Merge branch 'feature/other-models-page': Other Models page (VAE/upscaler/text encoder management + CivitAI downloads)

This commit is contained in:
Will Miao
2026-09-12 16:41:09 +08:00
83 changed files with 5178 additions and 67 deletions
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@@ -166,7 +166,7 @@ The system runs in two modes:
### Model Types & Routes
- API endpoints follow `/loras/*`, `/checkpoints/*`, `/embeddings/*` patterns
- API endpoints follow `/loras/*`, `/checkpoints/*`, `/embeddings/*`, `/other/*` patterns
- Route registrars organize endpoints by domain: `ModelRouteRegistrar`, `RecipeRouteRegistrar`, etc.
- Request handlers in `py/routes/handlers/` implement route logic
- All routes use aiohttp, return `web.json_response` or `web.Response`
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# Plan: "Other Models" Page — Unified Management for VAE / Upscaler / Text Encoder / etc.
**Status:** v2 — **Phase 1 implemented** (2026-09-12, commits `27da7b3c` backend + `fa7ce725` frontend; verified live against a running ComfyUI instance: scan/hash/sub_type-derivation/fetch/previews all green). **Phase 2 implemented** (2026-09-12, per §9 design; full pytest + vitest green).
**Scope (Phase 1):** scan + manage (list, search, filter, tags, folders, preview, rename, move, delete/exclude, CivitAI metadata fetch) for a new model type `other`, exposed as a new web page. **Phase 2 (§9):** one-click download from CivitAI for these types.
## 1. Goal
Today the manager supports three model types:
| page | model_type | sub_types |
|---|---|---|
| `/loras` | `lora` | `lora`, `locon`, `dora` |
| `/checkpoints` | `checkpoint` | `checkpoint`, `diffusion_model` |
| `/embeddings` | `embedding` | `embedding` |
Add a fourth page that manages "everything else" — VAE, upscalers, text encoders / CLIP, CLIP vision, optionally ControlNet — with a folder→sub_type mapping table so new ComfyUI folder categories can be added later by configuration, not code.
## 2. Locked Decisions
1. **Architecture: one scanner + one service + one page, sub_type derived by location.**
Replicates the checkpoint pattern (`CheckpointScanner` aggregates `checkpoints` + `unet` roots and derives `checkpoint` vs `diffusion_model` from the root containing the file, `py/services/checkpoint_scanner.py:384-415`). One `OtherScanner` aggregates all enabled folder roots; `resolve_sub_type_for_path()` maps each root to a sub_type. No per-category scanners.
2. **Naming: internal `model_type = "other"`, route prefix `/other`, page id `other`.**
- `misc` is rejected: `py/routes/misc_routes.py` already owns that name for system/settings routes (`/api/lm/settings`, `/api/lm/doctor/*`).
- `components` is rejected: `templates/components/` and `static/js/components/` directories would make `components.html` / `components.js` confusing neighbors.
- `other` matches CivitAI's `Other` fallback type semantics. The **display name** is an i18n string (`other.title`, e.g. "Other Models") and can be renamed later without touching code.
3. **sub_type values:** snake_case, aligned with CivitAI `ModelType` semantics:
| sub_type | ComfyUI `folder_paths` key(s) | CivitAI ModelType | enabled by default |
|---|---|---|---|
| `vae` | `vae` | `VAE` | yes |
| `upscaler` | `upscale_models` | `Upscaler` | yes |
| `text_encoder` | `text_encoders`, `clip` (legacy) | `TextEncoder` (CLIP is retired upstream) | yes |
| `clip_vision` | `clip_vision` | `CLIPVision` | yes |
| `controlnet` | `controlnet` | `Controlnet` | no (mapping present, opt-in) |
New folder categories = one line in the mapping table (see §4.1).
4. **Phase 1 = scan/manage only.** Downloads from CivitAI (`download_manager.py` type mapping, default-root settings keys, download routing) are Phase 2 (§9). CivitAI **metadata fetch** for existing files IS in Phase 1 (hash-based lookup is type-agnostic; only the type-validation hook needs new values).
5. **Out of scope (default off, revisit later):** usage statistics buckets, recipe matching (`recipe_scanner.py` only merges lora+checkpoint scanners), statistics page, embeddings re-classification (stays its own page — merging would be a breaking change).
## 3. Why This Works With Minimal Churn
- `ModelScanner` (`py/services/model_scanner.py:93`) is specialized entirely via constructor params (`model_type`, `model_class`, `file_extensions`) + optional hooks (`adjust_metadata`, `adjust_cached_entry`, `resolve_sub_type_for_path`, `model_scanner.py:1429-1443`).
- `BaseModelService` subclasses can be one method (`EmbeddingService` implements only `format_response`, `py/services/embedding_service.py:12`).
- Routes: `ModelServiceFactory.register_model_type()` (`py/services/model_service_factory.py:120-136`) + `COMMON_ROUTE_DEFINITIONS` (`py/routes/model_route_registrar.py:23-149`) generate the full `/api/lm/{prefix}/*` surface (~50 endpoints) plus the `GET /{prefix}` page route.
- `PersistentModelCache` (`py/services/persistent_model_cache.py:526-606`) is a single `models` table keyed `(model_type, file_path)` with `model_type` as free text — **zero schema change**.
- Frontend `apiConfig.js` (`static/js/api/apiConfig.js:51`) generates all endpoints from the model-type string; `ModelCard.js:670-675` renders the sub_type badge from data; the checkpoints page already demonstrates the "one page, multiple sub_types" filter (`header.html:298`).
## 4. Backend Changes
### 4.1 New constants — `py/utils/constants.py`
```python
# folder_paths key -> sub_type; single source of truth for extensibility
OTHER_MODEL_FOLDER_SUBTYPES = {
"vae": "vae",
"upscale_models": "upscaler",
"text_encoders": "text_encoder",
"clip": "text_encoder", # legacy ComfyUI key
"clip_vision": "clip_vision",
"controlnet": "controlnet",
}
DEFAULT_OTHER_MODEL_FOLDERS = ("vae", "upscale_models", "text_encoders", "clip", "clip_vision")
VALID_OTHER_SUB_TYPES = ["vae", "upscaler", "text_encoder", "clip_vision", "controlnet"]
# CivitAI model.type values accepted for this page (fetch-metadata validation)
VALID_OTHER_CIVITAI_TYPES = {"vae", "upscaler", "textencoder", "clipvision", "controlnet", "other"}
```
Also extend `CIVITAI_USER_MODEL_TYPES` (`constants.py:90`) if user-model queries should include these types.
### 4.2 New files (mirror the embedding/checkpoint implementations)
1. **`py/utils/models.py`** — add `OtherModelMetadata(BaseModelMetadata)`: default `sub_type="vae"` placeholder overridden by scanner hook; `from_civitai_info` mapping CivitAI types → our sub_types (`TextEncoder``text_encoder`, `CLIPVision``clip_vision`, `Upscaler``upscaler`, `VAE``vae`, `Controlnet``controlnet`, else `other`-ish fallback to folder-derived sub_type).
2. **`py/services/other_scanner.py`** — `OtherScanner(ModelScanner)`:
- `model_type="other"`, extensions: reuse the checkpoint set (`safetensors/pt/pt2/bin/pth/pkl/sft/gguf`).
- `get_model_roots()`: iterate `OTHER_MODEL_FOLDER_SUBTYPES` ∩ enabled keys, pull each from `config` (§4.3); dedupe; build `root → sub_type` map (normalized abspaths; multiple keys may share a sub_type).
- Implement all three hooks like `CheckpointScanner` (`checkpoint_scanner.py:384-415`): `resolve_sub_type_for_path` by longest-prefix root match, `adjust_metadata`, `adjust_cached_entry` (sub_type is re-derived on cache load, never persisted).
- **Lazy hashing, checkpoint-style**: text encoders (T5-XXL ≈ 10 GB) make eager sha256 painful. Copy the `hash_status="pending"` + singleflight `calculate_hash_for_model` pattern from `CheckpointScanner`.
3. **`py/services/other_model_service.py`** — `OtherModelService(BaseModelService)`, `format_response` only (no usage_count, like `EmbeddingService`).
4. **`py/routes/other_routes.py`** — `OtherRoutes(BaseModelRoutes)`, `template_name="other.html"`, hooks:
- `_validate_civitai_model_type``VALID_OTHER_CIVITAI_TYPES`
- `_get_expected_model_types`, `_parse_specific_params` (no type-specific download params in Phase 1)
- `initialize_services()` on `app.on_startup` pulling `ServiceRegistry.get_other_scanner()`.
### 4.3 `py/config.py`
- New `other_roots` property: for each enabled key in `OTHER_MODEL_FOLDER_SUBTYPES`, `folder_paths.get_folder_paths(key)` (plugin mode) — standalone mode needs nothing new: `MockFolderPaths` (`standalone.py:66-105`) already serves arbitrary keys from `settings.json.folder_paths`.
- Follow the existing per-type recipe: an `_prepare_other_paths()` (dedupe + symlink registration; also **cross-scanner overlap detection** — warn if an `other` root is already covered by checkpoints/unet/embedding roots, mirroring the checkpoint/unet overlap check).
- Wire into: `_apply_library_paths`, `_symlink_roots()`, `_rebuild_preview_roots()` (hard requirement — preview images are served per registered root), `save_folder_paths_to_settings()`.
### 4.4 Existing-file edits (the "type string scatter" — each is a small branch/entry)
| file | change |
|---|---|
| `py/services/model_service_factory.py:120` | register `("other", OtherModelService, OtherRoutes)` in `register_default_model_types()` |
| `py/services/service_registry.py` | add `get_other_scanner()` (mirror `:297` `get_embedding_scanner`) |
| `py/services/model_scanner.py:67` | `PAGE_TYPE_MAP['other'] = 'other'` (WebSocket progress) |
| `py/services/base_model_service.py:896-906` | `get_model_types()` branch → `VALID_OTHER_SUB_TYPES` |
| `py/lora_manager.py` | `_initialize_services` scanner task list (`:219-242`), `_cleanup` cancel list (`:463`), `_cleanup_backup_files` roots (`:327-330`) |
| `py/routes/handlers/misc_handlers.py` | `scanner_getters` (`:657-661`) + `scanner_factories` (`:757-759`) so Doctor / init-status / refresh-all see the new scanner |
| `py/services/pending_delete_service.py` | `_PAGE_TYPE` map (`:57-61`) + scanner getter list (`:983-985`) |
| `py/metadata_ops/__init__.py:36-38` | `SCANNER_TYPE_MAP['other']` |
| `settings.json.example` | document optional `folder_paths` keys: `vae`, `upscale_models`, `text_encoders`, `clip_vision` |
**Explicitly NOT touched in Phase 1:** `py/services/download_manager.py`, `py/services/download_routing.py`, `py/services/settings_manager.py` default-root keys, `py/routes/stats_routes.py`, `py/utils/usage_stats.py`, `py/services/recipe_scanner.py`, `py/metadata_collector/`, `py/nodes/`.
**Zero-change confirmations (verified):** `PersistentModelCache`, `ModelUpdateService`, `DownloadedVersionHistoryService`, `MetadataSyncService` + provider chain (type-agnostic hash lookups), `ModelFileService` / `ModelMoveService` / `ModelLifecycleService` (scanner + model_type injected), `ModelCache` / `ModelHashIndex`, `AutoV3BackfillService`.
## 5. Frontend Changes
1. **`static/js/api/apiConfig.js`** — `MODEL_TYPES.OTHER = 'other'`; `MODEL_CONFIG.other` entry (displayName, singularName, `supportsMove`, `supportsBulkOperations`; no letter filter); endpoints come free from `getApiEndpoints()` (`:51`).
2. **`static/js/api/otherApi.js`** — thin `OtherApiClient extends BaseModelApiClient` (mirror `embeddingApi.js`); register in `modelApiFactory.js`.
3. **`static/js/other.js`** — page entry (mirror `embeddings.js`): `appCore.initialize()` + `createPageControls('other')` + `initializePageFeatures()` + `ModelDuplicatesManager` + `initActiveFiltersSync('other')`.
4. **Controls & context menu**`OtherControls extends PageControls` and `OtherContextMenu` (start from the embedding variants — the smallest); add branches in the two factories (`components/controls/index.js:15`, `components/ContextMenu/index.js:15`). Context-menu template block lives in `templates/other.html` (`{% block additional_components %}`, the checkpoints/embeddings pattern — do NOT touch the shared `context_menu.html`).
5. **`templates/other.html`** — copy `embeddings.html`: same content blocks (controls + breadcrumb + duplicates banner + folder sidebar + `#modelGrid`), `data-page="other"`, main script `/loras_static/js/other.js`.
6. **`templates/components/header.html`** — nav entry (`:23-43`, active when `request.path.startswith('/other')`); enable the `modelTypes` sub_type filter panel for `other` (`:298-305` pattern from checkpoints); check search-options panel conditions (`:199-224`).
7. **`static/js/utils/constants.js`** — `MODEL_SUBTYPE_ABBREVIATIONS` (`:115`): `vae→VAE`, `upscaler→UPS`, `text_encoder→TE`, `clip_vision→CV`, `controlnet→CN`; matching `MODEL_SUBTYPE_DISPLAY_NAMES` (`:99`). (Unknown fallback already uppercases 4 chars, but explicit mappings read better.)
8. **`static/js/core.js:110` `getPageType()`** — verify `data-page="other"` flows through `state.pages` generically; add only if the page list is enumerated anywhere.
9. No change to `web/comfyui/top_menu_extension.js` (it opens `/loras`; page-to-page nav is the header bar).
## 6. i18n
- `locales/en.json`: add `other.title` (e.g. "Other Models") + minimal `other.contextMenu.*` / `other.modelTypes.*` keys; reuse `modelCard.*`, `loras.contextMenu.*`, `common.*` wherever possible (the established pattern — checkpoints/embeddings already reuse lora keys).
- Run `python scripts/sync_translation_keys.py`; leave `[TODO: Translate]` placeholders in other locales (per `docs/i18n-translation-guidelines.md` §7 — do not translate proactively).
## 7. Testing
Follow existing conventions (`pytest.ini`, `tests/frontend/` vitest):
1. **Backend (pytest, async where needed):**
- `OtherScanner` root aggregation + `resolve_sub_type_for_path` (file under `vae/` root → `vae`; `text_encoders` and legacy `clip` both → `text_encoder`; disabled `controlnet` root not scanned).
- Cache round-trip: sub_type re-derived via `adjust_cached_entry` (not persisted).
- Lazy hash: `hash_status="pending"` default; `calculate_hash_for_model` singleflight.
- `OtherRoutes` registration smoke test: `/api/lm/other/...` endpoints exist; `_validate_civitai_model_type` accepts `vae`/`upscaler`/`textencoder`, rejects `lora`.
- Config: `other_roots` in both modes (mock `folder_paths`, and standalone `settings.json.folder_paths`).
2. **Frontend (vitest + jsdom, `tests/frontend/`):**
- `apiConfig`: `getApiEndpoints('other')` URL shapes; `modelApiFactory` returns the Other client.
- `ModelCard` badge rendering for new sub_types.
- `createPageControls('other')` / `createPageContextMenu('other')` factories.
3. **Manual UI verification by the user** (per AGENTS.md — no sandbox/browser automation): page loads, scans a real library, sub_type filter + badges, context menu actions.
## 8. Execution Order
1. `constants.py` + `OtherModelMetadata` + `config.py` roots
2. `OtherScanner` (+ registry, factory, `PAGE_TYPE_MAP`) → scanner unit tests green
3. `OtherModelService` + `OtherRoutes` + handler/registrar wiring + `lora_manager.py` lifecycle → route tests green
4. Doctor/pending-delete/metadata-ops scatter entries
5. Template + header nav + frontend API/controls/context-menu/card badges → vitest green
6. i18n keys + sync script
7. `pytest` + `npm test` full runs; hand to user for manual UI check
## 9. Phase 2 Detailed Design — CivitAI Downloads for `other`
Designed 2026-09-12 against the Phase-1 code on this branch; decisions marked **[locked]** follow the same recommendations the feature owner approved for Phase 1.
### 9.1 Download pipeline touch points
Flow: `POST /api/lm/download-model` (`py/routes/model_route_registrar.py:104`; GET variant `:105` for the browser extension) → `ModelDownloadHandler.download_model` (`model_handlers.py:1740`) → `DownloadModelUseCase.execute``DownloadCoordinator.schedule_download``DownloadManager.download_from_civitai` (`download_manager.py:386`) → `_execute_original_download` (`:1415`). Inside, seven scatter points need an `other` branch:
1. **Type map** (`:1496-1507`): accept `model.type.lower() in VALID_OTHER_CIVITAI_TYPES``model_type = "other"` (reuses the Phase-1 set, incl. `"other"` itself).
2. **Early version-exists gate** (`:1436-1463`): add `other_scanner.check_model_version_exists`.
3. **File-level exists gate** (`:1640-1655``_find_local_file_entry` `:320-346``_get_scanner_for_model_type` `:230-236`): add explicit `other` branch. **Trap**: the function currently falls through to the lora scanner for unknown types — `"other"` would silently dedupe against loras. Also narrow the fall-through to `"lora"` only / raise on unknown.
4. **Version-level fallback gate** (`:1656-1688`): add `elif model_type == "other"`.
5. **Default-root selection** (`:1690-1727`): for `other`, first resolve sub_type (§9.2), then read `default_other_roots[sub_type]` (§9.3); if sub_type is undecidable or no default root configured → error guiding the user to pick a folder explicitly.
6. **Metadata class selection** (`:1909-1928`) + `_build_metadata_for_resume` (`:969-981`): add `OtherModelMetadata.from_civitai_info` branches.
7. **Post-download cache write** (`_execute_download_pipeline` `:2622-2679`): add `other` scanner branch; `adjust_metadata` re-derives sub_type from the on-disk root automatically. `_get_supported_extensions_for_type` (`:2720-2744`): `other` reuses the checkpoint extension set.
Hooks: `_record_downloaded_version_history` (model_type is free text — zero change); `_sync_downloaded_version` (`:1984` → scanner dispatch `:2130-2135`) add `other`; `py/utils/example_images_download_manager.py` scanner dispatch at `:411-421`, `:591-601`, `:1089+` — add `other` at all three (silent no-scanner otherwise).
Path templates: `get_download_path_template("other")` already falls back to `"{base_model}/{first_tag}"` — works with zero change; optional settings-UI row (§9.4).
### 9.2 File-level routing (model.type / file.type → sub_type) **[locked]**
Table-driven, mirroring Phase 1. New in `py/utils/constants.py`:
```python
CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE = {
"VAE": "vae", "Upscaler": "upscaler", "Text Encoder": "text_encoder",
"Vision Encoder": "clip_vision", "CLIPVision": "clip_vision",
"ControlNet": "controlnet",
}
```
`download_routing.py` gains `resolve_other_download_sub_type(civitai_model_type, file_types, selected_file_type=None)` with fixed priority:
1. **Explicit user file pick** (`file_params` from #1058's `_resolve_target_file`) — if the picked file's type maps, it wins even when model.type is `Checkpoint`.
2. **model.type** via the existing `CIVITAI_TYPE_TO_OTHER_SUB_TYPE` (`constants.py:120-127`).
3. **file.type fallback** — only when model.type maps to nothing (e.g. model.type `Other` or retired `CLIP`). MUST NOT override a mapped model.type: checkpoint models routinely bundle VAE/Text Encoder component files, and unconditional file-type routing would misroute them.
4. Still undecidable → `None`; `use_default_paths` errors and the UI offers all other roots for manual selection.
HTTP: extend `DownloadRoutingHandler.get_download_routing` (`download_routing_handlers.py:23`) with an `other` branch returning `{root_kind: "other", sub_type: ...}`; add `GET /api/lm/other/roots_by_subtype` in `OtherRoutes.setup_specific_routes` (data from `config._prepare_other_paths`'s per-key roots, aggregating `text_encoders` + legacy `clip` under `text_encoder`).
### 9.3 Settings: single dict key `default_other_roots` **[locked]**
Rejected: four flat keys (`default_vae_root`…) — each flat key costs ~13 touch points in `settings_manager.py` (defaults `:82-85`, `_check_and_auto_set` `:890-895`, `set()` `:1621-1628`, `_update_active_library_entry` `:738-805`, upsert/create signatures `:1953-2132`, `_build_library_payload` `:552-612`, `_sync_active_library_to_root` `:519-547`, three library constructors, frontend `DEFAULT_SETTINGS_BASE`), repeated per future sub_type.
Chosen: one mapping key `default_other_roots: {sub_type: path}`, copying the `extra_folder_paths` precedent (generic Mapping handling at `:533-535`, `:573-578`, `:763-767`). `_check_and_auto_set` generalizes to per-sub_type candidates (union over that sub_type's folder keys — `text_encoder``text_encoders` + `clip`). `set()` validates keys against `VALID_OTHER_SUB_TYPES`.
Also fix the Phase-1 omission: add `"other_scanner"` to `_notify_library_change` (`:2150-2156`) and `_notify_model_name_display_change` (`:1795-1800`) — otherwise switching libraries leaves the other page stale.
### 9.4 Settings UI
- `templates/components/modals/settings/library.html:34-40`: sub_type selectors after the existing four `setting_select`s (Jinja loop; controlnet selector only when `enabled_other_folders` includes it). Dict-subkey save helper `saveOtherRootSetting(subType, value)` alongside the flat `saveSelectSetting`.
- `static/js/managers/SettingsManager.js:1547-1697`: `loadOtherRoots()` mirroring `loadUnetRoots()`, fed by `/api/lm/other/roots_by_subtype`; current values from `state.global.settings.default_other_roots`. `state/index.js:24` `DEFAULT_SETTINGS_BASE` += `default_other_roots: {}`.
- Optional: one `other` row in the download-path-template block (`library.html:153-211`).
- i18n: `settings.folderSettings.*` keys into `locales/en.json` + sync script; other locales keep `[TODO: Translate]`.
- Settings GET (`misc_handlers.py:1528-1536`) already returns all non-sensitive keys — new key reaches the frontend for free.
### 9.5 Frontend download entry
- `templates/components/controls.html:83`: drop the `page_id != 'other'` exclusion on the download button (keyboard shortcut D self-enables via `PageControls.js:196-198`).
- `OtherControls.js:22-55`: add `showDownloadModal: () => downloadManager.showDownloadModal()` (mirror `EmbeddingsControls.js:43-45`).
- `DownloadManager.js` `proceedToLocationContent` (`:955-1017`): add `_resolveOtherSubType()` (mirror `_resolveIsDiffusionModel` `:1026`): selected file type → `/api/lm/download/routing``otherApiClient.fetchModelRoots(subType)` (new); default-root preselect reads `default_other_roots[subType]` instead of `` `default_${singularType}_root` `` (`:974`). Undecidable → list all other roots (`/api/lm/other/roots`) for manual pick; an explicit save_dir skips backend default-root logic, so the two paths cannot disagree.
- `ModelVersionsTab` download buttons are modelType-generic and already work via `getModelApiClient('other')`; context menu has no CivitAI download entry — no change.
- Version-list type validation (`get_civitai_versions``_validate_civitai_model_type`) already accepts `VALID_OTHER_CIVITAI_TYPES` from Phase 1.
### 9.6 CivitAI type mapping decisions **[locked]**
- Download accepts exactly `VALID_OTHER_CIVITAI_TYPES` (`VAE, Upscaler, TextEncoder, CLIP, CLIPVision, Controlnet, Other`) — reuse the Phase-1 tables; do NOT create new ones.
- Extend `CIVITAI_USER_MODEL_TYPES` (`constants.py:133-137`) with the 7 aliases, and point them at the other scanner / `"other"` history bucket in `misc_handlers.py` (`type_scanner_map` `:2793-2797`, `downloaded_version_map` `:2821-2827`) — otherwise creator pages silently filter these models while downloads claim support.
- Fix (small Phase-1 bug): `OtherModelMetadata.from_civitai_info` (`py/utils/models.py:343`) reads `version_info.get("type")`, but the type lives at `version["model"]["type"]` — the mapping never fires and always degrades to the placeholder. Read `version_info.get("model", {}).get("type")` instead. (`CheckpointMetadata:290` has the same shape; leave it alone here.)
### 9.7 Tests
Existing base: `tests/services/test_download_manager_basic.py` (incl. `test_download_rejects_unsupported_model_type` `:1336`), `test_download_manager_error.py`, `test_download_manager_concurrent.py`, `tests/integration/test_download_flow.py`, `tests/services/test_settings_manager.py`; frontend `tests/frontend/managers/downloadManager.routing.test.js`, `settingsManager.library.test.js`.
Add: (1) `resolve_other_download_sub_type` unit tests — every priority tier, bundled-component anti-misrouting, undecidable → None, civarchive-shaped payload; (2) download_manager — six model.types accepted → other scanner (mock), unknown still rejected, no lora-scanner fall-through, per-sub_type default roots + unconfigured error, resume metadata, extension set; (3) settings_manager — `default_other_roots` defaults/auto-set (incl. text_encoder dual-key union)/library sync/upsert passthrough/illegal sub_type rejection; (4) routes — `/api/lm/download/routing` other branch, `roots_by_subtype` shape; (5) example-images dispatch accepts `other` (3 sites); (6) vitest — `_resolveOtherSubType` + root select + default preselect, `loadOtherRoots`; (7) user-models existsLocally for VAE.
### 9.8 Phase 2 file list
Backend: `py/utils/constants.py`, `py/services/download_routing.py`, `py/routes/handlers/download_routing_handlers.py`, `py/services/download_manager.py`, `py/utils/example_images_download_manager.py`, `py/services/settings_manager.py`, `py/utils/models.py`, `py/routes/other_routes.py`, `py/routes/handlers/misc_handlers.py`, `settings.json.example`.
Frontend/templates: `templates/components/controls.html`, `static/js/components/controls/OtherControls.js`, `static/js/managers/DownloadManager.js`, `static/js/api/otherApi.js`, `templates/components/modals/settings/library.html`, `static/js/managers/SettingsManager.js`, `static/js/state/index.js`, `locales/en.json` + sync.
## 10. Risks / Open Questions
- **Root overlap**: a user may point `text_encoders` at a directory already scanned as checkpoints/unet. Realpath dedup inside one scanner won't catch cross-scanner overlap → the `_prepare_other_paths` overlap warning (§4.3) is the mitigation; duplicate cards across pages are cosmetic, not corrupting (cache keyed by `(model_type, file_path)`).
- **Huge text encoders + lazy hash**: CivitAI fetch for a pending-hash model must trigger on-demand hash like checkpoints do — verify that flow (`calculate_hash_for_model`) is reachable from the `other` routes' fetch-metadata handler.
- **Retired CivitAI types**: `CLIP`/`CLIPVision` are retired upstream (grandfathered for existing models); metadata fetch must tolerate both retired and current types — `VALID_OTHER_CIVITAI_TYPES` includes them deliberately.
- **Standalone users** must add the new `folder_paths` keys to `settings.json` themselves; document in `settings.json.example` and the feature doc.
- **Page display name** is i18n-only; if "Other Models" tests poorly, rename `other.title` without code changes.
### Phase 2 risks
- **Bundled component files**: checkpoint models routinely ship VAE/Text Encoder component files — file.type routing must stay a fallback (or explicit user pick), never an override (§9.2 priority is load-bearing; test it).
- **`_get_scanner_for_model_type` lora fall-through** (`download_manager.py:236`): without an explicit `other` branch, dedupe checks run against the lora scanner — the most insidious trap in Phase 2.
- **text_encoder dual folder keys** (`text_encoders` + legacy `clip`): default-root candidates, `roots_by_subtype`, and auto-set must all merge both keys; miss one and the default-root dropdown comes up empty.
- **Undecidable sub_type** (model.type `Other` + unknown file types): must error and ask, never silently default to the vae folder.
- **Lazy hash after download**: downloads carry CivitAI SHA256 (no recompute needed) — ensure the post-download cache write doesn't leave `hash_status="pending"`, or the next metadata fetch re-hashes a 10 GB file.
- **CivArchive source**: same `_execute_original_download` path, same payload shape — cover it once in tests.
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Checkpoint-Name kopieren",
"copyEmbeddingName": "Embedding-Name kopieren",
"embeddingNameCopied": "Embedding-Syntax kopiert",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "An ComfyUI senden",
"sendEmbeddingToWorkflow": "An ComfyUI senden"
},
@@ -233,6 +234,7 @@
"recipes": "Rezepte",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "[TODO: Translate] Other",
"statistics": "Statistiken"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "Legen Sie den Standard-Diffusion-Modell-(UNET)-Stammordner für Downloads, Importe und Verschiebungen fest",
"defaultEmbeddingRoot": "Embedding-Stammordner",
"defaultEmbeddingRootHelp": "Legen Sie den Standard-Embedding-Stammordner für Downloads, Importe und Verschiebungen fest",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "Rezepte-Speicherpfad",
"recipesPathHelp": "Optionales benutzerdefiniertes Verzeichnis für gespeicherte Rezepte. Leer lassen, um den recipes-Ordner im ersten LoRA-Stammverzeichnis zu verwenden.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embedding-Modelle"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "Stammverzeichnis",
"collapseAll": "Alle Ordner einklappen",
@@ -1878,6 +1893,10 @@
"title": "Embedding Manager wird initialisiert",
"message": "Embedding-Cache wird gescannt und aufgebaut. Dies kann einige Minuten dauern..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "Rezept Manager wird initialisiert",
"message": "Rezepte werden geladen und verarbeitet. Dies kann einige Minuten dauern..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Fehler beim Laden der Checkpoint-Stammverzeichnisse: {message}",
"unetRootsFailed": "Fehler beim Laden der Diffusion-Modell-Stammverzeichnisse: {message}",
"embeddingRootsFailed": "Fehler beim Laden der Embedding-Stammverzeichnisse: {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "Basismodell-Pfad-Zuordnungen aktualisiert ({count})",
"mappingsCleared": "Basismodell-Pfad-Zuordnungen gelöscht",
"mappingSaveFailed": "Fehler beim Speichern der Basismodell-Zuordnungen: {message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Copy checkpoint name",
"copyEmbeddingName": "Copy embedding name",
"embeddingNameCopied": "Embedding syntax copied",
"modelNameCopied": "Model name copied",
"sendCheckpointToWorkflow": "Send to ComfyUI",
"sendEmbeddingToWorkflow": "Send to ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "Recipes",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "Other",
"statistics": "Stats"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "Set default diffusion model (UNET) root directory for downloads, imports and moves",
"defaultEmbeddingRoot": "Embedding Root",
"defaultEmbeddingRootHelp": "Set default embedding root directory for downloads, imports and moves",
"defaultVaeRoot": "VAE Root",
"defaultVaeRootHelp": "Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "Upscaler Root",
"defaultUpscalerRootHelp": "Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "Text Encoder Root",
"defaultTextEncoderRootHelp": "Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "CLIP Vision Root",
"defaultClipVisionRootHelp": "Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "ControlNet Root",
"defaultControlnetRootHelp": "Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "Recipes Storage Path",
"recipesPathHelp": "Optional custom directory for stored recipes. Leave empty to use the first LoRA root's recipes folder.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embedding Models"
},
"other": {
"title": "Other Models"
},
"sidebar": {
"modelRoot": "Root",
"collapseAll": "Collapse All Folders",
@@ -1878,6 +1893,10 @@
"title": "Initializing Embedding Manager",
"message": "Scanning and building embedding cache. This may take a few minutes..."
