InvokeAI/invokeai/frontend/web/src/services/api/index.ts

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import { createSelectorCreator, lruMemoize } from '@reduxjs/toolkit';
import type { FetchBaseQueryArgs } from '@reduxjs/toolkit/dist/query/fetchBaseQuery';
import type { BaseQueryFn, FetchArgs, FetchBaseQueryError, TagDescription } from '@reduxjs/toolkit/query/react';
import { buildCreateApi, coreModule, fetchBaseQuery, reactHooksModule } from '@reduxjs/toolkit/query/react';
import { $authToken } from 'app/store/nanostores/authToken';
import { $baseUrl } from 'app/store/nanostores/baseUrl';
import { $projectId } from 'app/store/nanostores/projectId';
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
feat(ui): another go at gallery (#3791) * feat(ui): migrate listImages to RTK query using createEntityAdapter - see comments in `endpoints/images.ts` for explanation of the caching - so far, only manually updating `all` images when new image is generated. no other manual cache updates are implemented, but will be needed. - fixed some weirdness with loading state components (like the spinners in gallery) - added `useThumbnailFallback` for `IAIDndImage`, this displays the tiny webp thumbnail while the full-size images load - comment out some old thunk related stuff in gallerySlice, which is no longer needed * feat(ui): add manual cache updates for board changes (wip) - update RTK Query caches when adding/removing single image to/from board - work more on migrating all image-related operations to RTK Query * update AddImagesToBoardContext so that it works when user uses context menu + modal * handle case where no image is selected * get assets working for main list and boards - dnd only * feat(ui): migrate image uploads to RTK Query - minor refactor of `ImageUploader` and `useImageUploadButton` hooks, simplify some logic - style filesystem upload overlay to match existing UI - replace all old `imageUploaded` thunks with `uploadImage` RTK Query calls, update associated logic including canvas related uploads - simplify `PostUploadAction`s that only need to display user input * feat(ui): remove `receivedPageOfImages` thunks * feat(ui): remove `receivedImageUrls` thunk * feat(ui): finish removing all images thunks stuff now broken: - image usage - delete board images - on first load, no image selected * feat(ui): simplify `updateImage` cache manipulation - we don't actually ever change categories, so we can remove a lot of logic * feat(ui): simplify canvas autosave - instead of using a network request to set the canvas generation as not intermediate, we can just do that in the graph * feat(ui): simplify & handle edge cases in cache updates * feat(db, api): support `board_id='none'` for `get_many` images queries This allows us to get all images that are not on a board. * chore(ui): regen types * feat(ui): add `All Assets`, `No Board` boards Restructure boards: - `all images` is all images - `all assets` is all assets - `no board` is all images/assets without a board set - user boards may have images and assets Update caching logic - much simpler without every board having sub-views of images and assets - update drag and drop operations for all possible interactions * chore(ui): regen types * feat(ui): move download to top of context menu * feat(ui): improve drop overlay styles * fix(ui): fix image not selected on first load - listen for first load of all images board, then select the first image * feat(ui): refactor board deletion api changes: - add route to list all image names for a board. this is required to handle board + image deletion. we need to know every image in the board to determine the image usage across the app. this is fetched only when the delete board and images modal is opened so it's as efficient as it can be. - update the delete board route to respond with a list of deleted `board_images` and `images`, as image names. this is needed to perform accurate clientside state & cache updates after deleting. db changes: - remove unused `board_images` service method to get paginated images dtos for a board. this is now done thru the list images endpoint & images service. needs a small logic change on `images.delete_images_on_board` ui changes: - simplify the delete board modal - no context, just minor prop drilling. this is feasible for boards only because the components that need to trigger and manipulate the modal are very close together in the tree - add cache updates for `deleteBoard` & `deleteBoardAndImages` mutations - the only thing we cannot do directly is on `deleteBoardAndImages`, update the `No Board` board. we'd need to insert image dtos that we may not have loaded. instead, i am just invalidating the tags for that `listImages` cache. so when you `deleteBoardAndImages`, the `No Board` will re-fetch the initial image limit. i think this is more efficient than e.g. fetching all image dtos to insert then inserting them. - handle image usage for `deleteBoardAndImages` - update all (i think/hope) the little bits and pieces in the UI to accomodate these changes * fix(ui): fix board selection logic * feat(ui): add delete board modal loading state * fix(ui): use thumbnails for board cover images * fix(ui): fix race condition with board selection when selecting a board that doesn't have any images loaded, we need to wait until the images haveloaded before selecting the first image. this logic is debounced to ~1000ms. * feat(ui): name 'No Board' correctly, change icon * fix(ui): do not cache listAllImageNames query if we cache it, we can end up with stale image usage during deletion. we could of course manually update the cache as we are doing elsewhere. but because this is a relatively infrequent network request, i'd like to trade increased cache mgmt complexity here for increased resource usage. * feat(ui): reduce drag preview opacity, remove border * fix(ui): fix incorrect queryArg used in `deleteImage` and `updateImage` cache updates * fix(ui): fix doubled open in new tab * fix(ui): fix new generations not getting added to 'No Board' * fix(ui): fix board id not changing on new image when autosave enabled * fix(ui): context menu when selection is 0 need to revise how context menu is triggered later, when we approach multi select * fix(ui): fix deleting does not update counts for all images and all assets * fix(ui): fix all assets board name in boards list collapse button * fix(ui): ensure we never go under 0 for total board count * fix(ui): fix text overflow on board names --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-07-19 16:06:38 +00:00
export const tagTypes = [
'AppVersion',
'AppConfig',
feat(ui): another go at gallery (#3791) * feat(ui): migrate listImages to RTK query using createEntityAdapter - see comments in `endpoints/images.ts` for explanation of the caching - so far, only manually updating `all` images when new image is generated. no other manual cache updates are implemented, but will be needed. - fixed some weirdness with loading state components (like the spinners in gallery) - added `useThumbnailFallback` for `IAIDndImage`, this displays the tiny webp thumbnail while the full-size images load - comment out some old thunk related stuff in gallerySlice, which is no longer needed * feat(ui): add manual cache updates for board changes (wip) - update RTK Query caches when adding/removing single image to/from board - work more on migrating all image-related operations to RTK Query * update AddImagesToBoardContext so that it works when user uses context menu + modal * handle case where no image is selected * get assets working for main list and boards - dnd only * feat(ui): migrate image uploads to RTK Query - minor refactor of `ImageUploader` and `useImageUploadButton` hooks, simplify some logic - style filesystem upload overlay to match existing UI - replace all old `imageUploaded` thunks with `uploadImage` RTK Query calls, update associated logic including canvas related uploads - simplify `PostUploadAction`s that only need to display user input * feat(ui): remove `receivedPageOfImages` thunks * feat(ui): remove `receivedImageUrls` thunk * feat(ui): finish removing all images thunks stuff now broken: - image usage - delete board images - on first load, no image selected * feat(ui): simplify `updateImage` cache manipulation - we don't actually ever change categories, so we can remove a lot of logic * feat(ui): simplify canvas autosave - instead of using a network request to set the canvas generation as not intermediate, we can just do that in the graph * feat(ui): simplify & handle edge cases in cache updates * feat(db, api): support `board_id='none'` for `get_many` images queries This allows us to get all images that are not on a board. * chore(ui): regen types * feat(ui): add `All Assets`, `No Board` boards Restructure boards: - `all images` is all images - `all assets` is all assets - `no board` is all images/assets without a board set - user boards may have images and assets Update caching logic - much simpler without every board having sub-views of images and assets - update drag and drop operations for all possible interactions * chore(ui): regen types * feat(ui): move download to top of context menu * feat(ui): improve drop overlay styles * fix(ui): fix image not selected on first load - listen for first load of all images board, then select the first image * feat(ui): refactor board deletion api changes: - add route to list all image names for a board. this is required to handle board + image deletion. we need to know every image in the board to determine the image usage across the app. this is fetched only when the delete board and images modal is opened so it's as efficient as it can be. - update the delete board route to respond with a list of deleted `board_images` and `images`, as image names. this is needed to perform accurate clientside state & cache updates after deleting. db changes: - remove unused `board_images` service method to get paginated images dtos for a board. this is now done thru the list images endpoint & images service. needs a small logic change on `images.delete_images_on_board` ui changes: - simplify the delete board modal - no context, just minor prop drilling. this is feasible for boards only because the components that need to trigger and manipulate the modal are very close together in the tree - add cache updates for `deleteBoard` & `deleteBoardAndImages` mutations - the only thing we cannot do directly is on `deleteBoardAndImages`, update the `No Board` board. we'd need to insert image dtos that we may not have loaded. instead, i am just invalidating the tags for that `listImages` cache. so when you `deleteBoardAndImages`, the `No Board` will re-fetch the initial image limit. i think this is more efficient than e.g. fetching all image dtos to insert then inserting them. - handle image usage for `deleteBoardAndImages` - update all (i think/hope) the little bits and pieces in the UI to accomodate these changes * fix(ui): fix board selection logic * feat(ui): add delete board modal loading state * fix(ui): use thumbnails for board cover images * fix(ui): fix race condition with board selection when selecting a board that doesn't have any images loaded, we need to wait until the images haveloaded before selecting the first image. this logic is debounced to ~1000ms. * feat(ui): name 'No Board' correctly, change icon * fix(ui): do not cache listAllImageNames query if we cache it, we can end up with stale image usage during deletion. we could of course manually update the cache as we are doing elsewhere. but because this is a relatively infrequent network request, i'd like to trade increased cache mgmt complexity here for increased resource usage. * feat(ui): reduce drag preview opacity, remove border * fix(ui): fix incorrect queryArg used in `deleteImage` and `updateImage` cache updates * fix(ui): fix doubled open in new tab * fix(ui): fix new generations not getting added to 'No Board' * fix(ui): fix board id not changing on new image when autosave enabled * fix(ui): context menu when selection is 0 need to revise how context menu is triggered later, when we approach multi select * fix(ui): fix deleting does not update counts for all images and all assets * fix(ui): fix all assets board name in boards list collapse button * fix(ui): ensure we never go under 0 for total board count * fix(ui): fix text overflow on board names --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-07-19 16:06:38 +00:00
'Board',
2023-07-21 03:48:15 +00:00
'BoardImagesTotal',
'BoardAssetsTotal',
feat(ui): another go at gallery (#3791) * feat(ui): migrate listImages to RTK query using createEntityAdapter - see comments in `endpoints/images.ts` for explanation of the caching - so far, only manually updating `all` images when new image is generated. no other manual cache updates are implemented, but will be needed. - fixed some weirdness with loading state components (like the spinners in gallery) - added `useThumbnailFallback` for `IAIDndImage`, this displays the tiny webp thumbnail while the full-size images load - comment out some old thunk related stuff in gallerySlice, which is no longer needed * feat(ui): add manual cache updates for board changes (wip) - update RTK Query caches when adding/removing single image to/from board - work more on migrating all image-related operations to RTK Query * update AddImagesToBoardContext so that it works when user uses context menu + modal * handle case where no image is selected * get assets working for main list and boards - dnd only * feat(ui): migrate image uploads to RTK Query - minor refactor of `ImageUploader` and `useImageUploadButton` hooks, simplify some logic - style filesystem upload overlay to match existing UI - replace all old `imageUploaded` thunks with `uploadImage` RTK Query calls, update associated logic including canvas related uploads - simplify `PostUploadAction`s that only need to display user input * feat(ui): remove `receivedPageOfImages` thunks * feat(ui): remove `receivedImageUrls` thunk * feat(ui): finish removing all images thunks stuff now broken: - image usage - delete board images - on first load, no image selected * feat(ui): simplify `updateImage` cache manipulation - we don't actually ever change categories, so we can remove a lot of logic * feat(ui): simplify canvas autosave - instead of using a network request to set the canvas generation as not intermediate, we can just do that in the graph * feat(ui): simplify & handle edge cases in cache updates * feat(db, api): support `board_id='none'` for `get_many` images queries This allows us to get all images that are not on a board. * chore(ui): regen types * feat(ui): add `All Assets`, `No Board` boards Restructure boards: - `all images` is all images - `all assets` is all assets - `no board` is all images/assets without a board set - user boards may have images and assets Update caching logic - much simpler without every board having sub-views of images and assets - update drag and drop operations for all possible interactions * chore(ui): regen types * feat(ui): move download to top of context menu * feat(ui): improve drop overlay styles * fix(ui): fix image not selected on first load - listen for first load of all images board, then select the first image * feat(ui): refactor board deletion api changes: - add route to list all image names for a board. this is required to handle board + image deletion. we need to know every image in the board to determine the image usage across the app. this is fetched only when the delete board and images modal is opened so it's as efficient as it can be. - update the delete board route to respond with a list of deleted `board_images` and `images`, as image names. this is needed to perform accurate clientside state & cache updates after deleting. db changes: - remove unused `board_images` service method to get paginated images dtos for a board. this is now done thru the list images endpoint & images service. needs a small logic change on `images.delete_images_on_board` ui changes: - simplify the delete board modal - no context, just minor prop drilling. this is feasible for boards only because the components that need to trigger and manipulate the modal are very close together in the tree - add cache updates for `deleteBoard` & `deleteBoardAndImages` mutations - the only thing we cannot do directly is on `deleteBoardAndImages`, update the `No Board` board. we'd need to insert image dtos that we may not have loaded. instead, i am just invalidating the tags for that `listImages` cache. so when you `deleteBoardAndImages`, the `No Board` will re-fetch the initial image limit. i think this is more efficient than e.g. fetching all image dtos to insert then inserting them. - handle image usage for `deleteBoardAndImages` - update all (i think/hope) the little bits and pieces in the UI to accomodate these changes * fix(ui): fix board selection logic * feat(ui): add delete board modal loading state * fix(ui): use thumbnails for board cover images * fix(ui): fix race condition with board selection when selecting a board that doesn't have any images loaded, we need to wait until the images haveloaded before selecting the first image. this logic is debounced to ~1000ms. * feat(ui): name 'No Board' correctly, change icon * fix(ui): do not cache listAllImageNames query if we cache it, we can end up with stale image usage during deletion. we could of course manually update the cache as we are doing elsewhere. but because this is a relatively infrequent network request, i'd like to trade increased cache mgmt complexity here for increased resource usage. * feat(ui): reduce drag preview opacity, remove border * fix(ui): fix incorrect queryArg used in `deleteImage` and `updateImage` cache updates * fix(ui): fix doubled open in new tab * fix(ui): fix new generations not getting added to 'No Board' * fix(ui): fix board id not changing on new image when autosave enabled * fix(ui): context menu when selection is 0 need to revise how context menu is triggered later, when we approach multi select * fix(ui): fix deleting does not update counts for all images and all assets * fix(ui): fix all assets board name in boards list collapse button * fix(ui): ensure we never go under 0 for total board count * fix(ui): fix text overflow on board names --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-07-19 16:06:38 +00:00
'Image',
'ImageNameList',
'ImageList',
'ImageMetadata',
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
'ImageWorkflow',
2023-08-24 11:42:32 +00:00
'ImageMetadataFromFile',
'IntermediatesCount',
feat: queued generation (#4502) * fix(config): fix typing issues in `config/` `config/invokeai_config.py`: - use `Optional` for things that are optional - fix typing of `ram_cache_size()` and `vram_cache_size()` - remove unused and incorrectly typed method `autoconvert_path` - fix types and logic for `parse_args()`, in which `InvokeAIAppConfig.initconf` *must* be a `DictConfig`, but function would allow it to be set as a `ListConfig`, which presumably would cause issues elsewhere `config/base.py`: - use `cls` for first arg of class methods - use `Optional` for things that are optional - fix minor type issue related to setting of `env_prefix` - remove unused `add_subparser()` method, which calls `add_parser()` on an `ArgumentParser` (method only available on the `_SubParsersAction` object, which is returned from ArgumentParser.add_subparsers()`) * feat: queued generation and batches Due to a very messy branch with broad addition of `isort` on `main` alongside it, some git surgery was needed to get an agreeable git history. This commit represents all of the work on queued generation. See PR for notes. * chore: flake8, isort, black * fix(nodes): fix incorrect service stop() method * fix(nodes): improve names of a few variables * fix(tests): fix up tests after changes to batches/queue * feat(tests): add unit tests for session queue helper functions * feat(ui): dynamic prompts is always enabled * feat(queue): add queue_status_changed event * feat(ui): wip queue graphs * feat(nodes): move cleanup til after invoker startup * feat(nodes): add