPointerType.set(e.evt.pointerType);
       this.syncCursorPositions();
 
-      if (!this.getCanDraw()) {
-        return;
-      }
-
       const tool = this.$tool.get();
 
       if (tool === 'colorPicker') {
         this.tools.colorPicker.onStagePointerMove(e);
-      } else if (tool === 'brush') {
+      }
+
+      if (!this.getCanDraw()) {
+        return;
+      }
+
+      if (tool === 'brush') {
         await this.tools.brush.onStagePointerMove(e);
       } else if (tool === 'eraser') {
         await this.tools.eraser.onStagePointerMove(e);

invokeai/frontend/web/src/features/controlLayers/konva/util.ts

@@ -7,6 +7,7 @@ import type {
   Coordinate,
   CoordinateWithPressure,
   Rect,
+  RgbaColor,
 } from 'features/controlLayers/store/types';
 import type Konva from 'konva';
 import type { KonvaEventObject } from 'konva/lib/Node';
@@ -15,7 +16,6 @@ import { clamp } from 'lodash-es';
 import { customAlphabet } from 'nanoid';
 import type { StrokeOptions } from 'perfect-freehand';
 import getStroke from 'perfect-freehand';
-import type { RgbColor } from 'react-colorful';
 import { assert } from 'tsafe';
 
 /**
@@ -484,9 +484,10 @@ export function loadImage(src: string): Promise<HTMLImageElement> {
 export const nanoid = customAlphabet('0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz', 10);
 
 export function getPrefixedId(
-  prefix: CanvasEntityIdentifier['type'] | CanvasObjectState['type'] | (string & Record<never, never>)
+  prefix: CanvasEntityIdentifier['type'] | CanvasObjectState['type'] | (string & Record<never, never>),
+  separator = ':'
 ): string {
-  return `${prefix}:${nanoid()}`;
+  return `${prefix}${separator}${nanoid()}`;
 }
 
 export const getEmptyRect = (): Rect => {
@@ -723,7 +724,7 @@ export const getPointerType = (e: KonvaEventObject<PointerEvent>): 'mouse' | 'pe
  * @param coord The coordinate to get the color at. This must be the _absolute_ coordinate on the stage.
  * @returns The color under the coordinate, or null if there was a problem getting the color.
  */
-export const getColorAtCoordinate = (stage: Konva.Stage, coord: Coordinate): RgbColor | null => {
+export const getColorAtCoordinate = (stage: Konva.Stage, coord: Coordinate): RgbaColor | null => {
   const ctx = stage
     .toCanvas({ x: coord.x, y: coord.y, width: 1, height: 1, imageSmoothingEnabled: false })
     .getContext('2d');
@@ -732,13 +733,13 @@ export const getColorAtCoordinate = (stage: Konva.Stage, coord: Coordinate): Rgb
     return null;
   }
 
-  const [r, g, b, _a] = ctx.getImageData(0, 0, 1, 1).data;
+  const [r, g, b, a] = ctx.getImageData(0, 0, 1, 1).data;
 
-  if (r === undefined || g === undefined || b === undefined) {
+  if (r === undefined || g === undefined || b === undefined || a === undefined) {
     return null;
   }
 
-  return { r, g, b };
+  return { r, g, b, a };
 };
 
 export const roundRect = (rect: Rect): Rect => {

invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts

@@ -4,7 +4,7 @@ import type { CanvasState } from 'features/controlLayers/store/types';
 import { selectDeleteImageModalSlice } from 'features/deleteImageModal/store/slice';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
 import type { NodesState } from 'features/nodes/store/types';
-import { isImageFieldInputInstance } from 'features/nodes/types/field';
+import { isImageFieldCollectionInputInstance, isImageFieldInputInstance } from 'features/nodes/types/field';
 import { isInvocationNode } from 'features/nodes/types/invocation';
 import type { UpscaleState } from 'features/parameters/store/upscaleSlice';
 import { selectUpscaleSlice } from 'features/parameters/store/upscaleSlice';
@@ -13,11 +13,23 @@ import { some } from 'lodash-es';
 import type { ImageUsage } from './types';
 // TODO(psyche): handle image deletion (canvas staging area?)
 export const getImageUsage = (nodes: NodesState, canvas: CanvasState, upscale: UpscaleState, image_name: string) => {
-  const isNodesImage = nodes.nodes
-    .filter(isInvocationNode)
-    .some((node) =>
-      some(node.data.inputs, (input) => isImageFieldInputInstance(input) && input.value?.image_name === image_name)
-    );
+  const isNodesImage = nodes.nodes.filter(isInvocationNode).some((node) =>
+    some(node.data.inputs, (input) => {
+      if (isImageFieldInputInstance(input)) {
+        if (input.value?.image_name === image_name) {
+          return true;
+        }
+      }
+
+      if (isImageFieldCollectionInputInstance(input)) {
+        if (input.value?.some((value) => value?.image_name === image_name)) {
+          return true;
+        }
+      }
+
+      return false;
+    })
+  );
 
   const isUpscaleImage = upscale.upscaleInitialImage?.image_name === image_name;
 

invokeai/frontend/web/src/features/dnd/DndListDropIndicator.tsx

@@ -9,7 +9,8 @@ import type { DndListTargetState } from 'features/dnd/types';
  */
 const line = {
   thickness: 2,
-  backgroundColor: 'base.500',
+  backgroundColor: 'red',
+  // backgroundColor: 'base.500',
 };
 
 type DropIndicatorProps = {
@@ -104,7 +105,7 @@ function DndDropIndicatorInternal({ edge, gap = '0px' }: DropIndicatorProps) {
   );
 }
 
-export const DndListDropIndicator = ({ dndState }: { dndState: DndListTargetState }) => {
+export const DndListDropIndicator = ({ dndState, gap }: { dndState: DndListTargetState; gap?: string }) => {
   if (dndState.type !== 'is-dragging-over') {
     return null;
   }
@@ -117,7 +118,7 @@ export const DndListDropIndicator = ({ dndState }: { dndState: DndListTargetStat
     <DndDropIndicatorInternal
       edge={dndState.closestEdge}
       // This is the gap between items in the list, used to calculate the position of the drop indicator
-      gap="var(--invoke-space-2)"
+      gap={gap || 'var(--invoke-space-2)'}
     />
   );
 };

invokeai/frontend/web/src/features/dnd/dnd.ts

@@ -20,7 +20,7 @@ import {
   setUpscaleInitialImage,
 } from 'features/imageActions/actions';
 import { fieldImageCollectionValueChanged } from 'features/nodes/store/nodesSlice';
-import { selectFieldInputInstance, selectNodesSlice } from 'features/nodes/store/selectors';
+import { selectFieldInputInstanceSafe, selectNodesSlice } from 'features/nodes/store/selectors';
 import { type FieldIdentifier, isImageFieldCollectionInputInstance } from 'features/nodes/types/field';
 import type { ImageDTO } from 'services/api/types';
 import type { JsonObject } from 'type-fest';
@@ -108,18 +108,6 @@ export const singleCanvasEntityDndSource: DndSource<SingleCanvasEntityDndSourceD
   getData: buildGetData(_singleCanvasEntity.key, _singleCanvasEntity.type),
 };
 
-const _singleWorkflowField = buildTypeAndKey('single-workflow-field');
-type SingleWorkflowFieldDndSourceData = DndData<
-  typeof _singleWorkflowField.type,
-  typeof _singleWorkflowField.key,
-  { fieldIdentifier: FieldIdentifier }
->;
-export const singleWorkflowFieldDndSource: DndSource<SingleWorkflowFieldDndSourceData> = {
-  ..._singleWorkflowField,
-  typeGuard: buildTypeGuard(_singleWorkflowField.key),
-  getData: buildGetData(_singleWorkflowField.key, _singleWorkflowField.type),
-};
-
 type DndTarget<TargetData extends DndData, SourceData extends DndData> = {
   key: symbol;
   type: TargetData['type'];
@@ -273,7 +261,7 @@ export const addImagesToNodeImageFieldCollectionDndTarget: DndTarget<
 
     const { fieldIdentifier } = targetData.payload;
 
-    const fieldInputInstance = selectFieldInputInstance(
+    const fieldInputInstance = selectFieldInputInstanceSafe(
       selectNodesSlice(getState()),
       fieldIdentifier.nodeId,
       fieldIdentifier.fieldName

invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardEditableTitle.tsx

@@ -1,9 +1,9 @@
 import { Flex, IconButton, Input, Text } from '@invoke-ai/ui-library';
 import { useBoolean } from 'common/hooks/useBoolean';
+import { useEditable } from 'common/hooks/useEditable';
 import { withResultAsync } from 'common/util/result';
 import { toast } from 'features/toast/toast';
-import type { ChangeEvent, KeyboardEvent } from 'react';
-import { memo, useCallback, useEffect, useRef, useState } from 'react';
+import { memo, useCallback, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiPencilBold } from 'react-icons/pi';
 import { useUpdateBoardMutation } from 'services/api/endpoints/boards';
@@ -16,85 +16,54 @@ type Props = {
 
 export const BoardEditableTitle = memo(({ board, isSelected }: Props) => {
   const { t } = useTranslation();
-  const isEditing = useBoolean(false);
-  const [isHovering, setIsHovering] = useState(false);
-  const [localTitle, setLocalTitle] = useState(board.board_name);
-  const ref = useRef<HTMLInputElement>(null);
+  const isHovering = useBoolean(false);
+  const inputRef = useRef<HTMLInputElement>(null);
   const [updateBoard, updateBoardResult] = useUpdateBoardMutation();
 
-  const onChange = useCallback((e: ChangeEvent<HTMLInputElement>) => {
-    setLocalTitle(e.target.value);
-  }, []);
-
-  const onEdit = useCallback(() => {
-    isEditing.setTrue();
-    setIsHovering(false);
-  }, [isEditing]);
-
-  const onBlur = useCallback(async () => {
-    const trimmedTitle = localTitle.trim();
-    isEditing.setFalse();
-    if (trimmedTitle.length === 0) {
-      setLocalTitle(board.board_name);
-    } else if (trimmedTitle !== board.board_name) {
-      setLocalTitle(trimmedTitle);
+  const onChange = useCallback(
+    async (board_name: string) => {
       const result = await withResultAsync(() =>
-        updateBoard({ board_id: board.board_id, changes: { board_name: trimmedTitle } }).unwrap()
+        updateBoard({ board_id: board.board_id, changes: { board_name } }).unwrap()
       );
       if (result.isErr()) {
-        setLocalTitle(board.board_name);
         toast({
           status: 'error',
           title: t('boards.updateBoardError'),
         });
-      } else {
-        setLocalTitle(result.value.board_name);
-      }
-    }
-  }, [board.board_id, board.board_name, isEditing, localTitle, updateBoard, t]);
-
-  const onKeyDown = useCallback(
-    (e: KeyboardEvent<HTMLInputElement>) => {
-      if (e.key === 'Enter') {
-        onBlur();
-      } else if (e.key === 'Escape') {
-        setLocalTitle(board.board_name);
-        isEditing.setFalse();
       }
     },
-    [board.board_name, isEditing, onBlur]
+    [board.board_id, t, updateBoard]
   );
 
-  const handleMouseOver = useCallback(() => {
-    setIsHovering(true);
-  }, []);
+  const editable = useEditable({
+    value: board.board_name,
+    defaultValue: board.board_name,
+    onChange,
+    inputRef,
+    onStartEditing: isHovering.setTrue,
+  });
 
