* feat(ui): add canvas project save/load (.invk format)
Add ZIP-based .invk file format to save and restore the entire canvas
state including all layers, masks, reference images, generation
parameters, LoRAs, and embedded image files. Images are deduplicated
on load - only missing images are re-uploaded from the project file.
- Always clear LoRAs on project load, even when project has none
- Fix jszip dependency ordering in package.json
- Add useAssertSingleton to SaveCanvasProjectDialog for consistency
- Add concurrency limit (max 5) for image fetch/upload requests
- Remove redundant deep-clone in remapCroppableImage (mutate in-place)
- Default project name to "Canvas Project" instead of empty string
* Chore pnpm fix
* feat(ui): group nodes by category in add-node dialog
Add collapsible category grouping to the node picker command palette.
Categories are parsed from the backend schema and displayed as
expandable sections with caret icons. All categories auto-expand
when searching.
* feat(ui): add toggle for category grouping in add-node dialog and prioritize exact matches
Add a persistent "Group Nodes by Category" setting to workflow editor settings,
allowing users to switch between grouped and flat node list views. Also sort
exact title matches to the top when searching.
* fix: update test schema categories to match expected templates
* feat: add expand/collapse all buttons to node picker and fix node categories
Add "Expand All" and "Collapse All" link-buttons above the grouped
category list in the add-node dialog so users can quickly open or
close all categories at once. Buttons are hidden during search since
categories auto-expand while searching.
Fix two miscategorized nodes: Z-Image ControlNet was in "Control"
instead of "Controlnet", and Upscale (RealESRGAN) was in "Esrgan"
instead of "Upscale".
* refactor(nodes): clean up node category taxonomy
Reorganize all built-in invocation categories into a consistent set of
18 groups (model, prompt, conditioning, controlnet_preprocessors,
latents, image, mask, inpaint, tiles, upscale, segmentation, math,
strings, primitives, batch, metadata, multimodal, canvas).
- Move denoise/i2l/l2i nodes consistently into "latents"
- Move all mask creation/manipulation nodes into "mask"
- Split ControlNet preprocessors out of "controlnet" into their own group
- Fold "unet", "vllm", "string", "ip_adapter", "t2i_adapter" into larger
groups
- Move metadata_linked denoise wrappers from "latents" to "metadata"
- Add missing category to ideal_size
- Introduce dedicated "canvas" group for canvas/output/panel nodes
Also adds the now-required `category` field to invocation template
fixtures in validateConnection.test.ts.
* Chore Ruff Format
---------
Co-authored-by: dunkeroni <dunkeroni@gmail.com>
* Feat(Canvas): Add Lasso tool with Freehand and Polygon modes
* Refine Lasso modes behavior and optimisation.
* Fix: Pettier
* added docs/features/Lasso_tool.md
* Fix: Removed restrictions mentioned in PR's conversation:
1. Disabled when there is no visible raster content
2. Lasso is blocked when all inpaint masks are globally hidden.
---------
Co-authored-by: dunkeroni <dunkeroni@gmail.com>
* Add more settings to invokeai.yaml for improved queue management.
* Adjusted description
* More logic tweaking
* chore(api): update generated schema types
* chore(api): update generated schema types
* Add: UI element for max_queue_history to 'Settings' modal.
Now it is possible to set Max queue history in both places: .yaml and UI.
* chore(api): regenerate schema types
* chore(api): normalize generated schema path defaults
---------
Co-authored-by: dunkeroni <dunkeroni@gmail.com>
* feat: Per-user workflow libraries in multiuser mode (#114)
* Add per-user workflow isolation: migration 28, service updates, router ownership checks, is_public endpoint, schema regeneration, frontend UI
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* feat: add shared workflow checkbox to Details panel, auto-tag, gate edit/delete, fix tests
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Restrict model sync to admin users only (#118)
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* feat: distinct splash screens for admin/non-admin users in multiuser mode (#116)
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Disable Save when editing another user's shared workflow in multiuser mode (#120)
* Disable Save when editing another user's shared workflow in multiuser mode
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* chore(app): ruff
* Add board visibility (private/shared/public) feature with tests and UI
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Enforce read-only access for non-owners of shared/public boards in UI
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Fix remaining board access enforcement: invoke icon, drag-out, change-board filter, archive
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* fix: allow drag from shared boards to non-board targets (viewer, ref image, etc.)