cancel_by_batch_ids * feat(ui): wip batch graphs & UI * fix(nodes): remove `Batch.batch_id` from required * fix(ui): cleanup and use fixedCacheKey for all mutations * fix(ui): remove orphaned nodes from canvas graphs * fix(nodes): fix cancel_by_batch_ids result count * fix(ui): only show cancel batch tooltip when batches were canceled * chore: isort * fix(api): return `[""]` when dynamic prompts generates no prompts Just a simple fallback so we always have a prompt. * feat(ui): dynamicPrompts.combinatorial is always on There seems to be little purpose in using the combinatorial generation for dynamic prompts. I've disabled it by hiding it from the UI and defaulting combinatorial to true. If we want to enable it again in the future it's straightforward to do so. * feat: add queue_id & support logic * feat(ui): fix upscale button It prepends the upscale operation to queue * feat(nodes): return queue item when enqueuing a single graph This facilitates one-off graph async workflows in the client. * feat(ui): move controlnet autoprocess to queue * fix(ui): fix non-serializable DOMRect in redux state * feat(ui): QueueTable performance tweaks * feat(ui): update queue list Queue items expand to show the full queue item. Just as JSON for now. * wip threaded session_processor * feat(nodes,ui): fully migrate queue to session_processor * feat(nodes,ui): add processor events * feat(ui): ui tweaks * feat(nodes,ui): consolidate events, reduce network requests * feat(ui): cleanup & abstract queue hooks * feat(nodes): optimize batch permutation Use a generator to do only as much work as is needed. Previously, though we only ended up creating exactly as many queue items as was needed, there was still some intermediary work that calculated *all* permutations. When that number was very high, the system had a very hard time and used a lot of memory. The logic has been refactored to use a generator. Additionally, the batch validators are optimized to return early and use less memory. * feat(ui): add seed behaviour parameter This dynamic prompts parameter allows the seed to be randomized per prompt or per iteration: - Per iteration: Use the same seed for all prompts in a single dynamic prompt expansion - Per prompt: Use a different seed for every single prompt "Per iteration" is appropriate for exploring a the latents space with a stable starting noise, while "Per prompt" provides more variation. * fix(ui): remove extraneous random seed nodes from linear graphs * fix(ui): fix controlnet autoprocess not working when queue is running * feat(queue): add timestamps to queue status updates Also show execution time in queue list * feat(queue): change all execution-related events to use the `queue_id` as the room, also include `queue_item_id` in InvocationQueueItem This allows for much simpler handling of queue items. * feat(api): deprecate sessions router * chore(backend): tidy logging in `dependencies.py` * fix(backend): respect `use_memory_db` * feat(backend): add `config.log_sql` (enables sql trace logging) * feat: add invocation cache Supersedes #4574 The invocation cache provides simple node memoization functionality. Nodes that use the cache are memoized and not re-executed if their inputs haven't changed. Instead, the stored output is returned. ## Results This feature provides anywhere some significant to massive performance improvement. The improvement is most marked on large batches of generations where you only change a couple things (e.g. different seed or prompt for each iteration) and low-VRAM systems, where skipping an extraneous model load is a big deal. ## Overview A new `invocation_cache` service is added to handle the caching. There's not much to it. All nodes now inherit a boolean `use_cache` field from `BaseInvocation`. This is a node field and not a class attribute, because specific instances of nodes may want to opt in or out of caching. The recently-added `invoke_internal()` method on `BaseInvocation` is used as an entrypoint for the cache logic. To create a cache key, the invocation is first serialized using pydantic's provided `json()` method, skipping the unique `id` field. Then python's very fast builtin `hash()` is used to create an integer key. All implementations of `InvocationCacheBase` must provide a class method `create_key()` which accepts an invocation and outputs a string or integer key. ## In-Memory Implementation An in-memory implementation is provided. In this implementation, the node outputs are stored in memory as python classes. The in-memory cache does not persist application restarts. Max node cache size is added as `node_cache_size` under the `Generation` config category. It defaults to 512 - this number is up for discussion, but given that these are relatively lightweight pydantic models, I think it's safe to up this even higher. Note that the cache isn't storing the big stuff - tensors and images are store on disk, and outputs include only references to them. ## Node Definition The default for all nodes is to use the cache. The `@invocation` decorator now accepts an optional `use_cache: bool` argument to override the default of `True`. Non-deterministic nodes, however, should set this to `False`. Currently, all random-stuff nodes, including `dynamic_prompt`, are set to `False`. The field name `use_cache` is now effectively a reserved field name and possibly a breaking change if any community nodes use this as a field name. In hindsight, all our reserved field names should have been prefixed with underscores or something. ## One Gotcha Leaf nodes probably want to opt out of the cache, because if they are not cached, their outputs are not saved again. If you run the same graph multiple times, you only end up with a single image output, because the image storage side-effects are in the `invoke()` method, which is bypassed if we have a cache hit. ## Linear UI The linear graphs _almost_ just work, but due to the gotcha, we need to be careful about the final image-outputting node. To resolve this, a `SaveImageInvocation` node is added and used in the linear graphs. This node is similar to `ImagePrimitive`, except it saves a copy of its input image, and has `use_cache` set to `False` by default. This is now the leaf node in all linear graphs, and is the only node in those graphs with `use_cache == False` _and_ the only node with `is_intermedate == False`. ## Workflow Editor All nodes now have a footer with a new `Use Cache [ ]` checkbox. It defaults to the value set by the invocation in its python definition, but can be changed by the user. The workflow/node validation logic has been updated to migrate old workflows to use the new default values for `use_cache`. Users may still want to review the settings