fix 1:1 ratio (#8127)

Co-authored-by: Mary Hipp <maryhipp@Marys-Air.lan>

.gitignore

@@ -180,7 +180,6 @@ cython_debug/
 # Scratch folder
 .scratch/
 .vscode/
-.zed/
 
 # source installer files
 installer/*zip

docs/contributing/frontend/workflows.md

@@ -297,7 +297,7 @@ Migration logic is in [migrations.ts].
 <!-- links -->
 
 [pydantic]: https://github.com/pydantic/pydantic 'pydantic'
-[zod]: https://github.com/colinhacks/zod 'zod/v4'
+[zod]: https://github.com/colinhacks/zod 'zod'
 [openapi-types]: https://github.com/kogosoftwarellc/open-api/tree/main/packages/openapi-types 'openapi-types'
 [reactflow]: https://github.com/xyflow/xyflow 'reactflow'
 [reactflow-concepts]: https://reactflow.dev/learn/concepts/terms-and-definitions

invokeai/app/api/routers/board_images.py

@@ -1,12 +1,21 @@
 from fastapi import Body, HTTPException
 from fastapi.routing import APIRouter
+from pydantic import BaseModel, Field
 
 from invokeai.app.api.dependencies import ApiDependencies
-from invokeai.app.services.images.images_common import AddImagesToBoardResult, RemoveImagesFromBoardResult
 
 board_images_router = APIRouter(prefix="/v1/board_images", tags=["boards"])
 
 
+class AddImagesToBoardResult(BaseModel):
+    board_id: str = Field(description="The id of the board the images were added to")
+    added_image_names: list[str] = Field(description="The image names that were added to the board")
+
+
+class RemoveImagesFromBoardResult(BaseModel):
+    removed_image_names: list[str] = Field(description="The image names that were removed from their board")
+
+
 @board_images_router.post(
     "/",
     operation_id="add_image_to_board",
@@ -14,26 +23,17 @@ board_images_router = APIRouter(prefix="/v1/board_images", tags=["boards"])
         201: {"description": "The image was added to a board successfully"},
     },
     status_code=201,
-    response_model=AddImagesToBoardResult,
 )
 async def add_image_to_board(
     board_id: str = Body(description="The id of the board to add to"),
     image_name: str = Body(description="The name of the image to add"),
-) -> AddImagesToBoardResult:
+):
     """Creates a board_image"""
     try:
-        added_images: set[str] = set()
-        affected_boards: set[str] = set()
-        old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
-        ApiDependencies.invoker.services.board_images.add_image_to_board(board_id=board_id, image_name=image_name)
-        added_images.add(image_name)
-        affected_boards.add(board_id)
-        affected_boards.add(old_board_id)
-
-        return AddImagesToBoardResult(
-            added_images=list(added_images),
-            affected_boards=list(affected_boards),
+        result = ApiDependencies.invoker.services.board_images.add_image_to_board(
+            board_id=board_id, image_name=image_name
         )
+        return result
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to add image to board")
 
@@ -45,25 +45,14 @@ async def add_image_to_board(
         201: {"description": "The image was removed from the board successfully"},
     },
     status_code=201,
-    response_model=RemoveImagesFromBoardResult,
 )
 async def remove_image_from_board(
     image_name: str = Body(description="The name of the image to remove", embed=True),
-) -> RemoveImagesFromBoardResult:
+):
     """Removes an image from its board, if it had one"""
     try:
-        removed_images: set[str] = set()
-        affected_boards: set[str] = set()
-        old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
-        ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
-        removed_images.add(image_name)
-        affected_boards.add("none")
-        affected_boards.add(old_board_id)
-        return RemoveImagesFromBoardResult(
-            removed_images=list(removed_images),
-            affected_boards=list(affected_boards),
-        )
-
+        result = ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
+        return result
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to remove image from board")
 
@@ -83,25 +72,16 @@ async def add_images_to_board(
 ) -> AddImagesToBoardResult:
     """Adds a list of images to a board"""
     try:
-        added_images: set[str] = set()
-        affected_boards: set[str] = set()
+        added_image_names: list[str] = []
         for image_name in image_names:
             try:
-                old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
                 ApiDependencies.invoker.services.board_images.add_image_to_board(
-                    board_id=board_id,
-                    image_name=image_name,
+                    board_id=board_id, image_name=image_name
                 )
-                added_images.add(image_name)
-                affected_boards.add(board_id)
-                affected_boards.add(old_board_id)
-
+                added_image_names.append(image_name)
             except Exception:
                 pass
-        return AddImagesToBoardResult(
-            added_images=list(added_images),
-            affected_boards=list(affected_boards),
-        )
+        return AddImagesToBoardResult(board_id=board_id, added_image_names=added_image_names)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to add images to board")
 
@@ -120,20 +100,13 @@ async def remove_images_from_board(
 ) -> RemoveImagesFromBoardResult:
     """Removes a list of images from their board, if they had one"""
     try:
-        removed_images: set[str] = set()
-        affected_boards: set[str] = set()
+        removed_image_names: list[str] = []
         for image_name in image_names:
             try:
-                old_board_id = ApiDependencies.invoker.services.images.get_dto(image_name).board_id or "none"
                 ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
-                removed_images.add(image_name)
-                affected_boards.add("none")
-                affected_boards.add(old_board_id)
+                removed_image_names.append(image_name)
             except Exception:
                 pass
-        return RemoveImagesFromBoardResult(
-            removed_images=list(removed_images),
-            affected_boards=list(affected_boards),
-        )
+        return RemoveImagesFromBoardResult(removed_image_names=removed_image_names)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to remove images from board")

invokeai/app/api/routers/images.py

@@ -14,17 +14,10 @@ from invokeai.app.api.extract_metadata_from_image import extract_metadata_from_i
 from invokeai.app.invocations.fields import MetadataField
 from invokeai.app.services.image_records.image_records_common import (
     ImageCategory,
-    ImageNamesResult,
     ImageRecordChanges,
     ResourceOrigin,
 )
-from invokeai.app.services.images.images_common import (
-    DeleteImagesResult,
-    ImageDTO,
-    ImageUrlsDTO,
-    StarredImagesResult,
-    UnstarredImagesResult,
-)
+from invokeai.app.services.images.images_common import ImageDTO, ImageUrlsDTO
 from invokeai.app.services.shared.pagination import OffsetPaginatedResults
 from invokeai.app.services.shared.sqlite.sqlite_common import SQLiteDirection
 from invokeai.app.util.controlnet_utils import heuristic_resize_fast
@@ -106,9 +99,7 @@ async def upload_image(
             raise HTTPException(status_code=400, detail="Invalid resize_to format or size")
 
         try:
-            # heuristic_resize_fast expects an RGB or RGBA image
-            pil_rgba = pil_image.convert("RGBA")
-            np_image = pil_to_np(pil_rgba)
+            np_image = pil_to_np(pil_image)
             np_image = heuristic_resize_fast(np_image, (resize_dims.width, resize_dims.height))
             pil_image = np_to_pil(np_image)
         except Exception:
@@ -160,30 +151,18 @@ async def create_image_upload_entry(
     raise HTTPException(status_code=501, detail="Not implemented")
 
 
-@images_router.delete("/i/{image_name}", operation_id="delete_image", response_model=DeleteImagesResult)
+@images_router.delete("/i/{image_name}", operation_id="delete_image")
 async def delete_image(
     image_name: str = Path(description="The name of the image to delete"),
-) -> DeleteImagesResult:
+) -> None:
     """Deletes an image"""
 
-    deleted_images: set[str] = set()
-    affected_boards: set[str] = set()
-
     try:
-        image_dto = ApiDependencies.invoker.services.images.get_dto(image_name)
-        board_id = image_dto.board_id or "none"
         ApiDependencies.invoker.services.images.delete(image_name)
-        deleted_images.add(image_name)
-        affected_boards.add(board_id)
     except Exception:
         # TODO: Does this need any exception handling at all?
         pass
 
-    return DeleteImagesResult(
-        deleted_images=list(deleted_images),
-        affected_boards=list(affected_boards),
-    )
-
 
 @images_router.delete("/intermediates", operation_id="clear_intermediates")
 async def clear_intermediates() -> int:
@@ -395,32 +374,31 @@ async def list_image_dtos(
     return image_dtos
 
 
-@images_router.post("/delete", operation_id="delete_images_from_list", response_model=DeleteImagesResult)
+class DeleteImagesFromListResult(BaseModel):
+    deleted_images: list[str]
+
+
+@images_router.post("/delete", operation_id="delete_images_from_list", response_model=DeleteImagesFromListResult)
 async def delete_images_from_list(
     image_names: list[str] = Body(description="The list of names of images to delete", embed=True),
-) -> DeleteImagesResult:
+) -> DeleteImagesFromListResult:
     try:
-        deleted_images: set[str] = set()
-        affected_boards: set[str] = set()
+        deleted_images: list[str] = []
         for image_name in image_names:
             try:
-                image_dto = ApiDependencies.invoker.services.images.get_dto(image_name)
-                board_id = image_dto.board_id or "none"
                 ApiDependencies.invoker.services.images.delete(image_name)
-                deleted_images.add(image_name)
-                affected_boards.add(board_id)
+                deleted_images.append(image_name)
             except Exception:
                 pass
-        return DeleteImagesResult(
-            deleted_images=list(deleted_images),
-            affected_boards=list(affected_boards),
-        )
+        return DeleteImagesFromListResult(deleted_images=deleted_images)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to delete images")
 
 
-@images_router.delete("/uncategorized", operation_id="delete_uncategorized_images", response_model=DeleteImagesResult)
-async def delete_uncategorized_images() -> DeleteImagesResult:
+@images_router.delete(
+    "/uncategorized", operation_id="delete_uncategorized_images", response_model=DeleteImagesFromListResult
+)
+async def delete_uncategorized_images() -> DeleteImagesFromListResult:
     """Deletes all images that are uncategorized"""
 
     image_names = ApiDependencies.invoker.services.board_images.get_all_board_image_names_for_board(
@@ -428,19 +406,14 @@ async def delete_uncategorized_images() -> DeleteImagesResult:
     )
 
     try:
-        deleted_images: set[str] = set()
-        affected_boards: set[str] = set()
+        deleted_images: list[str] = []
         for image_name in image_names:
             try:
                 ApiDependencies.invoker.services.images.delete(image_name)
-                deleted_images.add(image_name)
-                affected_boards.add("none")
+                deleted_images.append(image_name)
             except Exception:
                 pass
-        return DeleteImagesResult(
-            deleted_images=list(deleted_images),
-            affected_boards=list(affected_boards),
-        )
+        return DeleteImagesFromListResult(deleted_images=deleted_images)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to delete images")
 
@@ -449,50 +422,36 @@ class ImagesUpdatedFromListResult(BaseModel):
     updated_image_names: list[str] = Field(description="The image names that were updated")
 
 
-@images_router.post("/star", operation_id="star_images_in_list", response_model=StarredImagesResult)
+@images_router.post("/star", operation_id="star_images_in_list", response_model=ImagesUpdatedFromListResult)
 async def star_images_in_list(
     image_names: list[str] = Body(description="The list of names of images to star", embed=True),
-) -> StarredImagesResult:
+) -> ImagesUpdatedFromListResult:
     try:
-        starred_images: set[str] = set()
-        affected_boards: set[str] = set()
+        updated_image_names: list[str] = []
         for image_name in image_names:
             try:
-                updated_image_dto = ApiDependencies.invoker.services.images.update(
-                    image_name, changes=ImageRecordChanges(starred=True)
-                )
-                starred_images.add(image_name)
-                affected_boards.add(updated_image_dto.board_id or "none")
+                ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True))
+                updated_image_names.append(image_name)
             except Exception:
                 pass
-        return StarredImagesResult(
-            starred_images=list(starred_images),
-            affected_boards=list(affected_boards),
-        )
+        return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to star images")
 
 
-@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=UnstarredImagesResult)
+@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=ImagesUpdatedFromListResult)
 async def unstar_images_in_list(
     image_names: list[str] = Body(description="The list of names of images to unstar", embed=True),
-) -> UnstarredImagesResult:
+) -> ImagesUpdatedFromListResult:
     try:
-        unstarred_images: set[str] = set()
-        affected_boards: set[str] = set()
+        updated_image_names: list[str] = []
         for image_name in image_names:
             try:
-                updated_image_dto = ApiDependencies.invoker.services.images.update(
-                    image_name, changes=ImageRecordChanges(starred=False)
-                )
-                unstarred_images.add(image_name)
-                affected_boards.add(updated_image_dto.board_id or "none")
+                ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False))
+                updated_image_names.append(image_name)
             except Exception:
                 pass
-        return UnstarredImagesResult(
-            unstarred_images=list(unstarred_images),
-            affected_boards=list(affected_boards),
-        )
+        return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
     except Exception:
         raise HTTPException(status_code=500, detail="Failed to unstar images")
 
@@ -563,61 +522,3 @@ async def get_bulk_download_item(
         return response
     except Exception:
         raise HTTPException(status_code=404)
-
-
-@images_router.get("/names", operation_id="get_image_names")
-async def get_image_names(
-    image_origin: Optional[ResourceOrigin] = Query(default=None, description="The origin of images to list."),
-    categories: Optional[list[ImageCategory]] = Query(default=None, description="The categories of image to include."),
-    is_intermediate: Optional[bool] = Query(default=None, description="Whether to list intermediate images."),
-    board_id: Optional[str] = Query(
-        default=None,
-        description="The board id to filter by. Use 'none' to find images without a board.",
-    ),
-    order_dir: SQLiteDirection = Query(default=SQLiteDirection.Descending, description="The order of sort"),
-    starred_first: bool = Query(default=True, description="Whether to sort by starred images first"),
-    search_term: Optional[str] = Query(default=None, description="The term to search for"),
-) -> ImageNamesResult:
-    """Gets ordered list of image names with metadata for optimistic updates"""
-
-    try:
-        result = ApiDependencies.invoker.services.images.get_image_names(
-            starred_first=starred_first,
-            order_dir=order_dir,
-            image_origin=image_origin,
-            categories=categories,
-            is_intermediate=is_intermediate,
-            board_id=board_id,
-            search_term=search_term,
-        )
-        return result
-    except Exception:
-        raise HTTPException(status_code=500, detail="Failed to get image names")
-
-
-@images_router.post(
-    "/images_by_names",
-    operation_id="get_images_by_names",
-    responses={200: {"model": list[ImageDTO]}},
-)
-async def get_images_by_names(
-    image_names: list[str] = Body(embed=True, description="Object containing list of image names to fetch DTOs for"),
-) -> list[ImageDTO]:
-    """Gets image DTOs for the specified image names. Maintains order of input names."""
-
-    try:
-        image_service = ApiDependencies.invoker.services.images
-
-        # Fetch DTOs preserving the order of requested names
-        image_dtos: list[ImageDTO] = []
-        for name in image_names:
-            try:
-                dto = image_service.get_dto(name)
-                image_dtos.append(dto)
-            except Exception:
-                # Skip missing images - they may have been deleted between name fetch and DTO fetch
-                continue
-
-        return image_dtos
-    except Exception:
-        raise HTTPException(status_code=500, detail="Failed to get image DTOs")

invokeai/app/api/routers/session_queue.py

@@ -14,14 +14,13 @@ from invokeai.app.services.session_queue.session_queue_common import (
     CancelByBatchIDsResult,
     CancelByDestinationResult,
     ClearResult,
-    DeleteAllExceptCurrentResult,
-    DeleteByDestinationResult,
     EnqueueBatchResult,
     FieldIdentifier,
     PruneResult,
     RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
+    SessionQueueItemDTO,
     SessionQueueStatus,
 )
 from invokeai.app.services.shared.pagination import CursorPaginatedResults
@@ -69,7 +68,7 @@ async def enqueue_batch(
     "/{queue_id}/list",
     operation_id="list_queue_items",
     responses={
-        200: {"model": CursorPaginatedResults[SessionQueueItem]},
+        200: {"model": CursorPaginatedResults[SessionQueueItemDTO]},
     },
 )
 async def list_queue_items(
@@ -78,36 +77,11 @@ async def list_queue_items(
     status: Optional[QUEUE_ITEM_STATUS] = Query(default=None, description="The status of items to fetch"),
     cursor: Optional[int] = Query(default=None, description="The pagination cursor"),
     priority: int = Query(default=0, description="The pagination cursor priority"),
-    destination: Optional[str] = Query(default=None, description="The destination of queue items to fetch"),
-) -> CursorPaginatedResults[SessionQueueItem]:
-    """Gets cursor-paginated queue items"""
+) -> CursorPaginatedResults[SessionQueueItemDTO]:
+    """Gets all queue items (without graphs)"""
 
     return ApiDependencies.invoker.services.session_queue.list_queue_items(
-        queue_id=queue_id,
-        limit=limit,
-        status=status,
-        cursor=cursor,
-        priority=priority,
-        destination=destination,
-    )
-
-
-@session_queue_router.get(
-    "/{queue_id}/list_all",
-    operation_id="list_all_queue_items",
-    responses={
-        200: {"model": list[SessionQueueItem]},
-    },
-)
-async def list_all_queue_items(
-    queue_id: str = Path(description="The queue id to perform this operation on"),
-    destination: Optional[str] = Query(default=None, description="The destination of queue items to fetch"),
-) -> list[SessionQueueItem]:
-    """Gets all queue items"""
-
-    return ApiDependencies.invoker.services.session_queue.list_all_queue_items(
-        queue_id=queue_id,
-        destination=destination,
+        queue_id=queue_id, limit=limit, status=status, cursor=cursor, priority=priority
     )
 
 
@@ -147,18 +121,6 @@ async def cancel_all_except_current(
     return ApiDependencies.invoker.services.session_queue.cancel_all_except_current(queue_id=queue_id)
 
 
-@session_queue_router.put(
-    "/{queue_id}/delete_all_except_current",
-    operation_id="delete_all_except_current",
-    responses={200: {"model": DeleteAllExceptCurrentResult}},
-)
-async def delete_all_except_current(
-    queue_id: str = Path(description="The queue id to perform this operation on"),
-) -> DeleteAllExceptCurrentResult:
-    """Immediately deletes all queue items except in-processing items"""
-    return ApiDependencies.invoker.services.session_queue.delete_all_except_current(queue_id=queue_id)
-
-
 @session_queue_router.put(
     "/{queue_id}/cancel_by_batch_ids",
     operation_id="cancel_by_batch_ids",
@@ -307,18 +269,6 @@ async def get_queue_item(
     return ApiDependencies.invoker.services.session_queue.get_queue_item(item_id)
 
 
-@session_queue_router.delete(
-    "/{queue_id}/i/{item_id}",
-    operation_id="delete_queue_item",
-)
-async def delete_queue_item(
-    queue_id: str = Path(description="The queue id to perform this operation on"),
-    item_id: int = Path(description="The queue item to delete"),
-) -> None:
-    """Deletes a queue item"""
-    ApiDependencies.invoker.services.session_queue.delete_queue_item(item_id)
-
-
 @session_queue_router.put(
     "/{queue_id}/i/{item_id}/cancel",
     operation_id="cancel_queue_item",
@@ -348,18 +298,3 @@ async def counts_by_destination(
     return ApiDependencies.invoker.services.session_queue.get_counts_by_destination(
         queue_id=queue_id, destination=destination
     )
-
-
-@session_queue_router.delete(
-    "/{queue_id}/d/{destination}",
-    operation_id="delete_by_destination",
-    responses={200: {"model": DeleteByDestinationResult}},
-)
-async def delete_by_destination(
-    queue_id: str = Path(description="The queue id to query"),
-    destination: str = Path(description="The destination to query"),
-) -> DeleteByDestinationResult:
-    """Deletes all items with the given destination"""
-    return ApiDependencies.invoker.services.session_queue.delete_by_destination(
-        queue_id=queue_id, destination=destination
-    )

invokeai/app/api_app.py

@@ -158,7 +158,7 @@ web_root_path = Path(list(web_dir.__path__)[0])
 try:
     app.mount("/", NoCacheStaticFiles(directory=Path(web_root_path, "dist"), html=True), name="ui")
 except RuntimeError:
-    logger.warning(f"No UI found at {web_root_path}/dist, skipping UI mount")
+    logger.warn(f"No UI found at {web_root_path}/dist, skipping UI mount")
 app.mount(
     "/static", NoCacheStaticFiles(directory=Path(web_root_path, "static/")), name="static"
 )  # docs favicon is in here

invokeai/app/invocations/baseinvocation.py

@@ -499,7 +499,7 @@ def validate_fields(model_fields: dict[str, FieldInfo], model_type: str) -> None
 
         ui_type = field.json_schema_extra.get("ui_type", None)
         if isinstance(ui_type, str) and ui_type.startswith("DEPRECATED_"):
-            logger.warning(f'"UIType.{ui_type.split("_")[-1]}" is deprecated, ignoring')
+            logger.warn(f'"UIType.{ui_type.split("_")[-1]}" is deprecated, ignoring')
             field.json_schema_extra.pop("ui_type")
     return None
 
@@ -615,7 +615,7 @@ def invocation(
                 raise InvalidVersionError(f'Invalid version string for node "{invocation_type}": "{version}"') from e
             uiconfig["version"] = version
         else:
-            logger.warning(f'No version specified for node "{invocation_type}", using "1.0.0"')
+            logger.warn(f'No version specified for node "{invocation_type}", using "1.0.0"')
             uiconfig["version"] = "1.0.0"
 
         cls.UIConfig = UIConfigBase(**uiconfig)

invokeai/app/invocations/compel.py

@@ -114,13 +114,6 @@ class CompelInvocation(BaseInvocation):
 
             c, _options = compel.build_conditioning_tensor_for_conjunction(conjunction)
 
-        del compel
-        del patched_tokenizer
-        del tokenizer
-        del ti_manager
-        del text_encoder
-        del text_encoder_info
-
         c = c.detach().to("cpu")
 
         conditioning_data = ConditioningFieldData(conditionings=[BasicConditioningInfo(embeds=c)])
@@ -229,10 +222,7 @@ class SDXLPromptInvocationBase:
             else:
                 c_pooled = None
 
-        del compel
-        del patched_tokenizer
         del tokenizer
-        del ti_manager
         del text_encoder
         del text_encoder_info
 

invokeai/app/invocations/fields.py

@@ -438,7 +438,7 @@ class WithWorkflow:
     workflow = None
 
     def __init_subclass__(cls) -> None:
-        logger.warning(
+        logger.warn(
             f"{cls.__module__.split('.')[0]}.{cls.__name__}: WithWorkflow is deprecated. Use `context.workflow` to access the workflow."
         )
         super().__init_subclass__()
@@ -579,7 +579,7 @@ def InputField(
 
     if default_factory is not _Unset and default_factory is not None:
         default = default_factory()
-        logger.warning('"default_factory" is not supported, calling it now to set "default"')
+        logger.warn('"default_factory" is not supported, calling it now to set "default"')
 
     # These are the args we may wish pass to the pydantic `Field()` function
     field_args = {

invokeai/app/services/config/config_default.py

@@ -24,6 +24,7 @@ from invokeai.frontend.cli.arg_parser import InvokeAIArgs
 INIT_FILE = Path("invokeai.yaml")
 DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
+DEVICE = Literal["auto", "cpu", "cuda", "cuda:1", "mps"]
 PRECISION = Literal["auto", "float16", "bfloat16", "float32"]
 ATTENTION_TYPE = Literal["auto", "normal", "xformers", "sliced", "torch-sdp"]
 ATTENTION_SLICE_SIZE = Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8]
@@ -92,7 +93,7 @@ class InvokeAIAppConfig(BaseSettings):
         vram: DEPRECATED: This setting is no longer used. It has been replaced by `max_cache_vram_gb`, but most users will not need to use this config since automatic cache size limits should work well in most cases. This config setting will be removed once the new model cache behavior is stable.
         lazy_offload: DEPRECATED: This setting is no longer used. Lazy-offloading is enabled by default. This config setting will be removed once the new model cache behavior is stable.
         pytorch_cuda_alloc_conf: Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to "backend:cudaMallocAsync" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally.
-        device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `cuda:N` (where N is a device number)
+        device: Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `cuda:1`, `mps`
         precision: Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.<br>Valid values: `auto`, `float16`, `bfloat16`, `float32`
         sequential_guidance: Whether to calculate guidance in serial instead of in parallel, lowering memory requirements.
         attention_type: Attention type.<br>Valid values: `auto`, `normal`, `xformers`, `sliced`, `torch-sdp`
@@ -175,7 +176,7 @@ class InvokeAIAppConfig(BaseSettings):
     pytorch_cuda_alloc_conf: Optional[str] = Field(default=None,            description="Configure the Torch CUDA memory allocator. This will impact peak reserved VRAM usage and performance. Setting to \"backend:cudaMallocAsync\" works well on many systems. The optimal configuration is highly dependent on the system configuration (device type, VRAM, CUDA driver version, etc.), so must be tuned experimentally.")
 
     # DEVICE
-    device:                      str = Field(default="auto",                description="Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.<br>Valid values: `auto`, `cpu`, `cuda`, `mps`, `cuda:N` (where N is a device number)", pattern=r"^(auto|cpu|mps|cuda(:\d+)?)$")
+    device:                      DEVICE = Field(default="auto",             description="Preferred execution device. `auto` will choose the device depending on the hardware platform and the installed torch capabilities.")
     precision:                PRECISION = Field(default="auto",             description="Floating point precision. `float16` will consume half the memory of `float32` but produce slightly lower-quality images. The `auto` setting will guess the proper precision based on your video card and operating system.")
 