-  const handleMouseOut = useCallback(() => {
-    setIsHovering(false);
-  }, []);
-
-  useEffect(() => {
-    if (isEditing.isTrue) {
-      ref.current?.focus();
-      ref.current?.select();
-    }
-  }, [isEditing.isTrue]);
-
-  if (!isEditing.isTrue) {
+  if (!editable.isEditing) {
     return (
-      <Flex alignItems="center" gap={3} onMouseOver={handleMouseOver} onMouseOut={handleMouseOut}>
+      <Flex alignItems="center" gap={3} onMouseOver={isHovering.setTrue} onMouseOut={isHovering.setFalse}>
         <Text
           size="sm"
           fontWeight="semibold"
           userSelect="none"
           color={isSelected ? 'base.100' : 'base.300'}
-          onDoubleClick={onEdit}
+          onDoubleClick={editable.startEditing}
           cursor="text"
         >
-          {localTitle}
+          {editable.value}
         </Text>
-        {isHovering && (
-          <IconButton aria-label="edit name" icon={<PiPencilBold />} size="sm" variant="ghost" onClick={onEdit} />
+        {isHovering.isTrue && (
+          <IconButton
+            aria-label="edit name"
+            icon={<PiPencilBold />}
+            size="sm"
+            variant="ghost"
+            onClick={editable.startEditing}
+          />
         )}
       </Flex>
     );
@@ -102,11 +71,8 @@ export const BoardEditableTitle = memo(({ board, isSelected }: Props) => {
 
   return (
     <Input
-      ref={ref}
-      value={localTitle}
-      onChange={onChange}
-      onBlur={onBlur}
-      onKeyDown={onKeyDown}
+      ref={inputRef}
+      {...editable.inputProps}
       variant="outline"
       isDisabled={updateBoardResult.isLoading}
       _focusVisible={{ borderWidth: 1, borderColor: 'invokeBlueAlpha.400', borderRadius: 'base' }}

invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx

@@ -36,7 +36,13 @@ const DeleteBoardModal = () => {
   const boardToDelete = useStore($boardToDelete);
   const { t } = useTranslation();
   const { currentData: boardImageNames, isFetching: isFetchingBoardNames } = useListAllImageNamesForBoardQuery(
-    boardToDelete?.board_id ?? skipToken
+    boardToDelete?.board_id
+      ? {
+          board_id: boardToDelete?.board_id,
+          categories: undefined,
+          is_intermediate: undefined,
+        }
+      : skipToken
   );
 
   const selectImageUsageSummary = useMemo(

invokeai/frontend/web/src/features/gallery/components/GalleryPanelContent.tsx

@@ -4,7 +4,7 @@ import { useFocusRegion } from 'common/hooks/focus';
 import { GalleryHeader } from 'features/gallery/components/GalleryHeader';
 import { selectBoardSearchText } from 'features/gallery/store/gallerySelectors';
 import { boardSearchTextChanged } from 'features/gallery/store/gallerySlice';
-import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
+import { HorizontalResizeHandle } from 'features/ui/components/tabs/ResizeHandle';
 import { usePanel, type UsePanelOptions } from 'features/ui/hooks/usePanel';
 import type { CSSProperties } from 'react';
 import { memo, useCallback, useMemo, useRef } from 'react';
@@ -94,7 +94,7 @@ const GalleryPanelContent = () => {
             <BoardsListWrapper />
           </Flex>
         </Panel>
-        <ResizeHandle id="gallery-panel-handle" {...boardsListPanel.resizeHandleProps} />
+        <HorizontalResizeHandle id="gallery-panel-handle" {...boardsListPanel.resizeHandleProps} />
         <Panel id="gallery-wrapper-panel" minSize={20}>
           <Gallery />
         </Panel>

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageMenuItemOpenInNewTab.tsx

@@ -1,5 +1,7 @@
+import { useAppDispatch } from 'app/store/storeHooks';
 import { IconMenuItem } from 'common/components/IconMenuItem';
 import { useImageDTOContext } from 'features/gallery/contexts/ImageDTOContext';
+import { imageOpenedInNewTab } from 'features/gallery/store/actions';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiArrowSquareOutBold } from 'react-icons/pi';
@@ -7,9 +9,11 @@ import { PiArrowSquareOutBold } from 'react-icons/pi';
 export const ImageMenuItemOpenInNewTab = memo(() => {
   const { t } = useTranslation();
   const imageDTO = useImageDTOContext();
+  const dispatch = useAppDispatch();
   const onClick = useCallback(() => {
     window.open(imageDTO.image_url, '_blank');
-  }, [imageDTO.image_url]);
+    dispatch(imageOpenedInNewTab());
+  }, [imageDTO.image_url, dispatch]);
 
   return (
     <IconMenuItem

invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx

@@ -6,7 +6,6 @@ import { createSelector } from '@reduxjs/toolkit';
 import { galleryImageClicked } from 'app/store/middleware/listenerMiddleware/listeners/galleryImageClicked';
 import { useAppStore } from 'app/store/nanostores/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { useBoolean } from 'common/hooks/useBoolean';
 import { multipleImageDndSource, singleImageDndSource } from 'features/dnd/dnd';
 import type { DndDragPreviewMultipleImageState } from 'features/dnd/DndDragPreviewMultipleImage';
 import { createMultipleImageDragPreview, setMultipleImageDragPreview } from 'features/dnd/DndDragPreviewMultipleImage';
@@ -178,7 +177,15 @@ export const GalleryImage = memo(({ imageDTO }: Props) => {
     );
   }, [imageDTO, element, store, dndId]);
 
-  const isHovered = useBoolean(false);
+  const [isHovered, setIsHovered] = useState(false);
+
+  const onMouseOver = useCallback(() => {
+    setIsHovered(true);
+  }, []);
+
+  const onMouseOut = useCallback(() => {
+    setIsHovered(false);
+  }, []);
 
   const onClick = useCallback<MouseEventHandler<HTMLDivElement>>(
     (e) => {
@@ -217,8 +224,8 @@ export const GalleryImage = memo(({ imageDTO }: Props) => {
         <Flex
           role="button"
           className="gallery-image"
-          onMouseOver={isHovered.setTrue}
-          onMouseOut={isHovered.setFalse}
+          onMouseOver={onMouseOver}
+          onMouseOut={onMouseOut}
           onClick={onClick}
           onDoubleClick={onDoubleClick}
           data-selected={isSelected}
@@ -234,7 +241,7 @@ export const GalleryImage = memo(({ imageDTO }: Props) => {
             maxH="full"
             borderRadius="base"
           />
-          <GalleryImageHoverIcons imageDTO={imageDTO} isHovered={isHovered.isTrue} />
+          <GalleryImageHoverIcons imageDTO={imageDTO} isHovered={isHovered} />
         </Flex>
       </Box>
       {dragPreviewState?.type === 'multiple-image' ? createMultipleImageDragPreview(dragPreviewState) : null}

invokeai/frontend/web/src/features/gallery/components/ImageGrid/JumpTo.tsx

@@ -17,79 +17,19 @@ import { useTranslation } from 'react-i18next';
 
 export const JumpTo = memo(() => {
   const { t } = useTranslation();
-  const { goToPage, currentPage, pages } = useGalleryPagination();
-  const [newPage, setNewPage] = useState(currentPage);
-  const { isOpen, onToggle, onClose } = useDisclosure();
-  const ref = useRef<HTMLInputElement>(null);
-
-  const onOpen = useCallback(() => {
-    setNewPage(currentPage);
-    setTimeout(() => {
-      const input = ref.current?.querySelector('input');
-      input?.focus();
-      input?.select();
-    }, 0);
-  }, [currentPage]);
-
-  const onChangeJumpTo = useCallback((v: number) => {
-    setNewPage(v - 1);
-  }, []);
-
-  const onClickGo = useCallback(() => {
-    goToPage(newPage);
-    onClose();
-  }, [newPage, goToPage, onClose]);
-
-  useHotkeys(
-    'enter',
-    () => {
-      onClickGo();
-    },
-    { enabled: isOpen, enableOnFormTags: ['input'] },
-    [isOpen, onClickGo]
-  );
-
-  useHotkeys(
-    'esc',
-    () => {
-      setNewPage(currentPage);
-      onClose();
-    },
-    { enabled: isOpen, enableOnFormTags: ['input'] },
-    [isOpen, onClose]
-  );
-
-  useEffect(() => {
-    setNewPage(currentPage);
-  }, [currentPage]);
+  const disclosure = useDisclosure();
 
   return (
-    <Popover isOpen={isOpen} onClose={onClose} onOpen={onOpen} isLazy lazyBehavior="unmount">
+    <Popover isOpen={disclosure.isOpen} onClose={disclosure.onClose} isLazy lazyBehavior="unmount">
       <PopoverTrigger>
-        <Button aria-label={t('gallery.jump')} size="sm" onClick={onToggle} variant="outline">
+        <Button aria-label={t('gallery.jump')} size="sm" onClick={disclosure.onToggle} variant="outline">
           {t('gallery.jump')}
         </Button>
       </PopoverTrigger>
       <PopoverContent>
         <PopoverArrow />
         <PopoverBody>
-          <Flex gap={2} alignItems="center">
-            <FormControl>
-              <CompositeNumberInput
-                ref={ref}
-                size="sm"
-                maxW="60px"
-                value={newPage + 1}
-                min={1}
-                max={pages}
-                step={1}
-                onChange={onChangeJumpTo}
-              />
-            </FormControl>
-            <Button h="full" size="sm" onClick={onClickGo}>
-              {t('gallery.go')}
-            </Button>
-          </Flex>
+          <JumpToContent disclosure={disclosure} />
         </PopoverBody>
       </PopoverContent>
     </Popover>
@@ -97,3 +37,68 @@ export const JumpTo = memo(() => {
 });
 
 JumpTo.displayName = 'JumpTo';
+
+const JumpToContent = memo(({ disclosure }: { disclosure: ReturnType<typeof useDisclosure> }) => {
+  const { t } = useTranslation();
+  const { goToPage, currentPage, pages } = useGalleryPagination();
+  const [newPage, setNewPage] = useState(currentPage);
+  const ref = useRef<HTMLInputElement>(null);
+
+  const onChangeJumpTo = useCallback((v: number) => {
+    setNewPage(v - 1);
+  }, []);
+
+  const onClickGo = useCallback(() => {
+    goToPage(newPage);
+    disclosure.onClose();
+  }, [goToPage, newPage, disclosure]);
+
+  useHotkeys(
+    'enter',
+    () => {
+      onClickGo();
+    },
+    { enabled: disclosure.isOpen, enableOnFormTags: ['input'] },
+    [disclosure.isOpen, onClickGo]
+  );
+
+  useHotkeys(
+    'esc',
+    () => {
+      setNewPage(currentPage);
+      disclosure.onClose();
+    },
+    { enabled: disclosure.isOpen, enableOnFormTags: ['input'] },
+    [disclosure.isOpen, disclosure.onClose]
+  );
+
+  useEffect(() => {
+    setTimeout(() => {
+      const input = ref.current?.querySelector('input');
+      input?.focus();
+      input?.select();
+    }, 0);
+    setNewPage(currentPage);
+  }, [currentPage]);
+
+  return (
+    <Flex gap={2} alignItems="center">
+      <FormControl>
+        <CompositeNumberInput
+          ref={ref}
+          size="sm"
+          maxW="60px"
+          value={newPage + 1}
+          min={1}
+          max={pages}
+          step={1}
+          onChange={onChangeJumpTo}
+        />
+      </FormControl>
+      <Button h="full" size="sm" onClick={onClickGo}>
+        {t('gallery.go')}
+      </Button>
+    </Flex>
+  );
+});
+JumpToContent.displayName = 'JumpToContent';

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/DataViewer.tsx

@@ -1,3 +1,4 @@
+import type { FlexProps } from '@invoke-ai/ui-library';
 import { Box, Flex, IconButton, Tooltip, useShiftModifier } from '@invoke-ai/ui-library';
 import { getOverlayScrollbarsParams } from 'common/components/OverlayScrollbars/constants';
 import { useClipboard } from 'common/hooks/useClipboard';
@@ -18,12 +19,12 @@ type Props = {
   withDownload?: boolean;
   withCopy?: boolean;
   extraCopyActions?: { label: string; getData: (data: unknown) => unknown }[];
-};
+} & FlexProps;
 
 const overlayscrollbarsOptions = getOverlayScrollbarsParams('scroll', 'scroll').options;
 
 const DataViewer = (props: Props) => {
-  const { label, data, fileName, withDownload = true, withCopy = true, extraCopyActions } = props;
+  const { label, data, fileName, withDownload = true, withCopy = true, extraCopyActions, ...rest } = props;
   const dataString = useMemo(() => (isString(data) ? data : formatter.Serialize(data)) ?? '', [data]);
   const shift = useShiftModifier();
   const clipboard = useClipboard();
@@ -44,8 +45,8 @@ const DataViewer = (props: Props) => {
   const { t } = useTranslation();
 
   return (
-    <Flex layerStyle="second" borderRadius="base" flexGrow={1} w="full" h="full" position="relative">
-      <Box position="absolute" top={0} left={0} right={0} bottom={0} overflow="auto" p={4} fontSize="sm">
+    <Flex bg="base.800" borderRadius="base" flexGrow={1} w="full" h="full" position="relative" {...rest}>
+      <Box position="absolute" top={0} left={0} right={0} bottom={0} overflow="auto" p={2} fontSize="sm">
         <OverlayScrollbarsComponent defer style={overlayScrollbarsStyles} options={overlayscrollbarsOptions}>
           <pre>{dataString}</pre>
         </OverlayScrollbarsComponent>

invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageComparisonSideBySide.tsx

@@ -1,7 +1,7 @@
 import { Flex, Image } from '@invoke-ai/ui-library';
 import type { ComparisonProps } from 'features/gallery/components/ImageViewer/common';
 import { ImageComparisonLabel } from 'features/gallery/components/ImageViewer/ImageComparisonLabel';
-import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
+import { VerticalResizeHandle } from 'features/ui/components/tabs/ResizeHandle';
 import { memo, useCallback, useRef } from 'react';
 import type { ImperativePanelGroupHandle } from 'react-resizable-panels';
 import { Panel, PanelGroup } from 'react-resizable-panels';
@@ -42,7 +42,7 @@ export const ImageComparisonSideBySide = memo(({ firstImage, secondImage }: Comp
               </Flex>
             </Flex>
           </Panel>
-          <ResizeHandle id="image-comparison-side-by-side-handle" onDoubleClick={onDoubleClickHandle} />
+          <VerticalResizeHandle id="image-comparison-side-by-side-handle" onDoubleClick={onDoubleClickHandle} />
 
