InvokeAI/invokeai/app/invocations/cv.py

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# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
2023-03-03 06:02:00 +00:00
import cv2 as cv
import numpy
from PIL import Image, ImageOps
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from invokeai.app.invocations.primitives import ImageField, ImageOutput
feat: refactor services folder/module structure Refactor services folder/module structure. **Motivation** While working on our services I've repeatedly encountered circular imports and a general lack of clarity regarding where to put things. The structure introduced goes a long way towards resolving those issues, setting us up for a clean structure going forward. **Services** Services are now in their own folder with a few files: - `services/{service_name}/__init__.py`: init as needed, mostly empty now - `services/{service_name}/{service_name}_base.py`: the base class for the service - `services/{service_name}/{service_name}_{impl_type}.py`: the default concrete implementation of the service - typically one of `sqlite`, `default`, or `memory` - `services/{service_name}/{service_name}_common.py`: any common items - models, exceptions, utilities, etc Though it's a bit verbose to have the service name both as the folder name and the prefix for files, I found it is _extremely_ confusing to have all of the base classes just be named `base.py`. So, at the cost of some verbosity when importing things, I've included the service name in the filename. There are some minor logic changes. For example, in `InvocationProcessor`, instead of assigning the model manager service to a variable to be used later in the file, the service is used directly via the `Invoker`. **Shared** Things that are used across disparate services are in `services/shared/`: - `default_graphs.py`: previously in `services/` - `graphs.py`: previously in `services/` - `paginatation`: generic pagination models used in a few services - `sqlite`: the `SqliteDatabase` class, other sqlite-specific things
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from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
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feat: workflow library (#5148) * chore: bump pydantic to 2.5.2 This release fixes pydantic/pydantic#8175 and allows us to use `JsonValue` * fix(ui): exclude public/en.json from prettier config * fix(workflow_records): fix SQLite workflow insertion to ignore duplicates * feat(backend): update workflows handling Update workflows handling for Workflow Library. **Updated Workflow Storage** "Embedded Workflows" are workflows associated with images, and are now only stored in the image files. "Library Workflows" are not associated with images, and are stored only in DB. This works out nicely. We have always saved workflows to files, but recently began saving them to the DB in addition to in image files. When that happened, we stopped reading workflows from files, so all the workflows that only existed in images were inaccessible. With this change, access to those workflows is restored, and no workflows are lost. **Updated Workflow Handling in Nodes** Prior to this change, workflows were embedded in images by passing the whole workflow JSON to a special workflow field on a node. In the node's `invoke()` function, the node was able to access this workflow and save it with the image. This (inaccurately) models workflows as a property of an image and is rather awkward technically. A workflow is now a property of a batch/session queue item. It is available in the InvocationContext and therefore available to all nodes during `invoke()`. **Database Migrations** Added a `SQLiteMigrator` class to handle database migrations. Migrations were needed to accomodate the DB-related changes in this PR. See the code for details. The `images`, `workflows` and `session_queue` tables required migrations for this PR, and are using the new migrator. Other tables/services are still creating tables themselves. A followup PR will adapt them to use the migrator. **Other/Support Changes** - Add a `has_workflow` column to `images` table to indicate that the image has an embedded workflow. - Add handling for retrieving the workflow from an image in python. The image file must be fetched, the workflow extracted, and then sent to client, avoiding needing the browser to parse the image file. With the `has_workflow` column, the UI knows if there is a