diff --git a/backend/data/workflow_rewrite_expert.json b/backend/data/workflow_rewrite_expert.json
index f0387d6..97a838b 100644
--- a/backend/data/workflow_rewrite_expert.json
+++ b/backend/data/workflow_rewrite_expert.json
@@ -27,7 +27,7 @@
     {
         "name": "flux风格特征迁移",
         "description": "当用户在使用flux的工作流并提及风格特征迁移时优先推荐该节点，该类节用途主要应用于flux工作流的图片风格特征迁移和提取，风格转换，两张图片参考迁移，重绘遮罩区域或重绘背景，使用时请先分析是否为flux工作流",
-        "content": "{\n  \"1\": {\n    \"inputs\": {\n      \"downsampling_factor\": 3,\n      \"downsampling_function\": \"area\",\n      \"mode\": \"center crop (square)\",\n      \"weight\": 1,\n      \"autocrop_margin\": 0.1,\n      \"style_model\": [\n        \"2\",\n        0\n      ],\n      \"clip_vision\": [\n        \"3\",\n        0\n      ]\n    },\n    \"class_type\": \"ReduxAdvanced\",\n    \"_meta\": {\n      \"title\": \"ReduxAdvanced\"\n    }\n  },\n  \"2\": {\n    \"inputs\": {\n      \"style_model_name\": \"flux1-redux-dev.safetensors\"\n    },\n    \"class_type\": \"StyleModelLoader\",\n    \"_meta\": {\n      \"title\": \"Load Style Model\"\n    }\n  },\n  \"3\": {\n    \"inputs\": {\n      \"clip_name\": \"sigclip_vision_patch14_384.safetensors\"\n    },\n    \"class_type\": \"CLIPVisionLoader\",\n    \"_meta\": {\n      \"title\": \"Load CLIP Vision\"\n    }\n  }\n}"
+        "content": "需要注意：Flux_redux是多个节点连接的组合，针对reduxadvanced节点中condition、style_model、clip_vision这三类属于必须连接项、image可以选择加载图片或从vaedeconde后面接入、mask类型属于选择性连接，当用户提到遮罩或限定区域重绘时需要连接，其他情况请按照下述json进行参考改写。\n{\n  \"1\": {\n    \"inputs\": {\n      \"downsampling_factor\": 3,\n      \"downsampling_function\": \"area\",\n      \"mode\": \"center crop (square)\",\n      \"weight\": 1,\n      \"autocrop_margin\": 0.1,\n      \"style_model\": [\n        \"2\",\n        0\n      ],\n      \"clip_vision\": [\n        \"3\",\n        0\n      ]\n    },\n    \"class_type\": \"ReduxAdvanced\",\n    \"_meta\": {\n      \"title\": \"ReduxAdvanced\"\n    }\n  },\n  \"2\": {\n    \"inputs\": {\n      \"style_model_name\": \"flux1-redux-dev.safetensors\"\n    },\n    \"class_type\": \"StyleModelLoader\",\n    \"_meta\": {\n      \"title\": \"Load Style Model\"\n    }\n  },\n  \"3\": {\n    \"inputs\": {\n      \"clip_name\": \"sigclip_vision_patch14_384.safetensors\"\n    },\n    \"class_type\": \"CLIPVisionLoader\",\n    \"_meta\": {\n      \"title\": \"Load CLIP Vision\"\n    }\n  }\n}"
     },
     {
         "name": "sdxl特征迁移",
@@ -36,8 +36,8 @@
     },
     {
         "name": "扩图",
-        "description": "给我一个扩图链路(包括图像加载和图像输出)",
-        "content": "{\n  \"1\": {\n    \"inputs\": {\n      \"image\": \"01.JPG\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"$image.image!:The image to analyze, must be a url\"\n    }\n  },\n  \"2\": {\n    \"inputs\": {\n      \"model\": \"runwayml/stable-diffusion-xl-base-1.0\",\n      \"precision\": \"fp16\",\n      \"attention\": \"sdpa\"\n    },\n    \"class_type\": \"DownloadAndLoadModel\",\n    \"_meta\": {\n      \"title\": \"DownloadAndLoadModel\"\n    }\n  },\n  \"3\": {\n    \"inputs\": {\n      \"prompt\": \"A beautiful girl with long hair and a white dress\",\n      \"image\": [\n        \"1\",\n        0\n      ],\n      \"model\": [\n        \"2\",\n        0\n      ]\n    },\n    \"class_type\": \"StableDiffusionXLRun\",\n    \"_meta\": {\n      \"title\": \"StableDiffusionXLRun\"\n    }\n  },\n  \"4\": {\n    \"inputs\": {\n      \"image\": [\n        \"3\",\n        0\n      ]\n    },\n    \"class_type\": \"easy showImage\",\n    \"_meta\": {\n      \"title\": \"Show Image\"\n    }\n  }\n}"
+        "description": "对图片进行外补扩充，使其图片可以扩充到指定的尺寸大小且外扩像素的内容能够跟原图风格保持一致，常应用于场景图片扩充、将图片外扩填充，当用户提及到扩图、图片外补、将图片扩充到指定尺寸等需求时优先推荐该类工作流",