           <Panel minSize={20}>
             <Flex position="relative" w="full" h="full" alignItems="center" justifyContent="center">

invokeai/frontend/web/src/features/gallery/hooks/useGalleryPagination.ts

@@ -115,19 +115,13 @@ export const useGalleryPagination = () => {
     },
     [throttledOnOffsetChanged, limit]
   );
-  const goToFirst = useCallback(() => {
-    throttledOnOffsetChanged({ offset: 0 });
-  }, [throttledOnOffsetChanged]);
-  const goToLast = useCallback(() => {
-    throttledOnOffsetChanged({ offset: (pages - 1) * (limit || 0) });
-  }, [throttledOnOffsetChanged, pages, limit]);
 
   // handle when total/pages decrease and user is on high page number (ie bulk removing or deleting)
   useEffect(() => {
     if (pages && currentPage + 1 > pages) {
-      goToLast();
+      throttledOnOffsetChanged({ offset: (pages - 1) * (limit || 0) });
     }
-  }, [currentPage, pages, goToLast]);
+  }, [currentPage, pages, throttledOnOffsetChanged, limit]);
 
   const pageButtons = useMemo(() => {
     if (pages > 7) {
@@ -135,35 +129,16 @@ export const useGalleryPagination = () => {
     }
     return range(1, pages);
   }, [currentPage, pages]);
-  const isFirstEnabled = useMemo(() => currentPage > 0, [currentPage]);
-  const isLastEnabled = useMemo(() => currentPage < pages - 1, [currentPage, pages]);
-
-  const rangeDisplay = useMemo(() => {
-    const startItem = currentPage * (limit || 0) + 1;
-    const endItem = Math.min((currentPage + 1) * (limit || 0), total);
-    return `${startItem}-${endItem} of ${total}`;
-  }, [total, currentPage, limit]);
-
-  const numberOnPage = useMemo(() => {
-    return Math.min((currentPage + 1) * (limit || 0), total);
-  }, [currentPage, limit, total]);
 
   return {
-    count,
-    total,
-    currentPage,
-    pages,
-    isNextEnabled,
-    isPrevEnabled,
-    goNext,
     goPrev,
-    goToPage,
-    goToFirst,
-    goToLast,
+    goNext,
+    isPrevEnabled,
+    isNextEnabled,
     pageButtons,
-    isFirstEnabled,
-    isLastEnabled,
-    rangeDisplay,
-    numberOnPage,
+    goToPage,
+    currentPage,
+    total,
+    pages,
   };
 };

invokeai/frontend/web/src/features/gallery/store/actions.ts

@@ -3,3 +3,7 @@ import { createAction } from '@reduxjs/toolkit';
 export const sentImageToCanvas = createAction('gallery/sentImageToCanvas');
 
 export const imageDownloaded = createAction('gallery/imageDownloaded');
+
+export const imageCopiedToClipboard = createAction('gallery/imageCopiedToClipboard');
+
+export const imageOpenedInNewTab = createAction('gallery/imageOpenedInNewTab');

invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx

@@ -1,5 +1,3 @@
-import 'reactflow/dist/style.css';
-
 import { Flex } from '@invoke-ai/ui-library';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { useFocusRegion } from 'common/hooks/focus';

invokeai/frontend/web/src/features/nodes/components/flow/AddNodeCmdk/AddNodeCmdk.tsx

@@ -12,25 +12,27 @@ import {
   Text,
 } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
+import type { EdgeChange, NodeChange } from '@xyflow/react';
 import { useAppSelector, useAppStore } from 'app/store/storeHooks';
 import { CommandEmpty, CommandItem, CommandList, CommandRoot } from 'cmdk';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import ScrollableContent from 'common/components/OverlayScrollbars/ScrollableContent';
 import { useBuildNode } from 'features/nodes/hooks/useBuildNode';
 import {
+  $addNodeCmdk,
   $cursorPos,
   $edgePendingUpdate,
   $pendingConnection,
   $templates,
   edgesChanged,
   nodesChanged,
-  useAddNodeCmdk,
 } from 'features/nodes/store/nodesSlice';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
 import { findUnoccupiedPosition } from 'features/nodes/store/util/findUnoccupiedPosition';
 import { getFirstValidConnection } from 'features/nodes/store/util/getFirstValidConnection';
 import { connectionToEdge } from 'features/nodes/store/util/reactFlowUtil';
 import { validateConnectionTypes } from 'features/nodes/store/util/validateConnectionTypes';
+import type { AnyEdge, AnyNode } from 'features/nodes/types/invocation';
 import { isInvocationNode } from 'features/nodes/types/invocation';
 import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
 import { toast } from 'features/toast/toast';
@@ -38,34 +40,12 @@ import { selectActiveTab } from 'features/ui/store/uiSelectors';
 import { memoize } from 'lodash-es';
 import { computed } from 'nanostores';
 import type { ChangeEvent } from 'react';
-import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { memo, useCallback, useMemo, useRef, useState } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiCircuitryBold, PiFlaskBold, PiHammerBold, PiLightningFill } from 'react-icons/pi';
-import type { EdgeChange, NodeChange } from 'reactflow';
 import type { S } from 'services/api/types';
-
-const useThrottle = <T,>(value: T, limit: number) => {
-  const [throttledValue, setThrottledValue] = useState(value);
-  const lastRan = useRef(Date.now());
-
-  useEffect(() => {
-    const handler = setTimeout(
-      function () {
-        if (Date.now() - lastRan.current >= limit) {
-          setThrottledValue(value);
-          lastRan.current = Date.now();
-        }
-      },
-      limit - (Date.now() - lastRan.current)
-    );
-
-    return () => {
-      clearTimeout(handler);
-    };
-  }, [value, limit]);
-
-  return throttledValue;
-};
+import { objectEntries } from 'tsafe';
+import { useDebounce } from 'use-debounce';
 
 const useAddNode = () => {
   const { t } = useTranslation();
@@ -95,8 +75,8 @@ const useAddNode = () => {
       node.selected = true;
 
       // Deselect all other nodes and edges
-      const nodeChanges: NodeChange[] = [{ type: 'add', item: node }];
-      const edgeChanges: EdgeChange[] = [];
+      const nodeChanges: NodeChange<AnyNode>[] = [{ type: 'add', item: node }];
+      const edgeChanges: EdgeChange<AnyEdge>[] = [];
       nodes.forEach(({ id, selected }) => {
         if (selected) {
           nodeChanges.push({ type: 'select', id, selected: false });
@@ -162,19 +142,26 @@ const cmdkRootSx: SystemStyleObject = {
 
 export const AddNodeCmdk = memo(() => {
   const { t } = useTranslation();
-  const addNodeCmdk = useAddNodeCmdk();
   const inputRef = useRef<HTMLInputElement>(null);
   const [searchTerm, setSearchTerm] = useState('');
   const addNode = useAddNode();
   const tab = useAppSelector(selectActiveTab);
-  const throttledSearchTerm = useThrottle(searchTerm, 100);
+  // Filtering the list is expensive - debounce the search term to avoid stutters
+  const [debouncedSearchTerm] = useDebounce(searchTerm, 300);
+  const isOpen = useStore($addNodeCmdk);
+  const open = useCallback(() => {
+    $addNodeCmdk.set(true);
+  }, []);
+  const close = useCallback(() => {
+    $addNodeCmdk.set(false);
+  }, []);
 
   useRegisteredHotkeys({
     id: 'addNode',
     category: 'workflows',
-    callback: addNodeCmdk.setTrue,
+    callback: open,
     options: { enabled: tab === 'workflows', preventDefault: true },
-    dependencies: [addNodeCmdk.setTrue, tab],
+    dependencies: [open, tab],
   });
 
   const onChange = useCallback((e: ChangeEvent<HTMLInputElement>) => {
@@ -182,10 +169,10 @@ export const AddNodeCmdk = memo(() => {
   }, []);
 
   const onClose = useCallback(() => {
-    addNodeCmdk.setFalse();
+    close();
     setSearchTerm('');
     $pendingConnection.set(null);
-  }, [addNodeCmdk]);
+  }, [close]);
 
   const onSelect = useCallback(
     (value: string) => {
@@ -196,14 +183,7 @@ export const AddNodeCmdk = memo(() => {
   );
 
   return (
-    <Modal
-      isOpen={addNodeCmdk.isTrue}
-      onClose={onClose}
-      useInert={false}
-      initialFocusRef={inputRef}
-      size="xl"
-      isCentered
-    >
+    <Modal isOpen={isOpen} onClose={onClose} useInert={false} initialFocusRef={inputRef} size="xl" isCentered>
       <ModalOverlay />
       <ModalContent h="512" maxH="70%">
         <ModalBody p={2} h="full" sx={cmdkRootSx}>
@@ -224,7 +204,7 @@ export const AddNodeCmdk = memo(() => {
                     />
                   </CommandEmpty>
                   <CommandList>
-                    <NodeCommandList searchTerm={throttledSearchTerm} onSelect={onSelect} />
+                    <NodeCommandList searchTerm={debouncedSearchTerm} onSelect={onSelect} />
                   </CommandList>
                 </ScrollableContent>
               </Box>
@@ -381,11 +361,11 @@ const NodeCommandList = memo(({ searchTerm, onSelect }: { searchTerm: string; on
         if (filter(template, searchTerm)) {
           const candidateFields = pendingConnection.handleType === 'source' ? template.inputs : template.outputs;
 
-          for (const field of Object.values(candidateFields)) {
+          for (const [_fieldName, fieldTemplate] of objectEntries(candidateFields)) {
             const sourceType =
-              pendingConnection.handleType === 'source' ? field.type : pendingConnection.fieldTemplate.type;
+              pendingConnection.handleType === 'source' ? pendingConnection.fieldTemplate.type : fieldTemplate.type;
             const targetType =
-              pendingConnection.handleType === 'target' ? field.type : pendingConnection.fieldTemplate.type;
+              pendingConnection.handleType === 'target' ? pendingConnection.fieldTemplate.type : fieldTemplate.type;
 
             if (validateConnectionTypes(sourceType, targetType)) {
               _items.push({

invokeai/frontend/web/src/features/nodes/components/flow/Flow.tsx

@@ -1,11 +1,25 @@
 import { useGlobalMenuClose, useToken } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
+import type {
+  EdgeChange,
+  HandleType,
+  NodeChange,
+  OnEdgesChange,
+  OnInit,
+  OnMoveEnd,
+  OnNodesChange,
+  OnReconnect,
+  ProOptions,
+  ReactFlowProps,
+  ReactFlowState,
+} from '@xyflow/react';
+import { Background, ReactFlow, useStore as useReactFlowStore, useUpdateNodeInternals } from '@xyflow/react';
 import { useAppDispatch, useAppSelector, useAppStore } from 'app/store/storeHooks';
 import { useFocusRegion, useIsRegionFocused } from 'common/hooks/focus';
 import { useConnection } from 'features/nodes/hooks/useConnection';
-import { useCopyPaste } from 'features/nodes/hooks/useCopyPaste';
-import { useSyncExecutionState } from 'features/nodes/hooks/useExecutionState';
 import { useIsValidConnection } from 'features/nodes/hooks/useIsValidConnection';
+import { useNodeCopyPaste } from 'features/nodes/hooks/useNodeCopyPaste';
+import { useSyncExecutionState } from 'features/nodes/hooks/useNodeExecutionState';
 import { useWorkflowWatcher } from 'features/nodes/hooks/useWorkflowWatcher';
 import {
   $addNodeCmdk,
@@ -30,23 +44,12 @@ import {
 } from 'features/nodes/store/selectors';
 import { connectionToEdge } from 'features/nodes/store/util/reactFlowUtil';
 import { selectSelectionMode, selectShouldSnapToGrid } from 'features/nodes/store/workflowSettingsSlice';
+import { NO_DRAG_CLASS, NO_PAN_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
+import type { AnyEdge, AnyNode } from 'features/nodes/types/invocation';
 import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
 import type { CSSProperties, MouseEvent } from 'react';
 import { memo, useCallback, useMemo, useRef } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
-import type {
-  EdgeChange,
-  NodeChange,
-  OnEdgesChange,
-  OnEdgeUpdateFunc,
-  OnInit,
-  OnMoveEnd,
-  OnNodesChange,
-  ProOptions,
-  ReactFlowProps,
-  ReactFlowState,
-} from 'reactflow';
-import { Background, ReactFlow, useStore as useReactFlowStore, useUpdateNodeInternals } from 'reactflow';
 
 import CustomConnectionLine from './connectionLines/CustomConnectionLine';
 import InvocationCollapsedEdge from './edges/InvocationCollapsedEdge';
@@ -58,13 +61,13 @@ import NotesNode from './nodes/Notes/NotesNode';
 const edgeTypes = {
   collapsed: InvocationCollapsedEdge,
   default: InvocationDefaultEdge,
-};
+} as const;
 
 const nodeTypes = {
   invocation: InvocationNodeWrapper,
   current_image: CurrentImageNode,
   notes: NotesNode,
-};
+} as const;
 
 // TODO: can we support reactflow? if not, we could style the attribution so it matches the app
 const proOptions: ProOptions = { hideAttribution: true };
@@ -97,7 +100,7 @@ export const Flow = memo(() => {
   const [borderRadius] = useToken('radii', ['base']);
   const flowStyles = useMemo<CSSProperties>(() => ({ borderRadius }), [borderRadius]);
 
-  const onNodesChange: OnNodesChange = useCallback(
+  const onNodesChange: OnNodesChange<AnyNode> = useCallback(
     (nodeChanges) => {
       dispatch(nodesChanged(nodeChanges));
       const flow = $flow.get();
@@ -112,7 +115,7 @@ export const Flow = memo(() => {
     [dispatch, needsFit]
   );
 
-  const onEdgesChange: OnEdgesChange = useCallback(
+  const onEdgesChange: OnEdgesChange<AnyEdge> = useCallback(
     (changes) => {
       if (changes.length > 0) {
         dispatch(edgesChanged(changes));
@@ -130,7 +133,7 @@ export const Flow = memo(() => {
     onCloseGlobal();
   }, [onCloseGlobal]);
 
-  const onInit: OnInit = useCallback((flow) => {
+  const onInit: OnInit<AnyNode, AnyEdge> = useCallback((flow) => {
     $flow.set(flow);
     flow.fitView();
   }, []);
@@ -158,13 +161,13 @@ export const Flow = memo(() => {
    *   where the edge is deleted if you click it accidentally).
    */
 
-  const onEdgeUpdateStart: NonNullable<ReactFlowProps['onEdgeUpdateStart']> = useCallback((e, edge, _handleType) => {
+  const onReconnectStart = useCallback((event: MouseEvent, edge: AnyEdge, _handleType: HandleType) => {
     $edgePendingUpdate.set(edge);
     $didUpdateEdge.set(false);
-    $lastEdgeUpdateMouseEvent.set(e);
+    $lastEdgeUpdateMouseEvent.set(event);
   }, []);
 
-  const onEdgeUpdate: OnEdgeUpdateFunc = useCallback(
+  const onReconnect: OnReconnect = useCallback(
     (oldEdge, newConnection) => {
       // This event is fired when an edge update is successful
       $didUpdateEdge.set(true);
@@ -183,7 +186,7 @@ export const Flow = memo(() => {
     [dispatch, updateNodeInternals]
   );
 
-  const onEdgeUpdateEnd: NonNullable<ReactFlowProps['onEdgeUpdateEnd']> = useCallback(
+  const onReconnectEnd: NonNullable<ReactFlowProps['onReconnectEnd']> = useCallback(
     (e, edge, _handleType) => {
       const didUpdateEdge = $didUpdateEdge.get();
       // Fall back to a reasonable default event
@@ -208,7 +211,7 @@ export const Flow = memo(() => {
 
   // #endregion
 
-  const { copySelection, pasteSelection, pasteSelectionWithEdges } = useCopyPaste();
+  const { copySelection, pasteSelection, pasteSelectionWithEdges } = useNodeCopyPaste();
 
   useRegisteredHotkeys({
     id: 'copySelection',
@@ -220,8 +223,8 @@ export const Flow = memo(() => {
 
   const selectAll = useCallback(() => {
     const { nodes, edges } = selectNodesSlice(store.getState());
-    const nodeChanges: NodeChange[] = [];
-    const edgeChanges: EdgeChange[] = [];
+    const nodeChanges: NodeChange<AnyNode>[] = [];
+    const edgeChanges: EdgeChange<AnyEdge>[] = [];
     nodes.forEach(({ id, selected }) => {
       if (!selected) {
         nodeChanges.push({ type: 'select', id, selected: true });
@@ -294,8 +297,8 @@ export const Flow = memo(() => {
 
   const deleteSelection = useCallback(() => {
     const { nodes, edges } = selectNodesSlice(store.getState());
-    const nodeChanges: NodeChange[] = [];
-    const edgeChanges: EdgeChange[] = [];
+    const nodeChanges: NodeChange<AnyNode>[] = [];
+    const edgeChanges: EdgeChange<AnyEdge>[] = [];
     nodes
       .filter((n) => n.selected)
       .forEach(({ id }) => {
@@ -322,7 +325,7 @@ export const Flow = memo(() => {
   });
 
   return (
-    <ReactFlow
+    <ReactFlow<AnyNode, AnyEdge>
       id="workflow-editor"
       ref={flowWrapper}
       defaultViewport={viewport}
@@ -334,9 +337,9 @@ export const Flow = memo(() => {
       onMouseMove={onMouseMove}
       onNodesChange={onNodesChange}
       onEdgesChange={onEdgesChange}
-      onEdgeUpdate={onEdgeUpdate}
-      onEdgeUpdateStart={onEdgeUpdateStart}
-      onEdgeUpdateEnd={onEdgeUpdateEnd}
+      onReconnect={onReconnect}
+      onReconnectStart={onReconnectStart}
+      onReconnectEnd={onReconnectEnd}
       onConnectStart={onConnectStart}
       onConnect={onConnect}
       onConnectEnd={onConnectEnd}
@@ -354,6 +357,9 @@ export const Flow = memo(() => {
       selectionMode={selectionMode}
       elevateEdgesOnSelect
       nodeDragThreshold={1}
+      noDragClassName={NO_DRAG_CLASS}
+      noWheelClassName={NO_WHEEL_CLASS}
+      noPanClassName={NO_PAN_CLASS}
     >
       <Background />
     </ReactFlow>

invokeai/frontend/web/src/features/nodes/components/flow/connectionLines/CustomConnectionLine.tsx

@@ -1,4 +1,6 @@
 import { useStore } from '@nanostores/react';
+import type { ConnectionLineComponentProps } from '@xyflow/react';
+import { getBezierPath } from '@xyflow/react';
 import { useAppSelector } from 'app/store/storeHooks';
 import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
 import { getFieldColor } from 'features/nodes/components/flow/edges/util/getEdgeColor';
@@ -6,8 +8,6 @@ import { $pendingConnection } from 'features/nodes/store/nodesSlice';
 import { selectShouldAnimateEdges, selectShouldColorEdges } from 'features/nodes/store/workflowSettingsSlice';
 import type { CSSProperties } from 'react';
 import { memo, useMemo } from 'react';
-import type { ConnectionLineComponentProps } from 'reactflow';
-import { getBezierPath } from 'reactflow';
 
 const pathStyles: CSSProperties = { opacity: 0.8 };
 

invokeai/frontend/web/src/features/nodes/components/flow/edges/InvocationCollapsedEdge.tsx

@@ -1,13 +1,40 @@
-import { Badge, Flex } from '@invoke-ai/ui-library';
-import { useStore } from '@nanostores/react';
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
+import { Badge, Box, chakra } from '@invoke-ai/ui-library';
+import type { EdgeProps } from '@xyflow/react';
+import { BaseEdge, EdgeLabelRenderer, getBezierPath } from '@xyflow/react';
 import { useAppSelector } from 'app/store/storeHooks';
-import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
-import { getEdgeStyles } from 'features/nodes/components/flow/edges/util/getEdgeColor';
-import { makeEdgeSelector } from 'features/nodes/components/flow/edges/util/makeEdgeSelector';
-import { $templates } from 'features/nodes/store/nodesSlice';
+import { buildSelectAreConnectedNodesSelected } from 'features/nodes/components/flow/edges/util/buildEdgeSelectors';
+import { selectShouldAnimateEdges } from 'features/nodes/store/workflowSettingsSlice';
+import { NO_DRAG_CLASS, NO_PAN_CLASS } from 'features/nodes/types/constants';
+import type { CollapsedInvocationNodeEdge } from 'features/nodes/types/invocation';
 import { memo, useMemo } from 'react';
-import type { EdgeProps } from 'reactflow';
-import { BaseEdge, EdgeLabelRenderer, getBezierPath } from 'reactflow';
+
+const ChakraBaseEdge = chakra(BaseEdge);
+
+const baseEdgeSx: SystemStyleObject = {
+  strokeWidth: '3px !important',
+  stroke: 'base.500 !important',
+  opacity: '0.5 !important',
+  strokeDasharray: 'none',
+  '&[data-selected="true"]': {
+    opacity: '1 !important',
+  },
+  '&[data-selected="true"], &[data-are-connected-nodes-selected="true"]': {
+    strokeDasharray: '5 !important',
+  },
+  '&[data-should-animate-edges="true"]': {
+    animation: 'dashdraw 0.5s linear infinite !important',
+  },
+};
+
+const badgeSx: SystemStyleObject = {
+  bg: 'base.500',
+  opacity: 0.5,
+  shadow: 'base',
+  '&[data-selected="true"]': {
+    opacity: 1,
+  },
+};
 
 const InvocationCollapsedEdge = ({
   sourceX,
@@ -20,17 +47,15 @@ const InvocationCollapsedEdge = ({
   data,
   selected = false,
   source,
-  sourceHandleId,
   target,
-  targetHandleId,
-}: EdgeProps<{ count: number }>) => {
-  const templates = useStore($templates);
-  const selector = useMemo(
-    () => makeEdgeSelector(templates, source, sourceHandleId, target, targetHandleId),
-    [templates, source, sourceHandleId, target, targetHandleId]
+}: EdgeProps<CollapsedInvocationNodeEdge>) => {
+  const shouldAnimateEdges = useAppSelector(selectShouldAnimateEdges);
+  const selectAreConnectedNodesSelected = useMemo(
+    () => buildSelectAreConnectedNodesSelected(source, target),
+    [source, target]
   );
 
-  const { shouldAnimateEdges, areConnectedNodesSelected } = useAppSelector(selector);
+  const areConnectedNodesSelected = useAppSelector(selectAreConnectedNodesSelected);
 
   const [edgePath, labelX, labelY] = getBezierPath({
     sourceX,
@@ -41,31 +66,29 @@ const InvocationCollapsedEdge = ({
     targetPosition,
   });
 
-  const { base500 } = useChakraThemeTokens();
-
-  const edgeStyles = useMemo(
-    () => getEdgeStyles(base500, selected, shouldAnimateEdges, areConnectedNodesSelected),
-    [areConnectedNodesSelected, base500, selected, shouldAnimateEdges]
-  );
-
   return (
     <>
-      <BaseEdge path={edgePath} markerEnd={markerEnd} style={edgeStyles} />
-      {data?.count && data.count > 1 && (
+      <ChakraBaseEdge
+        path={edgePath}
+        markerEnd={markerEnd}
+        sx={baseEdgeSx}
+        data-selected={selected}
+        data-are-connected-nodes-selected={areConnectedNodesSelected}
+        data-should-animate-edges={shouldAnimateEdges}
+      />
+      {data?.count !== undefined && (
         <EdgeLabelRenderer>
-          <Flex
-            data-testid="asdfasdfasdf"
+          <Box
             position="absolute"
             transform={`translate(-50%, -50%) translate(${labelX}px,${labelY}px)`}
-            className="nodrag nopan"
-            // Unfortunately edge labels do not get the same zIndex treatment as edges do, so we need to manage this ourselves
+            className={`edge-label-renderer__custom-edge ${NO_DRAG_CLASS} ${NO_PAN_CLASS}`} // Unfortunately edge labels do not get the same zIndex treatment as edges do, so we need to manage this ourselves
             // See: https://github.com/xyflow/xyflow/issues/3658
             zIndex={1001}
           >
-            <Badge variant="solid" bg="base.500" opacity={selected ? 0.8 : 0.5} boxShadow="base">
+            <Badge variant="solid" sx={badgeSx} data-selected={selected}>
               {data.count}
             </Badge>
-          </Flex>
+          </Box>
         </EdgeLabelRenderer>
       )}
     </>

invokeai/frontend/web/src/features/nodes/components/flow/edges/InvocationDefaultEdge.tsx

@@ -1,14 +1,62 @@
-import { Flex, Text } from '@invoke-ai/ui-library';
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
+import { chakra, Flex, Text } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
+import type { EdgeProps } from '@xyflow/react';
+import { BaseEdge, EdgeLabelRenderer, getBezierPath } from '@xyflow/react';
 import { useAppSelector } from 'app/store/storeHooks';
-import { getEdgeStyles } from 'features/nodes/components/flow/edges/util/getEdgeColor';
 import { $templates } from 'features/nodes/store/nodesSlice';
-import { selectShouldShowEdgeLabels } from 'features/nodes/store/workflowSettingsSlice';
+import { selectShouldAnimateEdges, selectShouldShowEdgeLabels } from 'features/nodes/store/workflowSettingsSlice';
+import { NO_DRAG_CLASS, NO_PAN_CLASS } from 'features/nodes/types/constants';
+import type { DefaultInvocationNodeEdge } from 'features/nodes/types/invocation';
 import { memo, useMemo } from 'react';
-import type { EdgeProps } from 'reactflow';
-import { BaseEdge, EdgeLabelRenderer, getBezierPath } from 'reactflow';
 