},
"other": {
"title": "Initializing Other Models Manager",
"message": "Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "Initializing Recipe Manager",
"message": "Loading and processing recipes. This may take a few minutes..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Failed to load checkpoint roots: {message}",
"unetRootsFailed": "Failed to load diffusion model roots: {message}",
"embeddingRootsFailed": "Failed to load embedding roots: {message}",
"otherRootsFailed": "Failed to load other model roots: {message}",
"mappingsUpdated": "Base model path mappings updated ({count} mapping{plural})",
"mappingsCleared": "Base model path mappings cleared",
"mappingSaveFailed": "Failed to save base model mappings: {message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Copiar nombre del checkpoint",
"copyEmbeddingName": "Copiar nombre del embedding",
"embeddingNameCopied": "Sintaxis de embedding copiada",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "Enviar a ComfyUI",
"sendEmbeddingToWorkflow": "Enviar a ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "Recetas",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "[TODO: Translate] Other",
"statistics": "Estadísticas"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "Establecer el directorio raíz predeterminado de Diffusion Model (UNET) para descargas, importaciones y movimientos",
"defaultEmbeddingRoot": "Raíz de embedding",
"defaultEmbeddingRootHelp": "Establecer el directorio raíz predeterminado de embedding para descargas, importaciones y movimientos",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "Ruta de almacenamiento de recetas",
"recipesPathHelp": "Directorio personalizado opcional para las recetas guardadas. Déjalo vacío para usar la carpeta recipes del primer directorio raíz de LoRA.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Modelos embedding"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "Raíz",
"collapseAll": "Colapsar todas las carpetas",
@@ -1878,6 +1893,10 @@
"title": "Inicializando gestor de embedding",
"message": "Escaneando y construyendo caché de embedding. Esto puede tomar unos minutos..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "Inicializando gestor de recetas",
"message": "Cargando y procesando recetas. Esto puede tomar unos minutos..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Error al cargar raíces de checkpoint: {message}",
"unetRootsFailed": "Error al cargar raíces de Diffusion Model: {message}",
"embeddingRootsFailed": "Error al cargar raíces de embedding: {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "Mapeos de rutas de modelo base actualizados ({count} mapeo{plural})",
"mappingsCleared": "Mapeos de rutas de modelo base limpiados",
"mappingSaveFailed": "Error al guardar mapeos de modelo base: {message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Copier le nom du checkpoint",
"copyEmbeddingName": "Copier le nom de l'embedding",
"embeddingNameCopied": "Syntaxe dembedding copiée",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "Envoyer vers ComfyUI",
"sendEmbeddingToWorkflow": "Envoyer vers ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "Recipes",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "[TODO: Translate] Other",
"statistics": "Statistiques"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "Définir le répertoire racine Diffusion Model (UNET) par défaut pour les téléchargements, imports et déplacements",
"defaultEmbeddingRoot": "Racine Embedding",
"defaultEmbeddingRootHelp": "Définir le répertoire racine embedding par défaut pour les téléchargements, imports et déplacements",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "Chemin de stockage des Recipes",
"recipesPathHelp": "Dossier personnalisé facultatif pour les Recipes enregistrées. Laissez vide pour utiliser le dossier recipes de la première racine LoRA.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Modèles Embedding"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "Racine",
"collapseAll": "Réduire tous les dossiers",
@@ -1878,6 +1893,10 @@
"title": "Initialisation du gestionnaire Embedding",
"message": "Scan et construction du cache embedding. Cela peut prendre quelques minutes..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "Initialisation du gestionnaire de recipes",
"message": "Chargement et traitement des recipes. Cela peut prendre quelques minutes..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Échec du chargement des racines checkpoint : {message}",
"unetRootsFailed": "Échec du chargement des racines Diffusion Model : {message}",
"embeddingRootsFailed": "Échec du chargement des racines embedding : {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "Mappages de chemin de modèle de base mis à jour ({count} mappage{plural})",
"mappingsCleared": "Mappages de chemin de modèle de base effacés",
"mappingSaveFailed": "Échec de la sauvegarde des mappages de modèle de base : {message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "העתק שם Checkpoint",
"copyEmbeddingName": "העתק שם Embedding",
"embeddingNameCopied": "תחביר Embedding הועתק",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "שלח ל-ComfyUI",
"sendEmbeddingToWorkflow": "שלח ל-ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "מתכונים",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "[TODO: Translate] Other",
"statistics": "סטטיסטיקה"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של Diffusion Model (UNET) להורדות, ייבוא והעברות",
"defaultEmbeddingRoot": "תיקיית שורש Embedding",
"defaultEmbeddingRootHelp": "הגדר את ספריית השורש המוגדרת כברירת מחדל של embedding להורדות, ייבוא והעברות",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "נתיב אחסון מתכונים",
"recipesPathHelp": "ספרייה מותאמת אישית אופציונלית למתכונים שנשמרו. השאר ריק כדי להשתמש בתיקיית recipes של שורש LoRA הראשון.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "מודלי Embedding"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "שורש",
"collapseAll": "כווץ את כל התיקיות",
@@ -1878,6 +1893,10 @@
"title": "מאתחל מנהל Embedding",
"message": "סורק ובונה מטמון embedding. זה עשוי לקחת מספר דקות..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "מאתחל מנהל מתכונים",
"message": "טוען ומעבד מתכונים. זה עשוי לקחת מספר דקות..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "טעינת שורשי checkpoint נכשלה: {message}",
"unetRootsFailed": "טעינת שורשי Diffusion Model נכשלה: {message}",
"embeddingRootsFailed": "טעינת שורשי embedding נכשלה: {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "מיפויי נתיבי מודל בסיס עודכנו ({count})",
"mappingsCleared": "מיפויי נתיבי מודל בסיס נוקו",
"mappingSaveFailed": "שמירת מיפויי מודל בסיס נכשלה: {message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Checkpoint名をコピー",
"copyEmbeddingName": "embedding名をコピー",
"embeddingNameCopied": "Embedding構文をコピーしました",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "ComfyUIに送信",
"sendEmbeddingToWorkflow": "ComfyUIに送信"
},
@@ -233,6 +234,7 @@
"recipes": "レシピ",
"checkpoints": "Checkpoint",
"embeddings": "Embedding",
"other": "[TODO: Translate] Other",
"statistics": "統計"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "ダウンロード、インポート、移動用のデフォルトDiffusion Model (UNET)ルートディレクトリを設定",
"defaultEmbeddingRoot": "Embeddingルート",
"defaultEmbeddingRootHelp": "ダウンロード、インポート、移動用のデフォルトembeddingルートディレクトリを設定",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "レシピ保存先",
"recipesPathHelp": "保存済みレシピ用の任意のカスタムディレクトリです。空欄にすると最初のLoRAルートのrecipesフォルダーを使用します。",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embeddingモデル"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "ルート",
"collapseAll": "すべてのフォルダを折りたたむ",
@@ -1878,6 +1893,10 @@
"title": "Embedding Managerを初期化中",
"message": "embeddingキャッシュをスキャンして構築中。数分かかる場合があります..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "レシピマネージャーを初期化中",
"message": "レシピを読み込んで処理中。数分かかる場合があります..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Checkpointルートの読み込みに失敗しました:{message}",
"unetRootsFailed": "Diffusion Modelルートの読み込みに失敗しました:{message}",
"embeddingRootsFailed": "embeddingルートの読み込みに失敗しました:{message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "ベースモデルパスマッピングが更新されました({count} マッピング)",
"mappingsCleared": "ベースモデルパスマッピングがクリアされました",
"mappingSaveFailed": "ベースモデルマッピングの保存に失敗しました:{message}",
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@@ -149,6 +149,7 @@
"copyCheckpointName": "Checkpoint 이름 복사",
"copyEmbeddingName": "Embedding 이름 복사",
"embeddingNameCopied": "Embedding 구문 복사됨",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "ComfyUI로 전송",
"sendEmbeddingToWorkflow": "ComfyUI로 전송"
},
@@ -233,6 +234,7 @@
"recipes": "레시피",
"checkpoints": "Checkpoint",
"embeddings": "Embedding",
"other": "[TODO: Translate] Other",
"statistics": "통계"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Diffusion Model (UNET) 루트 디렉토리를 설정합니다",
"defaultEmbeddingRoot": "Embedding 루트",
"defaultEmbeddingRootHelp": "다운로드, 가져오기 및 이동을 위한 기본 Embedding 루트 디렉토리를 설정합니다",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "레시피 저장 경로",
"recipesPathHelp": "저장된 레시피를 위한 선택적 사용자 지정 디렉터리입니다. 비워 두면 첫 번째 LoRA 루트의 recipes 폴더를 사용합니다.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embedding 모델"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "루트",
"collapseAll": "모든 폴더 접기",
@@ -1878,6 +1893,10 @@
"title": "Embedding Manager 초기화 중",
"message": "Embedding 캐시를 스캔하고 구축하고 있습니다. 몇 분이 걸릴 수 있습니다..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "레시피 매니저 초기화 중",
"message": "레시피를 로딩하고 처리하고 있습니다. 몇 분이 걸릴 수 있습니다..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Checkpoint 루트 로딩 실패: {message}",
"unetRootsFailed": "Diffusion Model 루트 로딩 실패: {message}",
"embeddingRootsFailed": "Embedding 루트 로딩 실패: {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "베이스 모델 경로 매핑이 업데이트되었습니다 ({count}개 매핑)",
"mappingsCleared": "베이스 모델 경로 매핑이 지워졌습니다",
"mappingSaveFailed": "베이스 모델 매핑 저장 실패: {message}",
+20
View File
@@ -149,6 +149,7 @@
"copyCheckpointName": "Копировать имя checkpoint",
"copyEmbeddingName": "Копировать имя embedding",
"embeddingNameCopied": "Синтаксис embedding скопирован",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "Отправить в ComfyUI",
"sendEmbeddingToWorkflow": "Отправить в ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "Рецепты",
"checkpoints": "Checkpoints",
"embeddings": "Embeddings",
"other": "[TODO: Translate] Other",
"statistics": "Статистика"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "Установить корневую папку Diffusion Model (UNET) по умолчанию для загрузок, импорта и перемещений",
"defaultEmbeddingRoot": "Корневая папка Embedding",
"defaultEmbeddingRootHelp": "Установить корневую папку embedding по умолчанию для загрузок, импорта и перемещений",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "Путь хранения рецептов",
"recipesPathHelp": "Дополнительный пользовательский каталог для сохранённых рецептов. Оставьте пустым, чтобы использовать папку recipes в первом корне LoRA.",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Модели Embedding"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "Корень",
"collapseAll": "Свернуть все папки",
@@ -1878,6 +1893,10 @@
"title": "Инициализация Embedding Manager",
"message": "Сканирование и построение кэша embedding. Это может занять несколько минут..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "Инициализация менеджера рецептов",
"message": "Загрузка и обработка рецептов. Это может занять несколько минут..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "Не удалось загрузить корни checkpoint: {message}",
"unetRootsFailed": "Не удалось загрузить корни Diffusion Model: {message}",
"embeddingRootsFailed": "Не удалось загрузить корни embedding: {message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "Сопоставления путей базовых моделей обновлены ({count})",
"mappingsCleared": "Сопоставления путей базовых моделей очищены",
"mappingSaveFailed": "Не удалось сохранить сопоставления базовых моделей: {message}",
+20
View File
@@ -149,6 +149,7 @@
"copyCheckpointName": "复制 Checkpoint 名称",
"copyEmbeddingName": "复制 Embedding 名称",
"embeddingNameCopied": "已复制 Embedding 语法",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "发送到 ComfyUI",
"sendEmbeddingToWorkflow": "发送到 ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "配方",
"checkpoints": "Checkpoint",
"embeddings": "Embedding",
"other": "[TODO: Translate] Other",
"statistics": "统计"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "设置下载、导入和移动时的默认 Diffusion Model (UNET) 根目录",
"defaultEmbeddingRoot": "Embedding 根目录",
"defaultEmbeddingRootHelp": "设置下载、导入和移动时的默认 Embedding 根目录",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "配方存储路径",
"recipesPathHelp": "已保存配方的可选自定义目录。留空则使用第一个 LoRA 根目录下的 recipes 文件夹。",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embedding 模型"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "根目录",
"collapseAll": "折叠所有文件夹",
@@ -1878,6 +1893,10 @@
"title": "初始化 Embedding 管理器",
"message": "正在扫描并构建 Embedding 缓存。这可能需要几分钟..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "初始化配方管理器",
"message": "正在加载和处理配方。这可能需要几分钟..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "加载 Checkpoint 根目录失败:{message}",
"unetRootsFailed": "加载 Diffusion Model 根目录失败:{message}",
"embeddingRootsFailed": "加载 Embedding 根目录失败:{message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "基础模型路径映射已更新({count} 条映射)",
"mappingsCleared": "基础模型路径映射已清除",
"mappingSaveFailed": "保存基础模型映射失败:{message}",
+20
View File
@@ -149,6 +149,7 @@
"copyCheckpointName": "複製 Checkpoint 名稱",
"copyEmbeddingName": "複製嵌入名稱",
"embeddingNameCopied": "已複製 Embedding 語法",
"modelNameCopied": "[TODO: Translate] Model name copied",
"sendCheckpointToWorkflow": "傳送到 ComfyUI",
"sendEmbeddingToWorkflow": "傳送到 ComfyUI"
},
@@ -233,6 +234,7 @@
"recipes": "配方",
"checkpoints": "Checkpoint",
"embeddings": "Embedding",
"other": "[TODO: Translate] Other",
"statistics": "統計"
},
"search": {
@@ -533,6 +535,16 @@
"defaultUnetRootHelp": "設定下載、匯入和移動時的預設 Diffusion Model (UNET) 根目錄",
"defaultEmbeddingRoot": "Embedding 根目錄",
"defaultEmbeddingRootHelp": "設定下載、匯入和移動時的預設 Embedding 根目錄",
"defaultVaeRoot": "[TODO: Translate] VAE Root",
"defaultVaeRootHelp": "[TODO: Translate] Set default VAE root directory for downloads, imports and moves",
"defaultUpscalerRoot": "[TODO: Translate] Upscaler Root",
"defaultUpscalerRootHelp": "[TODO: Translate] Set default upscaler root directory for downloads, imports and moves",
"defaultTextEncoderRoot": "[TODO: Translate] Text Encoder Root",
"defaultTextEncoderRootHelp": "[TODO: Translate] Set default text encoder root directory for downloads, imports and moves",
"defaultClipVisionRoot": "[TODO: Translate] CLIP Vision Root",
"defaultClipVisionRootHelp": "[TODO: Translate] Set default CLIP vision root directory for downloads, imports and moves",
"defaultControlnetRoot": "[TODO: Translate] ControlNet Root",
"defaultControlnetRootHelp": "[TODO: Translate] Set default ControlNet root directory for downloads, imports and moves",
"recipesPath": "配方儲存路徑",
"recipesPathHelp": "已儲存配方的可選自訂目錄。留空則使用第一個 LoRA 根目錄下的 recipes 資料夾。",
"recipesPathPlaceholder": "/path/to/recipes",
@@ -1201,6 +1213,9 @@
"embeddings": {
"title": "Embedding 模型"
},
"other": {
"title": "[TODO: Translate] Other Models"
},
"sidebar": {
"modelRoot": "根目錄",
"collapseAll": "全部摺疊資料夾",
@@ -1878,6 +1893,10 @@
"title": "初始化 Embedding 管理器",
"message": "正在掃描並建立 Embedding 快取,可能需要幾分鐘..."
},
"other": {
"title": "[TODO: Translate] Initializing Other Models Manager",
"message": "[TODO: Translate] Scanning and building model cache. This may take a few minutes..."
},
"recipes": {
"title": "初始化配方管理器",
"message": "正在載入並處理配方,可能需要幾分鐘..."
@@ -2333,6 +2352,7 @@
"checkpointRootsFailed": "載入 checkpoint 根目錄失敗:{message}",
"unetRootsFailed": "載入 Diffusion Model 根目錄失敗:{message}",
"embeddingRootsFailed": "載入 embedding 根目錄失敗:{message}",
"otherRootsFailed": "[TODO: Translate] Failed to load other model roots: {message}",
"mappingsUpdated": "基礎模型路徑對應已更新({count} 個對應)",
"mappingsCleared": "基礎模型路徑對應已清除",
"mappingSaveFailed": "儲存基礎模型對應失敗:{message}",
+161 -1
View File
@@ -17,6 +17,10 @@ import types as _types
import time
from .utils.cache_paths import CacheType, get_cache_file_path, get_legacy_cache_paths
from .utils.constants import (
DEFAULT_OTHER_MODEL_FOLDERS,
OTHER_MODEL_FOLDER_SUBTYPES,
)
from .utils.settings_paths import (
ensure_settings_file,
get_settings_dir,
@@ -172,6 +176,13 @@ class Config:
self.embeddings_roots = None
self.base_models_roots = self._init_checkpoint_paths()
self.embeddings_roots = self._init_embedding_paths()
# Other-model roots (VAE, upscalers, text encoders, ...): flat deduped
# list plus a normalized root -> sub_type map and per-folder_paths-key
# roots for settings persistence.
self.other_roots: Optional[List[str]] = None
self.other_root_subtypes: Dict[str, str] = {}
self.other_folder_roots: Dict[str, List[str]] = {}
self.other_roots = self._init_other_paths()
# Extra paths (only for LoRA Manager, not shared with ComfyUI)
self.extra_loras_roots: List[str] = []
self.extra_checkpoints_roots: List[str] = []
@@ -336,6 +347,10 @@ class Config:
"unet": list(self.unet_roots or []),
"embeddings": list(self.embeddings_roots or []),
}
# Persist the other-model roots under their original folder_paths
# keys so library switching round-trips them.
for key, roots in (self.other_folder_roots or {}).items():
target_folder_paths[key] = list(roots)
normalized_target_paths = _normalize_folder_paths_for_comparison(
target_folder_paths
@@ -522,6 +537,7 @@ class Config:
roots.extend(self.loras_roots or [])
roots.extend(self.base_models_roots or [])
roots.extend(self.embeddings_roots or [])
roots.extend(self.other_roots or [])
# Include extra paths for scanning symlinks
roots.extend(self.extra_loras_roots or [])
roots.extend(self.extra_checkpoints_roots or [])
@@ -862,6 +878,8 @@ class Config:
preview_roots.update(self._expand_preview_root(root))
for root in self.embeddings_roots or []:
preview_roots.update(self._expand_preview_root(root))
for root in self.other_roots or []:
preview_roots.update(self._expand_preview_root(root))
# Include extra paths for preview access
for root in self.extra_loras_roots or []:
preview_roots.update(self._expand_preview_root(root))
@@ -882,7 +900,7 @@ class Config:
path for path in preview_roots if path.is_absolute()
}
logger.debug(
"Preview roots rebuilt: %d paths from %d lora roots (%d extra), %d checkpoint roots (%d extra), %d embedding roots (%d extra), %d symlink mappings",
"Preview roots rebuilt: %d paths from %d lora roots (%d extra), %d checkpoint roots (%d extra), %d embedding roots (%d extra), %d other roots, %d symlink mappings",
len(self._preview_root_paths),
len(self.loras_roots or []),
len(self.extra_loras_roots or []),
@@ -890,6 +908,7 @@ class Config:
len(self.extra_checkpoints_roots or []),
len(self.embeddings_roots or []),
len(self.extra_embeddings_roots or []),
len(self.other_roots or []),
len(self._path_mappings),
)
@@ -1128,6 +1147,102 @@ class Config:
return unique_paths
def _get_enabled_other_folder_keys(self) -> List[str]:
"""Return the OTHER_MODEL_FOLDER_SUBTYPES keys that are enabled.
Default-enabled categories come from DEFAULT_OTHER_MODEL_FOLDERS;
opt-in categories (e.g. controlnet) are added via the
``enabled_other_folders`` setting (a list of folder_paths keys).
"""
keys = list(DEFAULT_OTHER_MODEL_FOLDERS)
try:
from .services.settings_manager import get_settings_manager
extra = get_settings_manager().get("enabled_other_folders", [])
except Exception:
extra = []
if isinstance(extra, str):
extra = [extra]
if isinstance(extra, Iterable):
for key in extra:
if (
isinstance(key, str)
and key in OTHER_MODEL_FOLDER_SUBTYPES
and key not in keys
):
keys.append(key)
return keys
def _prepare_other_paths(
self, folder_path_map: Mapping[str, Iterable[str]]
) -> Tuple[List[str], Dict[str, str], Dict[str, List[str]]]:
"""Prepare other-model paths from a folder_paths-key -> raw paths map.
Returns:
Tuple of (all_unique_roots, business_root -> sub_type map,
folder_paths key -> business roots). This method does NOT modify
instance variables - callers must set them.
"""
unique_paths: List[str] = []
sub_type_map: Dict[str, str] = {}
per_key_roots: Dict[str, List[str]] = {}
seen_real_paths: Dict[str, str] = {} # real path -> business path
# Cross-scanner overlap detection: warn when an "other" root is
# already covered by the checkpoints/unet or embeddings scanners.
# Kept (not dropped) on purpose - duplicate cards across pages are
# cosmetic, while dropping would silently unmanage the files.
covered_real_paths = {
os.path.normpath(os.path.realpath(path)).replace(os.sep, "/"): path
for path in [
*(self.base_models_roots or []),
*(self.embeddings_roots or []),
]
if isinstance(path, str) and path.strip() and os.path.exists(path)
}
for key, sub_type in OTHER_MODEL_FOLDER_SUBTYPES.items():
raw_paths = folder_path_map.get(key)
if not raw_paths:
continue
path_map = self._dedupe_existing_paths(raw_paths)
key_roots: List[str] = []
for real_path, business_path in sorted(
path_map.items(), key=lambda item: item[1].lower()
):
if real_path in seen_real_paths:
logger.warning(
"Detected the same folder '%s' under multiple other-model "
"categories ('%s' is already mapped). Keeping the first "
"category; please fix your path configuration.",
business_path,
seen_real_paths[real_path],
)
continue
seen_real_paths[real_path] = business_path
unique_paths.append(business_path)
key_roots.append(business_path)
sub_type_map[business_path] = sub_type
if real_path != business_path:
self.add_path_mapping(business_path, real_path)
covered_by = covered_real_paths.get(real_path)
if covered_by:
logger.warning(
"Detected an other-model root ('%s', category '%s') that "
"overlaps an existing checkpoints/embeddings root ('%s'). "
"The same files will appear on both pages; please review "
"your path configuration.",
business_path,
key,
covered_by,
)
if key_roots:
per_key_roots[key] = key_roots
return unique_paths, sub_type_map, per_key_roots
def _apply_library_paths(
self,
folder_paths: Mapping[str, Any],
@@ -1151,6 +1266,16 @@ class Config:
) = self._prepare_checkpoint_paths(checkpoint_paths, unet_paths)
self.embeddings_roots = self._prepare_embedding_paths(embedding_paths)
other_path_map = {
key: folder_paths.get(key, []) or []
for key in self._get_enabled_other_folder_keys()
}
(
self.other_roots,
self.other_root_subtypes,
self.other_folder_roots,
) = self._prepare_other_paths(other_path_map)
# Process extra paths (only for LoRA Manager, not shared with ComfyUI)
extra_paths = extra_folder_paths or {}
extra_lora_paths = extra_paths.get("loras", []) or []
@@ -1267,6 +1392,41 @@ class Config:
logger.warning(f"Error initializing embedding paths: {e}")
return []
def _init_other_paths(self) -> List[str]:
"""Initialize and validate other-model paths from ComfyUI settings.
Iterates the enabled OTHER_MODEL_FOLDER_SUBTYPES keys and pulls each
from ``folder_paths.get_folder_paths(key)`` (in standalone mode the
mock serves arbitrary keys from ``settings.json.folder_paths``).
"""
try:
folder_path_map: Dict[str, List[str]] = {}
for key in self._get_enabled_other_folder_keys():
try:
folder_path_map[key] = folder_paths.get_folder_paths(key)
except Exception as exc:
logger.debug("Error reading folder paths for '%s': %s", key, exc)
(
unique_paths,
self.other_root_subtypes,
self.other_folder_roots,
) = self._prepare_other_paths(folder_path_map)
logger.info(
"Found other model roots:"
+ ("\n - " + "\n - ".join(unique_paths) if unique_paths else "[]")
)
if not unique_paths:
logger.info("No valid other-model folders found in configuration")
return []
return unique_paths
except Exception as e:
logger.warning(f"Error initializing other model paths: {e}")
return []
def get_preview_static_url(self, preview_path: str) -> str:
if not preview_path:
return ""
+7 -1
View File
@@ -219,6 +219,7 @@ class LoraManager:
lora_scanner = await ServiceRegistry.get_lora_scanner()
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
other_scanner = await ServiceRegistry.get_other_scanner()
# Initialize recipe scanner if needed
recipe_scanner = await ServiceRegistry.get_recipe_scanner()
@@ -236,6 +237,10 @@ class LoraManager:
embedding_scanner.initialize_in_background(),
name="embedding_cache_init",
),
asyncio.create_task(
other_scanner.initialize_in_background(),
name="other_cache_init",
),
asyncio.create_task(
recipe_scanner.initialize_in_background(), name="recipe_cache_init"
),
@@ -328,6 +333,7 @@ class LoraManager:
all_roots.update(config.loras_roots)
all_roots.update(config.base_models_roots or [])
all_roots.update(config.embeddings_roots or [])
all_roots.update(config.other_roots or [])
total_deleted = 0
total_size_freed = 0
@@ -460,7 +466,7 @@ class LoraManager:
# Cancel any in-flight scanner initialization tasks so thread-pool
# workers (e.g. _initialize_cache_sync) can break out of their loops
# when the server shuts down (e.g. Ctrl+C on WSL).
for name in ("lora_scanner", "checkpoint_scanner", "embedding_scanner"):
for name in ("lora_scanner", "checkpoint_scanner", "embedding_scanner", "other_scanner"):
scanner = ServiceRegistry.get_service_sync(name)
if scanner is not None and hasattr(scanner, "cancel_task"):
scanner.cancel_task()
+3 -2
View File
@@ -36,6 +36,7 @@ SCANNER_TYPE_MAP: dict[str, str] = {
"get_lora_scanner": "lora",
"get_checkpoint_scanner": "checkpoint",
"get_embedding_scanner": "embedding",
"get_other_scanner": "other",
}
SCANNER_GETTER_NAMES = tuple(SCANNER_TYPE_MAP.keys())
@@ -80,8 +81,8 @@ async def _find_scanner_for_model(
async def identify_model_type(model_path: str) -> str:
"""Determine the model type (``\"lora\"``, ``\"checkpoint\"``, or
``\"embedding\"``) for *model_path*.
"""Determine the model type (``\"lora\"``, ``\"checkpoint\"``,
``\"embedding\"``, or ``\"other\"``) for *model_path*.
Falls back to ``\"lora\"`` when unknown.
