diff --git a/machine-learning/app/main.py b/machine-learning/app/main.py
index 000119937e74a..6d359ec2de250 100644
--- a/machine-learning/app/main.py
+++ b/machine-learning/app/main.py
@@ -11,7 +11,7 @@ from typing import Any, AsyncGenerator, Callable, Iterator
 from zipfile import BadZipFile
 
 import orjson
-from fastapi import Depends, FastAPI, File, Form, HTTPException
+from fastapi import Depends, FastAPI, File, Form, HTTPException, Response
 from fastapi.responses import ORJSONResponse
 from onnxruntime.capi.onnxruntime_pybind11_state import InvalidProtobuf, NoSuchFile
 from PIL.Image import Image
@@ -124,6 +124,23 @@ def get_entries(entries: str = Form()) -> InferenceEntries:
         raise HTTPException(422, "Invalid request format.")
 
 
+def get_entry(entries: str = Form()) -> InferenceEntry:
+    try:
+        request: PipelineRequest = orjson.loads(entries)
+        for task, types in request.items():
+            for type, entry in types.items():
+                parsed: InferenceEntry = {
+                    "name": entry["modelName"],
+                    "task": task,
+                    "type": type,
+                    "options": entry.get("options", {}),
+                }
+        return parsed
+    except (orjson.JSONDecodeError, ValidationError, KeyError, AttributeError) as e:
+        log.error(f"Invalid request format: {e}")
+        raise HTTPException(422, "Invalid request format.")
+
+
 app = FastAPI(lifespan=lifespan)
 
 
@@ -137,6 +154,20 @@ def ping() -> str:
     return "pong"
 