-import { makeEdgeSelector } from './util/makeEdgeSelector';
+import {
+  buildSelectAreConnectedNodesSelected,
+  buildSelectEdgeColor,
+  buildSelectEdgeLabel,
+} from './util/buildEdgeSelectors';
+
+const ChakraBaseEdge = chakra(BaseEdge);
+
+const baseEdgeSx: SystemStyleObject = {
+  strokeWidth: '3px !important',
+  opacity: '0.5 !important',
+  strokeDasharray: 'none',
+  '&[data-selected="true"]': {
+    opacity: '1 !important',
+  },
+  '&[data-should-animate-edges="true"]': {
+    animation: 'dashdraw 0.5s linear infinite !important',
+    '&[data-selected="true"], &[data-are-connected-nodes-selected="true"]': {
+      strokeDasharray: '5 !important',
+    },
+  },
+};
+
+const edgeLabelWrapperSx: SystemStyleObject = {
+  pointerEvents: 'all',
+  position: 'absolute',
+  bg: 'base.800',
+  borderRadius: 'base',
+  borderWidth: 1,
+  opacity: 0.5,
+  borderColor: 'transparent',
+  py: 1,
+  px: 3,
+  shadow: 'md',
+  '&[data-selected="true"]': {
+    opacity: 1,
+    borderColor: undefined,
+  },
+};
+
+const edgeLabelTextSx: SystemStyleObject = {
+  fontWeight: 'semibold',
+  color: 'base.300',
+  '&[data-selected="true"]': {
+    color: 'base.100',
+  },
+};
 
 const InvocationDefaultEdge = ({
   sourceX,
@@ -23,15 +71,26 @@ const InvocationDefaultEdge = ({
   target,
   sourceHandleId,
   targetHandleId,
-}: EdgeProps) => {
+}: EdgeProps<DefaultInvocationNodeEdge>) => {
   const templates = useStore($templates);
-  const selector = useMemo(
-    () => makeEdgeSelector(templates, source, sourceHandleId, target, targetHandleId),
+  const shouldAnimateEdges = useAppSelector(selectShouldAnimateEdges);
+  const shouldShowEdgeLabels = useAppSelector(selectShouldShowEdgeLabels);
+
+  const selectAreConnectedNodesSelected = useMemo(
+    () => buildSelectAreConnectedNodesSelected(source, target),
+    [source, target]
+  );
+  const selectStrokeColor = useMemo(
+    () => buildSelectEdgeColor(templates, source, sourceHandleId, target, targetHandleId),
     [templates, source, sourceHandleId, target, targetHandleId]
   );
-
-  const { shouldAnimateEdges, areConnectedNodesSelected, stroke, label } = useAppSelector(selector);
-  const shouldShowEdgeLabels = useAppSelector(selectShouldShowEdgeLabels);
+  const selectEdgeLabel = useMemo(
+    () => buildSelectEdgeLabel(templates, source, sourceHandleId, target, targetHandleId),
+    [templates, source, sourceHandleId, target, targetHandleId]
+  );
+  const areConnectedNodesSelected = useAppSelector(selectAreConnectedNodesSelected);
+  const stroke = useAppSelector(selectStrokeColor);
+  const label = useAppSelector(selectEdgeLabel);
 
   const [edgePath, labelX, labelY] = getBezierPath({
     sourceX,
@@ -42,31 +101,26 @@ const InvocationDefaultEdge = ({
     targetPosition,
   });
 
-  const edgeStyles = useMemo(
-    () => getEdgeStyles(stroke, selected, shouldAnimateEdges, areConnectedNodesSelected),
-    [areConnectedNodesSelected, stroke, selected, shouldAnimateEdges]
-  );
-
   return (
     <>
-      <BaseEdge path={edgePath} markerEnd={markerEnd} style={edgeStyles} />
+      <ChakraBaseEdge
+        path={edgePath}
+        markerEnd={markerEnd}
+        sx={baseEdgeSx}
+        stroke={`${stroke} !important`}
+        data-selected={selected}
+        data-are-connected-nodes-selected={areConnectedNodesSelected}
+        data-should-animate-edges={shouldAnimateEdges}
+      />
       {label && shouldShowEdgeLabels && (
         <EdgeLabelRenderer>
           <Flex
-            className="nodrag nopan"
-            pointerEvents="all"
-            position="absolute"
+            className={`${NO_DRAG_CLASS} ${NO_PAN_CLASS}`}
             transform={`translate(-50%, -50%) translate(${labelX}px,${labelY}px)`}
-            bg="base.800"
-            borderRadius="base"
-            borderWidth={1}
-            borderColor={selected ? 'undefined' : 'transparent'}
-            opacity={selected ? 1 : 0.5}
-            py={1}
-            px={3}
-            shadow="md"
+            data-selected={selected}
+            sx={edgeLabelWrapperSx}
           >
-            <Text size="sm" fontWeight="semibold" color={selected ? 'base.100' : 'base.300'}>
+            <Text size="sm" sx={edgeLabelTextSx} data-selected={selected}>
               {label}
             </Text>
           </Flex>

invokeai/frontend/web/src/features/nodes/components/flow/edges/util/buildEdgeSelectors.ts

@@ -0,0 +1,62 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
+import { selectNodesSlice } from 'features/nodes/store/selectors';
+import type { Templates } from 'features/nodes/store/types';
+import { selectWorkflowSettingsSlice } from 'features/nodes/store/workflowSettingsSlice';
+import { isInvocationNode } from 'features/nodes/types/invocation';
+
+import { getFieldColor } from './getEdgeColor';
+
+export const buildSelectAreConnectedNodesSelected = (source: string, target: string) =>
+  createSelector(selectNodesSlice, (nodes): boolean => {
+    const sourceNode = nodes.nodes.find((node) => node.id === source);
+    const targetNode = nodes.nodes.find((node) => node.id === target);
+
+    return Boolean(sourceNode?.selected || targetNode?.selected);
+  });
+
+export const buildSelectEdgeColor = (
+  templates: Templates,
+  source: string,
+  sourceHandleId: string | null | undefined,
+  target: string,
+  targetHandleId: string | null | undefined
+) =>
+  createSelector(selectNodesSlice, selectWorkflowSettingsSlice, (nodes, workflowSettings): string => {
+    const { shouldColorEdges } = workflowSettings;
+    const sourceNode = nodes.nodes.find((node) => node.id === source);
+    const targetNode = nodes.nodes.find((node) => node.id === target);
+
+    if (!sourceNode || !sourceHandleId || !targetNode || !targetHandleId) {
+      return colorTokenToCssVar('base.500');
+    }
+
+    const sourceNodeTemplate = templates[sourceNode.data.type];
+
+    const isInvocationToInvocationEdge = isInvocationNode(sourceNode) && isInvocationNode(targetNode);
+    const outputFieldTemplate = sourceNodeTemplate?.outputs[sourceHandleId];
+    const sourceType = isInvocationToInvocationEdge ? outputFieldTemplate?.type : undefined;
+
+    return sourceType && shouldColorEdges ? getFieldColor(sourceType) : colorTokenToCssVar('base.500');
+  });
+
+export const buildSelectEdgeLabel = (
+  templates: Templates,
+  source: string,
+  sourceHandleId: string | null | undefined,
+  target: string,
+  targetHandleId: string | null | undefined
+) =>
+  createSelector(selectNodesSlice, (nodes): string | null => {
+    const sourceNode = nodes.nodes.find((node) => node.id === source);
+    const targetNode = nodes.nodes.find((node) => node.id === target);
+
+    if (!sourceNode || !sourceHandleId || !targetNode || !targetHandleId) {
+      return null;
+    }
+
+    const sourceNodeTemplate = templates[sourceNode.data.type];
+    const targetNodeTemplate = templates[targetNode.data.type];
+
+    return `${sourceNodeTemplate?.title || sourceNode.data?.label} -> ${targetNodeTemplate?.title || targetNode.data?.label}`;
+  });

invokeai/frontend/web/src/features/nodes/components/flow/edges/util/getEdgeColor.ts

@@ -1,7 +1,6 @@
 import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
 import { FIELD_COLORS } from 'features/nodes/types/constants';
 import type { FieldType } from 'features/nodes/types/field';
-import type { CSSProperties } from 'react';
 
 export const getFieldColor = (fieldType: FieldType | null): string => {
   if (!fieldType) {
@@ -11,16 +10,3 @@ export const getFieldColor = (fieldType: FieldType | null): string => {
 
   return color ? colorTokenToCssVar(color) : colorTokenToCssVar('base.500');
 };
-
-export const getEdgeStyles = (
-  stroke: string,
-  selected: boolean,
-  shouldAnimateEdges: boolean,
-  areConnectedNodesSelected: boolean
-): CSSProperties => ({
-  strokeWidth: 3,
-  stroke,
-  opacity: selected ? 1 : 0.5,
-  animation: shouldAnimateEdges ? 'dashdraw 0.5s linear infinite' : undefined,
-  strokeDasharray: selected || areConnectedNodesSelected ? 5 : 'none',
-});

invokeai/frontend/web/src/features/nodes/components/flow/edges/util/makeEdgeSelector.ts

@@ -1,58 +0,0 @@
-import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
-import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
-import { deepClone } from 'common/util/deepClone';
-import { selectNodesSlice } from 'features/nodes/store/selectors';
-import type { Templates } from 'features/nodes/store/types';
-import { selectWorkflowSettingsSlice } from 'features/nodes/store/workflowSettingsSlice';
-import { isInvocationNode } from 'features/nodes/types/invocation';
-
-import { getFieldColor } from './getEdgeColor';
-
-const defaultReturnValue = {
-  areConnectedNodesSelected: false,
-  shouldAnimateEdges: false,
-  stroke: colorTokenToCssVar('base.500'),
-  label: '',
-};
-
-export const makeEdgeSelector = (
-  templates: Templates,
-  source: string,
-  sourceHandleId: string | null | undefined,
-  target: string,
-  targetHandleId: string | null | undefined
-) =>
-  createMemoizedSelector(
-    selectNodesSlice,
-    selectWorkflowSettingsSlice,
-    (
-      nodes,
-      workflowSettings
-    ): { areConnectedNodesSelected: boolean; shouldAnimateEdges: boolean; stroke: string; label: string } => {
-      const { shouldAnimateEdges, shouldColorEdges } = workflowSettings;
-      const sourceNode = nodes.nodes.find((node) => node.id === source);
-      const targetNode = nodes.nodes.find((node) => node.id === target);
-
-      const returnValue = deepClone(defaultReturnValue);
-      returnValue.shouldAnimateEdges = shouldAnimateEdges;
-
-      const isInvocationToInvocationEdge = isInvocationNode(sourceNode) && isInvocationNode(targetNode);
-
-      returnValue.areConnectedNodesSelected = Boolean(sourceNode?.selected || targetNode?.selected);
-      if (!sourceNode || !sourceHandleId || !targetNode || !targetHandleId) {
-        return returnValue;
-      }
-
-      const sourceNodeTemplate = templates[sourceNode.data.type];
-      const targetNodeTemplate = templates[targetNode.data.type];
-
-      const outputFieldTemplate = sourceNodeTemplate?.outputs[sourceHandleId];
-      const sourceType = isInvocationToInvocationEdge ? outputFieldTemplate?.type : undefined;
-
-      returnValue.stroke = sourceType && shouldColorEdges ? getFieldColor(sourceType) : colorTokenToCssVar('base.500');
-
-      returnValue.label = `${sourceNodeTemplate?.title || sourceNode.data?.label} -> ${targetNodeTemplate?.title || targetNode.data?.label}`;
-
-      return returnValue;
-    }
-  );

invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx

@@ -1,5 +1,6 @@
 import { Flex, Image, Text } from '@invoke-ai/ui-library';
 import { useStore } from '@nanostores/react';
+import type { NodeProps } from '@xyflow/react';
 import { useAppSelector } from 'app/store/storeHooks';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { DndImage } from 'features/dnd/DndImage';
@@ -12,7 +13,6 @@ import { motion } from 'framer-motion';
 import type { CSSProperties, PropsWithChildren } from 'react';
 import { memo, useCallback, useState } from 'react';
 import { useTranslation } from 'react-i18next';
-import type { NodeProps } from 'reactflow';
 import { $lastProgressEvent } from 'services/events/stores';
 
 const CurrentImageNode = (props: NodeProps) => {

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNode.tsx

@@ -1,83 +1,124 @@
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
 import { Flex, Grid, GridItem } from '@invoke-ai/ui-library';
-import NodeWrapper from 'features/nodes/components/flow/nodes/common/NodeWrapper';
-import { InvocationInputFieldCheck } from 'features/nodes/components/flow/nodes/Invocation/fields/InvocationFieldCheck';
-import { useFieldNames } from 'features/nodes/hooks/useFieldNames';
+import { InputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate';
+import { OutputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/OutputFieldGate';
+import { OutputFieldNodesEditorView } from 'features/nodes/components/flow/nodes/Invocation/fields/OutputFieldNodesEditorView';
+import {
+  useInputFieldNamesAnyOrDirect,
+  useInputFieldNamesConnection,
+  useInputFieldNamesMissing,
+} from 'features/nodes/hooks/useInputFieldNamesByStatus';
 import { useOutputFieldNames } from 'features/nodes/hooks/useOutputFieldNames';
 import { useWithFooter } from 'features/nodes/hooks/useWithFooter';
 import { memo } from 'react';
 