"""
@@ -7,7 +7,11 @@ import logging
from aiohttp import web
from ...services.download_routing import is_diffusion_model_download
from ...services.download_routing import (
is_diffusion_model_download,
resolve_other_download_sub_type,
)
from ...utils.constants import VALID_OTHER_CIVITAI_TYPES
logger = logging.getLogger(__name__)
@@ -31,6 +35,7 @@ class DownloadRoutingHandler:
model_type = payload.get("model_type", "")
base_model = payload.get("base_model") or ""
file_types = payload.get("file_types") or []
selected_file_type = payload.get("selected_file_type")
if not isinstance(model_type, str) or not model_type:
return web.json_response(
@@ -44,6 +49,25 @@ class DownloadRoutingHandler:
},
status=400,
)
if selected_file_type is not None and not isinstance(selected_file_type, str):
return web.json_response(
{"success": False, "error": "selected_file_type must be a string"},
status=400,
)
if model_type.lower() in VALID_OTHER_CIVITAI_TYPES:
sub_type = resolve_other_download_sub_type(
model_type,
file_types=(str(t) for t in file_types),
selected_file_type=selected_file_type,
)
return web.json_response(
{
"success": True,
"root_kind": "other",
"sub_type": sub_type,
}
)
is_diffusion = is_diffusion_model_download(
model_type,
+28
View File
@@ -53,6 +53,7 @@ from ...utils.constants import (
PREVIEW_EXTENSIONS,
SUPPORTED_MEDIA_EXTENSIONS,
VALID_LORA_TYPES,
VALID_OTHER_CIVITAI_TYPES,
)
from .hf_handlers import HfHandler
from .agent_handlers import AgentHandler
@@ -658,6 +659,7 @@ class HealthCheckHandler:
"lora": ServiceRegistry.get_lora_scanner,
"checkpoint": ServiceRegistry.get_checkpoint_scanner,
"embedding": ServiceRegistry.get_embedding_scanner,
"other": ServiceRegistry.get_other_scanner,
"recipe": ServiceRegistry.get_recipe_scanner,
}
@@ -757,6 +759,7 @@ class DoctorHandler:
("lora", "LoRAs", ServiceRegistry.get_lora_scanner),
("checkpoint", "Checkpoints", ServiceRegistry.get_checkpoint_scanner),
("embedding", "Embeddings", ServiceRegistry.get_embedding_scanner),
("other", "Other Models", ServiceRegistry.get_other_scanner),
)
)
self._app_version_getter = app_version_getter
@@ -2066,6 +2069,7 @@ class ServiceRegistryAdapter:
get_embedding_scanner: Callable[[], Awaitable[Any]]
get_downloaded_version_history_service: Callable[[], Awaitable[Any]]
get_backup_service: Callable[[], Awaitable[Any]] = _noop_backup_service
get_other_scanner: Callable[[], Awaitable[Any]] = ServiceRegistry.get_other_scanner
class ModelLibraryHandler:
@@ -2787,12 +2791,30 @@ class ModelLibraryHandler:
model_type.lower() for model_type in CIVITAI_USER_MODEL_TYPES
}
lora_type_aliases = {model_type.lower() for model_type in VALID_LORA_TYPES}
other_type_aliases = {
model_type.lower() for model_type in VALID_OTHER_CIVITAI_TYPES
}
# Acquire the other scanner lazily so adapters without it only
# fail when the payload actually contains other-type models.
needs_other_scanner = any(
isinstance(model, dict)
and str(model.get("type", "")).lower() in other_type_aliases
for model in models
)
other_scanner = None
if needs_other_scanner:
other_scanner = await self._service_registry.get_other_scanner()
type_scanner_map: Dict[str, Any] = {
**{alias: lora_scanner for alias in lora_type_aliases},
"checkpoint": checkpoint_scanner,
"textualinversion": embedding_scanner,
}
if other_scanner is not None:
type_scanner_map.update(
{alias: other_scanner for alias in other_type_aliases}
)
versions: list[dict[str, Any]] = []
history_service = await self._get_download_history_service()
@@ -2816,12 +2838,17 @@ class ModelLibraryHandler:
"embedding",
model_ids,
)
other_downloaded = await history_service.get_downloaded_version_ids_bulk(
"other",
model_ids,
)
downloaded_version_map: Dict[str, Dict[int, set[int]]] = {
"lora": lora_downloaded,
"locon": lora_downloaded,
"dora": lora_downloaded,
"checkpoint": checkpoint_downloaded,
"textualinversion": embedding_downloaded,
**{alias: other_downloaded for alias in VALID_OTHER_CIVITAI_TYPES},
}
for model in models:
if not isinstance(model, dict):
@@ -3980,6 +4007,7 @@ def build_service_registry_adapter() -> ServiceRegistryAdapter:
get_lora_scanner=ServiceRegistry.get_lora_scanner,
get_checkpoint_scanner=ServiceRegistry.get_checkpoint_scanner,
get_embedding_scanner=ServiceRegistry.get_embedding_scanner,
get_other_scanner=ServiceRegistry.get_other_scanner,
get_downloaded_version_history_service=ServiceRegistry.get_downloaded_version_history_service,
get_backup_service=ServiceRegistry.get_backup_service,
)
@@ -35,6 +35,7 @@ _MODEL_TYPE_GETTER_NAMES: Dict[str, str] = {
"loras": "get_lora_scanner",
"checkpoints": "get_checkpoint_scanner",
"embeddings": "get_embedding_scanner",
"other": "get_other_scanner",
}
# Staged batch ids are ``uuid.uuid4().hex`` (32 lowercase hex chars). The id is
+104
View File
@@ -0,0 +1,104 @@
import logging
from typing import Any, Dict, List
from aiohttp import web
from .base_model_routes import BaseModelRoutes
from .model_route_registrar import ModelRouteRegistrar
from ..config import config
from ..services.other_model_service import OtherModelService
from ..services.service_registry import ServiceRegistry
from ..utils.constants import OTHER_MODEL_FOLDER_SUBTYPES, VALID_OTHER_CIVITAI_TYPES
logger = logging.getLogger(__name__)
class OtherRoutes(BaseModelRoutes):
"""Other-model-specific route controller (VAE, upscaler, text encoder, ...)"""
def __init__(self):
"""Initialize Other-model routes with OtherModel service"""
super().__init__()
self.template_name = "other.html"
async def initialize_services(self):
"""Initialize services from ServiceRegistry"""
other_scanner = await ServiceRegistry.get_other_scanner()
update_service = await ServiceRegistry.get_model_update_service()
self.service = OtherModelService(other_scanner, update_service=update_service)
self.set_model_update_service(update_service)
# Attach service dependencies
self.attach_service(self.service)
def setup_routes(self, app: web.Application, prefix: str = "other"):
"""Setup Other-model routes"""
# Schedule service initialization on app startup
app.on_startup.append(lambda _: self.initialize_services())
# Setup common routes with 'other' prefix (includes page route)
super().setup_routes(app, prefix)
def setup_specific_routes(self, registrar: ModelRouteRegistrar, prefix: str):
"""Setup Other-model-specific routes"""
# Other-model info by name
registrar.add_prefixed_route('GET', '/api/lm/{prefix}/info/{name}', prefix, self.get_other_model_info)
# Other-model roots grouped by sub_type (text_encoders + legacy clip
# are aggregated under text_encoder)
registrar.add_prefixed_route('GET', '/api/lm/{prefix}/roots_by_subtype', prefix, self.get_roots_by_subtype)
def _validate_civitai_model_type(self, model_type: str) -> bool:
"""Validate CivitAI model type for other models.
Accepts retired CivitAI types (CLIP, CLIPVision) as well grandfathered
models on CivitAI still carry them.
"""
return model_type.lower() in VALID_OTHER_CIVITAI_TYPES
def _get_expected_model_types(self) -> str:
"""Get expected model types string for error messages"""
return "VAE, Upscaler, TextEncoder, CLIPVision, Controlnet, or Other"
def _parse_specific_params(self, request: web.Request) -> Dict[str, Any]:
"""Parse other-model-specific parameters (none in Phase 1)."""
return {}
async def get_roots_by_subtype(self, request: web.Request) -> web.Response:
"""Return other-model roots grouped by sub_type.
Aggregates the per-folder_paths-key roots from config
(``text_encoders`` and the legacy ``clip`` key both land under
``text_encoder``).
"""
try:
roots_by_subtype: Dict[str, List[str]] = {}
for key, roots in (config.other_folder_roots or {}).items():
sub_type = OTHER_MODEL_FOLDER_SUBTYPES.get(key)
if not sub_type:
continue
bucket = roots_by_subtype.setdefault(sub_type, [])
for root in roots:
if root and root not in bucket:
bucket.append(root)
return web.json_response(
{"success": True, "roots_by_subtype": roots_by_subtype}
)
except Exception as e:
logger.error(f"Error getting other roots by sub_type: {e}", exc_info=True)
return web.json_response(
{"success": False, "error": str(e)}, status=500
)
async def get_other_model_info(self, request: web.Request) -> web.Response:
"""Get detailed information for a specific other model by name"""
try:
name = request.match_info.get('name', '')
model_info = await self.service.get_model_info_by_name(name) # pyright: ignore[reportAttributeAccessIssue]
if model_info:
return web.json_response(model_info)
else:
return web.json_response({"error": "Model not found"}, status=404)
except Exception as e:
logger.error(f"Error in get_other_model_info: {e}", exc_info=True)
return web.json_response({"error": str(e)}, status=500)
+6 -1
View File
@@ -7,7 +7,7 @@ import logging
import os
import time
from ..utils.constants import VALID_LORA_SUB_TYPES, VALID_CHECKPOINT_SUB_TYPES
from ..utils.constants import VALID_LORA_SUB_TYPES, VALID_CHECKPOINT_SUB_TYPES, VALID_OTHER_SUB_TYPES
from ..utils.models import BaseModelMetadata
from ..utils.metadata_manager import MetadataManager
from ..utils.usage_stats import UsageStats
@@ -904,6 +904,11 @@ class BaseModelService(ABC):
and normalized_type not in VALID_CHECKPOINT_SUB_TYPES
):
continue
if (
self.model_type == "other"
and normalized_type not in VALID_OTHER_SUB_TYPES
):
continue
type_counts[normalized_type] = type_counts.get(normalized_type, 0) + 1
+88 -5
View File
@@ -17,12 +17,18 @@ from dataclasses import dataclass, field
import uuid
from typing import Any, Dict, Iterable, List, Optional, Set, Tuple, cast
from urllib.parse import urlparse
from ..utils.models import LoraMetadata, CheckpointMetadata, EmbeddingMetadata
from ..utils.models import (
LoraMetadata,
CheckpointMetadata,
EmbeddingMetadata,
OtherModelMetadata,
)
from ..utils.constants import (
CARD_PREVIEW_WIDTH,
MODEL_WEIGHT_FILE_TYPES,
SUPPORTED_DOWNLOAD_SKIP_BASE_MODELS,
VALID_LORA_TYPES,
VALID_OTHER_CIVITAI_TYPES,
)
from ..utils.civitai_utils import normalize_civitai_download_url, rewrite_preview_url
from ..utils.file_utils import calculate_sha256, calculate_autov3
@@ -31,7 +37,7 @@ from ..utils.utils import sanitize_folder_name
from ..utils.exif_utils import ExifUtils
from ..utils.metadata_manager import MetadataManager
from .service_registry import ServiceRegistry
from .download_routing import is_diffusion_model_download
from .download_routing import is_diffusion_model_download, resolve_other_download_sub_type
from .settings_manager import get_settings_manager
from .metadata_service import get_default_metadata_provider, get_metadata_provider
from .downloader import get_downloader, DownloadProgress, DownloadStreamControl
@@ -228,12 +234,21 @@ class DownloadManager:
return False
async def _get_scanner_for_model_type(self, model_type: str):
"""Return the scanner responsible for the given model type."""
"""Return the scanner responsible for the given model type.
Every supported type resolves explicitly an unknown type must never
fall through to the lora scanner (an "other" download would silently
dedupe against the lora library).
"""
if model_type == "checkpoint":
return await self._get_checkpoint_scanner()
if model_type == "embedding":
return await ServiceRegistry.get_embedding_scanner()
return await self._get_lora_scanner()
if model_type == "other":
return await ServiceRegistry.get_other_scanner()
if model_type == "lora":
return await self._get_lora_scanner()
raise ValueError(f'Unknown model type "{model_type}"')
@staticmethod
def _resolve_target_file(
@@ -978,6 +993,8 @@ class DownloadManager:
return CheckpointMetadata.from_civitai_info(version_info, file_info, save_path)
if model_type == "embedding":
return EmbeddingMetadata.from_civitai_info(version_info, file_info, save_path)
if model_type == "other":
return OtherModelMetadata.from_civitai_info(version_info, file_info, save_path)
return LoraMetadata.from_civitai_info(version_info, file_info, save_path)
def _resolve_save_path_from_persisted_record(self, record: Dict[str, Any]) -> Optional[str]:
@@ -1438,6 +1455,7 @@ class DownloadManager:
lora_scanner = await self._get_lora_scanner()
checkpoint_scanner = await self._get_checkpoint_scanner()
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
other_scanner = await ServiceRegistry.get_other_scanner()
# Check lora scanner first
if await lora_scanner.check_model_version_exists(model_version_id):
@@ -1462,6 +1480,13 @@ class DownloadManager:
"error": "Model version already exists in embedding library",
}
# Check other scanner
if await other_scanner.check_model_version_exists(model_version_id):
return {
"success": False,
"error": "Model version already exists in other library",
}
# Use CivArchive provider directly when source is 'civarchive'
# This prioritizes CivArchive metadata (with mirror availability info) over Civitai
if source == "civarchive":
@@ -1500,6 +1525,8 @@ class DownloadManager:
model_type = "lora"
elif model_type_from_info == "textualinversion":
model_type = "embedding"
elif model_type_from_info in VALID_OTHER_CIVITAI_TYPES:
model_type = "other"
else:
return {
"success": False,
@@ -1686,6 +1713,13 @@ class DownloadManager:
"success": False,
"error": "Model version already exists in embedding library",
}
elif model_type == "other":
other_scanner = await ServiceRegistry.get_other_scanner()
if await other_scanner.check_model_version_exists(version_id):
return {
"success": False,
"error": "Model version already exists in other library",
}
# Handle use_default_paths
if use_default_paths:
@@ -1725,6 +1759,45 @@ class DownloadManager:
"error": "Default embedding root path not set in settings",
}
save_dir = default_path
elif model_type == "other":
other_sub_type = resolve_other_download_sub_type(
model_type_from_info,
file_types=(
f.get("type", "")
for f in version_info.get("files", [])
if isinstance(f, dict)
),
selected_file_type=(
target_file.get("type") if explicit_file else None
),
)
default_other_roots = (
settings_manager.get("default_other_roots") or {}
)
default_path = (
default_other_roots.get(other_sub_type)
if other_sub_type
else None
)
if not isinstance(default_path, str) or not default_path:
if other_sub_type:
detail = (
f"No default root configured for other-model "
f"sub-type '{other_sub_type}'"
)
else:
detail = (
"Could not determine the other-model sub-type "
"from the model metadata"
)
return {
"success": False,
"error": (
f"{detail}. Please pick a destination folder "
f"explicitly instead of using default paths."
),
}
save_dir = default_path
# Calculate relative path using template
relative_path = self._calculate_relative_path(version_info, model_type)
@@ -1921,6 +1994,11 @@ class DownloadManager:
version_info, file_info, save_path
)
logger.info(f"Creating EmbeddingMetadata for {file_name}")
elif model_type == "other":
metadata = OtherModelMetadata.from_civitai_info(
version_info, file_info, save_path
)
logger.info(f"Creating OtherModelMetadata for {file_name}")
else:
return {
"success": False,
@@ -2133,6 +2211,8 @@ class DownloadManager:
scanner = await self._get_checkpoint_scanner()
elif model_type == "embedding":
scanner = await ServiceRegistry.get_embedding_scanner()
elif model_type == "other":
scanner = await ServiceRegistry.get_other_scanner()
except Exception as exc:
logger.debug("Failed to acquire scanner for %s models: %s", model_type, exc)
@@ -2629,6 +2709,9 @@ class DownloadManager:
elif model_type == "embedding":
scanner = await ServiceRegistry.get_embedding_scanner()
logger.info(f"Updating embedding cache for {actual_file_paths[0]}")
elif model_type == "other":
scanner = await ServiceRegistry.get_other_scanner()
logger.info(f"Updating other-model cache for {actual_file_paths[0]}")
adjust_cached_entry = (
getattr(scanner, "adjust_cached_entry", None)
@@ -2718,7 +2801,7 @@ class DownloadManager:
return {"success": False, "error": str(e)}
def _get_supported_extensions_for_type(self, model_type: str) -> Set[str]:
if model_type == "checkpoint":
if model_type in ("checkpoint", "other"):
return {
".ckpt",
".pt",
+52 -2
View File
@@ -10,9 +10,13 @@ two can never disagree.
from __future__ import annotations
import logging
from typing import Iterable
from typing import Iterable, Optional
from ..utils.constants import DIFFUSION_MODEL_BASE_MODELS
from ..utils.constants import (
CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE,
CIVITAI_TYPE_TO_OTHER_SUB_TYPE,
DIFFUSION_MODEL_BASE_MODELS,
)
logger = logging.getLogger(__name__)
@@ -51,3 +55,49 @@ def is_diffusion_model_download(
return True
return False
def resolve_other_download_sub_type(
civitai_model_type: str,
file_types: Iterable[str] = (),
selected_file_type: Optional[str] = None,
) -> Optional[str]:
"""Resolve the "other"-page sub_type for a download.
Fixed priority (locked design, docs/plans/other-models-page.md §9.2):
1. Explicit user file pick when the picked file's type maps, it wins
even when model.type maps to something else.
2. model.type via CIVITAI_TYPE_TO_OTHER_SUB_TYPE.
3. file.type fallback only when model.type maps to nothing. Must NOT
override a mapped model.type: checkpoint models routinely bundle
VAE/Text Encoder component files.
4. Still undecidable -> None (caller must ask the user for a folder).
"""
if selected_file_type:
mapped = CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE.get(selected_file_type)
if mapped:
logger.info(
"Explicit file pick type '%s' routes other download to '%s'",
selected_file_type,
mapped,
)
return mapped
normalized_model_type = (civitai_model_type or "").strip().lower()
mapped = CIVITAI_TYPE_TO_OTHER_SUB_TYPE.get(normalized_model_type)
if mapped:
return mapped
for file_type in file_types:
mapped = CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE.get(file_type)
if mapped:
logger.info(
"model.type '%s' unmapped; file type '%s' routes other download to '%s'",
civitai_model_type,
file_type,
mapped,
)
return mapped
return None
+1
View File
@@ -68,6 +68,7 @@ PAGE_TYPE_MAP = {
'lora': 'loras',
'checkpoint': 'checkpoints',
'embedding': 'embeddings',
'other': 'other',
}
+6 -1
View File
@@ -118,13 +118,15 @@ class ModelServiceFactory:
def register_default_model_types():
"""Register the default model types (LoRA, Checkpoint, and Embedding)"""
"""Register the default model types (LoRA, Checkpoint, Embedding, and Other)"""
from ..services.lora_service import LoraService
from ..services.checkpoint_service import CheckpointService
from ..services.embedding_service import EmbeddingService
from ..services.other_model_service import OtherModelService
from ..routes.lora_routes import LoraRoutes
from ..routes.checkpoint_routes import CheckpointRoutes
from ..routes.embedding_routes import EmbeddingRoutes
from ..routes.other_routes import OtherRoutes
# Register LoRA model type
ModelServiceFactory.register_model_type('lora', LoraService, LoraRoutes)
@@ -134,3 +136,6 @@ def register_default_model_types():
# Register Embedding model type
ModelServiceFactory.register_model_type('embedding', EmbeddingService, EmbeddingRoutes)
# Register Other model type (VAE, upscaler, text encoder, ...)
ModelServiceFactory.register_model_type('other', OtherModelService, OtherRoutes)
+79
View File
@@ -0,0 +1,79 @@
import os
import logging
from typing import Any, Dict, Optional
from .base_model_service import BaseModelService
from .auto_tag_service import extract_auto_tags
from ..utils.models import OtherModelMetadata
from ..config import config
logger = logging.getLogger(__name__)
class OtherModelService(BaseModelService):
"""Other-model-specific service implementation (VAE, upscaler, text encoder, ...)"""
def __init__(self, scanner, update_service=None):
"""Initialize Other-model service
Args:
scanner: Other-model scanner instance
update_service: Optional service for remote update tracking.
"""
super().__init__("other", scanner, OtherModelMetadata, update_service=update_service)
async def format_response(self, model_data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
"""Format other-model data for API response.
Returns None when the entry is missing critical fields (corrupted cache
row), so the handler layer can filter it out. See issue #730.
"""
# Guard against corrupted cache entries missing critical fields
file_path = model_data.get("file_path")
if not file_path or not isinstance(file_path, str):
logger.warning(
"Skipping corrupted other-model entry (missing file_path): %s",
model_data.get("file_name", "<unknown>"),
)
return None
# Get sub_type from cache entry (new canonical field)
sub_type = model_data.get("sub_type", "vae")
file_name = model_data.get("file_name") or ""
model_name = model_data.get("model_name") or file_name
folder = model_data.get("folder") or ""
return {
"model_name": model_name,
"file_name": file_name,
"preview_url": config.get_preview_static_url(model_data.get("preview_url", "")),
"preview_nsfw_level": model_data.get("preview_nsfw_level", 0),
"base_model": model_data.get("base_model", ""),
"folder": folder,
"sha256": model_data.get("sha256", ""),
"autov3": model_data.get("autov3"),
"file_path": file_path.replace(os.sep, "/"),
"file_size": model_data.get("size", 0),
"modified": model_data.get("modified", ""),
"tags": model_data.get("tags", []),
"from_civitai": model_data.get("from_civitai", True),
"notes": model_data.get("notes", ""),
"sub_type": sub_type,
"favorite": model_data.get("favorite", False),
"exclude": bool(model_data.get("exclude", False)),
"update_available": bool(model_data.get("update_available", False)),
"skip_metadata_refresh": bool(model_data.get("skip_metadata_refresh", False)),
"civitai": self.filter_civitai_data(model_data.get("civitai", {}), minimal=True),
"auto_tags": model_data.get("auto_tags") or extract_auto_tags(model_data),
"version_count": model_data.get("version_count"),
"hf_url": model_data.get("hf_url", ""),
}
def find_duplicate_hashes(self) -> Dict[str, Any]:
"""Find other models with duplicate SHA256 hashes"""
return self.scanner._hash_index.get_duplicate_hashes()
def find_duplicate_filenames(self) -> Dict[str, Any]:
"""Find other models with conflicting filenames"""
return self.scanner._hash_index.get_duplicate_filenames()
+468
View File
@@ -0,0 +1,468 @@
# pyright: reportImportCycles=false
# Lazy (function-local) imports still count as static edges in basedpyright's
# reportImportCycles, so the ServiceRegistry singleton pattern necessarily forms
# import cycles. Breaking them would require an architectural refactor.
import asyncio
import json
import logging
import os
from datetime import datetime
from typing import Any, Dict, List, Optional
from ..utils.models import OtherModelMetadata
from ..utils.file_utils import find_preview_file, normalize_path, calculate_autov3
from ..utils.metadata_manager import MetadataManager
from ..config import config
from .model_scanner import ModelScanner, _is_excluded_dir
from .model_hash_index import ModelHashIndex
logger = logging.getLogger(__name__)
class OtherScanner(ModelScanner):
"""Service for scanning and managing "other" model files.
Aggregates every enabled folder_paths category from
OTHER_MODEL_FOLDER_SUBTYPES (VAE, upscalers, text encoders, CLIP vision,
opt-in ControlNet) into one scanner; sub_type is derived from the root
containing the file (mirrors CheckpointScanner's checkpoints/unet split).
Hashing is lazy (checkpoint-style): text encoders can be ~10 GB, so the
initial scan records hash_status="pending" and the SHA256 is computed
on-demand via calculate_hash_for_model (e.g. when fetching CivitAI
metadata).
"""
def __init__(self):
# Same extension set as CheckpointScanner (ComfyUI's
# supported_pt_extensions plus ".gguf").
file_extensions = {
".ckpt",
".pt",
".pt2",
".bin",
".pth",
".safetensors",
".pkl",
".sft",
".gguf",
}
super().__init__(
model_type="other",
model_class=OtherModelMetadata,
file_extensions=file_extensions,
hash_index=ModelHashIndex(),
)
if not hasattr(self, "_hash_calculation_lock"):
self._hash_calculation_lock = asyncio.Lock()
self._hash_calculation_tasks: dict[str, asyncio.Task[Optional[str]]] = {}
async def _create_default_metadata(
self, file_path: str
) -> Optional[OtherModelMetadata]:
"""Create default metadata without calculating hash (lazy hash).
Other models include multi-GB text encoders, so hash calculation is
deferred until on-demand (e.g. CivitAI metadata fetch).
"""
try:
real_path = os.path.realpath(file_path)
if not os.path.exists(real_path):
logger.error(f"File not found: {file_path}")
return None
base_name = os.path.splitext(os.path.basename(file_path))[0]
dir_path = os.path.dirname(file_path)
# Find preview image
preview_url = find_preview_file(base_name, dir_path)
# AutoV3 reads only the safetensors header, so it is cheap even for
# large files; record the checked state at creation time ("" =
# checked but unavailable).
autov3 = calculate_autov3(real_path)
# Create metadata WITHOUT calculating hash
metadata = OtherModelMetadata(
file_name=base_name,
model_name=base_name,
file_path=normalize_path(file_path),
size=os.path.getsize(real_path),
modified=datetime.now().timestamp(),
sha256="", # Empty hash - will be calculated on-demand
base_model="Unknown",
preview_url=normalize_path(preview_url),
tags=[],
modelDescription="",
sub_type=self.resolve_sub_type_for_path(file_path) or "vae",
from_civitai=False, # Mark as local model since no hash yet
hash_status="pending", # Mark hash as pending
autov3=autov3 or "",
)
# Save the created metadata
logger.info(f"Creating other-model metadata (hash pending) for {file_path}")
await MetadataManager.save_metadata(file_path, metadata)
return metadata
except Exception as e:
logger.error(
f"Error creating default other-model metadata for {file_path}: {e}"
)
return None
async def calculate_hash_for_model(self, file_path: str) -> Optional[str]:
"""Calculate hash for a model on-demand with per-file singleflight.
Args:
file_path: Path to the model file
Returns:
SHA256 hash string, or None if calculation failed
"""
try:
real_path = os.path.realpath(file_path)
if not os.path.exists(real_path):
logger.error(f"File not found for hash calculation: {file_path}")
return None
metadata, _ = await MetadataManager.load_metadata(
file_path, self.model_class
)
if (
metadata is not None
and metadata.hash_status == "completed"
and metadata.sha256
):
# Ensure the in-memory hash index is populated even when
# the hash was already computed and persisted to the metadata
# file. Without this, usage tracking (and any other caller
# that queries get_hash_by_filename first) will miss on every
# lookup and keep calling back into this method, creating a
# tight loop that never populates the index.
self._hash_index.add_entry(
metadata.sha256.lower(),
file_path,
getattr(metadata, "autov3", None) or None,
)
return metadata.sha256
async with self._hash_calculation_lock:
metadata, _ = await MetadataManager.load_metadata(
file_path, self.model_class
)
if (
metadata is not None
and metadata.hash_status == "completed"
and metadata.sha256
):
self._hash_index.add_entry(
metadata.sha256.lower(),
file_path,
getattr(metadata, "autov3", None) or None,
)
return metadata.sha256
task = self._hash_calculation_tasks.get(real_path)
if task is None:
task = asyncio.create_task(
self._run_hash_calculation_task(file_path, real_path)
)
self._hash_calculation_tasks[real_path] = task
return await asyncio.shield(task)
except Exception as e:
logger.error(f"Error calculating hash for {file_path}: {e}")
return None
async def _run_hash_calculation_task(
self, file_path: str, real_path: str
) -> Optional[str]:
"""Run a hash calculation task and remove it from the in-flight map."""
try:
return await self._calculate_hash_for_model_uncached(file_path, real_path)
finally:
task = asyncio.current_task()
async with self._hash_calculation_lock:
if self._hash_calculation_tasks.get(real_path) is task:
del self._hash_calculation_tasks[real_path]
async def _calculate_hash_for_model_uncached(
self, file_path: str, real_path: str
) -> Optional[str]:
"""Calculate hash for a model without checking in-flight tasks."""
from ..utils.file_utils import calculate_sha256
try:
# Load current metadata
metadata, should_skip = await MetadataManager.load_metadata(
file_path, self.model_class
)
if metadata is None:
if should_skip:
logger.error(f"Invalid metadata found for {file_path}")
return None
created_metadata = await self._create_default_metadata(file_path)
if created_metadata is None:
logger.error(f"No metadata found for {file_path}")
return None
metadata = created_metadata
# Check if hash is already calculated
if metadata.hash_status == "completed" and metadata.sha256:
# Populate the in-memory hash index even for pre-computed
# hashes, mirroring the fix in calculate_hash_for_model.
self._hash_index.add_entry(
metadata.sha256.lower(),
file_path,
getattr(metadata, "autov3", None) or None,
)
return metadata.sha256
# Update status to calculating
metadata.hash_status = "calculating"
await MetadataManager.save_metadata(file_path, metadata)
# Calculate hash
logger.info(f"Calculating hash for other model: {file_path}")
sha256 = await calculate_sha256(real_path)
# Update metadata with hash
metadata.sha256 = sha256
metadata.hash_status = "completed"
await MetadataManager.save_metadata(file_path, metadata)
# Update hash index
self._hash_index.add_entry(
sha256.lower(),
file_path,
getattr(metadata, "autov3", None) or None,
)
# Update the in-memory cache entry so that subsequent
# _persist_current_cache / _save_persistent_cache calls
# write the hash back to the SQLite models table. Without
# this the hash only lives in the metadata file and the
# in-memory hash index, both of which are lost across
# restarts, causing the same re-computation loop on the
# next session.
if self._cache is not None and self._cache.raw_data:
for entry in self._cache.raw_data:
if entry.get("file_path") == file_path:
entry["sha256"] = sha256.lower()
entry["hash_status"] = "completed"
self.bump_cache_version()
break
logger.info(f"Hash calculated for other model: {file_path}")
return sha256
except Exception as e:
logger.error(f"Error calculating hash for {file_path}: {e}")
# Update status to failed
try:
metadata, _ = await MetadataManager.load_metadata(
file_path, self.model_class
)
if metadata:
metadata.hash_status = "failed"
await MetadataManager.save_metadata(file_path, metadata)
except Exception:
pass
return None
async def calculate_all_pending_hashes(
self, progress_callback=None
) -> Dict[str, int]:
"""Calculate hashes for all other models with pending hash status.
If cache is not initialized, scans filesystem directly for metadata files
with hash_status != 'completed'.
Args:
progress_callback: Optional callback(progress, total, current_file)
Returns:
Dict with 'completed', 'failed', 'total' counts
"""
# Try to get from cache first
cache = await self.get_cached_data()
if cache and cache.raw_data:
# Use cache if available
pending_models = [
item
for item in cache.raw_data
if item.get("hash_status") != "completed" or not item.get("sha256")
]
else:
# Cache not initialized, scan filesystem directly
pending_models = await self._find_pending_models_from_filesystem()
if not pending_models:
return {"completed": 0, "failed": 0, "total": 0}
total = len(pending_models)
completed = 0
failed = 0
for i, model_data in enumerate(pending_models):
file_path = model_data.get("file_path")
if not file_path:
continue
try:
sha256 = await self.calculate_hash_for_model(file_path)
if sha256:
completed += 1
else:
failed += 1
except Exception as e:
logger.error(f"Error calculating hash for {file_path}: {e}")
failed += 1
if progress_callback:
try:
await progress_callback(i + 1, total, file_path)
except Exception:
pass
return {"completed": completed, "failed": failed, "total": total}
async def _find_pending_models_from_filesystem(self) -> List[Dict[str, Any]]:
"""Scan filesystem for other-model metadata files with pending hash status."""
pending_models = []
for root_path in self.get_model_roots():
if not os.path.exists(root_path):
continue
for dirpath, dirnames, filenames in os.walk(root_path):
dirnames[:] = [d for d in dirnames if not _is_excluded_dir(d)]
for filename in filenames:
if not filename.endswith(".metadata.json"):
continue
metadata_path = os.path.join(dirpath, filename)
try:
with open(metadata_path, "r", encoding="utf-8") as f:
data = json.load(f)
# Check if hash is pending
hash_status = data.get("hash_status", "completed")
sha256 = data.get("sha256", "")
if hash_status != "completed" or not sha256:
# Find corresponding model file
model_name = filename.replace(".metadata.json", "")
model_path = None
# Look for model file with matching name
for ext in self.file_extensions:
potential_path = os.path.join(dirpath, model_name + ext)
if os.path.exists(potential_path):
model_path = potential_path
break
if model_path:
pending_models.append(
{
"file_path": model_path.replace(os.sep, "/"),
"hash_status": hash_status,
"sha256": sha256,
**{
k: v
for k, v in data.items()
if k
not in [
"file_path",
"hash_status",
"sha256",
]
},
}
)
except (json.JSONDecodeError, Exception) as e:
logger.debug(
f"Error reading metadata file {metadata_path}: {e}"
)
continue
return pending_models
def _root_sub_type_map(self) -> Dict[str, str]:
"""Return the configured business root -> sub_type map."""
root_map = getattr(config, "other_root_subtypes", None)
return root_map if isinstance(root_map, dict) else {}
def _resolve_sub_type(self, root_path: Optional[str]) -> Optional[str]:
"""Resolve the sub_type for a configured root path."""
if not root_path:
return None
normalized_root = self._normalize_path_value(root_path)
for root, sub_type in self._root_sub_type_map().items():
if self._normalize_path_value(root) == normalized_root:
return sub_type
return None
def resolve_sub_type_for_path(self, file_path: Optional[str]) -> Optional[str]:
"""Resolve sub_type from the configured root that contains the file.