Previously, images in shared boards owned by another user could not be
dragged at all — the draggable setup was completely skipped in
GalleryImage.tsx when canWriteImages was false. This blocked ALL drop
targets including the viewer, reference image pane, and canvas.
Now images are always draggable. The board-move restriction is enforced
in the dnd target isValid functions instead:
- addImageToBoardDndTarget: rejects moves from shared boards the user
doesn't own (unless admin or board is public)
- removeImageFromBoardDndTarget: same check
Other drop targets (viewer, reference images, canvas, comparison, etc.)
remain fully functional for shared board images.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(security): add auth requirement to all sensitive routes in multimodal mode
* chore(backend): ruff
* fix (backend): improve user isolation for session queue and recall parameters
- Sanitize session queue information of all cross-user fields except for the timestamps and status.
- Recall parameters are now user-scoped.
- Queue status endpoints now report user-scoped activity rather than global activity
- Tests added:
TestSessionQueueSanitization (4 tests):
1. test_owner_sees_all_fields - Owner sees complete queue item data
2. test_admin_sees_all_fields - Admin sees complete queue item data
3. test_non_owner_sees_only_status_timestamps_errors -
Non-owner sees only item_id, queue_id, status, and timestamps; everything else is redacted
4. test_sanitization_does_not_mutate_original - Sanitization doesn't modify the original object
TestRecallParametersIsolation (2 tests):
5. test_user1_write_does_not_leak_to_user2 - User1's recall params are not visible in user2's client state
6. test_two_users_independent_state - Both users can write recall params independently without overwriting each other
fix(backend): queue status endpoints report user-scoped stats rather than global stats
* fix(workflow): do not filter default workflows in multiuser mode
Problem: When categories=['user', 'default'] (or no category filter)
and user_id was set for multiuser scoping, the SQL query became
WHERE category IN ('user', 'default') AND user_id = ?,
which excluded default workflows (owned by "system").
Fix: Changed user_id = ? to (user_id = ? OR category = 'default') in
all 6 occurrences across workflow_records_sqlite.py — in get_many,
counts_by_category, counts_by_tag, and get_all_tags. Default
workflows are now always visible regardless of user scoping.
Tests added (2):
- test_default_workflows_visible_when_listing_user_and_default — categories=['user','default'] includes both
- test_default_workflows_visible_when_no_category_filter — no filter still shows defaults
* fix(multiuser): scope queue/recall/intermediates endpoints to current user
Several read-only and event-emitting endpoints were leaking aggregate
cross-user activity in multiuser mode:
- recall_parameters_updated event was broadcast to every queue
subscriber. Added user_id to the event and routed it to the owner +
admin rooms only.
- get_queue_status, get_batch_status, counts_by_destination and
get_intermediates_count now scope counts to the calling user
(admins still see global state). Removed the now-redundant
user_pending/user_in_progress fields and simplified QueueCountBadge.
- get_queue_status hides current item_id/session_id/batch_id when the
current item belongs to another user.
Also fixes test_session_queue_sanitization assertions that lagged
behind the recently expanded redaction set.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* chore(backend): ruff
* fix(multiuser): reject anonymous websockets and scope queue item events
Close three cross-user leaks in the websocket layer:
- _handle_connect() now rejects connections without a valid JWT in
multiuser mode (previously fell through to user_id="system"), so
anonymous clients can no longer subscribe to queue rooms and observe
other users' activity. In single-user mode it still accepts as system
admin.
- _handle_sub_queue() no longer silently falls back to the system user
for an unknown sid in multiuser mode; it refuses the subscription.
- QueueItemStatusChangedEvent and BatchEnqueuedEvent are now routed to
user:{user_id} + admin rooms instead of the full queue room. Both
events carry unsanitized user_id, batch_id, origin, destination,
session_id, and error metadata and must not be broadcast.