-import InputField from './fields/InputField';
-import OutputField from './fields/OutputField';
+import { InputFieldEditModeNodes } from './fields/InputFieldEditModeNodes';
 import InvocationNodeFooter from './InvocationNodeFooter';
 import InvocationNodeHeader from './InvocationNodeHeader';
 
 type Props = {
   nodeId: string;
   isOpen: boolean;
-  label: string;
-  type: string;
-  selected: boolean;
 };
 
-const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => {
-  const fieldNames = useFieldNames(nodeId);
+const sx: SystemStyleObject = {
+  flexDirection: 'column',
+  w: 'full',
+  h: 'full',
+  py: 2,
+  gap: 1,
+  borderBottomRadius: 'base',
+  '&[data-with-footer="true"]': {
+    borderBottomRadius: 0,
+  },
+  '&[data-with-footer="false"]': {
+    pb: 4,
+  },
+};
+
+const InvocationNode = ({ nodeId, isOpen }: Props) => {
   const withFooter = useWithFooter(nodeId);
-  const outputFieldNames = useOutputFieldNames(nodeId);
 
   return (
-    <NodeWrapper nodeId={nodeId} selected={selected}>
-      <InvocationNodeHeader nodeId={nodeId} isOpen={isOpen} label={label} selected={selected} type={type} />
+    <>
+      <InvocationNodeHeader nodeId={nodeId} isOpen={isOpen} />
       {isOpen && (
         <>
-          <Flex
-            layerStyle="nodeBody"
-            flexDirection="column"
-            w="full"
-            h="full"
-            py={2}
-            gap={1}
-            borderBottomRadius={withFooter ? 0 : 'base'}
-          >
+          <Flex layerStyle="nodeBody" sx={sx} data-with-footer={withFooter}>
             <Flex flexDir="column" px={2} w="full" h="full">
               <Grid gridTemplateColumns="1fr auto" gridAutoRows="1fr">
-                {fieldNames.connectionFields.map((fieldName, i) => (
-                  <GridItem gridColumnStart={1} gridRowStart={i + 1} key={`${nodeId}.${fieldName}.input-field`}>
-                    <InvocationInputFieldCheck nodeId={nodeId} fieldName={fieldName}>
-                      <InputField nodeId={nodeId} fieldName={fieldName} />
-                    </InvocationInputFieldCheck>
-                  </GridItem>
-                ))}
-                {outputFieldNames.map((fieldName, i) => (
-                  <GridItem gridColumnStart={2} gridRowStart={i + 1} key={`${nodeId}.${fieldName}.output-field`}>
-                    <OutputField nodeId={nodeId} fieldName={fieldName} />
-                  </GridItem>
-                ))}
+                <ConnectionFields nodeId={nodeId} />
+                <OutputFields nodeId={nodeId} />
               </Grid>
-              {fieldNames.anyOrDirectFields.map((fieldName) => (
-                <InvocationInputFieldCheck
-                  key={`${nodeId}.${fieldName}.input-field`}
-                  nodeId={nodeId}
-                  fieldName={fieldName}
-                >
-                  <InputField nodeId={nodeId} fieldName={fieldName} />
-                </InvocationInputFieldCheck>
-              ))}
-              {fieldNames.missingFields.map((fieldName) => (
-                <InvocationInputFieldCheck
-                  key={`${nodeId}.${fieldName}.input-field`}
-                  nodeId={nodeId}
-                  fieldName={fieldName}
-                >
-                  <InputField nodeId={nodeId} fieldName={fieldName} />
-                </InvocationInputFieldCheck>
-              ))}
+              <AnyOrDirectFields nodeId={nodeId} />
+              <MissingFields nodeId={nodeId} />
             </Flex>
           </Flex>
           {withFooter && <InvocationNodeFooter nodeId={nodeId} />}
         </>
       )}
-    </NodeWrapper>
+    </>
   );
 };
 
 export default memo(InvocationNode);
+
+const ConnectionFields = memo(({ nodeId }: { nodeId: string }) => {
+  const fieldNames = useInputFieldNamesConnection(nodeId);
+  return (
+    <>
+      {fieldNames.map((fieldName, i) => (
+        <GridItem gridColumnStart={1} gridRowStart={i + 1} key={`${nodeId}.${fieldName}.input-field`}>
+          <InputFieldGate nodeId={nodeId} fieldName={fieldName}>
+            <InputFieldEditModeNodes nodeId={nodeId} fieldName={fieldName} />
+          </InputFieldGate>
+        </GridItem>
+      ))}
+    </>
+  );
+});
+ConnectionFields.displayName = 'ConnectionFields';
+
+const AnyOrDirectFields = memo(({ nodeId }: { nodeId: string }) => {
+  const fieldNames = useInputFieldNamesAnyOrDirect(nodeId);
+  return (
+    <>
+      {fieldNames.map((fieldName) => (
+        <InputFieldGate key={`${nodeId}.${fieldName}.input-field`} nodeId={nodeId} fieldName={fieldName}>
+          <InputFieldEditModeNodes nodeId={nodeId} fieldName={fieldName} />
+        </InputFieldGate>
+      ))}
+    </>
+  );
+});
+AnyOrDirectFields.displayName = 'AnyOrDirectFields';
+
+const MissingFields = memo(({ nodeId }: { nodeId: string }) => {
+  const fieldNames = useInputFieldNamesMissing(nodeId);
+  return (
+    <>
+      {fieldNames.map((fieldName) => (
+        <InputFieldGate key={`${nodeId}.${fieldName}.input-field`} nodeId={nodeId} fieldName={fieldName}>
+          <InputFieldEditModeNodes nodeId={nodeId} fieldName={fieldName} />
+        </InputFieldGate>
+      ))}
+    </>
+  );
+});
+MissingFields.displayName = 'MissingFields';
+
+const OutputFields = memo(({ nodeId }: { nodeId: string }) => {
+  const fieldNames = useOutputFieldNames(nodeId);
+  return (
+    <>
+      {fieldNames.map((fieldName, i) => (
+        <GridItem gridColumnStart={2} gridRowStart={i + 1} key={`${nodeId}.${fieldName}.output-field`}>
+          <OutputFieldGate nodeId={nodeId} fieldName={fieldName}>
+            <OutputFieldNodesEditorView nodeId={nodeId} fieldName={fieldName} />
+          </OutputFieldGate>
+        </GridItem>
+      ))}
+    </>
+  );
+});
+OutputFields.displayName = 'OutputFields';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeCollapsedHandles.tsx

@@ -1,40 +1,25 @@
-import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
+import { Handle, Position } from '@xyflow/react';
 import { useNodeTemplate } from 'features/nodes/hooks/useNodeTemplate';
 import { map } from 'lodash-es';
 import type { CSSProperties } from 'react';
-import { memo, useMemo } from 'react';
-import { Handle, Position } from 'reactflow';
+import { memo } from 'react';
 
 interface Props {
   nodeId: string;
 }
 
 const hiddenHandleStyles: CSSProperties = { visibility: 'hidden' };
+const collapsedHandleStyles: CSSProperties = {
+  borderWidth: 0,
+  borderRadius: '3px',
+  width: '1rem',
+  height: '1rem',
+  backgroundColor: 'var(--invoke-colors-base-600)',
+  zIndex: -1,
+};
 
 const InvocationNodeCollapsedHandles = ({ nodeId }: Props) => {
   const template = useNodeTemplate(nodeId);
-  const { base600 } = useChakraThemeTokens();
-
-  const dummyHandleStyles: CSSProperties = useMemo(
-    () => ({
-      borderWidth: 0,
-      borderRadius: '3px',
-      width: '1rem',
-      height: '1rem',
-      backgroundColor: base600,
-      zIndex: -1,
-    }),
-    [base600]
-  );
-
-  const collapsedTargetStyles: CSSProperties = useMemo(
-    () => ({ ...dummyHandleStyles, left: '-0.5rem' }),
-    [dummyHandleStyles]
-  );
-  const collapsedSourceStyles: CSSProperties = useMemo(
-    () => ({ ...dummyHandleStyles, right: '-0.5rem' }),
-    [dummyHandleStyles]
-  );
 
   if (!template) {
     return null;
@@ -47,7 +32,7 @@ const InvocationNodeCollapsedHandles = ({ nodeId }: Props) => {
         id={`${nodeId}-collapsed-target`}
         isConnectable={false}
         position={Position.Left}
-        style={collapsedTargetStyles}
+        style={collapsedHandleStyles}
       />
       {map(template.inputs, (input) => (
         <Handle
@@ -64,7 +49,7 @@ const InvocationNodeCollapsedHandles = ({ nodeId }: Props) => {
         id={`${nodeId}-collapsed-source`}
         isConnectable={false}
         position={Position.Right}
-        style={collapsedSourceStyles}
+        style={collapsedHandleStyles}
       />
       {map(template.outputs, (output) => (
         <Handle

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeFooter.tsx

@@ -1,6 +1,7 @@
 import type { ChakraProps } from '@invoke-ai/ui-library';
 import { Flex, FormControlGroup } from '@invoke-ai/ui-library';
-import { useHasImageOutput } from 'features/nodes/hooks/useHasImageOutput';
+import { useIsExecutableNode } from 'features/nodes/hooks/useIsBatchNode';
+import { useNodeHasImageOutput } from 'features/nodes/hooks/useNodeHasImageOutput';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { memo } from 'react';
@@ -15,7 +16,8 @@ type Props = {
 const props: ChakraProps = { w: 'unset' };
 
 const InvocationNodeFooter = ({ nodeId }: Props) => {
-  const hasImageOutput = useHasImageOutput(nodeId);
+  const hasImageOutput = useNodeHasImageOutput(nodeId);
+  const isExecutableNode = useIsExecutableNode(nodeId);
   const isCacheEnabled = useFeatureStatus('invocationCache');
   return (
     <Flex
@@ -30,8 +32,8 @@ const InvocationNodeFooter = ({ nodeId }: Props) => {
       justifyContent="space-between"
     >
       <FormControlGroup formControlProps={props} formLabelProps={props}>
-        {isCacheEnabled && <UseCacheCheckbox nodeId={nodeId} />}
-        {hasImageOutput && <SaveToGalleryCheckbox nodeId={nodeId} />}
+        {isExecutableNode && isCacheEnabled && <UseCacheCheckbox nodeId={nodeId} />}
+        {isExecutableNode && hasImageOutput && <SaveToGalleryCheckbox nodeId={nodeId} />}
       </FormControlGroup>
     </Flex>
   );

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeHeader.tsx

@@ -1,33 +1,41 @@
+import type { SystemStyleObject } from '@invoke-ai/ui-library';
 import { Flex } from '@invoke-ai/ui-library';
 import NodeCollapseButton from 'features/nodes/components/flow/nodes/common/NodeCollapseButton';
 import NodeTitle from 'features/nodes/components/flow/nodes/common/NodeTitle';
 import InvocationNodeClassificationIcon from 'features/nodes/components/flow/nodes/Invocation/InvocationNodeClassificationIcon';
+import { useNodeIsInvalid } from 'features/nodes/hooks/useNodeIsInvalid';
 import { memo } from 'react';
 
 import InvocationNodeCollapsedHandles from './InvocationNodeCollapsedHandles';
-import InvocationNodeInfoIcon from './InvocationNodeInfoIcon';
+import { InvocationNodeInfoIcon } from './InvocationNodeInfoIcon';
 import InvocationNodeStatusIndicator from './InvocationNodeStatusIndicator';
 
 type Props = {
   nodeId: string;
   isOpen: boolean;
-  label: string;
-  type: string;
-  selected: boolean;
+};
+
+const sx: SystemStyleObject = {
+  borderTopRadius: 'base',
+  alignItems: 'center',
+  justifyContent: 'space-between',
+  h: 8,
+  textAlign: 'center',
+  color: 'base.200',
+  borderBottomRadius: 'base',
+  '&[data-is-open="true"]': {
+    borderBottomRadius: 0,
+  },
+  '&[data-is-invalid="true"]': {
+    color: 'error.300',
+  },
 };
 
 const InvocationNodeHeader = ({ nodeId, isOpen }: Props) => {
+  const isInvalid = useNodeIsInvalid(nodeId);
+
   return (
-    <Flex
-      layerStyle="nodeHeader"
-      borderTopRadius="base"
-      borderBottomRadius={isOpen ? 0 : 'base'}
-      alignItems="center"
-      justifyContent="space-between"
-      h={8}
-      textAlign="center"
-      color="base.200"
-    >
+    <Flex layerStyle="nodeHeader" sx={sx} data-is-open={isOpen} data-is-invalid={isInvalid}>
       <NodeCollapseButton nodeId={nodeId} isOpen={isOpen} />
       <InvocationNodeClassificationIcon nodeId={nodeId} />
       <NodeTitle nodeId={nodeId} />