Uses the longest-prefix match so nested roots (e.g. a controlnet root
inside a vae root) resolve to the most specific category.
"""
normalized_path = self._normalize_path_value(file_path)
if not normalized_path:
return None
best_length = 0
best_sub_type: Optional[str] = None
for root, sub_type in self._root_sub_type_map().items():
normalized_root = self._normalize_path_value(root)
if not normalized_root:
continue
if (
normalized_path == normalized_root
or normalized_path.startswith(f"{normalized_root}/")
) and len(normalized_root) > best_length:
best_length = len(normalized_root)
best_sub_type = sub_type
return best_sub_type
def adjust_metadata(self, metadata, file_path, root_path):
"""Adjust metadata during scanning to set sub_type."""
sub_type = self._resolve_sub_type(root_path) or self.resolve_sub_type_for_path(
file_path
)
if sub_type:
metadata.sub_type = sub_type
return metadata
def adjust_cached_entry(self, entry: Dict[str, Any]) -> Dict[str, Any]:
"""Adjust entries loaded from the persisted cache to ensure sub_type is set.
sub_type is location-derived: it is re-derived on cache load, never
trusted from the persisted snapshot.
"""
sub_type = self.resolve_sub_type_for_path(entry.get("file_path"))
if sub_type:
entry["sub_type"] = sub_type
return entry
def get_model_roots(self) -> List[str]:
"""Get other-model root directories"""
roots: List[str] = []
roots.extend(config.other_roots or [])
# Remove duplicates while preserving order
seen: set[str] = set()
unique_roots: List[str] = []
for root in roots:
if root and root not in seen:
seen.add(root)
unique_roots.append(root)
return unique_roots
+2
View File
@@ -59,6 +59,7 @@ _MODEL_TYPE_PAGE_MAP = {
"lora": "loras",
"checkpoint": "checkpoints",
"embedding": "embeddings",
"other": "other",
}
# Module-level alias so tests can spy on timer task creation without patching
@@ -983,6 +984,7 @@ class PendingDeleteService:
"get_lora_scanner",
"get_checkpoint_scanner",
"get_embedding_scanner",
"get_other_scanner",
):
getter = getattr(ServiceRegistry, getter_name, None)
if not callable(getter):
+21
View File
@@ -314,6 +314,27 @@ class ServiceRegistry:
logger.debug(f"Created and registered {service_name}")
return scanner
@classmethod
async def get_other_scanner(cls):
"""Get or create Other-model scanner instance"""
service_name = "other_scanner"
if service_name in cls._services:
return cls._services[service_name]
async with cls._get_lock(service_name):
# Double-check after acquiring lock
if service_name in cls._services:
return cls._services[service_name]
# Import here to avoid circular imports
from .other_scanner import OtherScanner
scanner = await OtherScanner.get_instance()
cls._services[service_name] = scanner
logger.debug(f"Created and registered {service_name}")
return scanner
@classmethod
def clear_services(cls):
"""Clear all registered services - mainly for testing"""
+114
View File
@@ -27,7 +27,9 @@ from platformdirs import user_config_dir
from ..utils.constants import (
DEFAULT_HASH_CHUNK_SIZE_MB,
DEFAULT_PRIORITY_TAG_CONFIG,
OTHER_MODEL_FOLDER_SUBTYPES,
SUPPORTED_DOWNLOAD_SKIP_BASE_MODELS,
VALID_OTHER_SUB_TYPES,
)
from ..utils.preview_selection import VALID_MATURE_BLUR_LEVELS
from ..utils.settings_paths import (
@@ -83,6 +85,7 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
"default_checkpoint_root": "",
"default_unet_root": "",
"default_embedding_root": "",
"default_other_roots": {},
"recipes_path": "",
"base_model_path_mappings": {},
"download_path_templates": {},
@@ -309,6 +312,7 @@ class SettingsManager:
default_checkpoint_root=merged.get("default_checkpoint_root"),
default_unet_root=merged.get("default_unet_root"),
default_embedding_root=merged.get("default_embedding_root"),
default_other_roots=merged.get("default_other_roots"),
recipes_path=merged.get("recipes_path"),
)
}
@@ -443,6 +447,7 @@ class SettingsManager:
),
default_unet_root=self.settings.get("default_unet_root", ""),
default_embedding_root=self.settings.get("default_embedding_root", ""),
default_other_roots=self.settings.get("default_other_roots"),
recipes_path=self.settings.get("recipes_path", ""),
)
libraries = {library_name: library_payload}
@@ -494,6 +499,7 @@ class SettingsManager:
default_checkpoint_root=data.get("default_checkpoint_root"),
default_unet_root=data.get("default_unet_root"),
default_embedding_root=data.get("default_embedding_root"),
default_other_roots=data.get("default_other_roots"),
recipes_path=data.get("recipes_path"),
metadata=data.get("metadata"),
base=data,
@@ -541,6 +547,9 @@ class SettingsManager:
self.settings["default_embedding_root"] = active_library.get(
"default_embedding_root", ""
)
self.settings["default_other_roots"] = self._normalize_default_other_roots(
active_library.get("default_other_roots", {})
)
self.settings["recipes_path"] = active_library.get("recipes_path", "")
if save:
@@ -558,6 +567,7 @@ class SettingsManager:
default_checkpoint_root: Optional[str] = None,
default_unet_root: Optional[str] = None,
default_embedding_root: Optional[str] = None,
default_other_roots: Optional[Mapping[str, str]] = None,
recipes_path: Optional[str] = None,
metadata: Optional[Mapping[str, Any]] = None,
base: Optional[Mapping[str, Any]] = None,
@@ -597,6 +607,15 @@ class SettingsManager:
else:
payload.setdefault("default_embedding_root", "")
if default_other_roots is not None:
payload["default_other_roots"] = self._normalize_default_other_roots(
default_other_roots
)
else:
payload["default_other_roots"] = self._normalize_default_other_roots(
payload.get("default_other_roots", {})
)
if recipes_path is not None:
payload["recipes_path"] = recipes_path
else:
@@ -632,6 +651,35 @@ class SettingsManager:
normalized[key] = cleaned
return normalized
def _normalize_default_other_roots(
self, value: Any, *, strict: bool = False
) -> Dict[str, str]:
"""Normalize a ``default_other_roots`` mapping ({sub_type: root path}).
Unknown sub_type keys and non-string/empty paths are dropped; with
``strict=True`` unknown sub_type keys raise instead (used by ``set()``
so typos in API payloads surface as errors).
"""
if not isinstance(value, Mapping):
if strict and value is not None:
raise ValueError("default_other_roots must be a mapping")
return {}
normalized: Dict[str, str] = {}
for sub_type, path in value.items():
if sub_type not in VALID_OTHER_SUB_TYPES:
if strict:
raise ValueError(
f"Unknown other-model sub-type '{sub_type}'; "
f"expected one of {sorted(VALID_OTHER_SUB_TYPES)}"
)
continue
if not isinstance(path, str):
continue
stripped = path.strip()
if stripped:
normalized[sub_type] = stripped
return normalized
def _has_configured_paths(self, folder_paths: Any) -> bool:
if not isinstance(folder_paths, Mapping):
return False
@@ -744,6 +792,7 @@ class SettingsManager:
default_checkpoint_root: Optional[str] = None,
default_unet_root: Optional[str] = None,
default_embedding_root: Optional[str] = None,
default_other_roots: Optional[Mapping[str, str]] = None,
recipes_path: Optional[str] = None,
) -> bool:
libraries = self.settings.get("libraries", {})
@@ -794,6 +843,14 @@ class SettingsManager:
library["default_embedding_root"] = default_embedding_root
changed = True
if default_other_roots is not None:
normalized_other_roots = self._normalize_default_other_roots(
default_other_roots
)
if library.get("default_other_roots") != normalized_other_roots:
library["default_other_roots"] = normalized_other_roots
changed = True
if recipes_path is not None and library.get("recipes_path") != recipes_path:
library["recipes_path"] = recipes_path
changed = True
@@ -894,12 +951,53 @@ class SettingsManager:
updated = _check_and_auto_set("unet", "default_unet_root") or updated
updated = _check_and_auto_set("embeddings", "default_embedding_root") or updated
# Other-model default roots: one entry per sub_type; candidates are the
# union of that sub_type's folder_paths keys (text_encoder merges the
# legacy 'clip' key with 'text_encoders').
sub_type_folder_keys: Dict[str, List[str]] = {}
for folder_key, sub_type in OTHER_MODEL_FOLDER_SUBTYPES.items():
sub_type_folder_keys.setdefault(sub_type, []).append(folder_key)
other_roots = self._normalize_default_other_roots(
self.settings.get("default_other_roots")
)
for sub_type in VALID_OTHER_SUB_TYPES:
candidates: List[str] = []
candidate_identities: set[str] = set()
for folder_key in sub_type_folder_keys.get(sub_type, []):
for candidate in self._get_valid_root_candidates(folder_key):
identity = _normalize_root_identity(candidate)
if identity in candidate_identities:
continue
candidate_identities.add(identity)
candidates.append(candidate)
if not candidates:
continue
current = other_roots.get(sub_type, "")
if current and _normalize_root_identity(current) in candidate_identities:
continue
other_roots[sub_type] = candidates[0]
if current:
logger.info(
"Repaired stale default_other_roots[%s] from '%s' to '%s' because it is not present in primary or extra roots",
sub_type,
current,
candidates[0],
)
else:
logger.info(
"Auto-set default_other_roots[%s] to '%s'", sub_type, candidates[0]
)
updated = True
if updated:
self.settings["default_other_roots"] = other_roots
self._update_active_library_entry(
default_lora_root=self.settings.get("default_lora_root"),
default_checkpoint_root=self.settings.get("default_checkpoint_root"),
default_unet_root=self.settings.get("default_unet_root"),
default_embedding_root=self.settings.get("default_embedding_root"),
default_other_roots=other_roots,
)
if self._bootstrap_reason == "missing":
self._needs_initial_save = True
@@ -1599,6 +1697,8 @@ class SettingsManager:
value = self.normalize_download_skip_base_models(value)
elif key == "mature_blur_level":
value = self.normalize_mature_blur_level(value)
elif key == "default_other_roots":
value = self._normalize_default_other_roots(value, strict=True)
elif key == "recipes_path":
current_recipes_dir = self._get_effective_recipes_dir()
value = self._normalize_recipes_path_value(value)
@@ -1626,6 +1726,8 @@ class SettingsManager:
self._update_active_library_entry(default_unet_root=str(value))
elif key == "default_embedding_root":
self._update_active_library_entry(default_embedding_root=str(value))
elif key == "default_other_roots":
self._update_active_library_entry(default_other_roots=value)
elif key == "recipes_path":
self._update_active_library_entry(recipes_path=str(value))
elif key == "model_name_display":
@@ -1796,6 +1898,7 @@ class SettingsManager:
"lora_scanner",
"checkpoint_scanner",
"embedding_scanner",
"other_scanner",
"recipe_scanner",
):
service = ServiceRegistry.get_service_sync(service_name)
@@ -1960,6 +2063,7 @@ class SettingsManager:
default_checkpoint_root: Optional[str] = None,
default_unet_root: Optional[str] = None,
default_embedding_root: Optional[str] = None,
default_other_roots: Optional[Mapping[str, str]] = None,
recipes_path: Optional[str] = None,
metadata: Optional[Mapping[str, Any]] = None,
activate: bool = False,
@@ -2004,6 +2108,11 @@ class SettingsManager:
if default_embedding_root is not None
else existing.get("default_embedding_root")
),
default_other_roots=(
default_other_roots
if default_other_roots is not None
else existing.get("default_other_roots")
),
recipes_path=(
recipes_path
if recipes_path is not None
@@ -2036,6 +2145,7 @@ class SettingsManager:
default_checkpoint_root: str = "",
default_unet_root: str = "",
default_embedding_root: str = "",
default_other_roots: Optional[Mapping[str, str]] = None,
recipes_path: str = "",
metadata: Optional[Mapping[str, Any]] = None,
activate: bool = False,
@@ -2054,6 +2164,7 @@ class SettingsManager:
default_checkpoint_root=default_checkpoint_root,
default_unet_root=default_unet_root,
default_embedding_root=default_embedding_root,
default_other_roots=default_other_roots,
recipes_path=recipes_path,
metadata=metadata,
activate=activate,
@@ -2114,6 +2225,7 @@ class SettingsManager:
default_checkpoint_root: Optional[str] = None,
default_unet_root: Optional[str] = None,
default_embedding_root: Optional[str] = None,
default_other_roots: Optional[Mapping[str, str]] = None,
recipes_path: Optional[str] = None,
) -> None:
"""Update folder paths for the active library."""
@@ -2127,6 +2239,7 @@ class SettingsManager:
default_checkpoint_root=default_checkpoint_root,
default_unet_root=default_unet_root,
default_embedding_root=default_embedding_root,
default_other_roots=default_other_roots,
recipes_path=recipes_path,
activate=True,
)
@@ -2151,6 +2264,7 @@ class SettingsManager:
"lora_scanner",
"checkpoint_scanner",
"embedding_scanner",
"other_scanner",
"recipe_scanner",
"model_update_service",
):
+58
View File
@@ -83,6 +83,63 @@ VALID_LORA_SUB_TYPES = ["lora", "locon", "dora"]
VALID_CHECKPOINT_SUB_TYPES = ["checkpoint", "diffusion_model"]
VALID_EMBEDDING_SUB_TYPES = ["embedding"]
# folder_paths key -> sub_type; single source of truth for extensibility.
# Adding support for a new ComfyUI folder category is a one-line change here.
OTHER_MODEL_FOLDER_SUBTYPES = {
"vae": "vae",
"upscale_models": "upscaler",
"text_encoders": "text_encoder",
"clip": "text_encoder", # legacy ComfyUI key
"clip_vision": "clip_vision",
"controlnet": "controlnet",
}
# folder_paths keys scanned by default; anything else in
# OTHER_MODEL_FOLDER_SUBTYPES (e.g. controlnet) is opt-in via the
# "enabled_other_folders" setting.
DEFAULT_OTHER_MODEL_FOLDERS = (
"vae",
"upscale_models",
"text_encoders",
"clip",
"clip_vision",
)
VALID_OTHER_SUB_TYPES = ["vae", "upscaler", "text_encoder", "clip_vision", "controlnet"]
# CivitAI model.type values accepted by the "other" page's fetch-metadata
# validation (lowercased). CLIP/CLIPVision are retired upstream but still
# appear on grandfathered models.
VALID_OTHER_CIVITAI_TYPES = {
"vae",
"upscaler",
"textencoder",
"clip",
"clipvision",
"controlnet",
"other",
}
# CivitAI model.type -> internal sub_type for the "other" model page.
CIVITAI_TYPE_TO_OTHER_SUB_TYPE = {
"vae": "vae",
"upscaler": "upscaler",
"textencoder": "text_encoder",
"clip": "text_encoder",
"clipvision": "clip_vision",
"controlnet": "controlnet",
}
# CivitAI ModelFile.type values -> internal sub_type for the "other" model
# page. Used for download routing only, and strictly as an explicit user file
# pick or a fallback when model.type maps to nothing — checkpoint models
# routinely bundle VAE/Text Encoder component files, so file types must never
# override a mapped model.type.
CIVITAI_FILE_TYPE_TO_OTHER_SUB_TYPE = {
"VAE": "vae",
"Upscaler": "upscaler",
"Text Encoder": "text_encoder",
"Vision Encoder": "clip_vision",
"CLIPVision": "clip_vision",
"ControlNet": "controlnet",
}
# Backward compatibility alias
VALID_LORA_TYPES = VALID_LORA_SUB_TYPES
@@ -91,6 +148,7 @@ CIVITAI_USER_MODEL_TYPES = [
*VALID_LORA_TYPES,
"textualinversion",
"checkpoint",
*sorted(VALID_OTHER_CIVITAI_TYPES),
]
# Default chunk size in megabytes used for hashing large files.
@@ -420,6 +420,10 @@ class DownloadManager:
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
scanners.append(("embedding", embedding_scanner))
if "other" in model_types:
other_scanner = await ServiceRegistry.get_other_scanner()
scanners.append(("other", other_scanner))
# Load progress file to check processed models (async to avoid blocking)
settings_manager = get_settings_manager()
active_library = settings_manager.get_active_library_name()
@@ -600,6 +604,10 @@ class DownloadManager:
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
scanners.append(("embedding", embedding_scanner))
if "other" in model_types:
other_scanner = await ServiceRegistry.get_other_scanner()
scanners.append(("other", other_scanner))
# Get all models
all_models = []
for scanner_type, scanner in scanners:
@@ -1098,6 +1106,10 @@ class DownloadManager:
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
scanners.append(("embedding", embedding_scanner))
if "other" in model_types:
other_scanner = await ServiceRegistry.get_other_scanner()
scanners.append(("other", other_scanner))
# Find the specified models
models_to_process = []
for scanner_type, scanner in scanners:
+56 -1
View File
@@ -2,7 +2,7 @@ from dataclasses import dataclass, asdict, field
from typing import Callable, Dict, Optional, List, Any
from datetime import datetime
import os
from .constants import INVALID_AUTOV3_EMPTY_HASH
from .constants import CIVITAI_TYPE_TO_OTHER_SUB_TYPE, INVALID_AUTOV3_EMPTY_HASH
from .model_utils import determine_base_model
@@ -318,6 +318,61 @@ class CheckpointMetadata(BaseModelMetadata):
)
@dataclass
class OtherModelMetadata(BaseModelMetadata):
"""Represents the metadata structure for an "other" model (VAE, upscaler,
text encoder, CLIP vision, ControlNet, ...).
The sub_type is location-derived: the OtherScanner sets it from the
folder_paths category whose root contains the file. The dataclass default
is only a placeholder.
"""
sub_type: str = "vae" # Placeholder; overridden by the scanner hooks
@classmethod
def from_civitai_info(
cls, version_info: Dict[str, Any], file_info: Dict[str, Any], save_path: str
) -> "OtherModelMetadata":
"""Create OtherModelMetadata instance from Civitai version info"""
file_name = file_info.get("name", "")
base_model = determine_base_model(version_info.get("baseModel", ""))
sha256_value = (file_info.get("hashes") or {}).get("SHA256", "").lower()
# Map the CivitAI model type onto our sub_types; unknown types keep the
# placeholder until the scanner re-derives sub_type from the location.
# The type lives at version["model"]["type"], not version["type"].
civitai_type = str((version_info.get("model") or {}).get("type", "") or "").lower()
sub_type = CIVITAI_TYPE_TO_OTHER_SUB_TYPE.get(civitai_type, "vae")
# Extract tags and description if available
tags = []
description = ""
model_data = version_info.get("model") or {}
if "tags" in model_data:
tags = model_data["tags"]
if "description" in model_data:
description = model_data["description"]
return cls(
file_name=os.path.splitext(file_name)[0],
model_name=model_data.get("name", os.path.splitext(file_name)[0]),
file_path=save_path.replace(os.sep, "/"),
size=file_info.get("sizeKB", 0) * 1024,
modified=datetime.now().timestamp(),
sha256=sha256_value,
base_model=base_model,
preview_url="", # Will be updated after preview download
preview_nsfw_level=0,
from_civitai=True,
civitai=version_info,
sub_type=sub_type,
tags=tags,
modelDescription=description,
# Direct read: the downloaded file IS file_info, no SHA256 matching.
autov3=normalize_autov3((file_info.get("hashes") or {}).get("AutoV3")),
)
@dataclass
class EmbeddingMetadata(BaseModelMetadata):
"""Represents the metadata structure for an Embedding model"""
+13
View File
@@ -17,7 +17,20 @@
"embeddings": [
"C:/path/to/your/embeddings_folder",
"C:/path/to/another/embeddings_folder"
],
"vae": [
"C:/path/to/your/vae_folder"
],
"upscale_models": [
"C:/path/to/your/upscale_models_folder"
],
"text_encoders": [
"C:/path/to/your/text_encoders_folder"
],
"clip_vision": [
"C:/path/to/your/clip_vision_folder"
]
},
"default_other_roots": {},
"auto_organize_exclusions": []
}
+15 -1
View File
@@ -9,7 +9,8 @@ import { state } from '../state/index.js';
export const MODEL_TYPES = {
LORA: 'loras',
CHECKPOINT: 'checkpoints',
EMBEDDING: 'embeddings' // Future model type
EMBEDDING: 'embeddings',
OTHER: 'other'
};
// Base API configuration for each model type
@@ -40,6 +41,15 @@ export const MODEL_CONFIG = {
supportsBulkOperations: true,
supportsMove: true,
templateName: 'embeddings.html'
},
[MODEL_TYPES.OTHER]: {
displayName: 'Other Model',
singularName: 'other',
defaultPageSize: 100,
supportsLetterFilter: false,
supportsBulkOperations: true,
supportsMove: true,
templateName: 'other.html'
}
};
@@ -133,6 +143,10 @@ export const MODEL_SPECIFIC_ENDPOINTS = {
},
[MODEL_TYPES.EMBEDDING]: {
metadata: `/api/lm/${MODEL_TYPES.EMBEDDING}/metadata`,
},
[MODEL_TYPES.OTHER]: {
metadata: `/api/lm/${MODEL_TYPES.OTHER}/metadata`,
roots_by_subtype: `/api/lm/${MODEL_TYPES.OTHER}/roots_by_subtype`,
}
};
+3
View File
@@ -1,6 +1,7 @@
import { LoraApiClient } from './loraApi.js';
import { CheckpointApiClient } from './checkpointApi.js';
import { EmbeddingApiClient } from './embeddingApi.js';
import { OtherApiClient } from './otherApi.js';
import { MODEL_TYPES, isValidModelType } from './apiConfig.js';
import { state } from '../state/index.js';
@@ -12,6 +13,8 @@ export function createModelApiClient(modelType) {
return new CheckpointApiClient(MODEL_TYPES.CHECKPOINT);
case MODEL_TYPES.EMBEDDING:
return new EmbeddingApiClient(MODEL_TYPES.EMBEDDING);
case MODEL_TYPES.OTHER:
return new OtherApiClient(MODEL_TYPES.OTHER);
default:
throw new Error(`Unsupported model type: ${modelType}`);
}
+45
View File
@@ -0,0 +1,45 @@
import { BaseModelApiClient } from './baseModelApi.js';
/**
* Other-models-specific API client (VAE, upscalers, text encoders, etc.)
*/
export class OtherApiClient extends BaseModelApiClient {
/**
* Get other-model roots, optionally narrowed to one sub_type
* (vae/upscaler/text_encoder/clip_vision/controlnet).
*
* Without a sub_type this falls back to the merged roots list
* (GET /api/lm/other/roots); with one it reads the grouped
* roots_by_subtype map and extracts the matching list.
*/
async fetchModelRoots(subType = null) {
if (!subType) {
return super.fetchModelRoots();
}
const data = await this.fetchRootsBySubType();
const groupedRoots = data.roots_by_subtype || {};
return {
success: data.success !== false,
roots: groupedRoots[subType] || [],
};
}
/**
* Get other-model roots grouped by sub_type.
* GET /api/lm/other/roots_by_subtype
* -> { success, roots_by_subtype: {sub_type: [...]} }
*/
async fetchRootsBySubType() {
try {
const response = await fetch(this.apiConfig.endpoints.specific.roots_by_subtype);
if (!response.ok) {
throw new Error('Failed to fetch other-model roots by sub_type');
}
return await response.json();
} catch (error) {
console.error('Error fetching other-model roots by sub_type:', error);
throw error;
}
}
}
@@ -139,8 +139,8 @@ export class BulkContextMenu extends BaseContextMenu {
const downloadExampleImagesSubmenu = this.menu.querySelector('[data-has-submenu="download-example-images"]');
if (downloadExampleImagesSubmenu) {
// Show on model pages (loras, checkpoints, embeddings), hide on recipes
downloadExampleImagesSubmenu.style.display = ['loras', 'checkpoints', 'embeddings'].includes(currentModelType) ? 'flex' : 'none';
// Show on model pages (loras, checkpoints, embeddings, other), hide on recipes
downloadExampleImagesSubmenu.style.display = ['loras', 'checkpoints', 'embeddings', 'other'].includes(currentModelType) ? 'flex' : 'none';
}
const skipMetadataRefreshItem = this.menu.querySelector('[data-action="skip-metadata-refresh"]');
@@ -112,7 +112,8 @@ export const ModelContextMenuMixin = {
const prefixMap = {
lora: 'loras',
checkpoint: 'checkpoints',
embedding: 'embeddings'
embedding: 'embeddings',
other: 'other'
};
return prefixMap[this.modelType] || 'loras';
},
@@ -0,0 +1,72 @@
import { BaseContextMenu } from './BaseContextMenu.js';
import { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
import { moveManager } from '../../managers/MoveManager.js';
import { showDeleteModal, showExcludeModal } from '../../utils/modalUtils.js';
export class OtherContextMenu extends BaseContextMenu {
constructor() {
super('otherContextMenu', '.model-card');
this.nsfwSelector = document.getElementById('nsfwLevelSelector');
this.modelType = 'other';
this.resetAndReload = resetAndReload;
this.initNSFWSelector();
}
// Implementation needed by the mixin
async saveModelMetadata(filePath, data) {
return getModelApiClient().saveModelMetadata(filePath, data);
}
showMenu(x, y, card) {
super.showMenu(x, y, card);
this.updateExcludeMenuItem();
}
handleMenuAction(action) {
// First try to handle with common actions
if (ModelContextMenuMixin.handleCommonMenuActions.call(this, action)) {
return;
}
const apiClient = getModelApiClient();
// Otherwise handle other-models-specific actions
switch(action) {
case 'details':
// Show model details
this.currentCard.click();
break;
case 'replace-preview':
// Add new action for replacing preview images
apiClient.replaceModelPreview(this.currentCard.dataset.filepath);
break;
case 'delete':
showDeleteModal(this.currentCard.dataset.filepath);
break;
case 'copyname':
// Copy model name
if (this.currentCard.querySelector('.fa-copy')) {
this.currentCard.querySelector('.fa-copy').click();
}
break;
case 'refresh-metadata':
// Refresh metadata from CivitAI
apiClient.refreshSingleModelMetadata(this.currentCard.dataset.filepath);
break;
case 'move':
moveManager.showMoveModal(this.currentCard.dataset.filepath);
break;
case 'exclude':
showExcludeModal(this.currentCard.dataset.filepath);
break;
case 'restore':
this.restoreExcludedModel(this.currentCard.dataset.filepath);
break;
}
}
}
// Mix in shared methods
Object.assign(OtherContextMenu.prototype, ModelContextMenuMixin);
@@ -2,6 +2,7 @@ export { LoraContextMenu } from './LoraContextMenu.js';
export { RecipeContextMenu } from './RecipeContextMenu.js';
export { CheckpointContextMenu } from './CheckpointContextMenu.js';
export { EmbeddingContextMenu } from './EmbeddingContextMenu.js';
export { OtherContextMenu } from './OtherContextMenu.js';
export { GlobalContextMenu } from './GlobalContextMenu.js';
export { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
@@ -9,6 +10,7 @@ import { LoraContextMenu } from './LoraContextMenu.js';
import { RecipeContextMenu } from './RecipeContextMenu.js';
import { CheckpointContextMenu } from './CheckpointContextMenu.js';
import { EmbeddingContextMenu } from './EmbeddingContextMenu.js';
import { OtherContextMenu } from './OtherContextMenu.js';
import { GlobalContextMenu } from './GlobalContextMenu.js';
// Factory method to create page-specific context menu instances
@@ -22,6 +24,8 @@ export function createPageContextMenu(pageType) {
return new CheckpointContextMenu();
case 'embeddings':
return new EmbeddingContextMenu();
case 'other':
return new OtherContextMenu();
default:
return null;
}
+1
View File
@@ -32,6 +32,7 @@ export class HeaderManager {
if (path.includes('/loras/recipes')) return 'recipes';
if (path.includes('/checkpoints')) return 'checkpoints';
if (path.includes('/embeddings')) return 'embeddings';
if (path.includes('/other')) return 'other';
if (path.includes('/statistics')) return 'statistics';
if (path.includes('/loras')) return 'loras';
return 'unknown';
+2 -1
View File
@@ -1126,6 +1126,7 @@ export class SidebarManager {
recipes: 'Recipes',
checkpoints: 'Checkpoints',
embeddings: 'Embeddings',
other: 'Other Models',
};
return names[this.pageType] || this.pageType;
}
@@ -1804,7 +1805,7 @@ export class SidebarManager {
_migrateOldSettings() {
if (getStorageItem('_sidebar_migration_done')) return;
const PAGES = ['loras', 'recipes', 'checkpoints', 'embeddings'];
const PAGES = ['loras', 'recipes', 'checkpoints', 'embeddings', 'other'];
// 1. Migrate global hide setting to per-page
if (state?.global?.settings?.show_folder_sidebar === false) {
@@ -0,0 +1,66 @@
// OtherControls.js - Specific implementation for the Other Models page
import { PageControls } from './PageControls.js';
import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
import { showToast } from '../../utils/uiHelpers.js';
import { downloadManager } from '../../managers/DownloadManager.js';
/**
* OtherControls class - Extends PageControls for the Other Models page
* (VAE, upscalers, text encoders, CLIP vision, ControlNet, ...)
