refactoring: use the same code for "scan task" and realtime DB population

alembic_db/versions/0001_assets.py

@@ -117,21 +117,25 @@ def upgrade() -> None:
             {"name": "output", "tag_type": "system"},
 
             # Core tags
-            {"name": "checkpoint", "tag_type": "system"},
-            {"name": "lora", "tag_type": "system"},
+            {"name": "configs", "tag_type": "system"},
+            {"name": "checkpoints", "tag_type": "system"},
+            {"name": "loras", "tag_type": "system"},
             {"name": "vae", "tag_type": "system"},
-            {"name": "text-encoder", "tag_type": "system"},
-            {"name": "clip-vision", "tag_type": "system"},
-            {"name": "embedding", "tag_type": "system"},
+            {"name": "text_encoders", "tag_type": "system"},
+            {"name": "diffusion_models", "tag_type": "system"},
+            {"name": "clip_vision", "tag_type": "system"},
+            {"name": "style_models", "tag_type": "system"},
+            {"name": "embeddings", "tag_type": "system"},
+            {"name": "diffusers", "tag_type": "system"},
+            {"name": "vae_approx", "tag_type": "system"},
             {"name": "controlnet", "tag_type": "system"},
-            {"name": "upscale", "tag_type": "system"},
-            {"name": "diffusion-model", "tag_type": "system"},
-            {"name": "hypernetwork", "tag_type": "system"},
-            {"name": "vae-approx", "tag_type": "system"},
             {"name": "gligen", "tag_type": "system"},
-            {"name": "style-model", "tag_type": "system"},
+            {"name": "upscale_models", "tag_type": "system"},
+            {"name": "hypernetworks", "tag_type": "system"},
             {"name": "photomaker", "tag_type": "system"},
-            {"name": "classifier", "tag_type": "system"},
+            {"name": "classifiers", "tag_type": "system"},
+
+            # Extra basic tags (used for vae_approx, ...)
             {"name": "encoder", "tag_type": "system"},
             {"name": "decoder", "tag_type": "system"},
         ],

app/_assets_helpers.py

@@ -0,0 +1,99 @@
+import os
+from pathlib import Path
+from typing import Optional, Literal, Sequence
+
+import folder_paths
+
+
+def get_comfy_models_folders() -> list[tuple[str, list[str]]]:
+    """Build a list of (folder_name, base_paths[]) categories that are configured for model locations.
+
+    We trust `folder_paths.folder_names_and_paths` and include a category if
+    *any* of its base paths lies under the Comfy `models_dir`.
+    """
+    targets: list[tuple[str, list[str]]] = []
+    models_root = os.path.abspath(folder_paths.models_dir)
+    for name, (paths, _exts) in folder_paths.folder_names_and_paths.items():
+        if any(os.path.abspath(p).startswith(models_root + os.sep) for p in paths):
+            targets.append((name, paths))
+    return targets
+
+
+def get_relative_to_root_category_path_of_asset(file_path: str) -> tuple[Literal["input", "output", "models"], str]:
+    """Given an absolute or relative file path, determine which root category the path belongs to:
+      - 'input' if the file resides under `folder_paths.get_input_directory()`
+      - 'output' if the file resides under `folder_paths.get_output_directory()`
+      - 'models' if the file resides under any base path of categories returned by `get_comfy_models_folders()`
+
+    Returns:
+        (root_category, relative_path_inside_that_root)
+        For 'models', the relative path is prefixed with the category name:
+            e.g. ('models', 'vae/test/sub/ae.safetensors')
+
+    Raises:
+        ValueError: if the path does not belong to input, output, or configured model bases.
+    """
+    fp_abs = os.path.abspath(file_path)
+
+    def _is_within(child: str, parent: str) -> bool:
+        try:
+            return os.path.commonpath([child, parent]) == parent
+        except Exception:
+            return False
+
+    def _rel(child: str, parent: str) -> str:
+        return os.path.relpath(os.path.join(os.sep, os.path.relpath(child, parent)), os.sep)
+
+    # 1) input
+    input_base = os.path.abspath(folder_paths.get_input_directory())
+    if _is_within(fp_abs, input_base):
+        return "input", _rel(fp_abs, input_base)
+
+    # 2) output
+    output_base = os.path.abspath(folder_paths.get_output_directory())
+    if _is_within(fp_abs, output_base):
+        return "output", _rel(fp_abs, output_base)
+
+    # 3) models (check deepest matching base to avoid ambiguity)
+    best: Optional[tuple[int, str, str]] = None  # (base_len, bucket, rel_inside_bucket)
+    for bucket, bases in get_comfy_models_folders():
+        for b in bases:
+            base_abs = os.path.abspath(b)
+            if not _is_within(fp_abs, base_abs):
+                continue
+            cand = (len(base_abs), bucket, _rel(fp_abs, base_abs))
+            if best is None or cand[0] > best[0]:
+                best = cand
+
+    if best is not None:
+        _, bucket, rel_inside = best
+        combined = os.path.join(bucket, rel_inside)
+        return "models", os.path.relpath(os.path.join(os.sep, combined), os.sep)
+
+    raise ValueError(f"Path is not within input, output, or configured model bases: {file_path}")
+
+
+def get_name_and_tags_from_asset_path(file_path: str) -> tuple[str, list[str]]:
+    """Return a tuple (name, tags) derived from a filesystem path.
+
+    Semantics:
+      - Root category is determined by `get_relative_to_root_category_path_of_asset`.
+      - The returned `name` is the base filename with extension from the relative path.
+      - The returned `tags` are:
+            [root_category] + parent folders of the relative path (in order)
+        For 'models', this means:
+            file '/.../ModelsDir/vae/test_tag/ae.safetensors'
+            -> root_category='models', some_path='vae/test_tag/ae.safetensors'
+            -> name='ae.safetensors', tags=['models', 'vae', 'test_tag']
+
+    Raises:
+        ValueError: if the path does not belong to input, output, or configured model bases.
+    """
+    root_category, some_path = get_relative_to_root_category_path_of_asset(file_path)
+    p = Path(some_path)
+    parent_parts = [part for part in p.parent.parts if part not in (".", "..", p.anchor)]
+    return p.name, normalize_tags([root_category, *parent_parts])
+
+
+def normalize_tags(tags: Optional[Sequence[str]]) -> list[str]:
+    return [t.strip().lower() for t in (tags or []) if (t or "").strip()]

app/assets_manager.py

@@ -1,7 +1,7 @@
+import logging
 import mimetypes
 import os
 from typing import Optional, Sequence
-from pathlib import Path
 
 from comfy.cli_args import args
 from comfy_api.internal import async_to_sync
@@ -26,6 +26,7 @@ from .database.services import (
     create_asset_info_for_existing_asset,
 )
 from .api import schemas_out
+from ._assets_helpers import get_name_and_tags_from_asset_path
 
 
 async def asset_exists(*, asset_hash: str) -> bool:
@@ -33,16 +34,20 @@ async def asset_exists(*, asset_hash: str) -> bool:
         return await asset_exists_by_hash(session, asset_hash=asset_hash)
 
 
-def populate_db_with_asset(tags: list[str], file_name: str, file_path: str) -> None:
+def populate_db_with_asset(file_path: str, tags: Optional[list[str]] = None) -> None:
     if not args.disable_model_processing:
-        p = Path(file_name)
-        dir_parts = [part for part in p.parent.parts if part not in (".", "..", p.anchor)]
-        async_to_sync.AsyncToSyncConverter.run_async_in_thread(
-            add_local_asset,
-            tags=list(dict.fromkeys([*tags, *dir_parts])),
-            file_name=p.name,
-            file_path=file_path,
-        )
+        if tags is None:
+            tags = []
+        try:
+            asset_name, path_tags = get_name_and_tags_from_asset_path(file_path)
+            async_to_sync.AsyncToSyncConverter.run_async_in_thread(
+                add_local_asset,
+                tags=list(dict.fromkeys([*path_tags, *tags])),
+                file_name=asset_name,
+                file_path=file_path,
+            )
+        except ValueError:
+            logging.exception("Cant parse '%s' as an asset file path.", file_path)
 
 
 async def add_local_asset(tags: list[str], file_name: str, file_path: str) -> None:

app/assets_scanner.py

@@ -7,10 +7,11 @@ from dataclasses import dataclass, field
 from datetime import datetime, timezone
 from typing import Literal, Optional, Sequence
 
+import folder_paths
+
 from . import assets_manager
 from .api import schemas_out
-
-import folder_paths
+from ._assets_helpers import get_comfy_models_folders
 
