diff --git a/llm_node.py b/llm_node.py
index c2b8a61..1af98dd 100644
--- a/llm_node.py
+++ b/llm_node.py
@@ -16,76 +16,78 @@ class UniversalLLMNode:
     FUNCTION = "query"
     CATEGORY = "LLM/Universal"
 
-    def query(self, provider, model, prompt, max_tokens):
-        try:
-            if provider == "openai":
-                from openai import OpenAI
-                client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
-                completion = client.chat.completions.create(
-                    model=model,
-                    messages=[{"role": "user", "content": prompt}],
-                    max_tokens=max_tokens,
-                )
-                return (completion.choices[0].message.content,)
+def query(self, provider, model, prompt, max_tokens):
+    try:
+        # SDXLプロンプト生成指示文
+        sdxl_prompt = (
+            "You are a professional prompt engineer for Stable Diffusion XL (SDXL).\n"
+            "Given a scene description or list of tags, convert them into a clean, high-quality positive prompt in SDXL format.\n"
+            "Output the prompt as a single comma-separated line, with no explanations, no preface, and no extra text.\n"
+            "Follow this tag order strictly: girl, hairstyle, hair color, bangs, eye color, facial expression, body type, breast size, pose, situation.\n"
+            "Example: 1girl, long hair, blonde, straight bangs, blue eyes, smiling, slender, large breasts, sitting, by the lake in early summer\n"
+            "Only output the prompt line.\n"
+            f"Input: {prompt}"
+        )
 
-            elif provider == "anthropic":
-                import anthropic
-                api_key = os.getenv("ANTHROPIC_API_KEY")
-                client = anthropic.Anthropic(api_key=api_key)
-                sdxl_prompt = (
-                    "You are a professional prompt engineer for Stable Diffusion XL (SDXL).\n"
-                    "Given a scene description or list of tags, convert them into a clean, high-quality positive prompt in SDXL format.\n"
-                    "Output the prompt as a single comma-separated line, with no explanations, no preface, and no extra text.\n"
-                    "Follow this tag order strictly: girl, hairstyle, hair color, bangs, eye color, facial expression, body type, breast size, pose, situation.\n"
-                    "Example: 1girl, long hair, blonde, straight bangs, blue eyes, smiling, slender, large breasts, sitting, by the lake in early summer\n"
-                    "Only output the prompt line.\n"
-                    f"Input: {prompt}"
-                )
-                completion = client.messages.create(
-                    model=model,
-                    max_tokens=max_tokens,
-                    messages=[{"role": "user", "content": sdxl_prompt}]
-                )
-                return (completion.content[0].text,)
+        if provider == "openai":
+            from openai import OpenAI
+            client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+            completion = client.chat.completions.create(
+                model=model,
+                messages=[{"role": "user", "content": sdxl_prompt}],
+                max_tokens=max_tokens,
+            )
+            return (completion.choices[0].message.content,)
 
-            elif provider == "google":
-                import google.generativeai as genai
-                genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-                model_obj = genai.GenerativeModel(model)
-                response = model_obj.generate_content(prompt)
-                return (response.text,)
+        elif provider == "anthropic":
+            import anthropic
+            api_key = os.getenv("ANTHROPIC_API_KEY")
+            client = anthropic.Anthropic(api_key=api_key)
+            completion = client.messages.create(
+                model=model,
+                max_tokens=max_tokens,
+                messages=[{"role": "user", "content": sdxl_prompt}]
+            )
+            return (completion.content[0].text,)
 
-            elif provider == "groq":
-                from openai import OpenAI
-                client = OpenAI(
-                    api_key=os.getenv("GROQ_API_KEY"),
-                    base_url="https://api.groq.com/openai/v1"
-                )
-                completion = client.chat.completions.create(
-                    model=model,
-                    messages=[{"role": "user", "content": prompt}],
-                    max_tokens=max_tokens,
-                )
-                return (completion.choices[0].message.content,)
+        elif provider == "google":
+            import google.generativeai as genai
+            genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+            model_obj = genai.GenerativeModel(model)
+            response = model_obj.generate_content(sdxl_prompt)
+            return (response.text,)
 
-            elif provider == "mistral":
-                from openai import OpenAI
-                client = OpenAI(
-                    api_key=os.getenv("MISTRAL_API_KEY"),
-                    base_url="https://api.mistral.ai/v1"
-                )
-                completion = client.chat.completions.create(
-                    model=model,
-                    messages=[{"role": "user", "content": prompt}],
-                    max_tokens=max_tokens,
-                )
-                return (completion.choices[0].message.content,)
+        elif provider == "groq":
+            from openai import OpenAI
+            client = OpenAI(
+                api_key=os.getenv("GROQ_API_KEY"),
+                base_url="https://api.groq.com/openai/v1"
+            )
+            completion = client.chat.completions.create(
+                model=model,
+                messages=[{"role": "user", "content": sdxl_prompt}],
+                max_tokens=max_tokens,
+            )
+            return (completion.choices[0].message.content,)
 
-            else:
-                return ("[ERROR] Unsupported provider.",)
+        elif provider == "mistral":
+            from openai import OpenAI
+            client = OpenAI(
+                api_key=os.getenv("MISTRAL_API_KEY"),
+                base_url="https://api.mistral.ai/v1"
+            )
+            completion = client.chat.completions.create(
+                model=model,
+                messages=[{"role": "user", "content": sdxl_prompt}],
+                max_tokens=max_tokens,
+            )
+            return (completion.choices[0].message.content,)
 
-        except Exception as e:
-            return (f"[LLM Error] {str(e)}",)
+        else:
+            return ("[ERROR] Unsupported provider.",)
+
+    except Exception as e:
+        return (f"[LLM Error] {str(e)}",)
 
 NODE_CLASS_MAPPINGS = {
     "UniversalLLMNode": UniversalLLMNode