*/
export class OtherControls extends PageControls {
constructor() {
// Initialize with 'other' page type
super('other');
// Register API methods specific to the Other Models page
this.registerOtherAPI();
}
/**
* Register Other-models-specific API methods
*/
registerOtherAPI() {
const otherAPI = {
// Core API functions
loadMoreModels: async (resetPage = false, updateFolders = false) => {
return await getModelApiClient().loadMoreWithVirtualScroll(resetPage, updateFolders);
},
resetAndReload: async (updateFolders = false) => {
return await resetAndReload(updateFolders);
},
refreshModels: async (fullRebuild = false) => {
return await getModelApiClient().refreshModels(fullRebuild);
},
// Add fetch from Civitai functionality for other models
fetchFromCivitai: async () => {
return await getModelApiClient().fetchCivitaiMetadata();
},
// Add show download modal functionality
showDownloadModal: () => {
downloadManager.showDownloadModal();
},
toggleBulkMode: () => {
if (window.bulkManager) {
window.bulkManager.toggleBulkMode();
} else {
console.error('Bulk manager not available');
}
},
// No clearCustomFilter implementation is needed for other models
// as custom filters are currently only used for LoRAs
clearCustomFilter: async () => {
showToast('toast.filters.noCustomFilterToClear', {}, 'info');
}
};
// Register the API
this.registerAPI(otherAPI);
}
}
+5 -2
View File
@@ -3,13 +3,14 @@ import { PageControls } from './PageControls.js';
import { LorasControls } from './LorasControls.js';
import { CheckpointsControls } from './CheckpointsControls.js';
import { EmbeddingsControls } from './EmbeddingsControls.js';
import { OtherControls } from './OtherControls.js';
// Export the classes
export { PageControls, LorasControls, CheckpointsControls, EmbeddingsControls };
export { PageControls, LorasControls, CheckpointsControls, EmbeddingsControls, OtherControls };
/**
* Factory function to create the appropriate controls based on page type
* @param {string} pageType - The type of page ('loras', 'checkpoints', or 'embeddings')
* @param {string} pageType - The type of page ('loras', 'checkpoints', 'embeddings', or 'other')
* @returns {PageControls} - The appropriate controls instance
*/
export function createPageControls(pageType) {
@@ -19,6 +20,8 @@ export function createPageControls(pageType) {
return new CheckpointsControls();
} else if (pageType === 'embeddings') {
return new EmbeddingsControls();
} else if (pageType === 'other') {
return new OtherControls();
} else {
console.error(`Unknown page type: ${pageType}`);
return null;
+3
View File
@@ -58,6 +58,8 @@ class InitializationManager {
this.pageType = 'recipes';
} else if (path.includes('/checkpoints')) {
this.pageType = 'checkpoints';
} else if (path.includes('/other')) {
this.pageType = 'other';
} else if (path.includes('/loras')) {
this.pageType = 'loras';
} else if (path.includes('/embeddings')) {
@@ -221,6 +223,7 @@ class InitializationManager {
'lora': 'loras',
'checkpoint': 'checkpoints',
'embedding': 'embeddings',
'other': 'other',
'recipe': 'recipes'
};
+5
View File
@@ -250,6 +250,11 @@ function handleCopyAction(card, modelType) {
const embeddingCode = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
const message = translate('modelCard.actions.embeddingNameCopied', {}, 'Embedding syntax copied');
copyToClipboard(embeddingCode, message);
} else {
// Other model types (VAE, upscalers, ...) - copy the file name
const fileName = card.dataset.file_name;
const message = translate('modelCard.actions.modelNameCopied', {}, 'Model name copied');
copyToClipboard(fileName, message);
}
}
+1 -1
View File
@@ -116,7 +116,7 @@ export class AppCore {
initializePageFeatures() {
const pageType = this.getPageType();
if (['loras', 'recipes', 'checkpoints', 'embeddings'].includes(pageType)) {
if (['loras', 'recipes', 'checkpoints', 'embeddings', 'other'].includes(pageType)) {
this.initializeContextMenus(pageType);
initializeInfiniteScroll(pageType);
}
+4 -2
View File
@@ -424,12 +424,13 @@ class BannerService {
/**
* Get the current page type from the URL
* @returns {string} Page type (loras, checkpoints, embeddings, recipes)
* @returns {string} Page type (loras, checkpoints, embeddings, other, recipes)
*/
getCurrentPageType() {
const path = window.location.pathname;
if (path.includes('/checkpoints')) return 'checkpoints';
if (path.includes('/embeddings')) return 'embeddings';
if (path.includes('/other')) return 'other';
if (path.includes('/recipes')) return 'recipes';
return 'loras';
}
@@ -443,7 +444,8 @@ class BannerService {
const endpoints = {
'loras': '/api/lm/loras/reload?rebuild=true',
'checkpoints': '/api/lm/checkpoints/reload?rebuild=true',
'embeddings': '/api/lm/embeddings/reload?rebuild=true'
'embeddings': '/api/lm/embeddings/reload?rebuild=true',
'other': '/api/lm/other/reload?rebuild=true'
};
return endpoints[pageType] || endpoints['loras'];
}
+14
View File
@@ -93,6 +93,20 @@ export class BulkManager {
setFavorite: true,
unfavorite: true
},
[MODEL_TYPES.OTHER]: {
addTags: true,
sendToWorkflow: false,
copyAll: false,
refreshAll: true,
checkUpdates: true,
moveAll: true,
autoOrganize: true,
deleteAll: true,
setContentRating: true,
skipMetadataRefresh: true,
setFavorite: true,
unfavorite: true
},
recipes: {
addTags: true,
sendToWorkflow: false,
+68 -7
View File
@@ -8,6 +8,7 @@ import { isModelWeightFile } from '../utils/modelFileTypes.js';
import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
import { FolderTreeManager } from '../components/FolderTreeManager.js';
import { translate } from '../utils/i18nHelpers.js';
import { MODEL_SUBTYPE_DISPLAY_NAMES } from '../utils/constants.js';
import { buildCivitaiUrl, extractCivitaiModelUrlParts, normalizeCivitaiPageHost } from '../utils/civitaiUtils.js';
import { formatFileSize } from '../utils/formatters.js';
import { showDownloadBatchSummary } from '../components/DownloadBatchSummaryModal.js';
@@ -956,11 +957,17 @@ export class DownloadManager {
try {
this._isDiffusionModel = await this._resolveIsDiffusionModel();
this._otherSubType = await this._resolveOtherSubType();
let rootsData;
if (this._isDiffusionModel && this.apiClient.modelType === 'checkpoints') {
rootsData = await this.apiClient.fetchModelRoots('diffusion_model');
} else if (this.apiClient.modelType === 'other' && this._otherSubType) {
rootsData = await this.apiClient.fetchModelRoots(this._otherSubType);
} else {
// An undecidable other sub_type (null) intentionally lands
// here: fetchModelRoots() lists all other roots so the user
// can pick manually.
rootsData = await this.apiClient.fetchModelRoots();
}
const modelRoot = document.getElementById('modelRoot');
@@ -968,19 +975,29 @@ export class DownloadManager {
`<option value="${root}">${root}</option>`
).join('');
const singularType = this._isDiffusionModel
? 'unet'
: this.apiClient.modelType.replace(/s$/, '');
const defaultRootKey = `default_${singularType}_root`;
const defaultRoot = state.global.settings[defaultRootKey];
console.log(`Default root for ${singularType}:`, defaultRoot);
let defaultRoot;
let subtypeDisplay;
if (this.apiClient.modelType === 'other') {
const otherDefaultRoots = state.global.settings.default_other_roots || {};
defaultRoot = this._otherSubType ? (otherDefaultRoots[this._otherSubType] || '') : '';
subtypeDisplay = this._otherSubType
? (MODEL_SUBTYPE_DISPLAY_NAMES[this._otherSubType] || this._otherSubType)
: this.apiClient.apiConfig.config.displayName;
} else {
const singularType = this._isDiffusionModel
? 'unet'
: this.apiClient.modelType.replace(/s$/, '');
const defaultRootKey = `default_${singularType}_root`;
defaultRoot = state.global.settings[defaultRootKey];
subtypeDisplay = this._isDiffusionModel ? 'Diffusion Model' : this.apiClient.apiConfig.config.displayName;
}
console.log('Default root:', defaultRoot);
console.log('Available roots:', rootsData.roots);
if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
console.log(`Setting default root: ${defaultRoot}`);
modelRoot.value = defaultRoot;
}
const subtypeDisplay = this._isDiffusionModel ? 'Diffusion Model' : this.apiClient.apiConfig.config.displayName;
document.getElementById('modelRootLabel').textContent =
translate('modals.download.selectTypeRoot', { type: subtypeDisplay });
@@ -1065,6 +1082,50 @@ export class DownloadManager {
return localFileTypeCheck;
}
/**
* Resolve which other-page sub_type (vae/upscaler/text_encoder/
* clip_vision/controlnet) this download routes to. The backend owns the
* routing rule (explicit file pick first, model.type next, file.type
* fallback), so the location step sends both the picked file's type
* (selected_file_type) and the version's full file-type list and lets
* the backend apply its priority chain. Returns null when the sub_type
* cannot be decided; the location step then lists all other roots for
* manual selection instead of guessing a folder.
*/
async _resolveOtherSubType() {
// Only other-page downloads route by sub_type; without version
// metadata (e.g. Hugging Face downloads) there is nothing to route on.
if (this.apiClient.modelType !== 'other'
|| (!this.selectedFile && !this.currentVersion)) {
return null;
}
try {
const fileTypes = (this.currentVersion?.files || []).map(f => f.type);
const response = await fetch(DOWNLOAD_ENDPOINTS.routing, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model_type: 'other',
base_model: this.currentVersion?.baseModel || '',
file_types: fileTypes,
...(this.selectedFile
? { selected_file_type: this.selectedFile.type }
: {}),
}),
});
if (!response.ok) {
throw new Error(`routing endpoint returned ${response.status}`);
}
const data = await response.json();
return data.sub_type || null;
} catch (error) {
console.warn('[download] other routing endpoint unavailable, '
+ 'falling back to manual root selection:', error);
return null;
}
}
loadDefaultPathSetting() {
const modelType = this.apiClient.modelType;
const storageKey = `use_default_path_${modelType}`;
+2 -2
View File
@@ -805,7 +805,7 @@ export class FilterManager {
// Call the appropriate manager's load method based on page type
if (this.currentPage === 'recipes' && window.recipeManager) {
await window.recipeManager.loadRecipes(true);
} else if (this.currentPage === 'loras' || this.currentPage === 'embeddings' || this.currentPage === 'checkpoints') {
} else if (this.currentPage === 'loras' || this.currentPage === 'embeddings' || this.currentPage === 'checkpoints' || this.currentPage === 'other') {
// For models page, reset the page and reload
await getModelApiClient().loadMoreWithVirtualScroll(true, false);
}
@@ -904,7 +904,7 @@ export class FilterManager {
// Reload data using the appropriate method for the current page
if (this.currentPage === 'recipes' && window.recipeManager) {
await window.recipeManager.loadRecipes(true);
} else if (this.currentPage === 'loras' || this.currentPage === 'checkpoints' || this.currentPage === 'embeddings') {
} else if (this.currentPage === 'loras' || this.currentPage === 'checkpoints' || this.currentPage === 'embeddings' || this.currentPage === 'other') {
await getModelApiClient().loadMoreWithVirtualScroll(true, true);
}
+6 -8
View File
@@ -60,7 +60,6 @@ class MoveManager {
this.bulkFilePaths = null;
const apiClient = this._getApiClient(modelType);
const currentPageType = state.currentPageType;
const modelConfig = apiClient.apiConfig.config;
// Handle bulk mode
@@ -113,7 +112,7 @@ class MoveManager {
).join('');
// Set default root if available
const settingsKey = `default_${currentPageType.slice(0, -1)}_root`;
const settingsKey = `default_${modelConfig.singularName}_root`;
const defaultRoot = state.global.settings[settingsKey];
if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
modelRootSelect.value = defaultRoot;
@@ -228,13 +227,12 @@ class MoveManager {
if (modelRoot) {
if (this.useDefaultPath) {
// Show actual template path
try {
const singularType = apiClient.modelType.replace(/s$/, '');
const templates = state.global.settings.download_path_templates;
const template = templates[singularType];
const singularType = config.singularName || apiClient.modelType.replace(/s$/, '');
const templates = state.global.settings.download_path_templates;
const template = templates[singularType];
if (template) {
fullPath += `/${template}`;
} catch (error) {
console.error('Failed to fetch template:', error);
} else {
fullPath += '/' + translate('modals.download.autoOrganizedPath');
}
} else {
+2 -2
View File
@@ -298,7 +298,7 @@ export class SearchManager {
pageState.searchOptions.loraName = options.loraName || false;
pageState.searchOptions.loraModel = options.loraModel || false;
pageState.searchOptions.prompt = options.prompt || false;
} else if (this.currentPage === 'loras' || this.currentPage === 'checkpoints' || this.currentPage === 'embeddings') {
} else if (this.currentPage === 'loras' || this.currentPage === 'checkpoints' || this.currentPage === 'embeddings' || this.currentPage === 'other') {
// Update only the relevant fields in searchOptions instead of replacing the whole object
pageState.searchOptions.filename = options.filename || false;
pageState.searchOptions.modelname = options.modelname || false;
@@ -311,7 +311,7 @@ export class SearchManager {
// Call the appropriate manager's load method based on page type
if (this.currentPage === 'recipes' && window.recipeManager) {
window.recipeManager.loadRecipes(true);
} else if (this.currentPage === 'loras' || this.currentPage === 'embeddings' || this.currentPage === 'checkpoints') {
} else if (this.currentPage === 'loras' || this.currentPage === 'embeddings' || this.currentPage === 'checkpoints' || this.currentPage === 'other') {
// For models page, reset the page and reload
getModelApiClient().loadMoreWithVirtualScroll(true, false);
}
+72
View File
@@ -1153,6 +1153,9 @@ export class SettingsManager {
// Load default unet root
await this.loadUnetRoots();
// Load default other-model roots (per sub_type)
await this.loadOtherRoots();
// Load extra folder paths
this.loadExtraFolderPaths();
@@ -1658,6 +1661,51 @@ export class SettingsManager {
}
}
async loadOtherRoots() {
const selects = document.querySelectorAll('select[data-other-root-subtype]');
if (!selects.length) return;
try {
// Fetch other-model roots grouped by sub_type
const response = await fetch('/api/lm/other/roots_by_subtype');
if (!response.ok) {
throw new Error('Failed to fetch other model roots');
}
const data = await response.json();
const groupedRoots = data.roots_by_subtype || {};
const defaultRoots = state.global.settings.default_other_roots || {};
selects.forEach((select) => {
const subType = select.dataset.otherRootSubtype;
const roots = groupedRoots[subType] || [];
if (!roots.length) {
this.showNoRootsPlaceholder(select);
return;
}
select.innerHTML = '';
select.disabled = false;
// Add options for each root
roots.forEach(root => {
const option = document.createElement('option');
option.value = root;
option.textContent = root;
select.appendChild(option);
});
const defaultRoot = defaultRoots[subType] || '';
select.value = roots.includes(defaultRoot) ? defaultRoot : roots[0];
});
} catch (error) {
console.error('Error loading other model roots:', error);
selects.forEach((select) => this.showNoRootsPlaceholder(select));
showToast('toast.settings.otherRootsFailed', { message: error.message }, 'error');
}
}
async loadEmbeddingRoots() {
const defaultEmbeddingRootSelect = document.getElementById('defaultEmbeddingRoot');
if (!defaultEmbeddingRootSelect) return;
@@ -2339,6 +2387,27 @@ export class SettingsManager {
}
}
/**
* Save one sub_type entry of the default_other_roots dict setting
* (read-modify-write: the backend stores the whole mapping).
*/
async saveOtherRootSetting(subType, value) {
try {
const defaultRoots = { ...(state.global.settings.default_other_roots || {}) };
if (value) {
defaultRoots[subType] = value;
} else {
delete defaultRoots[subType];
}
await this.saveSetting('default_other_roots', defaultRoots);
showToast('toast.settings.settingsUpdated', { setting: `default ${subType} root` }, 'success');
} catch (error) {
showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
}
}
/**
* Save the recipes page layout (grid | masonry) and rebuild the scroller.
* Shared entry point for the settings modal segmented control and the
@@ -3360,6 +3429,9 @@ export class SettingsManager {
} else if (this.currentPage === 'embeddings') {
// Reload the embeddings without updating folders
await resetAndReload(false);
} else if (this.currentPage === 'other') {
// Reload the other models without updating folders
await resetAndReload(false);
}
}
+57
View File
@@ -0,0 +1,57 @@
import { appCore } from './core.js';
import { confirmDelete, closeDeleteModal, confirmExclude, closeExcludeModal } from './utils/modalUtils.js';
import { createPageControls } from './components/controls/index.js';
import { ModelDuplicatesManager } from './components/ModelDuplicatesManager.js';
import { MODEL_TYPES } from './api/apiConfig.js';
import { initActiveFiltersSync } from './utils/activeFiltersSync.js';
// Initialize the Other Models page
class OtherPageManager {
constructor() {
// Initialize page controls
this.pageControls = createPageControls(MODEL_TYPES.OTHER);
// Initialize the ModelDuplicatesManager
this.duplicatesManager = new ModelDuplicatesManager(this, MODEL_TYPES.OTHER);
// Expose only necessary functions to global scope
this._exposeRequiredGlobalFunctions();
}
_exposeRequiredGlobalFunctions() {
// Minimal set of functions that need to remain global
window.confirmDelete = confirmDelete;
window.closeDeleteModal = closeDeleteModal;
window.confirmExclude = confirmExclude;
window.closeExcludeModal = closeExcludeModal;
// Expose duplicates manager
window.modelDuplicatesManager = this.duplicatesManager;
}
async initialize() {
// Initialize common page features (including context menus)
appCore.initializePageFeatures();
// Mirror active filters to the backend for the ComfyUI-side autocomplete
initActiveFiltersSync(MODEL_TYPES.OTHER);
console.log('Other Models Manager initialized');
}
}
async function initializeOtherPage() {
// Initialize core application
await appCore.initialize();
// Initialize other models page
const otherPage = new OtherPageManager();
await otherPage.initialize();
return otherPage;
}
// Initialize everything when DOM is ready
document.addEventListener('DOMContentLoaded', initializeOtherPage);
export { OtherPageManager, initializeOtherPage };
+41
View File
@@ -24,6 +24,7 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
default_lora_root: '',
default_checkpoint_root: '',
default_embedding_root: '',
default_other_roots: {},
recipes_path: '',
base_model_path_mappings: {},
download_path_templates: {},
@@ -72,6 +73,7 @@ export function createDefaultSettings() {
base_model_path_mappings: {},
download_path_templates: { ...DEFAULT_PATH_TEMPLATES },
priority_tags: { ...DEFAULT_PRIORITY_TAG_CONFIG },
default_other_roots: {},
};
}
@@ -79,6 +81,7 @@ export function createDefaultSettings() {
const loraPreviewVersions = getMapFromStorage('loras_preview_versions');
const checkpointPreviewVersions = getMapFromStorage('checkpoints_preview_versions');
const embeddingPreviewVersions = getMapFromStorage('embeddings_preview_versions');
const otherPreviewVersions = getMapFromStorage('other_preview_versions');
export const state = {
// Global state
@@ -234,6 +237,44 @@ export const state = {
search: '',
},
activeViewSnapshot: null,
},
[MODEL_TYPES.OTHER]: {
currentPage: 1,
isLoading: false,
hasMore: true,
sortBy: 'name',
activeFolder: getStorageItem(`${MODEL_TYPES.OTHER}_activeFolder`),
previewVersions: otherPreviewVersions,
searchManager: null,
searchOptions: {
filename: true,
modelname: true,
tags: false,
creator: false,
hash: false,
recursive: getStorageItem(`${MODEL_TYPES.OTHER}_recursiveSearch`, true),
},
filters: {
baseModel: [],
tags: {},
license: {},
modelTypes: [],
search: '',
tagLogic: 'any',
},
bulkMode: false,
selectedModels: new Set(),
metadataCache: new Map(),
showFavoritesOnly: false,
showUpdateAvailableOnly: false,
duplicatesMode: false,
viewMode: 'active',
excludedViewState: {
sortBy: 'name:asc',
search: '',
},
activeViewSnapshot: null,
}
},
+1 -1
View File
@@ -53,7 +53,7 @@ export function syncActiveFilters(pageType) {
* Register the storage listener and push the current (restored) state once.
* The initial push covers server restarts, where the backend store is empty
* until the manager page re-publishes its localStorage-restored filters.
* @param {string} pageType - 'loras' | 'checkpoints' | 'embeddings'
* @param {string} pageType - 'loras' | 'checkpoints' | 'embeddings' | 'other'
*/
export function initActiveFiltersSync(pageType) {
setActiveFiltersListener((changedPageType) => syncActiveFilters(changedPageType));
+11
View File
@@ -106,6 +106,12 @@ export const MODEL_SUBTYPE_DISPLAY_NAMES = {
diffusion_model: "Diffusion Model",
// Embedding sub-types
embedding: "Embedding",
// Other model sub-types
vae: "VAE",
upscaler: "Upscaler",
text_encoder: "Text Encoder",
clip_vision: "CLIP Vision",
controlnet: "ControlNet",
};
// Backward compatibility alias
@@ -119,6 +125,11 @@ export const MODEL_SUBTYPE_ABBREVIATIONS = {
checkpoint: "CKPT",
diffusion_model: "DM",
embedding: "EMB",
vae: "VAE",
upscaler: "UPS",
text_encoder: "TE",
clip_vision: "CV",
controlnet: "CN",
};
export function getSubTypeAbbreviation(subType) {
+1 -1
View File
@@ -66,7 +66,7 @@ async function getCardCreator(pageType) {
// Function to get the appropriate data fetcher based on page type
async function getDataFetcher(pageType) {
if (pageType === 'loras' || pageType === 'embeddings' || pageType === 'checkpoints') {
if (pageType === 'loras' || pageType === 'embeddings' || pageType === 'checkpoints' || pageType === 'other') {
return (page = 1, pageSize = 100) => getModelApiClient().fetchModelsPage(page, pageSize);
} else if (pageType === 'recipes') {
// Import the recipeApi module and use the fetchRecipesPage function
+1 -1
View File
@@ -8,7 +8,7 @@ const STORAGE_PREFIX = 'lora_manager_';
// Matches keys that carry the manager page's active filter state
// (e.g. 'loras_activeFolder', 'checkpoints_filters').
const ACTIVE_FILTER_KEY_PATTERN = /^(loras|checkpoints|embeddings)_(activeFolder|recursiveSearch|filters)$/;
const ACTIVE_FILTER_KEY_PATTERN = /^(loras|checkpoints|embeddings|other)_(activeFolder|recursiveSearch|filters)$/;
let activeFiltersListener = null;
+1 -1
View File
@@ -36,7 +36,7 @@
<option value="size:asc">{{ t('loras.controls.sort.sizeAsc') }}</option>
</optgroup>
{% endif %}
{% if page_id != 'embeddings' and page_id != 'recipes' %}
{% if page_id != 'embeddings' and page_id != 'recipes' and page_id != 'other' %}
<optgroup label="{{ t('loras.controls.sort.usage', default='Usage') }}">
<option value="usage:desc">{{ t('loras.controls.sort.usageDesc', default='Times used (high to low)') }}</option>
<option value="usage:asc">{{ t('loras.controls.sort.usageAsc', default='Times used (low to high)') }}</option>
+8 -2
View File
@@ -15,6 +15,8 @@
{% set current_page = 'checkpoints' %}
{% elif current_path.startswith('/embeddings') %}
{% set current_page = 'embeddings' %}
{% elif current_path.startswith('/other') %}
{% set current_page = 'other' %}
{% elif current_path.startswith('/statistics') %}
{% set current_page = 'statistics' %}
{% else %}
@@ -36,6 +38,10 @@
id="embeddingsNavItem">
<i class="fas fa-code"></i> <span>{{ t('header.navigation.embeddings') }}</span>
</a>
<a href="/other" class="nav-item{% if current_path.startswith('/other') %} active{% endif %}"
id="otherNavItem">
<i class="fas fa-cubes"></i> <span>{{ t('header.navigation.other') }}</span>
</a>
<a href="/statistics" class="nav-item{% if current_path.startswith('/statistics') %} active{% endif %}"
id="statisticsNavItem">
<i class="fas fa-chart-bar"></i> <span>{{ t('header.navigation.statistics') }}</span>
@@ -208,7 +214,7 @@
<div class="search-option-tag active" data-option="tags">{{ t('header.search.filters.tags') }}</div>
<div class="search-option-tag" data-option="creator">{{ t('header.search.filters.creator') }}</div>
<div class="search-option-tag" data-option="hash">{{ t('header.search.filters.hash') }}</div>
{% elif request.path == '/embeddings' %}
{% elif request.path == '/embeddings' or request.path == '/other' %}
<div class="search-option-tag active" data-option="filename">{{ t('header.search.filters.filename') }}</div>
<div class="search-option-tag active" data-option="modelname">{{ t('header.search.filters.modelname') }}</div>
<div class="search-option-tag active" data-option="tags">{{ t('header.search.filters.tags') }}</div>
@@ -295,7 +301,7 @@
</div>
</div>
{% endif %}
{% if current_page == 'loras' or current_page == 'checkpoints' %}
{% if current_page == 'loras' or current_page == 'checkpoints' or current_page == 'other' %}
<div class="filter-section">
<h4>{{ t('header.filter.modelTypes') }}</h4>
<div class="filter-tags" id="modelTypeTags">
@@ -38,6 +38,34 @@
{{ sm.setting_select('defaultUnetRoot', 'default_unet_root', 'settings.folderSettings.defaultUnetRoot', [], 'settings.folderSettings.defaultUnetRootHelp') }}
{{ sm.setting_select('defaultEmbeddingRoot', 'default_embedding_root', 'settings.folderSettings.defaultEmbeddingRoot', [], 'settings.folderSettings.defaultEmbeddingRootHelp') }}
{% set other_root_selects = [
('vae', 'defaultOtherRootVae', 'settings.folderSettings.defaultVaeRoot', 'settings.folderSettings.defaultVaeRootHelp'),
('upscaler', 'defaultOtherRootUpscaler', 'settings.folderSettings.defaultUpscalerRoot', 'settings.folderSettings.defaultUpscalerRootHelp'),
('text_encoder', 'defaultOtherRootTextEncoder', 'settings.folderSettings.defaultTextEncoderRoot', 'settings.folderSettings.defaultTextEncoderRootHelp'),
('clip_vision', 'defaultOtherRootClipVision', 'settings.folderSettings.defaultClipVisionRoot', 'settings.folderSettings.defaultClipVisionRootHelp'),
] %}
{% if 'controlnet' in (settings.get('enabled_other_folders') or []) %}
{% set other_root_selects = other_root_selects + [
('controlnet', 'defaultOtherRootControlnet', 'settings.folderSettings.defaultControlnetRoot', 'settings.folderSettings.defaultControlnetRootHelp'),
] %}
{% endif %}
{% for sub_type, select_id, label_key, help_key in other_root_selects %}
<div class="setting-item">
<div class="setting-row">
<div class="setting-info">
<label for="{{ select_id }}">
{{ t(label_key) }}
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t(help_key) }}"></i>
</label>
</div>
<div class="setting-control select-control">
<select id="{{ select_id }}" data-other-root-subtype="{{ sub_type }}" onchange="settingsManager.saveOtherRootSetting('{{ sub_type }}', this.value)">
</select>
</div>
</div>
</div>
{% endfor %}
</div>
<!-- Recipe Settings -->
+74
View File
@@ -0,0 +1,74 @@
{% extends "base.html" %}
{% block title %}{{ t('other.title') }}{% endblock %}
{% block page_id %}other{% endblock %}
{% block init_title %}{{ t('initialization.other.title') }}{% endblock %}
{% block init_message %}{{ t('initialization.other.message') }}{% endblock %}
{% block init_check_url %}/api/other/list?page=1&page_size=1{% endblock %}
{% block additional_components %}
<div id="otherContextMenu" class="context-menu" style="display: none;">
<!-- Metadata -->
<div class="context-menu-item" data-action="refresh-metadata"><i class="fas fa-sync"></i> {{ t('loras.contextMenu.refreshMetadata') }}</div>
<div class="context-menu-item has-submenu" data-has-submenu="link-model">
<i class="fas fa-link"></i>
<span>{{ t('loras.contextMenu.linkModel') }}</span>
<i class="fas fa-chevron-right submenu-arrow"></i>
<div class="context-submenu">
<div class="context-menu-item" data-action="relink-civitai">
<i class="fas fa-external-link-alt"></i> <span>{{ t('loras.contextMenu.linkCivitai') }}</span>
</div>
<div class="context-menu-item" data-action="link-hf">
<i class="fas fa-robot"></i> <span>{{ t('loras.contextMenu.linkHuggingFace') }}</span>
</div>
</div>
</div>
<div class="context-menu-separator menu-section-break"></div>
<!-- Workflow -->
<div class="context-menu-item" data-action="copyname"><i class="fas fa-copy"></i> {{ t('loras.contextMenu.copyFilename') }}</div>
<div class="context-menu-separator menu-section-break"></div>
<!-- Media / Preview -->
<div class="context-menu-item" data-action="preview"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.openExamples') }}</div>
<div class="context-menu-item has-submenu" data-has-submenu="download-examples"><i class="fas fa-download"></i> {{ t('loras.contextMenu.downloadExamples') }} <i class="fas fa-chevron-right submenu-arrow"></i>
<div class="context-submenu">
<div class="context-menu-item" data-action="download-examples"><i class="fas fa-download"></i> {{ t('loras.contextMenu.downloadMissingExamples') }}</div>
<div class="context-menu-item" data-action="download-examples-force"><i class="fas fa-redo-alt"></i> {{ t('loras.contextMenu.reprocessExamples') }}</div>
</div>
</div>
<div class="context-menu-item" data-action="replace-preview"><i class="fas fa-image"></i> {{ t('loras.contextMenu.replacePreview') }}</div>
<div class="context-menu-separator menu-section-break"></div>
<!-- Attributes -->
<div class="context-menu-item" data-action="set-nsfw"><i class="fas fa-exclamation-triangle"></i> {{ t('loras.contextMenu.setContentRating') }}</div>
<div class="context-menu-separator menu-section-break"></div>
<!-- Organization -->
<div class="context-menu-item" data-action="move"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.moveToFolder') }}</div>
<div class="context-menu-separator"></div>
<!-- Destructive -->
<div class="context-menu-item" data-action="exclude"><i class="fas fa-eye-slash"></i> {{ t('loras.contextMenu.excludeModel') }}</div>
<div class="context-menu-item delete-item" data-action="delete"><i class="fas fa-trash"></i> {{ t('loras.contextMenu.deleteModel') }}</div>
</div>
{% endblock %}
{% block content %}
<div class="sticky-topbar">
{% include 'components/controls.html' %}
{% include 'components/breadcrumb.html' %}
</div>
{% include 'components/duplicates_banner.html' %}
{% include 'components/folder_sidebar.html' %}
<!-- Other model cards container -->
<div class="card-grid" id="modelGrid">
<!-- Cards will be dynamically inserted here -->
</div>
{% endblock %}
{% block overlay %}
<div class="bulk-mode-overlay"></div>
{% endblock %}
{% block main_script %}
<script type="module" src="/loras_static/js/other.js?v={{ version }}"></script>
{% endblock %}
+277
View File
@@ -0,0 +1,277 @@
"""Tests for other-model path handling in py/config.py."""
