diff --git a/ai_server.py b/ai_server.py
index 6c38934..2f0a54e 100644
--- a/ai_server.py
+++ b/ai_server.py
@@ -4,11 +4,80 @@
 # uvicorn ai_server:app --reload
 
 import torch
+import os
+import threading, queue
+import time
+
+from os.path import join, dirname
+
+from diffusers import StableDiffusionPipeline
+
+from dotenv import load_dotenv
 
 from fastapi import FastAPI
 app = FastAPI()
 
+load_dotenv(verbose=True)
+
+dotenv_path = join(dirname(__file__), '.env')
+
+load_dotenv(dotenv_path)
+
+AUTH_TOKEN = os.environ.get("AUTH_TOKEN")
+
+pipe = StableDiffusionPipeline.from_pretrained(
+
+    "CompVis/stable-diffusion-v1-4",
+
+    revision="fp16",
+
+    torch_dtype=torch.float16, use_auth_token=AUTH_TOKEN)
+pipe.to("cuda")
+
+prompt = "concept art. Illustration,hyper quality,highly detailed, cinematic lighting. A teenage Japanese youth with neko cat ears on head top and neko cat tail on waist, He has a beautiful face with a hint of childhood. equipped with post-apocalyptic armour and tactical hand axe, is looking at us against an abandoned Tokyo building. He is wearing jeans. Long hair that extends to his back."
+
+OUTPUT_DIR = "output/catboy04"
+
+# 画像生成実行処理
+def imgGenerate(imgOrder):
+    with autocast("cuda"):
+        image = pipe(imgOrder["prompt"])["sample"][0]
+
+        if not os.path.exists(imgOrder["outputdir"]):
+            # ディレクトリが存在しない場合、ディレクトリを作成する
+            os.makedirs(imgOrder["outputdir"])
+
+        image.save(f"{imgOrder['outputdir']}/output001.png")
+
+# 画像生成スレッド用処理
+def generateThread(q):
+    print("スレッド開始")
+    while True:
+        imgOrder = q.get()
+        imgGenerate(imgOrder)
+        time.sleep(3)
+        q.task_done()
+
+
+q = queue.Queue()
+
+# 画像生成スレッド実行
+thread = threading.Thread(target=generateThread, args=(q,))
+thread.start()
+
+from torch import autocast
+
+# サーバ待ち受け設定
 @app.get("/")
 async def hello():
     return {"message" : "Hello,World"}
 
+@app.get("/render")
+async def render():
+    # キューに情報を追加
+    imgOrder = {}
+    imgOrder["prompt"] = "cute cat"
+    imgOrder["outputdir"] = "output/cutecat01"
+    q.put(imgOrder)
+
+    return {"message" : "render"}