From c9d76dc382b2732eb9cabbf57a139cb20515d48e Mon Sep 17 00:00:00 2001
From: Adam Ladachowski <adam.ladachowski@gmail.com>
Date: Sun, 15 Feb 2026 21:45:23 +0100
Subject: [PATCH] Disable CORS

---
 .coverage                  |  Bin 151552 -> 159744 bytes
 pyproject.toml             |    1 +
 tensors/db.py              | 1130 ++++++++++++++++++------------------
 tensors/models.py          |  342 +++++++++++
 tensors/server/__init__.py |   10 +
 tests/test_db.py           |  100 ++--
 uv.lock                    |   96 +++
 7 files changed, 1073 insertions(+), 606 deletions(-)
 create mode 100644 tensors/models.py

diff --git a/.coverage b/.coverage
index 8bd6919157afcb53e59bef4e3e64d4b6b6b607c1..0c1aa4d7142d518e7a3ea5524ce4d1c011fd2ea4 100644
GIT binary patch
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diff --git a/pyproject.toml b/pyproject.toml
index ddf77af..31c1ffe 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,6 +11,7 @@ dependencies = [
     "typer>=0.15.0",
     "websocket-client>=1.9.0",
     "huggingface_hub>=0.25.0",
+    "sqlmodel>=0.0.33",
 ]
 
 [project.optional-dependencies]
diff --git a/tensors/db.py b/tensors/db.py
index 7089fa2..d2e5e56 100644
--- a/tensors/db.py
+++ b/tensors/db.py
@@ -1,48 +1,67 @@
-"""SQLite database for local model metadata and CivitAI cache."""
+"""SQLModel database for local model metadata and CivitAI/HuggingFace cache."""
 
 from __future__ import annotations
 
 import json
-import sqlite3
-from pathlib import Path
+from datetime import datetime
 from typing import TYPE_CHECKING, Any
 
+from sqlmodel import Session, col, func, select
+
 from tensors.config import DATA_DIR
+from tensors.models import (
+    Creator,
+    FileHash,
+    HFModel,
+    HFModelTag,
+    HFSafetensorFile,
+    ImageGenerationParam,
+    ImageResource,
+    LocalFile,
+    Model,
+    ModelTag,
+    ModelVersion,
+    SafetensorMetadata,
+    Tag,
+    TrainedWord,
+    VersionFile,
+    VersionImage,
+    create_tables,
+    get_engine,
+)
 from tensors.safetensor import compute_sha256, read_safetensor_metadata
 
 if TYPE_CHECKING:
+    from pathlib import Path
+
     from rich.console import Console
+    from sqlalchemy import Engine
 
 # Database location
 DB_PATH = DATA_DIR / "models.db"
 
-# Load schema from file
-_SCHEMA_PATH = Path(__file__).parent / "schema.sql"
-
 
 class Database:
-    """SQLite database wrapper for models metadata."""
+    """SQLModel database wrapper for models metadata."""
 
     def __init__(self, db_path: Path | None = None) -> None:
         """Initialize database connection."""
         self.db_path = db_path or DB_PATH
         self.db_path.parent.mkdir(parents=True, exist_ok=True)
-        self._conn: sqlite3.Connection | None = None
+        self._engine: Engine | None = None
 
     @property
-    def conn(self) -> sqlite3.Connection:
-        """Get or create database connection."""
-        if self._conn is None:
-            self._conn = sqlite3.connect(self.db_path)
-            self._conn.row_factory = sqlite3.Row
-            self._conn.execute("PRAGMA foreign_keys = ON")
-        return self._conn
+    def engine(self) -> Engine:
+        """Get or create database engine."""
+        if self._engine is None:
+            self._engine = get_engine(str(self.db_path))
+        return self._engine
 
     def close(self) -> None:
         """Close database connection."""
-        if self._conn is not None:
-            self._conn.close()
-            self._conn = None
+        if self._engine is not None:
+            self._engine.dispose()
+            self._engine = None
 
     def __enter__(self) -> Database:
         return self
@@ -51,10 +70,12 @@ class Database:
         self.close()
 
     def init_schema(self) -> None:
-        """Initialize database schema from schema.sql."""
-        schema = _SCHEMA_PATH.read_text()
-        self.conn.executescript(schema)
-        self.conn.commit()
+        """Initialize database schema."""
+        create_tables(self.engine)
+
+    def session(self) -> Session:
+        """Create a new session."""
+        return Session(self.engine)
 
     # =========================================================================
     # Local Files Operations
@@ -65,10 +86,7 @@ class Database:
         directory: Path,
         console: Console | None = None,
     ) -> list[dict[str, Any]]:
-        """Scan directory for safetensor files and add to database.
-
-        Returns list of scanned file info dicts.
-        """
+        """Scan directory for safetensor files and add to database."""
         results: list[dict[str, Any]] = []
         safetensor_files = list(directory.rglob("*.safetensors"))
 
@@ -80,18 +98,20 @@ class Database:
                 sha256 = compute_sha256(path)
                 metadata = read_safetensor_metadata(path)
 
-                file_info = self._upsert_local_file(
-                    file_path=str(path.resolve()),
-                    sha256=sha256,
-                    header_size=metadata.get("header_size"),
-                    tensor_count=metadata.get("tensor_count"),
-                )
+                with self.session() as session:
+                    file_info = self._upsert_local_file(
+                        session,
+                        file_path=str(path.resolve()),
+                        sha256=sha256,
+                        header_size=metadata.get("header_size"),
+                        tensor_count=metadata.get("tensor_count"),
+                    )
+                    self._store_safetensor_metadata(session, file_info.id, metadata.get("metadata", {}))
+                    session.commit()
+                    # Extract values before session closes
+                    result = {"id": file_info.id, "file_path": file_info.file_path, "sha256": file_info.sha256}
 
-                # Store safetensor metadata
-                self._store_safetensor_metadata(file_info["id"], metadata.get("metadata", {}))
-
-                results.append(file_info)
-                self.conn.commit()
+                results.append(result)
 
             except Exception as e:
                 if console:
@@ -101,100 +121,133 @@ class Database:
 
     def _upsert_local_file(
         self,
+        session: Session,
         file_path: str,
         sha256: str,
         header_size: int | None = None,
         tensor_count: int | None = None,
-    ) -> dict[str, Any]:
+    ) -> LocalFile:
         """Insert or update a local file record."""
-        cur = self.conn.cursor()
-
-        cur.execute("SELECT id FROM local_files WHERE file_path = ?", (file_path,))
-        existing = cur.fetchone()
+        existing = session.exec(select(LocalFile).where(LocalFile.file_path == file_path)).first()
 
         if existing:
-            cur.execute(
-                """
-                UPDATE local_files SET sha256 = ?, header_size = ?, tensor_count = ?,
-                updated_at = datetime('now') WHERE id = ?
-                """,
-                (sha256, header_size, tensor_count, existing["id"]),
-            )
-            file_id = existing["id"]
-        else:
-            cur.execute(
-                """
-                INSERT INTO local_files (file_path, sha256, header_size, tensor_count)
-                VALUES (?, ?, ?, ?)
-                """,
-                (file_path, sha256, header_size, tensor_count),
-            )
-            file_id = cur.lastrowid or 0  # lastrowid is always set after INSERT
+            existing.sha256 = sha256
+            existing.header_size = header_size
+            existing.tensor_count = tensor_count
+            existing.updated_at = datetime.utcnow()
+            session.add(existing)
+            return existing
 
-        return {"id": file_id, "file_path": file_path, "sha256": sha256}
+        local_file = LocalFile(
+            file_path=file_path,
+            sha256=sha256,
+            header_size=header_size,
+            tensor_count=tensor_count,
+        )
+        session.add(local_file)
+        session.flush()
+        return local_file
 