that have been chosen. In the event of catastrophic failure when running this migration, the default value of `True` is applied, as this is correct for most nodes. Users should consider saving their workflows after loading them in and having them updated. ## Future Enhancements - Callback A future enhancement would be to provide a callback to the `use_cache` flag that would be run as the node is executed to determine, based on its own internal state, if the cache should be used or not. This would be useful for `DynamicPromptInvocation`, where the deterministic behaviour is determined by the `combinatorial: bool` field. ## Future Enhancements - Persisted Cache Similar to how the latents storage is backed by disk, the invocation cache could be persisted to the database or disk. We'd need to be very careful about deserializing outputs, but it's perhaps worth exploring in the future. * fix(ui): fix queue list item width * feat(nodes): do not send the whole node on every generator progress * feat(ui): strip out old logic related to sessions Things like `isProcessing` are no longer relevant with queue. Removed them all & updated everything be appropriate for queue. May be a few little quirks I've missed... * feat(ui): fix up param collapse labels * feat(ui): click queue count to go to queue tab * tidy(queue): update comment, query format * feat(ui): fix progress bar when canceling * fix(ui): fix circular dependency * feat(nodes): bail on node caching logic if `node_cache_size == 0` * feat(nodes): handle KeyError on node cache pop * feat(nodes): bypass cache codepath if caches is disabled more better no do thing * fix(ui): reset api cache on connect/disconnect * feat(ui): prevent enqueue when no prompts generated * feat(ui): add queue controls to workflow editor * feat(ui): update floating buttons & other incidental UI tweaks * fix(ui): fix missing/incorrect translation keys * fix(tests): add config service to mock invocation services invoking needs access to `node_cache_size` to occur * optionally remove pause/resume buttons from queue UI * option to disable prepending * chore(ui): remove unused file * feat(queue): remove `order_id` entirely, `item_id` is now an autoinc pk --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-09-20 05:09:24 +00:00
'SessionQueueItem',
'SessionQueueStatus',
'SessionProcessorStatus',
'CurrentSessionQueueItem',
'NextSessionQueueItem',
feat: queued generation (#4502) * fix(config): fix typing issues in `config/` `config/invokeai_config.py`: - use `Optional` for things that are optional - fix typing of `ram_cache_size()` and `vram_cache_size()` - remove unused and incorrectly typed method `autoconvert_path` - fix types and logic for `parse_args()`, in which `InvokeAIAppConfig.initconf` *must* be a `DictConfig`, but function would allow it to be set as a `ListConfig`, which presumably would cause issues elsewhere `config/base.py`: - use `cls` for first arg of class methods - use `Optional` for things that are optional - fix minor type issue related to setting of `env_prefix` - remove unused `add_subparser()` method, which calls `add_parser()` on an `ArgumentParser` (method only available on the `_SubParsersAction` object, which is returned from ArgumentParser.add_subparsers()`) * feat: queued generation and batches Due to a very messy branch with broad addition of `isort` on `main` alongside it, some git surgery was needed to get an agreeable git history. This commit represents all of the work on queued generation. See PR for notes. * chore: flake8, isort, black * fix(nodes): fix incorrect service stop() method * fix(nodes): improve names of a few variables * fix(tests): fix up tests after changes to batches/queue * feat(tests): add unit tests for session queue helper functions * feat(ui): dynamic prompts is always enabled * feat(queue): add queue_status_changed event * feat(ui): wip queue graphs * feat(nodes): move cleanup til after invoker startup * feat(nodes): add cancel_by_batch_ids * feat(ui): wip batch graphs & UI * fix(nodes): remove `Batch.batch_id` from required * fix(ui): cleanup and use fixedCacheKey for all mutations * fix(ui): remove orphaned nodes from canvas graphs * fix(nodes): fix cancel_by_batch_ids result count * fix(ui): only show cancel batch tooltip when batches were canceled * chore: isort * fix(api): return `[""]` when dynamic prompts generates no prompts Just a simple fallback so we always have a prompt. * feat(ui): dynamicPrompts.combinatorial is always on There seems to be little purpose in using the combinatorial generation for dynamic prompts. I've disabled it by hiding it from the UI and defaulting combinatorial to true. If we want to enable it again in the future it's straightforward to do so. * feat: add queue_id & support logic * feat(ui): fix upscale button It prepends the upscale operation to queue * feat(nodes): return queue item when enqueuing a single graph This facilitates one-off graph async workflows in the client. * feat(ui): move controlnet autoprocess to queue * fix(ui): fix non-serializable DOMRect in redux state * feat(ui): QueueTable performance tweaks * feat(ui): update queue list Queue items expand to show the full queue item. Just as JSON for now. * wip threaded session_processor * feat(nodes,ui): fully migrate queue to session_processor * feat(nodes,ui): add processor events * feat(ui): ui tweaks * feat(nodes,ui): consolidate events, reduce network requests * feat(ui): cleanup & abstract queue hooks * feat(nodes): optimize batch permutation Use a generator to do only as much work as is needed. Previously, though we only ended up creating exactly as many queue items as was needed, there was still some intermediary work that calculated *all* permutations. When that number was very high, the system had a very hard time and used a lot of memory. The logic has been refactored to use a generator. Additionally, the batch validators are optimized to return early and use less memory. * feat(ui): add seed behaviour parameter This dynamic prompts parameter allows the seed to be randomized per prompt or per iteration: - Per iteration: Use the same seed for all prompts in a single dynamic prompt expansion - Per prompt: Use a different seed for every single prompt "Per iteration" is appropriate for exploring a the latents space with a stable starting noise, while "Per prompt" provides more variation. * fix(ui): remove extraneous random seed nodes from linear graphs * fix(ui): fix controlnet autoprocess not working when queue is running * feat(queue): add timestamps to queue status updates Also show execution time in queue list * feat(queue): change all execution-related events to use the `queue_id` as the room, also include `queue_item_id` in InvocationQueueItem