FIX midjourney修图改为异步

nodes/image_modal_nodes.py

@@ -203,7 +203,8 @@ class ModalMidJourneyGenerateImage:
             "required": {
                 "prompt": ("STRING", {"default": "一幅宏大壮美的山川画卷", "multiline": True}),
                 "image": ("IMAGE",),
-                "endpoint": ("STRING", {"default": "bowongai-dev--bowong-ai-video-gemini-fastapi-webapp.modal.run"}),
+                "endpoint": ("STRING", {"default": "bowongai-dev--text-video-agent-fastapi-app.modal.run"}),
+                "timeout": ("INT", {"default": 120, "min": 10, "max": 600}),
             },
         }
 
@@ -213,15 +214,13 @@ class ModalMidJourneyGenerateImage:
     OUTPUT_NODE = False
     CATEGORY = "不忘科技-自定义节点🚩/图片/Midjourney"
 
-    def process(self, prompt: str, image:torch.Tensor, endpoint: str):
+    def process(self, prompt: str, image:torch.Tensor, endpoint: str, timeout: int):
         try:
-            logger.info("请求同步接口")
+            logger.info("请求异步接口")
+            interval = 2
             format = "PNG"
-            job_resp = send_request("post", f"https://{endpoint}/mj_router/sync/generate/image",
+            job_resp = send_request("post", f"https://{endpoint}/api/mj/async/generate/image?prompt={prompt}",
                                     headers={'Authorization': 'Bearer bowong7777'},
-                                    data={
-                                        "prompt": prompt,
-                                    },
                                     files={"img_file": (
                                         'image.' + format.lower(), tensor_to_image_bytes(image, format),
                                         f'image/{format.lower()}')},
@@ -230,9 +229,20 @@ class ModalMidJourneyGenerateImage:
             job_resp = job_resp.json()
             if "失败" in job_resp["msg"] or "fail" in job_resp["msg"] or "error" in job_resp["msg"]:
                 raise Exception("生成失败")
-            result_url = job_resp["data"]
+            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/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"]
                     logger.success("img_url: "+result_url)
                     return (url_to_tensor(result_url),)
+                sleep(interval)
+            raise Exception("等待超时")
         except Exception as e:
             raise e