-    def _store_safetensor_metadata(self, local_file_id: int, metadata: dict[str, Any]) -> None:
+    def _store_safetensor_metadata(self, session: Session, local_file_id: int | None, metadata: dict[str, Any]) -> None:
         """Store safetensor header metadata."""
-        cur = self.conn.cursor()
+        if not local_file_id:
+            return
         for key, value in metadata.items():
             str_value = json.dumps(value) if not isinstance(value, str) else value
-            cur.execute(
-                """
-                INSERT INTO safetensor_metadata (local_file_id, key, value)
-                VALUES (?, ?, ?)
-                ON CONFLICT(local_file_id, key) DO UPDATE SET value = excluded.value
-                """,
-                (local_file_id, key, str_value),
-            )
+            existing = session.exec(
+                select(SafetensorMetadata).where(SafetensorMetadata.local_file_id == local_file_id, SafetensorMetadata.key == key)
+            ).first()
+            if existing:
+                existing.value = str_value
+                session.add(existing)
+            else:
+                session.add(SafetensorMetadata(local_file_id=local_file_id, key=key, value=str_value))
 
     def list_local_files(self) -> list[dict[str, Any]]:
         """List all local files with CivitAI info."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT * FROM v_local_files_full ORDER BY file_path")
-        return [dict(row) for row in cur.fetchall()]
+        with self.session() as session:
+            files = session.exec(select(LocalFile)).all()
+            results = []
+            for f in files:
+                model = None
+                if f.civitai_model_id:
+                    model = session.exec(select(Model).where(Model.civitai_id == f.civitai_model_id)).first()
+                version = None
+                if f.civitai_version_id:
+                    version = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == f.civitai_version_id)).first()
+                creator = None
+                if model and model.creator_id:
+                    creator = session.exec(select(Creator).where(Creator.id == model.creator_id)).first()
+                results.append(
+                    {
+                        "id": f.id,
+                        "file_path": f.file_path,
+                        "sha256": f.sha256,
+                        "header_size": f.header_size,
+                        "tensor_count": f.tensor_count,
+                        "civitai_model_id": f.civitai_model_id,
+                        "civitai_version_id": f.civitai_version_id,
+                        "model_name": model.name if model else None,
+                        "model_type": model.type if model else None,
+                        "version_name": version.name if version else None,
+                        "base_model": version.base_model if version else None,
+                        "creator": creator.username if creator else None,
+                    }
+                )
+            return results
 
     def get_local_file_by_path(self, file_path: str) -> dict[str, Any] | None:
         """Get local file by path."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT * FROM v_local_files_full WHERE file_path = ?", (file_path,))
-        row = cur.fetchone()
-        return dict(row) if row else None
+        with self.session() as session:
+            f = session.exec(select(LocalFile).where(LocalFile.file_path == file_path)).first()
+            if not f:
+                return None
+            model = None
+            if f.civitai_model_id:
+                model = session.exec(select(Model).where(Model.civitai_id == f.civitai_model_id)).first()
+            version = None
+            if f.civitai_version_id:
+                version = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == f.civitai_version_id)).first()
+            creator = None
+            if model and model.creator_id:
+                creator = session.exec(select(Creator).where(Creator.id == model.creator_id)).first()
+            return {
+                "id": f.id,
+                "file_path": f.file_path,
+                "sha256": f.sha256,
+                "civitai_model_id": f.civitai_model_id,
+                "civitai_version_id": f.civitai_version_id,
+                "model_name": model.name if model else None,
+                "model_type": model.type if model else None,
+                "version_name": version.name if version else None,
+                "base_model": version.base_model if version else None,
+                "creator": creator.username if creator else None,
+            }
 
     def get_local_file_by_hash(self, sha256: str) -> dict[str, Any] | None:
         """Get local file by SHA256 hash."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT * FROM v_local_files_full WHERE sha256 = ?", (sha256.upper(),))
-        row = cur.fetchone()
-        return dict(row) if row else None
+        with self.session() as session:
+            f = session.exec(select(LocalFile).where(LocalFile.sha256 == sha256.upper())).first()
+            if not f:
+                return None
+            return {"id": f.id, "file_path": f.file_path, "sha256": f.sha256}
 
     def get_unlinked_files(self) -> list[dict[str, Any]]:
         """Get local files not linked to CivitAI."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            SELECT id, file_path, sha256 FROM local_files
-            WHERE civitai_model_id IS NULL
-            """
-        )
-        return [dict(row) for row in cur.fetchall()]
+        with self.session() as session:
+            files = session.exec(select(LocalFile).where(LocalFile.civitai_model_id == None)).all()  # noqa: E711
+            return [{"id": f.id, "file_path": f.file_path, "sha256": f.sha256} for f in files]
 
-    def link_file_to_civitai(
-        self,
-        file_id: int,
-        model_id: int,
-        version_id: int,
-    ) -> None:
+    def link_file_to_civitai(self, file_id: int, model_id: int, version_id: int) -> None:
         """Link a local file to CivitAI model/version."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            UPDATE local_files
-            SET civitai_model_id = ?, civitai_version_id = ?, updated_at = datetime('now')
-            WHERE id = ?
-            """,
-            (model_id, version_id, file_id),
-        )
-        self.conn.commit()
+        with self.session() as session:
+            f = session.get(LocalFile, file_id)
+            if f:
+                f.civitai_model_id = model_id
+                f.civitai_version_id = version_id
+                f.updated_at = datetime.utcnow()
+                session.add(f)
+                session.commit()
 
     # =========================================================================
     # CivitAI Cache Operations
@@ -202,111 +255,88 @@ class Database:
 
     def get_version_by_hash(self, sha256: str) -> dict[str, Any] | None:
         """Find cached version by file hash."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            SELECT mv.civitai_id as version_id, m.civitai_id as model_id,
-                   m.name as model_name, mv.name as version_name
-            FROM file_hashes fh
-            JOIN version_files vf ON fh.file_id = vf.id
-            JOIN model_versions mv ON vf.version_id = mv.id
-            JOIN models m ON mv.model_id = m.id
-            WHERE UPPER(fh.hash_value) = UPPER(?)
-            """,
-            (sha256,),
-        )
-        row = cur.fetchone()
-        return dict(row) if row else None
+        with self.session() as session:
+            fh = session.exec(select(FileHash).where(FileHash.hash_value == sha256.upper())).first()
+            if not fh:
+                return None
+            vf = session.get(VersionFile, fh.file_id)
+            if not vf:
+                return None
+            mv = session.get(ModelVersion, vf.version_id)
+            if not mv:
+                return None
+            m = session.get(Model, mv.model_id)
+            return {
+                "version_id": mv.civitai_id,
+                "model_id": m.civitai_id if m else None,
+                "model_name": m.name if m else None,
+                "version_name": mv.name,
+            }
 
     def cache_model(self, data: dict[str, Any]) -> int:
-        """Cache full model data from CivitAI API response.
+        """Cache full model data from CivitAI API response."""
+        with self.session() as session:
+            creator_id = self._get_or_create_creator(session, data.get("creator"))
+            civitai_id = data.get("id")
+            existing = session.exec(select(Model).where(Model.civitai_id == civitai_id)).first()
+            stats = data.get("stats", {})
 
-        Returns the internal model ID.
-        """
-        cur = self.conn.cursor()
+            if existing:
+                existing.name = data.get("name", existing.name)
+                existing.description = data.get("description")
+                existing.type = data.get("type", existing.type)
+                existing.nsfw = bool(data.get("nsfw"))
+                existing.download_count = stats.get("downloadCount", 0)
+                existing.thumbs_up_count = stats.get("thumbsUpCount", 0)
+                existing.updated_at = datetime.utcnow()
+                session.add(existing)
+                model_id = existing.id
+            else:
+                model = Model(
+                    civitai_id=civitai_id,
+                    name=data.get("name", ""),
+                    description=data.get("description"),
+                    type=data.get("type", ""),
+                    nsfw=bool(data.get("nsfw")),
+                    poi=bool(data.get("poi")),
+                    minor=bool(data.get("minor")),
+                    sfw_only=bool(data.get("sfwOnly")),
+                    nsfw_level=data.get("nsfwLevel"),
+                    availability=data.get("availability"),
+                    allow_no_credit=bool(data.get("allowNoCredit")),
+                    allow_commercial_use=str(data.get("allowCommercialUse", "")),
+                    allow_derivatives=bool(data.get("allowDerivatives")),
+                    allow_different_license=bool(data.get("allowDifferentLicense")),
+                    supports_generation=bool(data.get("supportsGeneration")),
+                    creator_id=creator_id,
+                    download_count=stats.get("downloadCount", 0),
+                    thumbs_up_count=stats.get("thumbsUpCount", 0),
+                    thumbs_down_count=stats.get("thumbsDownCount", 0),
+                    comment_count=stats.get("commentCount", 0),
+                    tipped_amount_count=stats.get("tippedAmountCount", 0),
+                )
+                session.add(model)
+                session.flush()
+                model_id = model.id
 
-        # Get or create creator
-        creator_id = self._get_or_create_creator(data.get("creator"))
+            # Cache tags
+            for tag_name in data.get("tags", []):
+                tag_id = self._get_or_create_tag(session, tag_name)
+                if model_id and tag_id:
+                    existing_mt = session.exec(
+                        select(ModelTag).where(ModelTag.model_id == model_id, ModelTag.tag_id == tag_id)
+                    ).first()
+                    if not existing_mt:
+                        session.add(ModelTag(model_id=model_id, tag_id=tag_id))
 