This allows for much simpler handling of queue items. * feat(api): deprecate sessions router * chore(backend): tidy logging in `dependencies.py` * fix(backend): respect `use_memory_db` * feat(backend): add `config.log_sql` (enables sql trace logging) * feat: add invocation cache Supersedes #4574 The invocation cache provides simple node memoization functionality. Nodes that use the cache are memoized and not re-executed if their inputs haven't changed. Instead, the stored output is returned. ## Results This feature provides anywhere some significant to massive performance improvement. The improvement is most marked on large batches of generations where you only change a couple things (e.g. different seed or prompt for each iteration) and low-VRAM systems, where skipping an extraneous model load is a big deal. ## Overview A new `invocation_cache` service is added to handle the caching. There's not much to it. All nodes now inherit a boolean `use_cache` field from `BaseInvocation`. This is a node field and not a class attribute, because specific instances of nodes may want to opt in or out of caching. The recently-added `invoke_internal()` method on `BaseInvocation` is used as an entrypoint for the cache logic. To create a cache key, the invocation is first serialized using pydantic's provided `json()` method, skipping the unique `id` field. Then python's very fast builtin `hash()` is used to create an integer key. All implementations of `InvocationCacheBase` must provide a class method `create_key()` which accepts an invocation and outputs a string or integer key. ## In-Memory Implementation An in-memory implementation is provided. In this implementation, the node outputs are stored in memory as python classes. The in-memory cache does not persist application restarts. Max node cache size is added as `node_cache_size` under the `Generation` config category. It defaults to 512 - this number is up for discussion, but given that these are relatively lightweight pydantic models, I think it's safe to up this even higher. Note that the cache isn't storing the big stuff - tensors and images are store on disk, and outputs include only references to them. ## Node Definition The default for all nodes is to use the cache. The `@invocation` decorator now accepts an optional `use_cache: bool` argument to override the default of `True`. Non-deterministic nodes, however, should set this to `False`. Currently, all random-stuff nodes, including `dynamic_prompt`, are set to `False`. The field name `use_cache` is now effectively a reserved field name and possibly a breaking change if any community nodes use this as a field name. In hindsight, all our reserved field names should have been prefixed with underscores or something. ## One Gotcha Leaf nodes probably want to opt out of the cache, because if they are not cached, their outputs are not saved again. If you run the same graph multiple times, you only end up with a single image output, because the image storage side-effects are in the `invoke()` method, which is bypassed if we have a cache hit. ## Linear UI The linear graphs _almost_ just work, but due to the gotcha, we need to be careful about the final image-outputting node. To resolve this, a `SaveImageInvocation` node is added and used in the linear graphs. This node is similar to `ImagePrimitive`, except it saves a copy of its input image, and has `use_cache` set to `False` by default. This is now the leaf node in all linear graphs, and is the only node in those graphs with `use_cache == False` _and_ the only node with `is_intermedate == False`. ## Workflow Editor All nodes now have a footer with a new `Use Cache [ ]` checkbox. It defaults to the value set by the invocation in its python definition, but can be changed by the user. The workflow/node validation logic has been updated to migrate old workflows to use the new default values for `use_cache`. Users may still want to review the settings that have been chosen. In the event of catastrophic failure when running this migration, the default value of `True` is applied, as this is correct for most nodes. Users should consider saving their workflows after loading them in and having them updated. ## Future Enhancements - Callback A future enhancement would be to provide a callback to the `use_cache` flag that would be run as the node is executed to determine, based on its own internal state, if the cache should be used or not. This would be useful for `DynamicPromptInvocation`, where the deterministic behaviour is determined by the `combinatorial: bool` field. ## Future Enhancements - Persisted Cache Similar to how the latents storage is backed by disk, the invocation cache could be persisted to the database or disk. We'd need to be very careful about deserializing outputs, but it's perhaps worth exploring in the future. * fix(ui): fix queue list item width * feat(nodes): do not send the whole node on every generator progress * feat(ui): strip out old logic related to sessions Things like `isProcessing` are no longer relevant with queue. Removed them all & updated everything be appropriate for queue. May be a few little quirks I've missed... * feat(ui): fix up param collapse labels * feat(ui): click queue count to go to queue tab * tidy(queue): update comment, query format * feat(ui): fix progress bar when canceling * fix(ui): fix circular dependency * feat(nodes): bail on node caching logic if `node_cache_size == 0` * feat(nodes): handle KeyError on node cache pop * feat(nodes): bypass cache codepath if caches is disabled more better no do thing * fix(ui): reset api cache on connect/disconnect * feat(ui): prevent enqueue when no prompts generated * feat(ui): add queue controls to workflow editor * feat(ui): update floating buttons & other incidental UI tweaks * fix(ui): fix missing/incorrect translation keys * fix(tests): add config service to mock invocation services invoking needs access to `node_cache_size` to occur * optionally remove pause/resume buttons from queue UI * option to disable prepending * chore(ui): remove unused file * feat(queue): remove `order_id` entirely, `item_id` is now an autoinc pk --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
2023-09-20 05:09:24 +00:00
'BatchStatus',
'InvocationCacheStatus',
'Model',
2024-02-21 08:42:36 +00:00
'ModelConfig',
'ModelImports',
'T2IAdapterModel',
'MainModel',
'VaeModel',
'IPAdapterModel',
'TextualInversionModel',
'ControlNetModel',
'LoRAModel',
'SDXLRefinerModel',
'Workflow',
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
'WorkflowsRecent',
'Schema',
// This is invalidated on reconnect. It should be used for queries that have changing data,
// especially related to the queue and generation.
'FetchOnReconnect',
] as const;
feat: queued generation (#4502) * fix(config): fix typing issues in `config/` `config/invokeai_config.py`: - use `Optional` for things that are optional - fix typing of `ram_cache_size()` and `vram_cache_size()` - remove unused and incorrectly typed method `autoconvert_path` - fix types and logic for `parse_args()`, in which `InvokeAIAppConfig.initconf` *must* be a `DictConfig`, but function would allow it to be set as a `ListConfig`, which presumably would cause issues elsewhere `config/base.py`: - use `cls` for first arg of class methods - use `Optional` for things that are optional - fix minor type issue related to setting of `env_prefix` - remove unused `add_subparser()` method, which calls `add_parser()` on an `ArgumentParser` (method only available on the `_SubParsersAction` object, which is returned from ArgumentParser.add_subparsers()`) * feat: queued generation and batches Due to a very messy branch with broad addition of `isort` on `main` alongside it, some git surgery was needed to get an agreeable git history. This commit represents all of the work on queued generation. See PR for notes. * chore: flake8, isort, black * fix(nodes): fix incorrect service stop() method * fix(nodes): improve names of a few variables * fix(tests): fix up tests after changes to batches/queue * feat(tests): add unit tests for session queue helper functions * feat(ui): dynamic prompts is always enabled * feat(queue): add queue_status_changed event * feat(ui): wip queue graphs * feat(nodes): move cleanup til after invoker startup * feat(nodes): add cancel_by_batch_ids * feat(ui): wip batch graphs & UI * fix(nodes): remove `Batch.batch_id` from required * fix(ui): cleanup and use fixedCacheKey for all mutations * fix(ui): remove orphaned nodes from canvas graphs * fix(nodes): fix cancel_by_batch_ids result count * fix(ui): only show cancel batch tooltip when batches were canceled * chore: isort * fix(api): return `[""]` when dynamic prompts generates no prompts Just a simple fallback so we always have a prompt. * feat(ui): dynamicPrompts.combinatorial is always on There seems to be little purpose in using the combinatorial generation for dynamic prompts. I've disabled it by hiding it from the UI and defaulting combinatorial to true. If we want to enable it again in the future it's straightforward to do so. * feat: add queue_id & support logic * feat(ui): fix upscale button It prepends the upscale operation to queue * feat(nodes): return queue item when enqueuing a single graph This facilitates one-off graph async workflows in the client. * feat(ui): move controlnet autoprocess to queue * fix(ui): fix non-serializable DOMRect in redux state * feat(ui): QueueTable performance tweaks * feat(ui): update queue list Queue items expand to show the full queue item. Just as JSON for now. * wip threaded session_processor * feat(nodes,ui): fully migrate queue to session_processor * feat(nodes,ui): add processor events * feat(ui): ui tweaks * feat(nodes,ui): consolidate events, reduce network requests * feat(ui): cleanup & abstract queue hooks * feat(nodes): optimize batch permutation Use a generator to do only as much work as is needed. Previously, though we only ended up creating exactly as many queue items as was needed, there was still some intermediary work that calculated *all* permutations. When that number was very high, the system had a very hard time and used a lot of memory. The logic has been refactored to use a generator. Additionally, the batch validators are optimized to return early and use less memory. * feat(ui): add seed behaviour parameter This dynamic prompts parameter allows the seed to be randomized per prompt or per iteration: - Per iteration: Use the same seed for all prompts in a single dynamic prompt expansion - Per prompt: Use a different seed for every single prompt "Per iteration" is appropriate for exploring a the latents space with a stable starting noise, while "Per prompt" provides more variation. * fix(ui): remove extraneous random seed nodes from linear graphs * fix(ui): fix controlnet autoprocess not working when queue is running * feat(queue): add timestamps to queue status updates Also show execution time in queue list * feat(queue): change all execution-related events to use the `queue_id` as the room, also include `queue_item_id` in InvocationQueueItem This allows for much simpler handling of queue items. * feat(api): deprecate sessions router * chore(backend): tidy logging in `dependencies.py` * fix(backend): respect `use_memory_db` * feat(backend): add `config.log_sql` (enables sql trace logging) * feat: add invocation cache Supersedes #4574 The invocation cache provides simple node memoization functionality. Nodes that use the cache are memoized and not re-executed if their inputs haven't changed. Instead, the stored output is returned. ## Results This feature provides anywhere some significant to massive performance improvement. The improvement is most marked on large batches of generations where you only change a couple things (e.g. different seed or prompt for each iteration) and low-VRAM systems, where skipping an extraneous model load is a big deal. ## Overview A new `invocation_cache` service is added to handle the caching. There's not much to it. All nodes now inherit a boolean `use_cache` field from `BaseInvocation`. This is a node field and not a class attribute, because specific instances of nodes may want to opt in or out of caching. The recently-added `invoke_internal()` method on `BaseInvocation` is used as an entrypoint for the cache logic. To create a cache key, the invocation is first serialized using pydantic's provided `json()` method, skipping the unique `id` field. Then python's very fast builtin `hash()` is used to create an integer key. All implementations of `InvocationCacheBase` must provide a class method `create_key()` which accepts an invocation and outputs a string or integer key. ## In-Memory Implementation An in-memory implementation is provided. In this implementation, the node outputs are stored in memory as python classes. The in-memory cache does not persist application restarts. Max node cache size is added as `node_cache_size` under the `Generation` config category. It defaults to 512 - this number is up for discussion, but given that these are relatively lightweight pydantic models, I think it's safe to up this even higher. Note that the cache isn't storing the big stuff - tensors and images are store on disk, and outputs include only references to them. ## Node Definition The default for all nodes is to use the cache. The `@invocation` decorator now accepts an optional `use_cache: bool` argument to override the default of `True`. Non-deterministic nodes, however, should set this to `False`. Currently, all random-stuff nodes, including `dynamic_prompt`, are set to `False`. The field name `use_cache` is now effectively a reserved field name and possibly a breaking change if any community nodes use this as a field name. In hindsight, all our reserved field names should have been prefixed with underscores or something. ## One Gotcha Leaf nodes probably want to opt out of the cache, because if they are not cached, their outputs are not saved again. If you run the same graph multiple times, you only end up with a single image output, because the image storage side-effects are in the `invoke()` method, which is bypassed if we have a cache hit. ## Linear UI The linear graphs _almost_ just work, but due to the gotcha, we need to be careful about the final image-outputting node. To resolve this, a `SaveImageInvocation` node is added and used in the linear graphs. This node is similar to `ImagePrimitive`, except it saves a copy of its input image, and has `use_cache` set to `False` by default. This is now the leaf node in all linear graphs, and is the only node in those graphs with `use_cache == False` _and_ the only node with `is_intermedate == False`. ## Workflow Editor All nodes now have a footer with a new `Use Cache [ ]` checkbox. It defaults to the value set by the invocation in its python definition, but can be changed by the user. The workflow/node validation logic has been updated to migrate old workflows to use the new default values for `use_cache`. Users may still want to review the settings that have been chosen. In the event of catastrophic failure when running this migration, the default value of `True` is applied, as this is correct for most nodes. Users should consider saving their workflows after loading them in and having them updated. ## Future Enhancements - Callback A future enhancement would be to provide a callback to the `use_cache` flag that would be run as the node is executed to determine, based on its own internal state, if the cache should be used or not. This would be useful for `DynamicPromptInvocation`, where the deterministic behaviour is determined by the `combinatorial: bool` field. ## Future Enhancements - Persisted Cache Similar to how the latents storage is backed by disk, the invocation cache could be persisted to the database or disk. We'd need to be very careful about deserializing outputs, but it's perhaps worth exploring in the future. * fix(ui): fix queue list item width * feat(nodes): do not send the whole node on every generator progress * feat(ui): strip out old logic related to sessions Things like `isProcessing` are no longer relevant with queue. Removed them all & updated everything be appropriate for queue. May be a few little quirks I've missed... * feat(ui): fix up param collapse labels * feat(ui): click queue count to go to queue tab * tidy(queue): update comment, query format * feat(ui): fix progress bar when canceling * fix(ui): fix circular dependency * feat(nodes): bail on node caching logic if `node_cache_size == 0` * feat(nodes): handle KeyError on node cache pop * feat(nodes): bypass cache codepath if caches is disabled more better no do thing * fix(ui): reset api cache on connect/disconnect * feat(ui): prevent enqueue when no prompts generated * feat(ui): add queue controls to workflow editor * feat(ui): update floating buttons & other incidental UI tweaks * fix(ui): fix missing/incorrect translation keys * fix(tests): add config service to mock invocation services invoking needs access to `node_cache_size` to occur * optionally remove pause/resume buttons from queue UI * option to disable prepending * chore(ui): remove unused file * feat(queue): remove `order_id` entirely, `item_id` is now an autoinc pk --------- Co-authored-by: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
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export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>;
export const LIST_TAG = 'LIST';
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
const dynamicBaseQuery: BaseQueryFn<string | FetchArgs, unknown, FetchBaseQueryError> = async (
args,
api,
extraOptions
) => {
const baseUrl = $baseUrl.get();
const authToken = $authToken.get();
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const projectId = $projectId.get();
const isOpenAPIRequest =
(args instanceof Object && args.url.includes('openapi.json')) ||
(typeof args === 'string' && args.includes('openapi.json'));
const fetchBaseQueryArgs: FetchBaseQueryArgs = {
baseUrl: baseUrl || window.location.href.replace(/\/$/, ''),
};
// When fetching the openapi.json, we need to remove circular references from the JSON.
if (isOpenAPIRequest) {
fetchBaseQueryArgs.jsonReplacer = getCircularReplacer();
}
// openapi.json isn't protected by authorization, but all other requests need to include the auth token and project id.
if (!isOpenAPIRequest) {
fetchBaseQueryArgs.prepareHeaders = (headers) => {
if (authToken) {
headers.set('Authorization', `Bearer ${authToken}`);
}
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if (projectId) {
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headers.set('project-id', projectId);
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}
return headers;
};
}
const rawBaseQuery = fetchBaseQuery(fetchBaseQueryArgs);
return rawBaseQuery(args, api, extraOptions);
};
const createLruSelector = createSelectorCreator(lruMemoize);
const customCreateApi = buildCreateApi(
coreModule({ createSelector: createLruSelector }),
reactHooksModule({ createSelector: createLruSelector })
);
export const api = customCreateApi({
baseQuery: dynamicBaseQuery,
reducerPath: 'api',
tagTypes,
endpoints: () => ({}),
});
function getCircularReplacer() {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const ancestors: Record<string, any>[] = [];
// eslint-disable-next-line @typescript-eslint/no-explicit-any
return function (key: string, value: any) {
if (typeof value !== 'object' || value === null) {
return value;
}
// `this` is the object that value is contained in, i.e., its direct parent.
// eslint-disable-next-line @typescript-eslint/ban-ts-comment
// @ts-ignore don't think it's possible to not have TS complain about this...
while (ancestors.length > 0 && ancestors.at(-1) !== this) {
ancestors.pop();
}
if (ancestors.includes(value)) {
return '[Circular]';
}
ancestors.push(value);
return value;
};
}
export const buildV1Url = (path: string): string => `api/v1/${path}`;
export const buildV2Url = (path: string): string => `api/v2/${path}`;