workflow to be fetched, and only fetches when the user requests to load the workflow. - Add route to get the workflow from an image - Add CRUD service/routes for the library workflows - `workflow_images` table and services removed (no longer needed now that embedded workflows are not in the DB) * feat(ui): updated workflow handling (WIP) Clientside updates for the backend workflow changes. Includes roughed-out workflow library UI. * feat: revert SQLiteMigrator class Will pursue this in a separate PR. * feat(nodes): do not overwrite custom node module names Use a different, simpler method to detect if a node is custom. * feat(nodes): restore WithWorkflow as no-op class This class is deprecated and no longer needed. Set its workflow attr value to None (meaning it is now a no-op), and issue a warning when an invocation subclasses it. * fix(nodes): fix get_workflow from queue item dict func * feat(backend): add WorkflowRecordListItemDTO This is the id, name, description, created at and updated at workflow columns/attrs. Used to display lists of workflowsl * chore(ui): typegen * feat(ui): add workflow loading, deleting to workflow library UI * feat(ui): workflow library pagination button styles * wip * feat: workflow library WIP - Save to library - Duplicate - Filter/sort - UI/queries * feat: workflow library - system graphs - wip * feat(backend): sync system workflows to db * fix: merge conflicts * feat: simplify default workflows - Rename "system" -> "default" - Simplify syncing logic - Update UI to match * feat(workflows): update default workflows - Update TextToImage_SD15 - Add TextToImage_SDXL - Add README * feat(ui): refine workflow list UI * fix(workflow_records): typo * fix(tests): fix tests * feat(ui): clean up workflow library hooks * fix(db): fix mis-ordered db cleanup step It was happening before pruning queue items - should happen afterwards, else you have to restart the app again to free disk space made available by the pruning. * feat(ui): tweak reset workflow editor translations * feat(ui): split out workflow redux state The `nodes` slice is a rather complicated slice. Removing `workflow` makes it a bit more reasonable. Also helps to flatten state out a bit. * docs: update default workflows README * fix: tidy up unused files, unrelated changes * fix(backend): revert unrelated service organisational changes * feat(backend): workflow_records.get_many arg "filter_text" -> "query" * feat(ui): use custom hook in current image buttons Already in use elsewhere, forgot to use it here. * fix(ui): remove commented out property * fix(ui): fix workflow loading - Different handling for loading from library vs external - Fix bug where only nodes and edges loaded * fix(ui): fix save/save-as workflow naming * fix(ui): fix circular dependency * fix(db): fix bug with releasing without lock in db.clean() * fix(db): remove extraneous lock * chore: bump ruff * fix(workflow_records): default `category` to `WorkflowCategory.User` This allows old workflows to validate when reading them from the db or image files. * hide workflow library buttons if feature is disabled --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-12-08 22:48:38 +00:00
from .baseinvocation import BaseInvocation, InputField, InvocationContext, WithMetadata, invocation
feat: workflow library (#5148) * chore: bump pydantic to 2.5.2 This release fixes pydantic/pydantic#8175 and allows us to use `JsonValue` * fix(ui): exclude public/en.json from prettier config * fix(workflow_records): fix SQLite workflow insertion to ignore duplicates * feat(backend): update workflows handling Update workflows handling for Workflow Library. **Updated Workflow Storage** "Embedded Workflows" are workflows associated with images, and are now only stored in the image files. "Library Workflows" are not associated with images, and are stored only in DB. This works out nicely. We have always saved workflows to files, but recently began saving them to the DB in addition to in image files. When that happened, we stopped reading workflows from files, so all the workflows that only existed in images were inaccessible. With this change, access to those workflows is restored, and no workflows are lost. **Updated Workflow Handling in Nodes** Prior to this change, workflows were embedded in images by passing the whole workflow JSON to a special workflow field on a node. In the node's `invoke()` function, the node was able to access this workflow and save it with the image. This (inaccurately) models workflows as a property of an image and is rather awkward technically. A workflow is now a property of a batch/session queue item. It is available in the InvocationContext and therefore available to all nodes during `invoke()`. **Database Migrations** Added a `SQLiteMigrator` class to handle database migrations. Migrations were needed to accomodate the DB-related changes in this PR. See the code for details. The `images`, `workflows` and `session_queue` tables required migrations for this PR, and are using the new migrator. Other tables/services are still creating tables themselves. A followup PR will adapt them to use the migrator. **Other/Support Changes** - Add a `has_workflow` column to `images` table to indicate that the image has an embedded workflow. - Add handling for retrieving the workflow from an image in python. The image file must be fetched, the workflow extracted, and then sent to client, avoiding needing the browser to parse the image file. With the `has_workflow` column, the UI knows if there is a workflow to be fetched, and only fetches when the user requests to load the workflow. - Add route to get the workflow from an image - Add CRUD service/routes for the library workflows - `workflow_images` table and services removed (no longer needed now that embedded workflows are not in the DB) * feat(ui): updated workflow handling (WIP) Clientside updates for the backend workflow changes. Includes roughed-out workflow library UI. * feat: revert SQLiteMigrator class Will pursue this in a separate PR. * feat(nodes): do not overwrite custom node module names Use a different, simpler method to detect if a node is custom. * feat(nodes): restore WithWorkflow as no-op class This class is deprecated and no longer needed. Set its workflow attr value to None (meaning it is now a no-op), and issue a warning when an invocation subclasses it. * fix(nodes): fix get_workflow from queue item dict func * feat(backend): add WorkflowRecordListItemDTO This is the id, name, description, created at and updated at workflow columns/attrs. Used to display lists of workflowsl * chore(ui): typegen * feat(ui): add workflow loading, deleting to workflow library UI * feat(ui): workflow library pagination button styles * wip * feat: workflow library WIP - Save to library - Duplicate - Filter/sort - UI/queries * feat: workflow library - system graphs - wip * feat(backend): sync system workflows to db * fix: merge conflicts * feat: simplify default workflows - Rename "system" -> "default" - Simplify syncing logic - Update UI to match * feat(workflows): update default workflows - Update TextToImage_SD15 - Add TextToImage_SDXL - Add README * feat(ui): refine workflow list UI * fix(workflow_records): typo * fix(tests): fix tests * feat(ui): clean up workflow library hooks * fix(db): fix mis-ordered db cleanup step It was happening before pruning queue items - should happen afterwards, else you have to restart the app again to free disk space made available by the pruning. * feat(ui): tweak reset workflow editor translations * feat(ui): split out workflow redux state The `nodes` slice is a rather complicated slice. Removing `workflow` makes it a bit more reasonable. Also helps to flatten state out a bit. * docs: update default workflows README * fix: tidy up unused files, unrelated changes * fix(backend): revert unrelated service organisational changes * feat(backend): workflow_records.get_many arg "filter_text" -> "query" * feat(ui): use custom hook in current image buttons Already in use elsewhere, forgot to use it here. * fix(ui): remove commented out property * fix(ui): fix workflow loading - Different handling for loading from library vs external - Fix bug where only nodes and edges loaded * fix(ui): fix save/save-as workflow naming * fix(ui): fix circular dependency * fix(db): fix bug with releasing without lock in db.clean() * fix(db): remove extraneous lock * chore: bump ruff * fix(workflow_records): default `category` to `WorkflowCategory.User` This allows old workflows to validate when reading them from the db or image files. * hide workflow library buttons if feature is disabled --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-12-08 22:48:38 +00:00
@invocation("cv_inpaint", title="OpenCV Inpaint", tags=["opencv", "inpaint"], category="inpaint", version="1.2.0")
class CvInpaintInvocation(BaseInvocation, WithMetadata):
"""Simple inpaint using opencv."""
image: ImageField = InputField(description="The image to inpaint")
mask: ImageField = InputField(description="The mask to use when inpainting")
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def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.services.images.get_pil_image(self.image.image_name)
mask = context.services.images.get_pil_image(self.mask.image_name)
# Convert to cv image/mask
# TODO: consider making these utility functions
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cv_image = cv.cvtColor(numpy.array(image.convert("RGB")), cv.COLOR_RGB2BGR)
cv_mask = numpy.array(ImageOps.invert(mask.convert("L")))
# Inpaint
cv_inpainted = cv.inpaint(cv_image, cv_mask, 3, cv.INPAINT_TELEA)
# Convert back to Pillow
# TODO: consider making a utility function
image_inpainted = Image.fromarray(cv.cvtColor(cv_inpainted, cv.COLOR_BGR2RGB))
image_dto = context.services.images.create(
image=image_inpainted,
image_origin=ResourceOrigin.INTERNAL,
image_category=ImageCategory.GENERAL,
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
feat: workflow library (#5148) * chore: bump pydantic to 2.5.2 This release fixes pydantic/pydantic#8175 and allows us to use `JsonValue` * fix(ui): exclude public/en.json from prettier config * fix(workflow_records): fix SQLite workflow insertion to ignore duplicates * feat(backend): update workflows handling Update workflows handling for Workflow Library. **Updated Workflow Storage** "Embedded Workflows" are workflows associated with images, and are now only stored in the image files. "Library Workflows" are not associated with images, and are stored only in DB. This works out nicely. We have always saved workflows to files, but recently began saving them to the DB in addition to in image files. When that happened, we stopped reading workflows from files, so all the workflows that only existed in images were inaccessible. With this change, access to those workflows is restored, and no workflows are lost. **Updated Workflow Handling in Nodes** Prior to this change, workflows were embedded in images by passing the whole workflow JSON to a special workflow field on a node. In the node's `invoke()` function, the node was able to access this workflow and save it with the image. This (inaccurately) models workflows as a property of an image and is rather awkward technically. A workflow is now a property of a batch/session queue item. It is available in the InvocationContext and therefore available to all nodes during `invoke()`. **Database Migrations** Added a `SQLiteMigrator` class to handle database migrations. Migrations were needed to accomodate the DB-related changes in this PR. See the code for details. The `images`, `workflows` and `session_queue` tables required migrations for this PR, and are using the new migrator. Other tables/services are still creating tables themselves. A followup PR will adapt them to use the migrator. **Other/Support Changes** - Add a `has_workflow` column to `images` table to indicate that the image has an embedded workflow. - Add handling for retrieving the workflow from an image in python. The image file must be fetched, the workflow extracted, and then sent to client, avoiding needing the browser to parse the image file. With the `has_workflow` column, the UI knows if there is a workflow to be fetched, and only fetches when the user requests to load the workflow. - Add route to get the workflow from an image - Add CRUD service/routes for the library workflows - `workflow_images` table and services removed (no longer needed now that embedded workflows are not in the DB) * feat(ui): updated workflow handling (WIP) Clientside updates for the backend workflow changes. Includes roughed-out workflow library UI. * feat: revert SQLiteMigrator class Will pursue this in a separate PR. * feat(nodes): do not overwrite custom node module names Use a different, simpler method to detect if a node is custom. * feat(nodes): restore WithWorkflow as no-op class This class is deprecated and no longer needed. Set its workflow attr value to None (meaning it is now a no-op), and issue a warning when an invocation subclasses it. * fix(nodes): fix get_workflow from queue item dict func * feat(backend): add WorkflowRecordListItemDTO This is the id, name, description, created at and updated at workflow columns/attrs. Used to display lists of workflowsl * chore(ui): typegen * feat(ui): add workflow loading, deleting to workflow library UI * feat(ui): workflow library pagination button styles * wip * feat: workflow library WIP - Save to library - Duplicate - Filter/sort - UI/queries * feat: workflow library - system graphs - wip * feat(backend): sync system workflows to db * fix: merge conflicts * feat: simplify default workflows - Rename "system" -> "default" - Simplify syncing logic - Update UI to match * feat(workflows): update default workflows - Update TextToImage_SD15 - Add TextToImage_SDXL - Add README * feat(ui): refine workflow list UI * fix(workflow_records): typo * fix(tests): fix tests * feat(ui): clean up workflow library hooks * fix(db): fix mis-ordered db cleanup step It was happening before pruning queue items - should happen afterwards, else you have to restart the app again to free disk space made available by the pruning. * feat(ui): tweak reset workflow editor translations * feat(ui): split out workflow redux state The `nodes` slice is a rather complicated slice. Removing `workflow` makes it a bit more reasonable. Also helps to flatten state out a bit. * docs: update default workflows README * fix: tidy up unused files, unrelated changes * fix(backend): revert unrelated service organisational changes * feat(backend): workflow_records.get_many arg "filter_text" -> "query" * feat(ui): use custom hook in current image buttons Already in use elsewhere, forgot to use it here. * fix(ui): remove commented out property * fix(ui): fix workflow loading - Different handling for loading from library vs external - Fix bug where only nodes and edges loaded * fix(ui): fix save/save-as workflow naming * fix(ui): fix circular dependency * fix(db): fix bug with releasing without lock in db.clean() * fix(db): remove extraneous lock * chore: bump ruff * fix(workflow_records): default `category` to `WorkflowCategory.User` This allows old workflows to validate when reading them from the db or image files. * hide workflow library buttons if feature is disabled --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
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workflow=context.workflow,
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)
Partial migration of UI to nodes API (#3195) * feat(ui): add axios client generator and simple example * fix(ui): update client & nodes test code w/ new Edge type * chore(ui): organize generated files * chore(ui): update .eslintignore, .prettierignore * chore(ui): update openapi.json * feat(backend): fixes for nodes/generator * feat(ui): generate object args for api client * feat(ui): more nodes api prototyping * feat(ui): nodes cancel * chore(ui): regenerate api client * fix(ui): disable OG web server socket connection * fix(ui): fix scrollbar styles typing and prop just noticed the typo, and made the types stronger. * feat(ui): add socketio types * feat(ui): wip nodes - extract api client method arg types instead of manually declaring them - update example to display images - general tidy up * start building out node translations from frontend state and add notes about missing features * use reference to sampler_name * use reference to sampler_name * add optional apiUrl prop * feat(ui): start hooking up dynamic txt2img node generation, create middleware for session invocation * feat(ui): write separate nodes socket layer, txt2img generating and rendering w single node * feat(ui): img2img implementation * feat(ui): get intermediate images working but types are stubbed out * chore(ui): add support for package mode * feat(ui): add nodes mode script * feat(ui): handle random seeds * fix(ui): fix middleware types * feat(ui): add rtk action type guard * feat(ui): disable NodeAPITest This was polluting the network/socket logs. * feat(ui): fix parameters panel border color This commit should be elsewhere but I don't want to break my flow * feat(ui): make thunk types more consistent * feat(ui): add type guards for outputs * feat(ui): load images on socket connect Rudimentary * chore(ui): bump redux-toolkit * docs(ui): update readme * chore(ui): regenerate api client * chore(ui): add typescript as dev dependency I am having trouble with TS versions after vscode updated and now uses TS 5. `madge` has installed 3.9.10 and for whatever reason my vscode wants to use that. Manually specifying 4.9.5 and then setting vscode to use that as the workspace TS fixes the issue. * feat(ui): begin migrating gallery to nodes Along the way, migrate to use RTK `createEntityAdapter` for gallery images, and separate `results` and `uploads` into separate slices. Much cleaner this way. * feat(ui): clean up & comment results slice * fix(ui): separate thunk for initial gallery load so it properly gets index 0 * feat(ui): POST upload working * fix(ui): restore