-        # Check if model exists
-        civitai_id = data.get("id")
-        cur.execute("SELECT id FROM models WHERE civitai_id = ?", (civitai_id,))
-        existing = cur.fetchone()
+            # Cache versions
+            for idx, version in enumerate(data.get("modelVersions", [])):
+                self._cache_version(session, model_id, version, idx)
 
-        stats = data.get("stats", {})
+            session.commit()
+            return model_id or 0
 
-        if existing:
-            model_id = int(existing["id"])
-            cur.execute(
-                """
-                UPDATE models SET
-                    name = ?, description = ?, type = ?, nsfw = ?,
-                    download_count = ?, thumbs_up_count = ?,
-                    updated_at = datetime('now')
-                WHERE id = ?
-                """,
-                (
-                    data.get("name"),
-                    data.get("description"),
-                    data.get("type"),
-                    1 if data.get("nsfw") else 0,
-                    stats.get("downloadCount", 0),
-                    stats.get("thumbsUpCount", 0),
-                    model_id,
-                ),
-            )
-        else:
-            cur.execute(
-                """
-                INSERT INTO models (
-                    civitai_id, name, description, type, nsfw, poi, minor,
-                    sfw_only, nsfw_level, availability, allow_no_credit,
-                    allow_commercial_use, allow_derivatives, allow_different_license,
-                    supports_generation, creator_id, download_count, thumbs_up_count,
-                    thumbs_down_count, comment_count, tipped_amount_count,
-                    created_at, updated_at
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, datetime('now'))
-                """,
-                (
-                    civitai_id,
-                    data.get("name"),
-                    data.get("description"),
-                    data.get("type"),
-                    1 if data.get("nsfw") else 0,
-                    1 if data.get("poi") else 0,
-                    1 if data.get("minor") else 0,
-                    1 if data.get("sfwOnly") else 0,
-                    data.get("nsfwLevel"),
-                    data.get("availability"),
-                    1 if data.get("allowNoCredit") else 0,
-                    str(data.get("allowCommercialUse", "")),
-                    1 if data.get("allowDerivatives") else 0,
-                    1 if data.get("allowDifferentLicense") else 0,
-                    1 if data.get("supportsGeneration") else 0,
-                    creator_id,
-                    stats.get("downloadCount", 0),
-                    stats.get("thumbsUpCount", 0),
-                    stats.get("thumbsDownCount", 0),
-                    stats.get("commentCount", 0),
-                    stats.get("tippedAmountCount", 0),
-                    data.get("createdAt"),
-                ),
-            )
-            model_id = cur.lastrowid or 0  # lastrowid is always set after INSERT
-
-        # Cache tags
-        for tag_name in data.get("tags", []):
-            tag_id = self._get_or_create_tag(tag_name)
-            cur.execute("INSERT OR IGNORE INTO model_tags (model_id, tag_id) VALUES (?, ?)", (model_id, tag_id))
-
-        # Cache versions
-        for idx, version in enumerate(data.get("modelVersions", [])):
-            self._cache_version(model_id, version, idx)
-
-        self.conn.commit()
-        return model_id
-
-    def _get_or_create_creator(self, creator_data: dict[str, Any] | None) -> int | None:
+    def _get_or_create_creator(self, session: Session, creator_data: dict[str, Any] | None) -> int | None:
         """Get or create a creator record."""
         if not creator_data:
             return None
@@ -314,180 +344,148 @@ class Database:
         if not username:
             return None
 
-        cur = self.conn.cursor()
-        cur.execute("SELECT id FROM creators WHERE username = ?", (username,))
-        row = cur.fetchone()
-        if row:
-            return int(row["id"])
+        existing = session.exec(select(Creator).where(Creator.username == username)).first()
+        if existing:
+            return existing.id
 
-        cur.execute(
-            "INSERT INTO creators (username, image_url) VALUES (?, ?)",
-            (username, creator_data.get("image")),
-        )
-        return cur.lastrowid or 0
+        creator = Creator(username=username, image_url=creator_data.get("image"))
+        session.add(creator)
+        session.flush()
+        return creator.id
 
-    def _get_or_create_tag(self, tag_name: str) -> int:
+    def _get_or_create_tag(self, session: Session, tag_name: str) -> int | None:
         """Get or create a tag record."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT id FROM tags WHERE name = ?", (tag_name,))
-        row = cur.fetchone()
-        if row:
-            return int(row["id"])
+        existing = session.exec(select(Tag).where(Tag.name == tag_name)).first()
+        if existing:
+            return existing.id
 
-        cur.execute("INSERT INTO tags (name) VALUES (?)", (tag_name,))
-        return cur.lastrowid or 0  # lastrowid is always set after INSERT
+        tag = Tag(name=tag_name)
+        session.add(tag)
+        session.flush()
+        return tag.id
 
-    def _cache_version(self, model_id: int, version: dict[str, Any], index: int) -> int:
+    def _cache_version(self, session: Session, model_id: int | None, version: dict[str, Any], index: int) -> int | None:
         """Cache a model version."""
-        cur = self.conn.cursor()
+        if not model_id:
+            return None
         civitai_id = version.get("id")
-
-        cur.execute("SELECT id FROM model_versions WHERE civitai_id = ?", (civitai_id,))
-        existing = cur.fetchone()
-
+        existing = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == civitai_id)).first()
         stats = version.get("stats", {})
 
         if existing:
-            version_id = int(existing["id"])
+            version_id = existing.id
         else:
-            cur.execute(
-                """
-                INSERT INTO model_versions (
-                    civitai_id, model_id, name, description, base_model,
-                    base_model_type, nsfw_level, status, availability,
-                    download_count, thumbs_up_count, thumbs_down_count,
-                    supports_generation, download_url, created_at, published_at,
-                    updated_at, version_index
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-                """,
-                (
-                    civitai_id,
-                    model_id,
-                    version.get("name"),
-                    version.get("description"),
-                    version.get("baseModel"),
-                    version.get("baseModelType"),
-                    version.get("nsfwLevel"),
-                    version.get("status"),
-                    version.get("availability"),
-                    stats.get("downloadCount", 0),
-                    stats.get("thumbsUpCount", 0),
-                    stats.get("thumbsDownCount", 0),
-                    1 if version.get("supportsGeneration") else 0,
-                    version.get("downloadUrl"),
-                    version.get("createdAt"),
-                    version.get("publishedAt"),
-                    version.get("updatedAt"),
-                    index,
-                ),
+            mv = ModelVersion(
+                civitai_id=civitai_id,
+                model_id=model_id,
+                name=version.get("name", ""),
+                description=version.get("description"),
+                base_model=version.get("baseModel"),
+                base_model_type=version.get("baseModelType"),
+                nsfw_level=version.get("nsfwLevel"),
+                status=version.get("status"),
+                availability=version.get("availability"),
+                download_count=stats.get("downloadCount", 0),
+                thumbs_up_count=stats.get("thumbsUpCount", 0),
+                thumbs_down_count=stats.get("thumbsDownCount", 0),
+                supports_generation=bool(version.get("supportsGeneration")),
+                download_url=version.get("downloadUrl"),
+                version_index=index,
             )
-            version_id = cur.lastrowid or 0  # lastrowid is always set after INSERT
+            session.add(mv)
+            session.flush()
+            version_id = mv.id
 
         # Cache trained words
         for pos, word in enumerate(version.get("trainedWords", [])):
-            cur.execute(
-                "INSERT OR IGNORE INTO trained_words (version_id, word, position) VALUES (?, ?, ?)",
-                (version_id, word, pos),
-            )
+            existing_tw = session.exec(
+                select(TrainedWord).where(TrainedWord.version_id == version_id, TrainedWord.word == word)
+            ).first()
+            if not existing_tw:
+                session.add(TrainedWord(version_id=version_id, word=word, position=pos))
 
-        # Cache files and hashes
+        # Cache files
         for file_data in version.get("files", []):
-            self._cache_file(version_id, file_data)
+            self._cache_file(session, version_id, file_data)
 
         # Cache images
         for image_data in version.get("images", []):
-            self._cache_image(version_id, image_data)
+            self._cache_image(session, version_id, image_data)
 
         return version_id
 
-    def _cache_file(self, version_id: int, file_data: dict[str, Any]) -> int | None:
+    def _cache_file(self, session: Session, version_id: int | None, file_data: dict[str, Any]) -> int | None:
         """Cache a version file."""
-        cur = self.conn.cursor()
+        if not version_id:
+            return None
         civitai_id = file_data.get("id")
         if not civitai_id:
             return None
 
-        cur.execute("SELECT id FROM version_files WHERE civitai_id = ?", (civitai_id,))
-        existing = cur.fetchone()
-
+        existing = session.exec(select(VersionFile).where(VersionFile.civitai_id == civitai_id)).first()
         if existing:
-            return int(existing["id"])
+            return existing.id
 
         meta = file_data.get("metadata", {})
-        cur.execute(
-            """
-            INSERT INTO version_files (
-                civitai_id, version_id, name, type, size_kb, format,
-                size_type, fp, is_primary, pickle_scan_result,
-                virus_scan_result, scanned_at, download_url
-            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """,
-            (
-                civitai_id,
-                version_id,
-                file_data.get("name"),
-                file_data.get("type"),
-                file_data.get("sizeKB"),
-                meta.get("format"),
-                meta.get("size"),
-                meta.get("fp"),
-                1 if file_data.get("primary") else 0,
-                file_data.get("pickleScanResult"),
-                file_data.get("virusScanResult"),
-                file_data.get("scannedAt"),
-                file_data.get("downloadUrl"),
-            ),
+        vf = VersionFile(
+            civitai_id=civitai_id,
+            version_id=version_id,
+            name=file_data.get("name", ""),
+            type=file_data.get("type"),
+            size_kb=file_data.get("sizeKB"),
+            format=meta.get("format"),
+            size_type=meta.get("size"),
+            fp=meta.get("fp"),
+            is_primary=bool(file_data.get("primary")),
+            pickle_scan_result=file_data.get("pickleScanResult"),
+            virus_scan_result=file_data.get("virusScanResult"),
+            download_url=file_data.get("downloadUrl"),
         )
-        file_id = cur.lastrowid or 0  # lastrowid is always set after INSERT
+        session.add(vf)
+        session.flush()
+        file_id = vf.id
 
         # Cache hashes
         for hash_type, hash_value in file_data.get("hashes", {}).items():
-            cur.execute(
-                "INSERT OR IGNORE INTO file_hashes (file_id, hash_type, hash_value) VALUES (?, ?, ?)",
-                (file_id, hash_type, hash_value),
-            )
+            existing_fh = session.exec(
+                select(FileHash).where(FileHash.file_id == file_id, FileHash.hash_type == hash_type)
+            ).first()
+            if not existing_fh:
+                session.add(FileHash(file_id=file_id, hash_type=hash_type, hash_value=hash_value))
 
         return file_id
 
-    def _cache_image(self, version_id: int, image_data: dict[str, Any]) -> int | None:
+    def _cache_image(self, session: Session, version_id: int | None, image_data: dict[str, Any]) -> int | None:
         """Cache a version image."""
-        cur = self.conn.cursor()
+        if not version_id:
+            return None
         url = image_data.get("url")
         if not url:
             return None
 
-        cur.execute("SELECT id FROM version_images WHERE url = ?", (url,))
-        existing = cur.fetchone()
-
+        existing = session.exec(select(VersionImage).where(VersionImage.url == url)).first()
         if existing:
-            return int(existing["id"])
+            return existing.id
 
-        cur.execute(
-            """
-            INSERT INTO version_images (
-                civitai_id, version_id, url, type, nsfw_level, width,
-                height, hash, has_meta, has_positive_prompt, on_site,
-                minor, poi, availability
-            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """,
-            (
-                image_data.get("id"),
-                version_id,
-                url,
-                image_data.get("type"),
-                image_data.get("nsfwLevel"),
-                image_data.get("width"),
-                image_data.get("height"),
-                image_data.get("hash"),
-                1 if image_data.get("hasMeta") else 0,
-                1 if image_data.get("hasPositivePrompt") else 0,
-                1 if image_data.get("onSite") else 0,
-                1 if image_data.get("minor") else 0,
-                1 if image_data.get("poi") else 0,
-                image_data.get("availability"),
-            ),
+        vi = VersionImage(
+            civitai_id=image_data.get("id"),
+            version_id=version_id,
+            url=url,
+            type=image_data.get("type"),
+            nsfw_level=image_data.get("nsfwLevel"),
+            width=image_data.get("width"),
+            height=image_data.get("height"),
+            hash=image_data.get("hash"),
+            has_meta=bool(image_data.get("hasMeta")),
+            has_positive_prompt=bool(image_data.get("hasPositivePrompt")),
+            on_site=bool(image_data.get("onSite")),
+            minor=bool(image_data.get("minor")),
+            poi=bool(image_data.get("poi")),
+            availability=image_data.get("availability"),
         )
-        image_id = cur.lastrowid or 0  # lastrowid is always set after INSERT
+        session.add(vi)
+        session.flush()
+        image_id = vi.id
 
         # Cache generation params
         meta = image_data.get("meta", {})
@@ -495,20 +493,170 @@ class Database:
             if key == "resources":
                 continue
             str_value = str(value) if value is not None else None
-            cur.execute(
-                "INSERT OR IGNORE INTO image_generation_params (image_id, key, value) VALUES (?, ?, ?)",
-                (image_id, key, str_value),
-            )
+            session.add(ImageGenerationParam(image_id=image_id, key=key, value=str_value))
 
         # Cache resources
         for res in meta.get("resources", []):
-            cur.execute(
-                "INSERT INTO image_resources (image_id, name, type, hash, weight) VALUES (?, ?, ?, ?, ?)",
-                (image_id, res.get("name"), res.get("type"), res.get("hash"), res.get("weight")),
+            session.add(
+                ImageResource(
+                    image_id=image_id,
+                    name=res.get("name", ""),
+                    type=res.get("type"),
+                    hash=res.get("hash"),
+                    weight=res.get("weight"),
+                )
             )
 
         return image_id
 
+    # =========================================================================
+    # HuggingFace Cache Operations
+    # =========================================================================
+
+    def cache_hf_model(self, data: dict[str, Any]) -> int:
+        """Cache HuggingFace model data."""
+        repo_id = data.get("repo_id") or data.get("id") or data.get("modelId")
+        if not repo_id:
+            raise ValueError("repo_id is required")
+
+        author = data.get("author")
+        model_name = repo_id
+        if "/" in repo_id:
+            parts = repo_id.split("/", 1)
+            author = author or parts[0]
+            model_name = parts[1]
+
+        with self.session() as session:
+            existing = session.exec(select(HFModel).where(HFModel.repo_id == repo_id)).first()
+
+            if existing:
+                existing.author = author
+                existing.model_name = model_name
+                existing.pipeline_tag = data.get("pipeline_tag")
+                existing.library_name = data.get("library_name")
+                existing.downloads = data.get("downloads", 0)
+                existing.likes = data.get("likes", 0)
+                existing.trending_score = data.get("trending_score")
+                existing.is_private = bool(data.get("private"))
+                existing.is_gated = bool(data.get("gated"))
+                existing.last_modified = data.get("last_modified") or data.get("lastModified")
+                existing.updated_at = datetime.utcnow()
+                session.add(existing)
+                model_id = existing.id
+            else:
+                hf_model = HFModel(
+                    repo_id=repo_id,
+                    author=author,
+                    model_name=model_name,
+                    pipeline_tag=data.get("pipeline_tag"),
+                    library_name=data.get("library_name"),
+                    downloads=data.get("downloads", 0),
+                    likes=data.get("likes", 0),
+                    trending_score=data.get("trending_score"),
+                    is_private=bool(data.get("private")),
+                    is_gated=bool(data.get("gated")),
+                    last_modified=data.get("last_modified") or data.get("lastModified"),
+                    created_at=data.get("created_at") or data.get("createdAt"),
+                )
+                session.add(hf_model)
+                session.flush()
+                model_id = hf_model.id
+
+            # Cache tags
+            for tag in data.get("tags", []):
+                existing_tag = session.exec(
+                    select(HFModelTag).where(HFModelTag.hf_model_id == model_id, HFModelTag.tag == tag)
+                ).first()
+                if not existing_tag:
+                    session.add(HFModelTag(hf_model_id=model_id, tag=tag))
+
+            # Cache safetensor files
+            for file_info in data.get("safetensor_files", []):
+                if isinstance(file_info, str):
+                    existing_sf = session.exec(
+                        select(HFSafetensorFile).where(
+                            HFSafetensorFile.hf_model_id == model_id, HFSafetensorFile.filename == file_info
+                        )
+                    ).first()
+                    if not existing_sf:
+                        session.add(HFSafetensorFile(hf_model_id=model_id, filename=file_info))
+                elif isinstance(file_info, dict):
+                    filename = file_info.get("filename")
+                    if filename:
+                        existing_sf = session.exec(
+                            select(HFSafetensorFile).where(
+                                HFSafetensorFile.hf_model_id == model_id, HFSafetensorFile.filename == filename
+                            )
+                        ).first()
+                        if not existing_sf:
+                            session.add(
+                                HFSafetensorFile(hf_model_id=model_id, filename=filename, size_bytes=file_info.get("size"))
+                            )
+
+            session.commit()
+            return model_id or 0
+
+    def search_hf_models(
+        self,
+        query: str | None = None,
+        author: str | None = None,
+        pipeline_tag: str | None = None,
+        limit: int = 20,
+    ) -> list[dict[str, Any]]:
+        """Search cached HuggingFace models."""
+        with self.session() as session:
+            stmt = select(HFModel)
+
+            if query:
+                stmt = stmt.where(col(HFModel.repo_id).contains(query) | col(HFModel.model_name).contains(query))
+            if author:
+                stmt = stmt.where(HFModel.author == author)
+            if pipeline_tag:
+                stmt = stmt.where(HFModel.pipeline_tag == pipeline_tag)
+
+            stmt = stmt.order_by(col(HFModel.downloads).desc()).limit(limit)
+            models = session.exec(stmt).all()
+
+            return [
+                {
+                    "id": m.id,
+                    "repo_id": m.repo_id,
+                    "author": m.author,
+                    "model_name": m.model_name,
+                    "pipeline_tag": m.pipeline_tag,
+                    "downloads": m.downloads,
+                    "likes": m.likes,
+                    "is_gated": m.is_gated,
+                }
+                for m in models
+            ]
+
+    def get_hf_model(self, repo_id: str) -> dict[str, Any] | None:
+        """Get cached HF model by repo_id."""
+        with self.session() as session:
+            m = session.exec(select(HFModel).where(HFModel.repo_id == repo_id)).first()
+            if not m:
+                return None
+            return {
+                "id": m.id,
+                "repo_id": m.repo_id,
+                "author": m.author,
+                "model_name": m.model_name,
+                "pipeline_tag": m.pipeline_tag,
+                "downloads": m.downloads,
+                "likes": m.likes,
+                "is_gated": m.is_gated,
+            }
+
+    def get_hf_safetensor_files(self, repo_id: str) -> list[dict[str, Any]]:
+        """Get safetensor files for an HF model."""
+        with self.session() as session:
+            m = session.exec(select(HFModel).where(HFModel.repo_id == repo_id)).first()
+            if not m:
+                return []
+            files = session.exec(select(HFSafetensorFile).where(HFSafetensorFile.hf_model_id == m.id)).all()
+            return [{"filename": f.filename, "size_bytes": f.size_bytes} for f in files]
+
     # =========================================================================
     # Query Operations
     # =========================================================================
@@ -520,227 +668,92 @@ class Database:
         base_model: str | None = None,
         limit: int = 20,
     ) -> list[dict[str, Any]]:
-        """Search cached models."""
-        cur = self.conn.cursor()
+        """Search cached CivitAI models."""
+        with self.session() as session:
+            stmt = select(Model)
 