+        "content": "这里要注意参考一下几个节点的值，加载的图片输入必须连接到pad image for outpaintng和Getresolution两个节点上面，输入的方式可以为load_image或者从当前画布的图片输出中连接。针对于图片的上下左右四个方向进行自定义支持计算根据用户描述进行对应的数值换算，除此之外，该工作流以Flux_fiil作为扩图原理，详细的流程请参考一下json，结合用户需求来进行改写，当使用该经验时严格按照一下上述描述和以下json流程进行改写。\n{\n  \"id\": \"79aace38-7851-4b96-bd56-af64f0d7dfab\",\n  \"revision\": 0,\n  \"last_node_id\": 23,\n  \"last_link_id\": 28,\n  \"nodes\": [\n    {\n      \"id\": 2,\n      \"type\": \"FluxGuidance\",\n      \"pos\": [\n        2872.55078125,\n        689.3768310546875\n      ],\n      \"size\": [\n        220,\n        58\n      ],\n      \"flags\": {},\n      \"order\": 7,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"条件\",\n          \"name\": \"conditioning\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 1\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"条件\",\n          \"name\": \"CONDITIONING\",\n          \"type\": \"CONDITIONING\",\n          \"slot_index\": 0,\n          \"links\": [\n            18\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"FluxGuidance\"\n      },\n      \"widgets_values\": [\n        30\n      ]\n    },\n    {\n      \"id\": 3,\n      \"type\": \"CLIPTextEncode\",\n      \"pos\": [\n        2887.37939453125,\n        797.4251708984375\n      ],\n      \"size\": [\n        210,\n        76\n      ],\n      \"flags\": {},\n      \"order\": 0,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"CLIP\",\n          \"name\": \"clip\",\n          \"type\": \"CLIP\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"条件\",\n          \"name\": \"CONDITIONING\",\n          \"type\": \"CONDITIONING\",\n          \"links\": [\n            1,\n            16\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"CLIPTextEncode\"\n      },\n      \"widgets_values\": [\n        \"\"\n      ]\n    },\n    {\n      \"id\": 6,\n      \"type\": \"VAEDecode\",\n      \"pos\": [\n        3464.810791015625,\n        875.4022827148438\n      ],\n      \"size\": [\n        140,\n        46\n      ],\n      \"flags\": {},\n      \"order\": 18,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"Latent\",\n          \"name\": \"samples\",\n          \"type\": \"LATENT\",\n          \"link\": 4\n        },\n        {\n          \"label\": \"VAE\",\n          \"name\": \"vae\",\n          \"type\": \"VAE\",\n          \"link\": 5\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"图像\",\n          \"name\": \"IMAGE\",\n          \"type\": \"IMAGE\",\n          \"slot_index\": 0,\n          \"links\": [\n            28\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"VAEDecode\"\n      }\n    },\n    {\n      \"id\": 7,\n      \"type\": \"KSampler\",\n      \"pos\": [\n        3449.30126953125,\n        561.646728515625\n      ],\n      \"size\": [\n        272.61431884765625,\n        262\n      ],\n      \"flags\": {},\n      \"order\": 17,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"模型\",\n          \"name\": \"model\",\n          \"type\": \"MODEL\",\n          \"link\": 6\n        },\n        {\n          \"label\": \"正面条件\",\n          \"name\": \"positive\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 7\n        },\n        {\n          \"label\": \"负面条件\",\n          \"name\": \"negative\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 8\n        },\n        {\n          \"label\": \"Latent\",\n          \"name\": \"latent_image\",\n          \"type\": \"LATENT\",\n          \"link\": 9\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"Latent\",\n          \"name\": \"LATENT\",\n          \"type\": \"LATENT\",\n          \"slot_index\": 0,\n          \"links\": [\n            4\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"KSampler\"\n      },\n      \"widgets_values\": [\n        422431662489005,\n        \"randomize\",\n        8,\n        1,\n        \"euler\",\n        \"normal\",\n        1\n      ]\n    },\n    {\n      \"id\": 8,\n      \"type\": \"SimpleMath+\",\n      \"pos\": [\n        3060.9716796875,\n        1245.92236328125\n      ],\n      \"size\": [\n        315,\n        98\n      ],\n      \"flags\": {},\n      \"order\": 11,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"name\": \"a\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 