- BatchEnqueuedEvent gains a user_id field; emit_batch_enqueued and
enqueue_batch thread it through.
New TestWebSocketAuth suite covers connect accept/reject for both
modes, sub_queue refusal, and private routing of the queue item and
batch events (plus a QueueClearedEvent sanity check).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): verify user record on websocket connect
A deleted or deactivated user with an unexpired JWT could still open a
websocket and subscribe to queue rooms. Now _handle_connect() checks the
backing user record (exists + is_active) in multiuser mode, mirroring
the REST auth path in auth_dependencies.py. Fails closed if the user
service is unavailable.
Tests: added deleted-user and inactive-user rejection tests; updated
valid-token test to create the user in the database first.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): close bulk download cross-user exfiltration path
Backend:
- POST /download now validates image read access (per-image) and board
read access (per-board) before queuing the download.
- GET /download/{name} is intentionally unauthenticated because the
browser triggers it via <a download> which cannot carry Authorization
headers. Access control relies on POST-time checks, UUID filename
unguessability, private socket event routing, and single-fetch deletion.
- Added _assert_board_read_access() helper to images router.
- Threaded user_id through bulk download handler, base class, event
emission, and BulkDownloadEventBase so events carry the initiator.
- Bulk download service now tracks download ownership via _download_owners
dict (cleaned up on delete).
- Socket bulk_download room subscription restricted to authenticated
sockets in multiuser mode.
- Added error-catching in FastAPIEventService._dispatch_from_queue to
prevent silent event dispatch failures.
Frontend:
- Fixed pre-existing race condition where the "Preparing Download" toast
from the POST response overwrote the "Ready to Download" toast from the
socket event (background task completes in ~17ms, so the socket event
can arrive before Redux processes the HTTP response). Toast IDs are now
distinct: "preparing:{name}" vs "{name}".
- bulk_download_complete/error handlers now dismiss the preparing toast.
Tests (8 new):
- Bulk download by image names rejected for non-owner (403)
- Bulk download by image names allowed for owner (202)
- Bulk download from private board rejected (403)
- Bulk download from shared board allowed (202)
- Admin can bulk download any images (202)
- Bulk download events carry user_id
- Bulk download event emitted to download room
- GET /download unauthenticated returns 404 for unknown files
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): enforce board visibility on image listing endpoints
GET /api/v1/images?board_id=... and GET /api/v1/images/names?board_id=...
passed board_id directly to the SQL layer without checking board
visibility. The SQL only applied user_id filtering for board_id="none"
(uncategorized images), so any authenticated user who knew a private
board ID could enumerate its images.
Both endpoints now call _assert_board_read_access() before querying,
returning 403 unless the caller is the board owner, an admin, or the
board is Shared/Public.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* chore(backend): ruff
* fix(multiuser): require image ownership when adding images to boards
add_image_to_board and add_images_to_board only checked write access to
the destination board, never verifying that the caller owned the source
image. An attacker could add a victim's image to their own board, then
exploit the board-ownership fallback in _assert_image_owner to gain
delete/patch/star/unstar rights on the image.
Both endpoints now call _assert_image_direct_owner which requires direct
image ownership (image_records.user_id) or admin — board ownership is
intentionally not sufficient, preventing the escalation chain.
Also fixed a pre-existing bug where HTTPException from the inner loop in
add_images_to_board was caught by the outer except-Exception and returned
as 500 instead of propagating the correct status code.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* chore(backend): ruff
* fix(multiuser): validate image access in recall parameter resolution
The recall endpoint loaded image files and ran ControlNet preprocessors
on any image_name supplied in control_layers or ip_adapters without
checking that the caller could read the image. An attacker who knew
another user's image UUID could extract dimensions and, for supported
preprocessors, mint a derived processed image they could then fetch.