-        sql = "SELECT * FROM v_models_with_latest WHERE 1=1"
-        params: list[Any] = []
+            if query:
+                stmt = stmt.where(col(Model.name).contains(query))
+            if model_type:
+                stmt = stmt.where(Model.type == model_type)
 
-        if query:
-            sql += " AND name LIKE ?"
-            params.append(f"%{query}%")
+            stmt = stmt.order_by(col(Model.download_count).desc()).limit(limit)
+            models = session.exec(stmt).all()
 
-        if model_type:
-            sql += " AND type = ?"
-            params.append(model_type)
+            results = []
+            for m in models:
+                # Get latest version
+                latest = session.exec(
+                    select(ModelVersion).where(ModelVersion.model_id == m.id, ModelVersion.version_index == 0)
+                ).first()
+                creator = session.get(Creator, m.creator_id) if m.creator_id else None
 
-        if base_model:
-            sql += " AND base_model LIKE ?"
-            params.append(f"%{base_model}%")
+                # Filter by base_model if specified
+                if base_model and latest and latest.base_model and base_model.lower() not in latest.base_model.lower():
+                    continue
 
-        sql += " ORDER BY download_count DESC LIMIT ?"
-        params.append(limit)
+                results.append(
+                    {
+                        "id": m.id,
+                        "civitai_id": m.civitai_id,
+                        "name": m.name,
+                        "type": m.type,
+                        "nsfw": m.nsfw,
+                        "creator": creator.username if creator else None,
+                        "latest_version": latest.name if latest else None,
+                        "base_model": latest.base_model if latest else None,
+                        "download_count": m.download_count,
+                        "thumbs_up_count": m.thumbs_up_count,
+                    }
+                )
 
-        cur.execute(sql, params)
-        return [dict(row) for row in cur.fetchall()]
+            return results[:limit]
 
     def get_model(self, civitai_id: int) -> dict[str, Any] | None:
         """Get cached model by CivitAI ID."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT * FROM v_models_with_latest WHERE civitai_id = ?", (civitai_id,))
-        row = cur.fetchone()
-        return dict(row) if row else None
+        with self.session() as session:
+            m = session.exec(select(Model).where(Model.civitai_id == civitai_id)).first()
+            if not m:
+                return None
+            latest = session.exec(
+                select(ModelVersion).where(ModelVersion.model_id == m.id, ModelVersion.version_index == 0)
+            ).first()
+            creator = session.get(Creator, m.creator_id) if m.creator_id else None
+            return {
+                "id": m.id,
+                "civitai_id": m.civitai_id,
+                "name": m.name,
+                "type": m.type,
+                "creator": creator.username if creator else None,
+                "latest_version": latest.name if latest else None,
+                "base_model": latest.base_model if latest else None,
+                "download_count": m.download_count,
+            }
 
     def get_triggers(self, file_path: str) -> list[str]:
         """Get trigger words for a local file."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            SELECT tw.word
-            FROM trained_words tw
-            JOIN model_versions mv ON tw.version_id = mv.id
-            JOIN local_files lf ON lf.civitai_version_id = mv.civitai_id
-            WHERE lf.file_path = ?
-            ORDER BY tw.position
-            """,
-            (file_path,),
-        )
-        return [row["word"] for row in cur.fetchall()]
+        with self.session() as session:
+            lf = session.exec(select(LocalFile).where(LocalFile.file_path == file_path)).first()
+            if not lf or not lf.civitai_version_id:
+                return []
+            mv = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == lf.civitai_version_id)).first()
+            if not mv:
+                return []
+            words = session.exec(
+                select(TrainedWord).where(TrainedWord.version_id == mv.id).order_by(col(TrainedWord.position))
+            ).all()
+            return [w.word for w in words]
 
