diff --git a/README.md b/README.md
index 2bdced1f18..5dc1736f19 100644
--- a/README.md
+++ b/README.md
@@ -270,7 +270,7 @@ upgrade script.** See the next section for a Windows recipe.
 3. Select option [1] to upgrade to the latest release.
 
 4. Once the upgrade is finished you will be returned to the launcher
-menu. Select option [7] "Re-run the configure script to fix a broken
+menu. Select option [6] "Re-run the configure script to fix a broken
 install or to complete a major upgrade".
 
 This will run the configure script against the v2.3 directory and
diff --git a/docs/contributing/DOWNLOAD_QUEUE.md b/docs/contributing/DOWNLOAD_QUEUE.md
new file mode 100644
index 0000000000..d43c670d2c
--- /dev/null
+++ b/docs/contributing/DOWNLOAD_QUEUE.md
@@ -0,0 +1,277 @@
+# The InvokeAI Download Queue
+
+The DownloadQueueService provides a multithreaded parallel download
+queue for arbitrary URLs, with queue prioritization, event handling,
+and restart capabilities.
+
+## Simple Example
+
+```
+from invokeai.app.services.download import DownloadQueueService, TqdmProgress
+
+download_queue = DownloadQueueService()
+for url in ['https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/a-painting-of-a-fire.png?raw=true',
+            'https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/birdhouse.png?raw=true',
+            'https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/missing.png',
+            'https://civitai.com/api/download/models/152309?type=Model&format=SafeTensor',
+            ]:
+
+    # urls start downloading as soon as download() is called
+    download_queue.download(source=url,
+                            dest='/tmp/downloads',
+                            on_progress=TqdmProgress().update
+                            )
+
+download_queue.join()  # wait for all downloads to finish
+for job in download_queue.list_jobs():
+    print(job.model_dump_json(exclude_none=True, indent=4),"\n")
+```
+
+Output:
+
+```
+{
+    "source": "https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/a-painting-of-a-fire.png?raw=true",
+    "dest": "/tmp/downloads",
+    "id": 0,
+    "priority": 10,
+    "status": "completed",
+    "download_path": "/tmp/downloads/a-painting-of-a-fire.png",
+    "job_started": "2023-12-04T05:34:41.742174",
+    "job_ended": "2023-12-04T05:34:42.592035",
+    "bytes": 666734,
+    "total_bytes": 666734
+} 
+
+{
+    "source": "https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/birdhouse.png?raw=true",
+    "dest": "/tmp/downloads",
+    "id": 1,
+    "priority": 10,
+    "status": "completed",
+    "download_path": "/tmp/downloads/birdhouse.png",
+    "job_started": "2023-12-04T05:34:41.741975",
+    "job_ended": "2023-12-04T05:34:42.652841",
+    "bytes": 774949,
+    "total_bytes": 774949
+}
+
+{
+    "source": "https://github.com/invoke-ai/InvokeAI/blob/main/invokeai/assets/missing.png",
+    "dest": "/tmp/downloads",
+    "id": 2,
+    "priority": 10,
+    "status": "error",
+    "job_started": "2023-12-04T05:34:41.742079",
+    "job_ended": "2023-12-04T05:34:42.147625",
+    "bytes": 0,
+    "total_bytes": 0,
+    "error_type": "HTTPError(Not Found)",
+    "error": "Traceback (most recent call last):\n  File \"/home/lstein/Projects/InvokeAI/invokeai/app/services/download/download_default.py\", line 182, in _download_next_item\n    self._do_download(job)\n  File \"/home/lstein/Projects/InvokeAI/invokeai/app/services/download/download_default.py\", line 206, in _do_download\n    raise HTTPError(resp.reason)\nrequests.exceptions.HTTPError: Not Found\n"
+}
+
+{
+    "source": "https://civitai.com/api/download/models/152309?type=Model&format=SafeTensor",
+    "dest": "/tmp/downloads",
+    "id": 3,
+    "priority": 10,
+    "status": "completed",
+    "download_path": "/tmp/downloads/xl_more_art-full_v1.safetensors",
+    "job_started": "2023-12-04T05:34:42.147645",
+    "job_ended": "2023-12-04T05:34:43.735990",
+    "bytes": 719020768,
+    "total_bytes": 719020768
+} 
+```
+
+##  The API
+
+The default download queue is `DownloadQueueService`, an
+implementation of ABC `DownloadQueueServiceBase`. It juggles multiple
+background download requests and provides facilities for interrogating
+and cancelling the requests. Access to a current or past download task
+is mediated via `DownloadJob` objects which report the current status
+of a job request
+
+### The Queue Object
+
+A default download queue is located in
+`ApiDependencies.invoker.services.download_queue`. However, you can
+create additional instances if you need to isolate your queue from the
+main one.
+
+```
+queue = DownloadQueueService(event_bus=events)
+```
+
+`DownloadQueueService()` takes three optional arguments:
+
+| **Argument** | **Type**          |  **Default**  | **Description** |
+|----------------|-----------------|---------------|-----------------|
+| `max_parallel_dl`  | int                         | 5    | Maximum number of simultaneous downloads allowed |
+| `event_bus` | EventServiceBase   | None | System-wide FastAPI event bus for reporting download events |
+| `requests_session` | requests.sessions.Session   | None | An alternative requests Session object to use for the download |
+
+`max_parallel_dl` specifies how many download jobs are allowed to run
+simultaneously. Each will run in a different thread of execution.
+
+`event_bus` is an EventServiceBase, typically the one created at
+InvokeAI startup. If present, download events are periodically emitted
+on this bus to allow clients to follow download progress.
+
+`requests_session` is a url library requests Session object. It is
+used for testing.
+
+### The Job object
+
+The queue operates on a series of download job objects. These objects
+specify the source and destination of the download, and keep track of
+the progress of the download.
+
+The only job type currently implemented is `DownloadJob`, a pydantic object with the
+following fields:
+
+| **Field**      | **Type**        |  **Default**  | **Description** |
+|----------------|-----------------|---------------|-----------------|
+| _Fields passed in at job creation time_                               |
+| `source`         | AnyHttpUrl      |               | Where to download from |
+| `dest`           | Path            |               | Where to download to              |
+| `access_token`   | str             |               | [optional] string containing authentication token for access |
+| `on_start`       | Callable        |               | [optional] callback when the download starts |
+| `on_progress`    | Callable        |               | [optional] callback called at intervals during download progress |
+| `on_complete`    | Callable        |               | [optional] callback called after successful download completion |
+| `on_error`       | Callable        |               | [optional] callback called after an error occurs  |
+| `id`             | int             | auto assigned | Job ID, an integer >= 0           |
+| `priority`       | int             | 10            | Job priority. Lower priorities run before higher priorities |
+|                                                                                                        |
+| _Fields updated over the course of the download task_
+| `status`         | DownloadJobStatus|              | Status code                                |
+| `download_path`  | Path |              | Path to the location of the downloaded file |
+| `job_started`    | float            |              | Timestamp for when the job started running |
+| `job_ended`      | float            |              | Timestamp for when the job completed or errored out |
+| `job_sequence`   | int              |              | A counter that is incremented each time a model is dequeued |
+| `bytes`          | int              | 0            | Bytes downloaded so far   |
+| `total_bytes`    | int              | 0            | Total size of the file at the remote site  |
+| `error_type`     | str              |              | String version of the exception that caused an error during download |
+| `error`          | str              |              | String version of the traceback associated with an error |
+| `cancelled`      | bool             | False        | Set to true if the job was cancelled by the caller|
+
+When you create a job, you can assign it a `priority`. If multiple
+jobs are queued, the job with the lowest priority runs first.
+
+Every job has a `source` and a `dest`. `source` is a pydantic.networks AnyHttpUrl object.
+The `dest` is a path on the local filesystem that specifies the
+destination for the downloaded object. Its semantics are
+described below.
+
+When the job is submitted, it is assigned a numeric `id`. The id can
+then be used to fetch the job object from the queue.
+
+The `status` field is updated by the queue to indicate where the job
+is in its lifecycle. Values are defined in the string enum
+`DownloadJobStatus`, a symbol available from
+`invokeai.app.services.download_manager`. Possible values are:
+
+| **Value**    |   **String Value**  | ** Description ** |
+|--------------|---------------------|-------------------|
+| `WAITING`      | waiting           | Job is on the queue but not yet running|
+| `RUNNING`      | running           | The download is started                |
+| `COMPLETED`    | completed         | Job has finished its work without an error |
+| `ERROR`        | error             | Job encountered an error and will not run again|
+
+`job_started` and `job_ended` indicate when the job
+was started (using a python timestamp) and when it completed.
+
+In case of an error, the job's status will be set to `DownloadJobStatus.ERROR`, the text of the
+Exception that caused the error will be placed in the `error_type`
+field and the traceback that led to the error will be in `error`.
+
+A cancelled job will have status `DownloadJobStatus.ERROR` and an
+`error_type` field of "DownloadJobCancelledException". In addition,
+the job's `cancelled` property will be set to True.
+
+### Callbacks
+
+Download jobs can be associated with a series of callbacks, each with
+the signature `Callable[["DownloadJob"], None]`. The callbacks are assigned
+using optional arguments `on_start`, `on_progress`, `on_complete` and
+`on_error`. When the corresponding event occurs, the callback wil be
+invoked and passed the job. The callback will be run in a `try:`
+context in the same thread as the download job. Any exceptions that
+occur during execution of the callback will be caught and converted
+into a log error message, thereby allowing the download to continue.
+
+#### `TqdmProgress`
+
+The `invokeai.app.services.download.download_default` module defines a
+class named `TqdmProgress` which can be used as an `on_progress`
+handler to display a completion bar in the console. Use as follows:
+
+```
+from invokeai.app.services.download import TqdmProgress
+
+download_queue.download(source='http://some.server.somewhere/some_file',
+                        dest='/tmp/downloads',
+                        on_progress=TqdmProgress().update
+                        )
+
+```
+
+### Events
+
+If the queue was initialized with the InvokeAI event bus (the case
+when using `ApiDependencies.invoker.services.download_queue`), then
+download events will also be issued on the bus. The events are:
+
+* `download_started` -- This is issued when a job is taken off the
+queue and a request is made to the remote server for the URL headers, but before any data
+has been downloaded. The event payload will contain the keys `source`
+and `download_path`. The latter contains the path that the URL will be
+downloaded to.
+
+* `download_progress -- This is issued periodically as the download
+runs. The payload contains the keys `source`, `download_path`,
+`current_bytes` and `total_bytes`. The latter two fields can be
+used to display the percent complete.
+
+* `download_complete` -- This is issued when the download completes
+successfully. The payload contains the keys `source`, `download_path`
+and `total_bytes`.
+
+* `download_error` -- This is issued when the download stops because
+of an error condition. The payload contains the fields `error_type`
+and `error`. The former is the text representation of the exception,
+and the latter is a traceback showing where the error occurred.
+
+### Job control
+
+To create a job call the queue's `download()` method. You can list all
+jobs using `list_jobs()`, fetch a single job by its with
+`id_to_job()`, cancel a running job with `cancel_job()`, cancel all
+running jobs with `cancel_all_jobs()`, and wait for all jobs to finish
+with `join()`.
+
+#### job = queue.download(source, dest, priority, access_token)
+
+Create a new download job and put it on the queue, returning the
+DownloadJob object.
+
+#### jobs = queue.list_jobs()
+
+Return a list of all active and inactive `DownloadJob`s.
+
+#### job = queue.id_to_job(id)
+
+Return the job corresponding to given ID.
+
+Return a list of all active and inactive `DownloadJob`s.
+
+#### queue.prune_jobs()
+
+Remove inactive (complete or errored) jobs from the listing returned
+by `list_jobs()`.
+
+#### queue.join()
+
+Block until all pending jobs have run to completion or errored out.
+
diff --git a/docs/contributing/contribution_guides/contributingToFrontend.md b/docs/contributing/contribution_guides/contributingToFrontend.md
index d1f0fb7d38..b485fb9a8d 100644
--- a/docs/contributing/contribution_guides/contributingToFrontend.md
+++ b/docs/contributing/contribution_guides/contributingToFrontend.md
@@ -46,17 +46,18 @@ We encourage you to ping @psychedelicious and @blessedcoolant on [Discord](http
 ```bash
 node --version
 ```
-2. Install [yarn classic](https://classic.yarnpkg.com/lang/en/) and confirm it is installed by running this:
+
+2. Install [pnpm](https://pnpm.io/) and confirm it is installed by running this:
 ```bash
-npm install --global yarn
-yarn --version
+npm install --global pnpm
+pnpm --version
 ```
 
-From `invokeai/frontend/web/` run `yarn install` to get everything set up.
+From `invokeai/frontend/web/` run `pnpm install` to get everything set up.
 
 Start everything in dev mode:
 1. Ensure your virtual environment is running
-2. Start the dev server: `yarn dev`
+2. Start the dev server: `pnpm dev`
 3. Start the InvokeAI Nodes backend: `python scripts/invokeai-web.py # run from the repo root`
 4. Point your browser to the dev server address e.g. [http://localhost:5173/](http://localhost:5173/)
 
@@ -72,4 +73,4 @@ For a number of technical and logistical reasons, we need to commit UI build art
 
 If you submit a PR, there is a good chance we will ask you to include a separate commit with a build of the app.
 
-To build for production, run `yarn build`.
\ No newline at end of file
+To build for production, run `pnpm build`.
diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md
index 46615e5ebd..d730af8308 100644
--- a/docs/nodes/communityNodes.md
+++ b/docs/nodes/communityNodes.md
@@ -13,6 +13,7 @@ If you'd prefer, you can also just download the whole node folder from the linke
 To use a community workflow, download the the `.json` node graph file and load it into Invoke AI via the **Load Workflow** button in the Workflow Editor. 
 
 - Community Nodes
+    + [Adapters-Linked](#adapters-linked-nodes)
     + [Average Images](#average-images)
     + [Clean Image Artifacts After Cut](#clean-image-artifacts-after-cut)
     + [Close Color Mask](#close-color-mask) 
@@ -32,8 +33,9 @@ To use a community workflow, download the the `.json` node graph file and load i
     + [Image Resize Plus](#image-resize-plus)
     + [Load Video Frame](#load-video-frame)
     + [Make 3D](#make-3d)
-    + [Mask Operations](#mask-operations)    
+    + [Mask Operations](#mask-operations)
     + [Match Histogram](#match-histogram)
+    + [Metadata-Linked](#metadata-linked-nodes)
     + [Negative Image](#negative-image)    
     + [Oobabooga](#oobabooga)
     + [Prompt Tools](#prompt-tools)
@@ -51,6 +53,19 @@ To use a community workflow, download the the `.json` node graph file and load i
 - [Help](#help)
 
 
+--------------------------------
+### Adapters Linked Nodes
+
+**Description:** A set of nodes for linked adapters (ControlNet, IP-Adaptor & T2I-Adapter). This allows multiple adapters to be chained together without using a `collect` node which means it can be used inside an `iterate` node without any collecting on every iteration issues.
+
+- `ControlNet-Linked` - Collects ControlNet info to pass to other nodes.
+- `IP-Adapter-Linked` - Collects IP-Adapter info to pass to other nodes.
+- `T2I-Adapter-Linked` - Collects T2I-Adapter info to pass to other nodes.
+
+Note: These are inherited from the core nodes so any update to the core nodes should be reflected in these. 
+
+**Node Link:** https://github.com/skunkworxdark/adapters-linked-nodes
+
 --------------------------------
 ### Average Images
 
@@ -307,6 +322,20 @@ See full docs here: https://github.com/skunkworxdark/Prompt-tools-nodes/edit/mai
 
 <img src="https://github.com/skunkworxdark/match_histogram/assets/21961335/ed12f329-a0ef-444a-9bae-129ed60d6097" width="300" />
 
+--------------------------------
+### Metadata Linked Nodes
+
+**Description:** A set of nodes for Metadata. Collect Metadata from within an `iterate` node & extract metadata from an image.
+
+- `Metadata Item Linked` - Allows collecting of metadata while within an iterate node with no need for a collect node or conversion to metadata node.
+- `Metadata From Image` - Provides Metadata from an image.
+- `Metadata To String` - Extracts a String value of a label from metadata.
+- `Metadata To Integer` - Extracts an Integer value of a label from metadata.
+- `Metadata To Float` - Extracts a Float value of a label from metadata.
+- `Metadata To Scheduler` - Extracts a Scheduler value of a label from metadata.
+
+**Node Link:** https://github.com/skunkworxdark/metadata-linked-nodes
+
 --------------------------------
 ### Negative Image
 
diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 2b88efbb95..9a8e06ac1a 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -11,6 +11,7 @@ from ..services.board_images.board_images_default import BoardImagesService
 from ..services.board_records.board_records_sqlite import SqliteBoardRecordStorage
 from ..services.boards.boards_default import BoardService
 from ..services.config import InvokeAIAppConfig
+from ..services.download import DownloadQueueService
 from ..services.image_files.image_files_disk import DiskImageFileStorage
 from ..services.image_records.image_records_sqlite import SqliteImageRecordStorage
 from ..services.images.images_default import ImageService
@@ -29,8 +30,7 @@ from ..services.model_records import ModelRecordServiceSQL
 from ..services.names.names_default import SimpleNameService
 from ..services.session_processor.session_processor_default import DefaultSessionProcessor
 from ..services.session_queue.session_queue_sqlite import SqliteSessionQueue
-from ..services.shared.default_graphs import create_system_graphs
-from ..services.shared.graph import GraphExecutionState, LibraryGraph
+from ..services.shared.graph import GraphExecutionState
 from ..services.urls.urls_default import LocalUrlService
 from ..services.workflow_records.workflow_records_sqlite import SqliteWorkflowRecordsStorage
 from .events import FastAPIEventService
@@ -80,13 +80,13 @@ class ApiDependencies:
         boards = BoardService()
         events = FastAPIEventService(event_handler_id)
         graph_execution_manager = SqliteItemStorage[GraphExecutionState](db=db, table_name="graph_executions")
-        graph_library = SqliteItemStorage[LibraryGraph](db=db, table_name="graphs")
         image_records = SqliteImageRecordStorage(db=db)
         images = ImageService()
         invocation_cache = MemoryInvocationCache(max_cache_size=config.node_cache_size)
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
         model_manager = ModelManagerService(config, logger)
         model_record_service = ModelRecordServiceSQL(db=db)
+        download_queue_service = DownloadQueueService(event_bus=events)
         model_install_service = ModelInstallService(
             app_config=config, record_store=model_record_service, event_bus=events
         )
@@ -107,7 +107,6 @@ class ApiDependencies:
             configuration=configuration,
             events=events,
             graph_execution_manager=graph_execution_manager,
-            graph_library=graph_library,
             image_files=image_files,
             image_records=image_records,
             images=images,
@@ -116,6 +115,7 @@ class ApiDependencies:
             logger=logger,
             model_manager=model_manager,
             model_records=model_record_service,
+            download_queue=download_queue_service,
             model_install=model_install_service,
             names=names,
             performance_statistics=performance_statistics,
@@ -127,8 +127,6 @@ class ApiDependencies:
             workflow_records=workflow_records,
         )
 
-        create_system_graphs(services.graph_library)
-
         ApiDependencies.invoker = Invoker(services)
         db.clean()
 
diff --git a/invokeai/app/api/routers/download_queue.py b/invokeai/app/api/routers/download_queue.py
new file mode 100644
index 0000000000..92b658c370
--- /dev/null
+++ b/invokeai/app/api/routers/download_queue.py
@@ -0,0 +1,111 @@
+# Copyright (c) 2023 Lincoln D. Stein
+"""FastAPI route for the download queue."""
+
+from typing import List, Optional
+
+from fastapi import Body, Path, Response
+from fastapi.routing import APIRouter
+from pydantic.networks import AnyHttpUrl
+from starlette.exceptions import HTTPException
+
+from invokeai.app.services.download import (
+    DownloadJob,
+    UnknownJobIDException,
+)
+
+from ..dependencies import ApiDependencies
+
+download_queue_router = APIRouter(prefix="/v1/download_queue", tags=["download_queue"])
+
+
+@download_queue_router.get(
+    "/",
+    operation_id="list_downloads",
+)
+async def list_downloads() -> List[DownloadJob]:
+    """Get a list of active and inactive jobs."""
+    queue = ApiDependencies.invoker.services.download_queue
+    return queue.list_jobs()
+
+
+@download_queue_router.patch(
+    "/",
+    operation_id="prune_downloads",
+    responses={
+        204: {"description": "All completed jobs have been pruned"},
+        400: {"description": "Bad request"},
+    },
+)
+async def prune_downloads():
+    """Prune completed and errored jobs."""
+    queue = ApiDependencies.invoker.services.download_queue
+    queue.prune_jobs()
+    return Response(status_code=204)
+
+
+@download_queue_router.post(
+    "/i/",
+    operation_id="download",
+)
+async def download(
+    source: AnyHttpUrl = Body(description="download source"),
+    dest: str = Body(description="download destination"),
+    priority: int = Body(default=10, description="queue priority"),
+    access_token: Optional[str] = Body(default=None, description="token for authorization to download"),
+) -> DownloadJob:
+    """Download the source URL to the file or directory indicted in dest."""
+    queue = ApiDependencies.invoker.services.download_queue
+    return queue.download(source, dest, priority, access_token)
+
+
+@download_queue_router.get(
+    "/i/{id}",
+    operation_id="get_download_job",
+    responses={
+        200: {"description": "Success"},
+        404: {"description": "The requested download JobID could not be found"},
+    },
+)
+async def get_download_job(
+    id: int = Path(description="ID of the download job to fetch."),
+) -> DownloadJob:
+    """Get a download job using its ID."""
+    try:
+        job = ApiDependencies.invoker.services.download_queue.id_to_job(id)
+        return job
+    except UnknownJobIDException as e:
+        raise HTTPException(status_code=404, detail=str(e))
+
+
+@download_queue_router.delete(
+    "/i/{id}",
+    operation_id="cancel_download_job",
+    responses={
+        204: {"description": "Job has been cancelled"},
+        404: {"description": "The requested download JobID could not be found"},
+    },
+)
+async def cancel_download_job(
+    id: int = Path(description="ID of the download job to cancel."),
+):
+    """Cancel a download job using its ID."""
+    try:
+        queue = ApiDependencies.invoker.services.download_queue
+        job = queue.id_to_job(id)
+        queue.cancel_job(job)
+        return Response(status_code=204)
+    except UnknownJobIDException as e:
+        raise HTTPException(status_code=404, detail=str(e))
+
+
+@download_queue_router.delete(
+    "/i",
+    operation_id="cancel_all_download_jobs",
+    responses={
+        204: {"description": "Download jobs have been cancelled"},
+    },
+)
+async def cancel_all_download_jobs():
+    """Cancel all download jobs."""
+    ApiDependencies.invoker.services.download_queue.cancel_all_jobs()
+    return Response(status_code=204)
diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index ea28cdfe8e..8cbae23399 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -45,6 +45,7 @@ if True:  # hack to make flake8 happy with imports coming after setting up the c
         app_info,
         board_images,
         boards,
+        download_queue,
         images,
         model_records,
         models,
@@ -116,6 +117,7 @@ app.include_router(sessions.session_router, prefix="/api")
 app.include_router(utilities.utilities_router, prefix="/api")
 app.include_router(models.models_router, prefix="/api")
 app.include_router(model_records.model_records_router, prefix="/api")
+app.include_router(download_queue.download_queue_router, prefix="/api")
 app.include_router(images.images_router, prefix="/api")
 app.include_router(boards.boards_router, prefix="/api")
 app.include_router(board_images.board_images_router, prefix="/api")
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 5494c3261f..49c62cff56 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -1,4 +1,3 @@
-import re
 from dataclasses import dataclass
 from typing import List, Optional, Union
 
@@ -17,6 +16,7 @@ from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.model_management.models import ModelNotFoundException, ModelType
 from ...backend.util.devices import torch_dtype
+from ..util.ti_utils import extract_ti_triggers_from_prompt
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -87,7 +87,7 @@ class CompelInvocation(BaseInvocation):
         # loras = [(context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight) for lora in self.clip.loras]
 
         ti_list = []
-        for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
+        for trigger in extract_ti_triggers_from_prompt(self.prompt):
             name = trigger[1:-1]
             try:
                 ti_list.append(
@@ -210,7 +210,7 @@ class SDXLPromptInvocationBase:
         # loras = [(context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight) for lora in self.clip.loras]
 
         ti_list = []
-        for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
+        for trigger in extract_ti_triggers_from_prompt(prompt):
             name = trigger[1:-1]
             try:
                 ti_list.append(
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 9eca5e083e..759cfde700 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -1,7 +1,6 @@
 # Copyright (c) 2023 Borisov Sergey (https://github.com/StAlKeR7779)
 
 import inspect
-import re
 
 # from contextlib import ExitStack
 from typing import List, Literal, Union
@@ -21,6 +20,7 @@ from invokeai.backend import BaseModelType, ModelType, SubModelType
 from ...backend.model_management import ONNXModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.util import choose_torch_device
+from ..util.ti_utils import extract_ti_triggers_from_prompt
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -78,7 +78,7 @@ class ONNXPromptInvocation(BaseInvocation):
             ]
 
             ti_list = []
-            for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
+            for trigger in extract_ti_triggers_from_prompt(self.prompt):
                 name = trigger[1:-1]
                 try:
                     ti_list.append(
diff --git a/invokeai/app/services/config/config_default.py b/invokeai/app/services/config/config_default.py
index a55bcd3a21..180c4a4b3e 100644
--- a/invokeai/app/services/config/config_default.py
+++ b/invokeai/app/services/config/config_default.py
@@ -356,7 +356,7 @@ class InvokeAIAppConfig(InvokeAISettings):
         else:
             root = self.find_root().expanduser().absolute()
         self.root = root  # insulate ourselves from relative paths that may change
-        return root
+        return root.resolve()
 