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeInfoIcon.tsx

@@ -1,9 +1,10 @@
 import { Flex, Icon, Text, Tooltip } from '@invoke-ai/ui-library';
 import { compare } from 'compare-versions';
-import { useNode } from 'features/nodes/hooks/useNode';
+import { useNodeLabel } from 'features/nodes/hooks/useNodeLabel';
 import { useNodeNeedsUpdate } from 'features/nodes/hooks/useNodeNeedsUpdate';
+import { useInvocationNodeNotes } from 'features/nodes/hooks/useNodeNotes';
 import { useNodeTemplate } from 'features/nodes/hooks/useNodeTemplate';
-import { isInvocationNode } from 'features/nodes/types/invocation';
+import { useNodeVersion } from 'features/nodes/hooks/useNodeVersion';
 import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiInfoBold } from 'react-icons/pi';
@@ -12,7 +13,7 @@ interface Props {
   nodeId: string;
 }
 
-const InvocationNodeInfoIcon = ({ nodeId }: Props) => {
+export const InvocationNodeInfoIcon = memo(({ nodeId }: Props) => {
   const needsUpdate = useNodeNeedsUpdate(nodeId);
 
   return (
@@ -20,96 +21,66 @@ const InvocationNodeInfoIcon = ({ nodeId }: Props) => {
       <Icon as={PiInfoBold} display="block" boxSize={4} w={8} color={needsUpdate ? 'error.400' : 'base.400'} />
     </Tooltip>
   );
-};
+});
 
-export default memo(InvocationNodeInfoIcon);
+InvocationNodeInfoIcon.displayName = 'InvocationNodeInfoIcon';
 
 const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
-  const node = useNode(nodeId);
+  const notes = useInvocationNodeNotes(nodeId);
+  const label = useNodeLabel(nodeId);
+  const version = useNodeVersion(nodeId);
   const nodeTemplate = useNodeTemplate(nodeId);
   const { t } = useTranslation();
 
   const title = useMemo(() => {
-    if (node.data?.label && nodeTemplate?.title) {
-      return `${node.data.label} (${nodeTemplate.title})`;
+    if (label) {
+      return `${label} (${nodeTemplate.title})`;
     }
 
-    if (node.data?.label && !nodeTemplate) {
-      return node.data.label;
-    }
-
-    if (!node.data?.label && nodeTemplate) {
-      return nodeTemplate.title;
-    }
-
-    return t('nodes.unknownNode');
-  }, [node.data.label, nodeTemplate, t]);
-
-  const versionComponent = useMemo(() => {
-    if (!isInvocationNode(node) || !nodeTemplate) {
-      return null;
-    }
-
-    if (!node.data.version) {
-      return (
-        <Text as="span" color="error.500">
-          {t('nodes.versionUnknown')}
-        </Text>
-      );
-    }
-
-    if (!nodeTemplate.version) {
-      return (
-        <Text as="span" color="error.500">
-          {t('nodes.version')} {node.data.version} ({t('nodes.unknownTemplate')})
-        </Text>
-      );
-    }
-
-    if (compare(node.data.version, nodeTemplate.version, '<')) {
-      return (
-        <Text as="span" color="error.500">
-          {t('nodes.version')} {node.data.version} ({t('nodes.updateNode')})
-        </Text>
-      );
-    }
-
-    if (compare(node.data.version, nodeTemplate.version, '>')) {
-      return (
-        <Text as="span" color="error.500">
-          {t('nodes.version')} {node.data.version} ({t('nodes.updateApp')})
-        </Text>
-      );
-    }
-
-    return (
-      <Text as="span">
-        {t('nodes.version')} {node.data.version}
-      </Text>
-    );
-  }, [node, nodeTemplate, t]);
-
-  if (!isInvocationNode(node)) {
-    return <Text fontWeight="semibold">{t('nodes.unknownNode')}</Text>;
-  }
+    return nodeTemplate.title;
+  }, [label, nodeTemplate.title]);
 
   return (
     <Flex flexDir="column">
       <Text as="span" fontWeight="semibold">
         {title}
       </Text>
-      {nodeTemplate?.nodePack && (
-        <Text opacity={0.7}>
-          {t('nodes.nodePack')}: {nodeTemplate.nodePack}
-        </Text>
-      )}
-      <Text opacity={0.7} fontStyle="oblique 5deg">
-        {nodeTemplate?.description}
+      <Text opacity={0.7}>
+        {t('nodes.nodePack')}: {nodeTemplate.nodePack}
       </Text>
-      {versionComponent}
-      {node.data?.notes && <Text>{node.data.notes}</Text>}
+      <Text opacity={0.7} fontStyle="oblique 5deg">
+        {nodeTemplate.description}
+      </Text>
+      <Version nodeVersion={version} templateVersion={nodeTemplate.version} />
+      {notes && <Text>{notes}</Text>}
     </Flex>
   );
 });
 
 TooltipContent.displayName = 'TooltipContent';
+
+const Version = ({ nodeVersion, templateVersion }: { nodeVersion: string; templateVersion: string }) => {
+  const { t } = useTranslation();
+
+  if (compare(nodeVersion, templateVersion, '<')) {
+    return (
+      <Text as="span" color="error.500">
+        {t('nodes.version')} {nodeVersion} ({t('nodes.updateNode')})
+      </Text>
+    );
+  }
+
+  if (compare(nodeVersion, templateVersion, '>')) {
+    return (
+      <Text as="span" color="error.500">
+        {t('nodes.version')} {nodeVersion} ({t('nodes.updateApp')})
+      </Text>
+    );
+  }
+
+  return (
+    <Text as="span">
+      {t('nodes.version')} {nodeVersion}
+    </Text>
+  );
+};

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotesTextarea.tsx

@@ -1,31 +1,31 @@
 import { FormControl, FormLabel, Textarea } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { useNode } from 'features/nodes/hooks/useNode';
+import { useInvocationNodeNotes } from 'features/nodes/hooks/useNodeNotes';
 import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
-import { isInvocationNode } from 'features/nodes/types/invocation';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
-const NotesTextarea = ({ nodeId }: { nodeId: string }) => {
+type Props = {
+  nodeId: string;
+};
+
+export const InvocationNodeNotesTextarea = memo(({ nodeId }: Props) => {
   const dispatch = useAppDispatch();
-  const node = useNode(nodeId);
   const { t } = useTranslation();
+  const notes = useInvocationNodeNotes(nodeId);
   const handleNotesChanged = useCallback(
     (e: ChangeEvent<HTMLTextAreaElement>) => {
       dispatch(nodeNotesChanged({ nodeId, notes: e.target.value }));
     },
     [dispatch, nodeId]
   );
-  if (!isInvocationNode(node)) {
-    return null;
-  }
   return (
     <FormControl orientation="vertical" h="full">
       <FormLabel>{t('nodes.notes')}</FormLabel>
-      <Textarea value={node.data?.notes} onChange={handleNotesChanged} rows={10} resize="none" />
+      <Textarea value={notes} onChange={handleNotesChanged} rows={10} resize="none" variant="darkFilled" />
     </FormControl>
   );
-};
+});
 
-export default memo(NotesTextarea);
+InvocationNodeNotesTextarea.displayName = 'InvocationNodeNotesTextarea';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeStatusIndicator.tsx

@@ -1,6 +1,6 @@
 import type { SystemStyleObject } from '@invoke-ai/ui-library';
 import { Badge, CircularProgress, Flex, Icon, Image, Text, Tooltip } from '@invoke-ai/ui-library';
-import { useExecutionState } from 'features/nodes/hooks/useExecutionState';
+import { useNodeExecutionState } from 'features/nodes/hooks/useNodeExecutionState';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import type { NodeExecutionState } from 'features/nodes/types/invocation';
 import { zNodeStatus } from 'features/nodes/types/invocation';
@@ -22,7 +22,7 @@ const circleStyles: SystemStyleObject = {
 };
 
 const InvocationNodeStatusIndicator = ({ nodeId }: Props) => {
-  const nodeExecutionState = useExecutionState(nodeId);
+  const nodeExecutionState = useNodeExecutionState(nodeId);
 
   if (!nodeExecutionState) {
     return null;

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeUnknownFallback.tsx

@@ -1,6 +1,5 @@
 import { Flex, Text } from '@invoke-ai/ui-library';
 import NodeCollapseButton from 'features/nodes/components/flow/nodes/common/NodeCollapseButton';
-import NodeWrapper from 'features/nodes/components/flow/nodes/common/NodeWrapper';
 import { useNodePack } from 'features/nodes/hooks/useNodePack';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { memo } from 'react';
@@ -11,14 +10,13 @@ type Props = {
   isOpen: boolean;
   label: string;
   type: string;
-  selected: boolean;
 };
 
-const InvocationNodeUnknownFallback = ({ nodeId, isOpen, label, type, selected }: Props) => {
+const InvocationNodeUnknownFallback = ({ nodeId, isOpen, label, type }: Props) => {
   const { t } = useTranslation();
   const nodePack = useNodePack(nodeId);
   return (
-    <NodeWrapper nodeId={nodeId} selected={selected}>
+    <>
       <Flex
         className={DRAG_HANDLE_CLASSNAME}
         layerStyle="nodeHeader"
@@ -64,7 +62,7 @@ const InvocationNodeUnknownFallback = ({ nodeId, isOpen, label, type, selected }
           </Flex>
         </Flex>
       )}
-    </NodeWrapper>
+    </>
   );
 };
 

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeWrapper.tsx

@@ -1,16 +1,17 @@
 import { useStore } from '@nanostores/react';
 import { createSelector } from '@reduxjs/toolkit';
+import type { Node, NodeProps } from '@xyflow/react';
 import { useAppSelector } from 'app/store/storeHooks';
+import NodeWrapper from 'features/nodes/components/flow/nodes/common/NodeWrapper';
 import InvocationNode from 'features/nodes/components/flow/nodes/Invocation/InvocationNode';
 import { $templates } from 'features/nodes/store/nodesSlice';
 import { selectNodes } from 'features/nodes/store/selectors';
 import type { InvocationNodeData } from 'features/nodes/types/invocation';
 import { memo, useMemo } from 'react';
-import type { NodeProps } from 'reactflow';
 
 import InvocationNodeUnknownFallback from './InvocationNodeUnknownFallback';
 
-const InvocationNodeWrapper = (props: NodeProps<InvocationNodeData>) => {
+const InvocationNodeWrapper = (props: NodeProps<Node<InvocationNodeData>>) => {
   const { data, selected } = props;
   const { id: nodeId, type, isOpen, label } = data;
   const templates = useStore($templates);
@@ -27,11 +28,17 @@ const InvocationNodeWrapper = (props: NodeProps<InvocationNodeData>) => {
 
   if (!hasTemplate) {
     return (
-      <InvocationNodeUnknownFallback nodeId={nodeId} isOpen={isOpen} label={label} type={type} selected={selected} />
+      <NodeWrapper nodeId={nodeId} selected={selected}>
+        <InvocationNodeUnknownFallback nodeId={nodeId} isOpen={isOpen} label={label} type={type} />
+      </NodeWrapper>
     );
   }
 
-  return <InvocationNode nodeId={nodeId} isOpen={isOpen} label={label} type={type} selected={selected} />;
+  return (
+    <NodeWrapper nodeId={nodeId} selected={selected}>
+      <InvocationNode nodeId={nodeId} isOpen={isOpen} />
+    </NodeWrapper>
+  );
 };
 
 export default memo(InvocationNodeWrapper);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/SaveToGalleryCheckbox.tsx

@@ -1,8 +1,9 @@
 import { Checkbox, FormControl, FormLabel } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { useHasImageOutput } from 'features/nodes/hooks/useHasImageOutput';
-import { useIsIntermediate } from 'features/nodes/hooks/useIsIntermediate';
+import { useNodeHasImageOutput } from 'features/nodes/hooks/useNodeHasImageOutput';
+import { useNodeIsIntermediate } from 'features/nodes/hooks/useNodeIsIntermediate';
 import { nodeIsIntermediateChanged } from 'features/nodes/store/nodesSlice';
+import { NO_PAN_CLASS } from 'features/nodes/types/constants';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -10,8 +11,8 @@ import { useTranslation } from 'react-i18next';
 const SaveToGalleryCheckbox = ({ nodeId }: { nodeId: string }) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
-  const hasImageOutput = useHasImageOutput(nodeId);
-  const isIntermediate = useIsIntermediate(nodeId);
+  const hasImageOutput = useNodeHasImageOutput(nodeId);
+  const isIntermediate = useNodeIsIntermediate(nodeId);
   const handleChange = useCallback(
     (e: ChangeEvent<HTMLInputElement>) => {
       dispatch(
@@ -29,8 +30,8 @@ const SaveToGalleryCheckbox = ({ nodeId }: { nodeId: string }) => {
   }
 
   return (
-    <FormControl className="nopan">
-      <FormLabel>{t('nodes.saveToGallery')} </FormLabel>
+    <FormControl className={NO_PAN_CLASS}>
+      <FormLabel m={0}>{t('nodes.saveToGallery')} </FormLabel>
       <Checkbox onChange={handleChange} isChecked={!isIntermediate} />
     </FormControl>
   );