     # GENERATION

invokeai/app/services/image_records/image_records_base.py

@@ -5,7 +5,6 @@ from typing import Optional
 from invokeai.app.invocations.fields import MetadataField
 from invokeai.app.services.image_records.image_records_common import (
     ImageCategory,
-    ImageNamesResult,
     ImageRecord,
     ImageRecordChanges,
     ResourceOrigin,
@@ -98,17 +97,3 @@ class ImageRecordStorageBase(ABC):
     def get_most_recent_image_for_board(self, board_id: str) -> Optional[ImageRecord]:
         """Gets the most recent image for a board."""
         pass
-
-    @abstractmethod
-    def get_image_names(
-        self,
-        starred_first: bool = True,
-        order_dir: SQLiteDirection = SQLiteDirection.Descending,
-        image_origin: Optional[ResourceOrigin] = None,
-        categories: Optional[list[ImageCategory]] = None,
-        is_intermediate: Optional[bool] = None,
-        board_id: Optional[str] = None,
-        search_term: Optional[str] = None,
-    ) -> ImageNamesResult:
-        """Gets ordered list of image names with metadata for optimistic updates."""
-        pass

invokeai/app/services/image_records/image_records_common.py

@@ -3,7 +3,7 @@ import datetime
 from enum import Enum
 from typing import Optional, Union
 
-from pydantic import BaseModel, Field, StrictBool, StrictStr
+from pydantic import Field, StrictBool, StrictStr
 
 from invokeai.app.util.metaenum import MetaEnum
 from invokeai.app.util.misc import get_iso_timestamp
@@ -207,16 +207,3 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
         starred=starred,
         has_workflow=has_workflow,
     )
-
-
-class ImageCollectionCounts(BaseModel):
-    starred_count: int = Field(description="The number of starred images in the collection.")
-    unstarred_count: int = Field(description="The number of unstarred images in the collection.")
-
-
-class ImageNamesResult(BaseModel):
-    """Response containing ordered image names with metadata for optimistic updates."""
-
-    image_names: list[str] = Field(description="Ordered list of image names")
-    starred_count: int = Field(description="Number of starred images (when starred_first=True)")
-    total_count: int = Field(description="Total number of images matching the query")

invokeai/app/services/image_records/image_records_sqlite.py

@@ -7,7 +7,6 @@ from invokeai.app.services.image_records.image_records_base import ImageRecordSt
 from invokeai.app.services.image_records.image_records_common import (
     IMAGE_DTO_COLS,
     ImageCategory,
-    ImageNamesResult,
     ImageRecord,
     ImageRecordChanges,
     ImageRecordDeleteException,
@@ -197,13 +196,9 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         # Search term condition
         if search_term:
             query_conditions += """--sql
-            AND (
-                images.metadata LIKE ?
-                OR images.created_at LIKE ?
-            )
+            AND images.metadata LIKE ?
             """
             query_params.append(f"%{search_term.lower()}%")
-            query_params.append(f"%{search_term.lower()}%")
 
         if starred_first:
             query_pagination = f"""--sql
@@ -387,96 +382,3 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             return None
 
         return deserialize_image_record(dict(result))
-
-    def get_image_names(
-        self,
-        starred_first: bool = True,
-        order_dir: SQLiteDirection = SQLiteDirection.Descending,
-        image_origin: Optional[ResourceOrigin] = None,
-        categories: Optional[list[ImageCategory]] = None,
-        is_intermediate: Optional[bool] = None,
-        board_id: Optional[str] = None,
-        search_term: Optional[str] = None,
-    ) -> ImageNamesResult:
-        cursor = self._conn.cursor()
-
-        # Build query conditions (reused for both starred count and image names queries)
-        query_conditions = ""
-        query_params: list[Union[int, str, bool]] = []
-
-        if image_origin is not None:
-            query_conditions += """--sql
-            AND images.image_origin = ?
-            """
-            query_params.append(image_origin.value)
-
-        if categories is not None:
-            category_strings = [c.value for c in set(categories)]
-            placeholders = ",".join("?" * len(category_strings))
-            query_conditions += f"""--sql
-            AND images.image_category IN ( {placeholders} )
-            """
-            for c in category_strings:
-                query_params.append(c)
-
-        if is_intermediate is not None:
-            query_conditions += """--sql
-            AND images.is_intermediate = ?
-            """
-            query_params.append(is_intermediate)
-
-        if board_id == "none":
-            query_conditions += """--sql
-            AND board_images.board_id IS NULL
-            """
-        elif board_id is not None:
-            query_conditions += """--sql
-            AND board_images.board_id = ?
-            """
-            query_params.append(board_id)
-
-        if search_term:
-            query_conditions += """--sql
-            AND (
-                images.metadata LIKE ?
-                OR images.created_at LIKE ?
-            )
-            """
-            query_params.append(f"%{search_term.lower()}%")
-            query_params.append(f"%{search_term.lower()}%")
-
-        # Get starred count if starred_first is enabled
-        starred_count = 0
-        if starred_first:
-            starred_count_query = f"""--sql
-            SELECT COUNT(*)
-            FROM images
-            LEFT JOIN board_images ON board_images.image_name = images.image_name
-            WHERE images.starred = TRUE AND (1=1{query_conditions})
-            """
-            cursor.execute(starred_count_query, query_params)
-            starred_count = cast(int, cursor.fetchone()[0])
-
-        # Get all image names with proper ordering
-        if starred_first:
-            names_query = f"""--sql
-            SELECT images.image_name
-            FROM images
-            LEFT JOIN board_images ON board_images.image_name = images.image_name
-            WHERE 1=1{query_conditions}
-            ORDER BY images.starred DESC, images.created_at {order_dir.value}
-            """
-        else:
-            names_query = f"""--sql
-            SELECT images.image_name
-            FROM images
-            LEFT JOIN board_images ON board_images.image_name = images.image_name
-            WHERE 1=1{query_conditions}
-            ORDER BY images.created_at {order_dir.value}
-            """
-
-        cursor.execute(names_query, query_params)
-        result = cast(list[sqlite3.Row], cursor.fetchall())
-        image_names = [row[0] for row in result]
-
-        return ImageNamesResult(image_names=image_names, starred_count=starred_count, total_count=len(image_names))

invokeai/app/services/images/images_base.py

@@ -6,7 +6,6 @@ from PIL.Image import Image as PILImageType
 from invokeai.app.invocations.fields import MetadataField
 from invokeai.app.services.image_records.image_records_common import (
     ImageCategory,
-    ImageNamesResult,
     ImageRecord,
     ImageRecordChanges,
     ResourceOrigin,
@@ -126,7 +125,7 @@ class ImageServiceABC(ABC):
         board_id: Optional[str] = None,
         search_term: Optional[str] = None,
     ) -> OffsetPaginatedResults[ImageDTO]:
-        """Gets a paginated list of image DTOs with starred images first when starred_first=True."""
+        """Gets a paginated list of image DTOs."""
         pass
 
     @abstractmethod
@@ -148,17 +147,3 @@ class ImageServiceABC(ABC):
     def delete_images_on_board(self, board_id: str):
         """Deletes all images on a board."""
         pass
-
-    @abstractmethod
-    def get_image_names(
-        self,
-        starred_first: bool = True,
-        order_dir: SQLiteDirection = SQLiteDirection.Descending,
-        image_origin: Optional[ResourceOrigin] = None,
-        categories: Optional[list[ImageCategory]] = None,
-        is_intermediate: Optional[bool] = None,
-        board_id: Optional[str] = None,
-        search_term: Optional[str] = None,
-    ) -> ImageNamesResult:
-        """Gets ordered list of image names with metadata for optimistic updates."""
-        pass

invokeai/app/services/images/images_common.py

@@ -1,6 +1,6 @@
 from typing import Optional
 
-from pydantic import BaseModel, Field
+from pydantic import Field
 
 from invokeai.app.services.image_records.image_records_common import ImageRecord
 from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
@@ -39,27 +39,3 @@ def image_record_to_dto(
         thumbnail_url=thumbnail_url,
         board_id=board_id,
     )
-
-
-class ResultWithAffectedBoards(BaseModel):
-    affected_boards: list[str] = Field(description="The ids of boards affected by the delete operation")
-
-
-class DeleteImagesResult(ResultWithAffectedBoards):
-    deleted_images: list[str] = Field(description="The names of the images that were deleted")
-
-
-class StarredImagesResult(ResultWithAffectedBoards):
-    starred_images: list[str] = Field(description="The names of the images that were starred")
-
-
-class UnstarredImagesResult(ResultWithAffectedBoards):
-    unstarred_images: list[str] = Field(description="The names of the images that were unstarred")
-
-
-class AddImagesToBoardResult(ResultWithAffectedBoards):
-    added_images: list[str] = Field(description="The image names that were added to the board")
-
-
-class RemoveImagesFromBoardResult(ResultWithAffectedBoards):
-    removed_images: list[str] = Field(description="The image names that were removed from their board")

invokeai/app/services/images/images_default.py

@@ -10,7 +10,6 @@ from invokeai.app.services.image_files.image_files_common import (
 )
 from invokeai.app.services.image_records.image_records_common import (
     ImageCategory,
-    ImageNamesResult,
     ImageRecord,
     ImageRecordChanges,
     ImageRecordDeleteException,
@@ -79,7 +78,7 @@ class ImageService(ImageServiceABC):
                         board_id=board_id, image_name=image_name
                     )
                 except Exception as e:
-                    self.__invoker.services.logger.warning(f"Failed to add image to board {board_id}: {str(e)}")
+                    self.__invoker.services.logger.warn(f"Failed to add image to board {board_id}: {str(e)}")
             self.__invoker.services.image_files.save(
                 image_name=image_name, image=image, metadata=metadata, workflow=workflow, graph=graph
             )
@@ -310,27 +309,3 @@ class ImageService(ImageServiceABC):
         except Exception as e:
             self.__invoker.services.logger.error("Problem getting intermediates count")
             raise e
-
-    def get_image_names(
-        self,
-        starred_first: bool = True,
-        order_dir: SQLiteDirection = SQLiteDirection.Descending,
-        image_origin: Optional[ResourceOrigin] = None,
-        categories: Optional[list[ImageCategory]] = None,
-        is_intermediate: Optional[bool] = None,
-        board_id: Optional[str] = None,
-        search_term: Optional[str] = None,
-    ) -> ImageNamesResult:
-        try:
-            return self.__invoker.services.image_records.get_image_names(
-                starred_first=starred_first,
-                order_dir=order_dir,
-                image_origin=image_origin,
-                categories=categories,
-                is_intermediate=is_intermediate,
-                board_id=board_id,
-                search_term=search_term,
-            )
-        except Exception as e:
-            self.__invoker.services.logger.error("Problem getting image names")
-            raise e

invokeai/app/services/model_install/model_install_default.py

@@ -148,7 +148,7 @@ class ModelInstallService(ModelInstallServiceBase):
     def _clear_pending_jobs(self) -> None:
         for job in self.list_jobs():
             if not job.in_terminal_state:
-                self._logger.warning(f"Cancelling job {job.id}")
+                self._logger.warning("Cancelling job {job.id}")
                 self.cancel_job(job)
         while True:
             try:

invokeai/app/services/session_processor/session_processor_default.py

@@ -1,4 +1,3 @@
-import gc
 import traceback
 from contextlib import suppress
 from threading import BoundedSemaphore, Thread
@@ -440,12 +439,6 @@ class DefaultSessionProcessor(SessionProcessorBase):
                         poll_now_event.wait(self._polling_interval)
                         continue
 
-                    # GC-ing here can reduce peak memory usage of the invoke process by freeing allocated memory blocks.
-                    # Most queue items take seconds to execute, so the relative cost of a GC is very small.
-                    # Python will never cede allocated memory back to the OS, so anything we can do to reduce the peak
-                    # allocation is well worth it.
-                    gc.collect()
-
                     self._invoker.services.logger.info(
                         f"Executing queue item {self._queue_item.item_id}, session {self._queue_item.session_id}"
                     )

invokeai/app/services/session_queue/session_queue_base.py

@@ -10,8 +10,6 @@ from invokeai.app.services.session_queue.session_queue_common import (
     CancelByDestinationResult,
     CancelByQueueIDResult,
     ClearResult,
-    DeleteAllExceptCurrentResult,
-    DeleteByDestinationResult,
     EnqueueBatchResult,
     IsEmptyResult,
     IsFullResult,
@@ -19,6 +17,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
+    SessionQueueItemDTO,
     SessionQueueStatus,
 )
 from invokeai.app.services.shared.graph import GraphExecutionState
@@ -93,11 +92,6 @@ class SessionQueueBase(ABC):
         """Cancels a session queue item"""
         pass
 
-    @abstractmethod
-    def delete_queue_item(self, item_id: int) -> None:
-        """Deletes a session queue item"""
-        pass
-
     @abstractmethod
     def fail_queue_item(
         self, item_id: int, error_type: str, error_message: str, error_traceback: str
@@ -115,11 +109,6 @@ class SessionQueueBase(ABC):
         """Cancels all queue items with the given batch destination"""
         pass
 
-    @abstractmethod
-    def delete_by_destination(self, queue_id: str, destination: str) -> DeleteByDestinationResult:
-        """Deletes all queue items with the given batch destination"""
-        pass
-
     @abstractmethod
     def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult:
         """Cancels all queue items with matching queue ID"""
@@ -130,11 +119,6 @@ class SessionQueueBase(ABC):
         """Cancels all queue items except in-progress items"""
         pass
 
-    @abstractmethod
-    def delete_all_except_current(self, queue_id: str) -> DeleteAllExceptCurrentResult:
-        """Deletes all queue items except in-progress items"""
-        pass
-
     @abstractmethod
     def list_queue_items(
         self,
@@ -143,20 +127,10 @@ class SessionQueueBase(ABC):
         priority: int,
         cursor: Optional[int] = None,
         status: Optional[QUEUE_ITEM_STATUS] = None,
-        destination: Optional[str] = None,
-    ) -> CursorPaginatedResults[SessionQueueItem]:
+    ) -> CursorPaginatedResults[SessionQueueItemDTO]:
         """Gets a page of session queue items"""
         pass
 
-    @abstractmethod
-    def list_all_queue_items(
-        self,
-        queue_id: str,
-        destination: Optional[str] = None,
-    ) -> list[SessionQueueItem]:
-        """Gets all queue items that match the given parameters"""
-        pass
-
     @abstractmethod
     def get_queue_item(self, item_id: int) -> SessionQueueItem:
         """Gets a session queue item by ID"""

invokeai/app/services/session_queue/session_queue_common.py

@@ -208,7 +208,7 @@ class FieldIdentifier(BaseModel):
     user_label: str | None = Field(description="The user label of the field, if any")
 
 
-class SessionQueueItem(BaseModel):
+class SessionQueueItemWithoutGraph(BaseModel):
     """Session queue item without the full graph. Used for serialization."""
 
     item_id: int = Field(description="The identifier of the session queue item")
@@ -252,7 +252,42 @@ class SessionQueueItem(BaseModel):
         default=None,
         description="The ID of the published workflow associated with this queue item",
     )
+    api_input_fields: Optional[list[FieldIdentifier]] = Field(
+        default=None, description="The fields that were used as input to the API"
+    )
+    api_output_fields: Optional[list[FieldIdentifier]] = Field(
+        default=None, description="The nodes that were used as output from the API"
+    )
     credits: Optional[float] = Field(default=None, description="The total credits used for this queue item")
+
+    @classmethod
+    def queue_item_dto_from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
+        # must parse these manually
+        queue_item_dict["field_values"] = get_field_values(queue_item_dict)
+        return SessionQueueItemDTO(**queue_item_dict)
+
+    model_config = ConfigDict(
+        json_schema_extra={
+            "required": [
+                "item_id",
+                "status",
+                "batch_id",
+                "queue_id",
+                "session_id",
+                "priority",
+                "session_id",
+                "created_at",
+                "updated_at",
+            ]
+        }
+    )
+
+
+class SessionQueueItemDTO(SessionQueueItemWithoutGraph):
+    pass
+
+
+class SessionQueueItem(SessionQueueItemWithoutGraph):
     session: GraphExecutionState = Field(description="The fully-populated session to be executed")
     workflow: Optional[WorkflowWithoutID] = Field(
         default=None, description="The workflow associated with this queue item"
@@ -363,18 +398,6 @@ class CancelByDestinationResult(CancelByBatchIDsResult):
     pass
 
 
-class DeleteByDestinationResult(BaseModel):
-    """Result of deleting by a destination"""
-
-    deleted: int = Field(..., description="Number of queue items deleted")
-
-
-class DeleteAllExceptCurrentResult(DeleteByDestinationResult):
-    """Result of deleting all except current"""
-
-    pass
-
-
 class CancelByQueueIDResult(CancelByBatchIDsResult):
     """Result of canceling by queue id"""
 

invokeai/app/services/session_queue/session_queue_sqlite.py

@@ -17,8 +17,6 @@ from invokeai.app.services.session_queue.session_queue_common import (
     CancelByDestinationResult,
     CancelByQueueIDResult,
     ClearResult,
-    DeleteAllExceptCurrentResult,
-    DeleteByDestinationResult,
     EnqueueBatchResult,
     IsEmptyResult,
     IsFullResult,
@@ -26,6 +24,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
     RetryItemsResult,
     SessionQueueCountsByDestination,
     SessionQueueItem,
+    SessionQueueItemDTO,
     SessionQueueItemNotFoundError,
     SessionQueueStatus,
     ValueToInsertTuple,
@@ -47,6 +46,10 @@ class SqliteSessionQueue(SessionQueueBase):
             clear_result = self.clear(DEFAULT_QUEUE_ID)
             if clear_result.deleted > 0:
                 self.__invoker.services.logger.info(f"Cleared all {clear_result.deleted} queue items")
+        else:
+            prune_result = self.prune(DEFAULT_QUEUE_ID)
+            if prune_result.deleted > 0:
+                self.__invoker.services.logger.info(f"Pruned {prune_result.deleted} finished queue items")
 
     def __init__(self, db: SqliteDatabase) -> None:
         super().__init__()
@@ -101,7 +104,11 @@ class SqliteSessionQueue(SessionQueueBase):
         return cast(Union[int, None], cursor.fetchone()[0]) or 0
 
     async def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
+        return await asyncio.to_thread(self._enqueue_batch, queue_id, batch, prepend)
+
+    def _enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
         try:
+            cursor = self._conn.cursor()
             # TODO: how does this work in a multi-user scenario?
             current_queue_size = self._get_current_queue_size(queue_id)
             max_queue_size = self.__invoker.services.configuration.max_queue_size
@@ -111,12 +118,8 @@ class SqliteSessionQueue(SessionQueueBase):
             if prepend:
                 priority = self._get_highest_priority(queue_id) + 1
 
-            requested_count = await asyncio.to_thread(
-                calc_session_count,
-                batch=batch,
-            )
-            values_to_insert = await asyncio.to_thread(
-                prepare_values_to_insert,
+            requested_count = calc_session_count(batch)
+            values_to_insert = prepare_values_to_insert(
                 queue_id=queue_id,
                 batch=batch,
                 priority=priority,
@@ -124,16 +127,19 @@ class SqliteSessionQueue(SessionQueueBase):
             )
             enqueued_count = len(values_to_insert)
 
-            with self._conn:
-                cursor = self._conn.cursor()
-                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,
-                )
+            if requested_count > enqueued_count:
+                values_to_insert = values_to_insert[:max_new_queue_items]
+
+            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
         enqueue_result = EnqueueBatchResult(
             queue_id=queue_id,
@@ -214,19 +220,6 @@ class SqliteSessionQueue(SessionQueueBase):
     ) -> SessionQueueItem:
         try:
             cursor = self._conn.cursor()
-            cursor.execute(
-                """--sql
-                SELECT status FROM session_queue WHERE item_id = ?
-                """,
-                (item_id,),
-            )
-            row = cursor.fetchone()
-            if row is None:
-                raise SessionQueueItemNotFoundError(f"No queue item with id {item_id}")
-            current_status = row[0]
-            # Only update if not already finished (completed, failed or canceled)
-            if current_status in ("completed", "failed", "canceled"):
-                return self.get_queue_item(item_id)
             cursor.execute(
                 """--sql
                 UPDATE session_queue
@@ -338,27 +331,6 @@ class SqliteSessionQueue(SessionQueueBase):
         queue_item = self._set_queue_item_status(item_id=item_id, status="canceled")
         return queue_item
 
-    def delete_queue_item(self, item_id: int) -> None:
-        """Deletes a session queue item"""
-        try:
-            self.cancel_queue_item(item_id)
-        except SessionQueueItemNotFoundError:
-            pass
-        try:
-            cursor = self._conn.cursor()
-            cursor.execute(
-                """--sql
-                DELETE
-                FROM session_queue
-                WHERE item_id = ?
-                """,
-                (item_id,),
-            )
-            self._conn.commit()
-        except Exception:
-            self._conn.rollback()
-            raise
-
     def complete_queue_item(self, item_id: int) -> SessionQueueItem:
         queue_item = self._set_queue_item_status(item_id=item_id, status="completed")
         return queue_item
@@ -456,71 +428,6 @@ class SqliteSessionQueue(SessionQueueBase):
             raise
         return CancelByDestinationResult(canceled=count)
 
-    def delete_by_destination(self, queue_id: str, destination: str) -> DeleteByDestinationResult:
-        try:
-            cursor = self._conn.cursor()
-            current_queue_item = self.get_current(queue_id)
-            if current_queue_item is not None and current_queue_item.destination == destination:
-                self.cancel_queue_item(current_queue_item.item_id)
-            params = (queue_id, destination)
-            cursor.execute(
-                """--sql
-                SELECT COUNT(*)
-                FROM session_queue
-                WHERE
-                  queue_id = ?
-                  AND destination = ?;
-                """,
-                params,
-            )
-            count = cursor.fetchone()[0]
-            cursor.execute(
-                """--sql
-                DELETE
-                FROM session_queue
-                WHERE
-                  queue_id = ?
-                  AND destination = ?;
-                """,
-                params,
-            )
-            self._conn.commit()
-        except Exception:
-            self._conn.rollback()
-            raise
-        return DeleteByDestinationResult(deleted=count)
-
-    def delete_all_except_current(self, queue_id: str) -> DeleteAllExceptCurrentResult:
-        try:
-            cursor = self._conn.cursor()
-            where = """--sql
-                WHERE
-                  queue_id == ?
-                  AND status == 'pending'
-                """
-            cursor.execute(
-                f"""--sql
-                SELECT COUNT(*)
-                FROM session_queue
-                {where};
-                """,
-                (queue_id,),
-            )
-            count = cursor.fetchone()[0]
-            cursor.execute(
-                f"""--sql
-                DELETE
-                FROM session_queue
-                {where};
-                """,
-                (queue_id,),
-            )
-            self._conn.commit()
-        except Exception:
-            self._conn.rollback()
-            raise
-        return DeleteAllExceptCurrentResult(deleted=count)
-
     def cancel_by_queue_id(self, queue_id: str) -> CancelByQueueIDResult:
         try:
             cursor = self._conn.cursor()
@@ -636,12 +543,26 @@ class SqliteSessionQueue(SessionQueueBase):
         priority: int,
         cursor: Optional[int] = None,
         status: Optional[QUEUE_ITEM_STATUS] = None,
-        destination: Optional[str] = None,
-    ) -> CursorPaginatedResults[SessionQueueItem]:
+    ) -> CursorPaginatedResults[SessionQueueItemDTO]:
         cursor_ = self._conn.cursor()
         item_id = cursor
         query = """--sql
-            SELECT *
+            SELECT item_id,
+                status,
+                priority,
+                field_values,
+                error_type,
+                error_message,
+                error_traceback,
+                created_at,
+                updated_at,
+                completed_at,
+                started_at,
+                session_id,
+                batch_id,
+                queue_id,
+                origin,
+                destination
             FROM session_queue
             WHERE queue_id = ?
         """
@@ -653,12 +574,6 @@ class SqliteSessionQueue(SessionQueueBase):
                 """
             params.append(status)
 
-        if destination is not None:
-            query += """---sql
-                AND destination = ?
-            """
-            params.append(destination)
-
         if item_id is not None:
             query += """--sql
                 AND (priority < ?) OR (priority = ? AND item_id > ?)
@@ -674,7 +589,7 @@ class SqliteSessionQueue(SessionQueueBase):
         params.append(limit + 1)
         cursor_.execute(query, params)
         results = cast(list[sqlite3.Row], cursor_.fetchall())
-        items = [SessionQueueItem.queue_item_from_dict(dict(result)) for result in results]
+        items = [SessionQueueItemDTO.queue_item_dto_from_dict(dict(result)) for result in results]
         has_more = False
         if len(items) > limit:
             # remove the extra item
@@ -682,37 +597,6 @@ class SqliteSessionQueue(SessionQueueBase):
             has_more = True
         return CursorPaginatedResults(items=items, limit=limit, has_more=has_more)
 
-    def list_all_queue_items(
-        self,
-        queue_id: str,
-        destination: Optional[str] = None,
-    ) -> list[SessionQueueItem]:
-        """Gets all queue items that match the given parameters"""
-        cursor_ = self._conn.cursor()
-        query = """--sql
-            SELECT *
-            FROM session_queue
-            WHERE queue_id = ?
-        """
-        params: list[Union[str, int]] = [queue_id]
-
-        if destination is not None:
-            query += """---sql
-                AND destination = ?
-            """
-            params.append(destination)
-
-        query += """--sql
-            ORDER BY
-                priority DESC,
-                item_id ASC
-            ;
-            """
-        cursor_.execute(query, params)
-        results = cast(list[sqlite3.Row], cursor_.fetchall())
-        items = [SessionQueueItem.queue_item_from_dict(dict(result)) for result in results]
-        return items
-
     def get_queue_status(self, queue_id: str) -> SessionQueueStatus:
         cursor = self._conn.cursor()
         cursor.execute(

invokeai/app/services/shared/graph.py

@@ -7,7 +7,6 @@ from typing import Any, Optional, TypeVar, Union, get_args, get_origin, get_type
 import networkx as nx
 from pydantic import (
     BaseModel,
-    ConfigDict,
     GetCoreSchemaHandler,
     GetJsonSchemaHandler,
     ValidationError,
@@ -788,22 +787,6 @@ class GraphExecutionState(BaseModel):
         default_factory=dict,
     )
 
-    model_config = ConfigDict(
-        json_schema_extra={
-            "required": [
-                "id",
-                "graph",
-                "execution_graph",
-                "executed",
-                "executed_history",
-                "results",
-                "errors",
-                "prepared_source_mapping",
-                "source_prepared_mapping",
-            ]
-        }
-    )
-
     @field_validator("graph")
     def graph_is_valid(cls, v: Graph):
         """Validates that the graph is valid"""

invokeai/backend/ip_adapter/README.md

@@ -42,5 +42,4 @@ IP-Adapters:
 - [InvokeAI/ip_adapter_plus_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_sd15)
 - [InvokeAI/ip_adapter_plus_face_sd15](https://huggingface.co/InvokeAI/ip_adapter_plus_face_sd15)
 - [InvokeAI/ip_adapter_sdxl](https://huggingface.co/InvokeAI/ip_adapter_sdxl)
-- [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)
-- [InvokeAI/ip-adapter-plus_sdxl_vit-h](https://huggingface.co/InvokeAI/ip-adapter-plus_sdxl_vit-h)
+- [InvokeAI/ip_adapter_sdxl_vit_h](https://huggingface.co/InvokeAI/ip_adapter_sdxl_vit_h)

invokeai/backend/model_manager/config.py

@@ -37,7 +37,6 @@ from invokeai.app.util.misc import uuid_string
 from invokeai.backend.model_hash.hash_validator import validate_hash
 from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS
 from invokeai.backend.model_manager.model_on_disk import ModelOnDisk
-from invokeai.backend.model_manager.omi import flux_dev_1_lora, stable_diffusion_xl_1_lora
 from invokeai.backend.model_manager.taxonomy import (
     AnyVariant,
     BaseModelType,
@@ -297,7 +296,7 @@ class LoRAConfigBase(ABC, BaseModel):
         from invokeai.backend.patches.lora_conversions.formats import flux_format_from_state_dict
 
         sd = mod.load_state_dict(mod.path)
-        value = flux_format_from_state_dict(sd, mod.metadata())
+        value = flux_format_from_state_dict(sd)
         mod.cache[key] = value
         return value
 
@@ -335,36 +334,6 @@ class T5EncoderBnbQuantizedLlmInt8bConfig(T5EncoderConfigBase, LegacyProbeMixin,
     format: Literal[ModelFormat.BnbQuantizedLlmInt8b] = ModelFormat.BnbQuantizedLlmInt8b
 
 
-class LoRAOmiConfig(LoRAConfigBase, ModelConfigBase):
-    format: Literal[ModelFormat.OMI] = ModelFormat.OMI
-
-    @classmethod
-    def matches(cls, mod: ModelOnDisk) -> bool:
-        if mod.path.is_dir():
-            return False
-
-        metadata = mod.metadata()
-        return (
-            metadata.get("modelspec.sai_model_spec")
-            and metadata.get("ot_branch") == "omi_format"
-            and metadata["modelspec.architecture"].split("/")[1].lower() == "lora"
-        )
-
-    @classmethod
-    def parse(cls, mod: ModelOnDisk) -> dict[str, Any]:
-        metadata = mod.metadata()
-        architecture = metadata["modelspec.architecture"]
-
-        if architecture == stable_diffusion_xl_1_lora:
-            base = BaseModelType.StableDiffusionXL
-        elif architecture == flux_dev_1_lora:
-            base = BaseModelType.Flux
-        else:
-            raise InvalidModelConfigException(f"Unrecognised/unsupported architecture for OMI LoRA: {architecture}")
-
-        return {"base": base}
-
-
 class LoRALyCORISConfig(LoRAConfigBase, ModelConfigBase):
     """Model config for LoRA/Lycoris models."""
 