     @property
     def root_dir(self) -> Path:
diff --git a/invokeai/app/services/download/__init__.py b/invokeai/app/services/download/__init__.py
new file mode 100644
index 0000000000..04c1dfdb1d
--- /dev/null
+++ b/invokeai/app/services/download/__init__.py
@@ -0,0 +1,12 @@
+"""Init file for download queue."""
+from .download_base import DownloadJob, DownloadJobStatus, DownloadQueueServiceBase, UnknownJobIDException
+from .download_default import DownloadQueueService, TqdmProgress
+
+__all__ = [
+    "DownloadJob",
+    "DownloadQueueServiceBase",
+    "DownloadQueueService",
+    "TqdmProgress",
+    "DownloadJobStatus",
+    "UnknownJobIDException",
+]
diff --git a/invokeai/app/services/download/download_base.py b/invokeai/app/services/download/download_base.py
new file mode 100644
index 0000000000..7ac5425443
--- /dev/null
+++ b/invokeai/app/services/download/download_base.py
@@ -0,0 +1,217 @@
+# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
+"""Model download service."""
+
+from abc import ABC, abstractmethod
+from enum import Enum
+from functools import total_ordering
+from pathlib import Path
+from typing import Any, Callable, List, Optional
+
+from pydantic import BaseModel, Field, PrivateAttr
+from pydantic.networks import AnyHttpUrl
+
+
+class DownloadJobStatus(str, Enum):
+    """State of a download job."""
+
+    WAITING = "waiting"  # not enqueued, will not run
+    RUNNING = "running"  # actively downloading
+    COMPLETED = "completed"  # finished running
+    CANCELLED = "cancelled"  # user cancelled
+    ERROR = "error"  # terminated with an error message
+
+
+class DownloadJobCancelledException(Exception):
+    """This exception is raised when a download job is cancelled."""
+
+
+class UnknownJobIDException(Exception):
+    """This exception is raised when an invalid job id is referened."""
+
+
+class ServiceInactiveException(Exception):
+    """This exception is raised when user attempts to initiate a download before the service is started."""
+
+
+DownloadEventHandler = Callable[["DownloadJob"], None]
+
+
+@total_ordering
+class DownloadJob(BaseModel):
+    """Class to monitor and control a model download request."""
+
+    # required variables to be passed in on creation
+    source: AnyHttpUrl = Field(description="Where to download from. Specific types specified in child classes.")
+    dest: Path = Field(description="Destination of downloaded model on local disk; a directory or file path")
+    access_token: Optional[str] = Field(default=None, description="authorization token for protected resources")
+    # automatically assigned on creation
+    id: int = Field(description="Numeric ID of this job", default=-1)  # default id is a sentinel
+    priority: int = Field(default=10, description="Queue priority; lower values are higher priority")
+
+    # set internally during download process
+    status: DownloadJobStatus = Field(default=DownloadJobStatus.WAITING, description="Status of the download")
+    download_path: Optional[Path] = Field(default=None, description="Final location of downloaded file")
+    job_started: Optional[str] = Field(default=None, description="Timestamp for when the download job started")
+    job_ended: Optional[str] = Field(
+        default=None, description="Timestamp for when the download job ende1d (completed or errored)"
+    )
+    bytes: int = Field(default=0, description="Bytes downloaded so far")
+    total_bytes: int = Field(default=0, description="Total file size (bytes)")
+
+    # set when an error occurs
+    error_type: Optional[str] = Field(default=None, description="Name of exception that caused an error")
+    error: Optional[str] = Field(default=None, description="Traceback of the exception that caused an error")
+
+    # internal flag
+    _cancelled: bool = PrivateAttr(default=False)
+
+    # optional event handlers passed in on creation
+    _on_start: Optional[DownloadEventHandler] = PrivateAttr(default=None)
+    _on_progress: Optional[DownloadEventHandler] = PrivateAttr(default=None)
+    _on_complete: Optional[DownloadEventHandler] = PrivateAttr(default=None)
+    _on_cancelled: Optional[DownloadEventHandler] = PrivateAttr(default=None)
+    _on_error: Optional[DownloadEventHandler] = PrivateAttr(default=None)
+
+    def __le__(self, other: "DownloadJob") -> bool:
+        """Return True if this job's priority is less than another's."""
+        return self.priority <= other.priority
+
+    def cancel(self) -> None:
+        """Call to cancel the job."""
+        self._cancelled = True
+
+    # cancelled and the callbacks are private attributes in order to prevent
+    # them from being serialized and/or used in the Json Schema
+    @property
+    def cancelled(self) -> bool:
+        """Call to cancel the job."""
+        return self._cancelled
+
+    @property
+    def on_start(self) -> Optional[DownloadEventHandler]:
+        """Return the on_start event handler."""
+        return self._on_start
+
+    @property
+    def on_progress(self) -> Optional[DownloadEventHandler]:
+        """Return the on_progress event handler."""
+        return self._on_progress
+
+    @property
+    def on_complete(self) -> Optional[DownloadEventHandler]:
+        """Return the on_complete event handler."""
+        return self._on_complete
+
+    @property
+    def on_error(self) -> Optional[DownloadEventHandler]:
+        """Return the on_error event handler."""
+        return self._on_error
+
+    @property
+    def on_cancelled(self) -> Optional[DownloadEventHandler]:
+        """Return the on_cancelled event handler."""
+        return self._on_cancelled
+
+    def set_callbacks(
+        self,
+        on_start: Optional[DownloadEventHandler] = None,
+        on_progress: Optional[DownloadEventHandler] = None,
+        on_complete: Optional[DownloadEventHandler] = None,
+        on_cancelled: Optional[DownloadEventHandler] = None,
+        on_error: Optional[DownloadEventHandler] = None,
+    ) -> None:
+        """Set the callbacks for download events."""
+        self._on_start = on_start
+        self._on_progress = on_progress
+        self._on_complete = on_complete
+        self._on_error = on_error
+        self._on_cancelled = on_cancelled
+
+
+class DownloadQueueServiceBase(ABC):
+    """Multithreaded queue for downloading models via URL."""
+
+    @abstractmethod
+    def start(self, *args: Any, **kwargs: Any) -> None:
+        """Start the download worker threads."""
+
+    @abstractmethod
+    def stop(self, *args: Any, **kwargs: Any) -> None:
+        """Stop the download worker threads."""
+
+    @abstractmethod
+    def download(
+        self,
+        source: AnyHttpUrl,
+        dest: Path,
+        priority: int = 10,
+        access_token: Optional[str] = None,
+        on_start: Optional[DownloadEventHandler] = None,
+        on_progress: Optional[DownloadEventHandler] = None,
+        on_complete: Optional[DownloadEventHandler] = None,
+        on_cancelled: Optional[DownloadEventHandler] = None,
+        on_error: Optional[DownloadEventHandler] = None,
+    ) -> DownloadJob:
+        """
+        Create a download job.
+
+        :param source: Source of the download as a URL.
+        :param dest: Path to download to. See below.
+        :param on_start, on_progress, on_complete, on_error: Callbacks for the indicated
+         events.
+        :returns: A DownloadJob object for monitoring the state of the download.
+
+        The `dest` argument is a Path object. Its behavior is:
+
+        1. If the path exists and is a directory, then the URL contents will be downloaded
+            into that directory using the filename indicated in the response's `Content-Disposition` field.
+            If no content-disposition is present, then the last component of the URL will be used (similar to
+            wget's behavior).
+        2. If the path does not exist, then it is taken as the name of a new file to create with the downloaded
+           content.
+        3. If the path exists and is an existing file, then the downloader will try to resume the download from
+           the end of the existing file.
+
+        """
+        pass
+
+    @abstractmethod
+    def list_jobs(self) -> List[DownloadJob]:
+        """
+        List active download jobs.
+
+        :returns List[DownloadJob]: List of download jobs whose state is not "completed."
+        """
+        pass
+
+    @abstractmethod
+    def id_to_job(self, id: int) -> DownloadJob:
+        """
+        Return the DownloadJob corresponding to the integer ID.
+
+        :param id: ID of the DownloadJob.
+
+        Exceptions:
+        * UnknownJobIDException
+        """
+        pass
+
+    @abstractmethod
+    def cancel_all_jobs(self):
+        """Cancel all active and enquedjobs."""
+        pass
+
+    @abstractmethod
+    def prune_jobs(self):
+        """Prune completed and errored queue items from the job list."""
+        pass
+
+    @abstractmethod
+    def cancel_job(self, job: DownloadJob):
+        """Cancel the job, clearing partial downloads and putting it into ERROR state."""
+        pass
+
+    @abstractmethod
+    def join(self):
+        """Wait until all jobs are off the queue."""
+        pass
diff --git a/invokeai/app/services/download/download_default.py b/invokeai/app/services/download/download_default.py
new file mode 100644
index 0000000000..0f1dca4adc
--- /dev/null
+++ b/invokeai/app/services/download/download_default.py
@@ -0,0 +1,418 @@
+# Copyright (c) 2023, Lincoln D. Stein
+"""Implementation of multithreaded download queue for invokeai."""
+
+import os
+import re
+import threading
+import traceback
+from logging import Logger
+from pathlib import Path
+from queue import Empty, PriorityQueue
+from typing import Any, Dict, List, Optional, Set
+
+import requests
+from pydantic.networks import AnyHttpUrl
+from requests import HTTPError
+from tqdm import tqdm
+
+from invokeai.app.services.events.events_base import EventServiceBase
+from invokeai.app.util.misc import get_iso_timestamp
+from invokeai.backend.util.logging import InvokeAILogger
+
+from .download_base import (
+    DownloadEventHandler,
+    DownloadJob,
+    DownloadJobCancelledException,
+    DownloadJobStatus,
+    DownloadQueueServiceBase,
+    ServiceInactiveException,
+    UnknownJobIDException,
+)
+
+# Maximum number of bytes to download during each call to requests.iter_content()
+DOWNLOAD_CHUNK_SIZE = 100000
+
+
+class DownloadQueueService(DownloadQueueServiceBase):
+    """Class for queued download of models."""
+
+    _jobs: Dict[int, DownloadJob]
+    _max_parallel_dl: int = 5
+    _worker_pool: Set[threading.Thread]
+    _queue: PriorityQueue[DownloadJob]
+    _stop_event: threading.Event
+    _lock: threading.Lock
+    _logger: Logger
+    _events: Optional[EventServiceBase] = None
+    _next_job_id: int = 0
+    _accept_download_requests: bool = False
+    _requests: requests.sessions.Session
+
+    def __init__(
+        self,
+        max_parallel_dl: int = 5,
+        event_bus: Optional[EventServiceBase] = None,
+        requests_session: Optional[requests.sessions.Session] = None,
+    ):
+        """
+        Initialize DownloadQueue.
+
+        :param max_parallel_dl: Number of simultaneous downloads allowed [5].
+        :param requests_session: Optional requests.sessions.Session object, for unit tests.
+        """
+        self._jobs = {}
+        self._next_job_id = 0
+        self._queue = PriorityQueue()
+        self._stop_event = threading.Event()
+        self._worker_pool = set()
+        self._lock = threading.Lock()
+        self._logger = InvokeAILogger.get_logger("DownloadQueueService")
+        self._event_bus = event_bus
+        self._requests = requests_session or requests.Session()
+        self._accept_download_requests = False
+        self._max_parallel_dl = max_parallel_dl
+
+    def start(self, *args: Any, **kwargs: Any) -> None:
+        """Start the download worker threads."""
+        with self._lock:
+            if self._worker_pool:
+                raise Exception("Attempt to start the download service twice")
+            self._stop_event.clear()
+            self._start_workers(self._max_parallel_dl)
+            self._accept_download_requests = True
+
+    def stop(self, *args: Any, **kwargs: Any) -> None:
+        """Stop the download worker threads."""
+        with self._lock:
+            if not self._worker_pool:
+                raise Exception("Attempt to stop the download service before it was started")
+            self._accept_download_requests = False  # reject attempts to add new jobs to queue
+            queued_jobs = [x for x in self.list_jobs() if x.status == DownloadJobStatus.WAITING]
+            active_jobs = [x for x in self.list_jobs() if x.status == DownloadJobStatus.RUNNING]
+            if queued_jobs:
+                self._logger.warning(f"Cancelling {len(queued_jobs)} queued downloads")
+            if active_jobs:
+                self._logger.info(f"Waiting for {len(active_jobs)} active download jobs to complete")
+            with self._queue.mutex:
+                self._queue.queue.clear()
+            self.join()  # wait for all active jobs to finish
+            self._stop_event.set()
+            self._worker_pool.clear()
+
+    def download(
+        self,
+        source: AnyHttpUrl,
+        dest: Path,
+        priority: int = 10,
+        access_token: Optional[str] = None,
+        on_start: Optional[DownloadEventHandler] = None,
+        on_progress: Optional[DownloadEventHandler] = None,
+        on_complete: Optional[DownloadEventHandler] = None,
+        on_cancelled: Optional[DownloadEventHandler] = None,
+        on_error: Optional[DownloadEventHandler] = None,
+    ) -> DownloadJob:
+        """Create a download job and return its ID."""
+        if not self._accept_download_requests:
+            raise ServiceInactiveException(
+                "The download service is not currently accepting requests. Please call start() to initialize the service."
+            )
+        with self._lock:
+            id = self._next_job_id
+            self._next_job_id += 1
+            job = DownloadJob(
+                id=id,
+                source=source,
+                dest=dest,
+                priority=priority,
+                access_token=access_token,
+            )
+            job.set_callbacks(
+                on_start=on_start,
+                on_progress=on_progress,
+                on_complete=on_complete,
+                on_cancelled=on_cancelled,
+                on_error=on_error,
+            )
+            self._jobs[id] = job
+            self._queue.put(job)
+        return job
+
+    def join(self) -> None:
+        """Wait for all jobs to complete."""
+        self._queue.join()
+
+    def list_jobs(self) -> List[DownloadJob]:
+        """List all the jobs."""
+        return list(self._jobs.values())
+
+    def prune_jobs(self) -> None:
+        """Prune completed and errored queue items from the job list."""
+        with self._lock:
+            to_delete = set()
+            for job_id, job in self._jobs.items():
+                if self._in_terminal_state(job):
+                    to_delete.add(job_id)
+            for job_id in to_delete:
+                del self._jobs[job_id]
+
+    def id_to_job(self, id: int) -> DownloadJob:
+        """Translate a job ID into a DownloadJob object."""
+        try:
+            return self._jobs[id]
+        except KeyError as excp:
+            raise UnknownJobIDException("Unrecognized job") from excp
+
+    def cancel_job(self, job: DownloadJob) -> None:
+        """
+        Cancel the indicated job.
+
+        If it is running it will be stopped.
+        job.status will be set to DownloadJobStatus.CANCELLED
+        """
+        with self._lock:
+            job.cancel()
+
+    def cancel_all_jobs(self, preserve_partial: bool = False) -> None:
+        """Cancel all jobs (those not in enqueued, running or paused state)."""
+        for job in self._jobs.values():
+            if not self._in_terminal_state(job):
+                self.cancel_job(job)
+
+    def _in_terminal_state(self, job: DownloadJob) -> bool:
+        return job.status in [
+            DownloadJobStatus.COMPLETED,
+            DownloadJobStatus.CANCELLED,
+            DownloadJobStatus.ERROR,
+        ]
+
+    def _start_workers(self, max_workers: int) -> None:
+        """Start the requested number of worker threads."""
+        self._stop_event.clear()
+        for i in range(0, max_workers):  # noqa B007
+            worker = threading.Thread(target=self._download_next_item, daemon=True)
+            self._logger.debug(f"Download queue worker thread {worker.name} starting.")
+            worker.start()
+            self._worker_pool.add(worker)
+
+    def _download_next_item(self) -> None:
+        """Worker thread gets next job on priority queue."""
+        done = False
+        while not done:
+            if self._stop_event.is_set():
+                done = True
+                continue
+            try:
+                job = self._queue.get(timeout=1)
+            except Empty:
+                continue
+
+            try:
+                job.job_started = get_iso_timestamp()
+                self._do_download(job)
+                self._signal_job_complete(job)
+
+            except (OSError, HTTPError) as excp:
+                job.error_type = excp.__class__.__name__ + f"({str(excp)})"
+                job.error = traceback.format_exc()
+                self._signal_job_error(job)
+            except DownloadJobCancelledException:
+                self._signal_job_cancelled(job)
+                self._cleanup_cancelled_job(job)
+
+            finally:
+                job.job_ended = get_iso_timestamp()
+                self._queue.task_done()
+        self._logger.debug(f"Download queue worker thread {threading.current_thread().name} exiting.")
+
+    def _do_download(self, job: DownloadJob) -> None:
+        """Do the actual download."""
+        url = job.source
+        header = {"Authorization": f"Bearer {job.access_token}"} if job.access_token else {}
+        open_mode = "wb"
+
+        # Make a streaming request. This will retrieve headers including
+        # content-length and content-disposition, but not fetch any content itself
+        resp = self._requests.get(str(url), headers=header, stream=True)
+        if not resp.ok:
+            raise HTTPError(resp.reason)
+        content_length = int(resp.headers.get("content-length", 0))
+        job.total_bytes = content_length
+
+        if job.dest.is_dir():
+            file_name = os.path.basename(str(url.path))  # default is to use the last bit of the URL
+
+            if match := re.search('filename="(.+)"', resp.headers.get("Content-Disposition", "")):
+                remote_name = match.group(1)
+                if self._validate_filename(job.dest.as_posix(), remote_name):
+                    file_name = remote_name
+
+            job.download_path = job.dest / file_name
+
+        else:
+            job.dest.parent.mkdir(parents=True, exist_ok=True)
+            job.download_path = job.dest
+
+        assert job.download_path
+
+        # Don't clobber an existing file. See commit 82c2c85202f88c6d24ff84710f297cfc6ae174af
+        # for code that instead resumes an interrupted download.
+        if job.download_path.exists():
+            raise OSError(f"[Errno 17] File {job.download_path} exists")
+
+        # append ".downloading" to the path
+        in_progress_path = self._in_progress_path(job.download_path)
+
+        # signal caller that the download is starting. At this point, key fields such as
+        # download_path and total_bytes will be populated. We call it here because the might
+        # discover that the local file is already complete and generate a COMPLETED status.
+        self._signal_job_started(job)
+
+        # "range not satisfiable" - local file is at least as large as the remote file
+        if resp.status_code == 416 or (content_length > 0 and job.bytes >= content_length):
+            self._logger.warning(f"{job.download_path}: complete file found. Skipping.")
+            return
+
+        # "partial content" - local file is smaller than remote file
+        elif resp.status_code == 206 or job.bytes > 0:
+            self._logger.warning(f"{job.download_path}: partial file found. Resuming")
+
+        # some other error
+        elif resp.status_code != 200:
+            raise HTTPError(resp.reason)
+
+        self._logger.debug(f"{job.source}: Downloading {job.download_path}")
+        report_delta = job.total_bytes / 100  # report every 1% change
+        last_report_bytes = 0
+
+        # DOWNLOAD LOOP
+        with open(in_progress_path, open_mode) as file:
+            for data in resp.iter_content(chunk_size=DOWNLOAD_CHUNK_SIZE):
+                if job.cancelled:
+                    raise DownloadJobCancelledException("Job was cancelled at caller's request")
+
+                job.bytes += file.write(data)
+                if (job.bytes - last_report_bytes >= report_delta) or (job.bytes >= job.total_bytes):
+                    last_report_bytes = job.bytes
+                    self._signal_job_progress(job)
+
+        # if we get here we are done and can rename the file to the original dest
+        in_progress_path.rename(job.download_path)
+
+    def _validate_filename(self, directory: str, filename: str) -> bool:
+        pc_name_max = os.pathconf(directory, "PC_NAME_MAX") if hasattr(os, "pathconf") else 260  # hardcoded for windows
+        pc_path_max = (
+            os.pathconf(directory, "PC_PATH_MAX") if hasattr(os, "pathconf") else 32767
+        )  # hardcoded for windows with long names enabled
+        if "/" in filename:
+            return False
+        if filename.startswith(".."):
+            return False
+        if len(filename) > pc_name_max:
+            return False
+        if len(os.path.join(directory, filename)) > pc_path_max:
+            return False
+        return True
+
+    def _in_progress_path(self, path: Path) -> Path:
+        return path.with_name(path.name + ".downloading")
+
+    def _signal_job_started(self, job: DownloadJob) -> None:
+        job.status = DownloadJobStatus.RUNNING
+        if job.on_start:
+            try:
+                job.on_start(job)
+            except Exception as e:
+                self._logger.error(e)
+        if self._event_bus:
+            assert job.download_path
+            self._event_bus.emit_download_started(str(job.source), job.download_path.as_posix())
+
+    def _signal_job_progress(self, job: DownloadJob) -> None:
+        if job.on_progress:
+            try:
+                job.on_progress(job)
+            except Exception as e:
+                self._logger.error(e)
+        if self._event_bus:
+            assert job.download_path
+            self._event_bus.emit_download_progress(
+                str(job.source),
+                download_path=job.download_path.as_posix(),
+                current_bytes=job.bytes,
+                total_bytes=job.total_bytes,
+            )
+
+    def _signal_job_complete(self, job: DownloadJob) -> None:
+        job.status = DownloadJobStatus.COMPLETED
+        if job.on_complete:
+            try:
+                job.on_complete(job)
+            except Exception as e:
+                self._logger.error(e)
+        if self._event_bus:
+            assert job.download_path
+            self._event_bus.emit_download_complete(
+                str(job.source), download_path=job.download_path.as_posix(), total_bytes=job.total_bytes
+            )
+
+    def _signal_job_cancelled(self, job: DownloadJob) -> None:
+        job.status = DownloadJobStatus.CANCELLED
+        if job.on_cancelled:
+            try:
+                job.on_cancelled(job)
+            except Exception as e:
+                self._logger.error(e)
+        if self._event_bus:
+            self._event_bus.emit_download_cancelled(str(job.source))
+
+    def _signal_job_error(self, job: DownloadJob) -> None:
+        job.status = DownloadJobStatus.ERROR
+        if job.on_error:
+            try:
+                job.on_error(job)
+            except Exception as e:
+                self._logger.error(e)
+        if self._event_bus:
+            assert job.error_type
+            assert job.error
+            self._event_bus.emit_download_error(str(job.source), error_type=job.error_type, error=job.error)
+
+    def _cleanup_cancelled_job(self, job: DownloadJob) -> None:
+        self._logger.warning(f"Cleaning up leftover files from cancelled download job {job.download_path}")
+        try:
+            if job.download_path:
+                partial_file = self._in_progress_path(job.download_path)
+                partial_file.unlink()
+        except OSError as excp:
+            self._logger.warning(excp)
+
+
+# Example on_progress event handler to display a TQDM status bar
+# Activate with:
+#   download_service.download('http://foo.bar/baz', '/tmp', on_progress=TqdmProgress().job_update
+class TqdmProgress(object):
+    """TQDM-based progress bar object to use in on_progress handlers."""
+
+    _bars: Dict[int, tqdm]  # the tqdm object
+    _last: Dict[int, int]  # last bytes downloaded
+
+    def __init__(self) -> None:  # noqa D107
+        self._bars = {}
+        self._last = {}
+
+    def update(self, job: DownloadJob) -> None:  # noqa D102
+        job_id = job.id
+        # new job
+        if job_id not in self._bars:
+            assert job.download_path
+            dest = Path(job.download_path).name
+            self._bars[job_id] = tqdm(
+                desc=dest,
+                initial=0,
+                total=job.total_bytes,
+                unit="iB",
+                unit_scale=True,
+            )
+            self._last[job_id] = 0
+        self._bars[job_id].update(job.bytes - self._last[job_id])
+        self._last[job_id] = job.bytes
diff --git a/invokeai/app/services/events/events_base.py b/invokeai/app/services/events/events_base.py
index 93b84afaf1..16e7d72b2a 100644
--- a/invokeai/app/services/events/events_base.py
+++ b/invokeai/app/services/events/events_base.py
@@ -17,6 +17,7 @@ from invokeai.backend.model_management.models.base import BaseModelType, ModelTy
 