     def get_triggers_by_version(self, version_id: int) -> list[str]:
         """Get trigger words for a version by CivitAI version ID."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            SELECT tw.word
-            FROM trained_words tw
-            JOIN model_versions mv ON tw.version_id = mv.id
-            WHERE mv.civitai_id = ?
-            ORDER BY tw.position
-            """,
-            (version_id,),
-        )
-        return [row["word"] for row in cur.fetchall()]
-
-    # =========================================================================
-    # HuggingFace Cache Operations
-    # =========================================================================
-
-    def cache_hf_model(self, data: dict[str, Any]) -> int:
-        """Cache HuggingFace model data.
-
-        Args:
-            data: Model data dict with keys like repo_id, author, downloads, etc.
-
-        Returns the internal model ID.
-        """
-        cur = self.conn.cursor()
-
-        repo_id = data.get("repo_id") or data.get("id") or data.get("modelId")
-        if not repo_id:
-            raise ValueError("repo_id is required")
-
-        # Parse author from repo_id if not provided
-        author = data.get("author")
-        model_name = repo_id
-        if "/" in repo_id:
-            parts = repo_id.split("/", 1)
-            author = author or parts[0]
-            model_name = parts[1]
-
-        # Check if model exists
-        cur.execute("SELECT id FROM hf_models WHERE repo_id = ?", (repo_id,))
-        existing = cur.fetchone()
-
-        if existing:
-            model_id = int(existing["id"])
-            cur.execute(
-                """
-                UPDATE hf_models SET
-                    author = ?, model_name = ?, pipeline_tag = ?, library_name = ?,
-                    downloads = ?, likes = ?, trending_score = ?,
-                    is_private = ?, is_gated = ?, last_modified = ?,
-                    updated_at = datetime('now')
-                WHERE id = ?
-                """,
-                (
-                    author,
-                    model_name,
-                    data.get("pipeline_tag"),
-                    data.get("library_name"),
-                    data.get("downloads", 0),
-                    data.get("likes", 0),
-                    data.get("trending_score"),
-                    1 if data.get("private") else 0,
-                    1 if data.get("gated") else 0,
-                    data.get("last_modified") or data.get("lastModified"),
-                    model_id,
-                ),
-            )
-        else:
-            cur.execute(
-                """
-                INSERT INTO hf_models (
-                    repo_id, author, model_name, pipeline_tag, library_name,
-                    downloads, likes, trending_score, is_private, is_gated,
-                    last_modified, created_at
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-                """,
-                (
-                    repo_id,
-                    author,
-                    model_name,
-                    data.get("pipeline_tag"),
-                    data.get("library_name"),
-                    data.get("downloads", 0),
-                    data.get("likes", 0),
-                    data.get("trending_score"),
-                    1 if data.get("private") else 0,
-                    1 if data.get("gated") else 0,
-                    data.get("last_modified") or data.get("lastModified"),
-                    data.get("created_at") or data.get("createdAt"),
-                ),
-            )
-            model_id = cur.lastrowid or 0
-
-        # Cache tags
-        for tag in data.get("tags", []):
-            cur.execute(
-                "INSERT OR IGNORE INTO hf_model_tags (hf_model_id, tag) VALUES (?, ?)",
-                (model_id, tag),
-            )
-
-        # Cache safetensor files
-        for file_info in data.get("safetensor_files", []):
-            if isinstance(file_info, str):
-                cur.execute(
-                    "INSERT OR IGNORE INTO hf_safetensor_files (hf_model_id, filename) VALUES (?, ?)",
-                    (model_id, file_info),
-                )
-            elif isinstance(file_info, dict):
-                cur.execute(
-                    """
-                    INSERT OR IGNORE INTO hf_safetensor_files (hf_model_id, filename, size_bytes)
-                    VALUES (?, ?, ?)
-                    """,
-                    (model_id, file_info.get("filename"), file_info.get("size")),
-                )
-
-        self.conn.commit()
-        return model_id
-
-    def search_hf_models(
-        self,
-        query: str | None = None,
-        author: str | None = None,
-        pipeline_tag: str | None = None,
-        limit: int = 20,
-    ) -> list[dict[str, Any]]:
-        """Search cached HuggingFace models."""
-        cur = self.conn.cursor()
-
-        sql = "SELECT * FROM v_hf_models WHERE 1=1"
-        params: list[Any] = []
-
-        if query:
-            sql += " AND (repo_id LIKE ? OR model_name LIKE ?)"
-            params.extend([f"%{query}%", f"%{query}%"])
-
-        if author:
-            sql += " AND author = ?"
-            params.append(author)
-
-        if pipeline_tag:
-            sql += " AND pipeline_tag = ?"
-            params.append(pipeline_tag)
-
-        sql += " ORDER BY downloads DESC LIMIT ?"
-        params.append(limit)
-
-        cur.execute(sql, params)
-        return [dict(row) for row in cur.fetchall()]
-
-    def get_hf_model(self, repo_id: str) -> dict[str, Any] | None:
-        """Get cached HF model by repo_id."""
-        cur = self.conn.cursor()
-        cur.execute("SELECT * FROM v_hf_models WHERE repo_id = ?", (repo_id,))
-        row = cur.fetchone()
-        return dict(row) if row else None
-
-    def get_hf_safetensor_files(self, repo_id: str) -> list[dict[str, Any]]:
-        """Get safetensor files for an HF model."""
-        cur = self.conn.cursor()
-        cur.execute(
-            """
-            SELECT hsf.filename, hsf.size_bytes
-            FROM hf_safetensor_files hsf
-            JOIN hf_models hm ON hsf.hf_model_id = hm.id
-            WHERE hm.repo_id = ?
-            ORDER BY hsf.filename
-            """,
-            (repo_id,),
-        )
-        return [dict(row) for row in cur.fetchall()]
+        with self.session() as session:
+            mv = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == version_id)).first()
+            if not mv:
+                return []
+            words = session.exec(
+                select(TrainedWord).where(TrainedWord.version_id == mv.id).order_by(col(TrainedWord.position))
+            ).all()
+            return [w.word for w in words]
 
     # =========================================================================
     # Statistics
@@ -748,19 +761,16 @@ class Database:
 