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/UseCacheCheckbox.tsx

@@ -2,6 +2,7 @@ import { Checkbox, FormControl, FormLabel } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { useUseCache } from 'features/nodes/hooks/useUseCache';
 import { nodeUseCacheChanged } from 'features/nodes/store/nodesSlice';
+import { NO_FIT_ON_DOUBLE_CLICK_CLASS, NO_PAN_CLASS } from 'features/nodes/types/constants';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -22,9 +23,9 @@ const UseCacheCheckbox = ({ nodeId }: { nodeId: string }) => {
   );
   const { t } = useTranslation();
   return (
-    <FormControl>
-      <FormLabel>{t('invocationCache.useCache')}</FormLabel>
-      <Checkbox className="nopan" onChange={handleChange} isChecked={useCache} />
+    <FormControl className={NO_FIT_ON_DOUBLE_CLICK_CLASS}>
+      <FormLabel m={0}>{t('invocationCache.useCache')}</FormLabel>
+      <Checkbox className={NO_PAN_CLASS} onChange={handleChange} isChecked={useCache} />
     </FormControl>
   );
 };

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/EditableFieldTitle.tsx

@@ -1,143 +0,0 @@
-import type { SystemStyleObject } from '@invoke-ai/ui-library';
-import {
-  Editable,
-  EditableInput,
-  EditablePreview,
-  Flex,
-  forwardRef,
-  Tooltip,
-  useEditableControls,
-} from '@invoke-ai/ui-library';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { useFieldLabel } from 'features/nodes/hooks/useFieldLabel';
-import { useFieldTemplateTitle } from 'features/nodes/hooks/useFieldTemplateTitle';
-import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
-import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
-import type { MouseEvent } from 'react';
-import { memo, useCallback, useEffect, useState } from 'react';
-import { useTranslation } from 'react-i18next';
-
-import FieldTooltipContent from './FieldTooltipContent';
-
-interface Props {
-  nodeId: string;
-  fieldName: string;
-  kind: 'inputs' | 'outputs';
-  isInvalid?: boolean;
-  withTooltip?: boolean;
-  shouldDim?: boolean;
-}
-
-const EditableFieldTitle = forwardRef((props: Props, ref) => {
-  const { nodeId, fieldName, kind, isInvalid = false, withTooltip = false, shouldDim = false } = props;
-  const label = useFieldLabel(nodeId, fieldName);
-  const fieldTemplateTitle = useFieldTemplateTitle(nodeId, fieldName, kind);
-  const { t } = useTranslation();
-
-  const dispatch = useAppDispatch();
-  const [localTitle, setLocalTitle] = useState(label || fieldTemplateTitle || t('nodes.unknownField'));
-
-  const handleSubmit = useCallback(
-    (newTitleRaw: string) => {
-      const newTitle = newTitleRaw.trim();
-      const finalTitle = newTitle || fieldTemplateTitle || t('nodes.unknownField');
-      setLocalTitle(finalTitle);
-      dispatch(fieldLabelChanged({ nodeId, fieldName, label: finalTitle }));
-    },
-    [fieldTemplateTitle, dispatch, nodeId, fieldName, t]
-  );
-
-  const handleChange = useCallback((newTitle: string) => {
-    setLocalTitle(newTitle);
-  }, []);
-
-  useEffect(() => {
-    // Another component may change the title; sync local title with global state
-    setLocalTitle(label || fieldTemplateTitle || t('nodes.unknownField'));
-  }, [label, fieldTemplateTitle, t]);
-
-  return (
-    <Editable
-      value={localTitle}
-      onChange={handleChange}
-      onSubmit={handleSubmit}
-      as={Flex}
-      ref={ref}
-      position="relative"
-      overflow="hidden"
-      alignItems="center"
-      justifyContent="flex-start"
-      gap={1}
-      w="full"
-    >
-      <Tooltip
-        label={withTooltip ? <FieldTooltipContent nodeId={nodeId} fieldName={fieldName} kind="inputs" /> : undefined}
-        openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
-      >
-        <EditablePreview
-          fontWeight="semibold"
-          sx={editablePreviewStyles}
-          noOfLines={1}
-          color={isInvalid ? 'error.300' : 'base.300'}
-          opacity={shouldDim ? 0.5 : 1}
-        />
-      </Tooltip>
-      <EditableInput className="nodrag" sx={editableInputStyles} />
-      <EditableControls />
-    </Editable>
-  );
-});
-
-const editableInputStyles: SystemStyleObject = {
-  p: 0,
-  w: 'full',
-  fontWeight: 'semibold',
-  color: 'base.100',
-  _focusVisible: {
-    p: 0,
-    textAlign: 'left',
-    boxShadow: 'none',
-  },
-};
-const editablePreviewStyles: SystemStyleObject = {
-  p: 0,
-  textAlign: 'left',
-  _hover: {
-    fontWeight: 'semibold !important',
-  },
-};
-
-export default memo(EditableFieldTitle);
-
-const EditableControls = memo(() => {
-  const { isEditing, getEditButtonProps } = useEditableControls();
-  const handleClick = useCallback(
-    (e: MouseEvent<HTMLDivElement>) => {
-      const { onClick } = getEditButtonProps();
-      if (!onClick) {
-        return;
-      }
-      onClick(e);
-      e.preventDefault();
-    },
-    [getEditButtonProps]
-  );
-
-  if (isEditing) {
-    return null;
-  }
-
-  return (
-    <Flex
-      onClick={handleClick}
-      position="absolute"
-      w="min-content"
-      h="full"
-      top={0}
-      insetInlineStart={0}
-      cursor="text"
-    />
-  );
-});
-
-EditableControls.displayName = 'EditableControls';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldHandle.tsx

@@ -1,94 +0,0 @@
-import { Tooltip } from '@invoke-ai/ui-library';
-import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
-import { getFieldColor } from 'features/nodes/components/flow/edges/util/getEdgeColor';
-import { useFieldTypeName } from 'features/nodes/hooks/usePrettyFieldType';
-import type { ValidationResult } from 'features/nodes/store/util/validateConnection';
-import { HANDLE_TOOLTIP_OPEN_DELAY, MODEL_TYPES } from 'features/nodes/types/constants';
-import { type FieldInputTemplate, type FieldOutputTemplate, isSingle } from 'features/nodes/types/field';
-import type { CSSProperties } from 'react';
-import { memo, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
-import type { HandleType } from 'reactflow';
-import { Handle, Position } from 'reactflow';
-
-type FieldHandleProps = {
-  fieldTemplate: FieldInputTemplate | FieldOutputTemplate;
-  handleType: HandleType;
-  isConnectionInProgress: boolean;
-  isConnectionStartField: boolean;
-  validationResult: ValidationResult;
-};
-
-const FieldHandle = (props: FieldHandleProps) => {
-  const { fieldTemplate, handleType, isConnectionInProgress, isConnectionStartField, validationResult } = props;
-  const { t } = useTranslation();
-  const { name } = fieldTemplate;
-  const type = fieldTemplate.type;
-  const fieldTypeName = useFieldTypeName(type);
-  const styles: CSSProperties = useMemo(() => {
-    const isModelType = MODEL_TYPES.some((t) => t === type.name);
-    const color = getFieldColor(type);
-    const s: CSSProperties = {
-      backgroundColor: !isSingle(type) ? colorTokenToCssVar('base.900') : color,
-      position: 'absolute',
-      width: '1rem',
-      height: '1rem',
-      borderWidth: !isSingle(type) ? 4 : 0,
-      borderStyle: 'solid',
-      borderColor: color,
-      borderRadius: isModelType || type.batch ? 4 : '100%',
-      zIndex: 1,
-      transformOrigin: 'center',
-    };
-
-    if (type.batch) {
-      s.transform = 'rotate(45deg) translateX(-0.3rem) translateY(-0.3rem)';
-    }
-
-    if (handleType === 'target') {
-      s.insetInlineStart = '-1rem';
-    } else {
-      s.insetInlineEnd = '-1rem';
-    }
-
-    if (isConnectionInProgress && !isConnectionStartField && !validationResult.isValid) {
-      s.filter = 'opacity(0.4) grayscale(0.7)';
-    }
-
-    if (isConnectionInProgress && !validationResult.isValid) {
-      if (isConnectionStartField) {
-        s.cursor = 'grab';
-      } else {
-        s.cursor = 'not-allowed';
-      }
-    } else {
-      s.cursor = 'crosshair';
-    }
-
-    return s;
-  }, [handleType, isConnectionInProgress, isConnectionStartField, type, validationResult.isValid]);
-
-  const tooltip = useMemo(() => {
-    if (isConnectionInProgress && validationResult.messageTKey) {
-      return t(validationResult.messageTKey);
-    }
-    return fieldTypeName;
-  }, [fieldTypeName, isConnectionInProgress, t, validationResult.messageTKey]);
-
-  return (
-    <Tooltip
-      label={tooltip}
-      placement={handleType === 'target' ? 'start' : 'end'}
-      openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
-    >
-      <Handle
-        type={handleType}
-        id={name}
-        position={handleType === 'target' ? Position.Left : Position.Right}
-        style={styles}
-      />
-    </Tooltip>
-  );
-};
-
-export default memo(FieldHandle);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldLinearViewToggle.tsx

@@ -1,68 +0,0 @@
-import { IconButton } from '@invoke-ai/ui-library';
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { useFieldValue } from 'features/nodes/hooks/useFieldValue';
-import {
-  selectWorkflowSlice,
-  workflowExposedFieldAdded,
-  workflowExposedFieldRemoved,
-} from 'features/nodes/store/workflowSlice';
-import { memo, useCallback, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
-import { PiMinusBold, PiPlusBold } from 'react-icons/pi';
-
-type Props = {
-  nodeId: string;
-  fieldName: string;
-};
-
-const FieldLinearViewToggle = ({ nodeId, fieldName }: Props) => {
-  const dispatch = useAppDispatch();
-  const { t } = useTranslation();
-  const value = useFieldValue(nodeId, fieldName);
-  const selectIsExposed = useMemo(
-    () =>
-      createSelector(selectWorkflowSlice, (workflow) => {
-        return Boolean(workflow.exposedFields.find((f) => f.nodeId === nodeId && f.fieldName === fieldName));
-      }),
-    [fieldName, nodeId]
-  );
-
-  const isExposed = useAppSelector(selectIsExposed);
-
-  const handleExposeField = useCallback(() => {
-    dispatch(workflowExposedFieldAdded({ nodeId, fieldName, value }));
-  }, [dispatch, fieldName, nodeId, value]);
-
-  const handleUnexposeField = useCallback(() => {
-    dispatch(workflowExposedFieldRemoved({ nodeId, fieldName }));
-  }, [dispatch, fieldName, nodeId]);
-
-  if (!isExposed) {
-    return (
-      <IconButton
-        variant="ghost"
-        tooltip={t('nodes.addLinearView')}
-        aria-label={t('nodes.addLinearView')}
-        icon={<PiPlusBold />}
-        onClick={handleExposeField}
-        pointerEvents="auto"
-        size="xs"
-      />
-    );
-  } else {
-    return (
-      <IconButton
-        variant="ghost"
-        tooltip={t('nodes.removeLinearView')}
-        aria-label={t('nodes.removeLinearView')}
-        icon={<PiMinusBold />}
-        onClick={handleUnexposeField}
-        pointerEvents="auto"
-        size="xs"
-      />
-    );
-  }
-};
-
-export default memo(FieldLinearViewToggle);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldResetToDefaultValueButton.tsx

@@ -1,42 +0,0 @@
-import { IconButton } from '@invoke-ai/ui-library';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { useFieldInputTemplate } from 'features/nodes/hooks/useFieldInputTemplate';
-import { useFieldValue } from 'features/nodes/hooks/useFieldValue';
-import { fieldValueReset } from 'features/nodes/store/nodesSlice';
-import { isEqual } from 'lodash-es';
-import { memo, useCallback, useMemo } from 'react';
-import { useTranslation } from 'react-i18next';
-import { PiArrowCounterClockwiseBold } from 'react-icons/pi';
-
-type Props = {
-  nodeId: string;
-  fieldName: string;
-};
-
-const FieldResetToDefaultValueButton = ({ nodeId, fieldName }: Props) => {
-  const dispatch = useAppDispatch();
-  const { t } = useTranslation();
-  const value = useFieldValue(nodeId, fieldName);
-  const fieldTemplate = useFieldInputTemplate(nodeId, fieldName);
-  const isDisabled = useMemo(() => {
-    return isEqual(value, fieldTemplate.default);
-  }, [value, fieldTemplate.default]);
-  const onClick = useCallback(() => {
-    dispatch(fieldValueReset({ nodeId, fieldName, value: fieldTemplate.default }));
-  }, [dispatch, fieldName, fieldTemplate.default, nodeId]);
-
-  return (
-    <IconButton
-      variant="ghost"
-      tooltip={t('nodes.resetToDefaultValue')}
-      aria-label={t('nodes.resetToDefaultValue')}
-      icon={<PiArrowCounterClockwiseBold />}
-      onClick={onClick}
-      isDisabled={isDisabled}
-      pointerEvents="auto"
-      size="xs"
-    />
-  );
-};
-
-export default memo(FieldResetToDefaultValueButton);