 class EventServiceBase:
     queue_event: str = "queue_event"
+    download_event: str = "download_event"
     model_event: str = "model_event"
 
     """Basic event bus, to have an empty stand-in when not needed"""
@@ -32,6 +33,13 @@ class EventServiceBase:
             payload={"event": event_name, "data": payload},
         )
 
+    def __emit_download_event(self, event_name: str, payload: dict) -> None:
+        payload["timestamp"] = get_timestamp()
+        self.dispatch(
+            event_name=EventServiceBase.download_event,
+            payload={"event": event_name, "data": payload},
+        )
+
     def __emit_model_event(self, event_name: str, payload: dict) -> None:
         payload["timestamp"] = get_timestamp()
         self.dispatch(
@@ -323,6 +331,79 @@ class EventServiceBase:
             payload={"queue_id": queue_id},
         )
 
+    def emit_download_started(self, source: str, download_path: str) -> None:
+        """
+        Emit when a download job is started.
+
+        :param url: The downloaded url
+        """
+        self.__emit_download_event(
+            event_name="download_started",
+            payload={"source": source, "download_path": download_path},
+        )
+
+    def emit_download_progress(self, source: str, download_path: str, current_bytes: int, total_bytes: int) -> None:
+        """
+        Emit "download_progress" events at regular intervals during a download job.
+
+        :param source: The downloaded source
+        :param download_path: The local downloaded file
+        :param current_bytes: Number of bytes downloaded so far
+        :param total_bytes: The size of the file being downloaded (if known)
+        """
+        self.__emit_download_event(
+            event_name="download_progress",
+            payload={
+                "source": source,
+                "download_path": download_path,
+                "current_bytes": current_bytes,
+                "total_bytes": total_bytes,
+            },
+        )
+
+    def emit_download_complete(self, source: str, download_path: str, total_bytes: int) -> None:
+        """
+        Emit a "download_complete" event at the end of a successful download.
+
+        :param source: Source URL
+        :param download_path: Path to the locally downloaded file
+        :param total_bytes: The size of the downloaded file
+        """
+        self.__emit_download_event(
+            event_name="download_complete",
+            payload={
+                "source": source,
+                "download_path": download_path,
+                "total_bytes": total_bytes,
+            },
+        )
+
+    def emit_download_cancelled(self, source: str) -> None:
+        """Emit a "download_cancelled" event in the event that the download was cancelled by user."""
+        self.__emit_download_event(
+            event_name="download_cancelled",
+            payload={
+                "source": source,
+            },
+        )
+
+    def emit_download_error(self, source: str, error_type: str, error: str) -> None:
+        """
+        Emit a "download_error" event when an download job encounters an exception.
+
+        :param source: Source URL
+        :param error_type: The name of the exception that raised the error
+        :param error: The traceback from this error
+        """
+        self.__emit_download_event(
+            event_name="download_error",
+            payload={
+                "source": source,
+                "error_type": error_type,
+                "error": error,
+            },
+        )
+
     def emit_model_install_started(self, source: str) -> None:
         """
         Emitted when an install job is started.
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index 6a308ab096..11a4de99d6 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -11,6 +11,7 @@ if TYPE_CHECKING:
     from .board_records.board_records_base import BoardRecordStorageBase
     from .boards.boards_base import BoardServiceABC
     from .config import InvokeAIAppConfig
+    from .download import DownloadQueueServiceBase
     from .events.events_base import EventServiceBase
     from .image_files.image_files_base import ImageFileStorageBase
     from .image_records.image_records_base import ImageRecordStorageBase
@@ -27,7 +28,7 @@ if TYPE_CHECKING:
     from .names.names_base import NameServiceBase
     from .session_processor.session_processor_base import SessionProcessorBase
     from .session_queue.session_queue_base import SessionQueueBase
-    from .shared.graph import GraphExecutionState, LibraryGraph
+    from .shared.graph import GraphExecutionState
     from .urls.urls_base import UrlServiceBase
     from .workflow_records.workflow_records_base import WorkflowRecordsStorageBase
 
@@ -43,7 +44,6 @@ class InvocationServices:
     configuration: "InvokeAIAppConfig"
     events: "EventServiceBase"
     graph_execution_manager: "ItemStorageABC[GraphExecutionState]"
-    graph_library: "ItemStorageABC[LibraryGraph]"
     images: "ImageServiceABC"
     image_records: "ImageRecordStorageBase"
     image_files: "ImageFileStorageBase"
@@ -51,6 +51,7 @@ class InvocationServices:
     logger: "Logger"
     model_manager: "ModelManagerServiceBase"
     model_records: "ModelRecordServiceBase"
+    download_queue: "DownloadQueueServiceBase"
     model_install: "ModelInstallServiceBase"
     processor: "InvocationProcessorABC"
     performance_statistics: "InvocationStatsServiceBase"
@@ -71,7 +72,6 @@ class InvocationServices:
         configuration: "InvokeAIAppConfig",
         events: "EventServiceBase",
         graph_execution_manager: "ItemStorageABC[GraphExecutionState]",
-        graph_library: "ItemStorageABC[LibraryGraph]",
         images: "ImageServiceABC",
         image_files: "ImageFileStorageBase",
         image_records: "ImageRecordStorageBase",
@@ -79,6 +79,7 @@ class InvocationServices:
         logger: "Logger",
         model_manager: "ModelManagerServiceBase",
         model_records: "ModelRecordServiceBase",
+        download_queue: "DownloadQueueServiceBase",
         model_install: "ModelInstallServiceBase",
         processor: "InvocationProcessorABC",
         performance_statistics: "InvocationStatsServiceBase",
@@ -97,7 +98,6 @@ class InvocationServices:
         self.configuration = configuration
         self.events = events
         self.graph_execution_manager = graph_execution_manager
-        self.graph_library = graph_library
         self.images = images
         self.image_files = image_files
         self.image_records = image_records
@@ -105,6 +105,7 @@ class InvocationServices:
         self.logger = logger
         self.model_manager = model_manager
         self.model_records = model_records
+        self.download_queue = download_queue
         self.model_install = model_install
         self.processor = processor
         self.performance_statistics = performance_statistics
diff --git a/invokeai/app/services/model_install/model_install_base.py b/invokeai/app/services/model_install/model_install_base.py
index 80b493d02e..3146b5350a 100644
--- a/invokeai/app/services/model_install/model_install_base.py
+++ b/invokeai/app/services/model_install/model_install_base.py
@@ -11,7 +11,6 @@ from typing_extensions import Annotated
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.app.services.events import EventServiceBase
-from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.model_records import ModelRecordServiceBase
 from invokeai.backend.model_manager import AnyModelConfig
 
@@ -157,12 +156,12 @@ class ModelInstallServiceBase(ABC):
         :param event_bus: InvokeAI event bus for reporting events to.
         """
 
-    def start(self, invoker: Invoker) -> None:
-        """Call at InvokeAI startup time."""
-        self.sync_to_config()
+    @abstractmethod
+    def start(self, *args: Any, **kwarg: Any) -> None:
+        """Start the installer service."""
 
