@@ -21,6 +21,7 @@ from ml_model.services.gptimage import Gptimage
 from ml_model.services.granite import Granite
 from ml_model.services.grok import Grok
 from ml_model.services.grok_4_1_fast import Grok_4_1_Fast
+from ml_model.services.grok_imagine_video import Grok_Imagine_Video
 from ml_model.services.hailuo import Hailuo
 from ml_model.services.hunyuan import Hunyuan
 from ml_model.services.iconic import Iconic
@@ -0,0 +1,64 @@
+import base64
+import time
+from datetime import timedelta
+from decimal import Decimal
+from io import BytesIO
+from typing import Any
+
+import filetype
+import requests
+from django.core.files import File
+from replicate.exceptions import ModelError
+
+from messages.models import Message
+from ml_model.exceptions import RequestBlocked, GenerationException
+from ml_model.services.base import SimpleService
+from ml_model.tasks import replicate_run
+
+from payments.exceptions.insufficient_balance import InsufficientBalance
+from payments.selectors.payment_plan_selector import PaymentPlanSelector
+
+
+class Grok_Imagine_Video(SimpleService):
+    TOKENS_COST = Decimal('15')
+
+    @classmethod
+    def predict_price(cls, content: str, file_exists: bool, info: dict[str, Any]) -> Decimal | None:
+        duration = info['duration']
+        price = cls.TOKENS_COST * duration
+        return price.quantize(Decimal('0.1'), rounding='ROUND_UP')
+
+    def calculate_price(self, duration: int) -> Decimal:
+        return (self.TOKENS_COST * duration).quantize(Decimal('0.1'), rounding='ROUND_UP')
+
+    def save_results(self, content: str, t: timedelta, video: str, save: bool = True) -> list[Message]:
+        msg = Message(
+            content=content,
+            content_object=self.store,
+            elapsed_time=t,
+            file=File(BytesIO(requests.get(video).content), '.mp4'),
+        )
+        if save:
+            return Message.objects.bulk_create([msg])
+        return [msg]
+
+    def make(self, input_message: Message, save: bool = True) -> list[Message]:
+        duration = input_message.info.get('duration', 5)
+        if (balance := PaymentPlanSelector(self.store.user).get_current_balance()) < (
+            cost := self.TOKENS_COST * duration
+        ):
+            raise InsufficientBalance(balance, cost)
+        callback_data = dict({'prompt': self.translate_prompt(input_message.content), **input_message.info})
+        if image := input_message.file:
+            callback_data.update({'image': image.url})
+        start_time = time.time()
+        try:
+            video = replicate_run('xai/grok-imagine-video', callback_data)
+        except ModelError as exc:
+            if any(error in str(exc) for error in ('E005', 'E006', 'sexual')):
+                raise RequestBlocked
+            raise GenerationException from exc
+        process_time = timedelta(seconds=(time.time() - start_time))
+        self.handle_invoice(input_message.content_object.model, duration=duration)
+        msgs = self.save_results(input_message.content, process_time, video, save)
+        return msgs