@@ -381,7 +350,7 @@ class LoRALyCORISConfig(LoRAConfigBase, ModelConfigBase):
 
         state_dict = mod.load_state_dict()
         for key in state_dict.keys():
-            if isinstance(key, int):
+            if type(key) is int:
                 continue
 
             if key.startswith(("lora_te_", "lora_unet_", "lora_te1_", "lora_te2_", "lora_transformer_")):
@@ -699,7 +668,6 @@ AnyModelConfig = Annotated[
         Annotated[ControlNetDiffusersConfig, ControlNetDiffusersConfig.get_tag()],
         Annotated[ControlNetCheckpointConfig, ControlNetCheckpointConfig.get_tag()],
         Annotated[LoRALyCORISConfig, LoRALyCORISConfig.get_tag()],
-        Annotated[LoRAOmiConfig, LoRAOmiConfig.get_tag()],
         Annotated[ControlLoRALyCORISConfig, ControlLoRALyCORISConfig.get_tag()],
         Annotated[ControlLoRADiffusersConfig, ControlLoRADiffusersConfig.get_tag()],
         Annotated[LoRADiffusersConfig, LoRADiffusersConfig.get_tag()],

invokeai/backend/model_manager/load/model_loaders/lora.py

@@ -13,7 +13,6 @@ from invokeai.backend.model_manager.config import AnyModelConfig
 from invokeai.backend.model_manager.load.load_default import ModelLoader
 from invokeai.backend.model_manager.load.model_cache.model_cache import ModelCache
 from invokeai.backend.model_manager.load.model_loader_registry import ModelLoaderRegistry
-from invokeai.backend.model_manager.omi.omi import convert_from_omi
 from invokeai.backend.model_manager.taxonomy import (
     AnyModel,
     BaseModelType,
@@ -21,10 +20,6 @@ from invokeai.backend.model_manager.taxonomy import (
     ModelType,
     SubModelType,
 )
-from invokeai.backend.patches.lora_conversions.flux_aitoolkit_lora_conversion_utils import (
-    is_state_dict_likely_in_flux_aitoolkit_format,
-    lora_model_from_flux_aitoolkit_state_dict,
-)
 from invokeai.backend.patches.lora_conversions.flux_control_lora_utils import (
     is_state_dict_likely_flux_control,
     lora_model_from_flux_control_state_dict,
@@ -44,8 +39,6 @@ from invokeai.backend.patches.lora_conversions.sd_lora_conversion_utils import l
 from invokeai.backend.patches.lora_conversions.sdxl_lora_conversion_utils import convert_sdxl_keys_to_diffusers_format
 
 
-@ModelLoaderRegistry.register(base=BaseModelType.Flux, type=ModelType.LoRA, format=ModelFormat.OMI)
-@ModelLoaderRegistry.register(base=BaseModelType.StableDiffusionXL, type=ModelType.LoRA, format=ModelFormat.OMI)
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.LoRA, format=ModelFormat.Diffusers)
 @ModelLoaderRegistry.register(base=BaseModelType.Any, type=ModelType.LoRA, format=ModelFormat.LyCORIS)
 @ModelLoaderRegistry.register(base=BaseModelType.Flux, type=ModelType.ControlLoRa, format=ModelFormat.LyCORIS)
@@ -80,23 +73,12 @@ class LoRALoader(ModelLoader):
         else:
             state_dict = torch.load(model_path, map_location="cpu")
 
-        # Strip 'bundle_emb' keys - these are unused and currently cause downstream errors.
-        # To revisit later to determine if they're needed/useful.
-        state_dict = {k: v for k, v in state_dict.items() if not k.startswith("bundle_emb")}
-
-        # At the time of writing, we support the OMI standard for base models Flux and SDXL
-        if config.format == ModelFormat.OMI and self._model_base in [
-            BaseModelType.StableDiffusionXL,
-            BaseModelType.Flux,
-        ]:
-            state_dict = convert_from_omi(state_dict, config.base)  # type: ignore
-
         # Apply state_dict key conversions, if necessary.
         if self._model_base == BaseModelType.StableDiffusionXL:
             state_dict = convert_sdxl_keys_to_diffusers_format(state_dict)
             model = lora_model_from_sd_state_dict(state_dict=state_dict)
         elif self._model_base == BaseModelType.Flux:
-            if config.format in [ModelFormat.Diffusers, ModelFormat.OMI]:
+            if config.format == ModelFormat.Diffusers:
                 # HACK(ryand): We set alpha=None for diffusers PEFT format models. These models are typically
                 # distributed as a single file without the associated metadata containing the alpha value. We chose
                 # alpha=None, because this is treated as alpha=rank internally in `LoRALayerBase.scale()`. alpha=rank
@@ -110,10 +92,8 @@ class LoRALoader(ModelLoader):
                     model = lora_model_from_flux_onetrainer_state_dict(state_dict=state_dict)
                 elif is_state_dict_likely_flux_control(state_dict=state_dict):
                     model = lora_model_from_flux_control_state_dict(state_dict=state_dict)
-                elif is_state_dict_likely_in_flux_aitoolkit_format(state_dict=state_dict):
-                    model = lora_model_from_flux_aitoolkit_state_dict(state_dict=state_dict)
                 else:
-                    raise ValueError("LoRA model is in unsupported FLUX format")
+                    raise ValueError(f"LoRA model is in unsupported FLUX format: {config.format}")
             else:
                 raise ValueError(f"LoRA model is in unsupported FLUX format: {config.format}")
         elif self._model_base in [BaseModelType.StableDiffusion1, BaseModelType.StableDiffusion2]:

invokeai/backend/model_manager/omi/__init__.py

@@ -1,7 +0,0 @@
-from invokeai.backend.model_manager.omi.omi import convert_from_omi
-from invokeai.backend.model_manager.omi.vendor.model_spec.architecture import (
-    flux_dev_1_lora,
-    stable_diffusion_xl_1_lora,
-)
-
-__all__ = ["flux_dev_1_lora", "stable_diffusion_xl_1_lora", "convert_from_omi"]

invokeai/backend/model_manager/omi/omi.py

@@ -1,21 +0,0 @@
-from invokeai.backend.model_manager.model_on_disk import StateDict
-from invokeai.backend.model_manager.omi.vendor.convert.lora import (
-    convert_flux_lora as omi_flux,
-)
-from invokeai.backend.model_manager.omi.vendor.convert.lora import (
-    convert_lora_util as lora_util,
-)
-from invokeai.backend.model_manager.omi.vendor.convert.lora import (
-    convert_sdxl_lora as omi_sdxl,
-)
-from invokeai.backend.model_manager.taxonomy import BaseModelType
-
-
-def convert_from_omi(weights_sd: StateDict, base: BaseModelType):
-    keyset = {
-        BaseModelType.Flux: omi_flux.convert_flux_lora_key_sets(),
-        BaseModelType.StableDiffusionXL: omi_sdxl.convert_sdxl_lora_key_sets(),
-    }[base]
-    source = "omi"
-    target = "legacy_diffusers"
-    return lora_util.__convert(weights_sd, keyset, source, target)  # type: ignore

invokeai/backend/model_manager/omi/vendor/convert/lora/convert_clip.py

@@ -1,20 +0,0 @@
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
-    LoraConversionKeySet,
-    map_prefix_range,
-)
-
-
-def map_clip(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("text_projection", "text_projection", parent=key_prefix)]
-
-    for k in map_prefix_range("text_model.encoder.layers", "text_model.encoder.layers", parent=key_prefix):
-        keys += [LoraConversionKeySet("mlp.fc1", "mlp.fc1", parent=k)]
-        keys += [LoraConversionKeySet("mlp.fc2", "mlp.fc2", parent=k)]
-        keys += [LoraConversionKeySet("self_attn.k_proj", "self_attn.k_proj", parent=k)]
-        keys += [LoraConversionKeySet("self_attn.out_proj", "self_attn.out_proj", parent=k)]
-        keys += [LoraConversionKeySet("self_attn.q_proj", "self_attn.q_proj", parent=k)]
-        keys += [LoraConversionKeySet("self_attn.v_proj", "self_attn.v_proj", parent=k)]
-
-    return keys

invokeai/backend/model_manager/omi/vendor/convert/lora/convert_flux_lora.py

@@ -1,84 +0,0 @@
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_clip import map_clip
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
-    LoraConversionKeySet,
-    map_prefix_range,
-)
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_t5 import map_t5
-
-
-def __map_double_transformer_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("img_attn.qkv.0", "attn.to_q", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_attn.qkv.1", "attn.to_k", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_attn.qkv.2", "attn.to_v", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("txt_attn.qkv.0", "attn.add_q_proj", parent=key_prefix)]
-    keys += [LoraConversionKeySet("txt_attn.qkv.1", "attn.add_k_proj", parent=key_prefix)]
-    keys += [LoraConversionKeySet("txt_attn.qkv.2", "attn.add_v_proj", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("img_attn.proj", "attn.to_out.0", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_mlp.0", "ff.net.0.proj", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_mlp.2", "ff.net.2", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_mod.lin", "norm1.linear", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("txt_attn.proj", "attn.to_add_out", parent=key_prefix)]
-    keys += [LoraConversionKeySet("txt_mlp.0", "ff_context.net.0.proj", parent=key_prefix)]
-    keys += [LoraConversionKeySet("txt_mlp.2", "ff_context.net.2", parent=key_prefix)]
-    keys += [LoraConversionKeySet("txt_mod.lin", "norm1_context.linear", parent=key_prefix)]
-
-    return keys
-
-
-def __map_single_transformer_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("linear1.0", "attn.to_q", parent=key_prefix)]
-    keys += [LoraConversionKeySet("linear1.1", "attn.to_k", parent=key_prefix)]
-    keys += [LoraConversionKeySet("linear1.2", "attn.to_v", parent=key_prefix)]
-    keys += [LoraConversionKeySet("linear1.3", "proj_mlp", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("linear2", "proj_out", parent=key_prefix)]
-    keys += [LoraConversionKeySet("modulation.lin", "norm.linear", parent=key_prefix)]
-
-    return keys
-
-
-def __map_transformer(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("txt_in", "context_embedder", parent=key_prefix)]
-    keys += [
-        LoraConversionKeySet("final_layer.adaLN_modulation.1", "norm_out.linear", parent=key_prefix, swap_chunks=True)
-    ]
-    keys += [LoraConversionKeySet("final_layer.linear", "proj_out", parent=key_prefix)]
-    keys += [
-        LoraConversionKeySet("guidance_in.in_layer", "time_text_embed.guidance_embedder.linear_1", parent=key_prefix)
-    ]
-    keys += [
-        LoraConversionKeySet("guidance_in.out_layer", "time_text_embed.guidance_embedder.linear_2", parent=key_prefix)
-    ]
-    keys += [LoraConversionKeySet("vector_in.in_layer", "time_text_embed.text_embedder.linear_1", parent=key_prefix)]
-    keys += [LoraConversionKeySet("vector_in.out_layer", "time_text_embed.text_embedder.linear_2", parent=key_prefix)]
-    keys += [LoraConversionKeySet("time_in.in_layer", "time_text_embed.timestep_embedder.linear_1", parent=key_prefix)]
-    keys += [LoraConversionKeySet("time_in.out_layer", "time_text_embed.timestep_embedder.linear_2", parent=key_prefix)]
-    keys += [LoraConversionKeySet("img_in.proj", "x_embedder", parent=key_prefix)]
-
-    for k in map_prefix_range("double_blocks", "transformer_blocks", parent=key_prefix):
-        keys += __map_double_transformer_block(k)
-
-    for k in map_prefix_range("single_blocks", "single_transformer_blocks", parent=key_prefix):
-        keys += __map_single_transformer_block(k)
-
-    return keys
-
-
-def convert_flux_lora_key_sets() -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("bundle_emb", "bundle_emb")]
-    keys += __map_transformer(LoraConversionKeySet("transformer", "lora_transformer"))
-    keys += map_clip(LoraConversionKeySet("clip_l", "lora_te1"))
-    keys += map_t5(LoraConversionKeySet("t5", "lora_te2"))
-
-    return keys

invokeai/backend/model_manager/omi/vendor/convert/lora/convert_lora_util.py

@@ -1,217 +0,0 @@
-import torch
-from torch import Tensor
-from typing_extensions import Self
-
-
-class LoraConversionKeySet:
-    def __init__(
-        self,
-        omi_prefix: str,
-        diffusers_prefix: str,
-        legacy_diffusers_prefix: str | None = None,
-        parent: Self | None = None,
-        swap_chunks: bool = False,
-        filter_is_last: bool | None = None,
-        next_omi_prefix: str | None = None,
-        next_diffusers_prefix: str | None = None,
-    ):
-        if parent is not None:
-            self.omi_prefix = combine(parent.omi_prefix, omi_prefix)
-            self.diffusers_prefix = combine(parent.diffusers_prefix, diffusers_prefix)
-        else:
-            self.omi_prefix = omi_prefix
-            self.diffusers_prefix = diffusers_prefix
-
-        if legacy_diffusers_prefix is None:
-            self.legacy_diffusers_prefix = self.diffusers_prefix.replace(".", "_")
-        elif parent is not None:
-            self.legacy_diffusers_prefix = combine(parent.legacy_diffusers_prefix, legacy_diffusers_prefix).replace(
-                ".", "_"
-            )
-        else:
-            self.legacy_diffusers_prefix = legacy_diffusers_prefix
-
-        self.parent = parent
-        self.swap_chunks = swap_chunks
-        self.filter_is_last = filter_is_last
-        self.prefix = parent
-
-        if next_omi_prefix is None and parent is not None:
-            self.next_omi_prefix = parent.next_omi_prefix
-            self.next_diffusers_prefix = parent.next_diffusers_prefix
-            self.next_legacy_diffusers_prefix = parent.next_legacy_diffusers_prefix
-        elif next_omi_prefix is not None and parent is not None:
-            self.next_omi_prefix = combine(parent.omi_prefix, next_omi_prefix)
-            self.next_diffusers_prefix = combine(parent.diffusers_prefix, next_diffusers_prefix)
-            self.next_legacy_diffusers_prefix = combine(parent.legacy_diffusers_prefix, next_diffusers_prefix).replace(
-                ".", "_"
-            )
-        elif next_omi_prefix is not None and parent is None:
-            self.next_omi_prefix = next_omi_prefix
-            self.next_diffusers_prefix = next_diffusers_prefix
-            self.next_legacy_diffusers_prefix = next_diffusers_prefix.replace(".", "_")
-        else:
-            self.next_omi_prefix = None
-            self.next_diffusers_prefix = None
-            self.next_legacy_diffusers_prefix = None
-
-    def __get_omi(self, in_prefix: str, key: str) -> str:
-        return self.omi_prefix + key.removeprefix(in_prefix)
-
-    def __get_diffusers(self, in_prefix: str, key: str) -> str:
-        return self.diffusers_prefix + key.removeprefix(in_prefix)
-
-    def __get_legacy_diffusers(self, in_prefix: str, key: str) -> str:
-        key = self.legacy_diffusers_prefix + key.removeprefix(in_prefix)
-
-        suffix = key[key.rfind(".") :]
-        if suffix not in [".alpha", ".dora_scale"]:  # some keys only have a single . in the suffix
-            suffix = key[key.removesuffix(suffix).rfind(".") :]
-        key = key.removesuffix(suffix)
-
-        return key.replace(".", "_") + suffix
-
-    def get_key(self, in_prefix: str, key: str, target: str) -> str:
-        if target == "omi":
-            return self.__get_omi(in_prefix, key)
-        elif target == "diffusers":
-            return self.__get_diffusers(in_prefix, key)
-        elif target == "legacy_diffusers":
-            return self.__get_legacy_diffusers(in_prefix, key)
-        return key
-
-    def __str__(self) -> str:
-        return f"omi: {self.omi_prefix}, diffusers: {self.diffusers_prefix}, legacy: {self.legacy_diffusers_prefix}"
-
-
-def combine(left: str, right: str) -> str:
-    left = left.rstrip(".")
-    right = right.lstrip(".")
-    if left == "" or left is None:
-        return right
-    elif right == "" or right is None:
-        return left
-    else:
-        return left + "." + right
-
-
-def map_prefix_range(
-    omi_prefix: str,
-    diffusers_prefix: str,
-    parent: LoraConversionKeySet,
-) -> list[LoraConversionKeySet]:
-    # 100 should be a safe upper bound. increase if it's not enough in the future
-    return [
-        LoraConversionKeySet(
-            omi_prefix=f"{omi_prefix}.{i}",
-            diffusers_prefix=f"{diffusers_prefix}.{i}",
-            parent=parent,
-            next_omi_prefix=f"{omi_prefix}.{i + 1}",
-            next_diffusers_prefix=f"{diffusers_prefix}.{i + 1}",
-        )
-        for i in range(100)
-    ]
-
-
-def __convert(
-    state_dict: dict[str, Tensor],
-    key_sets: list[LoraConversionKeySet],
-    source: str,
-    target: str,
-) -> dict[str, Tensor]:
-    out_states = {}
-
-    if source == target:
-        return dict(state_dict)
-
-    # TODO: maybe replace with a non O(n^2) algorithm
-    for key, tensor in state_dict.items():
-        for key_set in key_sets:
-            in_prefix = ""
-
-            if source == "omi":
-                in_prefix = key_set.omi_prefix
-            elif source == "diffusers":
-                in_prefix = key_set.diffusers_prefix
-            elif source == "legacy_diffusers":
-                in_prefix = key_set.legacy_diffusers_prefix
-
-            if not key.startswith(in_prefix):
-                continue
-
-            if key_set.filter_is_last is not None:
-                next_prefix = None
-                if source == "omi":
-                    next_prefix = key_set.next_omi_prefix
-                elif source == "diffusers":
-                    next_prefix = key_set.next_diffusers_prefix
-                elif source == "legacy_diffusers":
-                    next_prefix = key_set.next_legacy_diffusers_prefix
-
-                is_last = not any(k.startswith(next_prefix) for k in state_dict)
-                if key_set.filter_is_last != is_last:
-                    continue
-
-            name = key_set.get_key(in_prefix, key, target)
-
-            can_swap_chunks = target == "omi" or source == "omi"
-            if key_set.swap_chunks and name.endswith(".lora_up.weight") and can_swap_chunks:
-                chunk_0, chunk_1 = tensor.chunk(2, dim=0)
-                tensor = torch.cat([chunk_1, chunk_0], dim=0)
-
-            out_states[name] = tensor
-
-            break  # only map the first matching key set
-
-    return out_states
-
-
-def __detect_source(
-    state_dict: dict[str, Tensor],
-    key_sets: list[LoraConversionKeySet],
-) -> str:
-    omi_count = 0
-    diffusers_count = 0
-    legacy_diffusers_count = 0
-
-    for key in state_dict:
-        for key_set in key_sets:
-            if key.startswith(key_set.omi_prefix):
-                omi_count += 1
-            if key.startswith(key_set.diffusers_prefix):
-                diffusers_count += 1
-            if key.startswith(key_set.legacy_diffusers_prefix):
-                legacy_diffusers_count += 1
-
-    if omi_count > diffusers_count and omi_count > legacy_diffusers_count:
-        return "omi"
-    if diffusers_count > omi_count and diffusers_count > legacy_diffusers_count:
-        return "diffusers"
-    if legacy_diffusers_count > omi_count and legacy_diffusers_count > diffusers_count:
-        return "legacy_diffusers"
-
-    return ""
-
-
-def convert_to_omi(
-    state_dict: dict[str, Tensor],
-    key_sets: list[LoraConversionKeySet],
-) -> dict[str, Tensor]:
-    source = __detect_source(state_dict, key_sets)
-    return __convert(state_dict, key_sets, source, "omi")
-
-
-def convert_to_diffusers(
-    state_dict: dict[str, Tensor],
-    key_sets: list[LoraConversionKeySet],
-) -> dict[str, Tensor]:
-    source = __detect_source(state_dict, key_sets)
-    return __convert(state_dict, key_sets, source, "diffusers")
-
-
-def convert_to_legacy_diffusers(
-    state_dict: dict[str, Tensor],
-    key_sets: list[LoraConversionKeySet],
-) -> dict[str, Tensor]:
-    source = __detect_source(state_dict, key_sets)
-    return __convert(state_dict, key_sets, source, "legacy_diffusers")

invokeai/backend/model_manager/omi/vendor/convert/lora/convert_sdxl_lora.py

@@ -1,125 +0,0 @@
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_clip import map_clip
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
-    LoraConversionKeySet,
-    map_prefix_range,
-)
-
-
-def __map_unet_resnet_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("emb_layers.1", "time_emb_proj", parent=key_prefix)]
-    keys += [LoraConversionKeySet("in_layers.2", "conv1", parent=key_prefix)]
-    keys += [LoraConversionKeySet("out_layers.3", "conv2", parent=key_prefix)]
-    keys += [LoraConversionKeySet("skip_connection", "conv_shortcut", parent=key_prefix)]
-
-    return keys
-
-
-def __map_unet_attention_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("proj_in", "proj_in", parent=key_prefix)]
-    keys += [LoraConversionKeySet("proj_out", "proj_out", parent=key_prefix)]
-    for k in map_prefix_range("transformer_blocks", "transformer_blocks", parent=key_prefix):
-        keys += [LoraConversionKeySet("attn1.to_q", "attn1.to_q", parent=k)]
-        keys += [LoraConversionKeySet("attn1.to_k", "attn1.to_k", parent=k)]
-        keys += [LoraConversionKeySet("attn1.to_v", "attn1.to_v", parent=k)]
-        keys += [LoraConversionKeySet("attn1.to_out.0", "attn1.to_out.0", parent=k)]
-        keys += [LoraConversionKeySet("attn2.to_q", "attn2.to_q", parent=k)]
-        keys += [LoraConversionKeySet("attn2.to_k", "attn2.to_k", parent=k)]
-        keys += [LoraConversionKeySet("attn2.to_v", "attn2.to_v", parent=k)]
-        keys += [LoraConversionKeySet("attn2.to_out.0", "attn2.to_out.0", parent=k)]
-        keys += [LoraConversionKeySet("ff.net.0.proj", "ff.net.0.proj", parent=k)]
-        keys += [LoraConversionKeySet("ff.net.2", "ff.net.2", parent=k)]
-
-    return keys
-
-
-def __map_unet_down_blocks(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("1.0", "0.resnets.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("2.0", "0.resnets.1", parent=key_prefix))
-    keys += [LoraConversionKeySet("3.0.op", "0.downsamplers.0.conv", parent=key_prefix)]
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("4.0", "1.resnets.0", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("4.1", "1.attentions.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("5.0", "1.resnets.1", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("5.1", "1.attentions.1", parent=key_prefix))
-    keys += [LoraConversionKeySet("6.0.op", "1.downsamplers.0.conv", parent=key_prefix)]
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("7.0", "2.resnets.0", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("7.1", "2.attentions.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("8.0", "2.resnets.1", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("8.1", "2.attentions.1", parent=key_prefix))
-
-    return keys
-
-
-def __map_unet_mid_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("0", "resnets.0", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("1", "attentions.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("2", "resnets.1", parent=key_prefix))
-
-    return keys
-
-
-def __map_unet_up_block(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("0.0", "0.resnets.0", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("0.1", "0.attentions.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("1.0", "0.resnets.1", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("1.1", "0.attentions.1", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("2.0", "0.resnets.2", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("2.1", "0.attentions.2", parent=key_prefix))
-    keys += [LoraConversionKeySet("2.2.conv", "0.upsamplers.0.conv", parent=key_prefix)]
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("3.0", "1.resnets.0", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("3.1", "1.attentions.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("4.0", "1.resnets.1", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("4.1", "1.attentions.1", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("5.0", "1.resnets.2", parent=key_prefix))
-    keys += __map_unet_attention_block(LoraConversionKeySet("5.1", "1.attentions.2", parent=key_prefix))
-    keys += [LoraConversionKeySet("5.2.conv", "1.upsamplers.0.conv", parent=key_prefix)]
-
-    keys += __map_unet_resnet_block(LoraConversionKeySet("6.0", "2.resnets.0", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("7.0", "2.resnets.1", parent=key_prefix))
-    keys += __map_unet_resnet_block(LoraConversionKeySet("8.0", "2.resnets.2", parent=key_prefix))
-
-    return keys
-
-
-def __map_unet(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("input_blocks.0.0", "conv_in", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("time_embed.0", "time_embedding.linear_1", parent=key_prefix)]
-    keys += [LoraConversionKeySet("time_embed.2", "time_embedding.linear_2", parent=key_prefix)]
-
-    keys += [LoraConversionKeySet("label_emb.0.0", "add_embedding.linear_1", parent=key_prefix)]
-    keys += [LoraConversionKeySet("label_emb.0.2", "add_embedding.linear_2", parent=key_prefix)]
-
-    keys += __map_unet_down_blocks(LoraConversionKeySet("input_blocks", "down_blocks", parent=key_prefix))
-    keys += __map_unet_mid_block(LoraConversionKeySet("middle_block", "mid_block", parent=key_prefix))
-    keys += __map_unet_up_block(LoraConversionKeySet("output_blocks", "up_blocks", parent=key_prefix))
-
-    keys += [LoraConversionKeySet("out.0", "conv_norm_out", parent=key_prefix)]
-    keys += [LoraConversionKeySet("out.2", "conv_out", parent=key_prefix)]
-
-    return keys
-
-
-def convert_sdxl_lora_key_sets() -> list[LoraConversionKeySet]:
-    keys = []
-
-    keys += [LoraConversionKeySet("bundle_emb", "bundle_emb")]
-    keys += __map_unet(LoraConversionKeySet("unet", "lora_unet"))
-    keys += map_clip(LoraConversionKeySet("clip_l", "lora_te1"))
-    keys += map_clip(LoraConversionKeySet("clip_g", "lora_te2"))
-
-    return keys

invokeai/backend/model_manager/omi/vendor/convert/lora/convert_t5.py

@@ -1,19 +0,0 @@
-from invokeai.backend.model_manager.omi.vendor.convert.lora.convert_lora_util import (
-    LoraConversionKeySet,
-    map_prefix_range,
-)
-
-
-def map_t5(key_prefix: LoraConversionKeySet) -> list[LoraConversionKeySet]:
-    keys = []
-
-    for k in map_prefix_range("encoder.block", "encoder.block", parent=key_prefix):
-        keys += [LoraConversionKeySet("layer.0.SelfAttention.k", "layer.0.SelfAttention.k", parent=k)]
-        keys += [LoraConversionKeySet("layer.0.SelfAttention.o", "layer.0.SelfAttention.o", parent=k)]
-        keys += [LoraConversionKeySet("layer.0.SelfAttention.q", "layer.0.SelfAttention.q", parent=k)]
-        keys += [LoraConversionKeySet("layer.0.SelfAttention.v", "layer.0.SelfAttention.v", parent=k)]
-        keys += [LoraConversionKeySet("layer.1.DenseReluDense.wi_0", "layer.1.DenseReluDense.wi_0", parent=k)]
-        keys += [LoraConversionKeySet("layer.1.DenseReluDense.wi_1", "layer.1.DenseReluDense.wi_1", parent=k)]
-        keys += [LoraConversionKeySet("layer.1.DenseReluDense.wo", "layer.1.DenseReluDense.wo", parent=k)]
-
-    return keys

invokeai/backend/model_manager/omi/vendor/model_spec/architecture.py

@@ -1,31 +0,0 @@
-stable_diffusion_1_lora = "stable-diffusion-v1/lora"
-stable_diffusion_1_inpainting_lora = "stable-diffusion-v1-inpainting/lora"
-
-stable_diffusion_2_512_lora = "stable-diffusion-v2-512/lora"
-stable_diffusion_2_768_v_lora = "stable-diffusion-v2-768-v/lora"
-stable_diffusion_2_depth_lora = "stable-diffusion-v2-depth/lora"
-stable_diffusion_2_inpainting_lora = "stable-diffusion-v2-inpainting/lora"
-
-stable_diffusion_3_medium_lora = "stable-diffusion-v3-medium/lora"
-stable_diffusion_35_medium_lora = "stable-diffusion-v3.5-medium/lora"
-stable_diffusion_35_large_lora = "stable-diffusion-v3.5-large/lora"
-
-stable_diffusion_xl_1_lora = "stable-diffusion-xl-v1-base/lora"
-stable_diffusion_xl_1_inpainting_lora = "stable-diffusion-xl-v1-base-inpainting/lora"
-
-wuerstchen_2_lora = "wuerstchen-v2-prior/lora"
-stable_cascade_1_stage_a_lora = "stable-cascade-v1-stage-a/lora"
-stable_cascade_1_stage_b_lora = "stable-cascade-v1-stage-b/lora"
-stable_cascade_1_stage_c_lora = "stable-cascade-v1-stage-c/lora"
-
-pixart_alpha_lora = "pixart-alpha/lora"
-pixart_sigma_lora = "pixart-sigma/lora"
-
-flux_dev_1_lora = "Flux.1-dev/lora"
-flux_fill_dev_1_lora = "Flux.1-fill-dev/lora"
-
-sana_lora = "sana/lora"
-
-hunyuan_video_lora = "hunyuan-video/lora"
-
-hi_dream_i1_lora = "hidream-i1/lora"

invokeai/backend/model_manager/starter_models.py

@@ -297,15 +297,6 @@ ip_adapter_sdxl = StarterModel(
     dependencies=[ip_adapter_sdxl_image_encoder],
     previous_names=["IP Adapter SDXL"],
 )
-ip_adapter_plus_sdxl = StarterModel(
-    name="Precise Reference (IP Adapter Plus ViT-H)",
-    base=BaseModelType.StableDiffusionXL,
-    source="https://huggingface.co/InvokeAI/ip-adapter-plus_sdxl_vit-h/resolve/main/ip-adapter-plus_sdxl_vit-h.safetensors",
-    description="References images with a higher degree of precision.",
-    type=ModelType.IPAdapter,
-    dependencies=[ip_adapter_sdxl_image_encoder],
-    previous_names=["IP Adapter Plus SDXL"],
-)
 ip_adapter_flux = StarterModel(
     name="Standard Reference (XLabs FLUX IP-Adapter v2)",
     base=BaseModelType.Flux,
@@ -681,7 +672,6 @@ STARTER_MODELS: list[StarterModel] = [
     ip_adapter_plus_sd1,
     ip_adapter_plus_face_sd1,
     ip_adapter_sdxl,
-    ip_adapter_plus_sdxl,
     ip_adapter_flux,
     qr_code_cnet_sd1,
     qr_code_cnet_sdxl,
@@ -754,7 +744,6 @@ sdxl_bundle: list[StarterModel] = [
     juggernaut_sdxl,
     sdxl_fp16_vae_fix,
     ip_adapter_sdxl,
-    ip_adapter_plus_sdxl,
     canny_sdxl,
     depth_sdxl,
     softedge_sdxl,

invokeai/backend/model_manager/taxonomy.py

@@ -89,7 +89,6 @@ class ModelVariantType(str, Enum):
 class ModelFormat(str, Enum):
     """Storage format of model."""
 