     @abstractmethod
-    def stop(self) -> None:
+    def stop(self, *args: Any, **kwarg: Any) -> None:
         """Stop the model install service. After this the objection can be safely deleted."""
 
     @property
diff --git a/invokeai/app/services/model_install/model_install_default.py b/invokeai/app/services/model_install/model_install_default.py
index 70cc4d5018..3dcb7c527e 100644
--- a/invokeai/app/services/model_install/model_install_default.py
+++ b/invokeai/app/services/model_install/model_install_default.py
@@ -71,7 +71,6 @@ class ModelInstallService(ModelInstallServiceBase):
         self._install_queue = Queue()
         self._cached_model_paths = set()
         self._models_installed = set()
-        self._start_installer_thread()
 
     @property
     def app_config(self) -> InvokeAIAppConfig:  # noqa D102
@@ -85,8 +84,13 @@ class ModelInstallService(ModelInstallServiceBase):
     def event_bus(self) -> Optional[EventServiceBase]:  # noqa D102
         return self._event_bus
 
-    def stop(self, *args, **kwargs) -> None:
-        """Stop the install thread; after this the object can be deleted and garbage collected."""
+    def start(self, *args: Any, **kwarg: Any) -> None:
+        """Start the installer thread."""
+        self._start_installer_thread()
+        self.sync_to_config()
+
+    def stop(self, *args: Any, **kwarg: Any) -> None:
+        """Stop the installer thread; after this the object can be deleted and garbage collected."""
         self._install_queue.put(STOP_JOB)
 
     def _start_installer_thread(self) -> None:
diff --git a/invokeai/app/services/workflow_records/default_workflows/ESRGAN Upscaling with Canny ControlNet.json b/invokeai/app/services/workflow_records/default_workflows/ESRGAN Upscaling with Canny ControlNet.json
new file mode 100644
index 0000000000..5c2d200ec2
--- /dev/null
+++ b/invokeai/app/services/workflow_records/default_workflows/ESRGAN Upscaling with Canny ControlNet.json	
@@ -0,0 +1,1364 @@
+{
+  "id": "6bfa0b3a-7090-4cd9-ad2d-a4b8662b6e71",
+  "name": "ESRGAN Upscaling with Canny ControlNet",
+  "author": "InvokeAI",
+  "description": "Sample workflow for using Upscaling with ControlNet with SD1.5",
+  "version": "1.0.1",
+  "contact": "invoke@invoke.ai",
+  "tags": "upscale, controlnet, default",
+  "notes": "",
+  "exposedFields": [
+    {
+      "nodeId": "d8ace142-c05f-4f1d-8982-88dc7473958d",
+      "fieldName": "model"
+    },
+    {
+      "nodeId": "63b6ab7e-5b05-4d1b-a3b1-42d8e53ce16b",
+      "fieldName": "prompt"
+    },
+    {
+      "nodeId": "771bdf6a-0813-4099-a5d8-921a138754d4",
+      "fieldName": "image"
+    }
+  ],
+  "meta": {
+    "category": "default",
+    "version": "2.0.0"
+  },
+  "nodes": [
+    {
+      "id": "e8bf67fe-67de-4227-87eb-79e86afdfc74",
+      "type": "invocation",
+      "data": {
+        "id": "e8bf67fe-67de-4227-87eb-79e86afdfc74",
+        "type": "compel",
+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "isIntermediate": true,
+        "useCache": true,
+        "version": "1.0.0",
+        "nodePack": "invokeai",
+        "inputs": {
+          "prompt": {
+            "id": "5f762fae-d791-42d9-8ab5-2b830c33ff20",
+            "name": "prompt",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "StringField"
+            },
+            "value": ""
+          },
+          "clip": {
+            "id": "8ac95f40-317d-4513-bbba-b99effd3b438",
+            "name": "clip",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ClipField"
+            }
+          }
+        },
+        "outputs": {
+          "conditioning": {
+            "id": "46c65b2b-c0b5-40c2-b183-74e9451c6d56",
+            "name": "conditioning",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ConditioningField"
+            }
+          }
+        }
+      },
+      "width": 320,
+      "height": 256,
+      "position": {
+        "x": 1250,
+        "y": 1500
+      }
+    },
+    {
+      "id": "d8ace142-c05f-4f1d-8982-88dc7473958d",
+      "type": "invocation",
+      "data": {
+        "id": "d8ace142-c05f-4f1d-8982-88dc7473958d",
+        "type": "main_model_loader",
+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "isIntermediate": true,
+        "useCache": true,
+        "version": "1.0.0",
+        "nodePack": "invokeai",
+        "inputs": {
+          "model": {
+            "id": "b35ae88a-f2d2-43f6-958c-8c624391250f",
+            "name": "model",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "MainModelField"
+            },
+            "value": {
+              "model_name": "stable-diffusion-v1-5",
+              "base_model": "sd-1",
+              "model_type": "main"
+            }
+          }
+        },
+        "outputs": {
+          "unet": {
+            "id": "02f243cb-c6e2-42c5-8be9-ef0519d54383",
+            "name": "unet",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "UNetField"
+            }
+          },
+          "clip": {
+            "id": "7762ed13-5b28-40f4-85f1-710942ceb92a",
+            "name": "clip",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ClipField"
+            }
+          },
+          "vae": {
+            "id": "69566153-1918-417d-a3bb-32e9e857ef6b",
+            "name": "vae",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "VaeField"
+            }
+          }
+        }
+      },
+      "width": 320,
+      "height": 227,
+      "position": {
+        "x": 700,
+        "y": 1375
+      }
+    },
+    {
+      "id": "771bdf6a-0813-4099-a5d8-921a138754d4",
+      "type": "invocation",
+      "data": {
+        "id": "771bdf6a-0813-4099-a5d8-921a138754d4",
+        "type": "image",
+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "isIntermediate": true,
+        "useCache": true,
+        "version": "1.0.0",
+        "nodePack": "invokeai",
+        "inputs": {
+          "image": {
+            "id": "0f6d68a2-38bd-4f65-a112-0a256c7a2678",
+            "name": "image",
+            "fieldKind": "input",
+            "label": "Image To Upscale",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ImageField"
+            }
+          }
+        },
+        "outputs": {
+          "image": {
+            "id": "76f6f9b6-755b-4373-93fa-6a779998d2c8",
+            "name": "image",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ImageField"
+            }
+          },
+          "width": {
+            "id": "6858e46b-707c-444f-beda-9b5f4aecfdf8",
+            "name": "width",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "IntegerField"
+            }
+          },
+          "height": {
+            "id": "421bdc6e-ecd1-4935-9665-d38ab8314f79",
+            "name": "height",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "IntegerField"
+            }
+          }
+        }
+      },
+      "width": 320,
+      "height": 225,
+      "position": {
+        "x": 375,
+        "y": 1900
+      }
+    },
+    {
+      "id": "f7564dd2-9539-47f2-ac13-190804461f4e",
+      "type": "invocation",
+      "data": {
+        "id": "f7564dd2-9539-47f2-ac13-190804461f4e",
+        "type": "esrgan",
+        "label": "",
+        "isOpen": true,
+        "notes": "",
+        "isIntermediate": true,
+        "useCache": true,
+        "version": "1.3.0",
+        "nodePack": "invokeai",
+        "inputs": {
+          "metadata": {
+            "id": "8fa0c7eb-5bd3-4575-98e7-72285c532504",
+            "name": "metadata",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "MetadataField"
+            }
+          },
+          "image": {
+            "id": "3c949799-a504-41c9-b342-cff4b8146c48",
+            "name": "image",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ImageField"
+            }
+          },
+          "model_name": {
+            "id": "77cb4750-53d6-4c2c-bb5c-145981acbf17",
+            "name": "model_name",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "EnumField"
+            },
+            "value": "RealESRGAN_x4plus.pth"
+          },
+          "tile_size": {
+            "id": "7787b3ad-46ee-4248-995f-bc740e1f988b",
+            "name": "tile_size",
+            "fieldKind": "input",
+            "label": "",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "IntegerField"
+            },
+            "value": 400
+          }
+        },
+        "outputs": {
+          "image": {
+            "id": "37e6308e-e926-4e07-b0db-4e8601f495d0",
+            "name": "image",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "ImageField"
+            }
+          },
+          "width": {
+            "id": "c194d84a-fac7-4856-b646-d08477a5ad2b",
+            "name": "width",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "IntegerField"
+            }
+          },
+          "height": {
+            "id": "b2a6206c-a9c8-4271-a055-0b93a7f7d505",
+            "name": "height",
+            "fieldKind": "output",
+            "type": {
+              "isCollection": false,
+              "isCollectionOrScalar": false,
+              "name": "IntegerField"
+            }
+          }
+        }
+      },
+      "width": 320,
+      "height": 340,
+      "position": {
+        "x": 775,
+        "y": 1900
+      }
+    },
+    {
+      "id": "1d887701-df21-4966-ae6e-a7d82307d7bd",
+      "type": "invocation",
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diff --git a/invokeai/app/services/workflow_records/default_workflows/Face Detailer with IP-Adapter & Canny (See Note).json b/invokeai/app/services/workflow_records/default_workflows/Face Detailer with IP-Adapter & Canny (See Note).json
new file mode 100644
index 0000000000..6f392d6a7b
--- /dev/null
+++ b/invokeai/app/services/workflow_records/default_workflows/Face Detailer with IP-Adapter & Canny (See Note).json	
@@ -0,0 +1,2930 @@
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diff --git a/invokeai/app/services/workflow_records/default_workflows/Multi ControlNet (Canny & Depth).json b/invokeai/app/services/workflow_records/default_workflows/Multi ControlNet (Canny & Depth).json
new file mode 100644
index 0000000000..8bd6aef135
--- /dev/null
+++ b/invokeai/app/services/workflow_records/default_workflows/Multi ControlNet (Canny & Depth).json	
@@ -0,0 +1,1480 @@
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+}
\ No newline at end of file
diff --git a/invokeai/app/services/workflow_records/default_workflows/Prompt from File.json b/invokeai/app/services/workflow_records/default_workflows/Prompt from File.json
new file mode 100644
index 0000000000..08e76fd793
--- /dev/null
+++ b/invokeai/app/services/workflow_records/default_workflows/Prompt from File.json	
@@ -0,0 +1,975 @@
+{
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+  "author": "InvokeAI",
+  "description": "Sample workflow using Prompt from File node",
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diff --git a/invokeai/app/services/workflow_records/default_workflows/Text to Image with LoRA.json b/invokeai/app/services/workflow_records/default_workflows/Text to Image with LoRA.json
new file mode 100644
index 0000000000..5dd29d78cf
--- /dev/null
+++ b/invokeai/app/services/workflow_records/default_workflows/Text to Image with LoRA.json	
@@ -0,0 +1,903 @@
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+      "id": "reactflow__edge-24e9d7ed-4836-4ec4-8f9e-e747721f9818clip-c41e705b-f2e3-4d1a-83c4-e34bb9344966clip",
+      "source": "24e9d7ed-4836-4ec4-8f9e-e747721f9818",
+      "target": "c41e705b-f2e3-4d1a-83c4-e34bb9344966",
+      "type": "default",
+      "sourceHandle": "clip",
+      "targetHandle": "clip"
+    },
+    {
+      "id": "reactflow__edge-c41e705b-f2e3-4d1a-83c4-e34bb9344966clip-c3fa6872-2599-4a82-a596-b3446a66cf8bclip",
+      "source": "c41e705b-f2e3-4d1a-83c4-e34bb9344966",
+      "target": "c3fa6872-2599-4a82-a596-b3446a66cf8b",
+      "type": "default",
+      "sourceHandle": "clip",
+      "targetHandle": "clip"
+    },
+    {
+      "id": "reactflow__edge-24e9d7ed-4836-4ec4-8f9e-e747721f9818unet-c41e705b-f2e3-4d1a-83c4-e34bb9344966unet",
+      "source": "24e9d7ed-4836-4ec4-8f9e-e747721f9818",
+      "target": "c41e705b-f2e3-4d1a-83c4-e34bb9344966",
+      "type": "default",
+      "sourceHandle": "unet",
+      "targetHandle": "unet"
+    },
+    {
+      "id": "reactflow__edge-c41e705b-f2e3-4d1a-83c4-e34bb9344966unet-ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63unet",
+      "source": "c41e705b-f2e3-4d1a-83c4-e34bb9344966",
+      "target": "ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63",
+      "type": "default",
+      "sourceHandle": "unet",
+      "targetHandle": "unet"
+    },
+    {
+      "id": "reactflow__edge-85b77bb2-c67a-416a-b3e8-291abe746c44conditioning-ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63negative_conditioning",
+      "source": "85b77bb2-c67a-416a-b3e8-291abe746c44",
+      "target": "ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63",
+      "type": "default",
+      "sourceHandle": "conditioning",
+      "targetHandle": "negative_conditioning"
+    },
+    {
+      "id": "reactflow__edge-c3fa6872-2599-4a82-a596-b3446a66cf8bconditioning-ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63positive_conditioning",
+      "source": "c3fa6872-2599-4a82-a596-b3446a66cf8b",
+      "target": "ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63",
+      "type": "default",
+      "sourceHandle": "conditioning",
+      "targetHandle": "positive_conditioning"
+    },
+    {
+      "id": "reactflow__edge-ea18915f-2c5b-4569-b725-8e9e9122e8d3noise-ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63noise",
+      "source": "ea18915f-2c5b-4569-b725-8e9e9122e8d3",
+      "target": "ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63",
+      "type": "default",
+      "sourceHandle": "noise",
+      "targetHandle": "noise"
+    },
+    {
+      "id": "reactflow__edge-6fd74a17-6065-47a5-b48b-f4e2b8fa7953value-ea18915f-2c5b-4569-b725-8e9e9122e8d3seed",
+      "source": "6fd74a17-6065-47a5-b48b-f4e2b8fa7953",
+      "target": "ea18915f-2c5b-4569-b725-8e9e9122e8d3",
+      "type": "default",
+      "sourceHandle": "value",
+      "targetHandle": "seed"
+    },
+    {
+      "id": "reactflow__edge-ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63latents-a9683c0a-6b1f-4a5e-8187-c57e764b3400latents",
+      "source": "ad487d0c-dcbb-49c5-bb8e-b28d4cbc5a63",
+      "target": "a9683c0a-6b1f-4a5e-8187-c57e764b3400",
+      "type": "default",
+      "sourceHandle": "latents",
+      "targetHandle": "latents"
+    },
+    {
+      "id": "reactflow__edge-24e9d7ed-4836-4ec4-8f9e-e747721f9818vae-a9683c0a-6b1f-4a5e-8187-c57e764b3400vae",
+      "source": "24e9d7ed-4836-4ec4-8f9e-e747721f9818",
+      "target": "a9683c0a-6b1f-4a5e-8187-c57e764b3400",
+      "type": "default",
+      "sourceHandle": "vae",
+      "targetHandle": "vae"
+    },
+    {
+      "id": "reactflow__edge-c41e705b-f2e3-4d1a-83c4-e34bb9344966clip-85b77bb2-c67a-416a-b3e8-291abe746c44clip",
+      "source": "c41e705b-f2e3-4d1a-83c4-e34bb9344966",
+      "target": "85b77bb2-c67a-416a-b3e8-291abe746c44",
+      "type": "default",
+      "sourceHandle": "clip",
+      "targetHandle": "clip"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/invokeai/app/util/ti_utils.py b/invokeai/app/util/ti_utils.py
new file mode 100644
index 0000000000..a66a832b42
--- /dev/null
+++ b/invokeai/app/util/ti_utils.py
@@ -0,0 +1,8 @@
+import re
+
+
+def extract_ti_triggers_from_prompt(prompt: str) -> list[str]:
+    ti_triggers = []
+    for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
+        ti_triggers.append(trigger)
+    return ti_triggers
diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index 6ee2aa34b7..ee264016b4 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -28,7 +28,7 @@ def check_invokeai_root(config: InvokeAIAppConfig):
         print("== STARTUP ABORTED ==")
         print("** One or more necessary files is missing from your InvokeAI root directory **")
         print("** Please rerun the configuration script to fix this problem. **")
-        print("** From the launcher, selection option [7]. **")
+        print("** From the launcher, selection option [6]. **")
         print(
             '** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
         )
diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index 84ca7ee02b..0a65f6c67a 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -1,11 +1,9 @@
 from __future__ import annotations
 
