diff --git a/ai_agent.py b/ai_agent.py
index 756765e..b514caa 100644
--- a/ai_agent.py
+++ b/ai_agent.py
@@ -29,7 +29,7 @@ PRIVATE_CHAT_MAX_MESSAGES = 40
 MAX_OUTPUT_TOKENS = 500
 
 FAL_MODEL = "fal-ai/bytedance/seedream/v4.5/text-to-image"
-REPLICATE_MODEL = "ultracoderru/nova-anime-xl-il-140:83a9531bdd7eab282e68d16a80d7b25502df827e43d286360299fe6321d81d06"
+REPLICATE_MODEL = "ultracoderru/nova-anime-xl-14:1a8ded85309ffeb41780db667102ea935e4140b1a15f4a0f669a60a104b722db"
 
 
 @dataclass()
@@ -286,12 +286,13 @@ class AiAgent:
             "height": height,
             "guidance_scale": 4.5,
             "num_inference_steps": 20,
+            "hires_enable": True,
             "disable_safety_checker": True
         }
 
         try:
             outputs = await self.replicate_client.async_run(REPLICATE_MODEL, input=arguments)
-            image = _convert_image_to_jpeg(await outputs[0].aread())
+            image = _convert_image_to_jpeg(await outputs[0].aread(), (width, height))
             return Ok(image)
         except Exception as e:
             print(f"Ошибка генерации изображения: {e}")
@@ -407,8 +408,10 @@ def _get_resolution_for_aspect_ratio(aspect_ratio: str) -> Tuple[int, int]:
     return aspect_ratio_resolution_map.get(aspect_ratio, (1280, 1024))
 
 
-def _convert_image_to_jpeg(image: bytes) -> bytes:
+def _convert_image_to_jpeg(image: bytes, size: Optional[tuple[int, int]] = None) -> bytes:
     img = Image.open(BytesIO(image)).convert("RGB")
+    if size is not None:
+        img = img.resize(size=size, resample=Image.Resampling.BILINEAR)
     output = BytesIO()
     img.save(output, format='JPEG', quality=87, optimize=True)
     return output.getvalue()