-    OMI = "omi"
     Diffusers = "diffusers"
     Checkpoint = "checkpoint"
     LyCORIS = "lycoris"
@@ -139,7 +138,6 @@ class FluxLoRAFormat(str, Enum):
     Kohya = "flux.kohya"
     OneTrainer = "flux.onetrainer"
     Control = "flux.control"
-    AIToolkit = "flux.aitoolkit"
 
 
 AnyVariant: TypeAlias = Union[ModelVariantType, ClipVariantType, None]

invokeai/backend/model_patcher.py

@@ -46,10 +46,6 @@ class ModelPatcher:
         text_encoder: Union[CLIPTextModel, CLIPTextModelWithProjection],
         ti_list: List[Tuple[str, TextualInversionModelRaw]],
     ) -> Iterator[Tuple[CLIPTokenizer, TextualInversionManager]]:
-        if len(ti_list) == 0:
-            yield tokenizer, TextualInversionManager(tokenizer)
-            return
-
         init_tokens_count = None
         new_tokens_added = None
 

invokeai/backend/patches/lora_conversions/flux_aitoolkit_lora_conversion_utils.py

@@ -1,63 +0,0 @@
-import json
-from dataclasses import dataclass, field
-from typing import Any
-
-import torch
-
-from invokeai.backend.patches.layers.base_layer_patch import BaseLayerPatch
-from invokeai.backend.patches.layers.utils import any_lora_layer_from_state_dict
-from invokeai.backend.patches.lora_conversions.flux_diffusers_lora_conversion_utils import _group_by_layer
-from invokeai.backend.patches.lora_conversions.flux_lora_constants import FLUX_LORA_TRANSFORMER_PREFIX
-from invokeai.backend.patches.model_patch_raw import ModelPatchRaw
-from invokeai.backend.util import InvokeAILogger
-
-
-def is_state_dict_likely_in_flux_aitoolkit_format(state_dict: dict[str, Any], metadata: dict[str, Any] = None) -> bool:
-    if metadata:
-        try:
-            software = json.loads(metadata.get("software", "{}"))
-        except json.JSONDecodeError:
-            return False
-        return software.get("name") == "ai-toolkit"
-    # metadata got lost somewhere
-    return any("diffusion_model" == k.split(".", 1)[0] for k in state_dict.keys())
-
-
-@dataclass
-class GroupedStateDict:
-    transformer: dict[str, Any] = field(default_factory=dict)
-    # might also grow CLIP and T5 submodels
-
-
-def _group_state_by_submodel(state_dict: dict[str, Any]) -> GroupedStateDict:
-    logger = InvokeAILogger.get_logger()
-    grouped = GroupedStateDict()
-    for key, value in state_dict.items():
-        submodel_name, param_name = key.split(".", 1)
-        match submodel_name:
-            case "diffusion_model":
-                grouped.transformer[param_name] = value
-            case _:
-                logger.warning(f"Unexpected submodel name: {submodel_name}")
-    return grouped
-
-
-def _rename_peft_lora_keys(state_dict: dict[str, torch.Tensor]) -> dict[str, torch.Tensor]:
-    """Renames keys from the PEFT LoRA format to the InvokeAI format."""
-    renamed_state_dict = {}
-    for key, value in state_dict.items():
-        renamed_key = key.replace(".lora_A.", ".lora_down.").replace(".lora_B.", ".lora_up.")
-        renamed_state_dict[renamed_key] = value
-    return renamed_state_dict
-
-
-def lora_model_from_flux_aitoolkit_state_dict(state_dict: dict[str, torch.Tensor]) -> ModelPatchRaw:
-    state_dict = _rename_peft_lora_keys(state_dict)
-    by_layer = _group_by_layer(state_dict)
-    by_model = _group_state_by_submodel(by_layer)
-
-    layers: dict[str, BaseLayerPatch] = {}
-    for layer_key, layer_state_dict in by_model.transformer.items():
-        layers[FLUX_LORA_TRANSFORMER_PREFIX + layer_key] = any_lora_layer_from_state_dict(layer_state_dict)
-
-    return ModelPatchRaw(layers=layers)

invokeai/backend/patches/lora_conversions/formats.py

@@ -1,7 +1,4 @@
 from invokeai.backend.model_manager.taxonomy import FluxLoRAFormat
-from invokeai.backend.patches.lora_conversions.flux_aitoolkit_lora_conversion_utils import (
-    is_state_dict_likely_in_flux_aitoolkit_format,
-)
 from invokeai.backend.patches.lora_conversions.flux_control_lora_utils import is_state_dict_likely_flux_control
 from invokeai.backend.patches.lora_conversions.flux_diffusers_lora_conversion_utils import (
     is_state_dict_likely_in_flux_diffusers_format,
@@ -14,7 +11,7 @@ from invokeai.backend.patches.lora_conversions.flux_onetrainer_lora_conversion_u
 )
 
 
-def flux_format_from_state_dict(state_dict: dict, metadata: dict | None = None) -> FluxLoRAFormat | None:
+def flux_format_from_state_dict(state_dict):
     if is_state_dict_likely_in_flux_kohya_format(state_dict):
         return FluxLoRAFormat.Kohya
     elif is_state_dict_likely_in_flux_onetrainer_format(state_dict):
@@ -23,7 +20,5 @@ def flux_format_from_state_dict(state_dict: dict, metadata: dict | None = None)
         return FluxLoRAFormat.Diffusers
     elif is_state_dict_likely_flux_control(state_dict):
         return FluxLoRAFormat.Control
-    elif is_state_dict_likely_in_flux_aitoolkit_format(state_dict, metadata):
-        return FluxLoRAFormat.AIToolkit
     else:
         return None

invokeai/frontend/web/.eslintrc.js

@@ -9,16 +9,13 @@ module.exports = {
     // https://github.com/qdanik/eslint-plugin-path
     'path/no-relative-imports': ['error', { maxDepth: 0 }],
     // https://github.com/edvardchen/eslint-plugin-i18next/blob/HEAD/docs/rules/no-literal-string.md
-    // TODO: ENABLE THIS RULE BEFORE v6.0.0
-    // 'i18next/no-literal-string': 'error',
+    'i18next/no-literal-string': 'error',
     // https://eslint.org/docs/latest/rules/no-console
-    'no-console': 'warn',
+    'no-console': 'error',
     // https://eslint.org/docs/latest/rules/no-promise-executor-return
     'no-promise-executor-return': 'error',
     // https://eslint.org/docs/latest/rules/require-await
     'require-await': 'error',
-    // TODO: ENABLE THIS RULE BEFORE v6.0.0
-    'react/display-name': 'off',
     'no-restricted-properties': [
       'error',
       {
@@ -33,27 +30,6 @@ module.exports = {
           'The Clipboard API is not available by default in Firefox. Use the `useClipboard` hook instead, which wraps clipboard access to prevent errors.',
       },
     ],
-    'no-restricted-imports': [
-      'error',
-      {
-        paths: [
-          {
-            name: 'lodash-es',
-            importNames: ['isEqual'],
-            message: 'Please use objectEquals from @observ33r/object-equals instead.',
-          },
-          {
-            name: 'lodash-es',
-            message: 'Please use es-toolkit instead.',
-          },
-          {
-            name: 'es-toolkit',
-            importNames: ['isEqual'],
-            message: 'Please use objectEquals from @observ33r/object-equals instead.',
-          },
-        ],
-      },
-    ],
   },
   overrides: [
     /**

invokeai/frontend/web/knip.ts

@@ -3,8 +3,6 @@ import type { KnipConfig } from 'knip';
 const config: KnipConfig = {
   project: ['src/**/*.{ts,tsx}!'],
   ignore: [
-    // TODO(psyche): temporarily ignored all files for test build purposes
-    'src/**',
     // This file is only used during debugging
     'src/app/store/middleware/debugLoggerMiddleware.ts',
     // Autogenerated types - shouldn't ever touch these

invokeai/frontend/web/package.json

@@ -52,58 +52,56 @@
     }
   },
   "dependencies": {
-    "@atlaskit/pragmatic-drag-and-drop": "^1.7.4",
-    "@atlaskit/pragmatic-drag-and-drop-auto-scroll": "^2.1.1",
-    "@atlaskit/pragmatic-drag-and-drop-hitbox": "^1.1.0",
-    "@dagrejs/dagre": "^1.1.5",
+    "@atlaskit/pragmatic-drag-and-drop": "^1.5.3",
+    "@atlaskit/pragmatic-drag-and-drop-auto-scroll": "^2.1.0",
+    "@atlaskit/pragmatic-drag-and-drop-hitbox": "^1.0.3",
+    "@dagrejs/dagre": "^1.1.4",
     "@dagrejs/graphlib": "^2.2.4",
-    "@fontsource-variable/inter": "^5.2.6",
+    "@fontsource-variable/inter": "^5.2.5",
     "@invoke-ai/ui-library": "^0.0.46",
     "@nanostores/react": "^1.0.0",
-    "@observ33r/object-equals": "^1.1.4",
-    "@reduxjs/toolkit": "2.8.2",
+    "@reduxjs/toolkit": "2.7.0",
     "@roarr/browser-log-writer": "^1.3.0",
-    "@xyflow/react": "^12.7.1",
+    "@xyflow/react": "^12.6.0",
     "async-mutex": "^0.5.0",
     "chakra-react-select": "^4.9.2",
     "cmdk": "^1.1.1",
     "compare-versions": "^6.1.1",
-    "dockview": "^4.4.0",
-    "es-toolkit": "^1.39.5",
     "filesize": "^10.1.6",
-    "fracturedjsonjs": "^4.1.0",
+    "fracturedjsonjs": "^4.0.2",
     "framer-motion": "^11.10.0",
-    "i18next": "^25.2.1",
+    "i18next": "^25.0.1",
     "i18next-http-backend": "^3.0.2",
-    "idb-keyval": "^6.2.2",
+    "idb-keyval": "^6.2.1",
     "jsondiffpatch": "^0.7.3",
     "konva": "^9.3.20",
-    "linkify-react": "^4.3.1",
-    "linkifyjs": "^4.3.1",
+    "linkify-react": "^4.2.0",
+    "linkifyjs": "^4.2.0",
+    "lodash-es": "^4.17.21",
     "lru-cache": "^11.1.0",
     "mtwist": "^1.0.2",
     "nanoid": "^5.1.5",
     "nanostores": "^1.0.1",
     "new-github-issue-url": "^1.1.0",
-    "overlayscrollbars": "^2.11.4",
+    "overlayscrollbars": "^2.11.1",
     "overlayscrollbars-react": "^0.5.6",
     "perfect-freehand": "^1.2.2",
-    "query-string": "^9.2.1",
+    "query-string": "^9.1.1",
     "raf-throttle": "^2.0.6",
     "react": "^18.3.1",
     "react-colorful": "^5.6.1",
     "react-dom": "^18.3.1",
     "react-dropzone": "^14.3.8",
     "react-error-boundary": "^5.0.0",
-    "react-hook-form": "^7.58.1",
+    "react-hook-form": "^7.56.1",
     "react-hotkeys-hook": "4.5.0",
-    "react-i18next": "^15.5.3",
+    "react-i18next": "^15.5.1",
     "react-icons": "^5.5.0",
     "react-redux": "9.2.0",
-    "react-resizable-panels": "^3.0.3",
+    "react-resizable-panels": "^2.1.8",
     "react-textarea-autosize": "^8.5.9",
     "react-use": "^17.6.0",
-    "react-virtuoso": "^4.13.0",
+    "react-virtuoso": "^4.12.6",
     "redux-dynamic-middlewares": "^2.2.0",
     "redux-remember": "^5.2.0",
     "redux-undo": "^1.1.0",
@@ -111,12 +109,12 @@
     "roarr": "^7.21.1",
     "serialize-error": "^12.0.0",
     "socket.io-client": "^4.8.1",
-    "stable-hash": "^0.0.6",
-    "use-debounce": "^10.0.5",
+    "stable-hash": "^0.0.5",
+    "use-debounce": "^10.0.4",
     "use-device-pixel-ratio": "^1.1.2",
     "uuid": "^11.1.0",
-    "zod": "^3.25.67",
-    "zod-validation-error": "^3.5.2"
+    "zod": "^3.24.3",
+    "zod-validation-error": "^3.4.0"
   },
   "peerDependencies": {
     "react": "^18.2.0",
@@ -133,6 +131,7 @@
     "@storybook/react": "^8.6.12",
     "@storybook/react-vite": "^8.6.12",
     "@storybook/theming": "^8.6.12",
+    "@types/lodash-es": "^4.17.12",
     "@types/node": "^22.15.1",
     "@types/react": "^18.3.11",
     "@types/react-dom": "^18.3.0",

invokeai/frontend/web/pnpm-lock.yaml

@@ -6,41 +6,38 @@ settings:
 
 dependencies:
   '@atlaskit/pragmatic-drag-and-drop':
-    specifier: ^1.7.4
-    version: 1.7.4
+    specifier: ^1.5.3
+    version: 1.5.3
   '@atlaskit/pragmatic-drag-and-drop-auto-scroll':
-    specifier: ^2.1.1
-    version: 2.1.1
+    specifier: ^2.1.0
+    version: 2.1.0
   '@atlaskit/pragmatic-drag-and-drop-hitbox':
-    specifier: ^1.1.0
-    version: 1.1.0
+    specifier: ^1.0.3
+    version: 1.0.3
   '@dagrejs/dagre':
-    specifier: ^1.1.5
-    version: 1.1.5
+    specifier: ^1.1.4
+    version: 1.1.4
   '@dagrejs/graphlib':
     specifier: ^2.2.4
     version: 2.2.4
   '@fontsource-variable/inter':
-    specifier: ^5.2.6
-    version: 5.2.6
+    specifier: ^5.2.5
+    version: 5.2.5
   '@invoke-ai/ui-library':
     specifier: ^0.0.46
-    version: 0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.6)(@types/react@18.3.11)(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
+    version: 0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.5)(@types/react@18.3.11)(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
   '@nanostores/react':
     specifier: ^1.0.0
     version: 1.0.0(nanostores@1.0.1)(react@18.3.1)
-  '@observ33r/object-equals':
-    specifier: ^1.1.4
-    version: 1.1.4
   '@reduxjs/toolkit':
-    specifier: 2.8.2
-    version: 2.8.2(react-redux@9.2.0)(react@18.3.1)
+    specifier: 2.7.0
+    version: 2.7.0(react-redux@9.2.0)(react@18.3.1)
   '@roarr/browser-log-writer':
     specifier: ^1.3.0
     version: 1.3.0
   '@xyflow/react':
-    specifier: ^12.7.1
-    version: 12.7.1(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
+    specifier: ^12.6.0
+    version: 12.6.0(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
   async-mutex:
     specifier: ^0.5.0
     version: 0.5.0
@@ -53,30 +50,24 @@ dependencies:
   compare-versions:
     specifier: ^6.1.1
     version: 6.1.1
-  dockview:
-    specifier: ^4.4.0
-    version: 4.4.0(react@18.3.1)
-  es-toolkit:
-    specifier: ^1.39.5
-    version: 1.39.5
   filesize:
     specifier: ^10.1.6
     version: 10.1.6
   fracturedjsonjs:
-    specifier: ^4.1.0
-    version: 4.1.0
+    specifier: ^4.0.2
+    version: 4.0.2
   framer-motion:
     specifier: ^11.10.0
     version: 11.10.0(react-dom@18.3.1)(react@18.3.1)
   i18next:
-    specifier: ^25.2.1
-    version: 25.2.1(typescript@5.8.3)
+    specifier: ^25.0.1
+    version: 25.0.1(typescript@5.8.3)
   i18next-http-backend:
     specifier: ^3.0.2
     version: 3.0.2
   idb-keyval:
-    specifier: ^6.2.2
-    version: 6.2.2
+    specifier: ^6.2.1
+    version: 6.2.1
   jsondiffpatch:
     specifier: ^0.7.3
     version: 0.7.3
@@ -84,11 +75,14 @@ dependencies:
     specifier: ^9.3.20
     version: 9.3.20
   linkify-react:
-    specifier: ^4.3.1
-    version: 4.3.1(linkifyjs@4.3.1)(react@18.3.1)
+    specifier: ^4.2.0
+    version: 4.2.0(linkifyjs@4.2.0)(react@18.3.1)
   linkifyjs:
-    specifier: ^4.3.1
-    version: 4.3.1
+    specifier: ^4.2.0
+    version: 4.2.0
+  lodash-es:
+    specifier: ^4.17.21
+    version: 4.17.21
   lru-cache:
     specifier: ^11.1.0
     version: 11.1.0
@@ -105,17 +99,17 @@ dependencies:
     specifier: ^1.1.0
     version: 1.1.0
   overlayscrollbars:
-    specifier: ^2.11.4
-    version: 2.11.4
+    specifier: ^2.11.1
+    version: 2.11.1
   overlayscrollbars-react:
     specifier: ^0.5.6
-    version: 0.5.6(overlayscrollbars@2.11.4)(react@18.3.1)
+    version: 0.5.6(overlayscrollbars@2.11.1)(react@18.3.1)
   perfect-freehand:
     specifier: ^1.2.2
     version: 1.2.2
   query-string:
-    specifier: ^9.2.1
-    version: 9.2.1
+    specifier: ^9.1.1
+    version: 9.1.1
   raf-throttle:
     specifier: ^2.0.6
     version: 2.0.6
@@ -135,14 +129,14 @@ dependencies:
     specifier: ^5.0.0
     version: 5.0.0(react@18.3.1)
   react-hook-form:
-    specifier: ^7.58.1
-    version: 7.58.1(react@18.3.1)
+    specifier: ^7.56.1
+    version: 7.56.1(react@18.3.1)
   react-hotkeys-hook:
     specifier: 4.5.0
     version: 4.5.0(react-dom@18.3.1)(react@18.3.1)
   react-i18next:
-    specifier: ^15.5.3
-    version: 15.5.3(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
+    specifier: ^15.5.1
+    version: 15.5.1(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
   react-icons:
     specifier: ^5.5.0
     version: 5.5.0(react@18.3.1)
@@ -150,8 +144,8 @@ dependencies:
     specifier: 9.2.0
     version: 9.2.0(@types/react@18.3.11)(react@18.3.1)(redux@5.0.1)
   react-resizable-panels:
-    specifier: ^3.0.3
-    version: 3.0.3(react-dom@18.3.1)(react@18.3.1)
+    specifier: ^2.1.8
+    version: 2.1.8(react-dom@18.3.1)(react@18.3.1)
   react-textarea-autosize:
     specifier: ^8.5.9
     version: 8.5.9(@types/react@18.3.11)(react@18.3.1)
@@ -159,8 +153,8 @@ dependencies:
     specifier: ^17.6.0
     version: 17.6.0(react-dom@18.3.1)(react@18.3.1)
   react-virtuoso:
-    specifier: ^4.13.0
-    version: 4.13.0(react-dom@18.3.1)(react@18.3.1)
+    specifier: ^4.12.6
+    version: 4.12.6(react-dom@18.3.1)(react@18.3.1)
   redux-dynamic-middlewares:
     specifier: ^2.2.0
     version: 2.2.0
@@ -183,11 +177,11 @@ dependencies:
     specifier: ^4.8.1
     version: 4.8.1
   stable-hash:
-    specifier: ^0.0.6
-    version: 0.0.6
+    specifier: ^0.0.5
+    version: 0.0.5
   use-debounce:
-    specifier: ^10.0.5
-    version: 10.0.5(react@18.3.1)
+    specifier: ^10.0.4
+    version: 10.0.4(react@18.3.1)
   use-device-pixel-ratio:
     specifier: ^1.1.2
     version: 1.1.2(react@18.3.1)
@@ -195,11 +189,11 @@ dependencies:
     specifier: ^11.1.0
     version: 11.1.0
   zod:
-    specifier: ^3.25.67
-    version: 3.25.67
+    specifier: ^3.24.3
+    version: 3.24.3
   zod-validation-error:
-    specifier: ^3.5.2
-    version: 3.5.2(zod@3.25.67)
+    specifier: ^3.4.0
+    version: 3.4.0(zod@3.24.3)
 
 devDependencies:
   '@invoke-ai/eslint-config-react':
@@ -232,6 +226,9 @@ devDependencies:
   '@storybook/theming':
     specifier: ^8.6.12
     version: 8.6.12(storybook@8.6.12)
+  '@types/lodash-es':
+    specifier: ^4.17.12
+    version: 4.17.12
   '@types/node':
     specifier: ^22.15.1
     version: 22.15.1
@@ -331,24 +328,24 @@ packages:
       '@jridgewell/trace-mapping': 0.3.25
     dev: true
 
-  /@atlaskit/pragmatic-drag-and-drop-auto-scroll@2.1.1:
-    resolution: {integrity: sha512-VAQEb3NVLY9Q5ZgC5Eiws9Uf6xOINY9/pAZMdbOVlF90uRXEkmpYqdTL+zeyZ8U8deuqYCmXr7oWIEnxpNQVzA==}
+  /@atlaskit/pragmatic-drag-and-drop-auto-scroll@2.1.0:
+    resolution: {integrity: sha512-E52y8/0BTTf4ai6BJyFYgdVHFgQ1AES33KvAVQpZ41jMkoukLIq6UoCudOXku7xs3qoPygQdpC+vitVUuEFJXw==}
     dependencies:
-      '@atlaskit/pragmatic-drag-and-drop': 1.7.4
-      '@babel/runtime': 7.27.6
+      '@atlaskit/pragmatic-drag-and-drop': 1.5.3
+      '@babel/runtime': 7.27.0
     dev: false
 
-  /@atlaskit/pragmatic-drag-and-drop-hitbox@1.1.0:
-    resolution: {integrity: sha512-JWt6eVp6Br2FPHRM8s0dUIHQk/jFInGP1f3ti5CdtM1Ji5/pt8Akm44wDC063Gv2i5RGseixtbW0z/t6RYtbdg==}
+  /@atlaskit/pragmatic-drag-and-drop-hitbox@1.0.3:
+    resolution: {integrity: sha512-/Sbu/HqN2VGLYBhnsG7SbRNg98XKkbF6L7XDdBi+izRybfaK1FeMfodPpm/xnBHPJzwYMdkE0qtLyv6afhgMUA==}
     dependencies:
-      '@atlaskit/pragmatic-drag-and-drop': 1.7.4
-      '@babel/runtime': 7.27.6
+      '@atlaskit/pragmatic-drag-and-drop': 1.5.3
+      '@babel/runtime': 7.25.7
     dev: false
 
-  /@atlaskit/pragmatic-drag-and-drop@1.7.4:
-    resolution: {integrity: sha512-lZHnO9BJdHPKnwB0uvVUCyDnIhL+WAHzXQ2EXX0qacogOsnvIUiCgY0BLKhBqTCWln3/f/Ox5jU54MKO6ayh9A==}
+  /@atlaskit/pragmatic-drag-and-drop@1.5.3:
+    resolution: {integrity: sha512-YFhSvBJjnPbYuZrCDaiTLwdJ+zxgS7uBaBObzB8Io77DFnGi3M4IV87Jwc1dwb6RS4BszslPOrX0axz0pODCsw==}
     dependencies:
-      '@babel/runtime': 7.27.6
+      '@babel/runtime': 7.27.0
       bind-event-listener: 3.0.0
       raf-schd: 4.0.3
     dev: false
@@ -536,11 +533,6 @@ packages:
     dependencies:
       regenerator-runtime: 0.14.1
 
-  /@babel/runtime@7.27.6:
-    resolution: {integrity: sha512-vbavdySgbTTrmFE+EsiqUTzlOr5bzlnJtUv9PynGCAKvfQqjIXbvFdumPM/GxMDfyuGMJaJAU6TO4zc1Jf1i8Q==}
-    engines: {node: '>=6.9.0'}
-    dev: false
-
   /@babel/template@7.25.7:
     resolution: {integrity: sha512-wRwtAgI3bAS+JGU2upWNL9lSlDcRCqD05BZ1n3X2ONLH1WilFP6O1otQjeMK/1g0pvYcXC7b/qVUB1keofjtZA==}
     engines: {node: '>=6.9.0'}
@@ -1091,8 +1083,8 @@ packages:
       react: 18.3.1
     dev: false
 
-  /@dagrejs/dagre@1.1.5:
-    resolution: {integrity: sha512-Ghgrh08s12DCL5SeiR6AoyE80mQELTWhJBRmXfFoqDiFkR458vPEdgTbbjA0T+9ETNxUblnD0QW55tfdvi5pjQ==}
+  /@dagrejs/dagre@1.1.4:
+    resolution: {integrity: sha512-QUTc54Cg/wvmlEUxB+uvoPVKFazM1H18kVHBQNmK2NbrDR5ihOCR6CXLnDSZzMcSQKJtabPUWridBOlJM3WkDg==}
     dependencies:
       '@dagrejs/graphlib': 2.2.4
     dev: false
@@ -1594,8 +1586,8 @@ packages:
     resolution: {integrity: sha512-kym7SodPp8/wloecOpcmSnWJsK7M0E5Wg8UcFA+uO4B9s5d0ywXOEro/8HM9x0rW+TljRzul/14UYz3TleT3ig==}
     dev: false
 
-  /@fontsource-variable/inter@5.2.6:
-    resolution: {integrity: sha512-jks/bficUPQ9nn7GvXvHtlQIPudW7Wx8CrlZoY8bhxgeobNxlQan8DclUJuYF2loYRrGpfrhCIZZspXYysiVGg==}
+  /@fontsource-variable/inter@5.2.5:
+    resolution: {integrity: sha512-TrWffUAFOnT8zroE9YmGybagoOgM/HjRqMQ8k9R0vVgXlnUh/vnpbGPAS/Caz1KIlOPnPGh6fvJbb7DHbFCncA==}
     dev: false
 
   /@humanwhocodes/config-array@0.13.0:
@@ -1654,7 +1646,7 @@ packages:
       prettier: 3.5.3
     dev: true
 
-  /@invoke-ai/ui-library@0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.6)(@types/react@18.3.11)(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
+  /@invoke-ai/ui-library@0.0.46(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.2.5)(@types/react@18.3.11)(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
     resolution: {integrity: sha512-3YBuWWhRbTUHi0RZKeyvDEvweoyZmeBdUGJIhemjdAgGx6l98rAMeCs8IQH+SYjSAIhiGRGf45fQ33PDK8Jkmw==}
     peerDependencies:
       '@fontsource-variable/inter': ^5.0.16
@@ -1670,7 +1662,7 @@ packages:
       '@chakra-ui/theme-tools': 2.2.7(@chakra-ui/styled-system@2.12.1)(react@18.3.1)
       '@emotion/react': 11.14.0(@types/react@18.3.11)(react@18.3.1)
       '@emotion/styled': 11.14.0(@emotion/react@11.14.0)(@types/react@18.3.11)(react@18.3.1)
-      '@fontsource-variable/inter': 5.2.6
+      '@fontsource-variable/inter': 5.2.5
       '@nanostores/react': 0.7.3(nanostores@0.11.4)(react@18.3.1)
       chakra-react-select: 4.10.1(@chakra-ui/react@2.10.4)(@emotion/react@11.14.0)(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
       framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1)
@@ -1680,7 +1672,7 @@ packages:
       overlayscrollbars-react: 0.5.6(overlayscrollbars@2.10.0)(react@18.3.1)
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
-      react-i18next: 15.5.3(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
+      react-i18next: 15.5.1(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3)
       react-icons: 5.5.0(react@18.3.1)
       react-select: 5.10.0(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1)
     transitivePeerDependencies:
@@ -1858,10 +1850,6 @@ packages:
       fastq: 1.17.1
     dev: true
 