import logging
import os
import pytest
from py import config as config_module
from py.services.settings_manager import get_settings_manager
def _normalize(path: str) -> str:
return os.path.normpath(path).replace(os.sep, "/")
def _make_config(**overrides) -> config_module.Config:
"""Create a bare Config instance for _prepare_other_paths tests."""
config = config_module.Config.__new__(config_module.Config)
config._path_mappings = {}
config._preview_root_paths = set()
config._cached_fingerprint = None
config.base_models_roots = []
config.embeddings_roots = []
for key, value in overrides.items():
setattr(config, key, value)
return config
class TestPrepareOtherPaths:
"""Unit tests for Config._prepare_other_paths."""
def test_maps_each_folder_key_to_sub_type(self, tmp_path):
roots = {
"vae": tmp_path / "vae",
"upscale_models": tmp_path / "upscale_models",
"text_encoders": tmp_path / "text_encoders",
"clip": tmp_path / "clip",
"clip_vision": tmp_path / "clip_vision",
"controlnet": tmp_path / "controlnet",
}
for root in roots.values():
root.mkdir()
config = _make_config()
unique, sub_type_map, per_key = config._prepare_other_paths(
{key: [str(root)] for key, root in roots.items()}
)
assert len(unique) == 6
assert sub_type_map[_normalize(str(roots["vae"]))] == "vae"
assert sub_type_map[_normalize(str(roots["upscale_models"]))] == "upscaler"
assert sub_type_map[_normalize(str(roots["text_encoders"]))] == "text_encoder"
# Legacy ComfyUI 'clip' key maps to text_encoder as well
assert sub_type_map[_normalize(str(roots["clip"]))] == "text_encoder"
assert sub_type_map[_normalize(str(roots["clip_vision"]))] == "clip_vision"
assert sub_type_map[_normalize(str(roots["controlnet"]))] == "controlnet"
assert per_key["vae"] == [_normalize(str(roots["vae"]))]
assert per_key["controlnet"] == [_normalize(str(roots["controlnet"]))]
def test_missing_or_unknown_keys_are_skipped(self, tmp_path):
vae_root = tmp_path / "vae"
vae_root.mkdir()
config = _make_config()
unique, sub_type_map, per_key = config._prepare_other_paths(
{
"vae": [str(vae_root)],
"does_not_exist_key": [str(tmp_path / "nope_dir")],
"upscale_models": [],
}
)
assert unique == [_normalize(str(vae_root))]
assert set(per_key.keys()) == {"vae"}
def test_nonexistent_paths_are_filtered(self, tmp_path):
config = _make_config()
unique, _, _ = config._prepare_other_paths(
{"vae": [str(tmp_path / "missing_vae")]}
)
assert unique == []
def test_cross_category_overlap_warns_and_keeps_first(
self, tmp_path, caplog
):
"""The same physical folder under two categories warns; first wins."""
shared = tmp_path / "shared"
shared.mkdir()
config = _make_config()
with caplog.at_level(logging.WARNING, logger=config_module.logger.name):
unique, sub_type_map, per_key = config._prepare_other_paths(
{
"vae": [str(shared)],
"upscale_models": [str(shared)],
}
)
assert unique == [_normalize(str(shared))]
assert sub_type_map[_normalize(str(shared))] == "vae"
assert "upscale_models" not in per_key
warnings = [
record.message
for record in caplog.records
if record.levelname == "WARNING"
and "multiple other-model categories" in record.message
]
assert len(warnings) == 1
def test_cross_scanner_overlap_warns_but_keeps_path(self, tmp_path, caplog):
"""An other root overlapping a checkpoint root warns but stays managed."""
shared = tmp_path / "shared_models"
shared.mkdir()
config = _make_config(base_models_roots=[_normalize(str(shared))])
with caplog.at_level(logging.WARNING, logger=config_module.logger.name):
unique, sub_type_map, _ = config._prepare_other_paths(
{"vae": [str(shared)]}
)
# Kept on purpose: dropping would silently unmanage the files
assert unique == [_normalize(str(shared))]
assert sub_type_map[_normalize(str(shared))] == "vae"
warnings = [
record.message
for record in caplog.records
if record.levelname == "WARNING"
and "overlaps an existing checkpoints/embeddings root" in record.message
]
assert len(warnings) == 1
def test_no_warning_for_disjoint_roots(self, tmp_path, caplog):
checkpoints_root = tmp_path / "checkpoints"
checkpoints_root.mkdir()
vae_root = tmp_path / "vae"
vae_root.mkdir()
config = _make_config(base_models_roots=[_normalize(str(checkpoints_root))])
with caplog.at_level(logging.WARNING, logger=config_module.logger.name):
unique, _, _ = config._prepare_other_paths({"vae": [str(vae_root)]})
assert unique == [_normalize(str(vae_root))]
warnings = [
record.message
for record in caplog.records
if record.levelname == "WARNING" and "overlap" in record.message.lower()
]
assert warnings == []
class TestInitOtherPaths:
"""Config._init_other_paths with mocked folder_paths (plugin + standalone modes).
Config only depends on ``folder_paths.get_folder_paths(key)``: ComfyUI in
plugin mode, or MockFolderPaths serving ``settings.json.folder_paths`` in
standalone mode. A dict-backed stub therefore covers both.
"""
def _stub_folder_paths(self, monkeypatch, mapping):
def get_folder_paths(key):
value = mapping.get(key, [])
return [value] if isinstance(value, str) else list(value)
monkeypatch.setattr(
config_module.folder_paths, "get_folder_paths", get_folder_paths
)
def test_default_enabled_keys_exclude_controlnet(self, monkeypatch, tmp_path):
dirs = {}
for key in (
"vae",
"upscale_models",
"text_encoders",
"clip",
"clip_vision",
"controlnet",
):
path = tmp_path / key
path.mkdir()
dirs[key] = str(path)
self._stub_folder_paths(monkeypatch, dirs)
config = _make_config()
roots = config._init_other_paths()
assert _normalize(dirs["controlnet"]) not in roots
assert _normalize(dirs["controlnet"]) not in config.other_root_subtypes
for key in ("vae", "upscale_models", "text_encoders", "clip", "clip_vision"):
assert _normalize(dirs[key]) in roots
def test_controlnet_opt_in_via_setting(self, monkeypatch, tmp_path):
controlnet_dir = tmp_path / "controlnet"
controlnet_dir.mkdir()
self._stub_folder_paths(monkeypatch, {"controlnet": str(controlnet_dir)})
get_settings_manager().set("enabled_other_folders", ["controlnet"])
config = _make_config()
roots = config._init_other_paths()
assert _normalize(str(controlnet_dir)) in roots
assert (
config.other_root_subtypes[_normalize(str(controlnet_dir))]
== "controlnet"
)
def test_unknown_opt_in_keys_are_ignored(self, monkeypatch, tmp_path):
vae_dir = tmp_path / "vae"
vae_dir.mkdir()
self._stub_folder_paths(monkeypatch, {"vae": str(vae_dir)})
get_settings_manager().set("enabled_other_folders", ["not_a_real_key", 42])
config = _make_config()
roots = config._init_other_paths()
assert roots == [_normalize(str(vae_dir))]
def test_apply_library_paths_picks_up_other_keys(self, monkeypatch, tmp_path):
vae_dir = tmp_path / "vae"
vae_dir.mkdir()
config = _make_config()
monkeypatch.setattr(config, "_initialize_symlink_mappings", lambda: None)
config._apply_library_paths(
{
"loras": [],
"checkpoints": [],
"unet": [],
"embeddings": [],
"vae": [str(vae_dir)],
}
)
assert config.other_roots == [_normalize(str(vae_dir))]
assert config.other_root_subtypes == {
_normalize(str(vae_dir)): "vae"
}
assert config.other_folder_roots == {"vae": [_normalize(str(vae_dir))]}
class TestOtherRootsWiring:
"""other_roots participates in symlink and preview root bookkeeping."""
def test_symlink_roots_include_other_roots(self):
config = _make_config()
config.loras_roots = ["/loras"]
config.embeddings_roots = ["/embeddings"]
config.other_roots = ["/vae"]
config.extra_loras_roots = []
config.extra_checkpoints_roots = []
config.extra_unet_roots = []
config.extra_embeddings_roots = []
assert "/vae" in config._symlink_roots()
def test_preview_roots_include_other_roots(self, tmp_path):
vae_dir = tmp_path / "vae"
vae_dir.mkdir()
config = _make_config()
config.loras_roots = []
config.embeddings_roots = []
config.other_roots = [_normalize(str(vae_dir))]
config.extra_loras_roots = []
config.extra_checkpoints_roots = []
config.extra_unet_roots = []
config.extra_embeddings_roots = []
config.recipes_path = ""
config._rebuild_preview_roots()
assert config.is_preview_path_allowed(str(vae_dir / "model.preview.png"))
+85
View File
@@ -0,0 +1,85 @@
import { describe, it, expect } from 'vitest';
// Import order matters: api modules are circularly dependent
// (modelApiFactory -> loraApi -> baseModelApi -> modelApiFactory/state).
// Loading the factory first lets baseModelApi fully evaluate before the
// client subclasses extend it.
import { createModelApiClient, getModelApiClient } from '../../../static/js/api/modelApiFactory.js';
import {
MODEL_TYPES,
MODEL_CONFIG,
getApiEndpoints,
getCompleteApiConfig,
isValidModelType,
} from '../../../static/js/api/apiConfig.js';
import { OtherApiClient } from '../../../static/js/api/otherApi.js';
describe('apiConfig - other model type', () => {
it('exposes OTHER model type', () => {
expect(MODEL_TYPES.OTHER).toBe('other');
expect(isValidModelType('other')).toBe(true);
});
it('has a complete MODEL_CONFIG entry', () => {
const config = MODEL_CONFIG[MODEL_TYPES.OTHER];
expect(config).toBeDefined();
expect(config.singularName).toBe('other');
expect(config.supportsLetterFilter).toBe(false);
expect(config.supportsBulkOperations).toBe(true);
expect(config.supportsMove).toBe(true);
expect(config.templateName).toBe('other.html');
});
it('generates /api/lm/other/* endpoints', () => {
const endpoints = getApiEndpoints('other');
expect(endpoints.list).toBe('/api/lm/other/list');
expect(endpoints.delete).toBe('/api/lm/other/delete');
expect(endpoints.exclude).toBe('/api/lm/other/exclude');
expect(endpoints.unexclude).toBe('/api/lm/other/unexclude');
expect(endpoints.rename).toBe('/api/lm/other/rename');
expect(endpoints.save).toBe('/api/lm/other/save-metadata');
expect(endpoints.bulkDelete).toBe('/api/lm/other/bulk-delete');
expect(endpoints.moveModel).toBe('/api/lm/other/move_model');
expect(endpoints.moveBulk).toBe('/api/lm/other/move_models_bulk');
expect(endpoints.fetchCivitai).toBe('/api/lm/other/fetch-civitai');
expect(endpoints.fetchAllCivitai).toBe('/api/lm/other/fetch-all-civitai');
expect(endpoints.scan).toBe('/api/lm/other/scan');
expect(endpoints.topTags).toBe('/api/lm/other/top-tags');
expect(endpoints.baseModels).toBe('/api/lm/other/base-models');
expect(endpoints.roots).toBe('/api/lm/other/roots');
expect(endpoints.folders).toBe('/api/lm/other/folders');
expect(endpoints.duplicates).toBe('/api/lm/other/find-duplicates');
expect(endpoints.replacePreview).toBe('/api/lm/other/replace-preview');
});
it('merges other-specific endpoints into the complete config', () => {
const config = getCompleteApiConfig('other');
expect(config.modelType).toBe('other');
expect(config.config).toBe(MODEL_CONFIG.other);
expect(config.endpoints.specific.metadata).toBe('/api/lm/other/metadata');
});
});
describe('modelApiFactory - other model type', () => {
it('creates an OtherApiClient for the other model type', () => {
const client = createModelApiClient(MODEL_TYPES.OTHER);
expect(client).toBeInstanceOf(OtherApiClient);
expect(client.modelType).toBe('other');
expect(client.apiConfig.endpoints.list).toBe('/api/lm/other/list');
});
it('returns a cached singleton from getModelApiClient', () => {
const first = getModelApiClient(MODEL_TYPES.OTHER);
const second = getModelApiClient(MODEL_TYPES.OTHER);
expect(first).toBeInstanceOf(OtherApiClient);
expect(second).toBe(first);
});
it('still rejects unsupported model types', () => {
expect(() => createModelApiClient('bogus')).toThrow('Unsupported model type: bogus');
});
});
@@ -0,0 +1,128 @@
import { describe, it, expect, vi, beforeEach } from 'vitest';
const {
MODEL_CARD_MODULE,
STATE_MODULE,
UI_HELPERS_MODULE,
I18N_MODULE,
API_CONFIG_MODULE,
API_FACTORY_MODULE,
} = vi.hoisted(() => ({
MODEL_CARD_MODULE: new URL('../../../static/js/components/shared/ModelCard.js', import.meta.url).pathname,
STATE_MODULE: new URL('../../../static/js/state/index.js', import.meta.url).pathname,
UI_HELPERS_MODULE: new URL('../../../static/js/utils/uiHelpers.js', import.meta.url).pathname,
I18N_MODULE: new URL('../../../static/js/utils/i18nHelpers.js', import.meta.url).pathname,
API_CONFIG_MODULE: new URL('../../../static/js/api/apiConfig.js', import.meta.url).pathname,
API_FACTORY_MODULE: new URL('../../../static/js/api/modelApiFactory.js', import.meta.url).pathname,
}));
vi.mock(STATE_MODULE, () => ({
state: {
settings: {
blur_mature_content: false,
model_name_display: 'model_name',
},
global: {
settings: {
model_name_display: 'model_name',
group_by_model: false,
display_density: 'default',
model_card_footer_action: 'example_images',
},
},
pages: {
other: {
previewVersions: new Map(),
sortBy: 'name',
},
},
bulkMode: false,
selectedModels: new Set(),
selectedLoras: new Set(),
},
getCurrentPageState: vi.fn(() => ({
sortBy: 'name',
previewVersions: new Map(),
})),
}));
vi.mock(UI_HELPERS_MODULE, () => ({
showToast: vi.fn(),
openCivitai: vi.fn(),
openHuggingFace: vi.fn(),
copyToClipboard: vi.fn(),
copyLoraSyntax: vi.fn(),
sendLoraToWorkflow: vi.fn(),
sendEmbeddingToWorkflow: vi.fn(),
openExampleImagesFolder: vi.fn(),
buildLoraSyntax: vi.fn(),
sendModelPathToWorkflow: vi.fn(),
}));
vi.mock(I18N_MODULE, () => ({
translate: vi.fn((key, params, fallback) => (typeof fallback === 'string' ? fallback : key)),
}));
vi.mock(API_CONFIG_MODULE, () => ({
MODEL_TYPES: { LORA: 'loras', CHECKPOINT: 'checkpoints', EMBEDDING: 'embeddings', OTHER: 'other' },
}));
vi.mock(API_FACTORY_MODULE, () => ({
getModelApiClient: vi.fn(() => ({})),
}));
function createOtherModel(overrides = {}) {
return {
sha256: 'abc123',
file_path: '/models/vae/test_vae.safetensors',
model_name: 'Test VAE',
file_name: 'test_vae',
folder: 'vae',
modified: 1234567890,
file_size: 1024,
notes: '',
base_model: '',
favorite: false,
exclude: false,
hf_url: '',
update_available: false,
skip_metadata_refresh: false,
preview_url: '',
preview_nsfw_level: 0,
tags: [],
civitai: {},
sub_type: 'vae',
...overrides,
};
}
describe('ModelCard sub-type badges for other model types', () => {
let createModelCard;
beforeEach(async () => {
({ createModelCard } = await import(MODEL_CARD_MODULE));
});
it.each([
['vae', 'VAE', 'VAE'],
['upscaler', 'UPS', 'Upscaler'],
['text_encoder', 'TE', 'Text Encoder'],
['clip_vision', 'CV', 'CLIP Vision'],
['controlnet', 'CN', 'ControlNet'],
])('renders the %s badge abbreviation and tooltip', (subType, abbreviation, displayName) => {
const card = createModelCard(createOtherModel({ sub_type: subType }), 'other');
const badge = card.querySelector('.model-sub-type');
expect(badge).not.toBeNull();
expect(badge.textContent).toBe(abbreviation);
const label = card.querySelector('.base-model-label');
expect(label.getAttribute('title')).toContain(displayName);
});
it('stores sub_type on the card dataset', () => {
const card = createModelCard(createOtherModel({ sub_type: 'text_encoder' }), 'other');
expect(card.dataset.sub_type).toBe('text_encoder');
});
});
@@ -0,0 +1,159 @@
import { describe, it, beforeEach, afterEach, expect, vi } from 'vitest';
const {
getModelApiClientMock,
resetAndReloadMock,
showToastMock,
sidebarManagerMock,
moveManagerMock,
showDeleteModalMock,
showExcludeModalMock,
} = vi.hoisted(() => ({
getModelApiClientMock: vi.fn(),
resetAndReloadMock: vi.fn(async () => {}),
showToastMock: vi.fn(),
sidebarManagerMock: {
setHostPageControls: vi.fn(),
initialize: vi.fn(async function () {
sidebarManagerMock.isInitialized = true;
}),
refresh: vi.fn(async () => {}),
cleanup: vi.fn(),
isInitialized: false,
},
moveManagerMock: {
showMoveModal: vi.fn(),
},
showDeleteModalMock: vi.fn(),
showExcludeModalMock: vi.fn(),
}));
vi.mock('../../../static/js/api/modelApiFactory.js', () => ({
getModelApiClient: getModelApiClientMock,
resetAndReload: resetAndReloadMock,
}));
vi.mock('../../../static/js/utils/uiHelpers.js', () => ({
showToast: showToastMock,
openCivitaiByMetadata: vi.fn(),
isTypingContext: () => false,
getNSFWLevelName: vi.fn(() => 'Unknown'),
openExampleImagesFolder: vi.fn(),
}));
vi.mock('../../../static/js/managers/DownloadManager.js', () => ({
downloadManager: { showDownloadModal: vi.fn() },
}));
vi.mock('../../../static/js/components/SidebarManager.js', () => ({
sidebarManager: sidebarManagerMock,
}));
vi.mock('../../../static/js/managers/MoveManager.js', () => ({
moveManager: moveManagerMock,
}));
vi.mock('../../../static/js/utils/modalUtils.js', () => ({
showDeleteModal: showDeleteModalMock,
showExcludeModal: showExcludeModalMock,
}));
vi.mock('../../../static/js/components/alphabet/index.js', () => ({
createAlphabetBar: vi.fn(() => ({ destroy: vi.fn() })),
}));
vi.mock('../../../static/js/utils/updateCheckHelpers.js', () => ({
performModelUpdateCheck: vi.fn(async () => ({ status: 'success', displayName: 'Model', records: [] })),
}));
import { createPageControls } from '../../../static/js/components/controls/index.js';
import { OtherControls } from '../../../static/js/components/controls/OtherControls.js';
import { createPageContextMenu } from '../../../static/js/components/ContextMenu/index.js';
import { OtherContextMenu } from '../../../static/js/components/ContextMenu/OtherContextMenu.js';
describe('createPageControls', () => {
beforeEach(() => {
vi.clearAllMocks();
localStorage.clear();
sessionStorage.clear();
document.body.innerHTML = '';
document.body.dataset.page = 'other';
sidebarManagerMock.isInitialized = false;
});
afterEach(() => {
delete window.pageControls;
delete window.bulkManager;
});
it('creates OtherControls for the other page type', () => {
const controls = createPageControls('other');
expect(controls).toBeInstanceOf(OtherControls);
expect(controls.pageType).toBe('other');
// OtherControls registers its API with the base class
expect(typeof controls.api.loadMoreModels).toBe('function');
expect(typeof controls.api.refreshModels).toBe('function');
expect(typeof controls.api.fetchFromCivitai).toBe('function');
expect(typeof controls.api.toggleBulkMode).toBe('function');
});
it('returns null for an unknown page type', () => {
expect(createPageControls('not-a-page')).toBeNull();
});
});
describe('createPageContextMenu', () => {
beforeEach(() => {
vi.clearAllMocks();
document.body.innerHTML = '<div id="otherContextMenu" class="context-menu" style="display: none;"></div>';
});
function createMenuWithCard() {
const menu = createPageContextMenu('other');
const card = document.createElement('div');
card.className = 'model-card';
card.dataset.filepath = '/models/vae/test.safetensors';
document.body.appendChild(card);
menu.currentCard = card;
return { menu, card };
}
it('creates OtherContextMenu for the other page type', () => {
const menu = createPageContextMenu('other');
expect(menu).toBeInstanceOf(OtherContextMenu);
expect(menu.modelType).toBe('other');
expect(menu.menu).toBe(document.getElementById('otherContextMenu'));
});
it('returns null for an unknown page type', () => {
expect(createPageContextMenu('not-a-page')).toBeNull();
});
it('delegates refresh-metadata to the model API client', () => {
const refreshSingleModelMetadata = vi.fn();
getModelApiClientMock.mockReturnValue({ refreshSingleModelMetadata });
const { menu } = createMenuWithCard();
menu.handleMenuAction('refresh-metadata');
expect(refreshSingleModelMetadata).toHaveBeenCalledWith('/models/vae/test.safetensors');
});
it('opens the move modal for the move action', () => {
const { menu } = createMenuWithCard();
menu.handleMenuAction('move');
expect(moveManagerMock.showMoveModal).toHaveBeenCalledWith('/models/vae/test.safetensors');
});
it('shows the exclude modal for the exclude action', () => {
const { menu } = createMenuWithCard();
menu.handleMenuAction('exclude');
expect(showExcludeModalMock).toHaveBeenCalledWith('/models/vae/test.safetensors');
});
});
+1 -1
View File
@@ -120,7 +120,7 @@ import { initializeEventManagement } from '../../../static/js/utils/eventManagem
import { initializeInfiniteScroll } from '../../../static/js/utils/infiniteScroll.js';
import { createPageContextMenu, createGlobalContextMenu } from '../../../static/js/components/ContextMenu/index.js';
const SUPPORTED_PAGES = ['loras', 'recipes', 'checkpoints', 'embeddings'];
const SUPPORTED_PAGES = ['loras', 'recipes', 'checkpoints', 'embeddings', 'other'];
describe('AppCore page orchestration', () => {
beforeEach(() => {
@@ -56,6 +56,7 @@ vi.mock(SUMMARY_MODULE, () => ({
}));
const { DownloadManager } = await import(DOWNLOAD_MANAGER_MODULE);
const { state } = await import(STATE_MODULE);
describe('DownloadManager._resolveIsDiffusionModel', () => {
let manager;
@@ -144,3 +145,185 @@ describe('DownloadManager._resolveIsDiffusionModel', () => {
expect(fetchMock).not.toHaveBeenCalled();
});
});
describe('DownloadManager._resolveOtherSubType', () => {
let manager;
let fetchMock;
beforeEach(() => {
manager = new DownloadManager();
manager.apiClient = { modelType: 'other' };
manager.selectedFile = null;
manager.selectedFiles = [];
manager.currentVersion = null;
fetchMock = vi.fn();
vi.stubGlobal('fetch', fetchMock);
});
afterEach(() => {
vi.unstubAllGlobals();
});
function mockRoutingResponse(data, ok = true) {
fetchMock.mockResolvedValue({
ok,
status: ok ? 200 : 500,
json: async () => data,
});
}
it('returns the backend sub_type for other downloads', async () => {
manager.currentVersion = { baseModel: 'Flux.1 D', files: [{ type: 'VAE' }] };
mockRoutingResponse({ success: true, root_kind: 'other', sub_type: 'vae' });
expect(await manager._resolveOtherSubType()).toBe('vae');
expect(fetchMock).toHaveBeenCalledWith('/api/lm/download/routing', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model_type: 'other',
base_model: 'Flux.1 D',
file_types: ['VAE'],
}),
});
});
it('sends selected_file_type plus all version file types when a file is selected', async () => {
manager.currentVersion = { baseModel: 'Flux.1 D', files: [{ type: 'Model' }, { type: 'VAE' }] };
manager.selectedFile = { type: 'VAE' };
mockRoutingResponse({ success: true, root_kind: 'other', sub_type: 'vae' });
expect(await manager._resolveOtherSubType()).toBe('vae');
const body = JSON.parse(fetchMock.mock.calls[0][1].body);
expect(body.selected_file_type).toBe('VAE');
expect(body.file_types).toEqual(['Model', 'VAE']);
});
it('omits selected_file_type when no file is selected', async () => {
manager.currentVersion = { baseModel: 'Flux.1 D', files: [{ type: 'Model' }, { type: 'VAE' }] };
mockRoutingResponse({ success: true, root_kind: 'other', sub_type: 'vae' });
await manager._resolveOtherSubType();
const body = JSON.parse(fetchMock.mock.calls[0][1].body);
expect('selected_file_type' in body).toBe(false);
expect(body.file_types).toEqual(['Model', 'VAE']);
});
it('returns null when the backend cannot decide a sub_type', async () => {
manager.currentVersion = { baseModel: 'SDXL 1.0', files: [{ type: 'Model' }] };
mockRoutingResponse({ success: true, root_kind: 'other', sub_type: null });
expect(await manager._resolveOtherSubType()).toBeNull();
});
it('returns null when the endpoint fails', async () => {
manager.currentVersion = { baseModel: 'SDXL 1.0', files: [{ type: 'VAE' }] };
fetchMock.mockRejectedValue(new Error('network down'));
expect(await manager._resolveOtherSubType()).toBeNull();
});
it('returns null on a non-ok response', async () => {
manager.currentVersion = { baseModel: 'SDXL 1.0', files: [{ type: 'VAE' }] };
mockRoutingResponse({}, false);
expect(await manager._resolveOtherSubType()).toBeNull();
});
it('never calls the endpoint for non-other pages', async () => {
manager.apiClient = { modelType: 'loras' };
manager.currentVersion = { baseModel: 'SDXL 1.0', files: [{ type: 'VAE' }] };
expect(await manager._resolveOtherSubType()).toBeNull();
expect(fetchMock).not.toHaveBeenCalled();
});
it('never calls the endpoint without version metadata (e.g. Hugging Face)', async () => {
expect(await manager._resolveOtherSubType()).toBeNull();
expect(fetchMock).not.toHaveBeenCalled();
});
});
describe('DownloadManager.proceedToLocationContent (other page)', () => {
let manager;
beforeEach(() => {
document.body.innerHTML = `
<select id="modelRoot"></select>
<label id="modelRootLabel"></label>
<input id="folderPath" />
`;
state.global.settings = {};
manager = new DownloadManager();
manager.apiClient = {
modelType: 'other',
apiConfig: { config: { displayName: 'Other Model' } },
fetchModelRoots: vi.fn(),
};
manager.selectedFile = null;
manager.selectedFiles = [];
manager.currentVersion = { baseModel: 'Flux.1 D', files: [{ type: 'VAE' }] };
manager.initializeFolderTree = vi.fn().mockResolvedValue();
manager.folderTreeManager = { init: vi.fn() };
manager.loadDefaultPathSetting = vi.fn();
manager.updateTargetPath = vi.fn();
vi.spyOn(manager, '_resolveIsDiffusionModel').mockResolvedValue(false);
});
it('fetches sub_type roots and preselects the configured default root', async () => {
vi.spyOn(manager, '_resolveOtherSubType').mockResolvedValue('vae');
manager.apiClient.fetchModelRoots.mockResolvedValue({
success: true,
roots: ['/models/vae-a', '/models/vae-b'],
});
state.global.settings.default_other_roots = { vae: '/models/vae-b' };
await manager.proceedToLocationContent();
expect(manager.apiClient.fetchModelRoots).toHaveBeenCalledWith('vae');
const modelRoot = document.getElementById('modelRoot');
expect(Array.from(modelRoot.options).map(o => o.value)).toEqual([
'/models/vae-a',
'/models/vae-b',
]);
expect(modelRoot.value).toBe('/models/vae-b');
});
it('lists all other roots for manual selection when the sub_type is undecidable', async () => {
vi.spyOn(manager, '_resolveOtherSubType').mockResolvedValue(null);
manager.apiClient.fetchModelRoots.mockResolvedValue({
success: true,
roots: ['/models/vae', '/models/upscale'],
});
state.global.settings.default_other_roots = { vae: '/models/upscale' };
await manager.proceedToLocationContent();
// No argument: the merged /api/lm/other/roots list
expect(manager.apiClient.fetchModelRoots).toHaveBeenCalledWith();
const modelRoot = document.getElementById('modelRoot');
expect(Array.from(modelRoot.options).map(o => o.value)).toEqual([
'/models/vae',
'/models/upscale',
]);
// Without a resolved sub_type no default_other_roots entry applies,
// so the first option stays selected even though a vae default exists.
