__init__.py

@@ -85,9 +85,9 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "Jinja2RenderTemplate": "Jinja2格式Prompt模板渲染",
     "JMGestureCorrect": "人物侧身图片转为正面图-即梦",
     "ModalClothesMask": "模特指定衣服替换为指定颜色",
-    "ModalEditCustom": "Prompt生/修图-Gemini",
+    "ModalEditCustom": "Prompt生/修图",
-    "ModalMidJourneyGenerateImage": "Prompt生/修图-MJ",
+    "ModalMidJourneyGenerateImage": "Prompt生/修图",
-    "ModalMidJourneyDescribeImage": "反推生图提示词-MJ",
+    "ModalMidJourneyDescribeImage": "反推生图提示词",
     "JMCustom": "Prompt生视频",
     "VideoMerge":"顺序合并视频"
 }

ext/comfyui_modal_deploy.py

@@ -27,9 +27,6 @@ image = (
     .run_commands("comfy node install https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes.git")
     .run_commands("comfy node install https://github.com/jamesWalker55/comfyui-various.git")
     .run_commands("comfy node install https://gitea.bowongai.com/Polaris/ComfyUI-CustomNode.git")
-    .run_commands("comfy node install https://github.com/rgthree/rgthree-comfy.git")
-    .run_commands("comfy node install https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt")
-    .run_commands("comfy node install https://github.com/kijai/ComfyUI-DepthAnythingV2")
     .pip_install("sageattention")
     .run_commands("rm -rf /root/comfy/ComfyUI/models&&ln -s /models /root/comfy/ComfyUI/models")
     .run_commands("rm -rf /root/comfy/ComfyUI/input&&ln -s /models/input /root/comfy/ComfyUI/input")
@@ -61,25 +58,16 @@ vol = modal.Volume.from_name("comfy_model", environment_name="dev", create_if_mi
 def ui_1():
     subprocess.Popen("comfy launch -- --listen 0.0.0.0 --port 8000", shell=True)
 
-@app.function(
+# @app.function(
-    cpu=(4, 64),
+#     max_containers=1,
-    memory=(4096, 131072),
+#     secrets=[custom_secret]
-    min_containers=0,
+# )
-    buffer_containers=0,
+# @modal.concurrent(
-    max_containers=1,
+#     max_inputs=10
-    gpu="L40S:3",
+# )
-    scaledown_window=600,
+# @modal.web_server(8000, startup_timeout=60)
-    secrets=[custom_secret],
+# def ui_2():
-    volumes={
+#     subprocess.Popen("comfy launch -- --cpu --listen 0.0.0.0 --port 8000", shell=True)
-        "/models": vol
-    }
-)
-@modal.concurrent(
-    max_inputs=20
-)
-@modal.web_server(8000, startup_timeout=60)
-def ui_2():
-    subprocess.Popen("comfy launch -- --listen 0.0.0.0 --port 8000", shell=True)
 #
 # @app.function(
 #     max_containers=1,

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