-  /@observ33r/object-equals@1.1.4:
-    resolution: {integrity: sha512-a46ys2Zvyyu1NPo8C8mF6FLztVxxaBtXpZwxlQutaaRtQFcD71yTMwyPY4DOuHsz//YEZjLkCw+mJoKDiG/CgA==}
-    dev: false
-
   /@pkgjs/parseargs@0.11.0:
     resolution: {integrity: sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==}
     engines: {node: '>=14'}
@@ -2173,8 +2161,8 @@ packages:
       - supports-color
     dev: true
 
-  /@reduxjs/toolkit@2.8.2(react-redux@9.2.0)(react@18.3.1):
-    resolution: {integrity: sha512-MYlOhQ0sLdw4ud48FoC5w0dH9VfWQjtCjreKwYTT3l+r427qYC5Y8PihNutepr8XrNaBUDQo9khWUwQxZaqt5A==}
+  /@reduxjs/toolkit@2.7.0(react-redux@9.2.0)(react@18.3.1):
+    resolution: {integrity: sha512-XVwolG6eTqwV0N8z/oDlN93ITCIGIop6leXlGJI/4EKy+0POYkR+ABHRSdGXY+0MQvJBP8yAzh+EYFxTuvmBiQ==}
     peerDependencies:
       react: ^16.9.0 || ^17.0.0 || ^18 || ^19
       react-redux: ^7.2.1 || ^8.1.3 || ^9.0.0
@@ -2807,7 +2795,7 @@ packages:
     peerDependencies:
       storybook: ^8.6.12
     dependencies:
-      es-toolkit: 1.39.5
+      es-toolkit: 1.36.0
       estraverse: 5.3.0
       prettier: 3.5.3
       storybook: 8.6.12(prettier@3.5.3)
@@ -3098,10 +3086,16 @@ packages:
     resolution: {integrity: sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==}
     dev: true
 
+  /@types/lodash-es@4.17.12:
+    resolution: {integrity: sha512-0NgftHUcV4v34VhXm8QBSftKVXtbkBG3ViCjs6+eJ5a6y6Mi/jiFGPc1sC7QK+9BFhWrURE3EOggmWaSxL9OzQ==}
+    dependencies:
+      '@types/lodash': 4.17.10
+    dev: true
+
   /@types/lodash.mergewith@4.6.7:
     resolution: {integrity: sha512-3m+lkO5CLRRYU0fhGRp7zbsGi6+BZj0uTVSwvcKU+nSlhjA9/QRNfuSGnD2mX6hQA7ZbmcCkzk5h4ZYGOtk14A==}
     dependencies:
-      '@types/lodash': 4.17.18
+      '@types/lodash': 4.17.16
     dev: false
 
   /@types/lodash.mergewith@4.6.9:
@@ -3112,10 +3106,9 @@ packages:
 
   /@types/lodash@4.17.10:
     resolution: {integrity: sha512-YpS0zzoduEhuOWjAotS6A5AVCva7X4lVlYLF0FYHAY9sdraBfnatttHItlWeZdGhuEkf+OzMNg2ZYAx8t+52uQ==}
-    dev: false
 
-  /@types/lodash@4.17.18:
-    resolution: {integrity: sha512-KJ65INaxqxmU6EoCiJmRPZC9H9RVWCRd349tXM2M3O5NA7cY6YL7c0bHAHQ93NOfTObEQ004kd2QVHs/r0+m4g==}
+  /@types/lodash@4.17.16:
+    resolution: {integrity: sha512-HX7Em5NYQAXKW+1T+FiuG27NGwzJfCX3s1GjOa7ujxZa52kjJLOr4FUxT+giF6Tgxv1e+/czV/iTtBw27WTU9g==}
     dev: false
 
   /@types/mdx@2.0.13:
@@ -3591,32 +3584,30 @@ packages:
     resolution: {integrity: sha512-N8tkAACJx2ww8vFMneJmaAgmjAG1tnVBZJRLRcx061tmsLRZHSEZSLuGWnwPtunsSLvSqXQ2wfp7Mgqg1I+2dQ==}
     dev: false
 
-  /@xyflow/react@12.7.1(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-uvIPQIZdf8tt0mDWvhkEpg/7t5E/e/KE4RWjNczAEhEYA+uvLc+4A5kIPJqCjJJbVHfMiAojT5JOB5mB7/EgFw==}
+  /@xyflow/react@12.6.0(@types/react@18.3.11)(react-dom@18.3.1)(react@18.3.1):
+    resolution: {integrity: sha512-YzsSK4SlpC6e9Ki1g6O9B1UH7xvz/bzWF+tJ+vWDD8Am5xJmFn0jYnCEuqvzvH8dRKb1NFBmyuqEGqWN39xXsA==}
     peerDependencies:
       react: '>=17'
       react-dom: '>=17'
     dependencies:
-      '@xyflow/system': 0.0.63
+      '@xyflow/system': 0.0.57
       classcat: 5.0.5
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
-      zustand: 4.5.7(@types/react@18.3.11)(react@18.3.1)
+      zustand: 4.5.6(@types/react@18.3.11)(react@18.3.1)
     transitivePeerDependencies:
       - '@types/react'
       - immer
     dev: false
 
-  /@xyflow/system@0.0.63:
-    resolution: {integrity: sha512-lCZRh5o7RCPE7iNe3yKzV8UuS4hijVIWJ9nbQh9eowsRJOwgy5KlUnZ3Q43SOlRsZnOht8px5phpsjBHPRn+oQ==}
+  /@xyflow/system@0.0.57:
+    resolution: {integrity: sha512-1YpBo0WgmZLR5wQw9Jvk3Tu0gISi/oYc4uSimrDuAsA/G2rGleulLrKkM59uuT/QU5m6DYC2VdBDAzjSNMGuBA==}
     dependencies:
       '@types/d3-drag': 3.0.7
-      '@types/d3-interpolate': 3.0.4
       '@types/d3-selection': 3.0.11
       '@types/d3-transition': 3.0.9
       '@types/d3-zoom': 3.0.8
       d3-drag: 3.0.0
-      d3-interpolate: 3.0.1
       d3-selection: 3.0.0
       d3-zoom: 3.0.0
     dev: false
@@ -3908,7 +3899,7 @@ packages:
     resolution: {integrity: sha512-Cg7TFGpIr01vOQNODXOOaGz2NpCU5gl8x1qJFbb6hbZxR7XrcE2vtbAsTAbJ7/xwJtUuJEw8K8Zr/AE0LHlesg==}
     engines: {node: '>=10', npm: '>=6'}
     dependencies:
-      '@babel/runtime': 7.27.0
+      '@babel/runtime': 7.25.7
       cosmiconfig: 7.1.0
       resolve: 1.22.8
     dev: false
@@ -4501,19 +4492,6 @@ packages:
     resolution: {integrity: sha512-c68LpLbO+7kP/b1Hr1qs8/BJ09F5khZGTxqxZuhzxpmwJKOgRFHJWIb9/KmqnqHhLdO55aOxFH/EGBvUQbL/RQ==}
     dev: false
 
-  /dockview-core@4.4.0:
-    resolution: {integrity: sha512-UsBJwS3lfZXM+gaTA+bJs8rAxLd7ZEmNcUf5CbKKhiPeKIPJrNCxXxTLcnQb3IXMJUGkE0aX1ZJ4BDaZGMtzlA==}
-    dev: false
-
-  /dockview@4.4.0(react@18.3.1):
-    resolution: {integrity: sha512-cWi5R40R5kDky69vAqsKGznRx5tA0gk3Mdqe5aS2r4ollK951mWNJ/EeMmac+UP/juw4cbl0/APhXTV+EMnAbg==}
-    peerDependencies:
-      react: ^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0
-    dependencies:
-      dockview-core: 4.4.0
-      react: 18.3.1
-    dev: false
-
   /doctrine@2.1.0:
     resolution: {integrity: sha512-35mSku4ZXK0vfCuHEDAwt55dg2jNajHZ1odvF+8SSr82EsZY4QmXfuWso8oEd8zRhVObSN18aM0CjSdoBX7zIw==}
     engines: {node: '>=0.10.0'}
@@ -4539,7 +4517,7 @@ packages:
   /dom-helpers@5.2.1:
     resolution: {integrity: sha512-nRCa7CK3VTrM2NmGkIy4cbK7IZlgBE/PYMn55rrXefr5xXDP0LdtfPnblFDoVdcAfslJ7or6iqAUnx0CCGIWQA==}
     dependencies:
-      '@babel/runtime': 7.27.0
+      '@babel/runtime': 7.25.7
       csstype: 3.1.3
     dev: false
 
@@ -4762,8 +4740,9 @@ packages:
       is-symbol: 1.0.4
     dev: true
 
-  /es-toolkit@1.39.5:
-    resolution: {integrity: sha512-z9V0qU4lx1TBXDNFWfAASWk6RNU6c6+TJBKE+FLIg8u0XJ6Yw58Hi0yX8ftEouj6p1QARRlXLFfHbIli93BdQQ==}
+  /es-toolkit@1.36.0:
+    resolution: {integrity: sha512-5lpkRpDELuTSeAL//Rcg5urg+K/yOD1BobJSiNeCc89snMqgrhckmj8jdljqraDbpREiXTNW311RN518eVHBng==}
+    dev: true
 
   /esbuild-register@3.6.0(esbuild@0.25.3):
     resolution: {integrity: sha512-H2/S7Pm8a9CL1uhp9OvjwrBh5Pvx0H8qVOxNu8Wed9Y7qv56MPtq+GGM8RJpq6glYJn9Wspr8uw7l55uyinNeg==}
@@ -5301,8 +5280,8 @@ packages:
       signal-exit: 4.1.0
     dev: true
 
-  /fracturedjsonjs@4.1.0:
-    resolution: {integrity: sha512-qy6LPA8OOiiyRHt5/sNKDayD7h5r3uHmHxSOLbBsgtU/hkt5vOVWOR51MdfDbeCNfj7k/dKCRbXYm8FBAJcgWQ==}
+  /fracturedjsonjs@4.0.2:
+    resolution: {integrity: sha512-+vGJH9wK0EEhbbn50V2sOebLRaar1VL3EXr02kxchIwpkhQk0ItrPjIOtYPYuU9hNFpVzxjrPgzjtMJih+ae4A==}
     dev: false
 
   /framer-motion@10.18.0(react-dom@18.3.1)(react@18.3.1):
@@ -5631,20 +5610,20 @@ packages:
       - encoding
     dev: false
 
-  /i18next@25.2.1(typescript@5.8.3):
-    resolution: {integrity: sha512-+UoXK5wh+VlE1Zy5p6MjcvctHXAhRwQKCxiJD8noKZzIXmnAX8gdHX5fLPA3MEVxEN4vbZkQFy8N0LyD9tUqPw==}
+  /i18next@25.0.1(typescript@5.8.3):
+    resolution: {integrity: sha512-8S8PyZbrymJZn3DaN70/34JYWNhsqrU6yA4MuzcygJBv+41dgNMocEA8h+kV1P7MCc1ll03lOTOIXE7mpNCicw==}
     peerDependencies:
       typescript: ^5
     peerDependenciesMeta:
       typescript:
         optional: true
     dependencies:
-      '@babel/runtime': 7.27.6
+      '@babel/runtime': 7.27.0
       typescript: 5.8.3
     dev: false
 
-  /idb-keyval@6.2.2:
-    resolution: {integrity: sha512-yjD9nARJ/jb1g+CvD0tlhUHOrJ9Sy0P8T9MF3YaLlHnSRpwPfpTX0XIvpmw3gAJUmEu3FiICLBDPXVwyEvrleg==}
+  /idb-keyval@6.2.1:
+    resolution: {integrity: sha512-8Sb3veuYCyrZL+VBt9LJfZjLUPWVvqn8tG28VqYNFCo43KHcKuq+b4EiXGeuaLAQWL2YmyDgMp2aSpH9JHsEQg==}
     dev: false
 
   /ieee754@1.2.1:
@@ -6151,8 +6130,8 @@ packages:
       smol-toml: 1.3.4
       strip-json-comments: 5.0.1
       typescript: 5.8.3
-      zod: 3.25.67
-      zod-validation-error: 3.5.2(zod@3.25.67)
+      zod: 3.24.3
+      zod-validation-error: 3.4.0(zod@3.24.3)
     dev: true
 
   /kolorist@1.8.0:
@@ -6175,18 +6154,18 @@ packages:
     resolution: {integrity: sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg==}
     dev: false
 
-  /linkify-react@4.3.1(linkifyjs@4.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-w8ahBdCwF9C/doS4V3nE93QF1oyORmosvi8UEUbpHYws077eGzhkxUzJQcE2/SU5Q2K7SD80M4ybwwZGHErx5Q==}
+  /linkify-react@4.2.0(linkifyjs@4.2.0)(react@18.3.1):
+    resolution: {integrity: sha512-dIcDGo+n4FP2FPIHDcqB7cUE+omkcEgQJpc7sNNP4+XZ9FUhFAkKjGnHMzsZM+B4yF93sK166z9K5cKTe/JpzA==}
     peerDependencies:
       linkifyjs: ^4.0.0
       react: '>= 15.0.0'
     dependencies:
-      linkifyjs: 4.3.1
+      linkifyjs: 4.2.0
       react: 18.3.1
     dev: false
 
-  /linkifyjs@4.3.1:
-    resolution: {integrity: sha512-DRSlB9DKVW04c4SUdGvKK5FR6be45lTU9M76JnngqPeeGDqPwYc0zdUErtsNVMtxPXgUWV4HbXbnC4sNyBxkYg==}
+  /linkifyjs@4.2.0:
+    resolution: {integrity: sha512-pCj3PrQyATaoTYKHrgWRF3SJwsm61udVh+vuls/Rl6SptiDhgE7ziUIudAedRY9QEfynmM7/RmLEfPUyw1HPCw==}
     dev: false
 
   /liqe@3.8.0:
@@ -6630,13 +6609,13 @@ packages:
       react: 18.3.1
     dev: false
 
-  /overlayscrollbars-react@0.5.6(overlayscrollbars@2.11.4)(react@18.3.1):
+  /overlayscrollbars-react@0.5.6(overlayscrollbars@2.11.1)(react@18.3.1):
     resolution: {integrity: sha512-E5To04bL5brn9GVCZ36SnfGanxa2I2MDkWoa4Cjo5wol7l+diAgi4DBc983V7l2nOk/OLJ6Feg4kySspQEGDBw==}
     peerDependencies:
       overlayscrollbars: ^2.0.0
       react: '>=16.8.0'
     dependencies:
-      overlayscrollbars: 2.11.4
+      overlayscrollbars: 2.11.1
       react: 18.3.1
     dev: false
 
@@ -6644,8 +6623,8 @@ packages:
     resolution: {integrity: sha512-diNMeEafWTE0A4GJfwRpdBp2rE/BEvrhptBdBcDu8/UeytWcdCy9Td8tZWnztJeJ26f8/uHCWfPnPUC/dtgJdw==}
     dev: false
 
-  /overlayscrollbars@2.11.4:
-    resolution: {integrity: sha512-GKYQo3OZ1QWnppNjQVv5hfpn+glYUxc6+ufW+ivdXUyLWFNc01XoH2Z36KGM4I8e5pXYeA3ElNItcXiLvmUhnQ==}
+  /overlayscrollbars@2.11.1:
+    resolution: {integrity: sha512-kogaNaBTIizRenQ2GTzt2cpkEH9B0nUBXseRxqQblH/YicJ3TaWuvn8E5TXPPfJCVoHYSgBYZzzva40kCERKHg==}
     dev: false
 
   /p-limit@3.1.0:
@@ -6851,8 +6830,8 @@ packages:
     resolution: {integrity: sha512-t41VRkMYbkHyCYmOvx/6URnN80H7k4X0lLdBMGsz+maAwrJQYB1djpV6vHrQIBE0WBSGqhtEHrK9U3DWWH8v7A==}
     dev: true
 
-  /query-string@9.2.1:
-    resolution: {integrity: sha512-3jTGGLRzlhu/1ws2zlr4Q+GVMLCQTLFOj8CMX5x44cdZG9FQE07x2mQhaNxaKVPNmIDu0mvJ/cEwtY7Pim7hqA==}
+  /query-string@9.1.1:
+    resolution: {integrity: sha512-MWkCOVIcJP9QSKU52Ngow6bsAWAPlPK2MludXvcrS2bGZSl+T1qX9MZvRIkqUIkGLJquMJHWfsT6eRqUpp4aWg==}
     engines: {node: '>=18'}
     dependencies:
       decode-uri-component: 0.4.1
@@ -6982,8 +6961,8 @@ packages:
       use-sidecar: 1.1.2(@types/react@18.3.11)(react@18.3.1)
     dev: false
 
-  /react-hook-form@7.58.1(react@18.3.1):
-    resolution: {integrity: sha512-Lml/KZYEEFfPhUVgE0RdCVpnC4yhW+PndRhbiTtdvSlQTL8IfVR+iQkBjLIvmmc6+GGoVeM11z37ktKFPAb0FA==}
+  /react-hook-form@7.56.1(react@18.3.1):
+    resolution: {integrity: sha512-qWAVokhSpshhcEuQDSANHx3jiAEFzu2HAaaQIzi/r9FNPm1ioAvuJSD4EuZzWd7Al7nTRKcKPnBKO7sRn+zavQ==}
     engines: {node: '>=18.0.0'}
     peerDependencies:
       react: ^16.8.0 || ^17 || ^18 || ^19
@@ -7001,8 +6980,8 @@ packages:
       react-dom: 18.3.1(react@18.3.1)
     dev: false
 
-  /react-i18next@15.5.3(i18next@25.2.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
-    resolution: {integrity: sha512-ypYmOKOnjqPEJZO4m1BI0kS8kWqkBNsKYyhVUfij0gvjy9xJNoG/VcGkxq5dRlVwzmrmY1BQMAmpbbUBLwC4Kw==}
+  /react-i18next@15.5.1(i18next@25.0.1)(react-dom@18.3.1)(react@18.3.1)(typescript@5.8.3):
+    resolution: {integrity: sha512-C8RZ7N7H0L+flitiX6ASjq9p5puVJU1Z8VyL3OgM/QOMRf40BMZX+5TkpxzZVcTmOLPX5zlti4InEX5pFyiVeA==}
     peerDependencies:
       i18next: '>= 23.2.3'
       react: '>= 16.8.0'
@@ -7017,9 +6996,9 @@ packages:
       typescript:
         optional: true
     dependencies:
-      '@babel/runtime': 7.27.6
+      '@babel/runtime': 7.27.0
       html-parse-stringify: 3.0.1
-      i18next: 25.2.1(typescript@5.8.3)
+      i18next: 25.0.1(typescript@5.8.3)
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
       typescript: 5.8.3
@@ -7129,8 +7108,8 @@ packages:
       use-sidecar: 1.1.3(@types/react@18.3.11)(react@18.3.1)
     dev: false
 
-  /react-resizable-panels@3.0.3(react-dom@18.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-7HA8THVBHTzhDK4ON0tvlGXyMAJN1zBeRpuyyremSikgYh2ku6ltD7tsGQOcXx4NKPrZtYCm/5CBr+dkruTGQw==}
+  /react-resizable-panels@2.1.8(react-dom@18.3.1)(react@18.3.1):
+    resolution: {integrity: sha512-oDvD0sw34Ecx00cQFLiRJpAE2fCgNLBr8DMrBzkrsaUiLpAycIQoY3eAWfMblDql3pTIMZ60wJ/P89RO1htM2w==}
     peerDependencies:
       react: ^16.14.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc
       react-dom: ^16.14.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc
@@ -7278,8 +7257,8 @@ packages:
       tslib: 2.8.1
     dev: false
 
-  /react-virtuoso@4.13.0(react-dom@18.3.1)(react@18.3.1):
-    resolution: {integrity: sha512-XHv2Fglpx80yFPdjZkV9d1baACKghg/ucpDFEXwaix7z0AfVQj+mF6lM+YQR6UC/TwzXG2rJKydRMb3+7iV3PA==}
+  /react-virtuoso@4.12.6(react-dom@18.3.1)(react@18.3.1):
+    resolution: {integrity: sha512-bfvS6aCL1ehXmq39KRiz/vxznGUbtA27I5I24TYCe1DhMf84O3aVNCIwrSjYQjkJGJGzY46ihdN8WkYlemuhMQ==}
     peerDependencies:
       react: '>=16 || >=17 || >= 18 || >= 19'
       react-dom: '>=16 || >=17 || >= 18 || >=19'
@@ -7775,8 +7754,8 @@ packages:
     resolution: {integrity: sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==}
     dev: true
 
-  /stable-hash@0.0.6:
-    resolution: {integrity: sha512-0afH4mobqTybYZsXImQRLOjHV4gvOW+92HdUIax9t7a8d9v54KWykEuMVIcXhD9BCi+w3kS4x7O6fmZQ3JlG/g==}
+  /stable-hash@0.0.5:
+    resolution: {integrity: sha512-+L3ccpzibovGXFK+Ap/f8LOS0ahMrHTf3xu7mMLSpEGU0EO9ucaysSylKo9eRDFNhWve/y275iPmIZ4z39a9iA==}
     dev: false
 
   /stack-generator@2.0.10:
@@ -8329,8 +8308,8 @@ packages:
       react: 18.3.1
     dev: false
 
-  /use-debounce@10.0.5(react@18.3.1):
-    resolution: {integrity: sha512-Q76E3lnIV+4YT9AHcrHEHYmAd9LKwUAbPXDm7FlqVGDHiSOhX3RDjT8dm0AxbJup6WgOb1YEcKyCr11kBJR5KQ==}
+  /use-debounce@10.0.4(react@18.3.1):
+    resolution: {integrity: sha512-6Cf7Yr7Wk7Kdv77nnJMf6de4HuDE4dTxKij+RqE9rufDsI6zsbjyAxcH5y2ueJCQAnfgKbzXbZHYlkFwmBlWkw==}
     engines: {node: '>= 16.0.0'}
     peerDependencies:
       react: '*'
@@ -8868,19 +8847,19 @@ packages:
     engines: {node: '>=10'}
     dev: true
 
-  /zod-validation-error@3.5.2(zod@3.25.67):
-    resolution: {integrity: sha512-mdi7YOLtram5dzJ5aDtm1AG9+mxRma1iaMrZdYIpFO7epdKBUwLHIxTF8CPDeCQ828zAXYtizrKlEJAtzgfgrw==}
+  /zod-validation-error@3.4.0(zod@3.24.3):
+    resolution: {integrity: sha512-ZOPR9SVY6Pb2qqO5XHt+MkkTRxGXb4EVtnjc9JpXUOtUB1T9Ru7mZOT361AN3MsetVe7R0a1KZshJDZdgp9miQ==}
     engines: {node: '>=18.0.0'}
     peerDependencies:
-      zod: ^3.25.0
+      zod: ^3.18.0
     dependencies:
-      zod: 3.25.67
+      zod: 3.24.3
 
-  /zod@3.25.67:
-    resolution: {integrity: sha512-idA2YXwpCdqUSKRCACDE6ItZD9TZzy3OZMtpfLoh6oPR47lipysRrJfjzMqFxQ3uJuUPyUeWe1r9vLH33xO/Qw==}
+  /zod@3.24.3:
+    resolution: {integrity: sha512-HhY1oqzWCQWuUqvBFnsyrtZRhyPeR7SUGv+C4+MsisMuVfSPx8HpwWqH8tRahSlt6M3PiFAcoeFhZAqIXTxoSg==}
 
-  /zustand@4.5.7(@types/react@18.3.11)(react@18.3.1):
-    resolution: {integrity: sha512-CHOUy7mu3lbD6o6LJLfllpjkzhHXSBlX8B9+qPddUsIfeF5S/UZ5q0kmCsnRqT1UHFQZchNFDDzMbQsuesHWlw==}
+  /zustand@4.5.6(@types/react@18.3.11)(react@18.3.1):
+    resolution: {integrity: sha512-ibr/n1hBzLLj5Y+yUcU7dYw8p6WnIVzdJbnX+1YpaScvZVF2ziugqHs+LAmHw4lWO9c/zRj+K1ncgWDQuthEdQ==}
     engines: {node: '>=12.7.0'}
     peerDependencies:
       '@types/react': '>=16.8'

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

@@ -2017,9 +2017,7 @@
         "resetGenerationSettings": "Reset Generation Settings",
         "replaceCurrent": "Replace Current",
         "controlLayerEmptyState": "<UploadButton>Upload an image</UploadButton>, drag an image from the <GalleryButton>gallery</GalleryButton> onto this layer, <PullBboxButton>pull the bounding box into this layer</PullBboxButton>, or draw on the canvas to get started.",
-        "referenceImageEmptyStateWithCanvasOptions": "<UploadButton>Upload an image</UploadButton>, drag an image from the <GalleryButton>gallery</GalleryButton> onto this Reference Image or <PullBboxButton>pull the bounding box into this Reference Image</PullBboxButton> to get started.",
-        "referenceImageEmptyState": "<UploadButton>Upload an image</UploadButton> or drag an image from the <GalleryButton>gallery</GalleryButton> onto this Reference Image to get started.",
-        "uploadOrDragAnImage": "Drag an image from the gallery or <UploadButton>upload an image</UploadButton>.",
+        "referenceImageEmptyState": "<UploadButton>Upload an image</UploadButton>, drag an image from the <GalleryButton>gallery</GalleryButton> onto this layer, or <PullBboxButton>pull the bounding box into this layer</PullBboxButton> to get started.",
         "imageNoise": "Image Noise",
         "denoiseLimit": "Denoise Limit",
         "warnings": {

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

@@ -3,7 +3,7 @@ import { useStore } from '@nanostores/react';
 import { GlobalHookIsolator } from 'app/components/GlobalHookIsolator';
 import { GlobalModalIsolator } from 'app/components/GlobalModalIsolator';
 import type { StudioInitAction } from 'app/hooks/useStudioInitAction';
-import { $globalIsLoading } from 'app/store/nanostores/globalIsLoading';
+import { $didStudioInit } from 'app/hooks/useStudioInitAction';
 import type { PartialAppConfig } from 'app/types/invokeai';
 import Loading from 'common/components/Loading/Loading';
 import { useClearStorage } from 'common/hooks/useClearStorage';
@@ -20,7 +20,7 @@ interface Props {
 }
 
 const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
-  const globalIsLoading = useStore($globalIsLoading);
+  const didStudioInit = useStore($didStudioInit);
   const clearStorage = useClearStorage();
 
   const handleReset = useCallback(() => {
@@ -33,7 +33,7 @@ const App = ({ config = DEFAULT_CONFIG, studioInitAction }: Props) => {
     <ErrorBoundary onReset={handleReset} FallbackComponent={AppErrorBoundaryFallback}>
       <Box id="invoke-app-wrapper" w="100dvw" h="100dvh" position="relative" overflow="hidden">
         <AppContent />
-        {globalIsLoading && <Loading />}
+        {!didStudioInit && <Loading />}
       </Box>
       <GlobalHookIsolator config={config} studioInitAction={studioInitAction} />
       <GlobalModalIsolator />

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

@@ -8,9 +8,7 @@ import { appStarted } from 'app/store/middleware/listenerMiddleware/listeners/ap
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import type { PartialAppConfig } from 'app/types/invokeai';
 import { useFocusRegionWatcher } from 'common/hooks/focus';
-import { useCloseChakraTooltipsOnDragFix } from 'common/hooks/useCloseChakraTooltipsOnDragFix';
 import { useGlobalHotkeys } from 'common/hooks/useGlobalHotkeys';
-import { size } from 'es-toolkit/compat';
 import { useDynamicPromptsWatcher } from 'features/dynamicPrompts/hooks/useDynamicPromptsWatcher';
 import { useStarterModelsToast } from 'features/modelManagerV2/hooks/useStarterModelsToast';
 import { useWorkflowBuilderWatcher } from 'features/nodes/components/sidePanel/workflow/IsolatedWorkflowBuilderWatcher';
@@ -18,13 +16,11 @@ import { useReadinessWatcher } from 'features/queue/store/readiness';
 import { configChanged } from 'features/system/store/configSlice';
 import { selectLanguage } from 'features/system/store/systemSelectors';
 import i18n from 'i18n';
+import { size } from 'lodash-es';
 import { memo, useEffect } from 'react';
 import { useGetOpenAPISchemaQuery } from 'services/api/endpoints/appInfo';
-import { useGetQueueCountsByDestinationQuery } from 'services/api/endpoints/queue';
 import { useSocketIO } from 'services/events/useSocketIO';
 
-const queueCountArg = { destination: 'canvas' };
-
 /**
  * GlobalHookIsolator is a logical component that runs global hooks in an isolated component, so that they do not
  * cause needless re-renders of any other components.
@@ -42,11 +38,6 @@ export const GlobalHookIsolator = memo(
     useGlobalHotkeys();
     useGetOpenAPISchemaQuery();
     useSyncLoggingConfig();
-    useCloseChakraTooltipsOnDragFix();
-
-    // Persistent subscription to the queue counts query - canvas relies on this to know if there are pending
-    // and/or in progress canvas sessions.
-    useGetQueueCountsByDestinationQuery(queueCountArg);
 
     useEffect(() => {
       i18n.changeLanguage(language);

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

@@ -7,13 +7,11 @@ import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors
 import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { memo } from 'react';
-import { useImageDTO } from 'services/api/endpoints/images';
 import type { ImageDTO } from 'services/api/types';
 
 export const GlobalImageHotkeys = memo(() => {
   useAssertSingleton('GlobalImageHotkeys');
-  const imageName = useAppSelector(selectLastSelectedImage);
-  const imageDTO = useImageDTO(imageName);
+  const imageDTO = useAppSelector(selectLastSelectedImage);
 
   if (!imageDTO) {
     return null;

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

@@ -6,7 +6,7 @@ import {
   NewGallerySessionDialog,
 } from 'features/controlLayers/components/NewSessionConfirmationAlertDialog';
 import { CanvasManagerProviderGate } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
-import { DeleteImageModal } from 'features/deleteImageModal/components/DeleteImageModal';
+import DeleteImageModal from 'features/deleteImageModal/components/DeleteImageModal';
 import { FullscreenDropzone } from 'features/dnd/FullscreenDropzone';
 import { DynamicPromptsModal } from 'features/dynamicPrompts/components/DynamicPromptsPreviewModal';
 import DeleteBoardModal from 'features/gallery/components/Boards/DeleteBoardModal';
@@ -15,7 +15,6 @@ import { ShareWorkflowModal } from 'features/nodes/components/sidePanel/workflow
 import { WorkflowLibraryModal } from 'features/nodes/components/sidePanel/workflow/WorkflowLibrary/WorkflowLibraryModal';
 import { CancelAllExceptCurrentQueueItemConfirmationAlertDialog } from 'features/queue/components/CancelAllExceptCurrentQueueItemConfirmationAlertDialog';
 import { ClearQueueConfirmationsAlertDialog } from 'features/queue/components/ClearQueueConfirmationAlertDialog';
-import { DeleteAllExceptCurrentQueueItemConfirmationAlertDialog } from 'features/queue/components/DeleteAllExceptCurrentQueueItemConfirmationAlertDialog';
 import { DeleteStylePresetDialog } from 'features/stylePresets/components/DeleteStylePresetDialog';
 import { StylePresetModal } from 'features/stylePresets/components/StylePresetForm/StylePresetModal';
 import RefreshAfterResetModal from 'features/system/components/SettingsModal/RefreshAfterResetModal';
@@ -40,7 +39,6 @@ export const GlobalModalIsolator = memo(() => {
       <StylePresetModal />
       <WorkflowLibraryModal />
       <CancelAllExceptCurrentQueueItemConfirmationAlertDialog />
-      <DeleteAllExceptCurrentQueueItemConfirmationAlertDialog />
       <ClearQueueConfirmationsAlertDialog />
       <NewWorkflowConfirmationAlertDialog />
       <LoadWorkflowConfirmationAlertDialog />

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

@@ -1,7 +1,6 @@
 import '@fontsource-variable/inter';
 import 'overlayscrollbars/overlayscrollbars.css';
 import '@xyflow/react/dist/base.css';
-import 'common/components/OverlayScrollbars/overlayscrollbars.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

@@ -3,10 +3,11 @@ import { useAppStore } from 'app/store/storeHooks';
 import { useAssertSingleton } from 'common/hooks/useAssertSingleton';
 import { withResultAsync } from 'common/util/result';
 import { canvasReset } from 'features/controlLayers/store/actions';
+import { settingsSendToCanvasChanged } from 'features/controlLayers/store/canvasSettingsSlice';
 import { rasterLayerAdded } from 'features/controlLayers/store/canvasSlice';
-import { paramsReset } from 'features/controlLayers/store/paramsSlice';
 import type { CanvasRasterLayerState } from 'features/controlLayers/store/types';
 import { imageDTOToImageObject } from 'features/controlLayers/store/util';
+import { $imageViewer } from 'features/gallery/components/ImageViewer/useImageViewer';
 import { sentImageToCanvas } from 'features/gallery/store/actions';
 import { parseAndRecallAllMetadata } from 'features/metadata/util/handlers';
 import { $hasTemplates } from 'features/nodes/store/nodesSlice';
@@ -92,7 +93,10 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
       };
       store.dispatch(canvasReset());
       store.dispatch(rasterLayerAdded({ overrides, isSelected: true }));
+      store.dispatch(settingsSendToCanvasChanged(true));
+      store.dispatch(setActiveTab('canvas'));
       store.dispatch(sentImageToCanvas());
+      $imageViewer.set(false);
       toast({
         title: t('toast.sentToCanvas'),
         status: 'info',
@@ -114,9 +118,9 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
         return;
       }
       const metadata = getImageMetadataResult.value;
-      store.dispatch(canvasReset());
       // This shows a toast
       await parseAndRecallAllMetadata(metadata, true);
+      store.dispatch(setActiveTab('canvas'));
     },
     [store, t]
   );
@@ -160,12 +164,16 @@ export const useStudioInitAction = (action?: StudioInitAction) => {
       switch (destination) {
         case 'generation':
           // Go to the canvas tab, open the image viewer, and enable send-to-gallery mode
-          store.dispatch(paramsReset());
+          store.dispatch(setActiveTab('canvas'));
           store.dispatch(activeTabCanvasRightPanelChanged('gallery'));
+          store.dispatch(settingsSendToCanvasChanged(false));
+          $imageViewer.set(true);
           break;
         case 'canvas':
           // Go to the canvas tab, close the image viewer, and disable send-to-gallery mode
-          store.dispatch(canvasReset());
+          store.dispatch(setActiveTab('canvas'));
+          store.dispatch(settingsSendToCanvasChanged(true));
+          $imageViewer.set(false);
           break;
         case 'workflows':
           // Go to the workflows tab

invokeai/frontend/web/src/app/logging/logger.ts

@@ -2,7 +2,7 @@ import { createLogWriter } from '@roarr/browser-log-writer';
 import { atom } from 'nanostores';
 import type { Logger, MessageSerializer } from 'roarr';
 import { ROARR, Roarr } from 'roarr';
-import { z } from 'zod/v4';
+import { z } from 'zod';
 
 const serializeMessage: MessageSerializer = (message) => {
   return JSON.stringify(message);

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

@@ -1,13 +1,13 @@
-import { objectEquals } from '@observ33r/object-equals';
 import { createDraftSafeSelectorCreator, createSelectorCreator, lruMemoize } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash-es';
 
 /**
- * A memoized selector creator that uses LRU cache and @observ33r/object-equals's objectEquals for equality check.
+ * A memoized selector creator that uses LRU cache and lodash's isEqual for equality check.
  */
 export const createMemoizedSelector = createSelectorCreator({
   memoize: lruMemoize,
   memoizeOptions: {
-    resultEqualityCheck: objectEquals,
+    resultEqualityCheck: isEqual,
   },
   argsMemoize: lruMemoize,
 });

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

@@ -8,13 +8,10 @@ import { diff } from 'jsondiffpatch';
  * Super simple logger middleware. Useful for debugging when the redux devtools are awkward.
  */
 export const getDebugLoggerMiddleware =
-  (options?: { filter?: (action: unknown) => boolean; withDiff?: boolean; withNextState?: boolean }): Middleware =>
+  (options?: { withDiff?: boolean; withNextState?: boolean }): Middleware =>
   (api: MiddlewareAPI) =>
   (next) =>
   (action) => {
-    if (options?.filter?.(action)) {
-      return next(action);
-    }
     const originalState = api.getState();
     console.log('REDUX: dispatching', action);
     const result = next(action);

invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts

@@ -1,6 +1,7 @@
 import type { TypedStartListening } from '@reduxjs/toolkit';
 import { addListener, createListenerMiddleware } from '@reduxjs/toolkit';
 import { addAdHocPostProcessingRequestedListener } from 'app/store/middleware/listenerMiddleware/listeners/addAdHocPostProcessingRequestedListener';
+import { addStagingListeners } from 'app/store/middleware/listenerMiddleware/listeners/addCommitStagingAreaImageListener';
 import { addAnyEnqueuedListener } from 'app/store/middleware/listenerMiddleware/listeners/anyEnqueued';
 import { addAppConfigReceivedListener } from 'app/store/middleware/listenerMiddleware/listeners/appConfigReceived';
 import { addAppStartedListener } from 'app/store/middleware/listenerMiddleware/listeners/appStarted';
@@ -9,9 +10,15 @@ import { addDeleteBoardAndImagesFulfilledListener } from 'app/store/middleware/l
 import { addBoardIdSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/boardIdSelected';
 import { addBulkDownloadListeners } from 'app/store/middleware/listenerMiddleware/listeners/bulkDownload';
 import { addEnqueueRequestedLinear } from 'app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear';
+import { addGalleryImageClickedListener } from 'app/store/middleware/listenerMiddleware/listeners/galleryImageClicked';
+import { addGalleryOffsetChangedListener } from 'app/store/middleware/listenerMiddleware/listeners/galleryOffsetChanged';
 import { addGetOpenAPISchemaListener } from 'app/store/middleware/listenerMiddleware/listeners/getOpenAPISchema';
 import { addImageAddedToBoardFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageAddedToBoard';
+import { addImageDeletionListeners } from 'app/store/middleware/listenerMiddleware/listeners/imageDeletionListeners';
 import { addImageRemovedFromBoardFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageRemovedFromBoard';
+import { addImagesStarredListener } from 'app/store/middleware/listenerMiddleware/listeners/imagesStarred';
+import { addImagesUnstarredListener } from 'app/store/middleware/listenerMiddleware/listeners/imagesUnstarred';
+import { addImageToDeleteSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected';
 import { addImageUploadedFulfilledListener } from 'app/store/middleware/listenerMiddleware/listeners/imageUploaded';
 import { addModelSelectedListener } from 'app/store/middleware/listenerMiddleware/listeners/modelSelected';
 import { addModelsLoadedListener } from 'app/store/middleware/listenerMiddleware/listeners/modelsLoaded';
@@ -40,7 +47,17 @@ export const addAppListener = addListener.withTypes<RootState, AppDispatch>();
 addImageUploadedFulfilledListener(startAppListening);
 
 // Image deleted
+addImageDeletionListeners(startAppListening);
 addDeleteBoardAndImagesFulfilledListener(startAppListening);
+addImageToDeleteSelectedListener(startAppListening);
+
+// Image starred
+addImagesStarredListener(startAppListening);
+addImagesUnstarredListener(startAppListening);
+
+// Gallery
+addGalleryImageClickedListener(startAppListening);
+addGalleryOffsetChangedListener(startAppListening);
 
 // User Invoked
 addEnqueueRequestedLinear(startAppListening);
@@ -48,6 +65,9 @@ addEnqueueRequestedUpscale(startAppListening);
 addAnyEnqueuedListener(startAppListening);
 addBatchEnqueuedListener(startAppListening);
 
+// Canvas actions
+addStagingListeners(startAppListening);
+
 // Socket.IO
 addSocketConnectedEventListener(startAppListening);
 

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

@@ -25,7 +25,7 @@ export const addArchivedOrDeletedBoardListener = (startAppListening: AppStartLis
     matcher: matchAnyBoardDeleted,
     effect: (action, { dispatch, getState }) => {
       const state = getState();
-      const deletedBoardId = action.meta.arg.originalArgs.board_id;
+      const deletedBoardId = action.meta.arg.originalArgs;
       const { autoAddBoardId, selectedBoardId } = state.gallery;
 
       // If the deleted board was currently selected, we should reset the selected board to uncategorized

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

@@ -0,0 +1,46 @@
+import { isAnyOf } from '@reduxjs/toolkit';
+import { logger } from 'app/logging/logger';
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { canvasReset, newSessionRequested } from 'features/controlLayers/store/actions';
+import { stagingAreaReset } from 'features/controlLayers/store/canvasStagingAreaSlice';
+import { toast } from 'features/toast/toast';
+import { t } from 'i18next';
+import { queueApi } from 'services/api/endpoints/queue';
+
+const log = logger('canvas');
+
+const matchCanvasOrStagingAreaReset = isAnyOf(stagingAreaReset, canvasReset, newSessionRequested);
+
+export const addStagingListeners = (startAppListening: AppStartListening) => {
+  startAppListening({
+    matcher: matchCanvasOrStagingAreaReset,
+    effect: async (_, { dispatch }) => {
+      try {
+        const req = dispatch(
+          queueApi.endpoints.cancelByBatchDestination.initiate(
+            { destination: 'canvas' },
+            { fixedCacheKey: 'cancelByBatchOrigin' }
+          )
+        );
+        const { canceled } = await req.unwrap();
+        req.reset();
+
+        if (canceled > 0) {
+          log.debug(`Canceled ${canceled} canvas batches`);
+          toast({
+            id: 'CANCEL_BATCH_SUCCEEDED',
+            title: t('queue.cancelBatchSucceeded'),
+            status: 'success',
+          });
+        }
+      } catch {
+        log.error('Failed to cancel canvas batches');
+        toast({
+          id: 'CANCEL_BATCH_FAILED',
+          title: t('queue.cancelBatchFailed'),
+          status: 'error',
+        });
+      }
+    },
+  });
+};

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

@@ -1,29 +1,15 @@
 import { createAction } from '@reduxjs/toolkit';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors';
-import { imageSelected } from 'features/gallery/store/gallerySlice';
-import { imagesApi } from 'services/api/endpoints/images';
 
 export const appStarted = createAction('app/appStarted');
 
 export const addAppStartedListener = (startAppListening: AppStartListening) => {
   startAppListening({
     actionCreator: appStarted,
-    effect: async (action, { unsubscribe, cancelActiveListeners, take, getState, dispatch }) => {
+    effect: (action, { unsubscribe, cancelActiveListeners }) => {
       // this should only run once
       cancelActiveListeners();
       unsubscribe();
-
-      // ensure an image is selected when we load the first board
-      const firstImageLoad = await take(imagesApi.endpoints.getImageNames.matchFulfilled);
-      if (firstImageLoad !== null) {
-        const [{ payload }] = firstImageLoad;
-        const selectedImage = selectLastSelectedImage(getState());
-        if (selectedImage) {
-          return;
-        }
-        dispatch(imageSelected(payload.image_names.at(0) ?? null));
-      }
     },
   });
 };

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

@@ -1,9 +1,9 @@
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { truncate } from 'es-toolkit/compat';
 import { zPydanticValidationError } from 'features/system/store/zodSchemas';
 import { toast } from 'features/toast/toast';
 import { t } from 'i18next';
+import { truncate } from 'lodash-es';
 import { serializeError } from 'serialize-error';
 import { queueApi } from 'services/api/endpoints/queue';
 import type { JsonObject } from 'type-fest';

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

@@ -1,7 +1,6 @@
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { selectRefImagesSlice } from 'features/controlLayers/store/refImagesSlice';
 import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { getImageUsage } from 'features/deleteImageModal/store/state';
+import { getImageUsage } from 'features/deleteImageModal/store/selectors';
 import { nodeEditorReset } from 'features/nodes/store/nodesSlice';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
 import { selectUpscaleSlice } from 'features/parameters/store/upscaleSlice';
@@ -21,10 +20,9 @@ export const addDeleteBoardAndImagesFulfilledListener = (startAppListening: AppS
       const nodes = selectNodesSlice(state);
       const canvas = selectCanvasSlice(state);
       const upscale = selectUpscaleSlice(state);
-      const refImages = selectRefImagesSlice(state);
 
       deleted_images.forEach((image_name) => {
-        const imageUsage = getImageUsage(nodes, canvas, upscale, refImages, image_name);
+        const imageUsage = getImageUsage(nodes, canvas, upscale, image_name);
 
         if (imageUsage.isNodesImage && !wasNodeEditorReset) {
           dispatch(nodeEditorReset());

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

@@ -1,6 +1,6 @@
 import { isAnyOf } from '@reduxjs/toolkit';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
-import { selectListImageNamesQueryArgs, selectSelectedBoardId } from 'features/gallery/store/gallerySelectors';
+import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
 import { boardIdSelected, galleryViewChanged, imageSelected } from 'features/gallery/store/gallerySlice';
 import { imagesApi } from 'services/api/endpoints/images';
 
@@ -11,35 +11,36 @@ export const addBoardIdSelectedListener = (startAppListening: AppStartListening)
       // Cancel any in-progress instances of this listener, we don't want to select an image from a previous board
       cancelActiveListeners();
 
-      if (boardIdSelected.match(action) && action.payload.selectedImageName) {
-        // This action already has a selected image name, we trust it is valid
-        return;
-      }
-
       const state = getState();
 
-      const board_id = selectSelectedBoardId(state);
-
-      const queryArgs = { ...selectListImageNamesQueryArgs(state), board_id };
+      const queryArgs = selectListImagesQueryArgs(state);
 
       // wait until the board has some images - maybe it already has some from a previous fetch
       // must use getState() to ensure we do not have stale state
       const isSuccess = await condition(
-        () => imagesApi.endpoints.getImageNames.select(queryArgs)(getState()).isSuccess,
+        () => imagesApi.endpoints.listImages.select(queryArgs)(getState()).isSuccess,
         5000
       );
 
-      if (!isSuccess) {
+      if (isSuccess) {
+        // the board was just changed - we can select the first image
+        const { data: boardImagesData } = imagesApi.endpoints.listImages.select(queryArgs)(getState());
+
+        if (boardImagesData && boardIdSelected.match(action) && action.payload.selectedImageName) {
+          const selectedImage = boardImagesData.items.find(
+            (item) => item.image_name === action.payload.selectedImageName
+          );
+          dispatch(imageSelected(selectedImage || null));
+        } else if (boardImagesData) {
+          dispatch(imageSelected(boardImagesData.items[0] || null));
+        } else {
+          // board has no images - deselect
+          dispatch(imageSelected(null));
+        }
+      } else {
+        // fallback - deselect
         dispatch(imageSelected(null));
-        return;
       }
-
-      // the board was just changed - we can select the first image
-      const imageNames = imagesApi.endpoints.getImageNames.select(queryArgs)(getState()).data?.image_names;
-
-      const imageToSelect = imageNames?.at(0) ?? null;
-
-      dispatch(imageSelected(imageToSelect));
     },
   });
 };

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

@@ -5,12 +5,6 @@ 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 {
-  canvasSessionIdCreated,
-  generateSessionIdCreated,
-  selectCanvasSessionId,
-  selectGenerateSessionId,
-} from 'features/controlLayers/store/canvasStagingAreaSlice';
 import { $canvasManager } from 'features/controlLayers/store/ephemeral';
 import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatchConfig';
 import { buildChatGPT4oGraph } from 'features/nodes/util/graph/generation/buildChatGPT4oGraph';
@@ -24,7 +18,6 @@ import { buildSD3Graph } from 'features/nodes/util/graph/generation/buildSD3Grap
 import { buildSDXLGraph } from 'features/nodes/util/graph/generation/buildSDXLGraph';
 import { UnsupportedGenerationModeError } from 'features/nodes/util/graph/types';
 import { toast } from 'features/toast/toast';
-import { selectActiveTab } from 'features/ui/store/uiSelectors';
 import { serializeError } from 'serialize-error';
 import { enqueueMutationFixedCacheKeyOptions, queueApi } from 'services/api/endpoints/queue';
 import { assert, AssertionError } from 'tsafe';
@@ -38,34 +31,11 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
     actionCreator: enqueueRequestedCanvas,
     effect: async (action, { getState, dispatch }) => {
       log.debug('Enqueue requested');
-
-      const tab = selectActiveTab(getState());
-      let sessionId = null;
-      if (tab === 'generate') {
-        sessionId = selectGenerateSessionId(getState());
-        if (!sessionId) {
-          dispatch(generateSessionIdCreated());
-          sessionId = selectGenerateSessionId(getState());
-        }
-      } else if (tab === 'canvas') {
-        sessionId = selectCanvasSessionId(getState());
-        if (!sessionId) {
-          dispatch(canvasSessionIdCreated());
-          sessionId = selectCanvasSessionId(getState());
-        }
-      } else {
-        log.warn(`Enqueue requested in unsupported tab ${tab}`);
-        return;
-      }
-
       const state = getState();
-      const destination = sessionId;
-      assert(destination !== null);
-
       const { prepend } = action.payload;
 
       const manager = $canvasManager.get();
-      // assert(manager, 'No canvas manager');
+      assert(manager, 'No canvas manager');
 
       const model = state.params.model;
       assert(model, 'No model found in state');
@@ -120,6 +90,8 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
 
       const { g, seedFieldIdentifier, positivePromptFieldIdentifier } = buildGraphResult.value;
 
+      const destination = state.canvasSettings.sendToCanvas ? 'canvas' : 'gallery';
+
       const prepareBatchResult = withResult(() =>
         prepareLinearUIBatch({
           state,
@@ -127,7 +99,7 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening)
           prepend,
           seedFieldIdentifier,
           positivePromptFieldIdentifier,
-          origin: tab,
+          origin: 'canvas',
           destination,
         })
       );

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

@@ -0,0 +1,73 @@
+import { createAction } from '@reduxjs/toolkit';
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
+import { imageToCompareChanged, selectionChanged } from 'features/gallery/store/gallerySlice';
+import { imagesApi } from 'services/api/endpoints/images';
+import type { ImageDTO } from 'services/api/types';
+
+export const galleryImageClicked = createAction<{
+  imageDTO: ImageDTO;
+  shiftKey: boolean;
+  ctrlKey: boolean;
+  metaKey: boolean;
+  altKey: boolean;
+}>('gallery/imageClicked');
+
+/**
+ * This listener handles the logic for selecting images in the gallery.
+ *
+ * Previously, this logic was in a `useCallback` with the whole gallery selection as a dependency. Every time
+ * the selection changed, the callback got recreated and all images rerendered. This could easily block for
+ * hundreds of ms, more for lower end devices.
+ *
+ * Moving this logic into a listener means we don't need to recalculate anything dynamically and the gallery
+ * is much more responsive.
+ */
+
+export const addGalleryImageClickedListener = (startAppListening: AppStartListening) => {
+  startAppListening({
+    actionCreator: galleryImageClicked,
+    effect: (action, { dispatch, getState }) => {
+      const { imageDTO, shiftKey, ctrlKey, metaKey, altKey } = action.payload;
+      const state = getState();
+      const queryArgs = selectListImagesQueryArgs(state);
+      const queryResult = imagesApi.endpoints.listImages.select(queryArgs)(state);
+
+      if (!queryResult.data) {
+        // Should never happen if we have clicked a gallery image
+        return;
+      }
+
+      const imageDTOs = queryResult.data.items;
+      const selection = state.gallery.selection;
+
+      if (altKey) {
+        if (state.gallery.imageToCompare?.image_name === imageDTO.image_name) {
+          dispatch(imageToCompareChanged(null));
+        } else {
+          dispatch(imageToCompareChanged(imageDTO));
+        }
+      } else if (shiftKey) {
+        const rangeEndImageName = imageDTO.image_name;
+        const lastSelectedImage = selection[selection.length - 1]?.image_name;
+        const lastClickedIndex = imageDTOs.findIndex((n) => n.image_name === lastSelectedImage);
+        const currentClickedIndex = imageDTOs.findIndex((n) => n.image_name === rangeEndImageName);
+        if (lastClickedIndex > -1 && currentClickedIndex > -1) {
+          // We have a valid range!
+          const start = Math.min(lastClickedIndex, currentClickedIndex);
+          const end = Math.max(lastClickedIndex, currentClickedIndex);
+          const imagesToSelect = imageDTOs.slice(start, end + 1);
+          dispatch(selectionChanged(selection.concat(imagesToSelect)));
+        }
+      } else if (ctrlKey || metaKey) {
+        if (selection.some((i) => i.image_name === imageDTO.image_name) && selection.length > 1) {
+          dispatch(selectionChanged(selection.filter((n) => n.image_name !== imageDTO.image_name)));
+        } else {
+          dispatch(selectionChanged(selection.concat(imageDTO)));
+        }
+      } else {
+        dispatch(selectionChanged([imageDTO]));
+      }
+    },
+  });
+};

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

@@ -0,0 +1,119 @@
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { selectListImagesQueryArgs } from 'features/gallery/store/gallerySelectors';
+import { imageToCompareChanged, offsetChanged, selectionChanged } from 'features/gallery/store/gallerySlice';
+import { imagesApi } from 'services/api/endpoints/images';
+
+export const addGalleryOffsetChangedListener = (startAppListening: AppStartListening) => {
+  /**
+   * When the user changes pages in the gallery, we need to wait until the next page of images is loaded, then maybe
+   * update the selection.
+   *
+   * There are a three scenarios:
+   *
+   * 1. The page is changed by clicking the pagination buttons. No changes to selection are needed.
+   *
+   * 2. The page is changed by using the arrow keys (without alt).
+   * - When going backwards, select the last image.
+   * - When going forwards, select the first image.
+   *
+   * 3. The page is changed by using the arrows keys with alt. This means the user is changing the comparison image.
+   * - When going backwards, select the last image _as the comparison image_.
+   * - When going forwards, select the first image _as the comparison image_.
+   */
+  startAppListening({
+    actionCreator: offsetChanged,
+    effect: async (action, { dispatch, getState, getOriginalState, take, cancelActiveListeners }) => {
+      // Cancel any active listeners to prevent the selection from changing without user input
+      cancelActiveListeners();
+
+      const { withHotkey } = action.payload;
+
+      if (!withHotkey) {
+        // User changed pages by clicking the pagination buttons - no changes to selection
+        return;
+      }
+
+      const originalState = getOriginalState();
+      const prevOffset = originalState.gallery.offset;
+      const offset = getState().gallery.offset;
+
+      if (offset === prevOffset) {
+        // The page didn't change - bail
+        return;
+      }
+
+      /**
+       * We need to wait until the next page of images is loaded before updating the selection, so we use the correct
+       * page of images.
+       *
+       * The simplest way to do it would be to use `take` to wait for the next fulfilled action, but RTK-Q doesn't
+       * dispatch an action on cache hits. This means the `take` will only return if the cache is empty. If the user
+       * changes to a cached page - a common situation - the `take` will never resolve.
+       *
+       * So we need to take a two-step approach. First, check if we have data in the cache for the page of images. If
+       * we have data cached, use it to update the selection. If we don't have data cached, wait for the next fulfilled
+       * action, which updates the cache, then use the cache to update the selection.
+       */
+
+      // Check if we have data in the cache for the page of images
+      const queryArgs = selectListImagesQueryArgs(getState());
+      let { data } = imagesApi.endpoints.listImages.select(queryArgs)(getState());
+
+      // No data yet - wait for the network request to complete
+      if (!data) {
+        const takeResult = await take(imagesApi.endpoints.listImages.matchFulfilled, 5000);
+        if (!takeResult) {
+          // The request didn't complete in time - bail
+          return;
+        }
+        data = takeResult[0].payload;
+      }
+
+      // We awaited a network request - state could have changed, get fresh state
+      const state = getState();
+      const { selection, imageToCompare } = state.gallery;
+      const imageDTOs = data?.items;
+
+      if (!imageDTOs) {
+        // The page didn't load - bail
+        return;
+      }
+
+      if (withHotkey === 'arrow') {
+        // User changed pages by using the arrow keys - selection changes to first or last image depending
+        if (offset < prevOffset) {
+          // We've gone backwards
+          const lastImage = imageDTOs[imageDTOs.length - 1];
+          if (!selection.some((selectedImage) => selectedImage.image_name === lastImage?.image_name)) {
+            dispatch(selectionChanged(lastImage ? [lastImage] : []));
+          }
+        } else {
+          // We've gone forwards
+          const firstImage = imageDTOs[0];
+          if (!selection.some((selectedImage) => selectedImage.image_name === firstImage?.image_name)) {
+            dispatch(selectionChanged(firstImage ? [firstImage] : []));
+          }
+        }
+        return;
+      }
+
+      if (withHotkey === 'alt+arrow') {
+        // User changed pages by using the arrow keys with alt - comparison image changes to first or last depending
+        if (offset < prevOffset) {
+          // We've gone backwards
+          const lastImage = imageDTOs[imageDTOs.length - 1];
+          if (lastImage && imageToCompare?.image_name !== lastImage.image_name) {
+            dispatch(imageToCompareChanged(lastImage));
+          }
+        } else {
+          // We've gone forwards
+          const firstImage = imageDTOs[0];
+          if (firstImage && imageToCompare?.image_name !== firstImage.image_name) {
+            dispatch(imageToCompareChanged(firstImage));
+          }
+        }
+        return;
+      }
+    },
+  });
+};

