diff --git a/.DS_Store b/.DS_Store
index 7408157..fdc0259 100644
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diff --git a/api/service/__pycache__/generation_service.cpython-313.pyc b/api/service/__pycache__/generation_service.cpython-313.pyc
index dd5542e..fed7b7f 100644
Binary files a/api/service/__pycache__/generation_service.cpython-313.pyc and b/api/service/__pycache__/generation_service.cpython-313.pyc differ
diff --git a/api/service/generation_service.py b/api/service/generation_service.py
index 6666c08..b15f947 100644
--- a/api/service/generation_service.py
+++ b/api/service/generation_service.py
@@ -149,14 +149,26 @@ class GenerationService:
         # 2. Получаем ассеты-референсы (если они есть)
         reference_assets: List[Asset] = []
         media_group_bytes: List[bytes] = []
-        generation_prompt = "Create image for "
+        generation_prompt = f"""
+    You are an expert prompt engineer for Google Imagen 3.
+    Create a single, detailed, natural language prompt for image generation based on these inputs:
+    
+    $char_bio_inserted
+    2. SCENE DESCRIPTION: {generation.prompt}
+    
+    Rules:
+    - Integrate the character's appearance naturally into the scene description.
+    - Focus on lighting, texture, and composition (e.g. "cinematic lighting", "8k resolution").
+    - Replace generic terms like "clean girl outfit" with specific visual descriptions (e.g. "minimalist beige cashmere sweater").
+    - OUTPUT ONLY THE FINAL PROMPT TEXT. NO MARKDOWN.
+    """
         if generation.linked_character_id is not None:
             char_info = await self.dao.chars.get_character(generation.linked_character_id, with_image_data=True)
             if char_info is None:
                 raise Exception(f"Character ID {generation.linked_character_id} not found")
             if generation.use_profile_image:
                 media_group_bytes.append(char_info.character_image_data)
-            generation_prompt = f"""Create image for character with bio: {char_info.character_bio}"""
+            generation_prompt = generation_prompt.replace("$char_bio_inserted", f"1. CHARACTER BIO (Must be strictly followed): {char_info.character_bio}")
 
         reference_assets = await self.dao.assets.get_assets_by_ids(generation.assets_list)
         # Извлекаем данные (bytes) из ассетов для отправки в Gemini
@@ -166,7 +178,9 @@ class GenerationService:
             for asset in reference_assets
             if asset.data is not None and asset.type == AssetType.IMAGE
         )
-        generation_prompt+=f" User also provide prompt: {generation.prompt}"
+        if media_group_bytes:
+            generation_prompt += " \n\n[Reference Image Guidance]: Use the provided image(s) as the STRICT reference for the main character's facial features and hair, enviroment or clothes. Maintain high fidelity to the reference identity."
+        
         logger.info(f"Final generation prompt assembled. Length: {len(generation_prompt)}. Media count: {len(media_group_bytes)}")
 
         # 3. Запускаем процесс генерации и симуляцию прогресса
@@ -183,7 +197,7 @@ class GenerationService:
                 gemini=self.gemini
             )
                 
-            # Update metrics from API (Common for both)
+        
             # Update metrics from API (Common for both)
             generation.api_execution_time_seconds = metrics.get("api_execution_time_seconds")
             generation.token_usage = metrics.get("token_usage")