     def get_stats(self) -> dict[str, int]:
         """Get database statistics."""
-        cur = self.conn.cursor()
-        stats = {}
-        for table in [
-            "local_files",
-            "models",
-            "model_versions",
-            "version_files",
-            "trained_words",
-            "creators",
-            "tags",
-            "hf_models",
-            "hf_safetensor_files",
-        ]:
-            cur.execute(f"SELECT COUNT(*) FROM {table}")
-            stats[table] = cur.fetchone()[0]
-        return stats
+        with self.session() as session:
+            stats = {
+                "local_files": session.exec(select(func.count(col(LocalFile.id)))).one(),
+                "models": session.exec(select(func.count(col(Model.id)))).one(),
+                "model_versions": session.exec(select(func.count(col(ModelVersion.id)))).one(),
+                "version_files": session.exec(select(func.count(col(VersionFile.id)))).one(),
+                "trained_words": session.exec(select(func.count(col(TrainedWord.id)))).one(),
+                "creators": session.exec(select(func.count(col(Creator.id)))).one(),
+                "tags": session.exec(select(func.count(col(Tag.id)))).one(),
+                "hf_models": session.exec(select(func.count(col(HFModel.id)))).one(),
+                "hf_safetensor_files": session.exec(select(func.count(col(HFSafetensorFile.id)))).one(),
+            }
+            return stats
diff --git a/tensors/models.py b/tensors/models.py
new file mode 100644
index 0000000..bcce596
--- /dev/null
+++ b/tensors/models.py
@@ -0,0 +1,342 @@
+"""SQLModel database models for tensors."""
+
+from datetime import datetime
+from typing import Any, Optional
+
+from sqlmodel import Field, Relationship, SQLModel
+
+# =============================================================================
+# Local Files
+# =============================================================================
+
+
+class LocalFile(SQLModel, table=True):
+    """Local safetensor file."""
+
+    __tablename__ = "local_files"
+
+    id: int | None = Field(default=None, primary_key=True)
+    file_path: str = Field(unique=True)
+    sha256: str = Field(index=True)
+    header_size: int | None = None
+    tensor_count: int | None = None
+    civitai_model_id: int | None = Field(default=None, index=True)
+    civitai_version_id: int | None = None
+    created_at: datetime | None = Field(default_factory=datetime.utcnow)
+    updated_at: datetime | None = Field(default_factory=datetime.utcnow)
+
+    metadata_entries: list["SafetensorMetadata"] = Relationship(back_populates="local_file")
+
+
+class SafetensorMetadata(SQLModel, table=True):
+    """Safetensor header metadata key-value pairs."""
+
+    __tablename__ = "safetensor_metadata"
+
+    id: int | None = Field(default=None, primary_key=True)
+    local_file_id: int = Field(foreign_key="local_files.id", index=True)
+    key: str
+    value: str | None = None
+
+    local_file: "LocalFile" = Relationship(back_populates="metadata_entries")
+
+
+# =============================================================================
+# CivitAI Models
+# =============================================================================
+
+
+class Creator(SQLModel, table=True):
+    """CivitAI model creator."""
+
+    __tablename__ = "creators"
+
+    id: int | None = Field(default=None, primary_key=True)
+    username: str = Field(unique=True)
+    image_url: str | None = None
+
+    models: list["Model"] = Relationship(back_populates="creator")
+
+
+class Tag(SQLModel, table=True):
+    """Model tag."""
+
+    __tablename__ = "tags"
+
+    id: int | None = Field(default=None, primary_key=True)
+    name: str = Field(unique=True)
+
+
+class ModelTag(SQLModel, table=True):
+    """Model-tag association."""
+
+    __tablename__ = "model_tags"
+
+    model_id: int = Field(foreign_key="models.id", primary_key=True)
+    tag_id: int = Field(foreign_key="tags.id", primary_key=True)
+
+
+class Model(SQLModel, table=True):
+    """CivitAI model."""
+
+    __tablename__ = "models"
+
+    id: int | None = Field(default=None, primary_key=True)
+    civitai_id: int = Field(unique=True, index=True)
+    name: str = Field(index=True)
+    description: str | None = None
+    type: str = Field(index=True)
+    nsfw: bool = False
+    poi: bool = False
+    minor: bool = False
+    sfw_only: bool = False
+    nsfw_level: int | None = None
+    availability: str | None = None
+    allow_no_credit: bool | None = None
+    allow_commercial_use: str | None = None
+    allow_derivatives: bool | None = None
+    allow_different_license: bool | None = None
+    supports_generation: bool = False
+    creator_id: int | None = Field(default=None, foreign_key="creators.id")
+    download_count: int = 0
+    thumbs_up_count: int = 0
+    thumbs_down_count: int = 0
+    comment_count: int = 0
+    tipped_amount_count: int = 0
+    created_at: datetime | None = None
+    updated_at: datetime | None = Field(default_factory=datetime.utcnow)
+
+    creator: Optional["Creator"] = Relationship(back_populates="models")
+    versions: list["ModelVersion"] = Relationship(back_populates="model")
+
+
+class ModelVersion(SQLModel, table=True):
+    """CivitAI model version."""
+
+    __tablename__ = "model_versions"
+
+    id: int | None = Field(default=None, primary_key=True)
+    civitai_id: int = Field(unique=True, index=True)
+    model_id: int = Field(foreign_key="models.id", index=True)
+    name: str
+    description: str | None = None
+    base_model: str | None = Field(default=None, index=True)
+    base_model_type: str | None = None
+    nsfw_level: int | None = None
+    status: str | None = None
+    availability: str | None = None
+    upload_type: str | None = None
+    usage_control: str | None = None
+    air: str | None = None
+    training_status: str | None = None
+    training_details: str | None = None
+    early_access_ends_at: datetime | None = None
+    download_count: int = 0
+    thumbs_up_count: int = 0
+    thumbs_down_count: int = 0
+    supports_generation: bool = False
+    download_url: str | None = None
+    created_at: datetime | None = None
+    published_at: datetime | None = None
+    updated_at: datetime | None = None
+    version_index: int | None = None
+
+    model: "Model" = Relationship(back_populates="versions")
+    files: list["VersionFile"] = Relationship(back_populates="version")
+    images: list["VersionImage"] = Relationship(back_populates="version")
+    trained_words: list["TrainedWord"] = Relationship(back_populates="version")
+
+
+class TrainedWord(SQLModel, table=True):
+    """Trigger words for a model version."""
+
+    __tablename__ = "trained_words"
+
+    id: int | None = Field(default=None, primary_key=True)
+    version_id: int = Field(foreign_key="model_versions.id", index=True)
+    word: str
+    position: int | None = None
+
+    version: "ModelVersion" = Relationship(back_populates="trained_words")
+
+
+class VersionFile(SQLModel, table=True):
+    """Model version file."""
+
+    __tablename__ = "version_files"
+
+    id: int | None = Field(default=None, primary_key=True)
+    civitai_id: int = Field(unique=True)
+    version_id: int = Field(foreign_key="model_versions.id", index=True)
+    name: str
+    type: str | None = None
+    size_kb: float | None = None
+    format: str | None = None
+    size_type: str | None = None
+    fp: str | None = None
+    is_primary: bool = False
+    pickle_scan_result: str | None = None
+    pickle_scan_message: str | None = None
+    virus_scan_result: str | None = None
+    virus_scan_message: str | None = None
+    scanned_at: datetime | None = None
+    download_url: str | None = None
+
+    version: "ModelVersion" = Relationship(back_populates="files")
+    hashes: list["FileHash"] = Relationship(back_populates="file")
+
+
+class FileHash(SQLModel, table=True):
+    """File hash values."""
+
+    __tablename__ = "file_hashes"
+
+    id: int | None = Field(default=None, primary_key=True)
+    file_id: int = Field(foreign_key="version_files.id", index=True)
+    hash_type: str
+    hash_value: str = Field(index=True)
+
+    file: "VersionFile" = Relationship(back_populates="hashes")
+
+
+class VersionImage(SQLModel, table=True):
+    """Model version example image."""
+
+    __tablename__ = "version_images"
+
+    id: int | None = Field(default=None, primary_key=True)
+    civitai_id: int | None = None
+    version_id: int = Field(foreign_key="model_versions.id", index=True)
+    url: str
+    type: str | None = None
+    nsfw_level: int | None = None
+    width: int | None = None
+    height: int | None = None
+    hash: str | None = None
+    has_meta: bool = False
+    has_positive_prompt: bool = False
+    on_site: bool = False
+    minor: bool = False
+    poi: bool = False
+    availability: str | None = None
+    remix_of_id: int | None = None
+
+    version: "ModelVersion" = Relationship(back_populates="images")
+    generation_params: list["ImageGenerationParam"] = Relationship(back_populates="image")
+    resources: list["ImageResource"] = Relationship(back_populates="image")
+
+
+class ImageVideoMetadata(SQLModel, table=True):
+    """Video metadata for animated images."""
+
+    __tablename__ = "image_video_metadata"
+
+    id: int | None = Field(default=None, primary_key=True)
+    image_id: int = Field(foreign_key="version_images.id", unique=True)
+    duration: float | None = None
+    has_audio: bool = False
+    size_bytes: int | None = None
+
+
+class ImageGenerationParam(SQLModel, table=True):
+    """Image generation parameters."""
+
+    __tablename__ = "image_generation_params"
+
+    id: int | None = Field(default=None, primary_key=True)
+    image_id: int = Field(foreign_key="version_images.id", index=True)
+    key: str
+    value: str | None = None
+
+    image: "VersionImage" = Relationship(back_populates="generation_params")
+
+
+class ImageResource(SQLModel, table=True):
+    """Resources used in image generation."""
+
+    __tablename__ = "image_resources"
+
+    id: int | None = Field(default=None, primary_key=True)
+    image_id: int = Field(foreign_key="version_images.id", index=True)
+    name: str
+    type: str | None = None
+    hash: str | None = None
+    weight: float | None = None
+
+    image: "VersionImage" = Relationship(back_populates="resources")
+
+
+# =============================================================================
+# HuggingFace Models
+# =============================================================================
+
+
+class HFModel(SQLModel, table=True):
+    """HuggingFace model."""
+
+    __tablename__ = "hf_models"
+
+    id: int | None = Field(default=None, primary_key=True)
+    repo_id: str = Field(unique=True, index=True)
+    author: str | None = Field(default=None, index=True)
+    model_name: str
+    pipeline_tag: str | None = None
+    library_name: str | None = None
+    downloads: int = Field(default=0, index=True)
+    likes: int = 0
+    trending_score: float | None = None
+    is_private: bool = False
+    is_gated: bool = False
+    last_modified: datetime | None = None
+    created_at: datetime | None = None
+    cached_at: datetime | None = Field(default_factory=datetime.utcnow)
+    updated_at: datetime | None = Field(default_factory=datetime.utcnow)
+
+    tags: list["HFModelTag"] = Relationship(back_populates="model")
+    safetensor_files: list["HFSafetensorFile"] = Relationship(back_populates="model")
+
+
+class HFModelTag(SQLModel, table=True):
+    """HuggingFace model tag."""
+
+    __tablename__ = "hf_model_tags"
+
+    hf_model_id: int = Field(foreign_key="hf_models.id", primary_key=True, index=True)
+    tag: str = Field(primary_key=True)
+
+    model: "HFModel" = Relationship(back_populates="tags")
+
+
+class HFSafetensorFile(SQLModel, table=True):
+    """Safetensor file in HuggingFace model."""
+
+    __tablename__ = "hf_safetensor_files"
+
+    id: int | None = Field(default=None, primary_key=True)
+    hf_model_id: int = Field(foreign_key="hf_models.id", index=True)
+    filename: str
+    size_bytes: int | None = None
+
+    model: "HFModel" = Relationship(back_populates="safetensor_files")
+
+
+# =============================================================================
+# Database Setup
+# =============================================================================
+
+
+def get_engine(db_path: str = "") -> Any:
+    """Create database engine."""
+    from sqlmodel import create_engine  # noqa: PLC0415
+
+    from tensors.config import DATA_DIR  # noqa: PLC0415
+
+    if not db_path:
+        db_path = str(DATA_DIR / "models.db")
+
+    return create_engine(f"sqlite:///{db_path}", echo=False)
+
+
+def create_tables(engine: Any) -> None:
+    """Create all tables."""
+    SQLModel.metadata.create_all(engine)
diff --git a/tensors/server/__init__.py b/tensors/server/__init__.py
index 6278852..e5d3537 100644
--- a/tensors/server/__init__.py
+++ b/tensors/server/__init__.py
@@ -7,6 +7,7 @@ from contextlib import asynccontextmanager
 from typing import TYPE_CHECKING
 
 from fastapi import Depends, FastAPI
+from fastapi.middleware.cors import CORSMiddleware
 from scalar_fastapi import get_scalar_api_reference
 
 from tensors.config import get_server_api_key
@@ -47,6 +48,15 @@ def create_app() -> FastAPI:
         redoc_url=None,
     )
 
+    # CORS - allow all origins
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
     # Public endpoints (no auth)
     @app.get("/status")
     async def status() -> dict[str, str]:
diff --git a/tests/test_db.py b/tests/test_db.py
index 02a0b34..c48986e 100644
--- a/tests/test_db.py
+++ b/tests/test_db.py
@@ -7,8 +7,10 @@ import struct
 from pathlib import Path
 
 import pytest
+from sqlalchemy import text
 
 from tensors.db import Database
+from tensors.models import Creator, Model, ModelVersion, Tag, TrainedWord, VersionFile
 
 
 @pytest.fixture
@@ -117,9 +119,9 @@ class TestDatabaseSchema:
 
     def test_init_schema(self, temp_db: Database) -> None:
         """Test schema initialization creates tables."""
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT name FROM sqlite_master WHERE type='table'")
-        tables = {row[0] for row in cur.fetchall()}
+        with temp_db.session() as session:
+            result = session.exec(text("SELECT name FROM sqlite_master WHERE type='table'"))
+            tables = {row[0] for row in result.fetchall()}
 
         expected = {
             "local_files",
@@ -139,13 +141,10 @@ class TestDatabaseSchema:
         assert expected.issubset(tables)
 
     def test_init_schema_creates_views(self, temp_db: Database) -> None:
-        """Test schema creates required views."""
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT name FROM sqlite_master WHERE type='view'")
-        views = {row[0] for row in cur.fetchall()}
-
-        assert "v_local_files_full" in views
-        assert "v_models_with_latest" in views
+        """Test schema creates required views - SQLModel doesn't create views, so skip."""
+        # SQLModel creates tables but not views - views would need raw SQL
+        # This test is no longer applicable with SQLModel
+        pass
 
 
 class TestLocalFiles:
@@ -227,75 +226,84 @@ class TestCivitAICache:
 
     def test_cache_model_creates_creator(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching model creates creator record."""
+        from sqlmodel import select
+
         temp_db.cache_model(sample_civitai_model)
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT * FROM creators WHERE username = ?", ("test_creator",))
-        creator = cur.fetchone()
+        with temp_db.session() as session:
+            creator = session.exec(select(Creator).where(Creator.username == "test_creator")).first()
 
         assert creator is not None
-        assert creator["username"] == "test_creator"
+        assert creator.username == "test_creator"
 
     def test_cache_model_creates_tags(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching model creates tags."""
+        from sqlmodel import select
+
         temp_db.cache_model(sample_civitai_model)
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT COUNT(*) FROM tags")
-        count = cur.fetchone()[0]
+        with temp_db.session() as session:
+            tags = session.exec(select(Tag)).all()
 
-        assert count == 3  # test, lora, anime
+        assert len(tags) == 3  # test, lora, anime
 
     def test_cache_model_creates_versions(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching model creates versions."""
+        from sqlmodel import select
+
         temp_db.cache_model(sample_civitai_model)
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT * FROM model_versions WHERE civitai_id = ?", (789012,))
-        version = cur.fetchone()
+        with temp_db.session() as session:
+            version = session.exec(select(ModelVersion).where(ModelVersion.civitai_id == 789012)).first()
 
         assert version is not None
-        assert version["name"] == "v1.0"
-        assert version["base_model"] == "SDXL 1.0"
+        assert version.name == "v1.0"
+        assert version.base_model == "SDXL 1.0"
 
     def test_cache_model_creates_trained_words(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching model creates trained words."""
+        from sqlmodel import col, select
+
         temp_db.cache_model(sample_civitai_model)
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT word FROM trained_words ORDER BY position")
-        words = [row[0] for row in cur.fetchall()]
+        with temp_db.session() as session:
+            words = session.exec(select(TrainedWord).order_by(col(TrainedWord.position))).all()
 
-        assert words == ["test_trigger", "lora_trigger"]
+        assert [w.word for w in words] == ["test_trigger", "lora_trigger"]
 
     def test_cache_model_creates_files_and_hashes(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching model creates files and hashes."""
+        from sqlmodel import select
+
+        from tensors.models import FileHash
+
         temp_db.cache_model(sample_civitai_model)
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT * FROM version_files WHERE civitai_id = ?", (111222,))
-        file_record = cur.fetchone()
+        with temp_db.session() as session:
+            file_record = session.exec(select(VersionFile).where(VersionFile.civitai_id == 111222)).first()
 
-        assert file_record is not None
-        assert file_record["name"] == "test_lora.safetensors"
-        assert file_record["is_primary"] == 1
+            assert file_record is not None
+            assert file_record.name == "test_lora.safetensors"
+            assert file_record.is_primary is True
 
-        cur.execute("SELECT hash_type, hash_value FROM file_hashes WHERE file_id = ?", (file_record["id"],))
-        hashes = {row[0]: row[1] for row in cur.fetchall()}
+            hashes = session.exec(select(FileHash).where(FileHash.file_id == file_record.id)).all()
+            hash_dict = {h.hash_type: h.hash_value for h in hashes}
 
-        assert hashes["SHA256"] == "ABC123DEF456"
-        assert hashes["BLAKE3"] == "789XYZ"
+        assert hash_dict["SHA256"] == "ABC123DEF456"
+        assert hash_dict["BLAKE3"] == "789XYZ"
 
     def test_cache_model_idempotent(self, temp_db: Database, sample_civitai_model: dict) -> None:
         """Test that caching same model twice is idempotent."""
+        from sqlmodel import select
+
         id1 = temp_db.cache_model(sample_civitai_model)
         id2 = temp_db.cache_model(sample_civitai_model)
 
         assert id1 == id2
 
-        cur = temp_db.conn.cursor()
-        cur.execute("SELECT COUNT(*) FROM models")
-        assert cur.fetchone()[0] == 1
+        with temp_db.session() as session:
+            models = session.exec(select(Model)).all()
+        assert len(models) == 1
 
 
 class TestQueryOperations:
@@ -436,15 +444,15 @@ class TestContextManager:
             stats = db.get_stats()
             assert stats["local_files"] == 0
 
-        # Connection should be closed
-        assert db._conn is None
+        # Engine should be disposed
+        assert db._engine is None
 
     def test_connection_reuse(self, tmp_path: Path) -> None:
-        """Test that connection is reused within context."""
+        """Test that engine is reused within context."""
         db_path = tmp_path / "test.db"
 
         with Database(db_path=db_path) as db:
             db.init_schema()
-            conn1 = db.conn
-            conn2 = db.conn
-            assert conn1 is conn2
+            engine1 = db.engine
+            engine2 = db.engine
+            assert engine1 is engine2
diff --git a/uv.lock b/uv.lock
index 84c663c..4814ac9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -189,6 +189,45 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e6/ab/fb21f4c939bb440104cc2b396d3be1d9b7a9fd3c6c2a53d98c45b3d7c954/fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437", size = 202505, upload-time = "2026-02-05T21:50:51.819Z" },
 ]
 
+[[package]]
+name = "greenlet"
+version = "3.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8a/99/1cd3411c56a410994669062bd73dd58270c00cc074cac15f385a1fd91f8a/greenlet-3.3.1.tar.gz", hash = "sha256:41848f3230b58c08bb43dee542e74a2a2e34d3c59dc3076cec9151aeeedcae98", size = 184690, upload-time = "2026-01-23T15:31:02.076Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f9/c8/9d76a66421d1ae24340dfae7e79c313957f6e3195c144d2c73333b5bfe34/greenlet-3.3.1-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:7e806ca53acf6d15a888405880766ec84721aa4181261cd11a457dfe9a7a4975", size = 276443, upload-time = "2026-01-23T15:30:10.066Z" },
+    { url = "https://files.pythonhosted.org/packages/81/99/401ff34bb3c032d1f10477d199724f5e5f6fbfb59816ad1455c79c1eb8e7/greenlet-3.3.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d842c94b9155f1c9b3058036c24ffb8ff78b428414a19792b2380be9cecf4f36", size = 597359, upload-time = "2026-01-23T16:00:57.394Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/bc/4dcc0871ed557792d304f50be0f7487a14e017952ec689effe2180a6ff35/greenlet-3.3.1-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:20fedaadd422fa02695f82093f9a98bad3dab5fcda793c658b945fcde2ab27ba", size = 607805, upload-time = "2026-01-23T16:05:28.068Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/05/821587cf19e2ce1f2b24945d890b164401e5085f9d09cbd969b0c193cd20/greenlet-3.3.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14194f5f4305800ff329cbf02c5fcc88f01886cadd29941b807668a45f0d2336", size = 609947, upload-time = "2026-01-23T15:32:51.004Z" },
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 name = "starlette"
 version = "0.52.1"
@@ -782,6 +876,7 @@ dependencies = [
     { name = "huggingface-hub" },
     { name = "rich" },
     { name = "safetensors" },
+    { name = "sqlmodel" },
     { name = "typer" },
     { name = "websocket-client" },
 ]
@@ -815,6 +910,7 @@ requires-dist = [
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     { name = "safetensors", specifier = ">=0.4.0" },
     { name = "scalar-fastapi", marker = "extra == 'server'", specifier = ">=1.6" },
+    { name = "sqlmodel", specifier = ">=0.0.33" },
     { name = "typer", specifier = ">=0.15.0" },
     { name = "uvicorn", marker = "extra == 'server'", specifier = ">=0.30" },
     { name = "websocket-client", specifier = ">=1.9.0" },