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

@@ -1,9 +1,9 @@
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import { parseify } from 'common/util/serialize';
-import { size } from 'es-toolkit/compat';
 import { $templates } from 'features/nodes/store/nodesSlice';
 import { parseSchema } from 'features/nodes/util/schema/parseSchema';
+import { size } from 'lodash-es';
 import { serializeError } from 'serialize-error';
 import { appInfoApi } from 'services/api/endpoints/appInfo';
 import type { JsonObject } from 'type-fest';

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

@@ -8,16 +8,16 @@ export const addImageAddedToBoardFulfilledListener = (startAppListening: AppStar
   startAppListening({
     matcher: imagesApi.endpoints.addImageToBoard.matchFulfilled,
     effect: (action) => {
-      const { board_id, image_name } = action.meta.arg.originalArgs;
-      log.debug({ board_id, image_name }, 'Image added to board');
+      const { board_id, imageDTO } = action.meta.arg.originalArgs;
+      log.debug({ board_id, imageDTO }, 'Image added to board');
     },
   });
 
   startAppListening({
     matcher: imagesApi.endpoints.addImageToBoard.matchRejected,
     effect: (action) => {
-      const { board_id, image_name } = action.meta.arg.originalArgs;
-      log.debug({ board_id, image_name }, 'Problem adding image to board');
+      const { board_id, imageDTO } = action.meta.arg.originalArgs;
+      log.debug({ board_id, imageDTO }, 'Problem adding image to board');
     },
   });
 };

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

@@ -0,0 +1,221 @@
+import { logger } from 'app/logging/logger';
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import type { AppDispatch, RootState } from 'app/store/store';
+import { entityDeleted, referenceImageIPAdapterImageChanged } from 'features/controlLayers/store/canvasSlice';
+import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
+import { getEntityIdentifier } from 'features/controlLayers/store/types';
+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 { 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');
+
+//TODO(psyche): handle image deletion (canvas staging area?)
+
+// 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;
+    }
+
+    forEach(node.data.inputs, (input) => {
+      if (isImageFieldInputInstance(input) && input.value?.image_name === imageDTO.image_name) {
+        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) => {
+  selectCanvasSlice(state).controlLayers.entities.forEach(({ id, objects }) => {
+    let shouldDelete = false;
+    for (const obj of objects) {
+      if (obj.type === 'image' && obj.image.image_name === imageDTO.image_name) {
+        shouldDelete = true;
+        break;
+      }
+    }
+    if (shouldDelete) {
+      dispatch(entityDeleted({ entityIdentifier: { id, type: 'control_layer' } }));
+    }
+  });
+};
+
+const deleteReferenceImages = (state: RootState, dispatch: AppDispatch, imageDTO: ImageDTO) => {
+  selectCanvasSlice(state).referenceImages.entities.forEach((entity) => {
+    if (entity.ipAdapter.image?.image_name === imageDTO.image_name) {
+      dispatch(referenceImageIPAdapterImageChanged({ entityIdentifier: getEntityIdentifier(entity), imageDTO: null }));
+    }
+  });
+};
+
+const deleteRasterLayerImages = (state: RootState, dispatch: AppDispatch, imageDTO: ImageDTO) => {
+  selectCanvasSlice(state).rasterLayers.entities.forEach(({ id, objects }) => {
+    let shouldDelete = false;
+    for (const obj of objects) {
+      if (obj.type === 'image' && obj.image.image_name === imageDTO.image_name) {
+        shouldDelete = true;
+        break;
+      }
+    }
+    if (shouldDelete) {
+      dispatch(entityDeleted({ entityIdentifier: { id, type: 'raster_layer' } }));
+    }
+  });
+};
+
+export const addImageDeletionListeners = (startAppListening: AppStartListening) => {
+  // Handle single image deletion
+  startAppListening({
+    actionCreator: imageDeletionConfirmed,
+    effect: async (action, { dispatch, getState }) => {
+      const { imageDTOs, imagesUsage } = action.payload;
+
+      if (imageDTOs.length !== 1 || imagesUsage.length !== 1) {
+        // handle multiples in separate listener
+        return;
+      }
+
+      const imageDTO = imageDTOs[0];
+      const imageUsage = imagesUsage[0];
+
+      if (!imageDTO || !imageUsage) {
+        // satisfy noUncheckedIndexedAccess
+        return;
+      }
+
+      try {
+        const state = getState();
+        await dispatch(imagesApi.endpoints.deleteImage.initiate(imageDTO)).unwrap();
+
+        if (state.gallery.selection.some((i) => i.image_name === imageDTO.image_name)) {
+          // The deleted image was a selected image, we need to select the next image
+          const newSelection = state.gallery.selection.filter((i) => i.image_name !== imageDTO.image_name);
+
+          if (newSelection.length > 0) {
+            return;
+          }
+
+          // Get the current list of images and select the same index
+          const baseQueryArgs = selectListImagesQueryArgs(state);
+          const data = imagesApi.endpoints.listImages.select(baseQueryArgs)(state).data;
+
+          if (data) {
+            const deletedImageIndex = data.items.findIndex((i) => i.image_name === imageDTO.image_name);
+            const nextImage = data.items[deletedImageIndex + 1] ?? data.items[0] ?? null;
+            if (nextImage?.image_name === imageDTO.image_name) {
+              // If the next image is the same as the deleted one, it means it was the last image, reset selection
+              dispatch(imageSelected(null));
+            } else {
+              dispatch(imageSelected(nextImage));
+            }
+          }
+        }
+
+        deleteNodesImages(state, dispatch, imageDTO);
+        deleteReferenceImages(state, dispatch, imageDTO);
+        deleteRasterLayerImages(state, dispatch, imageDTO);
+        deleteControlLayerImages(state, dispatch, imageDTO);
+      } catch {
+        // no-op
+      } finally {
+        dispatch(isModalOpenChanged(false));
+      }
+    },
+  });
+
+  // Handle multiple image deletion
+  startAppListening({
+    actionCreator: imageDeletionConfirmed,
+    effect: async (action, { dispatch, getState }) => {
+      const { imageDTOs, imagesUsage } = action.payload;
+
+      if (imageDTOs.length <= 1 || imagesUsage.length <= 1) {
+        // handle singles in separate listener
+        return;
+      }
+
+      try {
+        const state = getState();
+        await dispatch(imagesApi.endpoints.deleteImages.initiate({ imageDTOs })).unwrap();
+
+        if (intersectionBy(state.gallery.selection, imageDTOs, 'image_name').length > 0) {
+          // Some selected images were deleted, need to select the next image
+          const queryArgs = selectListImagesQueryArgs(state);
+          const { data } = imagesApi.endpoints.listImages.select(queryArgs)(state);
+          if (data) {
+            // When we delete multiple images, we clear the selection. Then, the the next time we load images, we will
+            // select the first one. This is handled below in the listener for `imagesApi.endpoints.listImages.matchFulfilled`.
+            dispatch(imageSelected(null));
+          }
+        }
+
+        // We need to reset the features where the image is in use - none of these work if their image(s) don't exist
+
+        imageDTOs.forEach((imageDTO) => {
+          deleteNodesImages(state, dispatch, imageDTO);
+          deleteControlLayerImages(state, dispatch, imageDTO);
+          deleteReferenceImages(state, dispatch, imageDTO);
+          deleteRasterLayerImages(state, dispatch, imageDTO);
+        });
+      } catch {
+        // no-op
+      } finally {
+        dispatch(isModalOpenChanged(false));
+      }
+    },
+  });
+
+  // When we list images, if no images is selected, select the first one.
+  startAppListening({
+    matcher: imagesApi.endpoints.listImages.matchFulfilled,
+    effect: (action, { dispatch, getState }) => {
+      const selection = getState().gallery.selection;
+      if (selection.length === 0) {
+        dispatch(imageSelected(action.payload.items[0] ?? null));
+      }
+    },
+  });
+
+  startAppListening({
+    matcher: imagesApi.endpoints.deleteImage.matchFulfilled,
+    effect: (action) => {
+      log.debug({ imageDTO: action.meta.arg.originalArgs }, 'Image deleted');
+    },
+  });
+
+  startAppListening({
+    matcher: imagesApi.endpoints.deleteImage.matchRejected,
+    effect: (action) => {
+      log.debug({ imageDTO: action.meta.arg.originalArgs }, 'Unable to delete image');
+    },
+  });
+};

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

@@ -0,0 +1,32 @@
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions';
+import { selectImageUsage } from 'features/deleteImageModal/store/selectors';
+import { imagesToDeleteSelected, isModalOpenChanged } from 'features/deleteImageModal/store/slice';
+
+export const addImageToDeleteSelectedListener = (startAppListening: AppStartListening) => {
+  startAppListening({
+    actionCreator: imagesToDeleteSelected,
+    effect: (action, { dispatch, getState }) => {
+      const imageDTOs = action.payload;
+      const state = getState();
+      const { shouldConfirmOnDelete } = state.system;
+      const imagesUsage = selectImageUsage(getState());
+
+      const isImageInUse =
+        imagesUsage.some((i) => i.isRasterLayerImage) ||
+        imagesUsage.some((i) => i.isControlLayerImage) ||
+        imagesUsage.some((i) => i.isReferenceImage) ||
+        imagesUsage.some((i) => i.isInpaintMaskImage) ||
+        imagesUsage.some((i) => i.isUpscaleImage) ||
+        imagesUsage.some((i) => i.isNodesImage) ||
+        imagesUsage.some((i) => i.isRegionalGuidanceImage);
+
+      if (shouldConfirmOnDelete || isImageInUse) {
+        dispatch(isModalOpenChanged(true));
+        return;
+      }
+
+      dispatch(imageDeletionConfirmed({ imageDTOs, imagesUsage }));
+    },
+  });
+};

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

@@ -2,12 +2,12 @@ import { isAnyOf } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import type { RootState } from 'app/store/store';
-import { omit } from 'es-toolkit/compat';
 import { imageUploadedClientSide } from 'features/gallery/store/actions';
 import { selectListBoardsQueryArgs } from 'features/gallery/store/gallerySelectors';
 import { boardIdSelected, galleryViewChanged } from 'features/gallery/store/gallerySlice';
 import { toast } from 'features/toast/toast';
 import { t } from 'i18next';
+import { omit } from 'lodash-es';
 import { boardsApi } from 'services/api/endpoints/boards';
 import { imagesApi } from 'services/api/endpoints/images';
 import type { ImageDTO } from 'services/api/types';

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

@@ -0,0 +1,30 @@
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { selectionChanged } from 'features/gallery/store/gallerySlice';
+import { imagesApi } from 'services/api/endpoints/images';
+import type { ImageDTO } from 'services/api/types';
+
+export const addImagesStarredListener = (startAppListening: AppStartListening) => {
+  startAppListening({
+    matcher: imagesApi.endpoints.starImages.matchFulfilled,
+    effect: (action, { dispatch, getState }) => {
+      const { updated_image_names: starredImages } = action.payload;
+
+      const state = getState();
+
+      const { selection } = state.gallery;
+      const updatedSelection: ImageDTO[] = [];
+
+      selection.forEach((selectedImageDTO) => {
+        if (starredImages.includes(selectedImageDTO.image_name)) {
+          updatedSelection.push({
+            ...selectedImageDTO,
+            starred: true,
+          });
+        } else {
+          updatedSelection.push(selectedImageDTO);
+        }
+      });
+      dispatch(selectionChanged(updatedSelection));
+    },
+  });
+};

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

@@ -0,0 +1,30 @@
+import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
+import { selectionChanged } from 'features/gallery/store/gallerySlice';
+import { imagesApi } from 'services/api/endpoints/images';
+import type { ImageDTO } from 'services/api/types';
+
+export const addImagesUnstarredListener = (startAppListening: AppStartListening) => {
+  startAppListening({
+    matcher: imagesApi.endpoints.unstarImages.matchFulfilled,
+    effect: (action, { dispatch, getState }) => {
+      const { updated_image_names: unstarredImages } = action.payload;
+
+      const state = getState();
+
+      const { selection } = state.gallery;
+      const updatedSelection: ImageDTO[] = [];
+
+      selection.forEach((selectedImageDTO) => {
+        if (unstarredImages.includes(selectedImageDTO.image_name)) {
+          updatedSelection.push({
+            ...selectedImageDTO,
+            starred: false,
+          });
+        } else {
+          updatedSelection.push(selectedImageDTO);
+        }
+      });
+      dispatch(selectionChanged(updatedSelection));
+    },
+  });
+};

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

@@ -1,7 +1,11 @@
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import type { AppDispatch, RootState } from 'app/store/store';
-import { controlLayerModelChanged, rgRefImageModelChanged } from 'features/controlLayers/store/canvasSlice';
+import {
+  controlLayerModelChanged,
+  referenceImageIPAdapterModelChanged,
+  rgIPAdapterModelChanged,
+} from 'features/controlLayers/store/canvasSlice';
 import { loraDeleted } from 'features/controlLayers/store/lorasSlice';
 import {
   clipEmbedModelSelected,
@@ -11,9 +15,8 @@ import {
   t5EncoderModelSelected,
   vaeSelected,
 } from 'features/controlLayers/store/paramsSlice';
-import { refImageModelChanged, selectRefImagesSlice } from 'features/controlLayers/store/refImagesSlice';
 import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { getEntityIdentifier, isFLUXReduxConfig, isIPAdapterConfig } from 'features/controlLayers/store/types';
+import { getEntityIdentifier } from 'features/controlLayers/store/types';
 import { modelSelected } from 'features/parameters/store/actions';
 import { postProcessingModelChanged, upscaleModelChanged } from 'features/parameters/store/upscaleSlice';
 import {
@@ -207,12 +210,12 @@ const handleControlAdapterModels: ModelHandler = (models, state, dispatch, log)
 
 const handleIPAdapterModels: ModelHandler = (models, state, dispatch, log) => {
   const ipaModels = models.filter(isIPAdapterModelConfig);
-  selectRefImagesSlice(state).entities.forEach((entity) => {
-    if (!isIPAdapterConfig(entity.config)) {
+  selectCanvasSlice(state).referenceImages.entities.forEach((entity) => {
+    if (entity.ipAdapter.type !== 'ip_adapter') {
       return;
     }
 
-    const selectedIPAdapterModel = entity.config.model;
+    const selectedIPAdapterModel = entity.ipAdapter.model;
     // `null` is a valid IP adapter model - no need to do anything.
     if (!selectedIPAdapterModel) {
       return;
@@ -222,16 +225,16 @@ const handleIPAdapterModels: ModelHandler = (models, state, dispatch, log) => {
       return;
     }
     log.debug({ selectedIPAdapterModel }, 'Selected IP adapter model is not available, clearing');
-    dispatch(refImageModelChanged({ id: entity.id, modelConfig: null }));
+    dispatch(referenceImageIPAdapterModelChanged({ entityIdentifier: getEntityIdentifier(entity), modelConfig: null }));
   });
 
   selectCanvasSlice(state).regionalGuidance.entities.forEach((entity) => {
-    entity.referenceImages.forEach(({ id: referenceImageId, config }) => {
-      if (!isIPAdapterConfig(config)) {
+    entity.referenceImages.forEach(({ id: referenceImageId, ipAdapter }) => {
+      if (ipAdapter.type !== 'ip_adapter') {
         return;
       }
 
-      const selectedIPAdapterModel = config.model;
+      const selectedIPAdapterModel = ipAdapter.model;
       // `null` is a valid IP adapter model - no need to do anything.
       if (!selectedIPAdapterModel) {
         return;
@@ -242,7 +245,7 @@ const handleIPAdapterModels: ModelHandler = (models, state, dispatch, log) => {
       }
       log.debug({ selectedIPAdapterModel }, 'Selected IP adapter model is not available, clearing');
       dispatch(
-        rgRefImageModelChanged({ entityIdentifier: getEntityIdentifier(entity), referenceImageId, modelConfig: null })
+        rgIPAdapterModelChanged({ entityIdentifier: getEntityIdentifier(entity), referenceImageId, modelConfig: null })
       );
     });
   });
@@ -251,11 +254,11 @@ const handleIPAdapterModels: ModelHandler = (models, state, dispatch, log) => {
 const handleFLUXReduxModels: ModelHandler = (models, state, dispatch, log) => {
   const fluxReduxModels = models.filter(isFluxReduxModelConfig);
 
-  selectRefImagesSlice(state).entities.forEach((entity) => {
-    if (!isFLUXReduxConfig(entity.config)) {
+  selectCanvasSlice(state).referenceImages.entities.forEach((entity) => {
+    if (entity.ipAdapter.type !== 'flux_redux') {
       return;
     }
-    const selectedFLUXReduxModel = entity.config.model;
+    const selectedFLUXReduxModel = entity.ipAdapter.model;
     // `null` is a valid FLUX Redux model - no need to do anything.
     if (!selectedFLUXReduxModel) {
       return;
@@ -265,16 +268,16 @@ const handleFLUXReduxModels: ModelHandler = (models, state, dispatch, log) => {
       return;
     }
     log.debug({ selectedFLUXReduxModel }, 'Selected FLUX Redux model is not available, clearing');
-    dispatch(refImageModelChanged({ id: entity.id, modelConfig: null }));
+    dispatch(referenceImageIPAdapterModelChanged({ entityIdentifier: getEntityIdentifier(entity), modelConfig: null }));
   });
 
   selectCanvasSlice(state).regionalGuidance.entities.forEach((entity) => {
-    entity.referenceImages.forEach(({ id: referenceImageId, config }) => {
-      if (!isFLUXReduxConfig(config)) {
+    entity.referenceImages.forEach(({ id: referenceImageId, ipAdapter }) => {
+      if (ipAdapter.type !== 'flux_redux') {
         return;
       }
 
-      const selectedFLUXReduxModel = config.model;
+      const selectedFLUXReduxModel = ipAdapter.model;
       // `null` is a valid FLUX Redux model - no need to do anything.
       if (!selectedFLUXReduxModel) {
         return;
@@ -285,7 +288,7 @@ const handleFLUXReduxModels: ModelHandler = (models, state, dispatch, log) => {
       }
       log.debug({ selectedFLUXReduxModel }, 'Selected FLUX Redux model is not available, clearing');
       dispatch(
-        rgRefImageModelChanged({ entityIdentifier: getEntityIdentifier(entity), referenceImageId, modelConfig: null })
+        rgIPAdapterModelChanged({ entityIdentifier: getEntityIdentifier(entity), referenceImageId, modelConfig: null })
       );
     });
   });

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

@@ -1,8 +1,8 @@
-import { objectEquals } from '@observ33r/object-equals';
 import { createAction } from '@reduxjs/toolkit';
 import { logger } from 'app/logging/logger';
 import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
 import { $baseUrl } from 'app/store/nanostores/baseUrl';
+import { isEqual } from 'lodash-es';
 import { atom } from 'nanostores';
 import { api } from 'services/api';
 import { modelsApi } from 'services/api/endpoints/models';
@@ -64,7 +64,7 @@ export const addSocketConnectedEventListener = (startAppListening: AppStartListe
         const nextQueueStatusData = await queueStatusRequest.unwrap();
 
         // If the queue hasn't changed, we don't need to do anything.
-        if (objectEquals(prevQueueStatusData?.queue, nextQueueStatusData.queue)) {
+        if (isEqual(prevQueueStatusData?.queue, nextQueueStatusData.queue)) {
           return;
         }
 

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

@@ -1,13 +0,0 @@
-import { $didStudioInit } from 'app/hooks/useStudioInitAction';
-import { atom, computed } from 'nanostores';
-import { flushSync } from 'react-dom';
-
-export const $isLayoutLoading = atom(false);
-export const setIsLayoutLoading = (isLoading: boolean) => {
-  flushSync(() => {
-    $isLayoutLoading.set(isLoading);
-  });
-};
-export const $globalIsLoading = computed([$didStudioInit, $isLayoutLoading], (didStudioInit, isLayoutLoading) => {
-  return !didStudioInit || isLayoutLoading;
-});

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

@@ -4,17 +4,16 @@ import { logger } from 'app/logging/logger';
 import { idbKeyValDriver } from 'app/store/enhancers/reduxRemember/driver';
 import { errorHandler } from 'app/store/enhancers/reduxRemember/errors';
 import { deepClone } from 'common/util/deepClone';
-import { keys, mergeWith, omit, pick } from 'es-toolkit/compat';
 import { changeBoardModalSlice } from 'features/changeBoardModal/store/slice';
 import { canvasSettingsPersistConfig, canvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { canvasPersistConfig, canvasSlice, canvasUndoableConfig } from 'features/controlLayers/store/canvasSlice';
 import {
-  canvasSessionSlice,
   canvasStagingAreaPersistConfig,
+  canvasStagingAreaSlice,
 } from 'features/controlLayers/store/canvasStagingAreaSlice';
 import { lorasPersistConfig, lorasSlice } from 'features/controlLayers/store/lorasSlice';
 import { paramsPersistConfig, paramsSlice } from 'features/controlLayers/store/paramsSlice';
-import { refImagesPersistConfig, refImagesSlice } from 'features/controlLayers/store/refImagesSlice';
+import { deleteImageModalSlice } from 'features/deleteImageModal/store/slice';
 import { dynamicPromptsPersistConfig, dynamicPromptsSlice } from 'features/dynamicPrompts/store/dynamicPromptsSlice';
 import { galleryPersistConfig, gallerySlice } from 'features/gallery/store/gallerySlice';
 import { hrfPersistConfig, hrfSlice } from 'features/hrf/store/hrfSlice';
@@ -29,6 +28,7 @@ import { configSlice } from 'features/system/store/configSlice';
 import { systemPersistConfig, systemSlice } from 'features/system/store/systemSlice';
 import { uiPersistConfig, uiSlice } from 'features/ui/store/uiSlice';
 import { diff } from 'jsondiffpatch';
+import { keys, mergeWith, omit, pick } from 'lodash-es';
 import dynamicMiddlewares from 'redux-dynamic-middlewares';
 import type { SerializeFunction, UnserializeFunction } from 'redux-remember';
 import { rememberEnhancer, rememberReducer } from 'redux-remember';
@@ -54,6 +54,7 @@ const allReducers = {
   [configSlice.name]: configSlice.reducer,
   [uiSlice.name]: uiSlice.reducer,
   [dynamicPromptsSlice.name]: dynamicPromptsSlice.reducer,
+  [deleteImageModalSlice.name]: deleteImageModalSlice.reducer,
   [changeBoardModalSlice.name]: changeBoardModalSlice.reducer,
   [modelManagerV2Slice.name]: modelManagerV2Slice.reducer,
   [queueSlice.name]: queueSlice.reducer,
@@ -64,10 +65,9 @@ const allReducers = {
   [stylePresetSlice.name]: stylePresetSlice.reducer,
   [paramsSlice.name]: paramsSlice.reducer,
   [canvasSettingsSlice.name]: canvasSettingsSlice.reducer,
-  [canvasSessionSlice.name]: canvasSessionSlice.reducer,
+  [canvasStagingAreaSlice.name]: canvasStagingAreaSlice.reducer,
   [lorasSlice.name]: lorasSlice.reducer,
   [workflowLibrarySlice.name]: workflowLibrarySlice.reducer,
-  [refImagesSlice.name]: refImagesSlice.reducer,
 };
 
 const rootReducer = combineReducers(allReducers);
@@ -113,7 +113,6 @@ const persistConfigs: { [key in keyof typeof allReducers]?: PersistConfig } = {
   [canvasStagingAreaPersistConfig.name]: canvasStagingAreaPersistConfig,
   [lorasPersistConfig.name]: lorasPersistConfig,
   [workflowLibraryPersistConfig.name]: workflowLibraryPersistConfig,
-  [refImagesSlice.name]: refImagesPersistConfig,
 };
 
 const unserialize: UnserializeFunction = (data, key) => {
@@ -176,7 +175,6 @@ export const createStore = (uniqueStoreKey?: string, persist = true) =>
         .concat(api.middleware)
         .concat(dynamicMiddlewares)
         .concat(authToastMiddleware)
-        // .concat(getDebugLoggerMiddleware())
         .prepend(listenerMiddleware.middleware),
     enhancers: (getDefaultEnhancers) => {
       const _enhancers = getDefaultEnhancers().concat(autoBatchEnhancer());
@@ -211,4 +209,3 @@ export type RootState = ReturnType<AppStore['getState']>;
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 export type AppThunkDispatch = ThunkDispatch<RootState, any, UnknownAction>;
 export type AppDispatch = ReturnType<typeof createStore>['dispatch'];
-export type AppGetState = ReturnType<typeof createStore>['getState'];

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

@@ -15,9 +15,9 @@ import {
 } from '@invoke-ai/ui-library';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { merge, omit } from 'es-toolkit/compat';
 import { selectSystemSlice, setShouldEnableInformationalPopovers } from 'features/system/store/systemSlice';
 import { toast } from 'features/toast/toast';
+import { merge, omit } from 'lodash-es';
 import type { ReactElement } from 'react';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';

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

@@ -17,7 +17,6 @@ const Loading = () => {
       right={0}
       bottom={0}
       left={0}
-      zIndex={99999}
     >
       <Image src={InvokeLogoWhite} w="8rem" h="8rem" />
       <Spinner

invokeai/frontend/web/src/common/components/OverlayScrollbars/ScrollableContent.tsx

@@ -11,14 +11,13 @@ import { memo, useEffect, useMemo, useState } from 'react';
 
 type Props = PropsWithChildren & {
   maxHeight?: ChakraProps['maxHeight'];
-  maxWidth?: ChakraProps['maxWidth'];
   overflowX?: 'hidden' | 'scroll';
   overflowY?: 'hidden' | 'scroll';
 };
 
 const styles: CSSProperties = { position: 'absolute', top: 0, left: 0, right: 0, bottom: 0 };
 
-const ScrollableContent = ({ children, maxHeight, maxWidth, overflowX = 'hidden', overflowY = 'scroll' }: Props) => {
+const ScrollableContent = ({ children, maxHeight, overflowX = 'hidden', overflowY = 'scroll' }: Props) => {
   const overlayscrollbarsOptions = useMemo(
     () => getOverlayScrollbarsParams({ overflowX, overflowY }).options,
     [overflowX, overflowY]
@@ -45,7 +44,7 @@ const ScrollableContent = ({ children, maxHeight, maxWidth, overflowX = 'hidden'
   }, [os]);
 
   return (
-    <Flex w="full" h="full" maxHeight={maxHeight} maxWidth={maxWidth} position="relative">
+    <Flex w="full" h="full" maxHeight={maxHeight} position="relative">
       <Box position="absolute" top={0} left={0} right={0} bottom={0}>
         <OverlayScrollbarsComponent ref={osRef} style={styles} options={overlayscrollbarsOptions}>
           {children}

invokeai/frontend/web/src/common/components/OverlayScrollbars/constants.ts

@@ -1,5 +1,5 @@
 import { deepClone } from 'common/util/deepClone';
-import { merge } from 'es-toolkit/compat';
+import { merge } from 'lodash-es';
 import { ClickScrollPlugin, OverlayScrollbars } from 'overlayscrollbars';
 import type { UseOverlayScrollbarsParams } from 'overlayscrollbars-react';
 import type { CSSProperties } from 'react';

invokeai/frontend/web/src/common/components/OverlayScrollbars/overlayscrollbars.css