expect(modelRoot.value).toBe('/models/vae');
});
it('leaves the first root selected when no default is configured for the sub_type', async () => {
vi.spyOn(manager, '_resolveOtherSubType').mockResolvedValue('upscaler');
manager.apiClient.fetchModelRoots.mockResolvedValue({
success: true,
roots: ['/models/upscale'],
});
state.global.settings.default_other_roots = { vae: '/models/vae-a' };
await manager.proceedToLocationContent();
expect(manager.apiClient.fetchModelRoots).toHaveBeenCalledWith('upscaler');
expect(document.getElementById('modelRoot').value).toBe('/models/upscale');
});
});
@@ -24,6 +24,7 @@ vi.mock('../../../static/js/state/index.js', () => {
},
createDefaultSettings: () => ({
language: 'en',
default_other_roots: {},
}),
};
});
@@ -502,6 +503,182 @@ describe('SettingsManager library controls', () => {
});
});
describe('SettingsManager other-model root selects', () => {
const appendOtherRootSelects = (...subTypes) => {
const selects = {};
subTypes.forEach((subType) => {
const select = document.createElement('select');
select.dataset.otherRootSubtype = subType;
document.body.appendChild(select);
selects[subType] = select;
});
return selects;
};
describe('loadOtherRoots', () => {
it('populates each sub_type select from the grouped roots and preselects defaults', async () => {
const manager = createManager();
const selects = appendOtherRootSelects('vae', 'upscaler');
selects.vae.disabled = true;
state.global.settings = {
default_other_roots: { vae: '/models/vae-b' },
};
global.fetch = vi.fn().mockResolvedValue({
ok: true,
json: async () => ({
success: true,
roots_by_subtype: {
vae: ['/models/vae-a', '/models/vae-b'],
upscaler: ['/models/upscale'],
},
}),
});
await manager.loadOtherRoots();
expect(global.fetch).toHaveBeenCalledWith('/api/lm/other/roots_by_subtype');
expect(Array.from(selects.vae.options).map(o => o.value)).toEqual([
'/models/vae-a',
'/models/vae-b',
]);
expect(selects.vae.value).toBe('/models/vae-b');
expect(selects.vae.disabled).toBe(false);
expect(Array.from(selects.upscaler.options).map(o => o.value)).toEqual([
'/models/upscale',
]);
// No configured default: first root wins
expect(selects.upscaler.value).toBe('/models/upscale');
expect(showToast).not.toHaveBeenCalled();
});
it('shows a placeholder on selects whose sub_type has no roots', async () => {
const manager = createManager();
const selects = appendOtherRootSelects('vae', 'controlnet');
global.fetch = vi.fn().mockResolvedValue({
ok: true,
json: async () => ({
success: true,
roots_by_subtype: { vae: ['/models/vae-a'] },
}),
});
await manager.loadOtherRoots();
expect(selects.controlnet.options).toHaveLength(1);
expect(selects.controlnet.options[0].value).toBe('');
expect(selects.controlnet.options[0].textContent).toBe('No Default');
expect(selects.controlnet.disabled).toBe(true);
expect(selects.vae.disabled).toBe(false);
expect(showToast).not.toHaveBeenCalled();
});
it('shows an error toast and placeholders when the request fails', async () => {
const manager = createManager();
const selects = appendOtherRootSelects('vae', 'upscaler');
global.fetch = vi.fn().mockResolvedValue({
ok: false,
status: 500,
});
await manager.loadOtherRoots();
expect(selects.vae.disabled).toBe(true);
expect(selects.upscaler.disabled).toBe(true);
expect(showToast).toHaveBeenCalledWith(
'toast.settings.otherRootsFailed',
expect.objectContaining({ message: expect.any(String) }),
'error',
);
});
it('does not call the API when no sub_type selects exist', async () => {
const manager = createManager();
global.fetch = vi.fn();
await manager.loadOtherRoots();
expect(global.fetch).not.toHaveBeenCalled();
});
});
describe('saveOtherRootSetting', () => {
it('read-modify-writes the default_other_roots dict and posts it whole', async () => {
const manager = createManager();
state.global.settings = {
default_other_roots: { vae: '/models/vae-a' },
};
global.fetch = vi.fn().mockResolvedValue({
ok: true,
json: async () => ({ success: true }),
});
await manager.saveOtherRootSetting('upscaler', '/models/upscale');
expect(state.global.settings.default_other_roots).toEqual({
vae: '/models/vae-a',
upscaler: '/models/upscale',
});
expect(global.fetch).toHaveBeenCalledWith('/api/lm/settings', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
default_other_roots: {
vae: '/models/vae-a',
upscaler: '/models/upscale',
},
}),
});
expect(showToast).toHaveBeenCalledWith(
'toast.settings.settingsUpdated',
expect.objectContaining({ setting: expect.any(String) }),
'success',
);
});
it('removes the sub_type key when the value is empty', async () => {
const manager = createManager();
state.global.settings = {
default_other_roots: { vae: '/models/vae-a' },
};
global.fetch = vi.fn().mockResolvedValue({
ok: true,
json: async () => ({ success: true }),
});
await manager.saveOtherRootSetting('vae', '');
expect(state.global.settings.default_other_roots).toEqual({});
expect(JSON.parse(global.fetch.mock.calls[0][1].body)).toEqual({
default_other_roots: {},
});
});
it('shows an error toast when the backend save fails', async () => {
const manager = createManager();
state.global.settings = { default_other_roots: {} };
global.fetch = vi.fn().mockResolvedValue({
ok: false,
status: 500,
});
await manager.saveOtherRootSetting('vae', '/models/vae-a');
expect(showToast).toHaveBeenCalledWith(
'toast.settings.settingSaveFailed',
expect.objectContaining({ message: expect.any(String) }),
'error',
);
});
});
});
describe('SettingsManager recipes layout switch', () => {
it('dispatches lm:recipes-layout-changed without recalculating the old scroller', async () => {
const manager = createManager();
+105
View File
@@ -0,0 +1,105 @@
import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest';
import { renderOtherPage } from '../utils/pageFixtures.js';
const initializeAppMock = vi.fn();
const initializePageFeaturesMock = vi.fn();
const createPageControlsMock = vi.fn();
const confirmDeleteMock = vi.fn();
const closeDeleteModalMock = vi.fn();
const confirmExcludeMock = vi.fn();
const closeExcludeModalMock = vi.fn();
const duplicatesManagerMock = vi.fn();
const initActiveFiltersSyncMock = vi.fn();
vi.mock('../../../static/js/core.js', () => ({
appCore: {
initialize: initializeAppMock,
initializePageFeatures: initializePageFeaturesMock,
},
}));
vi.mock('../../../static/js/components/controls/index.js', () => ({
createPageControls: createPageControlsMock,
}));
vi.mock('../../../static/js/utils/modalUtils.js', () => ({
confirmDelete: confirmDeleteMock,
closeDeleteModal: closeDeleteModalMock,
confirmExclude: confirmExcludeMock,
closeExcludeModal: closeExcludeModalMock,
}));
vi.mock('../../../static/js/api/apiConfig.js', () => ({
MODEL_TYPES: {
OTHER: 'other',
},
}));
vi.mock('../../../static/js/components/ModelDuplicatesManager.js', () => ({
ModelDuplicatesManager: duplicatesManagerMock,
}));
vi.mock('../../../static/js/utils/activeFiltersSync.js', () => ({
initActiveFiltersSync: initActiveFiltersSyncMock,
}));
describe('OtherPageManager', () => {
let OtherPageManager;
let initializeOtherPage;
let duplicatesManagerInstance;
beforeEach(async () => {
vi.resetModules();
vi.clearAllMocks();
duplicatesManagerInstance = {
checkDuplicatesCount: vi.fn(),
};
duplicatesManagerMock.mockReturnValue(duplicatesManagerInstance);
createPageControlsMock.mockReturnValue({ destroy: vi.fn() });
initializeAppMock.mockResolvedValue(undefined);
renderOtherPage();
({ OtherPageManager, initializeOtherPage } = await import('../../../static/js/other.js'));
});
afterEach(() => {
delete window.confirmDelete;
delete window.closeDeleteModal;
delete window.confirmExclude;
delete window.closeExcludeModal;
delete window.modelDuplicatesManager;
});
it('wires page controls and exposes modal helpers during construction', () => {
const manager = new OtherPageManager();
expect(createPageControlsMock).toHaveBeenCalledWith('other');
expect(duplicatesManagerMock).toHaveBeenCalledWith(manager, 'other');
expect(window.confirmDelete).toBe(confirmDeleteMock);
expect(window.closeDeleteModal).toBe(closeDeleteModalMock);
expect(window.confirmExclude).toBe(confirmExcludeMock);
expect(window.closeExcludeModal).toBe(closeExcludeModalMock);
expect(window.modelDuplicatesManager).toBe(duplicatesManagerInstance);
});
it('initializes shared page features and syncs active filters', async () => {
const manager = new OtherPageManager();
await manager.initialize();
expect(initializePageFeaturesMock).toHaveBeenCalledTimes(1);
expect(initActiveFiltersSyncMock).toHaveBeenCalledWith('other');
});
it('boots the other models page through the initializer', async () => {
const manager = await initializeOtherPage();
expect(initializeAppMock).toHaveBeenCalledTimes(1);
expect(manager).toBeInstanceOf(OtherPageManager);
expect(window.modelDuplicatesManager).toBe(duplicatesManagerInstance);
});
});
+12
View File
@@ -36,6 +36,18 @@ export function renderEmbeddingsPage() {
});
}
/**
* Renders the Other Models page template with expected dataset attributes.
* @returns {Element}
*/
export function renderOtherPage() {
return renderTemplate('other.html', {
dataset: {
page: 'other',
},
});
}
/**
* Renders the Recipes page template with expected dataset attributes.
* @returns {Element}
@@ -91,3 +91,61 @@ async def test_invalid_json_rejected():
FakeRequest(json.JSONDecodeError("bad", "", 0))
)
assert response.status == 400
@pytest.mark.asyncio
async def test_other_model_type_returns_sub_type():
handler = DownloadRoutingHandler()
response = await handler.get_download_routing(
FakeRequest({"model_type": "TextEncoder", "file_types": ["Model"]})
)
payload = json.loads(response.text)
assert response.status == 200
assert payload == {"success": True, "root_kind": "other", "sub_type": "text_encoder"}
@pytest.mark.asyncio
async def test_other_explicit_file_pick_wins():
handler = DownloadRoutingHandler()
response = await handler.get_download_routing(
FakeRequest(
{
"model_type": "Other",
"file_types": ["Model"],
"selected_file_type": "VAE",
}
)
)
payload = json.loads(response.text)
assert payload["root_kind"] == "other"
assert payload["sub_type"] == "vae"
@pytest.mark.asyncio
async def test_other_file_type_fallback_when_model_type_unmapped():
handler = DownloadRoutingHandler()
response = await handler.get_download_routing(
FakeRequest({"model_type": "Other", "file_types": ["Model", "Upscaler"]})
)
payload = json.loads(response.text)
assert payload["sub_type"] == "upscaler"
@pytest.mark.asyncio
async def test_other_undecidable_sub_type_is_none():
handler = DownloadRoutingHandler()
response = await handler.get_download_routing(
FakeRequest({"model_type": "Other", "file_types": ["Model"]})
)
payload = json.loads(response.text)
assert response.status == 200
assert payload == {"success": True, "root_kind": "other", "sub_type": None}
@pytest.mark.asyncio
async def test_other_invalid_selected_file_type_rejected():
handler = DownloadRoutingHandler()
response = await handler.get_download_routing(
FakeRequest({"model_type": "VAE", "selected_file_type": 123})
)
assert response.status == 400
+4 -2
View File
@@ -132,6 +132,7 @@ async def test_lora_manager_lifecycle(monkeypatch: pytest.MonkeyPatch, tmp_path:
"lora": _DummyScanner("lora"),
"checkpoint": _DummyScanner("checkpoint"),
"embedding": _DummyScanner("embedding"),
"other": _DummyScanner("other"),
"recipe": _DummyScanner("recipe"),
}
@@ -147,6 +148,7 @@ async def test_lora_manager_lifecycle(monkeypatch: pytest.MonkeyPatch, tmp_path:
monkeypatch.setattr(lora_manager.ServiceRegistry, "get_lora_scanner", lambda: _stub("lora_scanner", scanners["lora"]))
monkeypatch.setattr(lora_manager.ServiceRegistry, "get_checkpoint_scanner", lambda: _stub("checkpoint_scanner", scanners["checkpoint"]))
monkeypatch.setattr(lora_manager.ServiceRegistry, "get_embedding_scanner", lambda: _stub("embedding_scanner", scanners["embedding"]))
monkeypatch.setattr(lora_manager.ServiceRegistry, "get_other_scanner", lambda: _stub("other_scanner", scanners["other"]))
monkeypatch.setattr(lora_manager.ServiceRegistry, "get_recipe_scanner", lambda: _stub("recipe_scanner", scanners["recipe"]))
migration_calls: list[bool] = []
@@ -205,7 +207,7 @@ async def test_lora_manager_lifecycle(monkeypatch: pytest.MonkeyPatch, tmp_path:
await asyncio.gather(*pending)
task_names = {task.get_name() for task in scheduled_tasks}
assert {"lora_cache_init", "checkpoint_cache_init", "embedding_cache_init", "recipe_cache_init", "post_init_tasks", "cleanup_bak_files"}.issubset(task_names)
assert {"lora_cache_init", "checkpoint_cache_init", "embedding_cache_init", "other_cache_init", "recipe_cache_init", "post_init_tasks", "cleanup_bak_files"}.issubset(task_names)
# Startup sweep: an expired pending-delete purge task is spawned during
# service initialization (covers both plugin and standalone modes).
@@ -219,4 +221,4 @@ async def test_lora_manager_lifecycle(monkeypatch: pytest.MonkeyPatch, tmp_path:
for root in (loras_root, checkpoints_root, embeddings_root):
assert not any(path.suffix == ".bak" for path in root.rglob("*")), f"Backup files remain in {root}"
assert {"civitai_client", "download_manager", "websocket_manager", "lora_scanner", "checkpoint_scanner", "embedding_scanner", "recipe_scanner"}.issubset(registry_calls)
assert {"civitai_client", "download_manager", "websocket_manager", "lora_scanner", "checkpoint_scanner", "embedding_scanner", "other_scanner", "recipe_scanner"}.issubset(registry_calls)
+31 -3
View File
@@ -1133,8 +1133,8 @@ async def test_get_civitai_user_models_marks_library_versions():
},
{
"id": 4,
"name": "Unsupported",
"type": "Other",
"name": "VAE Model",
"type": "VAE",
"modelVersions": [
{
"id": 400,
@@ -1142,6 +1142,17 @@ async def test_get_civitai_user_models_marks_library_versions():
}
],
},
{
"id": 5,
"name": "Unsupported",
"type": "Wildcard",
"modelVersions": [
{
"id": 500,
"name": "v1",
}
],
},
]
provider = FakeUserModelsProvider(models)
@@ -1152,6 +1163,7 @@ async def test_get_civitai_user_models_marks_library_versions():
lora_scanner = FakeExistenceScanner({101})
checkpoint_scanner = FakeExistenceScanner()
embedding_scanner = FakeExistenceScanner({202})
other_scanner = FakeExistenceScanner({400})
async def lora_factory():
return lora_scanner
@@ -1162,11 +1174,15 @@ async def test_get_civitai_user_models_marks_library_versions():
async def embedding_factory():
return embedding_scanner
async def other_factory():
return other_scanner
handler = ModelLibraryHandler(
ServiceRegistryAdapter(
get_lora_scanner=lora_factory,
get_checkpoint_scanner=checkpoint_factory,
get_embedding_scanner=embedding_factory,
get_other_scanner=other_factory,
get_downloaded_version_history_service=lambda: fake_download_history_service_factory(),
),
metadata_provider_factory=provider_factory,
@@ -1240,6 +1256,18 @@ async def test_get_civitai_user_models_marks_library_versions():
"inLibrary": False,
"hasBeenDownloaded": False,
},
{
"modelId": 4,
"versionId": 400,
"modelName": "VAE Model",
"versionName": "v1",
"type": "VAE",
"tags": [],
"baseModel": None,
"thumbnailUrl": None,
"inLibrary": True,
"hasBeenDownloaded": False,
},
]
assert provider.received_usernames == ["pixel"]
@@ -1351,7 +1379,7 @@ async def test_get_civitai_user_models_returns_pagination_fields():
{
"id": 2,
"name": "Unsupported",
"type": "Other",
"type": "Wildcard",
"modelVersions": [{"id": 200, "name": "v1"}],
},
]
+165
View File
@@ -0,0 +1,165 @@
import json
import pytest
from aiohttp import web
from py.routes.other_routes import OtherRoutes
from py.services.other_model_service import OtherModelService
class DummyRequest:
def __init__(self, *, match_info=None):
self.match_info = match_info or {}
class StubOtherModelService:
def __init__(self):
self.info = {}
async def get_model_info_by_name(self, name):
value = self.info.get(name)
if isinstance(value, Exception):
raise value
return value
@pytest.fixture
def routes():
handler = OtherRoutes()
handler.service = StubOtherModelService() # pyright: ignore[reportAttributeAccessIssue]
return handler
def test_common_and_specific_routes_registered():
"""Registration smoke test: /api/lm/other/* surface plus the /other page."""
app = web.Application()
OtherRoutes().setup_routes(app)
registered = {(route.method, route.resource.canonical) for route in app.router.routes()}
assert ("GET", "/other") in registered
assert ("GET", "/api/lm/other/list") in registered
assert ("GET", "/api/lm/other/model-types") in registered
assert ("GET", "/api/lm/other/roots") in registered
assert ("POST", "/api/lm/other/fetch-civitai") in registered
assert ("POST", "/api/lm/other/delete") in registered
assert ("POST", "/api/lm/other/move_model") in registered
assert ("GET", "/api/lm/other/info/{name}") in registered
def test_template_name_is_other_page():
assert OtherRoutes().template_name == "other.html"
@pytest.mark.parametrize(
"model_type",
["VAE", "Upscaler", "TextEncoder", "CLIP", "CLIPVision", "Controlnet", "Other"],
)
def test_validate_civitai_model_type_accepts_other_types(model_type):
assert OtherRoutes()._validate_civitai_model_type(model_type) is True
@pytest.mark.parametrize("model_type", ["Lora", "Checkpoint", "TextualInversion"])
def test_validate_civitai_model_type_rejects_foreign_types(model_type):
assert OtherRoutes()._validate_civitai_model_type(model_type) is False
def test_get_expected_model_types_mentions_supported_types():
expected = OtherRoutes()._get_expected_model_types()
for name in ("VAE", "Upscaler", "TextEncoder", "CLIPVision", "Controlnet"):
assert name in expected
async def test_get_other_model_info_success(routes):
routes.service.info["demo"] = {"name": "demo"}
response = await routes.get_other_model_info(DummyRequest(match_info={"name": "demo"}))
payload = json.loads(response.text)
assert payload == {"name": "demo"}
async def test_get_other_model_info_missing(routes):
response = await routes.get_other_model_info(DummyRequest(match_info={"name": "missing"}))
payload = json.loads(response.text)
assert response.status == 404
assert payload == {"error": "Model not found"}
async def test_get_other_model_info_error(routes):
routes.service.info["demo"] = RuntimeError("boom")
response = await routes.get_other_model_info(DummyRequest(match_info={"name": "demo"}))
payload = json.loads(response.text)
assert response.status == 500
assert payload == {"error": "boom"}
@pytest.mark.asyncio
async def test_initialize_services_builds_other_model_service(monkeypatch):
from py.services.service_registry import ServiceRegistry
sentinel_scanner = object()
sentinel_update_service = object()
async def fake_scanner():
return sentinel_scanner
async def fake_update_service():
return sentinel_update_service
monkeypatch.setattr(ServiceRegistry, "get_other_scanner", staticmethod(fake_scanner))
monkeypatch.setattr(
ServiceRegistry, "get_model_update_service", staticmethod(fake_update_service)
)
handler = OtherRoutes()
await handler.initialize_services()
assert isinstance(handler.service, OtherModelService)
assert handler.service.model_type == "other"
assert handler.service.scanner is sentinel_scanner
def test_roots_by_subtype_route_registered():
app = web.Application()
OtherRoutes().setup_routes(app)
registered = {(route.method, route.resource.canonical) for route in app.router.routes()}
assert ("GET", "/api/lm/other/roots_by_subtype") in registered
async def test_get_roots_by_subtype_aggregates_folder_keys(monkeypatch):
"""text_encoders and the legacy clip key both land under text_encoder."""
from py.config import config
monkeypatch.setattr(
config,
"other_folder_roots",
{
"vae": ["/models/vae", "/models/vae2"],
"text_encoders": ["/models/text_encoders"],
"clip": ["/models/clip_legacy"],
"upscale_models": ["/models/upscale"],
"unknown_key": ["/models/ignored"],
},
)
response = await OtherRoutes().get_roots_by_subtype(DummyRequest())
payload = json.loads(response.text)
assert payload["success"] is True
assert payload["roots_by_subtype"] == {
"vae": ["/models/vae", "/models/vae2"],
"text_encoder": ["/models/text_encoders", "/models/clip_legacy"],
"upscaler": ["/models/upscale"],
}
async def test_get_roots_by_subtype_empty_config(monkeypatch):
from py.config import config
monkeypatch.setattr(config, "other_folder_roots", {})
response = await OtherRoutes().get_roots_by_subtype(DummyRequest())
payload = json.loads(response.text)
assert payload == {"success": True, "roots_by_subtype": {}}
@@ -0,0 +1,565 @@
"""DownloadManager support for the "other" model type (VAE, upscaler, ...).
Covers the Phase-2 scatter points from docs/plans/other-models-page.md §9.1:
type map acceptance, existence gates consulting the other scanner (never
falling through to the lora scanner), per-sub_type default roots, resume
metadata and the archive extension set.
"""
from pathlib import Path
from types import SimpleNamespace
from unittest.mock import AsyncMock
import pytest
from py.services import aria2_transfer_state
from py.services import download_manager
from py.services.download_manager import DownloadManager
from py.services.service_registry import ServiceRegistry
from py.services.settings_manager import SettingsManager, get_settings_manager
@pytest.fixture(autouse=True)
def reset_download_manager():
"""Ensure each test operates on a fresh singleton."""
DownloadManager._instance = None
yield
DownloadManager._instance = None
@pytest.fixture(autouse=True)
def isolate_settings(monkeypatch, tmp_path):
"""Point settings writes at a temporary directory to avoid touching real files."""
manager = get_settings_manager()
default_settings = manager._get_default_settings()
default_settings.update(
{
"default_lora_root": str(tmp_path / "loras"),
"default_checkpoint_root": str(tmp_path / "checkpoints"),
"default_embedding_root": str(tmp_path / "embeddings"),
"default_other_roots": {
"vae": str(tmp_path / "vae"),
"upscaler": str(tmp_path / "upscale_models"),
"text_encoder": str(tmp_path / "text_encoders"),
"clip_vision": str(tmp_path / "clip_vision"),
},
"download_path_templates": {
"lora": "{base_model}/{first_tag}",
"checkpoint": "{base_model}/{first_tag}",
"embedding": "{base_model}/{first_tag}",
"other": "",
},
"skip_previously_downloaded_model_versions": False,
"download_skip_base_models": [],
}
)
monkeypatch.setattr(manager, "settings", default_settings)
monkeypatch.setattr(SettingsManager, "_save_settings", lambda self: None)
@pytest.fixture(autouse=True)
def isolate_aria2_state(monkeypatch, tmp_path):
state_path = tmp_path / "cache" / "aria2" / "downloads.json"
monkeypatch.setattr(
aria2_transfer_state,
"get_aria2_state_path",
lambda: str(state_path),
)
@pytest.fixture(autouse=True)
def stub_metadata(monkeypatch):
class _StubMetadata:
def __init__(self, save_path: str):
self.file_path = save_path
self.sha256 = "sha256"
self.file_name = Path(save_path).stem
def _make_class(name):
@staticmethod
def from_civitai_info(_version_info, _file_info, save_path):
metadata = _StubMetadata(save_path)
metadata.metadata_class = name
return metadata
return type(name, (), {"from_civitai_info": from_civitai_info})
monkeypatch.setattr(download_manager, "LoraMetadata", _make_class("LoraMetadata"))
monkeypatch.setattr(
download_manager, "CheckpointMetadata", _make_class("CheckpointMetadata")
)
monkeypatch.setattr(
download_manager, "EmbeddingMetadata", _make_class("EmbeddingMetadata")
)
monkeypatch.setattr(
download_manager, "OtherModelMetadata", _make_class("OtherModelMetadata")
)
class DummyScanner:
def __init__(self, exists: bool = False, raw_data=None):
self.exists = exists
self.calls = []
self._cache = SimpleNamespace(raw_data=list(raw_data or []))
async def check_model_version_exists(self, version_id):
self.calls.append(version_id)
return self.exists
async def get_cached_data(self):
return self._cache
@pytest.fixture
def scanners(monkeypatch):
lora_scanner = DummyScanner()
checkpoint_scanner = DummyScanner()
embedding_scanner = DummyScanner()
other_scanner = DummyScanner()
monkeypatch.setattr(
ServiceRegistry, "get_lora_scanner", AsyncMock(return_value=lora_scanner)
)
monkeypatch.setattr(
ServiceRegistry,
"get_checkpoint_scanner",
AsyncMock(return_value=checkpoint_scanner),
)
monkeypatch.setattr(
ServiceRegistry,
"get_embedding_scanner",
AsyncMock(return_value=embedding_scanner),
)
monkeypatch.setattr(
ServiceRegistry,
"get_other_scanner",
AsyncMock(return_value=other_scanner),
)
return SimpleNamespace(
lora=lora_scanner,
checkpoint=checkpoint_scanner,
embedding=embedding_scanner,
other=other_scanner,
)
def _other_payload(civitai_type: str, *, files=None) -> dict:
return {
"id": 42,
"model": {"type": civitai_type, "tags": ["utility"]},
"baseModel": "SDXL 1.0",
"creator": {"username": "Author"},
"files": files
or [
{
"type": "Model",
"primary": True,
"downloadUrl": "https://example.invalid/file.safetensors",
"name": "file.safetensors",
}
],
}
@pytest.fixture
def metadata_provider(monkeypatch):
class DummyProvider:
def __init__(self):
self.calls = []
self.payload = _other_payload("VAE")
async def get_model_version(self, model_id, model_version_id):
self.calls.append((model_id, model_version_id))
return self.payload
provider = DummyProvider()
monkeypatch.setattr(
download_manager,
"get_default_metadata_provider",
AsyncMock(return_value=provider),
)
return provider
def _capture_execute(monkeypatch, captured):
async def fake_execute_download(self, **kwargs):
captured.update(kwargs)
return {"success": True}
monkeypatch.setattr(
DownloadManager, "_execute_download", fake_execute_download, raising=False
)
@pytest.mark.asyncio
@pytest.mark.parametrize(
"civitai_type",
["VAE", "Upscaler", "TextEncoder", "CLIP", "CLIPVision", "Controlnet", "Other"],
)
async def test_download_accepts_other_model_types(
monkeypatch, scanners, metadata_provider, tmp_path, civitai_type
):
"""All VALID_OTHER_CIVITAI_TYPES route to model_type 'other'."""
metadata_provider.payload = _other_payload(civitai_type)
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, save_dir=str(tmp_path)
)
assert result["success"] is True
assert captured["model_type"] == "other"
assert captured["metadata"].metadata_class == "OtherModelMetadata"
@pytest.mark.asyncio
async def test_download_rejects_unknown_model_type(
monkeypatch, scanners, metadata_provider, tmp_path
):
metadata_provider.payload = _other_payload("Workflow")
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, save_dir=str(tmp_path)
)
assert result["success"] is False
assert result["error"].startswith("Model type")
@pytest.mark.asyncio
async def test_early_gate_checks_other_scanner(
monkeypatch, scanners, metadata_provider, tmp_path
):
scanners.other.exists = True
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=101, save_dir=str(tmp_path)
)
assert result["success"] is False
assert result["error"] == "Model version already exists in other library"
assert scanners.other.calls == [101]
@pytest.mark.asyncio
async def test_scanner_dispatch_has_no_lora_fall_through(scanners):
"""The Phase-2 trap: 'other' must reach the other scanner explicitly, and
unknown types must raise instead of silently deduping against loras."""
manager = DownloadManager()
scanner = await manager._get_scanner_for_model_type("other")
assert scanner is scanners.other
scanner = await manager._get_scanner_for_model_type("lora")
assert scanner is scanners.lora
with pytest.raises(ValueError):
await manager._get_scanner_for_model_type("bogus")
@pytest.mark.asyncio
async def test_explicit_file_gate_uses_other_scanner_not_lora(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""A matching local entry in the LORA library must not block an 'other'
download; only the other scanner's library is consulted."""
local_entry = {
"file_name": "file",
"sha256": "deadbeef",
"civitai": {"id": 42},
}
scanners.lora._cache = SimpleNamespace(raw_data=[dict(local_entry)])
scanners.other._cache = SimpleNamespace(raw_data=[])
metadata_provider.payload = _other_payload(
"VAE",
files=[
{
"id": 7,
"type": "Model",
"primary": True,
"name": "file.safetensors",
"hashes": {"SHA256": "deadbeef"},
"downloadUrl": "https://example.invalid/file.safetensors",
}
],
)
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=42,
save_dir=str(tmp_path),
file_params={"id": 7, "type": "Model"},
)
assert result["success"] is True
assert captured["model_type"] == "other"
@pytest.mark.asyncio
async def test_explicit_file_gate_blocks_when_other_scanner_has_file(
monkeypatch, scanners, metadata_provider, tmp_path
):
local_entry = {
"file_name": "file",
"sha256": "deadbeef",
"civitai": {"id": 42},
}
scanners.other._cache = SimpleNamespace(raw_data=[dict(local_entry)])
metadata_provider.payload = _other_payload(
"VAE",
files=[
{
"id": 7,
"type": "Model",
"primary": True,
"name": "file.safetensors",
"hashes": {"SHA256": "deadbeef"},
"downloadUrl": "https://example.invalid/file.safetensors",
}
],
)
execute_mock = AsyncMock(return_value={"success": True})
monkeypatch.setattr(DownloadManager, "_execute_download", execute_mock)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=42,
save_dir=str(tmp_path),
file_params={"id": 7, "type": "Model"},
)
assert result["success"] is False
assert "already exists in other library" in result["error"]
assert execute_mock.await_count == 0
@pytest.mark.asyncio
async def test_version_level_fallback_gate_checks_other_scanner(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""file_params that resolve to nothing fall back to the version-level
gate, which must consult the other scanner."""
scanners.other.exists = True
execute_mock = AsyncMock(return_value={"success": True})
monkeypatch.setattr(DownloadManager, "_execute_download", execute_mock)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=101,
save_dir=str(tmp_path),
file_params={"id": 999999, "type": "Model"},
)
assert result["success"] is False
assert result["error"] == "Model version already exists in other library"
assert scanners.other.calls == [101]
assert execute_mock.await_count == 0
@pytest.mark.asyncio
async def test_default_paths_use_per_sub_type_root(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""model.type VAE -> default_other_roots['vae']."""