 
+@app.post("/load", response_model=TextResponse)
+async def load_model(entry: InferenceEntry = Depends(get_entry)) -> None:
+    model = await model_cache.get(entry["name"], entry["type"], entry["task"], ttl=settings.model_ttl)
+    model = await load(model)
+    return Response(status_code=200)
+
+
+@app.post("/unload", response_model=TextResponse)
+async def unload_model(entry: InferenceEntry = Depends(get_entry)) -> None:
+    await model_cache.unload(entry["name"], entry["type"], entry["task"])
+    print("unload")
+    return Response(status_code=200)
+
+
 @app.post("/predict", dependencies=[Depends(update_state)])
 async def predict(
     entries: InferenceEntries = Depends(get_entries),
diff --git a/machine-learning/app/models/cache.py b/machine-learning/app/models/cache.py
index bf8e8a6352145..34c9fd2a41fde 100644
--- a/machine-learning/app/models/cache.py
+++ b/machine-learning/app/models/cache.py
@@ -58,3 +58,10 @@ class ModelCache:
     async def revalidate(self, key: str, ttl: int | None) -> None:
         if ttl is not None and key in self.cache._handlers:
             await self.cache.expire(key, ttl)
+
+    async def unload(self, model_name: str, model_type: ModelType, model_task: ModelTask) -> None:
+        key = f"{model_name}{model_type}{model_task}"
+        async with OptimisticLock(self.cache, key):
+            value = await self.cache.get(key)
+            if value is not None:
+                await self.cache.delete(key)
diff --git a/mobile/openapi/README.md b/mobile/openapi/README.md
index 36f442fd88b51..2504da1282710 100644
--- a/mobile/openapi/README.md
+++ b/mobile/openapi/README.md
@@ -116,7 +116,6 @@ Class | Method | HTTP request | Description
 *AuthenticationApi* | [**signUpAdmin**](doc//AuthenticationApi.md#signupadmin) | **POST** /auth/admin-sign-up | 
 *AuthenticationApi* | [**validateAccessToken**](doc//AuthenticationApi.md#validateaccesstoken) | **POST** /auth/validateToken | 
 *DeprecatedApi* | [**getPersonAssets**](doc//DeprecatedApi.md#getpersonassets) | **GET** /people/{id}/assets | 
-*DeprecatedApi* | [**getRandom**](doc//DeprecatedApi.md#getrandom) | **GET** /assets/random | 
 *DownloadApi* | [**downloadArchive**](doc//DownloadApi.md#downloadarchive) | **POST** /download/archive | 
 *DownloadApi* | [**getDownloadInfo**](doc//DownloadApi.md#getdownloadinfo) | **POST** /download/info | 
 *DuplicatesApi* | [**getAssetDuplicates**](doc//DuplicatesApi.md#getassetduplicates) | **GET** /duplicates | 
@@ -125,7 +124,6 @@ Class | Method | HTTP request | Description
 *FileReportsApi* | [**fixAuditFiles**](doc//FileReportsApi.md#fixauditfiles) | **POST** /reports/fix | 
 *FileReportsApi* | [**getAuditFiles**](doc//FileReportsApi.md#getauditfiles) | **GET** /reports | 
 *FileReportsApi* | [**getFileChecksums**](doc//FileReportsApi.md#getfilechecksums) | **POST** /reports/checksum | 
-*JobsApi* | [**createJob**](doc//JobsApi.md#createjob) | **POST** /jobs | 
 *JobsApi* | [**getAllJobsStatus**](doc//JobsApi.md#getalljobsstatus) | **GET** /jobs | 
 *JobsApi* | [**sendJobCommand**](doc//JobsApi.md#sendjobcommand) | **PUT** /jobs/{id} | 
 *LibrariesApi* | [**createLibrary**](doc//LibrariesApi.md#createlibrary) | **POST** /libraries | 
@@ -137,6 +135,7 @@ Class | Method | HTTP request | Description
 *LibrariesApi* | [**updateLibrary**](doc//LibrariesApi.md#updatelibrary) | **PUT** /libraries/{id} | 
 *LibrariesApi* | [**validate**](doc//LibrariesApi.md#validate) | **POST** /libraries/{id}/validate | 
 *MapApi* | [**getMapMarkers**](doc//MapApi.md#getmapmarkers) | **GET** /map/markers | 
+*MapApi* | [**getMapStyle**](doc//MapApi.md#getmapstyle) | **GET** /map/style.json | 
 *MapApi* | [**reverseGeocode**](doc//MapApi.md#reversegeocode) | **GET** /map/reverse-geocode | 
 *MemoriesApi* | [**addMemoryAssets**](doc//MemoriesApi.md#addmemoryassets) | **PUT** /memories/{id}/assets | 
 *MemoriesApi* | [**createMemory**](doc//MemoriesApi.md#creatememory) | **POST** /memories | 
@@ -171,7 +170,6 @@ Class | Method | HTTP request | Description
 *SearchApi* | [**searchMetadata**](doc//SearchApi.md#searchmetadata) | **POST** /search/metadata | 
 *SearchApi* | [**searchPerson**](doc//SearchApi.md#searchperson) | **GET** /search/person | 
 *SearchApi* | [**searchPlaces**](doc//SearchApi.md#searchplaces) | **GET** /search/places | 
-*SearchApi* | [**searchRandom**](doc//SearchApi.md#searchrandom) | **POST** /search/random | 
 *SearchApi* | [**searchSmart**](doc//SearchApi.md#searchsmart) | **POST** /search/smart | 
 *ServerApi* | [**deleteServerLicense**](doc//ServerApi.md#deleteserverlicense) | **DELETE** /server/license | 
 *ServerApi* | [**getAboutInfo**](doc//ServerApi.md#getaboutinfo) | **GET** /server/about | 
@@ -332,7 +330,6 @@ Class | Method | HTTP request | Description
  - [JobCommand](doc//JobCommand.md)
  - [JobCommandDto](doc//JobCommandDto.md)
  - [JobCountsDto](doc//JobCountsDto.md)
- - [JobCreateDto](doc//JobCreateDto.md)
  - [JobName](doc//JobName.md)
  - [JobSettingsDto](doc//JobSettingsDto.md)
  - [JobStatusDto](doc//JobStatusDto.md)
@@ -340,13 +337,14 @@ Class | Method | HTTP request | Description
  - [LibraryStatsResponseDto](doc//LibraryStatsResponseDto.md)
  - [LicenseKeyDto](doc//LicenseKeyDto.md)
  - [LicenseResponseDto](doc//LicenseResponseDto.md)
+ - [LoadTextualModelOnConnection](doc//LoadTextualModelOnConnection.md)
  - [LogLevel](doc//LogLevel.md)
  - [LoginCredentialDto](doc//LoginCredentialDto.md)
  - [LoginResponseDto](doc//LoginResponseDto.md)
  - [LogoutResponseDto](doc//LogoutResponseDto.md)
- - [ManualJobName](doc//ManualJobName.md)
  - [MapMarkerResponseDto](doc//MapMarkerResponseDto.md)
  - [MapReverseGeocodeResponseDto](doc//MapReverseGeocodeResponseDto.md)
+ - [MapTheme](doc//MapTheme.md)
  - [MemoriesResponse](doc//MemoriesResponse.md)
  - [MemoriesUpdate](doc//MemoriesUpdate.md)
  - [MemoryCreateDto](doc//MemoryCreateDto.md)
@@ -379,7 +377,6 @@ Class | Method | HTTP request | Description
  - [PurchaseResponse](doc//PurchaseResponse.md)
  - [PurchaseUpdate](doc//PurchaseUpdate.md)
  - [QueueStatusDto](doc//QueueStatusDto.md)
- - [RandomSearchDto](doc//RandomSearchDto.md)
  - [RatingsResponse](doc//RatingsResponse.md)
  - [RatingsUpdate](doc//RatingsUpdate.md)
  - [ReactionLevel](doc//ReactionLevel.md)
@@ -455,7 +452,6 @@ Class | Method | HTTP request | Description
  - [ToneMapping](doc//ToneMapping.md)
  - [TranscodeHWAccel](doc//TranscodeHWAccel.md)
  - [TranscodePolicy](doc//TranscodePolicy.md)
- - [TrashResponseDto](doc//TrashResponseDto.md)
  - [UpdateAlbumDto](doc//UpdateAlbumDto.md)
  - [UpdateAlbumUserDto](doc//UpdateAlbumUserDto.md)
  - [UpdateAssetDto](doc//UpdateAssetDto.md)
diff --git a/mobile/openapi/lib/api.dart b/mobile/openapi/lib/api.dart
index 6fb7478d04bf2..1c1508fd3485e 100644
--- a/mobile/openapi/lib/api.dart
+++ b/mobile/openapi/lib/api.dart
@@ -144,7 +144,6 @@ part 'model/image_format.dart';
 part 'model/job_command.dart';
 part 'model/job_command_dto.dart';
 part 'model/job_counts_dto.dart';
-part 'model/job_create_dto.dart';
 part 'model/job_name.dart';
 part 'model/job_settings_dto.dart';
 part 'model/job_status_dto.dart';
@@ -152,13 +151,14 @@ part 'model/library_response_dto.dart';
 part 'model/library_stats_response_dto.dart';
 part 'model/license_key_dto.dart';
 part 'model/license_response_dto.dart';
+part 'model/load_textual_model_on_connection.dart';
 part 'model/log_level.dart';
 part 'model/login_credential_dto.dart';
 part 'model/login_response_dto.dart';
 part 'model/logout_response_dto.dart';
-part 'model/manual_job_name.dart';
 part 'model/map_marker_response_dto.dart';
 part 'model/map_reverse_geocode_response_dto.dart';
+part 'model/map_theme.dart';
 part 'model/memories_response.dart';
 part 'model/memories_update.dart';
 part 'model/memory_create_dto.dart';
@@ -191,7 +191,6 @@ part 'model/places_response_dto.dart';
 part 'model/purchase_response.dart';
 part 'model/purchase_update.dart';
 part 'model/queue_status_dto.dart';
-part 'model/random_search_dto.dart';
 part 'model/ratings_response.dart';
 part 'model/ratings_update.dart';
 part 'model/reaction_level.dart';
@@ -267,7 +266,6 @@ part 'model/time_bucket_size.dart';
 part 'model/tone_mapping.dart';
 part 'model/transcode_hw_accel.dart';
 part 'model/transcode_policy.dart';
-part 'model/trash_response_dto.dart';
 part 'model/update_album_dto.dart';
 part 'model/update_album_user_dto.dart';
 part 'model/update_asset_dto.dart';
diff --git a/mobile/openapi/lib/api_client.dart b/mobile/openapi/lib/api_client.dart
index c1025b0bd4820..165f7887d427e 100644
--- a/mobile/openapi/lib/api_client.dart
+++ b/mobile/openapi/lib/api_client.dart
@@ -166,6 +166,7 @@ class ApiClient {
 
   /// Returns a native instance of an OpenAPI class matching the [specified type][targetType].
   static dynamic fromJson(dynamic value, String targetType, {bool growable = false,}) {
+    upgradeDto(value, targetType);
     try {
       switch (targetType) {
         case 'String':
@@ -342,8 +343,6 @@ class ApiClient {
           return JobCommandDto.fromJson(value);
         case 'JobCountsDto':
           return JobCountsDto.fromJson(value);
-        case 'JobCreateDto':
-          return JobCreateDto.fromJson(value);
         case 'JobName':
           return JobNameTypeTransformer().decode(value);
         case 'JobSettingsDto':
@@ -358,6 +357,8 @@ class ApiClient {
           return LicenseKeyDto.fromJson(value);
         case 'LicenseResponseDto':
           return LicenseResponseDto.fromJson(value);
+        case 'LoadTextualModelOnConnection':
+          return LoadTextualModelOnConnection.fromJson(value);
         case 'LogLevel':
           return LogLevelTypeTransformer().decode(value);
         case 'LoginCredentialDto':
@@ -366,12 +367,12 @@ class ApiClient {
           return LoginResponseDto.fromJson(value);
         case 'LogoutResponseDto':
           return LogoutResponseDto.fromJson(value);
-        case 'ManualJobName':
-          return ManualJobNameTypeTransformer().decode(value);
         case 'MapMarkerResponseDto':
           return MapMarkerResponseDto.fromJson(value);
         case 'MapReverseGeocodeResponseDto':
           return MapReverseGeocodeResponseDto.fromJson(value);
+        case 'MapTheme':
+          return MapThemeTypeTransformer().decode(value);
         case 'MemoriesResponse':
           return MemoriesResponse.fromJson(value);
         case 'MemoriesUpdate':
@@ -436,8 +437,6 @@ class ApiClient {
           return PurchaseUpdate.fromJson(value);
         case 'QueueStatusDto':
           return QueueStatusDto.fromJson(value);
-        case 'RandomSearchDto':
-          return RandomSearchDto.fromJson(value);
         case 'RatingsResponse':
           return RatingsResponse.fromJson(value);
         case 'RatingsUpdate':
@@ -588,8 +587,6 @@ class ApiClient {
           return TranscodeHWAccelTypeTransformer().decode(value);
         case 'TranscodePolicy':
           return TranscodePolicyTypeTransformer().decode(value);
-        case 'TrashResponseDto':
-          return TrashResponseDto.fromJson(value);
         case 'UpdateAlbumDto':
           return UpdateAlbumDto.fromJson(value);
         case 'UpdateAlbumUserDto':
diff --git a/mobile/openapi/lib/model/clip_config.dart b/mobile/openapi/lib/model/clip_config.dart
index b500d20f2e6eb..f41fb2b6ba80a 100644
--- a/mobile/openapi/lib/model/clip_config.dart
+++ b/mobile/openapi/lib/model/clip_config.dart
@@ -14,30 +14,36 @@ class CLIPConfig {
   /// Returns a new [CLIPConfig] instance.
   CLIPConfig({
     required this.enabled,
+    required this.loadTextualModelOnConnection,
     required this.modelName,
   });
 
   bool enabled;
 
+  LoadTextualModelOnConnection loadTextualModelOnConnection;
+
   String modelName;
 
   @override
   bool operator ==(Object other) => identical(this, other) || other is CLIPConfig &&
     other.enabled == enabled &&
+    other.loadTextualModelOnConnection == loadTextualModelOnConnection &&
     other.modelName == modelName;
 
   @override
   int get hashCode =>
     // ignore: unnecessary_parenthesis
     (enabled.hashCode) +
+    (loadTextualModelOnConnection.hashCode) +
     (modelName.hashCode);
 
   @override
-  String toString() => 'CLIPConfig[enabled=$enabled, modelName=$modelName]';
+  String toString() => 'CLIPConfig[enabled=$enabled, loadTextualModelOnConnection=$loadTextualModelOnConnection, modelName=$modelName]';
 
   Map<String, dynamic> toJson() {
     final json = <String, dynamic>{};
       json[r'enabled'] = this.enabled;
+      json[r'loadTextualModelOnConnection'] = this.loadTextualModelOnConnection;
       json[r'modelName'] = this.modelName;
     return json;
   }
@@ -46,12 +52,12 @@ class CLIPConfig {
   /// [value] if it's a [Map], null otherwise.
   // ignore: prefer_constructors_over_static_methods
   static CLIPConfig? fromJson(dynamic value) {
-    upgradeDto(value, "CLIPConfig");
     if (value is Map) {
       final json = value.cast<String, dynamic>();
 
       return CLIPConfig(
         enabled: mapValueOfType<bool>(json, r'enabled')!,
+        loadTextualModelOnConnection: LoadTextualModelOnConnection.fromJson(json[r'loadTextualModelOnConnection'])!,
         modelName: mapValueOfType<String>(json, r'modelName')!,
       );
     }
@@ -101,6 +107,7 @@ class CLIPConfig {
   /// The list of required keys that must be present in a JSON.
   static const requiredKeys = <String>{
     'enabled',
+    'loadTextualModelOnConnection',
     'modelName',
   };
 }
diff --git a/mobile/openapi/lib/model/load_textual_model_on_connection.dart b/mobile/openapi/lib/model/load_textual_model_on_connection.dart
new file mode 100644
index 0000000000000..460799d4fa31e
--- /dev/null
+++ b/mobile/openapi/lib/model/load_textual_model_on_connection.dart
@@ -0,0 +1,107 @@
+//
+// AUTO-GENERATED FILE, DO NOT MODIFY!
+//
+// @dart=2.18
+
+// ignore_for_file: unused_element, unused_import
+// ignore_for_file: always_put_required_named_parameters_first
+// ignore_for_file: constant_identifier_names
+// ignore_for_file: lines_longer_than_80_chars
+
+part of openapi.api;
+
+class LoadTextualModelOnConnection {
+  /// Returns a new [LoadTextualModelOnConnection] instance.
+  LoadTextualModelOnConnection({
+    required this.enabled,
+    required this.ttl,
+  });
+
+  bool enabled;
+
+  /// Minimum value: 0
+  num ttl;
+
+  @override
+  bool operator ==(Object other) => identical(this, other) || other is LoadTextualModelOnConnection &&
+    other.enabled == enabled &&
+    other.ttl == ttl;
+
+  @override
+  int get hashCode =>
+    // ignore: unnecessary_parenthesis
+    (enabled.hashCode) +
+    (ttl.hashCode);
+
+  @override
+  String toString() => 'LoadTextualModelOnConnection[enabled=$enabled, ttl=$ttl]';
+
+  Map<String, dynamic> toJson() {
+    final json = <String, dynamic>{};
+      json[r'enabled'] = this.enabled;
+      json[r'ttl'] = this.ttl;
+    return json;
+  }
+
+  /// Returns a new [LoadTextualModelOnConnection] instance and imports its values from
+  /// [value] if it's a [Map], null otherwise.
+  // ignore: prefer_constructors_over_static_methods
+  static LoadTextualModelOnConnection? fromJson(dynamic value) {
+    if (value is Map) {
+      final json = value.cast<String, dynamic>();
+
+      return LoadTextualModelOnConnection(
+        enabled: mapValueOfType<bool>(json, r'enabled')!,
+        ttl: num.parse('${json[r'ttl']}'),
+      );
+    }
+    return null;
+  }
+
+  static List<LoadTextualModelOnConnection> listFromJson(dynamic json, {bool growable = false,}) {
+    final result = <LoadTextualModelOnConnection>[];
+    if (json is List && json.isNotEmpty) {
+      for (final row in json) {
+        final value = LoadTextualModelOnConnection.fromJson(row);
+        if (value != null) {
+          result.add(value);
+        }
+      }
+    }
+    return result.toList(growable: growable);
+  }
+
+  static Map<String, LoadTextualModelOnConnection> mapFromJson(dynamic json) {
+    final map = <String, LoadTextualModelOnConnection>{};
+    if (json is Map && json.isNotEmpty) {
+      json = json.cast<String, dynamic>(); // ignore: parameter_assignments
+      for (final entry in json.entries) {
+        final value = LoadTextualModelOnConnection.fromJson(entry.value);
+        if (value != null) {
+          map[entry.key] = value;
+        }
+      }
+    }
+    return map;
+  }
+
+  // maps a json object with a list of LoadTextualModelOnConnection-objects as value to a dart map
+  static Map<String, List<LoadTextualModelOnConnection>> mapListFromJson(dynamic json, {bool growable = false,}) {
+    final map = <String, List<LoadTextualModelOnConnection>>{};
+    if (json is Map && json.isNotEmpty) {
+      // ignore: parameter_assignments
+      json = json.cast<String, dynamic>();
+      for (final entry in json.entries) {
+        map[entry.key] = LoadTextualModelOnConnection.listFromJson(entry.value, growable: growable,);
+      }
+    }
+    return map;
+  }
+
+  /// The list of required keys that must be present in a JSON.
+  static const requiredKeys = <String>{
+    'enabled',
+    'ttl',
+  };
+}
+
diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json
index d28effd6c5676..844bba542ee88 100644
--- a/open-api/immich-openapi-specs.json
+++ b/open-api/immich-openapi-specs.json
@@ -5296,8 +5296,8 @@
             "name": "password",
             "required": false,
             "in": "query",
+            "example": "password",
             "schema": {
-              "example": "password",
               "type": "string"
             }
           },
@@ -8642,12 +8642,16 @@
           "enabled": {
             "type": "boolean"
           },
+          "loadTextualModelOnConnection": {
+            "$ref": "#/components/schemas/LoadTextualModelOnConnection"
+          },
           "modelName": {
             "type": "string"
           }
         },
         "required": [
           "enabled",
+          "loadTextualModelOnConnection",
           "modelName"
         ],
         "type": "object"
@@ -9488,6 +9492,17 @@
         ],
         "type": "object"
       },
+      "LoadTextualModelOnConnection": {
+        "properties": {
+          "enabled": {
+            "type": "boolean"
+          }
+        },
+        "required": [
+          "enabled"
+        ],
+        "type": "object"
+      },
       "LogLevel": {
         "enum": [
           "verbose",
diff --git a/open-api/typescript-sdk/src/fetch-client.ts b/open-api/typescript-sdk/src/fetch-client.ts
index 4f5eed0d13e21..fc4b33a81d356 100644
--- a/open-api/typescript-sdk/src/fetch-client.ts
+++ b/open-api/typescript-sdk/src/fetch-client.ts
@@ -1150,8 +1150,13 @@ export type SystemConfigLoggingDto = {
     enabled: boolean;
     level: LogLevel;
 };
+export type LoadTextualModelOnConnection = {
+    enabled: boolean;
+    ttl: number;
+};
 export type ClipConfig = {
     enabled: boolean;
+    loadTextualModelOnConnection: LoadTextualModelOnConnection;
     modelName: string;
 };
 export type DuplicateDetectionConfig = {
diff --git a/server/src/config.ts b/server/src/config.ts
index 2e11f740d372c..8d01da87a3998 100644
--- a/server/src/config.ts
+++ b/server/src/config.ts
@@ -58,6 +58,9 @@ export interface SystemConfig {
     clip: {
       enabled: boolean;
       modelName: string;
+      loadTextualModelOnConnection: {
+        enabled: boolean;
+      };
     };
     duplicateDetection: {
       enabled: boolean;
@@ -205,6 +208,9 @@ export const defaults = Object.freeze<SystemConfig>({
     clip: {
       enabled: true,
       modelName: 'ViT-B-32__openai',
+      loadTextualModelOnConnection: {
+        enabled: false,
+      },
     },
     duplicateDetection: {
       enabled: true,
diff --git a/server/src/dtos/model-config.dto.ts b/server/src/dtos/model-config.dto.ts
index f8b9e2043f3ea..0c1630e5311eb 100644
--- a/server/src/dtos/model-config.dto.ts
+++ b/server/src/dtos/model-config.dto.ts
@@ -1,6 +1,6 @@
 import { ApiProperty } from '@nestjs/swagger';
 import { Type } from 'class-transformer';
-import { IsNotEmpty, IsNumber, IsString, Max, Min } from 'class-validator';
+import { IsNotEmpty, IsNumber, IsObject, IsString, Max, Min, ValidateNested } from 'class-validator';
 import { ValidateBoolean } from 'src/validation';
 
 export class TaskConfig {
@@ -14,7 +14,17 @@ export class ModelConfig extends TaskConfig {
   modelName!: string;
 }
 
-export class CLIPConfig extends ModelConfig {}
+export class LoadTextualModelOnConnection {
+  @ValidateBoolean()
+  enabled!: boolean;
+}
+
+export class CLIPConfig extends ModelConfig {
+  @Type(() => LoadTextualModelOnConnection)
+  @ValidateNested()
+  @IsObject()
+  loadTextualModelOnConnection!: LoadTextualModelOnConnection;
+}
 
 export class DuplicateDetectionConfig extends TaskConfig {
   @IsNumber()
diff --git a/server/src/interfaces/machine-learning.interface.ts b/server/src/interfaces/machine-learning.interface.ts
index 5342030c8fde7..205d69f4f5a34 100644
--- a/server/src/interfaces/machine-learning.interface.ts
+++ b/server/src/interfaces/machine-learning.interface.ts
@@ -46,6 +46,11 @@ export interface Face {
   score: number;
 }
 
+export enum LoadTextModelActions {
+  LOAD,
+  UNLOAD,
+}
+
 export type FacialRecognitionResponse = { [ModelTask.FACIAL_RECOGNITION]: Face[] } & VisualResponse;
 export type DetectedFaces = { faces: Face[] } & VisualResponse;
 export type MachineLearningRequest = ClipVisualRequest | ClipTextualRequest | FacialRecognitionRequest;
@@ -54,4 +59,5 @@ export interface IMachineLearningRepository {
   encodeImage(url: string, imagePath: string, config: ModelOptions): Promise<number[]>;
   encodeText(url: string, text: string, config: ModelOptions): Promise<number[]>;
   detectFaces(url: string, imagePath: string, config: FaceDetectionOptions): Promise<DetectedFaces>;
+  prepareTextModel(url: string, config: ModelOptions, action: LoadTextModelActions): Promise<void>;
 }
diff --git a/server/src/repositories/event.repository.ts b/server/src/repositories/event.repository.ts
index 90d8e7bf5d7a8..2d98943008b21 100644
--- a/server/src/repositories/event.repository.ts
+++ b/server/src/repositories/event.repository.ts
@@ -8,6 +8,7 @@ import {
   WebSocketServer,
 } from '@nestjs/websockets';
 import { Server, Socket } from 'socket.io';
+import { SystemConfigCore } from 'src/cores/system-config.core';
 import {
   ArgsOf,
   ClientEventMap,
@@ -18,6 +19,8 @@ import {
   ServerEvents,
 } from 'src/interfaces/event.interface';
 import { ILoggerRepository } from 'src/interfaces/logger.interface';
+import { IMachineLearningRepository, LoadTextModelActions } from 'src/interfaces/machine-learning.interface';
+import { ISystemMetadataRepository } from 'src/interfaces/system-metadata.interface';
 import { AuthService } from 'src/services/auth.service';
 import { Instrumentation } from 'src/utils/instrumentation';
 import { handlePromiseError } from 'src/utils/misc';
@@ -33,6 +36,7 @@ type EmitHandlers = Partial<{ [T in EmitEvent]: Array<EventItem<T>> }>;
 @Injectable()
 export class EventRepository implements OnGatewayConnection, OnGatewayDisconnect, OnGatewayInit, IEventRepository {
   private emitHandlers: EmitHandlers = {};
+  private configCore: SystemConfigCore;
 
   @WebSocketServer()
   private server?: Server;
@@ -40,8 +44,11 @@ export class EventRepository implements OnGatewayConnection, OnGatewayDisconnect
   constructor(
     private moduleRef: ModuleRef,
     @Inject(ILoggerRepository) private logger: ILoggerRepository,
+    @Inject(IMachineLearningRepository) private machineLearningRepository: IMachineLearningRepository,
+    @Inject(ISystemMetadataRepository) systemMetadataRepository: ISystemMetadataRepository,
   ) {
     this.logger.setContext(EventRepository.name);
+    this.configCore = SystemConfigCore.create(systemMetadataRepository, this.logger);
   }
 
   afterInit(server: Server) {
@@ -63,6 +70,21 @@ export class EventRepository implements OnGatewayConnection, OnGatewayDisconnect
         queryParams: {},
         metadata: { adminRoute: false, sharedLinkRoute: false, uri: '/api/socket.io' },
       });
+      if ('background' in client.handshake.query && client.handshake.query.background === 'false') {
+        const { machineLearning } = await this.configCore.getConfig({ withCache: true });
+        if (machineLearning.clip.loadTextualModelOnConnection.enabled) {
+          try {
+            console.log(this.server);
+            this.machineLearningRepository.prepareTextModel(
+              machineLearning.url,
+              machineLearning.clip,
+              LoadTextModelActions.LOAD,
+            );
+          } catch (error) {
+            this.logger.warn(error);
+          }
+        }
+      }
       await client.join(auth.user.id);
       if (auth.session) {
         await client.join(auth.session.id);
@@ -78,6 +100,21 @@ export class EventRepository implements OnGatewayConnection, OnGatewayDisconnect
   async handleDisconnect(client: Socket) {
     this.logger.log(`Websocket Disconnect: ${client.id}`);
     await client.leave(client.nsp.name);
+    if ('background' in client.handshake.query && client.handshake.query.background === 'false') {
+      const { machineLearning } = await this.configCore.getConfig({ withCache: true });
+      if (machineLearning.clip.loadTextualModelOnConnection.enabled && this.server?.engine.clientsCount == 0) {
+        try {
+          this.machineLearningRepository.prepareTextModel(
+            machineLearning.url,
+            machineLearning.clip,
+            LoadTextModelActions.UNLOAD,
+          );
+          this.logger.debug('sent request to unload text model');
+        } catch (error) {
+          this.logger.warn(error);
+        }
+      }
+    }
   }
 
   on<T extends EmitEvent>(item: EventItem<T>): void {
diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts
index b9404022efffa..a65b29fa56321 100644
--- a/server/src/repositories/machine-learning.repository.ts
+++ b/server/src/repositories/machine-learning.repository.ts
@@ -7,6 +7,7 @@ import {
   FaceDetectionOptions,
   FacialRecognitionResponse,
   IMachineLearningRepository,
+  LoadTextModelActions,
   MachineLearningRequest,
   ModelPayload,
   ModelTask,
@@ -20,13 +21,9 @@ const errorPrefix = 'Machine learning request';
 @Injectable()
 export class MachineLearningRepository implements IMachineLearningRepository {
   private async predict<T>(url: string, payload: ModelPayload, config: MachineLearningRequest): Promise<T> {
-    const formData = await this.getFormData(payload, config);
+    const formData = await this.getFormData(config, payload);
 
-    const res = await fetch(new URL('/predict', url), { method: 'POST', body: formData }).catch(
-      (error: Error | any) => {
-        throw new Error(`${errorPrefix} to "${url}" failed with ${error?.cause || error}`);
-      },
-    );
+    const res = await this.fetchData(url, '/predict', formData);
 
     if (res.status >= 400) {
       throw new Error(`${errorPrefix} '${JSON.stringify(config)}' failed with status ${res.status}: ${res.statusText}`);
@@ -34,6 +31,30 @@ export class MachineLearningRepository implements IMachineLearningRepository {
     return res.json();
   }
 
+  private async fetchData(url: string, path: string, formData?: FormData): Promise<Response> {
+    const res = await fetch(new URL(path, url), { method: 'POST', body: formData }).catch((error: Error | any) => {
+      throw new Error(`${errorPrefix} to "${url}" failed with ${error?.cause || error}`);
+    });
+
+    return res;
+  }
+
+  private prepareTextModelUrl: Record<LoadTextModelActions, string> = {
+    [LoadTextModelActions.LOAD]: '/load',
+    [LoadTextModelActions.UNLOAD]: '/unload',
+  };
+
+  async prepareTextModel(url: string, { modelName }: CLIPConfig, actions: LoadTextModelActions) {
+    try {
+      const request = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: { modelName } } };
+      const formData = await this.getFormData(request);
+      const res = await this.fetchData(url, this.prepareTextModelUrl[actions], formData);
+      if (res.status >= 400) {
+        throw new Error(`${errorPrefix} Loadings textual model failed with status ${res.status}: ${res.statusText}`);
+      }
+    } catch (error) {}
+  }
+
   async detectFaces(url: string, imagePath: string, { modelName, minScore }: FaceDetectionOptions) {
     const request = {
       [ModelTask.FACIAL_RECOGNITION]: {
@@ -61,16 +82,17 @@ export class MachineLearningRepository implements IMachineLearningRepository {
     return response[ModelTask.SEARCH];
   }
 
-  private async getFormData(payload: ModelPayload, config: MachineLearningRequest): Promise<FormData> {
+  private async getFormData(config: MachineLearningRequest, payload?: ModelPayload): Promise<FormData> {
     const formData = new FormData();
     formData.append('entries', JSON.stringify(config));
-
-    if ('imagePath' in payload) {
-      formData.append('image', new Blob([await readFile(payload.imagePath)]));
-    } else if ('text' in payload) {
-      formData.append('text', payload.text);
-    } else {
-      throw new Error('Invalid input');
+    if (payload) {
+      if ('imagePath' in payload) {
+        formData.append('image', new Blob([await readFile(payload.imagePath)]));
+      } else if ('text' in payload) {
+        formData.append('text', payload.text);
+      } else {
+        throw new Error('Invalid input');
+      }
     }
 
     return formData;
diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte
index aac8cd52123be..a188cbc67a5b3 100644
--- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte
+++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte
@@ -75,6 +75,21 @@
               </FormatMessage>
             </p>
           </SettingInputField>
+
+          <SettingAccordion
+            key="Preload clip model"
+            title={$t('admin.machine_learning_preload_model')}
+            subtitle={$t('admin.machine_learning_preload_model_setting_description')}
+          >
+            <div class="ml-4 mt-4 flex flex-col gap-4">
+              <SettingSwitch
+                title={$t('admin.machine_learning_preload_model_enabled')}
+                subtitle={$t('admin.machine_learning_preload_model_enabled_description')}
+                bind:checked={config.machineLearning.clip.loadTextualModelOnConnection.enabled}
+                disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.clip.enabled}
+              />
+            </div>
+          </SettingAccordion>
         </div>
       </SettingAccordion>
 
diff --git a/web/src/lib/i18n/en.json b/web/src/lib/i18n/en.json
index 22eb1c8f789dd..f8913e329cb8a 100644
--- a/web/src/lib/i18n/en.json
+++ b/web/src/lib/i18n/en.json
@@ -119,6 +119,12 @@
     "machine_learning_min_detection_score_description": "Minimum confidence score for a face to be detected from 0-1. Lower values will detect more faces but may result in false positives.",
     "machine_learning_min_recognized_faces": "Minimum recognized faces",
     "machine_learning_min_recognized_faces_description": "The minimum number of recognized faces for a person to be created. Increasing this makes Facial Recognition more precise at the cost of increasing the chance that a face is not assigned to a person.",
+    "machine_learning_preload_model": "Preload model",
+    "machine_learning_preload_model_enabled": "Enable preload model",
+    "machine_learning_preload_model_enabled_description": "Preload the textual model during the connexion instead of during the first search",
+    "machine_learning_preload_model_setting_description": "Preload the textual model during the connexion",
+    "machine_learning_preload_model_ttl": "Inactivity time before a model in unloaded",
+    "machine_learning_preload_model_ttl_description": "Preload the textual model during the connexion",
     "machine_learning_settings": "Machine Learning Settings",
     "machine_learning_settings_description": "Manage machine learning features and settings",
     "machine_learning_smart_search": "Smart Search",
diff --git a/web/src/lib/stores/websocket.ts b/web/src/lib/stores/websocket.ts
index d398ca52a9d89..d1eafff6c083d 100644
--- a/web/src/lib/stores/websocket.ts
+++ b/web/src/lib/stores/websocket.ts
@@ -35,6 +35,9 @@ const websocket: Socket<Events> = io({
   reconnection: true,
   forceNew: true,
   autoConnect: false,
+  query: {
+    background: false,
+  },
 });
 
 export const websocketStore = {