@@ -1,6 +1,6 @@
 .os-scrollbar {
   /*      The size of the scrollbar */
-  --os-size: 8px;
+  --os-size: 9px;
   /*      The axis-perpedicular padding of the scrollbar (horizontal: padding-y, vertical: padding-x) */
   /* --os-padding-perpendicular: 0; */
   /*      The axis padding of the scrollbar (horizontal: padding-x, vertical: padding-y) */
@@ -8,11 +8,11 @@
   /*      The border radius of the scrollbar track */
   /* --os-track-border-radius: 0; */
   /*      The background of the scrollbar track */
-  --os-track-bg: rgba(0, 0, 0, 0.5);
+  /* --os-track-bg: rgba(0, 0, 0, 0.3); */
   /*      The :hover background of the scrollbar track */
-  --os-track-bg-hover: rgba(0, 0, 0, 0.5);
+  /* --os-track-bg-hover: rgba(0, 0, 0, 0.3); */
   /*      The :active background of the scrollbar track */
-  --os-track-bg-active: rgba(0, 0, 0, 0.6);
+  /* --os-track-bg-active: rgba(0, 0, 0, 0.3); */
   /*      The border of the scrollbar track */
   /* --os-track-border: none; */
   /*      The :hover background of the scrollbar track */
@@ -22,11 +22,11 @@
   /*      The border radius of the scrollbar handle */
   /* --os-handle-border-radius: 2px; */
   /*      The background of the scrollbar handle */
-  --os-handle-bg: var(--invoke-colors-base-400);
+  /* --os-handle-bg: var(--invokeai-colors-accentAlpha-500); */
   /*      The :hover background of the scrollbar handle */
-  --os-handle-bg-hover: var(--invoke-colors-base-300);
+  /* --os-handle-bg-hover: var(--invokeai-colors-accentAlpha-700); */
   /*      The :active background of the scrollbar handle */
-  --os-handle-bg-active: var(--invoke-colors-base-250);
+  /* --os-handle-bg-active: var(--invokeai-colors-accentAlpha-800); */
   /*      The border of the scrollbar handle */
   /* --os-handle-border: none; */
   /*      The :hover border of the scrollbar handle */
@@ -34,23 +34,23 @@
   /*      The :active border of the scrollbar handle */
   /* --os-handle-border-active: none; */
   /*      The min size of the scrollbar handle */
-  --os-handle-min-size: 32px;
+  --os-handle-min-size: 50px;
   /*      The max size of the scrollbar handle */
   /* --os-handle-max-size: none; */
   /*      The axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
   /* --os-handle-perpendicular-size: 100%; */
   /*      The :hover axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
-  --os-handle-perpendicular-size-hover: 100%;
+  /* --os-handle-perpendicular-size-hover: 100%; */
   /*      The :active axis-perpedicular size of the scrollbar handle (horizontal: height, vertical: width) */
   /* --os-handle-perpendicular-size-active: 100%; */
   /*      Increases the interactive area of the scrollbar handle. */
-  --os-handle-interactive-area-offset: -1px;
+  /* --os-handle-interactive-area-offset: 0; */
 }
 
 .os-scrollbar-handle {
-  /* cursor: grab; */
+  cursor: grab;
 }
 
 .os-scrollbar-handle:active {
-  /* cursor: grabbing; */
+  cursor: grabbing;
 }

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

@@ -73,7 +73,7 @@ export const useBoolean = (initialValue: boolean): UseBoolean => {
   };
 };
 
-export type UseDisclosure = {
+type UseDisclosure = {
   isOpen: boolean;
   open: () => void;
   close: () => void;

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

@@ -1,29 +0,0 @@
-import { combine } from '@atlaskit/pragmatic-drag-and-drop/combine';
-import { dropTargetForElements } from '@atlaskit/pragmatic-drag-and-drop/element/adapter';
-import { dropTargetForExternal } from '@atlaskit/pragmatic-drag-and-drop/external/adapter';
-import { useTimeoutCallback } from 'common/hooks/useTimeoutCallback';
-import type { RefObject } from 'react';
-import { useEffect } from 'react';
-
-export const useCallbackOnDragEnter = (cb: () => void, ref: RefObject<HTMLElement>, delay = 300) => {
-  const [run, cancel] = useTimeoutCallback(cb, delay);
-
-  useEffect(() => {
-    const element = ref.current;
-    if (!element) {
-      return;
-    }
-    return combine(
-      dropTargetForElements({
-        element,
-        onDragEnter: run,
-        onDragLeave: cancel,
-      }),
-      dropTargetForExternal({
-        element,
-        onDragEnter: run,
-        onDragLeave: cancel,
-      })
-    );
-  }, [cancel, ref, run]);
-};

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

@@ -1,19 +0,0 @@
-import { useEffect } from 'react';
-
-// Chakra tooltips sometimes open during a drag operation. We can fix it by dispatching an event that chakra listens
-// for to close tooltips. It's reaching into the internals but it seems to work.
-
-const closeEventName = 'chakra-ui:close-tooltip';
-
-export const useCloseChakraTooltipsOnDragFix = () => {
-  useEffect(() => {
-    const closeTooltips = () => {
-      document.dispatchEvent(new window.CustomEvent(closeEventName));
-    };
-    document.addEventListener('drag', closeTooltips);
-
-    return () => {
-      document.removeEventListener('drag', closeTooltips);
-    };
-  }, []);
-};

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

@@ -1,165 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-/**
- * Adapted from https://github.com/chakra-ui/chakra-ui/blob/v2/packages/hooks/src/use-outside-click.ts
- *
- * The main change here is to support filtering of outside clicks via a `filter` function.
- *
- * This lets us work around issues with portals and components like popovers, which typically close on an outside click.
- *
- * For example, consider a popover that has a custom drop-down component inside it, which uses a portal to render
- * the drop-down options. The original outside click handler would close the popover when clicking on the drop-down options,
- * because the click is outside the popover - but we expect the popover to stay open in this case.
- *
- * A filter function like this can fix that:
- *
- * ```ts
- * const filter = (el: HTMLElement) => el.className.includes('chakra-portal') || el.id.includes('react-select')
- * ```
- *
- * This ignores clicks on react-select-based drop-downs and Chakra UI portals and is used as the default filter.
- */
-
-import { useCallback, useEffect, useRef } from 'react';
-
-type FilterFunction = (el: HTMLElement | SVGElement) => boolean;
-
-export function useCallbackRef<T extends (...args: any[]) => any>(
-  callback: T | undefined,
-  deps: React.DependencyList = []
-) {
-  const callbackRef = useRef(callback);
-
-  useEffect(() => {
-    callbackRef.current = callback;
-  });
-
-  // eslint-disable-next-line react-hooks/exhaustive-deps
-  return useCallback(((...args) => callbackRef.current?.(...args)) as T, deps);
-}
-
-export interface UseOutsideClickProps {
-  /**
-   * Whether the hook is enabled
-   */
-  enabled?: boolean;
-  /**
-   * The reference to a DOM element.
-   */
-  ref: React.RefObject<HTMLElement | null>;
-  /**
-   * Function invoked when a click is triggered outside the referenced element.
-   */
-  handler?: (e: Event) => void;
-  /**
-   * A function that filters the elements that should be considered as outside clicks.
-   *
-   * If omitted, a default filter function that ignores clicks in Chakra UI portals and react-select components is used.
-   */
-  filter?: FilterFunction;
-}
-
-export const DEFAULT_FILTER: FilterFunction = (el) => {
-  if (el instanceof SVGElement) {
-    // SVGElement's type appears to be incorrect. Its className is not a string, which causes `includes` to fail.
-    // Let's assume that SVG elements with a class name are not part of the portal and should not be filtered.
-    return false;
-  }
-  return el.className.includes('chakra-portal') || el.id.includes('react-select');
-};
-
-/**
- * Example, used in components like Dialogs and Popovers, so they can close
- * when a user clicks outside them.
- */
-export function useFilterableOutsideClick(props: UseOutsideClickProps) {
-  const { ref, handler, enabled = true, filter = DEFAULT_FILTER } = props;
-  const savedHandler = useCallbackRef(handler);
-
-  const stateRef = useRef({
-    isPointerDown: false,
-    ignoreEmulatedMouseEvents: false,
-  });
-
-  const state = stateRef.current;
-
-  useEffect(() => {
-    if (!enabled) {
-      return;
-    }
-    const onPointerDown: any = (e: PointerEvent) => {
-      if (isValidEvent(e, ref, filter)) {
-        state.isPointerDown = true;
-      }
-    };
-
-    const onMouseUp: any = (event: MouseEvent) => {
-      if (state.ignoreEmulatedMouseEvents) {
-        state.ignoreEmulatedMouseEvents = false;
-        return;
-      }
-
-      if (state.isPointerDown && handler && isValidEvent(event, ref)) {
-        state.isPointerDown = false;
-        savedHandler(event);
-      }
-    };
-
-    const onTouchEnd = (event: TouchEvent) => {
-      state.ignoreEmulatedMouseEvents = true;
-      if (handler && state.isPointerDown && isValidEvent(event, ref)) {
-        state.isPointerDown = false;
-        savedHandler(event);
-      }
-    };
-
-    const doc = getOwnerDocument(ref.current);
-    doc.addEventListener('mousedown', onPointerDown, true);
-    doc.addEventListener('mouseup', onMouseUp, true);
-    doc.addEventListener('touchstart', onPointerDown, true);
-    doc.addEventListener('touchend', onTouchEnd, true);
-
-    return () => {
-      doc.removeEventListener('mousedown', onPointerDown, true);
-      doc.removeEventListener('mouseup', onMouseUp, true);
-      doc.removeEventListener('touchstart', onPointerDown, true);
-      doc.removeEventListener('touchend', onTouchEnd, true);
-    };
-  }, [handler, ref, savedHandler, state, enabled, filter]);
-}
-
-function isValidEvent(event: Event, ref: React.RefObject<HTMLElement | null>, filter?: FilterFunction): boolean {
-  const target = (event.composedPath?.()[0] ?? event.target) as HTMLElement;
-
-  if (target) {
-    const doc = getOwnerDocument(target);
-    if (!doc.contains(target)) {
-      return false;
-    }
-  }
-
-  if (ref.current?.contains(target)) {
-    return false;
-  }
-
-  // This is the main logic change from the original hook.
-  if (filter) {
-    // Check if the click is inside an element matching the filter.
-    // This is used for portal-awareness or other general exclusion cases.
-    let currentElement: HTMLElement | null = target;
-    // Traverse up the DOM tree from the target element.
-    while (currentElement && currentElement !== document.body) {
-      if (filter(currentElement)) {
-        return false;
-      }
-      currentElement = currentElement.parentElement;
-    }
-  }
-
-  // If the click is not inside the ref and not inside a portal, it's a valid outside click.
-  return true;
-}
-
-function getOwnerDocument(node?: Element | null): Document {
-  return node?.ownerDocument ?? document;
-}

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

@@ -1,6 +1,6 @@
 import { useAppDispatch } from 'app/store/storeHooks';
+import { useCancelCurrentQueueItem } from 'features/queue/hooks/useCancelCurrentQueueItem';
 import { useClearQueue } from 'features/queue/hooks/useClearQueue';
-import { useDeleteCurrentQueueItem } from 'features/queue/hooks/useDeleteCurrentQueueItem';
 import { useInvoke } from 'features/queue/hooks/useInvoke';
 import { useRegisteredHotkeys } from 'features/system/components/HotkeysModal/useHotkeyData';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
@@ -35,39 +35,34 @@ export const useGlobalHotkeys = () => {
     dependencies: [queue],
   });
 
-  const deleteCurrentQueueItem = useDeleteCurrentQueueItem();
+  const {
+    cancelQueueItem,
+    isDisabled: isDisabledCancelQueueItem,
+    isLoading: isLoadingCancelQueueItem,
+  } = useCancelCurrentQueueItem();
 
   useRegisteredHotkeys({
     id: 'cancelQueueItem',
     category: 'app',
-    callback: deleteCurrentQueueItem.trigger,
+    callback: cancelQueueItem,
     options: {
-      enabled: !deleteCurrentQueueItem.isDisabled && !deleteCurrentQueueItem.isLoading,
+      enabled: !isDisabledCancelQueueItem && !isLoadingCancelQueueItem,
       preventDefault: true,
     },
-    dependencies: [deleteCurrentQueueItem],
+    dependencies: [cancelQueueItem, isDisabledCancelQueueItem, isLoadingCancelQueueItem],
   });
 
-  const clearQueue = useClearQueue();
+  const { clearQueue, isDisabled: isDisabledClearQueue, isLoading: isLoadingClearQueue } = useClearQueue();
 
   useRegisteredHotkeys({
     id: 'clearQueue',
     category: 'app',
-    callback: clearQueue.trigger,
+    callback: clearQueue,
     options: {
-      enabled: !clearQueue.isDisabled && !clearQueue.isLoading,
+      enabled: !isDisabledClearQueue && !isLoadingClearQueue,
       preventDefault: true,
     },
-    dependencies: [clearQueue],
-  });
-
-  useRegisteredHotkeys({
-    id: 'selectGenerateTab',
-    category: 'app',
-    callback: () => {
-      dispatch(setActiveTab('generate'));
-    },
-    dependencies: [dispatch],
+    dependencies: [clearQueue, isDisabledClearQueue, isLoadingClearQueue],
   });
 
   useRegisteredHotkeys({
@@ -117,20 +112,4 @@ export const useGlobalHotkeys = () => {
     },
     dependencies: [dispatch, isModelManagerEnabled],
   });
-
-  // TODO: implement delete - needs to handle gallery focus, which has changed w/ dockview
-  // useRegisteredHotkeys({
-  //   id: 'deleteSelection',
-  //   category: 'gallery',
-  //   callback: () => {
-  //     if (!selection.length) {
-  //       return;
-  //     }
-  //     deleteImageModal.delete(selection);
-  //   },
-  //   options: {
-  //     enabled: (isGalleryFocused || isImageViewerFocused) && isDeleteEnabledByTab && !isWorkflowsFocused,
-  //   },
-  //   dependencies: [isWorkflowsFocused, isDeleteEnabledByTab, selection, isWorkflowsFocused],
-  // });
 };

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

@@ -2,10 +2,10 @@ import type { ComboboxOnChange, ComboboxOption } from '@invoke-ai/ui-library';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppSelector } from 'app/store/storeHooks';
 import type { GroupBase } from 'chakra-react-select';
-import { groupBy, reduce } from 'es-toolkit/compat';
 import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import type { ModelIdentifierField } from 'features/nodes/types/common';
 import { selectSystemShouldEnableModelDescriptions } from 'features/system/store/systemSlice';
+import { groupBy, reduce } from 'lodash-es';
 import { useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import type { AnyModelConfig } from 'services/api/types';

invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx

@@ -1,11 +1,11 @@
-import type { ButtonProps, IconButtonProps, SystemStyleObject } from '@invoke-ai/ui-library';
-import { Button, IconButton } from '@invoke-ai/ui-library';
+import type { IconButtonProps, SystemStyleObject } from '@invoke-ai/ui-library';
+import { IconButton } from '@invoke-ai/ui-library';
 import { logger } from 'app/logging/logger';
 import { useAppSelector } from 'app/store/storeHooks';
 import { selectAutoAddBoardId } from 'features/gallery/store/gallerySelectors';
 import { selectIsClientSideUploadEnabled } from 'features/system/store/configSlice';
 import { toast } from 'features/toast/toast';
-import { memo, useCallback } from 'react';
+import { useCallback } from 'react';
 import type { FileRejection } from 'react-dropzone';
 import { useDropzone } from 'react-dropzone';
 import { useTranslation } from 'react-i18next';
@@ -163,63 +163,32 @@ const sx = {
   },
 } satisfies SystemStyleObject;
 
-export const UploadImageIconButton = memo(
-  ({
-    isDisabled = false,
-    onUpload,
-    isError = false,
-    ...rest
-  }: {
-    onUpload?: (imageDTO: ImageDTO) => void;
-    isError?: boolean;
-  } & SetOptional<IconButtonProps, 'aria-label'>) => {
-    const uploadApi = useImageUploadButton({ isDisabled, allowMultiple: false, onUpload });
-    return (
-      <>
-        <IconButton
-          aria-label="Upload image"
-          variant="outline"
-          sx={sx}
-          data-error={isError}
-          icon={<PiUploadBold />}
-          isLoading={uploadApi.request.isLoading}
-          {...rest}
-          {...uploadApi.getUploadButtonProps()}
-        />
-        <input {...uploadApi.getUploadInputProps()} />
-      </>
-    );
-  }
-);
-UploadImageIconButton.displayName = 'UploadImageIconButton';
-
-type UploadImageButtonProps = {
+export const UploadImageButton = ({
+  isDisabled = false,
+  onUpload,
+  isError = false,
+  ...rest
+}: {
   onUpload?: (imageDTO: ImageDTO) => void;
   isError?: boolean;
-} & ButtonProps;
-
-const UploadImageButton = memo((props: UploadImageButtonProps) => {
-  const { children, isDisabled = false, onUpload, isError = false, ...rest } = props;
+} & SetOptional<IconButtonProps, 'aria-label'>) => {
   const uploadApi = useImageUploadButton({ isDisabled, allowMultiple: false, onUpload });
   return (
     <>
-      <Button
+      <IconButton
         aria-label="Upload image"
         variant="outline"
         sx={sx}
         data-error={isError}
-        rightIcon={<PiUploadBold />}
+        icon={<PiUploadBold />}
         isLoading={uploadApi.request.isLoading}
         {...rest}
         {...uploadApi.getUploadButtonProps()}
-      >
-        {children ?? 'Upload'}
-      </Button>
+      />
       <input {...uploadApi.getUploadInputProps()} />
     </>
   );
-});
-UploadImageButton.displayName = 'UploadImageButton';
+};
 
 export const UploadMultipleImageButton = ({
   isDisabled = false,

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

@@ -1,7 +1,7 @@
 import { useAppStore } from 'app/store/nanostores/store';
-import { debounce } from 'es-toolkit/compat';
 import type { Dimensions } from 'features/controlLayers/store/types';
 import { selectUiSlice, textAreaSizesStateChanged } from 'features/ui/store/uiSlice';
+import { debounce } from 'lodash-es';
 import { type RefObject, useCallback, useEffect, useMemo } from 'react';
 
 type Options = {

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

@@ -1,18 +1,12 @@
 import type { ComboboxOnChange, ComboboxOption } from '@invoke-ai/ui-library';
-import { EMPTY_ARRAY } from 'app/store/constants';
-import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
-import { useAppSelector } from 'app/store/storeHooks';
 import type { GroupBase } from 'chakra-react-select';
-import { uniq } from 'es-toolkit/compat';
-import { selectLoRAsSlice } from 'features/controlLayers/store/lorasSlice';
-import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import type { ModelIdentifierField } from 'features/nodes/types/common';
-import { useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
-import { useGetRelatedModelIdsBatchQuery } from 'services/api/endpoints/modelRelationships';
 import type { AnyModelConfig } from 'services/api/types';
 
 import { useGroupedModelCombobox } from './useGroupedModelCombobox';
+import { useRelatedModelKeys } from './useRelatedModelKeys';
+import { useSelectedModelKeys } from './useSelectedModelKeys';
 
 type UseRelatedGroupedModelComboboxArg<T extends AnyModelConfig> = {
   modelConfigs: T[];
@@ -35,32 +29,6 @@ type UseRelatedGroupedModelComboboxReturn = {
   noOptionsMessage: () => string;
 };
 
-const selectSelectedModelKeys = createMemoizedSelector(selectParamsSlice, selectLoRAsSlice, (params, loras) => {
-  const keys: string[] = [];
-  const main = params.model;
-  const vae = params.vae;
-  const refiner = params.refinerModel;
-  const controlnet = params.controlLora;
-
-  if (main) {
-    keys.push(main.key);
-  }
-  if (vae) {
-    keys.push(vae.key);
-  }
-  if (refiner) {
-    keys.push(refiner.key);
-  }
-  if (controlnet) {
-    keys.push(controlnet.key);
-  }
-  for (const { model } of loras.loras) {
-    keys.push(model.key);
-  }
-
-  return uniq(keys);
-});
-
 export function useRelatedGroupedModelCombobox<T extends AnyModelConfig>({
   modelConfigs,
   selectedModel,
@@ -71,15 +39,9 @@ export function useRelatedGroupedModelCombobox<T extends AnyModelConfig>({
 }: UseRelatedGroupedModelComboboxArg<T>): UseRelatedGroupedModelComboboxReturn {
   const { t } = useTranslation();
 
-  const selectedKeys = useAppSelector(selectSelectedModelKeys);
-  const { relatedKeys } = useGetRelatedModelIdsBatchQuery(selectedKeys, {
-    selectFromResult: ({ data }) => {
-      if (!data) {
-        return { relatedKeys: EMPTY_ARRAY };
-      }
-      return { relatedKeys: data };
-    },
-  });
+  const selectedKeys = useSelectedModelKeys();
+
+  const relatedKeys = useRelatedModelKeys(selectedKeys);
 
   // Base grouped options
   const base = useGroupedModelCombobox({
@@ -91,42 +53,40 @@ export function useRelatedGroupedModelCombobox<T extends AnyModelConfig>({
     groupByType,
   });
 
-  const options = useMemo(() => {
-    if (relatedKeys.length === 0) {
-      return base.options;
-    }
+  // If no related models selected, just return base
+  if (relatedKeys.size === 0) {
+    return base;
+  }
 
-    const relatedOptions: ComboboxOption[] = [];
-    const updatedGroups: GroupBase<ComboboxOption>[] = [];
+  const relatedOptions: ComboboxOption[] = [];
+  const updatedGroups: GroupBase<ComboboxOption>[] = [];
 
-    for (const group of base.options) {
-      const remainingOptions: ComboboxOption[] = [];
+  for (const group of base.options) {
+    const remainingOptions: ComboboxOption[] = [];
 
-      for (const option of group.options) {
-        if (relatedKeys.includes(option.value)) {
-          relatedOptions.push({ ...option, label: `* ${option.label}` });
-        } else {
-          remainingOptions.push(option);
-        }
-      }
-
-      if (remainingOptions.length > 0) {
-        updatedGroups.push({
-          label: group.label,
-          options: remainingOptions,
-        });
+    for (const option of group.options) {
+      if (relatedKeys.has(option.value)) {
+        relatedOptions.push({ ...option, label: `* ${option.label}` });
+      } else {
+        remainingOptions.push(option);
       }
     }
 
-    if (relatedOptions.length > 0) {
-      return [{ label: t('modelManager.relatedModels'), options: relatedOptions }, ...updatedGroups];
-    } else {
-      return updatedGroups;
+    if (remainingOptions.length > 0) {
+      updatedGroups.push({
+        label: group.label,
+        options: remainingOptions,
+      });
     }
-  }, [base.options, relatedKeys, t]);
+  }
+
+  const finalOptions: GroupBase<ComboboxOption>[] =
+    relatedOptions.length > 0
+      ? [{ label: t('modelManager.relatedModels'), options: relatedOptions }, ...updatedGroups]
+      : updatedGroups;
 
   return {
     ...base,
-    options,
+    options: finalOptions,
   };
 }

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

@@ -0,0 +1,14 @@
+import { useMemo } from 'react';
+import { useGetRelatedModelIdsBatchQuery } from 'services/api/endpoints/modelRelationships';
+
+/**
+ * Fetches related model keys for a given set of selected model keys.
+ * Returns a Set<string> for fast lookup.
+ */
+export const useRelatedModelKeys = (selectedKeys: Set<string>) => {
+  const { data: related = [] } = useGetRelatedModelIdsBatchQuery([...selectedKeys], {
+    skip: selectedKeys.size === 0,
+  });
+
+  return useMemo(() => new Set(related), [related]);
+};

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

@@ -0,0 +1,34 @@
+import { useAppSelector } from 'app/store/storeHooks';
+
+/**
+ * Gathers all currently selected model keys from parameters and loras.
+ * This includes the main model, VAE, refiner model, controlnet, and loras.
+ */
+export const useSelectedModelKeys = () => {
+  return useAppSelector((state) => {
+    const keys = new Set<string>();
+    const main = state.params.model;
+    const vae = state.params.vae;
+    const refiner = state.params.refinerModel;
+    const controlnet = state.params.controlLora;
+    const loras = state.loras.loras.map((l) => l.model);
+
+    if (main) {
+      keys.add(main.key);
+    }
+    if (vae) {
+      keys.add(vae.key);
+    }
+    if (refiner) {
+      keys.add(refiner.key);
+    }
+    if (controlnet) {
+      keys.add(controlnet.key);
+    }
+    for (const lora of loras) {
+      keys.add(lora.key);
+    }
+
+    return keys;
+  });
+};

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

@@ -1,28 +0,0 @@
-import type { Selector } from '@reduxjs/toolkit';
-import type { RootState } from 'app/store/store';
-import { useAppStore } from 'app/store/storeHooks';
-import type { Atom, WritableAtom } from 'nanostores';
-import { atom } from 'nanostores';
-import { useEffect, useState } from 'react';
-
-/* eslint-disable-next-line @typescript-eslint/no-explicit-any */
-export const useSelectorAsAtom = <T extends Selector<RootState, any>>(selector: T): Atom<ReturnType<T>> => {
-  const store = useAppStore();
-  const $atom = useState<WritableAtom<ReturnType<T>>>(() => atom<ReturnType<T>>(selector(store.getState())))[0];
-
-  useEffect(() => {
-    const unsubscribe = store.subscribe(() => {
-      const prev = $atom.get();
-      const next = selector(store.getState());
-      if (prev !== next) {
-        $atom.set(next);
-      }
-    });
-
-    return () => {
-      unsubscribe();
-    };
-  }, [$atom, selector, store]);
-
-  return $atom;
-};

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

@@ -1,21 +0,0 @@
-import { useCallback, useMemo, useRef } from 'react';
-
-export const useTimeoutCallback = (callback: () => void, delay: number, onCancel?: () => void) => {
-  const timeoutRef = useRef<number | null>(null);
-  const cancel = useCallback(() => {
-    if (timeoutRef.current !== null) {
-      window.clearTimeout(timeoutRef.current);
-      timeoutRef.current = null;
-      onCancel?.();
-    }
-  }, [onCancel]);
-  const callWithTimeout = useCallback(() => {
-    cancel();
-    timeoutRef.current = window.setTimeout(() => {
-      callback();
-      timeoutRef.current = null;
-    }, delay);
-  }, [callback, cancel, delay]);
-  const api = useMemo(() => [callWithTimeout, cancel] as const, [callWithTimeout, cancel]);
-  return api;
-};

invokeai/frontend/web/src/common/util/generateSeeds.ts

@@ -1,5 +1,5 @@
 import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from 'app/constants';
-import { random } from 'es-toolkit/compat';
+import { random } from 'lodash-es';
 
 type GenerateSeedsArg = {
   count: number;

invokeai/frontend/web/src/common/util/zodUtils.ts

@@ -1,10 +0,0 @@
-import type { z } from 'zod/v4';
-
-/**
- * Helper to create a type guard from a zod schema. The type guard will infer the schema's TS type.
- * @param schema The zod schema to create a type guard from.
- * @returns A type guard function for the schema.
- */
-export const buildZodTypeGuard = <T extends z.ZodTypeAny>(schema: T) => {
-  return (val: unknown): val is z.infer<T> => schema.safeParse(val).success;
-};

invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx

@@ -16,7 +16,7 @@ import { useAddImagesToBoardMutation, useRemoveImagesFromBoardMutation } from 's
 
 const selectImagesToChange = createMemoizedSelector(
   selectChangeBoardModalSlice,
-  (changeBoardModal) => changeBoardModal.image_names
+  (changeBoardModal) => changeBoardModal.imagesToChange
 );
 
 const selectIsModalOpen = createSelector(
@@ -57,10 +57,10 @@ const ChangeBoardModal = () => {
     }
 
     if (selectedBoard === 'none') {
-      removeImagesFromBoard({ image_names: imagesToChange });
+      removeImagesFromBoard({ imageDTOs: imagesToChange });
     } else {
       addImagesToBoard({
-        image_names: imagesToChange,
+        imageDTOs: imagesToChange,
         board_id: selectedBoard,
       });
     }

invokeai/frontend/web/src/features/changeBoardModal/store/initialState.ts

@@ -2,5 +2,5 @@ import type { ChangeBoardModalState } from './types';
 
 export const initialState: ChangeBoardModalState = {
   isModalOpen: false,
-  image_names: [],
+  imagesToChange: [],
 };

invokeai/frontend/web/src/features/changeBoardModal/store/slice.ts

@@ -1,6 +1,7 @@
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { createSlice } from '@reduxjs/toolkit';
 import type { RootState } from 'app/store/store';
+import type { ImageDTO } from 'services/api/types';
 
 import { initialState } from './initialState';
 
@@ -11,11 +12,11 @@ export const changeBoardModalSlice = createSlice({
     isModalOpenChanged: (state, action: PayloadAction<boolean>) => {
       state.isModalOpen = action.payload;
     },
-    imagesToChangeSelected: (state, action: PayloadAction<string[]>) => {
-      state.image_names = action.payload;
+    imagesToChangeSelected: (state, action: PayloadAction<ImageDTO[]>) => {
+      state.imagesToChange = action.payload;
     },
     changeBoardReset: (state) => {
-      state.image_names = [];
+      state.imagesToChange = [];
       state.isModalOpen = false;
     },
   },