-import platform
 from contextlib import nullcontext
 from typing import Union
 
 import torch
-from packaging import version
 from torch import autocast
 
 from invokeai.app.services.config import InvokeAIAppConfig
@@ -37,7 +35,7 @@ def choose_precision(device: torch.device) -> str:
         device_name = torch.cuda.get_device_name(device)
         if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
             return "float16"
-    elif device.type == "mps" and version.parse(platform.mac_ver()[0]) < version.parse("14.0.0"):
+    elif device.type == "mps":
         return "float16"
     return "float32"
 
diff --git a/invokeai/frontend/web/public/locales/zh_CN.json b/invokeai/frontend/web/public/locales/zh_CN.json
index b0151b8e76..ee12f2ad07 100644
--- a/invokeai/frontend/web/public/locales/zh_CN.json
+++ b/invokeai/frontend/web/public/locales/zh_CN.json
@@ -1119,7 +1119,10 @@
         "deletedInvalidEdge": "已删除无效的边缘 {{source}} -> {{target}}",
         "unknownInput": "未知输入：{{name}}",
         "prototypeDesc": "此调用是一个原型 (prototype)。它可能会在本项目更新期间发生破坏性更改，并且随时可能被删除。",
-        "betaDesc": "此调用尚处于测试阶段。在稳定之前，它可能会在项目更新期间发生破坏性更改。本项目计划长期支持这种调用。"
+        "betaDesc": "此调用尚处于测试阶段。在稳定之前，它可能会在项目更新期间发生破坏性更改。本项目计划长期支持这种调用。",
+        "newWorkflow": "新建工作流",
+        "newWorkflowDesc": "是否创建一个新的工作流？",
+        "newWorkflowDesc2": "当前工作流有未保存的更改。"
     },
     "controlnet": {
         "resize": "直接缩放",
@@ -1635,7 +1638,7 @@
         "openWorkflow": "打开工作流",
         "clearWorkflowSearchFilter": "清除工作流检索过滤器",
         "workflowLibrary": "工作流库",
-        "downloadWorkflow": "下载工作流",
+        "downloadWorkflow": "保存到文件",
         "noRecentWorkflows": "无最近工作流",
         "workflowSaved": "已保存工作流",
         "workflowIsOpen": "工作流已打开",
@@ -1648,8 +1651,9 @@
         "deleteWorkflow": "删除工作流",
         "workflows": "工作流",
         "noDescription": "无描述",
-        "uploadWorkflow": "上传工作流",
-        "userWorkflows": "我的工作流"
+        "uploadWorkflow": "从文件中加载",
+        "userWorkflows": "我的工作流",
+        "newWorkflowCreated": "已创建新的工作流"
     },
     "app": {
         "storeNotInitialized": "商店尚未初始化"
diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index 5651641afd..6b31f6f8d4 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -34,6 +34,7 @@ import { actionSanitizer } from './middleware/devtools/actionSanitizer';
 import { actionsDenylist } from './middleware/devtools/actionsDenylist';
 import { stateSanitizer } from './middleware/devtools/stateSanitizer';
 import { listenerMiddleware } from './middleware/listenerMiddleware';
+import { authToastMiddleware } from 'services/api/authToastMiddleware';
 
 const allReducers = {
   canvas: canvasReducer,
@@ -96,6 +97,7 @@ export const createStore = (uniqueStoreKey?: string, persist = true) =>
       })
         .concat(api.middleware)
         .concat(dynamicMiddlewares)
+        .concat(authToastMiddleware)
         .prepend(listenerMiddleware.middleware),
     enhancers: (getDefaultEnhancers) => {
       const _enhancers = getDefaultEnhancers().concat(autoBatchEnhancer());
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/WorkflowName.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/WorkflowName.tsx
index 97432ae865..8fefc027a6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/WorkflowName.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/WorkflowName.tsx
@@ -2,11 +2,14 @@ import { Text } from '@chakra-ui/layout';
 import { useAppSelector } from 'app/store/storeHooks';
 import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 
 const TopCenterPanel = () => {
   const { t } = useTranslation();
   const name = useAppSelector((state) => state.workflow.name);
   const isTouched = useAppSelector((state) => state.workflow.isTouched);
+  const isWorkflowLibraryEnabled =
+    useFeatureStatus('workflowLibrary').isFeatureEnabled;
 
   return (
     <Text
@@ -19,7 +22,7 @@ const TopCenterPanel = () => {
       opacity={0.8}
     >
       {name || t('workflows.unnamedWorkflow')}
-      {isTouched ? ` (${t('common.unsaved')})` : ''}
+      {isTouched && isWorkflowLibraryEnabled ? ` (${t('common.unsaved')})` : ''}
     </Text>
   );
 };
diff --git a/invokeai/frontend/web/src/services/api/authToastMiddleware.ts b/invokeai/frontend/web/src/services/api/authToastMiddleware.ts
index 59db2d0b89..a9cf775383 100644
--- a/invokeai/frontend/web/src/services/api/authToastMiddleware.ts
+++ b/invokeai/frontend/web/src/services/api/authToastMiddleware.ts
@@ -5,12 +5,10 @@ import { t } from 'i18next';
 import { z } from 'zod';
 