removed type * feat(ui): patch api generation for headers access * chore(ui): regenerate api * feat(ui): wip gallery migration * feat(ui): wip gallery migration * chore(ui): regenerate api * feat(ui): wip refactor socket events * feat(ui): disable panels based on app props * feat(ui): invert logic to be disabled * disable panels when app mounts * feat(ui): add support to disableTabs * docs(ui): organise and update docs * lang(ui): add toast strings * feat(ui): wip events, comments, and general refactoring * feat(ui): add optional token for auth * feat(ui): export StatusIndicator and ModelSelect for header use * feat(ui) working on making socket URL dynamic * feat(ui): dynamic middleware loading * feat(ui): prep for socket jwt * feat(ui): migrate cancelation also updated action names to be event-like instead of declaration-like sorry, i was scattered and this commit has a lot of unrelated stuff in it. * fix(ui): fix img2img type * chore(ui): regenerate api client * feat(ui): improve InvocationCompleteEvent types * feat(ui): increase StatusIndicator font size * fix(ui): fix middleware order for multi-node graphs * feat(ui): add exampleGraphs object w/ iterations example * feat(ui): generate iterations graph * feat(ui): update ModelSelect for nodes API * feat(ui): add hi-res functionality for txt2img generations * feat(ui): "subscribe" to particular nodes feels like a dirty hack but oh well it works * feat(ui): first steps to node editor ui * fix(ui): disable event subscription it is not fully baked just yet * feat(ui): wip node editor * feat(ui): remove extraneous field types * feat(ui): nodes before deleting stuff * feat(ui): cleanup nodes ui stuff * feat(ui): hook up nodes to redux * fix(ui): fix handle * fix(ui): add basic node edges & connection validation * feat(ui): add connection validation styling * feat(ui): increase edge width * feat(ui): it blends * feat(ui): wip model handling and graph topology validation * feat(ui): validation connections w/ graphlib * docs(ui): update nodes doc * feat(ui): wip node editor * chore(ui): rebuild api, update types * add redux-dynamic-middlewares as a dependency * feat(ui): add url host transformation * feat(ui): handle already-connected fields * feat(ui): rewrite SqliteItemStore in sqlalchemy * fix(ui): fix sqlalchemy dynamic model instantiation * feat(ui, nodes): metadata wip * feat(ui, nodes): models * feat(ui, nodes): more metadata wip * feat(ui): wip range/iterate * fix(nodes): fix sqlite typing * feat(ui): export new type for invoke component * tests(nodes): fix test instantiation of ImageField * feat(nodes): fix LoadImageInvocation * feat(nodes): add `title` ui hint * feat(nodes): make ImageField attrs optional * feat(ui): wip nodes etc * feat(nodes): roll back sqlalchemy * fix(nodes): partially address feedback * fix(backend): roll back changes to pngwriter * feat(nodes): wip address metadata feedback * feat(nodes): add seeded rng to RandomRange * feat(nodes): address feedback * feat(nodes): move GET images error handling to DiskImageStorage * feat(nodes): move GET images error handling to DiskImageStorage * fix(nodes): fix image output schema customization * feat(ui): img2img/txt2img -> linear - remove txt2img and img2img tabs - add linear tab - add initial image selection to linear parameters accordion * feat(ui): tidy graph builders * feat(ui): tidy misc * feat(ui): improve invocation union types * feat(ui): wip metadata viewer recall * feat(ui): move fonts to normal deps * feat(nodes): fix broken upload * feat(nodes): add metadata module + tests, thumbnails - `MetadataModule` is stateless and needed in places where the `InvocationContext` is not available, so have not made it a `service` - Handles loading/parsing/building metadata, and creating png info objects - added tests for MetadataModule - Lifted thumbnail stuff to util * fix(nodes): revert change to RandomRangeInvocation * feat(nodes): address feedback - make metadata a service - rip out pydantic validation, implement metadata parsing as simple functions - update tests - address other minor feedback items * fix(nodes): fix other tests * fix(nodes): add metadata service to cli * fix(nodes): fix latents/image field parsing * feat(nodes): customise LatentsField schema * feat(nodes): move metadata parsing to frontend * fix(nodes): fix metadata test --------- Co-authored-by: maryhipp <maryhipp@gmail.com> Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-04-22 03:10:20 +00:00
return ImageOutput(
image=ImageField(image_name=image_dto.image_name),
width=image_dto.width,
height=image_dto.height,
)