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, use_default_paths=True
)
assert result["success"] is True
assert str(tmp_path / "vae") in str(captured["save_dir"])
@pytest.mark.asyncio
async def test_default_paths_file_type_fallback_for_unmapped_model_type(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""model.type 'Other' maps to nothing; a 'Upscaler' file type decides."""
metadata_provider.payload = _other_payload(
"Other",
files=[
{
"type": "Upscaler",
"primary": True,
"downloadUrl": "https://example.invalid/upscaler.safetensors",
"name": "upscaler.safetensors",
}
],
)
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, use_default_paths=True
)
assert result["success"] is True
assert str(tmp_path / "upscale_models") in str(captured["save_dir"])
@pytest.mark.asyncio
async def test_default_paths_explicit_file_pick_wins(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""An explicit pick of a bundled VAE component file routes to the vae
root even though model.type maps to upscaler."""
metadata_provider.payload = _other_payload(
"Upscaler",
files=[
{
"id": 1,
"type": "Model",
"primary": True,
"downloadUrl": "https://example.invalid/model.safetensors",
"name": "model.safetensors",
},
{
"id": 2,
"type": "VAE",
"downloadUrl": "https://example.invalid/bundled-vae.safetensors",
"name": "bundled-vae.safetensors",
},
],
)
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99,
use_default_paths=True,
file_params={"id": 2, "type": "VAE"},
)
assert result["success"] is True
assert str(tmp_path / "vae") in str(captured["save_dir"])
assert captured["download_urls"] == [
"https://example.invalid/bundled-vae.safetensors"
]
@pytest.mark.asyncio
async def test_default_paths_errors_when_sub_type_root_unconfigured(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""controlnet has no configured default root in the fixture settings."""
metadata_provider.payload = _other_payload("Controlnet")
execute_mock = AsyncMock(return_value={"success": True})
monkeypatch.setattr(DownloadManager, "_execute_download", execute_mock)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, use_default_paths=True
)
assert result["success"] is False
assert "controlnet" in result["error"]
assert execute_mock.await_count == 0
@pytest.mark.asyncio
async def test_default_paths_errors_when_sub_type_undecidable(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""model.type 'Other' with only plain 'Model' files: never silently
default to the vae folder error and ask for an explicit folder."""
metadata_provider.payload = _other_payload("Other")
execute_mock = AsyncMock(return_value={"success": True})
monkeypatch.setattr(DownloadManager, "_execute_download", execute_mock)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, use_default_paths=True
)
assert result["success"] is False
assert "sub-type" in result["error"]
assert execute_mock.await_count == 0
@pytest.mark.asyncio
async def test_civarchive_source_same_payload_shape(
monkeypatch, scanners, metadata_provider, tmp_path
):
"""CivArchive downloads walk the same path with the same payload shape."""
metadata_provider.payload = _other_payload("TextEncoder")
captured = {}
_capture_execute(monkeypatch, captured)
manager = DownloadManager()
result = await manager.download_from_civitai(
model_version_id=99, save_dir=str(tmp_path), source="civarchive"
)
assert result["success"] is True
assert captured["model_type"] == "other"
def test_build_metadata_for_resume_uses_other_metadata():
manager = DownloadManager()
metadata = manager._build_metadata_for_resume(
model_type="other",
version_info={"model": {"type": "VAE"}},
file_info={"name": "file.safetensors"},
save_path="/tmp/file.safetensors",
)
assert metadata.metadata_class == "OtherModelMetadata"
def test_other_extension_set_matches_checkpoint():
manager = DownloadManager()
extensions = manager._get_supported_extensions_for_type("other")
assert extensions == manager._get_supported_extensions_for_type("checkpoint")
assert ".gguf" in extensions
assert ".safetensors" in extensions
@pytest.mark.asyncio
async def test_sync_downloaded_version_uses_other_scanner(monkeypatch, scanners):
"""Update tracking for a downloaded other-model version consults the
other scanner for local versions."""
class FakeUpdateService:
def __init__(self):
self.calls = []
async def update_in_library_versions(
self, model_type, model_id, version_ids, version_info=None
):
self.calls.append((model_type, model_id, version_ids))
update_service = FakeUpdateService()
monkeypatch.setattr(
ServiceRegistry,
"get_model_update_service",
AsyncMock(return_value=update_service),
)
manager = DownloadManager()
await manager._sync_downloaded_version(
"other", 7, {"id": 42, "model": {"id": 7}}
)
assert update_service.calls == [("other", 7, [42])]
+102
View File
@@ -38,3 +38,105 @@ def test_non_checkpoint_types_never_route_to_unet():
def test_empty_inputs_stay_on_checkpoint_roots():
assert not is_diffusion_model_download("checkpoint")
assert not is_diffusion_model_download("checkpoint", file_types=[], base_model="")
from py.services.download_routing import resolve_other_download_sub_type
class TestResolveOtherDownloadSubType:
"""Fixed priority: explicit file pick > model.type > file.type fallback."""
def test_explicit_file_pick_wins_over_model_type(self):
"""User explicitly picked a VAE component file of a Checkpoint model —
the picked file type wins."""
assert (
resolve_other_download_sub_type(
"Checkpoint", file_types=["Model", "VAE"], selected_file_type="VAE"
)
== "vae"
)
@pytest.mark.parametrize(
"selected,expected",
[
("VAE", "vae"),
("Upscaler", "upscaler"),
("Text Encoder", "text_encoder"),
("Vision Encoder", "clip_vision"),
("CLIPVision", "clip_vision"),
("ControlNet", "controlnet"),
],
)
def test_explicit_file_pick_maps_all_known_types(self, selected, expected):
assert (
resolve_other_download_sub_type("Other", selected_file_type=selected)
== expected
)
@pytest.mark.parametrize(
"model_type,expected",
[
("VAE", "vae"),
("Upscaler", "upscaler"),
("TextEncoder", "text_encoder"),
("CLIP", "text_encoder"),
("CLIPVision", "clip_vision"),
("Controlnet", "controlnet"),
],
)
def test_model_type_mapping(self, model_type, expected):
assert resolve_other_download_sub_type(model_type) == expected
def test_model_type_beats_unmappable_file_pick(self):
"""An explicit pick whose file type does not map (e.g. plain 'Model')
falls through to model.type."""
assert (
resolve_other_download_sub_type(
"TextEncoder", selected_file_type="Model"
)
== "text_encoder"
)
def test_bundled_component_files_never_override_model_type(self):
"""Anti-misrouting: a TextEncoder model bundling a VAE component file
must stay text_encoder file types are a fallback, not an override."""
assert (
resolve_other_download_sub_type(
"TextEncoder", file_types=["Model", "VAE"]
)
== "text_encoder"
)
assert (
resolve_other_download_sub_type(
"Controlnet", file_types=["Model", "Text Encoder"]
)
== "controlnet"
)
def test_file_type_fallback_when_model_type_unmapped(self):
"""model.type 'Other' (or retired values) maps to nothing, so the
first mappable file type decides."""
assert (
resolve_other_download_sub_type("Other", file_types=["Model", "Upscaler"])
== "upscaler"
)
def test_file_type_fallback_for_civarchive_payload(self):
"""CivArchive-shaped payload: same fields, same decision path."""
assert (
resolve_other_download_sub_type(
"Other",
file_types=["Config", "Text Encoder"],
)
== "text_encoder"
)
@pytest.mark.parametrize("model_type", ["Other", "", "SomethingNew"])
def test_undecidable_returns_none(self, model_type):
assert (
resolve_other_download_sub_type(model_type, file_types=["Model"]) is None
)
assert resolve_other_download_sub_type(model_type) is None
def test_model_type_matching_is_case_insensitive(self):
assert resolve_other_download_sub_type("vAe") == "vae"
@@ -0,0 +1,168 @@
"""Example-images download dispatch accepts the "other" model type.
Covers the three scanner-dispatch sites from docs/plans/other-models-page.md
§9.1: check_pending_models, _download_all_example_images and
_download_specific_models_example_images_sync.
"""
from __future__ import annotations
from types import SimpleNamespace
from typing import Any
import pytest
from py.services.settings_manager import get_settings_manager
from py.utils import example_images_download_manager as download_module
class StubScanner:
"""Scanner double returning predetermined cache contents."""
def __init__(self, models: list[dict[str, Any]]) -> None:
self._cache = SimpleNamespace(raw_data=models)
async def get_cached_data(self):
return self._cache
class RecordingWebSocketManager:
def __init__(self) -> None:
self.payloads: list[dict[str, Any]] = []
async def broadcast(self, payload: dict[str, Any]) -> None:
self.payloads.append(payload)
def _patch_all_scanners(monkeypatch: pytest.MonkeyPatch, **scanners) -> None:
for name, getter in (
("lora", "get_lora_scanner"),
("checkpoint", "get_checkpoint_scanner"),
("embedding", "get_embedding_scanner"),
("other", "get_other_scanner"),
):
scanner = scanners.get(name) or StubScanner([])
async def _get_scanner(cls, _scanner=scanner):
return _scanner
monkeypatch.setattr(
download_module.ServiceRegistry,
getter,
classmethod(_get_scanner),
)
@pytest.mark.asyncio
async def test_check_pending_models_includes_other_scanner(
monkeypatch: pytest.MonkeyPatch,
tmp_path,
settings_manager,
):
ws_manager = RecordingWebSocketManager()
manager = download_module.DownloadManager(ws_manager=ws_manager)
monkeypatch.setitem(settings_manager.settings, "example_images_path", str(tmp_path))
other_models = [{"sha256": "d" * 64, "model_name": "VAE Model"}]
_patch_all_scanners(monkeypatch, other=StubScanner(other_models))
result = await manager.check_pending_models(["other"])
assert result["success"] is True
assert result["total_models"] == 1
assert result["pending_count"] == 1
@pytest.mark.asyncio
async def test_download_all_example_images_processes_other_models(
monkeypatch: pytest.MonkeyPatch,
tmp_path,
settings_manager,
):
ws_manager = RecordingWebSocketManager()
manager = download_module.DownloadManager(ws_manager=ws_manager)
monkeypatch.setitem(settings_manager.settings, "example_images_path", str(tmp_path))
other_models = [{"sha256": "e" * 64, "model_name": "Upscaler Model"}]
_patch_all_scanners(monkeypatch, other=StubScanner(other_models))
async def fake_get_downloader():
return object()
processed: list[tuple[str, dict[str, Any]]] = []
async def fake_process_model(self, scanner_type, model, scanner, *_args, **_kwargs):
processed.append((scanner_type, model))
return False
monkeypatch.setattr(download_module, "get_downloader", fake_get_downloader)
monkeypatch.setattr(
download_module.DownloadManager, "_process_model", fake_process_model
)
# Simulate the running state that start_download establishes.
manager._progress["status"] = "running"
await manager._download_all_example_images(
str(tmp_path),
optimize=False,
model_types=["other"],
delay=0,
library_name="default",
)
assert processed == [("other", other_models[0])]
@pytest.mark.asyncio
async def test_download_specific_models_example_images_processes_other_models(
monkeypatch: pytest.MonkeyPatch,
tmp_path,
settings_manager,
):
ws_manager = RecordingWebSocketManager()
manager = download_module.DownloadManager(ws_manager=ws_manager)
monkeypatch.setitem(settings_manager.settings, "example_images_path", str(tmp_path))
model_hash = "f" * 64
other_models = [{"sha256": model_hash, "model_name": "Text Encoder Model"}]
_patch_all_scanners(monkeypatch, other=StubScanner(other_models))
async def fake_get_downloader():
return object()
processed: list[tuple[str, dict[str, Any]]] = []
async def fake_process_specific_model(
self, scanner_type, model, scanner, *_args, **_kwargs
):
processed.append((scanner_type, model))
return True
monkeypatch.setattr(download_module, "get_downloader", fake_get_downloader)
monkeypatch.setattr(
download_module.DownloadManager,
"_process_specific_model",
fake_process_specific_model,
)
# Simulate the running state that start_force_download establishes.
manager._progress["status"] = "running"
await manager._download_specific_models_example_images_sync(
[model_hash],
str(tmp_path),
optimize=False,
model_types=["other"],
delay=0,
library_name="default",
)
assert processed == [("other", other_models[0])]
@pytest.fixture
def settings_manager():
return get_settings_manager()
+355
View File
@@ -0,0 +1,355 @@
"""Tests for OtherScanner: root aggregation, sub_type derivation, lazy hash."""
import asyncio
import json
import os
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from py import config as config_module
from py.services import model_scanner
from py.services.model_scanner import ModelScanner
from py.services.other_scanner import OtherScanner
from py.utils.models import OtherModelMetadata
def _normalize(path) -> str:
return str(path).replace(os.sep, "/")
@pytest.fixture(autouse=True)
def reset_model_scanner_singletons():
ModelScanner._instances.clear()
ModelScanner._locks.clear()
yield
ModelScanner._instances.clear()
ModelScanner._locks.clear()
@pytest.fixture
def other_config(monkeypatch, tmp_path):
"""Point the global config at a synthetic set of other-model roots."""
vae_root = tmp_path / "vae"
upscaler_root = tmp_path / "upscale_models"
te_root = tmp_path / "text_encoders"
clip_root = tmp_path / "clip"
clip_vision_root = tmp_path / "clip_vision"
for root in (vae_root, upscaler_root, te_root, clip_root, clip_vision_root):
root.mkdir()
roots = [
_normalize(vae_root),
_normalize(upscaler_root),
_normalize(te_root),
_normalize(clip_root),
_normalize(clip_vision_root),
]
subtypes = {
_normalize(vae_root): "vae",
_normalize(upscaler_root): "upscaler",
_normalize(te_root): "text_encoder",
_normalize(clip_root): "text_encoder",
_normalize(clip_vision_root): "clip_vision",
}
monkeypatch.setattr(config_module.config, "other_roots", roots)
monkeypatch.setattr(config_module.config, "other_root_subtypes", subtypes)
return {
"roots": roots,
"subtypes": subtypes,
"vae": _normalize(vae_root),
"upscaler": _normalize(upscaler_root),
"text_encoders": _normalize(te_root),
"clip": _normalize(clip_root),
"clip_vision": _normalize(clip_vision_root),
}
def _make_scanner() -> OtherScanner:
"""Create a scanner without __init__ to avoid async initialization."""
scanner = object.__new__(OtherScanner)
scanner.model_type = "other"
scanner.model_class = OtherModelMetadata
scanner.file_extensions = {".safetensors", ".pt", ".bin"}
scanner._hash_index = MagicMock()
return scanner
class TestOtherScannerRoots:
"""Root aggregation and sub_type resolution."""
def test_get_model_roots_aggregates_and_dedupes(self, other_config, monkeypatch):
scanner = _make_scanner()
monkeypatch.setattr(
config_module.config,
"other_roots",
other_config["roots"] + [other_config["vae"]],
)
roots = scanner.get_model_roots()
assert roots == other_config["roots"]
def test_get_model_roots_empty_when_unconfigured(self, monkeypatch):
scanner = _make_scanner()
monkeypatch.setattr(config_module.config, "other_roots", None)
assert scanner.get_model_roots() == []
def test_resolve_sub_type_for_each_default_category(self, other_config):
scanner = _make_scanner()
cases = [
(other_config["vae"], "vae"),
(other_config["upscaler"], "upscaler"),
(other_config["text_encoders"], "text_encoder"),
# Legacy ComfyUI 'clip' key maps to text_encoder as well
(other_config["clip"], "text_encoder"),
(other_config["clip_vision"], "clip_vision"),
]
for root, expected in cases:
file_path = f"{root}/model.safetensors"
assert scanner.resolve_sub_type_for_path(file_path) == expected
def test_resolve_sub_type_longest_prefix_wins(self, monkeypatch, tmp_path):
"""A nested root (controlnet inside vae) resolves to the inner category."""
outer = tmp_path / "vae"
inner = outer / "controlnet"
inner.mkdir(parents=True)
monkeypatch.setattr(
config_module.config,
"other_root_subtypes",
{_normalize(outer): "vae", _normalize(inner): "controlnet"},
)
scanner = _make_scanner()
assert (
scanner.resolve_sub_type_for_path(f"{_normalize(inner)}/cn.safetensors")
== "controlnet"
)
assert (
scanner.resolve_sub_type_for_path(f"{_normalize(outer)}/vae.safetensors")
== "vae"
)
def test_resolve_sub_type_none_for_unknown_or_empty(self, other_config):
scanner = _make_scanner()
assert scanner.resolve_sub_type_for_path(None) is None
assert scanner.resolve_sub_type_for_path("") is None
assert scanner.resolve_sub_type_for_path("/unrelated/model.safetensors") is None
def test_adjust_metadata_sets_sub_type(self, other_config):
scanner = _make_scanner()
metadata = OtherModelMetadata(
file_name="te",
model_name="te",
file_path=f"{other_config['text_encoders']}/te.safetensors",
size=1,
modified=0.0,
sha256="",
base_model="Unknown",
preview_url="",
)
result = scanner.adjust_metadata(
metadata,
metadata.file_path,
other_config["text_encoders"],
)
assert result.sub_type == "text_encoder"
def test_adjust_cached_entry_rederives_sub_type(self, other_config):
"""Persisted sub_type is never trusted: it is re-derived from location."""
scanner = _make_scanner()
entry = {
"file_path": f"{other_config['clip']}/legacy.safetensors",
"sub_type": "vae", # stale value from an old snapshot
}
result = scanner.adjust_cached_entry(entry)
assert result["sub_type"] == "text_encoder"
def test_adjust_cached_entry_keeps_value_when_root_unknown(self, other_config):
scanner = _make_scanner()
entry = {
"file_path": "/gone/model.safetensors",
"sub_type": "upscaler",
}
result = scanner.adjust_cached_entry(entry)
assert result["sub_type"] == "upscaler"
class TestOtherScannerLazyHash:
"""Lazy hashing: pending by default, singleflight on-demand calculation."""
@pytest.mark.asyncio
async def test_default_metadata_has_pending_hash(self, other_config):
vae_file = Path(other_config["vae"]) / "vae_model.safetensors"
vae_file.write_text("fake vae content", encoding="utf-8")
scanner = OtherScanner()
metadata = await scanner._create_default_metadata(_normalize(vae_file))
assert metadata is not None
assert metadata.sha256 == ""
assert metadata.hash_status == "pending"
assert metadata.from_civitai is False
assert metadata.sub_type == "vae"
@pytest.mark.asyncio
async def test_default_metadata_sub_type_from_location(self, other_config):
te_file = Path(other_config["text_encoders"]) / "t5.safetensors"
te_file.write_text("fake text encoder", encoding="utf-8")
scanner = OtherScanner()
metadata = await scanner._create_default_metadata(_normalize(te_file))
assert metadata is not None
assert metadata.sub_type == "text_encoder"
@pytest.mark.asyncio
async def test_calculate_hash_for_model_completes_pending(self, other_config):
model_file = Path(other_config["upscaler"]) / "upscaler.safetensors"
model_file.write_text("fake upscaler content", encoding="utf-8")
normalized_file = _normalize(model_file)
scanner = OtherScanner()
metadata = await scanner._create_default_metadata(normalized_file)
assert metadata is not None and metadata.hash_status == "pending"
hash_result = await scanner.calculate_hash_for_model(normalized_file)
assert hash_result is not None
assert len(hash_result) == 64
metadata_file = model_file.with_suffix(".metadata.json")
saved_data = json.loads(metadata_file.read_text(encoding="utf-8"))
assert saved_data["sha256"] == hash_result
assert saved_data["hash_status"] == "completed"
@pytest.mark.asyncio
async def test_calculate_hash_singleflight_same_file(self, other_config):
"""Concurrent calls for the same file share one SHA256 task."""
model_file = Path(other_config["vae"]) / "shared.safetensors"
model_file.write_text("fake content", encoding="utf-8")
normalized_file = _normalize(model_file)
real_file = os.path.realpath(normalized_file)
scanner = OtherScanner()
metadata = await scanner._create_default_metadata(normalized_file)
assert metadata is not None
calls = []
async def fake_calculate_sha256(file_path: str) -> str:
calls.append(file_path)
await asyncio.sleep(0.01)
return "a" * 64
with patch(
"py.utils.file_utils.calculate_sha256", side_effect=fake_calculate_sha256
):
results = await asyncio.gather(
*[scanner.calculate_hash_for_model(normalized_file) for _ in range(8)]
)
assert calls == [real_file]
assert results == ["a" * 64] * 8
assert scanner._hash_calculation_tasks == {}
@pytest.mark.asyncio
async def test_calculate_hash_skips_completed(self, other_config):
model_file = Path(other_config["clip_vision"]) / "cv.safetensors"
model_file.write_text("fake content", encoding="utf-8")
normalized_file = _normalize(model_file)
scanner = OtherScanner()
metadata = await scanner._create_default_metadata(normalized_file)
assert metadata is not None
# Simulate an already-completed hash
metadata.sha256 = "existing_hash"
metadata.hash_status = "completed"
from py.utils.metadata_manager import MetadataManager
await MetadataManager.save_metadata(normalized_file, metadata)
with patch("py.utils.file_utils.calculate_sha256") as mock_calc:
hash_result = await scanner.calculate_hash_for_model(normalized_file)
assert hash_result == "existing_hash"
mock_calc.assert_not_called()
@pytest.mark.asyncio
async def test_calculate_all_pending_hashes(self, other_config):
for index in range(3):
model_file = Path(other_config["vae"]) / f"model_{index}.safetensors"
model_file.write_text(f"content {index}", encoding="utf-8")
scanner = OtherScanner()
for index in range(3):
model_file = Path(other_config["vae"]) / f"model_{index}.safetensors"
await scanner._create_default_metadata(_normalize(model_file))
progress_calls = []
async def progress_callback(current, total, file_path):
progress_calls.append((current, total, file_path))
result = await scanner.calculate_all_pending_hashes(progress_callback)
assert result["total"] == 3
assert result["completed"] == 3
assert result["failed"] == 0
assert len(progress_calls) == 3
class TestOtherModelMetadataFromCivitai:
"""CivitAI type mapping in OtherModelMetadata.from_civitai_info."""
def _build(self, civitai_type: str) -> OtherModelMetadata:
return OtherModelMetadata.from_civitai_info(
{
"baseModel": "SDXL",
"model": {
"name": "Model",
"tags": ["tag"],
"description": "desc",
"type": civitai_type,
},
},
{"name": "model.safetensors", "sizeKB": 1, "hashes": {"SHA256": "AB"}},
"/tmp/model.safetensors",
)
@pytest.mark.parametrize(
"civitai_type,expected",
[
("VAE", "vae"),
("Upscaler", "upscaler"),
("TextEncoder", "text_encoder"),
("CLIP", "text_encoder"),
("CLIPVision", "clip_vision"),
("Controlnet", "controlnet"),
("Other", "vae"), # unknown types fall back to the placeholder
],
)
def test_civitai_type_mapping(self, civitai_type, expected):
metadata = self._build(civitai_type)
assert metadata.sub_type == expected
assert metadata.sha256 == "ab"
assert metadata.tags == ["tag"]
def test_top_level_type_key_is_ignored(self):
"""Regression: the CivitAI type lives at version["model"]["type"]; a
top-level version["type"] key must not drive the mapping (#Phase-1 bug)."""
metadata = OtherModelMetadata.from_civitai_info(
{
"type": "Upscaler",
"baseModel": "SDXL",
"model": {"name": "Model", "type": "VAE"},
},
{"name": "model.safetensors", "sizeKB": 1, "hashes": {"SHA256": "AB"}},
"/tmp/model.safetensors",
)
assert metadata.sub_type == "vae"
def test_page_type_maps_to_other():
"""The WS progress page type for the other scanner is 'other'."""
assert model_scanner.PAGE_TYPE_MAP["other"] == "other"
scanner = _make_scanner()
assert scanner.page_type == "other"
@@ -7,6 +7,7 @@ from unittest.mock import MagicMock, AsyncMock
from py.services.lora_service import LoraService
from py.services.checkpoint_service import CheckpointService
from py.services.embedding_service import EmbeddingService
from py.services.other_model_service import OtherModelService
class TestLoraServiceFormatResponse:
@@ -206,6 +207,89 @@ class TestEmbeddingServiceFormatResponse:
assert "model_type" not in result # Removed in refactoring
class TestOtherModelServiceFormatResponse:
"""Test OtherModelService.format_response includes sub_type."""
@pytest.fixture
def mock_scanner(self):
scanner = MagicMock()
scanner._hash_index = MagicMock()
return scanner
@pytest.fixture
def other_service(self, mock_scanner):
return OtherModelService(mock_scanner)
@pytest.mark.asyncio
async def test_format_response_includes_sub_type(self, other_service):
"""format_response should include sub_type field."""
other_data = {
"model_name": "Test VAE",
"file_name": "test_vae",
"preview_url": "test.webp",
"preview_nsfw_level": 0,
"base_model": "SDXL",
"folder": "",
"sha256": "abc123",
"file_path": "/models/vae/test_vae.safetensors",
"size": 1000,
"modified": 1234567890.0,
"tags": [],
"from_civitai": True,
"notes": "",
"favorite": False,
"sub_type": "vae",
"civitai": {},
}
result = await other_service.format_response(other_data)
assert "sub_type" in result
assert result["sub_type"] == "vae"
assert "model_type" not in result # Removed in refactoring
@pytest.mark.asyncio
async def test_format_response_defaults_to_vae(self, other_service):
"""format_response should default to 'vae' if no sub_type field."""
other_data = {
"model_name": "Test Upscaler",
"file_name": "test_upscaler",
"preview_url": "test.webp",
"preview_nsfw_level": 0,
"base_model": "SD1.5",
"folder": "",
"sha256": "abc123",
"file_path": "/models/upscale_models/test.pth",
"size": 1000,
"modified": 1234567890.0,
"tags": [],
"from_civitai": True,
"civitai": {},
}
result = await other_service.format_response(other_data)
assert result["sub_type"] == "vae"
assert "model_type" not in result # Removed in refactoring
@pytest.mark.asyncio
async def test_format_response_returns_none_on_missing_file_path(self, other_service):
"""format_response returns None when file_path is missing (corrupted row)."""
other_data = {
"model_name": "Test",
"file_name": "test",
"file_path": None, # corrupted: missing file_path
"folder": "",
"sha256": "abc",
"tags": [],
"from_civitai": True,
"civitai": {},
"sub_type": "text_encoder",
}
result = await other_service.format_response(other_data)
assert result is None
class TestFormatResponseCorruptedEntries:
"""Test format_response handles corrupted cache entries gracefully (issue #730).
+134
View File
@@ -1208,3 +1208,137 @@ def test_skip_previously_downloaded_model_versions_coerces_string_input(manager)
assert manager.get_skip_previously_downloaded_model_versions() is True
assert manager.settings["skip_previously_downloaded_model_versions"] is True
def test_default_other_roots_stay_empty_without_other_folders(manager):
assert manager._get_default_settings()["default_other_roots"] == {}
manager.settings["default_other_roots"] = {}
manager.settings["folder_paths"] = {}
manager.settings["extra_folder_paths"] = {}
manager._auto_set_default_roots()
assert manager.get("default_other_roots") == {}
def test_auto_set_default_other_roots(manager):
manager.settings["default_other_roots"] = {}
manager.settings["folder_paths"] = {
"vae": ["/vae"],
"upscale_models": ["/upscalers"],
"clip_vision": ["/clip_vision"],
}
manager._auto_set_default_roots()
roots = manager.get("default_other_roots")
assert roots["vae"] == "/vae"
assert roots["upscaler"] == "/upscalers"
assert roots["clip_vision"] == "/clip_vision"
# text_encoder has no configured folders -> no entry
assert "text_encoder" not in roots
assert "controlnet" not in roots
def test_auto_set_default_other_roots_text_encoder_dual_key_union(manager):
"""text_encoder candidates merge text_encoders and the legacy clip key."""
manager.settings["default_other_roots"] = {}
manager.settings["folder_paths"] = {
"clip": ["/legacy-clip"],
"text_encoders": ["/text-encoders"],
}
manager._auto_set_default_roots()
roots = manager.get("default_other_roots")
assert roots["text_encoder"] in {"/legacy-clip", "/text-encoders"}
# A value pointing at either key's root is considered valid
manager.settings["default_other_roots"] = {"text_encoder": "/legacy-clip"}
manager._auto_set_default_roots()
assert manager.get("default_other_roots")["text_encoder"] == "/legacy-clip"
def test_auto_set_default_other_roots_repairs_stale(manager):
manager.settings["default_other_roots"] = {"vae": "/stale-vae"}
manager.settings["folder_paths"] = {"vae": ["/vae"]}
manager._auto_set_default_roots()
assert manager.get("default_other_roots")["vae"] == "/vae"
def test_auto_set_default_other_roots_uses_extra_folder_paths(manager):
manager.settings["default_other_roots"] = {}
manager.settings["folder_paths"] = {"vae": []}
manager.settings["extra_folder_paths"] = {"vae": ["/extra-vae"]}
manager._auto_set_default_roots()
assert manager.get("default_other_roots")["vae"] == "/extra-vae"
def test_set_default_other_roots_syncs_active_library(manager):
manager.set("default_other_roots", {"vae": "/vae"})
libraries = manager.get_libraries()
active = manager.get_active_library_name()
assert libraries[active]["default_other_roots"] == {"vae": "/vae"}
assert manager.get("default_other_roots") == {"vae": "/vae"}
def test_set_default_other_roots_rejects_illegal_sub_type(manager):
with pytest.raises(ValueError, match="Unknown other-model sub-type"):
manager.set("default_other_roots", {"vae": "/vae", "lora": "/loras"})
def test_set_default_other_roots_normalizes_values(manager):
manager.set("default_other_roots", {"vae": " /vae ", "upscaler": ""})
assert manager.get("default_other_roots") == {"vae": "/vae"}
def test_upsert_library_passthrough_default_other_roots(manager, tmp_path):
manager.upsert_library(
"studio",
folder_paths={"loras": ["/studio/loras"], "vae": ["/studio/vae"]},
default_other_roots={"vae": "/studio/vae"},
activate=True,
)
libraries = manager.get_libraries()
assert libraries["studio"]["default_other_roots"] == {"vae": "/studio/vae"}
assert manager.get("default_other_roots") == {"vae": "/studio/vae"}
# Omitting the argument preserves the stored value
manager.upsert_library("studio", folder_paths={"loras": ["/studio/loras"]})
libraries = manager.get_libraries()
assert libraries["studio"]["default_other_roots"] == {"vae": "/studio/vae"}
def test_library_switch_restores_default_other_roots(manager):
manager.set("default_other_roots", {"vae": "/default-vae"})
manager.create_library(
"studio",
folder_paths={"loras": ["/studio/loras"]},
default_other_roots={"vae": "/studio-vae"},
)
manager.activate_library("studio")
assert manager.get("default_other_roots") == {"vae": "/studio-vae"}
manager.activate_library("default")
assert manager.get("default_other_roots") == {"vae": "/default-vae"}
def test_migrate_sanitizes_legacy_libraries_includes_other_roots(tmp_path, monkeypatch):
initial = {
"libraries": {"legacy": "not-a-dict"},
"active_library": "legacy",
"folder_paths": {"loras": ["/old"]},
}
manager = _create_manager_with_settings(tmp_path, monkeypatch, initial)
payload = manager.get_libraries()["legacy"]
assert payload["default_other_roots"] == {}