 LOGGER = logging.getLogger(__name__)
 
@@ -36,7 +37,7 @@ class ScanProgress:
     errors: int = 0
     last_error: Optional[str] = None
 
-    # Optional details for diagnostics
+    # Optional details for diagnostics (e.g., files per bucket)
     details: dict[str, int] = field(default_factory=dict)
 
 
@@ -49,8 +50,6 @@ def _new_scan_id(root: RootType) -> str:
 
 
 def current_statuses() -> schemas_out.AssetScanStatusResponse:
-    # make shallow copies to avoid external mutation
-    states = [PROGRESS_BY_ROOT[r] for r in ALLOWED_ROOTS if r in PROGRESS_BY_ROOT]
     return schemas_out.AssetScanStatusResponse(
         scans=[
             schemas_out.AssetScanStatus(
@@ -65,7 +64,7 @@ def current_statuses() -> schemas_out.AssetScanStatusResponse:
                 errors=s.errors,
                 last_error=s.last_error,
             )
-            for s in states
+            for s in [PROGRESS_BY_ROOT[r] for r in ALLOWED_ROOTS if r in PROGRESS_BY_ROOT]
         ]
     )
 
@@ -94,15 +93,12 @@ async def schedule_scans(roots: Sequence[str]) -> schemas_out.AssetScanStatusRes
     results: list[ScanProgress] = []
     for root in normalized:
         if root in RUNNING_TASKS and not RUNNING_TASKS[root].done():
-            # already running; return the live progress object
             results.append(PROGRESS_BY_ROOT[root])
             continue
 
-        # Create fresh progress
         prog = ScanProgress(scan_id=_new_scan_id(root), root=root, status="scheduled")
         PROGRESS_BY_ROOT[root] = prog
 
-        # Start task
         task = asyncio.create_task(_run_scan_for_root(root, prog), name=f"asset-scan:{root}")
         RUNNING_TASKS[root] = task
         results.append(prog)
@@ -151,24 +147,21 @@ async def _run_scan_for_root(root: RootType, prog: ScanProgress) -> None:
         prog.last_error = str(exc)
     finally:
         prog.finished_at = time.time()
-        # Drop the task entry if it's the current one
         t = RUNNING_TASKS.get(root)
         if t and t.done():
             RUNNING_TASKS.pop(root, None)
 
 
 async def _scan_models(prog: ScanProgress) -> None:
-    # Iterate all folder_names whose base paths lie under the Comfy 'models' directory
-    models_root = os.path.abspath(os.path.join(folder_paths.base_path, "models"))
+    """
+    Scan all configured model buckets from folder_paths.folder_names_and_paths,
+    restricted to entries whose base paths lie under folder_paths.models_dir
+    (per get_comfy_models_folders). We trust those mappings and do not try to
+    infer anything else here.
+    """
+    targets: list[tuple[str, list[str]]] = get_comfy_models_folders()
 
-    # Build list of (folder_name, base_paths[]) that are configured for this category.
-    # If any path for the category lies under 'models', include the category.
-    targets: list[tuple[str, list[str]]] = []
-    for name, (paths, _exts) in folder_paths.folder_names_and_paths.items():
-        if any(os.path.abspath(p).startswith(models_root + os.sep) for p in paths):
-            targets.append((name, paths))
-
-    plans: list[tuple[str, str]] = []  # (abs_path, file_name_for_tags)
+    plans: list[str] = []  # absolute file paths to ingest
     per_bucket: dict[str, int] = {}
 
     for folder_name, bases in targets:
@@ -198,13 +191,12 @@ async def _scan_models(prog: ScanProgress) -> None:
 
             try:
                 if not os.path.getsize(abs_path):
-                    continue
+                    continue  # skip empty files
             except OSError as e:
                 LOGGER.warning("Could not stat %s: %s – skipping", abs_path, e)
                 continue
 
-            file_name_for_tags = os.path.join(folder_name, rel_path)
-            plans.append((abs_path, file_name_for_tags))
+            plans.append(abs_path)
             count_valid += 1
 
         if count_valid:
@@ -221,16 +213,12 @@ async def _scan_models(prog: ScanProgress) -> None:
     sem = asyncio.Semaphore(DEFAULT_PER_SCAN_CONCURRENCY)
     tasks: list[asyncio.Task] = []
 
-    for abs_path, name_for_tags in plans:
-        async def worker(fp_abs: str = abs_path, fn_rel: str = name_for_tags):
+    for abs_path in plans:
+        async def worker(fp_abs: str = abs_path):
             try:
-                # Offload sync ingestion into a thread
-                await asyncio.to_thread(
-                    assets_manager.populate_db_with_asset,
-                    ["models"],
-                    fn_rel,
-                    fp_abs,
-                )
+                # Offload sync ingestion into a thread; populate_db_with_asset
+                # derives name and tags from the path using _assets_helpers.
+                await asyncio.to_thread(assets_manager.populate_db_with_asset, fp_abs)
             except Exception as e:
                 prog.errors += 1
                 prog.last_error = str(e)
@@ -260,7 +248,10 @@ def _count_files_in_tree(base_abs: str) -> int:
 
 
 async def _scan_directory_tree(base_dir: str, root: RootType, prog: ScanProgress) -> None:
-    # Guard: base_dir must be a directory
+    """
+    Generic scanner for input/output roots. We pass only the absolute path to
+    populate_db_with_asset and let it derive the relative name and tags.
+    """
     base_abs = os.path.abspath(base_dir)
     if not os.path.isdir(base_abs):
         LOGGER.info("Scan root %s skipped: base directory missing: %s", root, base_abs)
@@ -272,24 +263,27 @@ async def _scan_directory_tree(base_dir: str, root: RootType, prog: ScanProgress
     tasks: list[asyncio.Task] = []
     for dirpath, _subdirs, filenames in os.walk(base_abs, topdown=True, followlinks=False):
         for name in filenames:
-            rel = os.path.relpath(os.path.join(dirpath, name), base_abs)
-            abs_path = os.path.join(base_abs, rel)
+            abs_path = os.path.abspath(os.path.join(dirpath, name))
+
             # Safety: ensure within base
             try:
-                if os.path.commonpath([os.path.abspath(abs_path), base_abs]) != base_abs:
+                if os.path.commonpath([abs_path, base_abs]) != base_abs:
                     LOGGER.warning("Skipping path outside root %s: %s", root, abs_path)
                     continue
             except ValueError:
                 continue
 
-            async def worker(fp_abs: str = abs_path, fn_rel: str = rel):
+            # Skip empty files and handle stat errors
+            try:
+                if not os.path.getsize(abs_path):
+                    continue
+            except OSError as e:
+                LOGGER.warning("Could not stat %s: %s – skipping", abs_path, e)
+                continue
+
+            async def worker(fp_abs: str = abs_path):
                 try:
-                    await asyncio.to_thread(
-                        assets_manager.populate_db_with_asset,
-                        [root],
-                        fn_rel,
-                        fp_abs,
-                    )
+                    await asyncio.to_thread(assets_manager.populate_db_with_asset, fp_abs)
                 except Exception as e:
                     prog.errors += 1
                     prog.last_error = str(e)

app/database/services.py

@@ -14,7 +14,7 @@ from sqlalchemy.exc import IntegrityError
 
 from .models import Asset, AssetInfo, AssetInfoTag, AssetLocatorState, Tag, AssetInfoMeta
 from .timeutil import utcnow
-
+from .._assets_helpers import normalize_tags
 
 
 async def asset_exists_by_hash(session: AsyncSession, *, asset_hash: str) -> bool:
@@ -471,7 +471,7 @@ async def set_asset_info_tags(
     Replace the tag set on an AssetInfo with `tags`. Idempotent.
     Creates missing tag names as 'user'.
     """
-    desired = _normalize_tags(tags)
+    desired = normalize_tags(tags)
 
     # current links
     current = set(
@@ -691,7 +691,7 @@ async def add_tags_to_asset_info(
     if not info:
         raise ValueError(f"AssetInfo {asset_info_id} not found")
 
-    norm = _normalize_tags(tags)
+    norm = normalize_tags(tags)
     if not norm:
         total = await get_asset_tags(session, asset_info_id=asset_info_id)
         return {"added": [], "already_present": [], "total_tags": total}
@@ -753,7 +753,7 @@ async def remove_tags_from_asset_info(
     if not info:
         raise ValueError(f"AssetInfo {asset_info_id} not found")
 
-    norm = _normalize_tags(tags)
+    norm = normalize_tags(tags)
     if not norm:
         total = await get_asset_tags(session, asset_info_id=asset_info_id)
         return {"removed": [], "not_present": [], "total_tags": total}
@@ -784,12 +784,8 @@ async def remove_tags_from_asset_info(
     return {"removed": to_remove, "not_present": not_present, "total_tags": total}
 
 
-def _normalize_tags(tags: Optional[Sequence[str]]) -> list[str]:
-    return [t.strip().lower() for t in (tags or []) if (t or "").strip()]
-
-
 async def _ensure_tags_exist(session: AsyncSession, names: Iterable[str], tag_type: str = "user") -> list[Tag]:
-    wanted = _normalize_tags(list(names))
+    wanted = normalize_tags(list(names))
     if not wanted:
         return []
     existing = (await session.execute(select(Tag).where(Tag.name.in_(wanted)))).scalars().all()
@@ -808,8 +804,8 @@ def _apply_tag_filters(
     exclude_tags: Optional[Sequence[str]],
 ) -> sa.sql.Select:
     """include_tags: every tag must be present; exclude_tags: none may be present."""
-    include_tags = _normalize_tags(include_tags)
-    exclude_tags = _normalize_tags(exclude_tags)
+    include_tags = normalize_tags(include_tags)
+    exclude_tags = normalize_tags(exclude_tags)
 
     if include_tags:
         for tag_name in include_tags:

comfy/utils.py

@@ -29,6 +29,7 @@ import itertools
 from torch.nn.functional import interpolate
 from einops import rearrange
 from comfy.cli_args import args
+from app.assets_manager import populate_db_with_asset
 
 MMAP_TORCH_FILES = args.mmap_torch_files
 DISABLE_MMAP = args.disable_mmap
@@ -102,6 +103,7 @@ def load_torch_file(ckpt, safe_load=False, device=None, return_metadata=False):
             else:
                 sd = pl_sd
 
+    populate_db_with_asset(ckpt)
     return (sd, metadata) if return_metadata else sd
 
 def save_torch_file(sd, ckpt, metadata=None):

nodes.py

@@ -31,7 +31,6 @@ from comfy.comfy_types import IO, ComfyNodeABC, InputTypeDict, FileLocator
 from comfy_api.internal import register_versions, ComfyAPIWithVersion
 from comfy_api.version_list import supported_versions
 from comfy_api.latest import io, ComfyExtension
-from app.assets_manager import populate_db_with_asset
 
 import comfy.clip_vision
 
@@ -555,9 +554,7 @@ class CheckpointLoader:
     def load_checkpoint(self, config_name, ckpt_name):
         config_path = folder_paths.get_full_path("configs", config_name)
         ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name)
-        out = comfy.sd.load_checkpoint(config_path, ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
-        populate_db_with_asset(["models", "checkpoint"], ckpt_name, ckpt_path)
-        return out
+        return comfy.sd.load_checkpoint(config_path, ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
 
 class CheckpointLoaderSimple:
     @classmethod
@@ -579,7 +576,6 @@ class CheckpointLoaderSimple:
     def load_checkpoint(self, ckpt_name):
         ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name)
         out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
-        populate_db_with_asset(["models", "checkpoint"], ckpt_name, ckpt_path)
         return out[:3]
 
 class DiffusersLoader:
@@ -622,7 +618,6 @@ class unCLIPCheckpointLoader:
     def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True):
         ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name)
         out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
-        populate_db_with_asset(["models", "checkpoint"], ckpt_name, ckpt_path)
         return out
 
 class CLIPSetLastLayer:
@@ -681,7 +676,6 @@ class LoraLoader:
             self.loaded_lora = (lora_path, lora)
 
         model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
-        populate_db_with_asset(["models", "lora"], lora_name, lora_path)
         return (model_lora, clip_lora)
 
 class LoraLoaderModelOnly(LoraLoader):
@@ -746,15 +740,11 @@ class VAELoader:
         encoder = next(filter(lambda a: a.startswith("{}_encoder.".format(name)), approx_vaes))
         decoder = next(filter(lambda a: a.startswith("{}_decoder.".format(name)), approx_vaes))
 
-        encoder_path = folder_paths.get_full_path_or_raise("vae_approx", encoder)
-        populate_db_with_asset(["models", "vae-approx", "encoder"], name, encoder_path)
-        enc = comfy.utils.load_torch_file(encoder_path)
+        enc = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae_approx", encoder))
         for k in enc:
             sd["taesd_encoder.{}".format(k)] = enc[k]
 
-        decoder_path = folder_paths.get_full_path_or_raise("vae_approx", decoder)
-        populate_db_with_asset(["models", "vae-approx", "decoder"], name, decoder_path)
-        dec = comfy.utils.load_torch_file(decoder_path)
+        dec = comfy.utils.load_torch_file(folder_paths.get_full_path_or_raise("vae_approx", decoder))
         for k in dec:
             sd["taesd_decoder.{}".format(k)] = dec[k]
 
@@ -787,7 +777,6 @@ class VAELoader:
         else:
             vae_path = folder_paths.get_full_path_or_raise("vae", vae_name)
             sd = comfy.utils.load_torch_file(vae_path)
-            populate_db_with_asset(["models", "vae"], vae_name, vae_path)
         vae = comfy.sd.VAE(sd=sd)
         vae.throw_exception_if_invalid()
         return (vae,)
@@ -807,7 +796,6 @@ class ControlNetLoader:
         controlnet = comfy.controlnet.load_controlnet(controlnet_path)
         if controlnet is None:
             raise RuntimeError("ERROR: controlnet file is invalid and does not contain a valid controlnet model.")
-        populate_db_with_asset(["models", "controlnet"], control_net_name, controlnet_path)
         return (controlnet,)
 
 class DiffControlNetLoader:
@@ -824,7 +812,6 @@ class DiffControlNetLoader:
     def load_controlnet(self, model, control_net_name):
         controlnet_path = folder_paths.get_full_path_or_raise("controlnet", control_net_name)
         controlnet = comfy.controlnet.load_controlnet(controlnet_path, model)
-        populate_db_with_asset(["models", "controlnet"], control_net_name, controlnet_path)
         return (controlnet,)
 
 
@@ -932,7 +919,6 @@ class UNETLoader:
 
         unet_path = folder_paths.get_full_path_or_raise("diffusion_models", unet_name)
         model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options)
-        populate_db_with_asset(["models", "diffusion-model"], unet_name, unet_path)
         return (model,)
 
 class CLIPLoader:
@@ -960,7 +946,6 @@ class CLIPLoader:
 
         clip_path = folder_paths.get_full_path_or_raise("text_encoders", clip_name)
         clip = comfy.sd.load_clip(ckpt_paths=[clip_path], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options)
-        populate_db_with_asset(["models", "text-encoder"], clip_name, clip_path)
         return (clip,)
 
 class DualCLIPLoader:
@@ -991,8 +976,6 @@ class DualCLIPLoader:
             model_options["load_device"] = model_options["offload_device"] = torch.device("cpu")
 
         clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"), clip_type=clip_type, model_options=model_options)
-        populate_db_with_asset(["models", "text-encoder"], clip_name1, clip_path1)
-        populate_db_with_asset(["models", "text-encoder"], clip_name2, clip_path2)
         return (clip,)
 
 class CLIPVisionLoader:
@@ -1010,7 +993,6 @@ class CLIPVisionLoader:
         clip_vision = comfy.clip_vision.load(clip_path)
         if clip_vision is None:
             raise RuntimeError("ERROR: clip vision file is invalid and does not contain a valid vision model.")
-        populate_db_with_asset(["models", "clip-vision"], clip_name, clip_path)
         return (clip_vision,)
 
 class CLIPVisionEncode:
@@ -1045,7 +1027,6 @@ class StyleModelLoader:
     def load_style_model(self, style_model_name):
         style_model_path = folder_paths.get_full_path_or_raise("style_models", style_model_name)
         style_model = comfy.sd.load_style_model(style_model_path)
-        populate_db_with_asset(["models", "style-model"], style_model_name, style_model_path)
         return (style_model,)
 
 
@@ -1143,7 +1124,6 @@ class GLIGENLoader:
     def load_gligen(self, gligen_name):
         gligen_path = folder_paths.get_full_path_or_raise("gligen", gligen_name)
         gligen = comfy.sd.load_gligen(gligen_path)
-        populate_db_with_asset(["models", "gligen"], gligen_name, gligen_path)
         return (gligen,)
 
 class GLIGENTextBoxApply: