- Add missing aspect ratios (4:5, 5:4, 8:1, 4:1, 1:4, 1:8) to type
system for external model support
- Sync canvas bbox when external model resolution preset is selected
- Use params preset dimensions in buildExternalGraph to prevent
"unsupported aspect ratio" errors
- Lock all bbox controls (resize handles, aspect ratio select,
width/height sliders, swap/optimal buttons) for external models
with fixed dimension presets
- Disable denoise strength slider for external models (not applicable)
- Sync bbox aspect ratio changes back to paramsSlice for external models
- Initialize bbox dimensions when switching to an external model
* 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.
- Remove negative_prompt, steps, guidance, reference_image_weights,
reference_image_modes from external model nodes (unused by any provider)
- Remove supports_negative_prompt, supports_steps, supports_guidance
from ExternalModelCapabilities
- Add provider_options dict to ExternalGenerationRequest for
provider-specific parameters
- Add OpenAI-specific fields: quality, background, input_fidelity
- Add Gemini-specific fields: temperature, thinking_level
- Add new OpenAI starter models: GPT Image 1.5, GPT Image 1 Mini,
DALL-E 3, DALL-E 2
- Fix OpenAI provider to use output_format (GPT Image) vs
response_format (DALL-E) and send model ID in requests
- Add fixed aspect ratio sizes for OpenAI models (bucketing)
- Add ExternalProviderRateLimitError with retry logic for 429 responses
- Add provider-specific UI components in ExternalSettingsAccordion
- Simplify ParamSteps/ParamGuidance by removing dead external overrides
- Update all backend and frontend tests
Add combined resolution preset selector for external models that maps
aspect ratio + image size to fixed dimensions. Gemini 3 Pro and 3.1 Flash
now send imageConfig (aspectRatio + imageSize) via generationConfig instead
of text-based aspect ratio hints used by Gemini 2.5 Flash.
Backend: ExternalResolutionPreset model, resolution_presets capability field,
image_size on ExternalGenerationRequest, and Gemini provider imageConfig logic.
Frontend: ExternalSettingsAccordion with combo resolution select, dimension
slider disabling for fixed-size models, and panel schema constraint wiring
for Steps/Guidance/Seed controls.
Add 'external', 'external_image_generator', and 'external_api' to Zod
enum schemas (zBaseModelType, zModelType, zModelFormat) to match the
generated OpenAPI types. Remove redundant union workarounds from
component prop types and Record definitions.
Fix type errors in ModelEdit (react-hook-form Control invariance),
parsing.tsx (model identifier narrowing), buildExternalGraph (edge
typing), and ModelSettings import/export buttons.
Move external_gemini_base_url and external_openai_base_url into
api_keys.yaml alongside the API keys so all external provider config
lives in one dedicated file, separate from invokeai.yaml.
* 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.
* feat: add strict_password_checking config option to relax password requirements
- Add `strict_password_checking: bool = Field(default=False)` to InvokeAIAppConfig
- Add `get_password_strength()` function to password_utils.py (returns weak/moderate/strong)
- Add `strict_password_checking` field to SetupStatusResponse API endpoint
- Update users_base.py and users_default.py to accept `strict_password_checking` param
- Update auth.py router to pass config.strict_password_checking to all user service calls
- Create shared frontend utility passwordUtils.ts for password strength validation
- Update AdministratorSetup, UserProfile, UserManagement components to:
- Fetch strict_password_checking from setup status endpoint
- Show colored strength indicators (red/yellow/blue) in non-strict mode
- Allow any non-empty password in non-strict mode
- Maintain strict validation behavior when strict_password_checking=True
- Update SetupStatusResponse type in auth.ts endpoint
- Add passwordStrength and passwordHelperRelaxed translation keys to en.json
- Add tests for new get_password_strength() function
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* Changes before error encountered
Co-authored-by: lstein <111189+lstein@users.noreply.github.com>
* chore(backend): docstrings
* chore(frontend): typegen
---------
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: Jonathan <34005131+JPPhoto@users.noreply.github.com>
* fix(gallery): restore arrow-key browsing and extract shared prev/next navigation
* Added same behavior to Upscale mode and autofocus to gallery after using hotkeys Ctrl+Enter and Ctrl+Shift+Enter
* restore arrow navigation focus flow across viewer states
* fix(gallery): stabilize arrow-key browsing, remove viewer UI flicker, and optimize code
---------
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
LoRAs trained with musubi-tuner (and potentially other trainers) that
only target transformer blocks (double_blocks/single_blocks) without
embedding layers (txt_in/vector_in/context_embedder) were incorrectly
classified as Flux 1. Add fallback detection using attention projection
hidden_size and MLP ratio from transformer block tensors
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
* perf(flux2): optimize model loading order to prevent cache eviction (fixes#7513)
* Update flux2_klein_text_encoder.py
* Update flux2_klein_text_encoder.py version
---------
Co-authored-by: Alexander Eichhorn <alex@eichhorn.dev>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
The reidentify endpoint overwrote the model's relative path with an
absolute path from the prober, and unconditionally accessed
trigger_phrases which doesn't exist on all config types (e.g. IP
Adapters), causing an AttributeError.
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