Added _assert_recall_image_access() which validates read access for every
image referenced in the request before any resolution or processing
occurs. Access is granted to the image owner, admins, or when the image
sits on a Shared/Public board.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): require admin auth on model install job endpoints
list_model_installs, get_model_install_job, pause, resume,
restart_failed, and restart_file were unauthenticated — any caller who
could reach the API could view sensitive install job fields (source,
local_path, error_traceback) and interfere with installation state.
All six endpoints now require AdminUserOrDefault, consistent with the
neighboring cancel and prune routes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): close bulk download exfiltration and additional review findings
Bulk download capability token exfiltration:
- Socket events now route to user:{user_id} + admin rooms instead of the
shared 'default' room (the earlier toast race that blocked this approach
was fixed in a prior commit).
- GET /download/{name} re-requires CurrentUserOrDefault and enforces
ownership via get_owner().
- Frontend download handler replaced <a download> (which cannot carry auth
headers) with fetch() + Authorization header + programmatic blob download.
Additional fixes from reviewer tests:
- Public boards now grant write access in _assert_board_write_access and
mutation rights in _assert_image_owner (BoardVisibility.Public).
- Uncategorized image listing (GET /boards/none/image_names) now filters
to the caller's images only, preventing cross-user enumeration.
- board_images router uses board_image_records.get_board_for_image()
instead of images.get_dto() to avoid dependency on image_files service.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): add user_id scoping to workflow SQL mutations
Defense-in-depth: the route layer already checks ownership before
calling update/delete/update_is_public/update_opened_at, but the SQL
statements did not include AND user_id = ?, so a bypass of the route
check would allow cross-user mutations.
All four methods now accept an optional user_id parameter. When
provided, the SQL WHERE clause is scoped to that user. The route layer
passes current_user.user_id for non-admin callers and None for admins.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(multiuser): allow non-owner uploads to public boards
upload_image() blocked non-owner uploads even to public boards. The
board write check now allows uploads when board_visibility is Public,
consistent with the public-board semantics in _assert_board_write_access
and _assert_image_owner.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Jonathan <34005131+JPPhoto@users.noreply.github.com>
* feat: add configurable shift parameter for Z-Image sigma schedule
Add a shift (mu) override to the Z-Image denoise invocation and expose
it in the UI. When left blank, shift is auto-calculated from image
dimensions (existing behavior). Users can override to fine-tune the
timestep schedule, with an inline X button to reset back to auto.
* refactor: switch Z-Image sigma schedule from exponential to linear time shift
Use shift directly as a linear multiplier instead of exp(mu), giving
more predictable and uniform control over the timestep schedule.
Auto-calculated values are converted via exp(mu) to preserve identical
default behavior.
* feat: recall Z-Image shift parameter from metadata
Write z_image_shift into graph metadata and add a ZImageShift recall
handler so the shift override can be restored from previously generated
images. Auto-mode (null) is omitted from metadata to avoid persisting a
stale value.
---------
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
openapi-typescript computes enum types from `const` usage in
discriminated unions rather than from the enum definition itself,
dropping values that only appear in some union members (e.g. "anima"
from BaseModelType). Add a post-processing step that patches generated
string enum types to match the actual OpenAPI schema definitions.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Alexander Eichhorn <alex@eichhorn.dev>
* fix(ui): replace all hardcoded frontend strings with i18n translation keys
Remove fallback/defaultValue strings from t() calls, replace hardcoded
English text in labels, tooltips, aria-labels, placeholders and JSX content
with proper t() calls, and add ~50 missing keys to en.json. Fix incorrect
i18n key paths in CanvasObjectImage.ts and a Zoom button aria-label bug
in CanvasToolbarScale.tsx.
* chore pnpm run fix
---------
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
* feat(frontend): suppress tooltips on touch devices
* fix(frontend): change selector to role="tooltip" because .chakra-tooltip does not match
* chore(frontend): lint:prettier
* feat: add Anima model support
* schema
* image to image
* regional guidance
* loras
* last fixes
* tests
* fix attributions
* fix attributions
* refactor to use diffusers reference
* fix an additional lora type
* some adjustments to follow flux 2 paper implementation
* use t5 from model manager instead of downloading
* make lora identification more reliable
* fix: resolve lint errors in anima module
Remove unused variable, fix import ordering, inline dict() call,
and address minor lint issues across anima-related files.
* Chore Ruff format again
* fix regional guidance error
* fix(anima): validate unexpected keys after strict=False checkpoint loading
Capture the load_state_dict result and raise RuntimeError on unexpected
keys (indicating a corrupted or incompatible checkpoint), while logging
a warning for missing keys (expected for inv_freq buffers regenerated
at runtime).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): make model loader submodel fields required instead of Optional
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): add Classification.Prototype to LoRA loaders, fix exception types
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): fix replace-all in key conversion, warn on DoRA+LoKR, unify grouping functions
- Use key.replace(old, new, 1) in _convert_kohya_unet_key and _convert_kohya_te_key to avoid replacing multiple occurrences
- Upgrade DoRA+LoKR dora_scale strip from logger.debug to logger.warning since it represents data loss
- Replace _group_kohya_keys and _group_by_layer with a single _group_keys_by_layer function parameterized by extra_suffixes, with _KOHYA_KNOWN_SUFFIXES and _PEFT_EXTRA_SUFFIXES constants
- Add test_empty_state_dict_returns_empty_model to verify empty input produces a model with no layers
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): add safety cap for Qwen3 sequence length to prevent OOM
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): add denoising range validation, fix closure capture, add edge case tests
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): add T5 to metadata, fix dead code, decouple scheduler type guard
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(anima): update VAE field description for required field
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: regenerate frontend types after upstream merge
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore: ruff format anima_denoise.py
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(anima): add T5 encoder metadata recall handler
The T5 encoder was added to generation metadata but had no recall
handler, so it wasn't restored when recalling from metadata.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore(frontend): add regression test for buildAnimaGraph
Add tests for CFG gating (negative conditioning omitted when cfgScale <= 1)
and basic graph structure (model loader, text encoder, denoise nodes).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* only show 0.6b for anima
* dont show 0.6b for other models
* schema
* Anima preview 3
* fix ci
---------
Co-authored-by: Your Name <you@example.com>
Co-authored-by: kappacommit <samwolfe40@gmail.com>
Co-authored-by: Alexander Eichhorn <alex@eichhorn.dev>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
* feat: Add canvas-workflow integration feature
This commit implements a new feature that allows users to run workflows
directly from the unified canvas. Users can now:
- Access a "Run Workflow" option from the canvas layer context menu
- Select a workflow with image parameters from a modal dialog
- Customize workflow parameters (non-image fields)
- Execute the workflow with the current canvas layer as input
- Have the result automatically added back to the canvas
Key changes:
- Added canvasWorkflowIntegrationSlice for state management
- Created CanvasWorkflowIntegrationModal and related UI components
- Added context menu item to raster layers
- Integrated workflow execution with canvas image extraction
- Added modal to global modal isolator
This integration enhances the canvas by allowing users to leverage
custom workflows for advanced image processing directly within the
canvas workspace.
Implements feature request for deeper workflow-canvas integration.
* refactor(ui): simplify canvas workflow integration field rendering
- Extract WorkflowFieldRenderer component for individual field rendering
- Add WorkflowFormPreview component to handle workflow parameter display
- Remove workflow compatibility filtering - allow all workflows
- Simplify workflow selector to use flattened workflow list
- Add comprehensive field type support (String, Integer, Float, Boolean, Enum, Scheduler, Board, Model, Image, Color)
- Implement image field selection UI with radio
* feat(ui): add canvas-workflow-integration logging namespace
* feat(ui): add workflow filtering for canvas-workflow integration
- Add useFilteredWorkflows hook to filter workflows with ImageField inputs
- Add workflowHasImageField utility to check for ImageField in Form Builder
- Only show workflows that have Form Builder with at least one ImageField
- Add loading state while filtering workflows
- Improve error messages to clarify Form Builder requirement
- Update modal description to mention Form Builder and parameter adjustment
- Add fallback error message for workflows without Form Builder
* feat(ui): add persistence and migration for canvas workflow integration state
- Add _version field (v1) to canvasWorkflowIntegrationState for future migrations
- Add persistConfig with migration function to handle version upgrades
- Add persistDenylist to exclude transient state (isOpen, isProcessing, sourceEntityIdentifier)
- Use es-toolkit isPlainObject and tsafe assert for type-safe migration
- Persist selectedWorkflowId and fieldValues across sessions
* pnpm fix imports
* fix(ui): handle workflow errors in canvas staging area and improve form UX
- Clear processing state when workflow execution fails at enqueue time
or during invocation, so the modal doesn't get stuck
- Optimistically update listAllQueueItems cache on queue item status
changes so the staging area immediately exits on failure
- Clear processing state on invocation_error for canvas workflow origin
- Auto-select the only unfilled ImageField in workflow form
- Fix image field overflow and thumbnail sizing in workflow form
* feat(ui): add canvas_output node and entry-based staging area
Add a dedicated `canvas_output` backend invocation node that explicitly
marks which images go to the canvas staging area, replacing the fragile
board-based heuristic. Each `canvas_output` node produces a separate
navigable entry in the staging area, allowing workflows with multiple
outputs to be individually previewed and accepted.
Key changes:
- New `CanvasOutputInvocation` backend node (canvas.py)
- Entry-based staging area model where each output image is a separate
navigable entry with flat next/prev cycling across all items
- Frontend execute hook uses `canvas_output` type detection instead of
board field heuristic, with proper board field value translation
- Workflow filtering requires both Form Builder and canvas_output node
- Updated QueueItemPreviewMini and StagingAreaItemsList for entries
- Tests for entry-based navigation, multi-output, and race conditions
* Chore pnp run fix
* Chore eslint fix
* Remove unused useOutputImageDTO export to fix knip lint
* Update invokeai/frontend/web/src/features/controlLayers/components/CanvasWorkflowIntegration/useCanvasWorkflowIntegrationExecute.tsx
Co-authored-by: dunkeroni <dunkeroni@gmail.com>
* move UI text to en.json
* fix conflicts merge with main
* generate schema
* Chore typegen
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
Co-authored-by: dunkeroni <dunkeroni@gmail.com>
Klein 9B Base (undistilled) and Klein 9B (distilled) have identical
architectures and cannot be distinguished from the state dict alone.
Use a filename heuristic ("base" in the name) to detect the Base
variant for checkpoint, GGUF, and diffusers format models.
Also fixes the incorrect guidance_embeds-based detection for diffusers
format, since both variants have guidance_embeds=False.
* feat: add support for OneTrainer BFL Flux LoRA format
Newer versions of OneTrainer export Flux LoRAs using BFL internal key
names (double_blocks, single_blocks, img_attn, etc.) with a
'transformer.' prefix and split QKV projections (qkv.0/1/2, linear1.0/1/2/3).
This format was not recognized by any existing detector.
Add detection and conversion for this format, merging split QKV and
linear1 layers into MergedLayerPatch instances for the fused BFL model.
* chore ruff
OneTrainer exports Z-Image LoRAs with 'transformer.layers.' key prefix
instead of 'diffusion_model.layers.'. Add this prefix (and the
PEFT-wrapped 'base_model.model.transformer.layers.' variant) to the
Z-Image LoRA probe so these models are correctly identified and loaded.
* Added If node
* Added stricter type checking on inputs
* feat(nodes): make if-node type checks cardinality-aware without loosening global AnyField
* chore: typegen
* Initial plan
* Warn user when credentials have expired in multiuser mode
Agent-Logs-Url: https://github.com/lstein/InvokeAI/sessions/f0947cda-b15c-475d-b7f4-2d553bdf2cd6
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Address code review: avoid multiple localStorage reads in base query
Agent-Logs-Url: https://github.com/lstein/InvokeAI/sessions/f0947cda-b15c-475d-b7f4-2d553bdf2cd6
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* bugfix(multiuser): ask user to log back in when authentication token expires
* feat: sliding window session expiry with token refresh
Backend:
- SlidingWindowTokenMiddleware refreshes JWT on each mutating request
(POST/PUT/PATCH/DELETE), returning a new token in X-Refreshed-Token
response header. GET requests don't refresh (they're often background
fetches that shouldn't reset the inactivity timer).
- CORS expose_headers updated to allow X-Refreshed-Token.
Frontend:
- dynamicBaseQuery picks up X-Refreshed-Token from responses and
updates localStorage so subsequent requests use the fresh expiry.
- 401 handler only triggers sessionExpiredLogout when a token was
actually sent (not for unauthenticated background requests).
- ProtectedRoute polls localStorage every 5s and listens for storage
events to detect token removal (e.g. manual deletion, other tabs).
Result: session expires after TOKEN_EXPIRATION_NORMAL (1 day) of
inactivity, not a fixed time after login. Any user-initiated action
resets the clock.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* chore(backend): ruff
* fix: address review feedback on auth token handling
Bug fixes:
- ProtectedRoute: only treat 401 errors as session expiry, not
transient 500/network errors that should not force logout
- Token refresh: use explicit remember_me claim in JWT instead of
inferring from remaining lifetime, preventing silent downgrade of
7-day tokens to 1-day when <24h remains
- TokenData: add remember_me field, set during login
Tests (6 new):
- Mutating requests (POST/PUT/DELETE) return X-Refreshed-Token
- GET requests do not return X-Refreshed-Token
- Unauthenticated requests do not return X-Refreshed-Token
- Remember-me token refreshes to 7-day duration even near expiry
- Normal token refreshes to 1-day duration
- remember_me claim preserved through refresh cycle
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* chore(backend): ruff
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Jonathan <34005131+JPPhoto@users.noreply.github.com>
* feat: add bulk reidentify action for models (#8951)
Add a "Reidentify Models" bulk action to the model manager, allowing
users to re-probe multiple models at once instead of one by one.
- Backend: POST /api/v2/models/i/bulk_reidentify endpoint with partial
failure handling (returns succeeded/failed lists)
- Frontend: bulk reidentify mutation, confirmation modal with warning
about custom settings reset, toast notifications for all outcomes
- i18n: new translation keys for bulk reidentify UI strings
* fix typgen
* Fix bulk reidentify failing for models without trigger_phrases
The bulk reidentify endpoint was directly assigning trigger_phrases
without checking if the config type supports it, causing an
AttributeError for ControlNet models. Added the same hasattr guard
used by the individual reidentify endpoint. Also restored the
missing path preservation that the individual endpoint has.
* Repair partially loaded Qwen models after cancel to avoid device mismatches
* ruff
* Repair CogView4 text encoder after canceled partial loads
* Avoid MPS CI crash in repair regression test
* Fix MPS device assertion in repair test
* fix(ui): resolve models by name+base+type when recalling metadata for reinstalled models
When a model (IP Adapter, ControlNet, etc.) is deleted and reinstalled,
it gets a new UUID key. Previously, metadata recall would fail because
it only looked up models by their stored UUID key. Now the recall falls
back to searching by name+base+type, allowing reinstalled models with
the same name to be correctly resolved.
https://claude.ai/code/session_01XYubzMK363BXGTvfJJqFnX
* Add hash-based model recall fallback for reinstalled models
When a model is deleted and reinstalled, it gets a new UUID key but
retains the same BLAKE3 content hash. This adds hash as a middle
fallback stage in model resolution (key → hash → name+base+type),
making recall more robust.
Changes:
- Add /api/v2/models/get_by_hash backend endpoint (uses existing
search_by_hash from model records store)
- Add getModelConfigByHash RTK Query endpoint in frontend
- Add hash fallback to both resolveModel and parseModelIdentifier
https://claude.ai/code/session_01XYubzMK363BXGTvfJJqFnX
* Chore pnpm fix
* Chore typegen
---------
Co-authored-by: Claude <noreply@anthropic.com>
When deleting a file-based model (e.g. LoRA), the previous logic used
rmtree on the parent directory, which would delete all files in that
folder — even unrelated ones. Now only the specific model file is
removed, and the parent directory is cleaned up only if empty afterward.
