@@ -593,6 +593,10 @@ msgstr "Модель"
 msgid "Settings"
 msgstr "Настройки"
 
+#: ml_model/exceptions.py:20
+msgid "The model is not responding"
+msgstr "Модель не отвечает"
+
 #: ml_model/models.py:172
 #, python-format
 msgid "Settings of %(model_title)s"
@@ -46,7 +46,7 @@ class Deepseek(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         info = input_message.info.copy()
-        version = info.pop('version')
+        version = info.pop('version', 'deepseek/deepseek-r1')
         callback_data = {
             **input_message.info,
         }
@@ -11,7 +11,7 @@ from django.core.files import File
 
 from messages.models import Message
 
-from ml_model.models import ModelInput
+from ml_model.exceptions import ModelTimeoutError
 from ml_model.services.base import SimpleService
 
 
@@ -51,14 +51,33 @@ class Fluxlorafast(SimpleService):
         return messages
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
+        sizes = {
+            '1:1': 'square',
+            '1:1 HD': 'square_hd',
+            '3:4': 'portrait_4_3',
+            '9:16': 'portrait_16_9',
+            '4:3': 'landscape_4_3',
+            '16:9': 'landscape_16_9',
+        }
+        requests_number = 0
         start_time = time.time()
         version = input_message.info.get('version')
         translated_prompt = self.translate_prompt(input_message.content)
         callback_data = dict(
             {
-                'prompt': translated_prompt,
+                'prompt': f'in style of raif3_corporate Isometric illustration, '
+                          f'contemporary vector art style, 3/4 perspective view: {translated_prompt}',
                 'model_version': 'fb90c17a-d410-41e7-9961-dc7c687bc627',
-                **input_message.info,
+                'image_size': sizes.get(input_message.info.get('image_size', '1:1')),
+                'loras': [
+                    {
+                        'path': 'https://v3.fal.media/files/elephant/JthCZoCdAr7'
+                                'LqnOiNNVCC_pytorch_lora_weights.safetensors'
+                    }
+                ],
+                'guidance_scale': 5,
+                'num_inference_steps': 36,
+                'num_images': input_message.info.get('num_images', 4),
             }
         )
         client = httpx.Client(
@@ -74,6 +93,9 @@ class Fluxlorafast(SimpleService):
             status = client.get(result['status_url']).json()
             if status.get('status') == 'COMPLETED':
                 break
+            requests_number += 1
+            if requests_number == 271:
+                raise ModelTimeoutError
             time.sleep(1/3)
         process_time = timedelta(seconds=(time.time() - start_time))
         final_result = client.get(result['response_url']).json()
@@ -55,7 +55,7 @@ class Gemini(SimpleService):
 
     def make(self, input_message: Message, save: bool = True) -> list[Message]:
         info = input_message.info.copy()
-        version = info.pop('version')
+        version = info.pop('version', 'google/gemini-2.0-flash-001')
         callback_data = {
             'provider': {'order': ['Google AI Studio']},
             **input_message.info,
@@ -15,3 +15,8 @@ class LargeResourceConsumptionException(Exception): ...
 class DeploymentDisabled(Exception):
     def __str__(self):
         return _('The model is currently disabled. Please try again later.')
+
+
+class ModelTimeoutError(Exception):
+    def __str__(self):
+        return _('The model is not responding')