 const zRejectedForbiddenAction = z.object({
-  action: z.object({
-    payload: z.object({
-      status: z.literal(403),
-      data: z.object({
-        detail: z.string(),
-      }),
+  payload: z.object({
+    status: z.literal(403),
+    data: z.object({
+      detail: z.string(),
     }),
   }),
 });
@@ -22,8 +20,8 @@ export const authToastMiddleware: Middleware =
         const parsed = zRejectedForbiddenAction.parse(action);
         const { dispatch } = api;
         const customMessage =
-          parsed.action.payload.data.detail !== 'Forbidden'
-            ? parsed.action.payload.data.detail
+          parsed.payload.data.detail !== 'Forbidden'
+            ? parsed.payload.data.detail
             : undefined;
         dispatch(
           addToast({
@@ -32,7 +30,7 @@ export const authToastMiddleware: Middleware =
             description: customMessage,
           })
         );
-      } catch {
+      } catch (error) {
         // no-op
       }
     }
diff --git a/mkdocs.yml b/mkdocs.yml
index 7c67a2777a..c8875c0ff1 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -172,6 +172,8 @@ nav:
         - Adding Tests: 'contributing/TESTS.md'
       - Documentation: 'contributing/contribution_guides/documentation.md'
       - Nodes: 'contributing/INVOCATIONS.md'
+      - Model Manager: 'contributing/MODEL_MANAGER.md'
+      - Download Queue: 'contributing/DOWNLOAD_QUEUE.md'
       - Translation: 'contributing/contribution_guides/translation.md'
       - Tutorials: 'contributing/contribution_guides/tutorials.md'
     - Changelog: 'CHANGELOG.md'
diff --git a/tests/aa_nodes/test_graph_execution_state.py b/tests/aa_nodes/test_graph_execution_state.py
index 04dc6af621..bb31161426 100644
--- a/tests/aa_nodes/test_graph_execution_state.py
+++ b/tests/aa_nodes/test_graph_execution_state.py
@@ -26,7 +26,6 @@ from invokeai.app.services.shared.graph import (
     Graph,
     GraphExecutionState,
     IterateInvocation,
-    LibraryGraph,
 )
 from invokeai.backend.util.logging import InvokeAILogger
 from tests.fixtures.sqlite_database import create_mock_sqlite_database
@@ -61,7 +60,6 @@ def mock_services() -> InvocationServices:
         configuration=configuration,
         events=TestEventService(),
         graph_execution_manager=graph_execution_manager,
-        graph_library=SqliteItemStorage[LibraryGraph](db=db, table_name="graphs"),
         image_files=None,  # type: ignore
         image_records=None,  # type: ignore
         images=None,  # type: ignore
@@ -70,6 +68,7 @@ def mock_services() -> InvocationServices:
         logger=logging,  # type: ignore
         model_manager=None,  # type: ignore
         model_records=None,  # type: ignore
+        download_queue=None,  # type: ignore
         model_install=None,  # type: ignore
         names=None,  # type: ignore
         performance_statistics=InvocationStatsService(),
diff --git a/tests/aa_nodes/test_invoker.py b/tests/aa_nodes/test_invoker.py
index 288beb6e0b..d4959282a1 100644
--- a/tests/aa_nodes/test_invoker.py
+++ b/tests/aa_nodes/test_invoker.py
@@ -24,7 +24,7 @@ from invokeai.app.services.invocation_stats.invocation_stats_default import Invo
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.item_storage.item_storage_sqlite import SqliteItemStorage
 from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID
-from invokeai.app.services.shared.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph
+from invokeai.app.services.shared.graph import Graph, GraphExecutionState, GraphInvocation
 
 
 @pytest.fixture
@@ -66,7 +66,6 @@ def mock_services() -> InvocationServices:
         configuration=configuration,
         events=TestEventService(),
         graph_execution_manager=graph_execution_manager,
-        graph_library=SqliteItemStorage[LibraryGraph](db=db, table_name="graphs"),
         image_files=None,  # type: ignore
         image_records=None,  # type: ignore
         images=None,  # type: ignore
@@ -75,6 +74,7 @@ def mock_services() -> InvocationServices:
         logger=logging,  # type: ignore
         model_manager=None,  # type: ignore
         model_records=None,  # type: ignore
+        download_queue=None,  # type: ignore
         model_install=None,  # type: ignore
         names=None,  # type: ignore
         performance_statistics=InvocationStatsService(),
diff --git a/tests/app/services/download/test_download_queue.py b/tests/app/services/download/test_download_queue.py
new file mode 100644
index 0000000000..6e36af75ce
--- /dev/null
+++ b/tests/app/services/download/test_download_queue.py
@@ -0,0 +1,223 @@
+"""Test the queued download facility"""
+import re
+import time
+from pathlib import Path
+from typing import Any, Dict, List
+
+import pytest
+import requests
+from pydantic import BaseModel
+from pydantic.networks import AnyHttpUrl
+from requests.sessions import Session
+from requests_testadapter import TestAdapter
+
+from invokeai.app.services.download import DownloadJob, DownloadJobStatus, DownloadQueueService
+from invokeai.app.services.events.events_base import EventServiceBase
+
+# Prevent pytest deprecation warnings
+TestAdapter.__test__ = False
+
+
+@pytest.fixture
+def session() -> requests.sessions.Session:
+    sess = requests.Session()
+    for i in ["12345", "9999", "54321"]:
+        content = (
+            b"I am a safetensors file " + bytearray(i, "utf-8") + bytearray(32_000)
+        )  # for pause tests, must make content large
+        sess.mount(
+            f"http://www.civitai.com/models/{i}",
+            TestAdapter(
+                content,
+                headers={
+                    "Content-Length": len(content),
+                    "Content-Disposition": f'filename="mock{i}.safetensors"',
+                },
+            ),
+        )
+
+    # here are some malformed URLs to test
+    # missing the content length
+    sess.mount(
+        "http://www.civitai.com/models/missing",
+        TestAdapter(
+            b"Missing content length",
+            headers={
+                "Content-Disposition": 'filename="missing.txt"',
+            },
+        ),
+    )
+    # not found test
+    sess.mount("http://www.civitai.com/models/broken", TestAdapter(b"Not found", status=404))
+
+    return sess
+
+
+class DummyEvent(BaseModel):
+    """Dummy Event to use with Dummy Event service."""
+
+    event_name: str
+    payload: Dict[str, Any]
+
+
+# A dummy event service for testing event issuing
+class DummyEventService(EventServiceBase):
+    """Dummy event service for testing."""
+
+    events: List[DummyEvent]
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.events = []
+
+    def dispatch(self, event_name: str, payload: Any) -> None:
+        """Dispatch an event by appending it to self.events."""
+        self.events.append(DummyEvent(event_name=payload["event"], payload=payload["data"]))
+
+
+def test_basic_queue_download(tmp_path: Path, session: Session) -> None:
+    events = set()
+
+    def event_handler(job: DownloadJob) -> None:
+        events.add(job.status)
+
+    queue = DownloadQueueService(
+        requests_session=session,
+    )
+    queue.start()
+    job = queue.download(
+        source=AnyHttpUrl("http://www.civitai.com/models/12345"),
+        dest=tmp_path,
+        on_start=event_handler,
+        on_progress=event_handler,
+        on_complete=event_handler,
+        on_error=event_handler,
+    )
+    assert isinstance(job, DownloadJob), "expected the job to be of type DownloadJobBase"
+    assert isinstance(job.id, int), "expected the job id to be numeric"
+    queue.join()
+
+    assert job.status == DownloadJobStatus("completed"), "expected job status to be completed"
+    assert Path(tmp_path, "mock12345.safetensors").exists(), f"expected {tmp_path}/mock12345.safetensors to exist"
+
+    assert events == {DownloadJobStatus.RUNNING, DownloadJobStatus.COMPLETED}
+    queue.stop()
+
+
+def test_errors(tmp_path: Path, session: Session) -> None:
+    queue = DownloadQueueService(
+        requests_session=session,
+    )
+    queue.start()
+
+    for bad_url in ["http://www.civitai.com/models/broken", "http://www.civitai.com/models/missing"]:
+        queue.download(AnyHttpUrl(bad_url), dest=tmp_path)
+
+    queue.join()
+    jobs = queue.list_jobs()
+    print(jobs)
+    assert len(jobs) == 2
+    jobs_dict = {str(x.source): x for x in jobs}
+    assert jobs_dict["http://www.civitai.com/models/broken"].status == DownloadJobStatus.ERROR
+    assert jobs_dict["http://www.civitai.com/models/broken"].error_type == "HTTPError(NOT FOUND)"
+    assert jobs_dict["http://www.civitai.com/models/missing"].status == DownloadJobStatus.COMPLETED
+    assert jobs_dict["http://www.civitai.com/models/missing"].total_bytes == 0
+    queue.stop()
+
+
+def test_event_bus(tmp_path: Path, session: Session) -> None:
+    event_bus = DummyEventService()
+
+    queue = DownloadQueueService(requests_session=session, event_bus=event_bus)
+    queue.start()
+    queue.download(
+        source=AnyHttpUrl("http://www.civitai.com/models/12345"),
+        dest=tmp_path,
+    )
+    queue.join()
+    events = event_bus.events
+    assert len(events) == 3
+    assert events[0].payload["timestamp"] <= events[1].payload["timestamp"]
+    assert events[1].payload["timestamp"] <= events[2].payload["timestamp"]
+    assert events[0].event_name == "download_started"
+    assert events[1].event_name == "download_progress"
+    assert events[1].payload["total_bytes"] > 0
+    assert events[1].payload["current_bytes"] <= events[1].payload["total_bytes"]
+    assert events[2].event_name == "download_complete"
+    assert events[2].payload["total_bytes"] == 32029
+
+    # test a failure
+    event_bus.events = []  # reset our accumulator
+    queue.download(source=AnyHttpUrl("http://www.civitai.com/models/broken"), dest=tmp_path)
+    queue.join()
+    events = event_bus.events
+    print("\n".join([x.model_dump_json() for x in events]))
+    assert len(events) == 1
+    assert events[0].event_name == "download_error"
+    assert events[0].payload["error_type"] == "HTTPError(NOT FOUND)"
+    assert events[0].payload["error"] is not None
+    assert re.search(r"requests.exceptions.HTTPError: NOT FOUND", events[0].payload["error"])
+    queue.stop()
+
+
+def test_broken_callbacks(tmp_path: Path, session: requests.sessions.Session, capsys) -> None:
+    queue = DownloadQueueService(
+        requests_session=session,
+    )
+    queue.start()
+
+    callback_ran = False
+
+    def broken_callback(job: DownloadJob) -> None:
+        nonlocal callback_ran
+        callback_ran = True
+        print(1 / 0)  # deliberate error here
+
+    job = queue.download(
+        source=AnyHttpUrl("http://www.civitai.com/models/12345"),
+        dest=tmp_path,
+        on_progress=broken_callback,
+    )
+
+    queue.join()
+    assert job.status == DownloadJobStatus.COMPLETED  # should complete even though the callback is borked
+    assert Path(tmp_path, "mock12345.safetensors").exists()
+    assert callback_ran
+    # LS: The pytest capsys fixture does not seem to be working. I can see the
+    # correct stderr message in the pytest log, but it is not appearing in
+    # capsys.readouterr().
+    # captured = capsys.readouterr()
+    # assert re.search("division by zero", captured.err)
+    queue.stop()
+
+
+def test_cancel(tmp_path: Path, session: requests.sessions.Session) -> None:
+    event_bus = DummyEventService()
+
+    queue = DownloadQueueService(requests_session=session, event_bus=event_bus)
+    queue.start()
+
+    cancelled = False
+
+    def slow_callback(job: DownloadJob) -> None:
+        time.sleep(2)
+
+    def cancelled_callback(job: DownloadJob) -> None:
+        nonlocal cancelled
+        cancelled = True
+
+    job = queue.download(
+        source=AnyHttpUrl("http://www.civitai.com/models/12345"),
+        dest=tmp_path,
+        on_start=slow_callback,
+        on_cancelled=cancelled_callback,
+    )
+    queue.cancel_job(job)
+    queue.join()
+
+    assert job.status == DownloadJobStatus.CANCELLED
+    assert cancelled
+    events = event_bus.events
+    assert events[-1].event_name == "download_cancelled"
+    assert events[-1].payload["source"] == "http://www.civitai.com/models/12345"
+    queue.stop()
diff --git a/tests/app/services/model_install/test_model_install.py b/tests/app/services/model_install/test_model_install.py
index 310bcfa0c1..9010f9f296 100644
--- a/tests/app/services/model_install/test_model_install.py
+++ b/tests/app/services/model_install/test_model_install.py
@@ -48,11 +48,13 @@ def store(
 
 @pytest.fixture
 def installer(app_config: InvokeAIAppConfig, store: ModelRecordServiceBase) -> ModelInstallServiceBase:
-    return ModelInstallService(
+    installer = ModelInstallService(
         app_config=app_config,
         record_store=store,
         event_bus=DummyEventService(),
     )
+    installer.start()
+    return installer
 
 
 class DummyEvent(BaseModel):