diff --git a/BaiHu/Tools/TestComfyUIApi.py b/BaiHu/Tools/TestComfyUIApi.py
index 1fcd667b..5f806d2c 100644
--- a/BaiHu/Tools/TestComfyUIApi.py
+++ b/BaiHu/Tools/TestComfyUIApi.py
@@ -1,67 +1,16 @@
-# system_stats
-import json
-import urllib.parse
-import urllib.request
-
-import urllib.parse
-import urllib.request
 from Util import ConfigUtil
 from Util.ComfyUIUtil import *
-from Util.CommonUtil import *
-
-
-def queue_prompt(server_address, client_id, prompt):
-    p = {"prompt": prompt, "client_id": client_id}
-    data = json.dumps(p).encode('utf-8')
-    req = urllib.request.Request("http://{}/prompt".format(server_address), data=data)
-    try:
-        urllib.request.urlopen(req)
-    except Exception as err:
-        print(err)
-    return json.loads(urllib.request.urlopen(req).read())
-
-
-'''
-vram_total # 显存容量：25756696576 即24GB
-vram_free  # 显存剩余：25756696576
-torch_vram_total 16005464064
-torch_vram_free  331041996
-'''
-
 
-def getUse(server_address):
-    req = urllib.request.Request("http://{}/system_stats".format(server_address))
-    res = json.loads(urllib.request.urlopen(req).read())
-
-    vram_total = res['devices'][0]['vram_total']
-    vram_total_str = str(int(vram_total / 1024 / 1024 / 1024 + 0.5))
-    vram_free = res['devices'][0]['vram_free']
-    used_vram = vram_total - vram_free
-    used_vram_str = str(int((vram_total - vram_free) / 1024 / 1024 / 1024 + 0.5))
-    used_lv = round(1.0 * (used_vram) / vram_total * 100, 2)
-    print("显存共：" + vram_total_str + "GB,已使用：" + used_vram_str + "GB,使用率：" + str(used_lv) + "% ")
-
-
-# GET /system_stats
-# 系统统计信息接口
 
 # 打开配置文件
 config = ConfigUtil.getConfig()
-
 server_address = config.get('comfyui', 'server_address')
-getUse(server_address)
-
-# 打开文件并读取内容
-file_path = r'../JSON/clearGPU.json'
-with open(file_path, 'r', encoding='utf-8') as file:
-    prompt_data = json.load(file)
 
-queue_prompt(server_address, "cleanGpuRam", prompt_data)
+# 显示显卡使用率
+print('清理显存前：' + getUse(server_address))
 
-getUse(server_address)
-# 如何清空Comfyui的gpu缓存
-# https://wailikeji.blog.csdn.net/article/details/140035515
+# 清理GPU缓存
+clearGPU(server_address)
 
-# https://comfy.icu/node/easy-clearCacheAll
-# https://github.com/comfyanonymous/ComfyUI/issues/3615
-# https://github.com/yolain/ComfyUI-Easy-Use/issues/124
+# 显示显卡使用率
+print('清理显存后：' + getUse(server_address))
diff --git a/BaiHu/Util/ComfyUIUtil.py b/BaiHu/Util/ComfyUIUtil.py
index 6c8857fd..d7faa39d 100644
--- a/BaiHu/Util/ComfyUIUtil.py
+++ b/BaiHu/Util/ComfyUIUtil.py
@@ -1,3 +1,4 @@
+import os.path
 import urllib.parse
 import urllib.request
 
@@ -57,7 +58,7 @@ def get_images(ws, server_address, client_id, prompt):
                 if data['node'] is None and data['prompt_id'] == prompt_id:
                     break  # 执行完成
         else:
-            #printf("我在这里...")
+            # printf("我在这里...")
             continue  # 预览为二进制数据
 
     history = get_history(server_address, prompt_id)[prompt_id]
@@ -82,6 +83,35 @@ def get_images(ws, server_address, client_id, prompt):
     return output_images
 
 
+# 获取显卡使用率
+def getUse(server_address):
+    req = urllib.request.Request("http://{}/system_stats".format(server_address))
+    res = json.loads(urllib.request.urlopen(req).read())
+
+    vram_total = res['devices'][0]['vram_total']
+    vram_total_str = str(int(vram_total / 1024 / 1024 / 1024 + 0.5))
+    vram_free = res['devices'][0]['vram_free']
+    used_vram = vram_total - vram_free
+    used_vram_str = str(int((vram_total - vram_free) / 1024 / 1024 / 1024 + 0.5))
+    used_lv = round(1.0 * (used_vram) / vram_total * 100, 2)
+    return "显存共：" + vram_total_str + "GB,已使用：" + used_vram_str + "GB,使用率：" + str(used_lv) + "% "
+
+
+# 如何清空Comfyui的gpu缓存
+# https://wailikeji.blog.csdn.net/article/details/140035515
+
+# 清理GPU显存
+def clearGPU(server_address):
+    # 打开文件并读取内容
+    file_path = r'../JSON/clearGPU.json'
+    if not os.path.exists(file_path):
+        file_path = r'./JSON/clearGPU.json'
+    with open(file_path, 'r', encoding='utf-8') as file:
+        prompt_data = json.load(file)
+    # 清理
+    queue_prompt(server_address, "cleanGpuRam", prompt_data)
+
+
 # 生成图像
 def generate_clip(server_address, prompt_data, client_id, output_path, myfilter):
     ws = websocket.WebSocket()
diff --git a/BaiHu/Util/__pycache__/ComfyUIUtil.cpython-310.pyc b/BaiHu/Util/__pycache__/ComfyUIUtil.cpython-310.pyc
index e445aeb6..3e85484d 100644
Binary files a/BaiHu/Util/__pycache__/ComfyUIUtil.cpython-310.pyc and b/BaiHu/Util/__pycache__/ComfyUIUtil.cpython-310.pyc differ