diff --git a/nodes/image_modal_nodes.py b/nodes/image_modal_nodes.py
index aa726d0..c369c9a 100644
--- a/nodes/image_modal_nodes.py
+++ b/nodes/image_modal_nodes.py
@@ -209,8 +209,8 @@ class ModalMidJourneyGenerateImage:
         return {
             "required": {
                 "prompt": ("STRING", {"default": "一幅宏大壮美的山川画卷", "multiline": True}),
-                "endpoint": ("STRING", {"default": "bowongai-dev--text-video-agent-fastapi-app.modal.run"}),
-                "timeout": ("INT", {"default": 120, "min": 10, "max": 600}),
+                "endpoint": ("STRING", {"default": "bowongai-test--text-video-agent-fastapi-app.modal.run"}),
+                "timeout": ("INT", {"default": 300, "min": 10, "max": 1200}),
             },
             "optional": {
                 "image": ("IMAGE",),
@@ -225,8 +225,7 @@ class ModalMidJourneyGenerateImage:
 
     def process(self, prompt: str, endpoint: str, timeout: int, **kwargs):
         try:
-            logger.info("请求异步接口")
-            interval = 2
+            logger.info("请求同步接口")
             format = "PNG"
             if "image" in kwargs and kwargs["image"] is not None:
                 image = kwargs["image"]
@@ -235,35 +234,25 @@ class ModalMidJourneyGenerateImage:
                     f'image/{format.lower()}')}
             else:
                 files = None
-            job_resp = send_request("post", f"https://{endpoint}/api/302/mj/async/generate/image?prompt={prompt}",
+            job_resp = send_request("post", f"https://{endpoint}/api/union/img/sync/generate/image",
                                     headers={'Authorization': 'Bearer bowong7777'},
+                                    data={"prompt": prompt},
                                     files=files,
-                                    timeout=150)
+                                    timeout=timeout)
             job_resp.raise_for_status()
             job_resp = job_resp.json()
             if not job_resp["status"]:
                 raise Exception("生成失败, 可能因为风控")
-            job_id = job_resp["data"]
-            for _ in range(0, timeout // interval, interval):
-                logger.info("查询结果")
-                resp = send_request("get", f"https://{endpoint}/api/302/mj/async/query/status?task_id={job_id}",
-                                    headers={'Authorization': 'Bearer bowong7777'}, timeout=30)
-                resp.raise_for_status()
-                if resp.json()["status"]:
-                    if "fail" in resp.json()["msg"]:
-                        raise Exception("生成失败，可能因为风控")
-                    result_url = resp.json()["data"]
-                    if isinstance(result_url, list):
-                        result_list = []
-                        for url in result_url:
-                            logger.success("img_url: " + url)
-                            result_list.append(url_to_tensor(url).squeeze(0))
-                        result_list = torch.stack(result_list, dim=0)
-                        return (result_list,)
-                    logger.success("img_url: " + result_url)
-                    return (url_to_tensor(result_url),)
-                sleep(interval)
-            raise Exception("等待超时")
+            result_url = job_resp["data"]
+            if isinstance(result_url, list):
+                result_list = []
+                for url in result_url:
+                    logger.success("img_url: " + url)
+                    result_list.append(url_to_tensor(url).squeeze(0))
+                result_list = torch.stack(result_list, dim=0)
+                return (result_list,)
+            logger.success("img_url: " + result_url)
+            return (url_to_tensor(result_url),)
         except Exception as e:
             raise e
 
@@ -274,7 +263,7 @@ class ModalMidJourneyDescribeImage:
         return {
             "required": {
                 "image": ("IMAGE",),
-                "endpoint": ("STRING", {"default": "bowongai-dev--text-video-agent-fastapi-app.modal.run"}),
+                "endpoint": ("STRING", {"default": "bowongai-test--text-video-agent-fastapi-app.modal.run"}),
             },
         }
 
@@ -293,7 +282,7 @@ class ModalMidJourneyDescribeImage:
                                     files={"img_file": (
                                         'image.' + format.lower(), tensor_to_image_bytes(image, format),
                                         f'image/{format.lower()}')},
-                                    timeout=150)
+                                    timeout=300)
             job_resp.raise_for_status()
             job_resp = job_resp.json()
             if not job_resp["status"]: