The recipe card pill counted LoRAs deleted from the source (isDeleted) as
available, showing a green 'ready 2/2' for recipes that cannot be fully
reproduced. LoRAs with an unresolvable hash (hashInvalid) were counted as
missing/downloadable even though downloads always fail, and recipe syntax
generation emitted broken tokens for them.
- Four-state status on RecipeCard pill and RecipeTab badge: ready (all in
library), missing (downloadable, red, keeps the action cue), partial
(unobtainable entries skipped when used, amber, fa-circle-minus),
unavailable (nothing usable, gray, fa-ban)
- Pill numerator is now the real in-library count; tooltips spell out
missing vs unavailable (deleted from source or unresolvable hash)
- get_recipe_syntax_tokens skips hashInvalid entries like deleted ones
instead of emitting tokens pointing at nonexistent files
- Bulk missing-download manager and recipe context menu exclude
hashInvalid LoRAs, matching the modal's per-item download block
- New locale keys loraStatus.missingAndUnavailable/partial/noneUsable,
translated for all 9 non-en locales
- Recipe card: compact status pill with state icon + available/total
fraction (e.g. "2/3"), pinned to the footer bottom-right like model
card actions; status is encoded by icon + color, never color alone
- Recipe modal: "N missing" is now a real <button> with a persistent
border, leading download icon, focus-visible ring and aria-label;
clicking opens the download-missing flow
- Fix context menu missing-LoRA detection selector after badge refactor
- i18n: add recipes.status/loraStatus keys with translations for all
10 locales, and fill pending rate-limit translations
Downloads failed with "No suitable file found in metadata" for models whose
only file uses newer CivitAI file types (e.g. 'Enhancement LoRA' for
Anima/AIR image-editing LoRAs) because the primary-file allowlist only
covered legacy types.
- unify the weights-type allowlist as MODEL_WEIGHT_FILE_TYPES
(py/utils/constants.py) and apply it across download, recipe and
metadata-refresh lookups
- mirror CivitAI's getPrimaryFile() semantics: prefer weights-type primary,
fall back to weights files, then trust CivitAI's primary flag (excluding
non-downloadable artifacts like Config/Archive/Workflow)
- mirror the allowlist in the frontend via shared isModelWeightFile() helper
- add regression tests for the Enhancement LoRA primary-file download,
primary-flag fallback and weights-over-non-weights-primary preference
Move the 'Download Missing' / 'Re-process All' example image actions
under a single 'Download Example Images' submenu item in the single-model
and bulk context menus, matching the existing send-to-workflow submenu
pattern. Shorten the submenu labels and update all locale translations.
Split the single-model and bulk context menu actions into 'Download
Missing Example Images' (regular endpoint, skips already-processed
models) and 'Re-process Example Images' (force endpoint, retries
failed models).
- start_download accepts model_hashes so a selected subset can be
processed with the progress-aware skip logic; explicitly targeted
models bypass the failed/processed model-level guards so per-image
gaps are filled
- pre-download existence check in the processor skips network requests
for image files already on disk across all download paths
- force download retries previously failed models and clears their
failed status on success
- add i18n keys for the new menu items across all locales
When using full path lora syntax, the context menu (single/bulk)
and bulk copy actions were passing only the file basename to
buildLoraSyntax(), ignoring the folder prefix. This caused the
output to look like legacy A1111 format even when full path mode
was enabled.
Aligns all entry points with ModelCard.handleSendToWorkflow(),
which correctly includes the folder prefix.
Also fixes selectAllVisibleModels() to cache the folder field,
preventing missing prefix on select-all-then-send flows.
- Merge Relink to Civitai and new Link to HuggingFace into a single
'Link Model' submenu with sub-options for each source
- Add POST /api/lm/set-hf-url endpoint to associate a model with a
HuggingFace repo URL, saving hf_url to .metadata.json
- Add link_hf_modal.html for URL input, following relink-civitai pattern
- Use update_single_model_cache instead of add_model_to_cache to
prevent duplicate cache entries after linking
- Remove os.path.realpath usage for consistency with relink-civitai
- Raise errors instead of silently falling back to LoRA scanner when
model root cannot be determined
- Scope .input-group CSS rules to modal IDs to fix style conflicts
with download-modal.css
- Add i18n keys across all 10 locales with translations for
zh-CN, zh-TW, ja, ko, de, es, fr, he, ru
- PostProcessor returns updates dict from enrich_hf_metadata
- AgentService includes updated_data per model in WebSocket progress events
- Convert preview_url to HTTP URL via config.get_preview_static_url()
- LoraContextMenu: showEnhancedProgress + updateSingleItem per model
- BulkContextMenu: same pattern, remove window.location.reload()
- Guard empty updated_data and clean up callbacks on HTTP error
Introduce an agent skill framework for LLM-driven metadata enrichment:
- AgentCLI (py/agent_cli/): in-process wrappers around internal services
using standard relative imports, eliminating the need for sys.path hacks
- LLMService: centralized BYOK (bring-your-own-key) LLM client supporting
OpenAI, Ollama, and custom OpenAI-compatible endpoints
- PostProcessor: deterministic engine that applies LLM output via AgentCLI
(replaces old handler.py + _BASE_MODEL_ALIASES approach)
- SkillRegistry: filesystem-based skill discovery (skill.yaml + prompt.md)
- AgentService: orchestrates skill execution with WebSocket progress
- Frontend AgentManager: WebSocket listeners, skill execution, config UI
- Context menu entries (single + bulk) for "Enrich Metadata (Agent)"
- Settings UI for AI Provider configuration (BYOK)
- Full i18n support across 9 locales
Bug fixes found during review:
- aiohttp.web.json_response: status_code= -> status=
- settings_modal cancelEditApiKey: wrong argument position
- AgentManager.isLlmConfigured: allow Ollama without API key
- PostProcessor._merge_tags: lowercase all tags to match TagUpdateService
- group_by_model dedup now counts versions per group and attaches
version_count; respects update_flag_strategy (same_base) by
sub-grouping on base_model
- Card footer shows clickable 'x versions' link instead of version
name when grouped (hides HIGH/LOW badges); clicking triggers
View Local Versions without page reload
- Added 'Local Versions' sort option (versions_count), auto-hidden
when group_by_model is off
- Sort preference is saved/restored separately for normal and
grouped modes
- VLM flow (triggerVlmView, clearCustomFilter) uses resetAndReload()
via API instead of window.location.reload()
- Fixed cache mutation bug: version_count is now set on a shallow
copy, not the cached dict, preventing stale version_count leaking
into VLM responses
- i18n: all 9 locale files translated
Adds a 'Group by Model' toggle entry to the right-click global context
menu for quick access, complementing the existing setting in
Settings → Layout Settings. The menu item shows a checkmark indicator
reflecting the current state and immediately reloads the view on toggle.
Also fixes he.json translation that was mojibake (garbled characters).
Includes:
- Context menu HTML item with check-indicator
- JS toggle logic via settingsManager
- i18n for all 10 locales
- Hebrew translation fix
- Fix copy button on embedding cards to copy 'embedding:folder/name' format
- Add send-embedding-to-workflow for Prompt (LoraManager), Text (LoraManager),
and CLIPTextEncode nodes, appending embedding code to text content
- Extend workflow registry to register text-capable nodes by comfyClass
(not generic widget name 'text') to avoid false matches
- Add mode parameter to update_node_widget API/event for append support
- Fix single/bulk context menus: single shows plain 'Send to Workflow',
bulk collapses submenu into direct action for embeddings (append-only)
- Add local file reimport support via _do_reimport_from_local
- Validate source_path BEFORE deleting old recipe (prevent data loss)
- Move delete_recipe after save_recipe (safe ordering)
- Preserve folder location, NSFW level, and carry over user edits
- Remove old timestamp preservation (use current time)
- Add scrollTop reset in resetAndReloadWithVirtualScroll
- Only reload on successful bulk reimport (avoid empty grid)
- Disable preserveScroll for both single and bulk reimport
- Single recipe right-click menu: Re-import from Source
- Bulk context menu: Re-import Metadata for Selected
- Progress overlay with LoadingManager for single and bulk operations
- Virtual scroller data lookup (replaces fragile DOM querySelector)
- Fix dynamic import path for resetAndReload on recipe pages
- Add translation keys for all 9 supported languages
Bug: when scrolling down on recipes page, any operation with
preserveScroll: true would fetch only page 1 data then restore
scroll position to beyond the loaded items, leaving the grid empty.
Fix:
- Remove preserveScroll: true from all 7 must-refresh trigger
paths (filter, search, sort, import, settings reload, sync,
rebuild cache, sidebar folder nav)
- Replace full list refresh with updateSingleItem() for repair
and bulk missing-LoRA download operations
- Update tests to match new scroll-free behavior
Adds a new bulk operation in the recipes page that allows users to select
multiple recipes and repair their metadata in batch.
Backend:
- New POST /api/lm/recipes/repair-bulk endpoint accepting recipe_ids array
- repair_recipes_bulk handler iterates repair_recipe_by_id for each recipe
- Response includes per-recipe updated data for frontend card refresh
Frontend:
- Bulk context menu: new 'Repair Metadata for Selected' item in Metadata section
- BulkManager.repairSelectedRecipes() with loading/toast flow
- Uses VirtualScroller.updateSingleItem() per repaired recipe (no full reload)
- Visibility controlled via repairMetadata actionConfig flag
Locales:
- Added repairMetadata, repairBulkComplete, repairBulkSkipped, repairBulkFailed
- Translated across all 9 supported languages
Group 15 flat menu items into 5 logical sections (Workflow, Metadata,
Attributes, Organize, Download) with section headers to reduce cognitive
load. Nest the three workflow-related actions (Append, Replace, Copy
Syntax) into a single "Send to Workflow" hover-triggered submenu.
Add submenu infrastructure to BaseContextMenu with mouseover/mouseout
boundary detection, 250ms close delay, and viewport-aware positioning.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Allows downloading example images only for selected models instead of
the entire library. Reuses the existing /api/lm/force-download-example-images
endpoint which already accepts an array of model hashes.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Replaces two separate menu items with a single smart item that dynamically
switches between 'Set as Favorite' and 'Remove from Favorites' based on
whether all selected items are already favorited. Shows a count badge
'(3/5)' when only some items are favorited in a mixed selection.
Supports all model types (LoRA, Checkpoint, Embedding) and recipes via
existing per-item save/update API — no backend changes needed.
- Add 'Send to Workflow' menu item to checkpoint context menu (templates/checkpoints.html)
- Implement sendCheckpointToWorkflow() method in CheckpointContextMenu.js
- Use unified 'Model' terminology for toast messages instead of differentiating checkpoint/diffusion model
- Add translation keys: checkpoints.contextMenu.sendToWorkflow, uiHelpers.workflow.modelUpdated, modelFailed
- Complete translations for all 10 locales (en, zh-CN, zh-TW, ja, ko, de, fr, es, ru, he)
- Remove backward compatibility code for `model_type` in `ModelScanner._build_cache_entry()`
- Update `CheckpointScanner` to only handle `sub_type` in `adjust_metadata()` and `adjust_cached_entry()`
- Delete deprecated aliases `resolve_civitai_model_type` and `normalize_civitai_model_type` from `model_query.py`
- Update frontend components (`RecipeModal.js`, `ModelCard.js`, etc.) to use `sub_type` instead of `model_type`
- Update API response format to return only `sub_type`, removing `model_type` from service responses
- Revise technical documentation to mark Phase 5 as completed and remove outdated TODO items
All cleanup tasks for the model type refactoring are now complete, ensuring consistent use of `sub_type` across the codebase.
When force=true is passed via API, models in failed_models set are
re-downloaded instead of being skipped. On successful download, model is
removed from failed_models set.
This provides a manual batch repair mechanism for users when CivitAI
media server is temporarily down and causes empty folders.
Changes:
- Backend: Add force parameter to start_download(), _download_all_example_images(), _process_model()
- Backend: Skip failed_models check when force=true
- Backend: Remove model from failed_models on successful force retry
- Frontend: GlobalContextMenu now calls API with force=true directly
- Tests: Update mock to accept force parameter
- Add GET /api/lm/recipes/roots endpoint to retrieve recipe root directories
- Add POST /api/lm/recipe/move endpoint to move recipes between directories
- Register new endpoints in route definitions
- Implement error handling for both new endpoints with proper status codes
- Enable recipe management operations for better file organization
- Add `cardPath` parameter to `show` method in NsfwLevelSelector component
- Include `filePath` from card dataset when calling selector in ModelContextMenuMixin
- Clear `cardPath` from dataset when hiding selector to prevent stale data
This enables the NSFW level selector to access the file path context, which may be needed for backend operations when changing NSFW levels.
Add new POST endpoint `/api/lm/example-images/set-nsfw-level` to allow updating NSFW classification for individual example images. The endpoint supports both regular and custom images, validates required parameters, and updates the corresponding model metadata. This enables users to manually adjust NSFW ratings for better content filtering.
- Add disabled and loading states for control group buttons with appropriate cursor and opacity styling
- Enhance dropdown toggle active state styling for update filter group
- Improve dropdown toggle layout with flex centering
- Add disabled state styling for dropdown items
- Refactor model update check to use shared helper function, removing redundant success handling and simplifying error flow
- Maintain existing functionality while improving user experience and code maintainability
Will Miao