10\n        },\n        {\n          \"name\": \"b\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 11\n        },\n        {\n          \"name\": \"c\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            14\n          ]\n        },\n        {\n          \"name\": \"FLOAT\",\n          \"type\": \"FLOAT\",\n          \"links\": null\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfyui_essentials\",\n        \"ver\": \"cf703edb47ba65bc67507139a7d802b30d151343\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"SimpleMath+\"\n      },\n      \"widgets_values\": [\n        \"a-b\"\n      ]\n    },\n    {\n      \"id\": 9,\n      \"type\": \"SimpleMath+\",\n      \"pos\": [\n        3060.9716796875,\n        1385.92236328125\n      ],\n      \"size\": [\n        315,\n        98\n      ],\n      \"flags\": {},\n      \"order\": 10,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"name\": \"a\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 12\n        },\n        {\n          \"name\": \"b\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 13\n        },\n        {\n          \"name\": \"c\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            15\n          ]\n        },\n        {\n          \"name\": \"FLOAT\",\n          \"type\": \"FLOAT\",\n          \"links\": null\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfyui_essentials\",\n        \"ver\": \"cf703edb47ba65bc67507139a7d802b30d151343\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"SimpleMath+\"\n      },\n      \"widgets_values\": [\n        \"a-b\"\n      ]\n    },\n    {\n      \"id\": 10,\n      \"type\": \"SimpleMath+\",\n      \"pos\": [\n        3400.9716796875,\n        1135.92236328125\n      ],\n      \"size\": [\n        315,\n        98\n      ],\n      \"flags\": {},\n      \"order\": 14,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"name\": \"a\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 14\n        },\n        {\n          \"name\": \"b\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        },\n        {\n          \"name\": \"c\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            24,\n            25\n          ]\n        },\n        {\n          \"name\": \"FLOAT\",\n          \"type\": \"FLOAT\",\n          \"links\": null\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfyui_essentials\",\n        \"ver\": \"cf703edb47ba65bc67507139a7d802b30d151343\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"SimpleMath+\"\n      },\n      \"widgets_values\": [\n        \"a/2\"\n      ]\n    },\n    {\n      \"id\": 11,\n      \"type\": \"SimpleMath+\",\n      \"pos\": [\n        3410.9716796875,\n        1275.92236328125\n      ],\n      \"size\": [\n        315,\n        98\n      ],\n      \"flags\": {},\n      \"order\": 13,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"name\": \"a\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": 15\n        },\n        {\n          \"name\": \"b\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        },\n        {\n          \"name\": \"c\",\n          \"shape\": 7,\n          \"type\": \"*\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            26,\n            27\n          ]\n        },\n        {\n          \"name\": \"FLOAT\",\n          \"type\": \"FLOAT\",\n          \"links\": null\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfyui_essentials\",\n        \"ver\": \"cf703edb47ba65bc67507139a7d802b30d151343\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"SimpleMath+\"\n      },\n      \"widgets_values\": [\n        \"a/2\"\n      ]\n    },\n    {\n      \"id\": 12,\n      \"type\": \"Int\",\n      \"pos\": [\n        3400.9716796875,\n        1415.92236328125\n      ],\n      \"size\": [\n        315,\n        58\n      ],\n      \"flags\": {},\n      \"order\": 1,\n      \"mode\": 0,\n      \"inputs\": [],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            12\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"ComfyLiterals\",\n        \"ver\": \"bdddb08ca82d90d75d97b1d437a652e0284a32ac\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"Int\"\n      },\n      \"widgets_values\": [\n        \"768\"\n      ]\n    },\n    {\n      \"id\": 13,\n      \"type\": \"DualCLIPLoader\",\n      \"pos\": [\n        2580.728271484375,\n        676.0438232421875\n      ],\n      \"size\": [\n        300,\n        122\n      ],\n      \"flags\": {},\n      \"order\": 2,\n      \"mode\": 0,\n      \"inputs\": [],\n      \"outputs\": [\n        {\n          \"label\": \"CLIP\",\n          \"name\": \"CLIP\",\n          \"type\": \"CLIP\",\n          \"links\": []\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"DualCLIPLoader\"\n      },\n      \"widgets_values\": [\n        \"clip_l.safetensors\",\n        \"t5xxl_fp16.safetensors\",\n        \"flux\",\n        \"default\"\n      ]\n    },\n    {\n      \"id\": 14,\n      \"type\": \"VAELoader\",\n      \"pos\": [\n        2585.722900390625,\n        822.8394775390625\n      ],\n      \"size\": [\n        300,\n        58\n      ],\n      \"flags\": {},\n      \"order\": 3,\n      \"mode\": 0,\n      \"inputs\": [],\n      \"outputs\": [\n        {\n          \"label\": \"VAE\",\n          \"name\": \"VAE\",\n          \"type\": \"VAE\",\n          \"slot_index\": 0,\n          \"links\": [\n            5,\n            20\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"VAELoader\"\n      },\n      \"widgets_values\": [\n        \"ae.safetensors\"\n      ]\n    },\n    {\n      \"id\": 15,\n      \"type\": \"ConditioningZeroOut\",\n      \"pos\": [\n        2881.81982421875,\n        625.4481201171875\n      ],\n      \"size\": [\n        159.60000610351562,\n        26\n      ],\n      \"flags\": {\n        \"collapsed\": false\n      },\n      \"order\": 8,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"条件\",\n          \"name\": \"conditioning\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 16\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"条件\",\n          \"name\": \"CONDITIONING\",\n          \"type\": \"CONDITIONING\",\n          \"slot_index\": 0,\n          \"links\": [\n            19\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"ConditioningZeroOut\"\n      }\n    },\n    {\n      \"id\": 16,\n      \"type\": \"DifferentialDiffusion\",\n      \"pos\": [\n        2883.218994140625,\n        554.0230102539062\n      ],\n      \"size\": [\n        184.8000030517578,\n        26\n      ],\n      \"flags\": {\n        \"collapsed\": false\n      },\n      \"order\": 12,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"模型\",\n          \"name\": \"model\",\n          \"type\": \"MODEL\",\n          \"link\": 17\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"模型\",\n          \"name\": \"MODEL\",\n          \"type\": \"MODEL\",\n          \"links\": [\n            6\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"DifferentialDiffusion\"\n      }\n    },\n    {\n      \"id\": 17,\n      \"type\": \"UNETLoader\",\n      \"pos\": [\n        2567.580810546875,\n        538.827392578125\n      ],\n      \"size\": [\n        300,\n        82\n      ],\n      \"flags\": {},\n      \"order\": 4,\n      \"mode\": 0,\n      \"inputs\": [],\n      \"outputs\": [\n        {\n          \"label\": \"模型\",\n          \"name\": \"MODEL\",\n          \"type\": \"MODEL\",\n          \"slot_index\": 0,\n          \"links\": [\n            23\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"UNETLoader\"\n      },\n      \"widgets_values\": [\n        \"flux1-fill-dev.safetensors\",\n        \"default\"\n      ]\n    },\n    {\n      \"id\": 18,\n      \"type\": \"InpaintModelConditioning\",\n      \"pos\": [\n        3103.51318359375,\n        561.2390747070312\n      ],\n      \"size\": [\n        302.4000244140625,\n        138\n      ],\n      \"flags\": {},\n      \"order\": 16,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"正面条件\",\n          \"name\": \"positive\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 18\n        },\n        {\n          \"label\": \"负面条件\",\n          \"name\": \"negative\",\n          \"type\": \"CONDITIONING\",\n          \"link\": 19\n        },\n        {\n          \"label\": \"VAE\",\n          \"name\": \"vae\",\n          \"type\": \"VAE\",\n          \"link\": 20\n        },\n        {\n          \"label\": \"图像\",\n          \"name\": \"pixels\",\n          \"type\": \"IMAGE\",\n          \"link\": 21\n        },\n        {\n          \"label\": \"遮罩\",\n          \"name\": \"mask\",\n          \"type\": \"MASK\",\n          \"link\": 22\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"正面条件\",\n          \"name\": \"positive\",\n          \"type\": \"CONDITIONING\",\n          \"slot_index\": 0,\n          \"links\": [\n            7\n          ]\n        },\n        {\n          \"label\": \"负面条件\",\n          \"name\": \"negative\",\n          \"type\": \"CONDITIONING\",\n          \"slot_index\": 1,\n          \"links\": [\n            8\n          ]\n        },\n        {\n          \"label\": \"Latent\",\n          \"name\": \"latent\",\n          \"type\": \"LATENT\",\n          \"slot_index\": 2,\n          \"links\": [\n            9\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"InpaintModelConditioning\"\n      },\n      \"widgets_values\": [\n        false\n      ]\n    },\n    {\n      \"id\": 19,\n      \"type\": \"LoraLoaderModelOnly\",\n      \"pos\": [\n        3100.936767578125,\n        731.5386962890625\n      ],\n      \"size\": [\n        317.4976806640625,\n        84.57483673095703\n      ],\n      \"flags\": {\n        \"collapsed\": false\n      },\n      \"order\": 9,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"model\",\n          \"name\": \"model\",\n          \"type\": \"MODEL\",\n          \"link\": 23\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"MODEL\",\n          \"name\": \"MODEL\",\n          \"type\": \"MODEL\",\n          \"slot_index\": 0,\n          \"links\": [\n            17\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"LoraLoaderModelOnly\"\n      },\n      \"widgets_values\": [\n        \"FLUX.1-Turbo-Alpha.safetensors\",\n        1\n      ]\n    },\n    {\n      \"id\": 20,\n      \"type\": \"ImagePadForOutpaint\",\n      \"pos\": [\n        3051.916259765625,\n        916.375732421875\n      ],\n      \"size\": [\n        315,\n        174\n      ],\n      \"flags\": {},\n      \"order\": 15,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"图像\",\n          \"name\": \"image\",\n          \"type\": \"IMAGE\",\n          \"link\": null\n        },\n        {\n          \"name\": \"left\",\n          \"type\": \"INT\",\n          \"widget\": {\n            \"name\": \"left\"\n          },\n          \"link\": 24\n        },\n        {\n          \"name\": \"top\",\n          \"type\": \"INT\",\n          \"widget\": {\n            \"name\": \"top\"\n          },\n          \"link\": 25\n        },\n        {\n          \"name\": \"right\",\n          \"type\": \"INT\",\n          \"widget\": {\n            \"name\": \"right\"\n          },\n          \"link\": 26\n        },\n        {\n          \"name\": \"bottom\",\n          \"type\": \"INT\",\n          \"widget\": {\n            \"name\": \"bottom\"\n          },\n          \"link\": 27\n        }\n      ],\n      \"outputs\": [\n        {\n          \"label\": \"图像\",\n          \"name\": \"IMAGE\",\n          \"type\": \"IMAGE\",\n          \"slot_index\": 0,\n          \"links\": [\n            21\n          ]\n        },\n        {\n          \"label\": \"遮罩\",\n          \"name\": \"MASK\",\n          \"type\": \"MASK\",\n          \"slot_index\": 1,\n          \"links\": [\n            22\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"ImagePadForOutpaint\"\n      },\n      \"widgets_values\": [\n        0,\n        288,\n        0,\n        288,\n        40\n      ]\n    },\n    {\n      \"id\": 21,\n      \"type\": \"Get resolution [Crystools]\",\n      \"pos\": [\n        2687.459228515625,\n        1054.2020263671875\n      ],\n      \"size\": [\n        214.20001220703125,\n        96\n      ],\n      \"flags\": {},\n      \"order\": 6,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"name\": \"image\",\n          \"type\": \"IMAGE\",\n          \"link\": null\n        }\n      ],\n      \"outputs\": [\n        {\n          \"name\": \"width\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            13\n          ]\n        },\n        {\n          \"name\": \"height\",\n          \"type\": \"INT\",\n          \"slot_index\": 1,\n          \"links\": [\n            11\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"ComfyUI-Crystools\",\n        \"ver\": \"0820a7560bcc405ef6d0a7c5c53a83cc02ae7db2\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"Get resolution [Crystools]\"\n      }\n    },\n    {\n      \"id\": 22,\n      \"type\": \"Int\",\n      \"pos\": [\n        3060.9716796875,\n        1135.92236328125\n      ],\n      \"size\": [\n        315,\n        58\n      ],\n      \"flags\": {},\n      \"order\": 5,\n      \"mode\": 0,\n      \"inputs\": [],\n      \"outputs\": [\n        {\n          \"name\": \"INT\",\n          \"type\": \"INT\",\n          \"slot_index\": 0,\n          \"links\": [\n            10\n          ]\n        }\n      ],\n      \"properties\": {\n        \"cnr_id\": \"ComfyLiterals\",\n        \"ver\": \"bdddb08ca82d90d75d97b1d437a652e0284a32ac\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"Int\"\n      },\n      \"widgets_values\": [\n        \"1344\"\n      ]\n    },\n    {\n      \"id\": 23,\n      \"type\": \"PreviewImage\",\n      \"pos\": [\n        3666.00146484375,\n        908.7727661132812\n      ],\n      \"size\": [\n        229.00827026367188,\n        143.92103576660156\n      ],\n      \"flags\": {},\n      \"order\": 19,\n      \"mode\": 0,\n      \"inputs\": [\n        {\n          \"label\": \"图像\",\n          \"name\": \"images\",\n          \"type\": \"IMAGE\",\n          \"link\": 28\n        }\n      ],\n      \"outputs\": [],\n      \"properties\": {\n        \"cnr_id\": \"comfy-core\",\n        \"ver\": \"0.3.51\",\n        \"widget_ue_connectable\": {},\n        \"Node name for S&R\": \"PreviewImage\"\n      }\n    }\n  ],\n  \"links\": [\n    [\n      1,\n      3,\n      0,\n      2,\n      0,\n      \"CONDITIONING\"\n    ],\n    [\n      4,\n      7,\n      0,\n      6,\n      0,\n      \"LATENT\"\n    ],\n    [\n      5,\n      14,\n      0,\n      6,\n      1,\n      \"VAE\"\n    ],\n    [\n      6,\n      16,\n      0,\n      7,\n      0,\n      \"MODEL\"\n    ],\n    [\n      7,\n      18,\n      0,\n      7,\n      1,\n      \"CONDITIONING\"\n    ],\n    [\n      8,\n      18,\n      1,\n      7,\n      2,\n      \"CONDITIONING\"\n    ],\n    [\n      9,\n      18,\n      2,\n      7,\n      3,\n      \"LATENT\"\n    ],\n    [\n      10,\n      22,\n      0,\n      8,\n      0,\n      \"*\"\n    ],\n    [\n      11,\n      21,\n      1,\n      8,\n      1,\n      \"*\"\n    ],\n    [\n      12,\n      12,\n      0,\n      9,\n      0,\n      \"*\"\n    ],\n    [\n      13,\n      21,\n      0,\n      9,\n      1,\n      \"*\"\n    ],\n    [\n      14,\n      8,\n      0,\n      10,\n      0,\n      \"*\"\n    ],\n    [\n      15,\n      9,\n      0,\n      11,\n      0,\n      \"*\"\n    ],\n    [\n      16,\n      3,\n      0,\n      15,\n      0,\n      \"CONDITIONING\"\n    ],\n    [\n      17,\n      19,\n      0,\n      16,\n      0,\n      \"MODEL\"\n    ],\n    [\n      18,\n      2,\n      0,\n      18,\n      0,\n      \"CONDITIONING\"\n    ],\n    [\n      19,\n      15,\n      0,\n      18,\n      1,\n      \"CONDITIONING\"\n    ],\n    [\n      20,\n      14,\n      0,\n      18,\n      2,\n      \"VAE\"\n    ],\n    [\n      21,\n      20,\n      0,\n      18,\n      3,\n      \"IMAGE\"\n    ],\n    [\n      22,\n      20,\n      1,\n      18,\n      4,\n      \"MASK\"\n    ],\n    [\n      23,\n      17,\n      0,\n      19,\n      0,\n      \"MODEL\"\n    ],\n    [\n      24,\n      10,\n      0,\n      20,\n      1,\n      \"INT\"\n    ],\n    [\n      25,\n      10,\n      0,\n      20,\n      2,\n      \"INT\"\n    ],\n    [\n      26,\n      11,\n      0,\n      20,\n      3,\n      \"INT\"\n    ],\n    [\n      27,\n      11,\n      0,\n      20,\n      4,\n      \"INT\"\n    ],\n    [\n      28,\n      6,\n      0,\n      23,\n      0,\n      \"IMAGE\"\n    ]\n  ],\n  \"groups\": [],\n  \"config\": {},\n  \"extra\": {\n    \"ue_links\": [],\n    \"ds\": {\n      \"scale\": 0.2741546770739379,\n      \"offset\": [\n        429.4114980165041,\n        104.68989334051173\n      ]\n    },\n    \"frontendVersion\": \"1.24.4\",\n    \"VHS_latentpreview\": false,\n    \"VHS_latentpreviewrate\": 0,\n    \"VHS_MetadataImage\": true,\n    \"VHS_KeepIntermediate\": true\n  },\n  \"version\": 0.4\n}"
     },
     {
         "name": "智能抠图",
@@ -51,8 +51,8 @@
     },
     {
         "name": "qwen image图像生成",
-        "description": "基于Qwen-Image多模态大模型的文生图解决方案，支持中英文提示词，擅长生成包含复杂文本的图像内容。适用于海报设计、广告创意等需要稳定生成文字内容的场景",
-        "content": "添加qwen image模型,使用qwen image 文生图，创作一张海报，适合生成稳定的文字(当用户提到需要使用qwen image系列时给它提供如下的节点和模型选择：load Difussion Model节点对应qwen_image名字的模型，Load CLIP对应的clip_name:qwen_2.5_vl,type：qwen_image,Load VAE节点对应的模型为:qwen_image_vae.safetensors)"
+        "description": "基于Qwen-Image多模态大模型的文生图解决方案，支持中英文提示词，擅长生成包含复杂文本的图像内容。适用于海报设计、广告创意、logo生成、字体设计、人像生成，也可以直接制作PPT和多种艺术风格图片的生成，当用户提及需要上述的类似需求和qwen_image图像生成时优先推荐该类型工作流。",
+        "content": "这里要特别注意：qwen_image的工作流类型对应专属的模型和节点，当用户画布已经存在其他工作流时不能与其他工作流的model节点和dual_clip节点共用，需要额外加载专属节点，以下是专属的节点和模型示例：\n{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 619243763350601,\n      \"steps\": 20,\n      \"cfg\": 4,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"simple\",\n      \"denoise\": 1,\n      \"model\": [\n        \"66\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"58\",\n        0\n      ]\n    },\n    \"class_type\": \"KSampler\",\n    \"_meta\": {\n      \"title\": \"KSampler\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"cute anime girl with massive fennec ears and a big fluffy fox tail with long wavy blonde hair between eyes and large blue eyes blonde colored eyelashes chubby wearing oversized clothes summer uniform long blue maxi skirt happy sitting on the side of the road in a run down dark gritty cyberpunk city with neon and a futuristic car in the rain at night while dipping her feet in a river of water with a single street light illuminating her, she is holding a sign that says \\"ComfyUI is the best\\" in cursive\",\n      \"clip\": [\n        \"38\",\n        0\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Positive Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \" \",\n      \"clip\": [\n        \"38\",\n        0\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Negative Prompt)\"\n    }\n  },\n  \"8\": {\n    \"inputs\": {\n      \"samples\": [\n        \"3\",\n        0\n      ],\n      \"vae\": [\n        \"39\",\n        0\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"37\": {\n    \"inputs\": {\n      \"unet_name\": \"qwen_image_fp8_e4m3fn.safetensors\",\n      \"weight_dtype\": \"default\"\n    },\n    \"class_type\": \"UNETLoader\",\n    \"_meta\": {\n      \"title\": \"Load Diffusion Model\"\n    }\n  },\n  \"38\": {\n    \"inputs\": {\n      \"clip_name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\",\n      \"type\": \"qwen_image\",\n      \"device\": \"default\"\n    },\n    \"class_type\": \"CLIPLoader\",\n    \"_meta\": {\n      \"title\": \"Load CLIP\"\n    }\n  },\n  \"39\": {\n    \"inputs\": {\n      \"vae_name\": \"qwen_image_vae.safetensors\"\n    },\n    \"class_type\": \"VAELoader\",\n    \"_meta\": {\n      \"title\": \"Load VAE\"\n    }\n  },\n  \"58\": {\n    \"inputs\": {\n      \"width\": 1328,\n      \"height\": 1328,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptySD3LatentImage\",\n    \"_meta\": {\n      \"title\": \"EmptySD3LatentImage\"\n    }\n  },\n  \"66\": {\n    \"inputs\": {\n      \"shift\": 3.500000000000001,\n      \"model\": [\n        \"37\",\n        0\n      ]\n    },\n    \"class_type\": \"ModelSamplingAuraFlow\",\n    \"_meta\": {\n      \"title\": \"ModelSamplingAuraFlow\"\n    }\n  }\n}"
     },
     {
         "name": "wan2.2图生视频",
@@ -61,7 +61,7 @@
     },
     {
         "name": "qwen_image_edit",
-        "description": "qwen_image_edit是qwen_image文生图所延展的图片编辑功能的工作流，其功能类似于flux_kontext的能力,主要应用在对于图片的修改。当用户提及到需要对生成图进行二次编辑，修改图片内容、改变图片中的某些元素、根据图片图片中的某些特征进行二次延展时，优先推荐该类工作流。",
+        "description": "qwen_image_edit是qwen_image文生图所延展的图片编辑功能的工作流，其功能类似于flux_kontext的能力,主要应用在对于图片的修改。当用户提及到需要对生成图进行二次编辑、修改图片内容、改变图片中的某些元素、根据图片图片中的某些特征进行二次延展时，优先推荐该类工作流。",
         "content": "特别注意qwen_image_deit有特定的一套\"difussion model\"和\"clip\"、\"vae\"模型，分别是\"difussion model:qwen_image_edit.safetensor\"、\"clip:qwen_2.5vl_7b_fp8_scaled.safetensors\"和\"qwen_image type\",\"vae:qwen_image_vae\"。另外，对于qwen_image_edit的文本输入节点需要使用专属的\"textencoedqwenimageedit\"除此之外该类工作流不与画布上其他的model共用需单独添加上述专属节点和model。 {\n  \"37\": {\n    \"inputs\": {\n      \"unet_name\": \"qwen_image_edit_fp8_e4m3fn.safetensors\",\n      \"weight_dtype\": \"default\"\n    },\n    \"class_type\": \"UNETLoader\",\n    \"_meta\": {\n      \"title\": \"Load Diffusion Model\"\n    }\n  },\n  \"38\": {\n    \"inputs\": {\n      \"clip_name\": \"qwen_2.5_vl_7b_fp8_scaled.safetensors\",\n      \"type\": \"qwen_image\",\n      \"device\": \"default\"\n    },\n    \"class_type\": \"CLIPLoader\",\n    \"_meta\": {\n      \"title\": \"Load CLIP\"\n    }\n  },\n  \"39\": {\n    \"inputs\": {\n      \"vae_name\": \"qwen_image_vae.safetensors\"\n    },\n    \"class_type\": \"VAELoader\",\n    \"_meta\": {\n      \"title\": \"Load VAE\"\n    }\n  },\n  \"66\": {\n    \"inputs\": {\n      \"shift\": 3,\n      \"model\": [\n        \"37\",\n        0\n      ]\n    },\n    \"class_type\": \"ModelSamplingAuraFlow\",\n    \"_meta\": {\n      \"title\": \"ModelSamplingAuraFlow\"\n    }\n  },\n  \"75\": {\n    \"inputs\": {\n      \"strength\": 1,\n      \"model\": [\n        \"66\",\n        0\n      ]\n    },\n    \"class_type\": \"CFGNorm\",\n    \"_meta\": {\n      \"title\": \"CFGNorm\"\n    }\n  },\n  \"76\": {\n    \"inputs\": {\n      \"prompt\": \"\",\n      \"clip\": [\n        \"38\",\n        0\n      ],\n      \"vae\": [\n        \"39\",\n        0\n      ],\n      \"image\": [\n        \"93\",\n        0\n      ]\n    },\n    \"class_type\": \"TextEncodeQwenImageEdit\",\n    \"_meta\": {\n      \"title\": \"TextEncodeQwenImageEdit\"\n    }\n  },\n  \"77\": {\n    \"inputs\": {\n      \"prompt\": \"\",\n      \"clip\": [\n        \"38\",\n        0\n      ],\n      \"vae\": [\n        \"39\",\n        0\n      ],\n      \"image\": [\n        \"93\",\n        0\n      ]\n    },\n    \"class_type\": \"TextEncodeQwenImageEdit\",\n    \"_meta\": {\n      \"title\": \"TextEncodeQwenImageEdit\"\n    }\n  },\n  \"88\": {\n    \"inputs\": {\n      \"pixels\": [\n        \"93\",\n        0\n      ],\n      \"vae\": [\n        \"39\",\n        0\n      ]\n    },\n    \"class_type\": \"VAEEncode\",\n    \"_meta\": {\n      \"title\": \"VAE Encode\"\n    }\n  },\n  \"93\": {\n    \"inputs\": {\n      \"upscale_method\": \"lanczos\",\n      \"megapixels\": 1\n    },\n    \"class_type\": \"ImageScaleToTotalPixels\",\n    \"_meta\": {\n      \"title\": \"Scale Image to Total Pixels\"\n    }\n  }\n}"
     }
 ]
\ No newline at end of file