muel-run-demo-n8n-workflow.json

{
  "name": "generate-1-7-figure-with-nano-banana",
  "nodes": [
    {
      "parameters": {
        "content": "## Prompt\nCreate a 1/7 scale commercialized figurine of the characters in the picture, in a realistic style, in a real environment. The figurine is placed on a computer desk. The figurine has a round transparent acrylic base, with no text on the base. The content on the computer screen is the Zbrush modeling process of this figurine.Next to the computer screen is a packaging box with rounded corner design and a transparent front window, the figure inside is clearly visible.",
        "height": 368,
        "width": 304
      },
      "id": "8579984a-dcb8-449c-aef8-3082e2ae6b46",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -960,
        720
      ],
      "typeVersion": 1
    },
    {
      "parameters": {
        "formTitle": "Upload Image",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Image",
              "fieldType": "file",
              "multipleFiles": false,
              "acceptFileTypes": "image/*",
              "requiredField": true
            }
          ]
        },
        "options": {}
      },
      "id": "b5984534-834f-44bf-ae22-456a213c462e",
      "name": "上传图片",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -592,
        832
      ],
      "webhookId": "254a1336-57d2-4ba0-93e1-e8460fc94f00",
      "typeVersion": 2.3
    },
    {
      "parameters": {
        "jsCode": "/**\n * Encodes multiple binary files from an n8n input item into Base64 strings.\n *\n * This code assumes it is running in an n8n \"Code\" or \"Function\" node\n * where 'this' refers to the node's context and 'helpers' are available.\n *\n * @returns {object} An object containing an array of file objects,\n * each with a 'path' and 'data' (Base64 string).\n */\nconst results = {};\n\nconst bin = $input.first().binary['Image'];\n\n// Use n8n's helper function to get the file buffer.\nconst binBuffer = await this.helpers.getBinaryDataBuffer(0, 'Image');\n\n// Push a new object to the results array.\nresults.img_url = `data:${bin.mimeType};base64,${Buffer.from(binBuffer).toString('base64')}`\nresults.api_key = $input.first().json['API Key']\nresults.prompt = $input.first().json['Prompt']\n\n// Return the final object in the expected format for the next node.\nreturn results;\n"
      },
      "id": "414c9ad8-d83b-40a5-b492-da94dff5fd4e",
      "name": "转换为JSON",
      "type": "n8n-nodes-base.code",
      "position": [
        -336,
        832
      ],
      "typeVersion": 2
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            },
            {
              "name": "Authorization",
              "value": "=Bearer 你的APIKEY"
            }
          ]
        },
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"model\": \"google/gemini-2.5-flash-image-preview\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\":\"Create a 1/7 scale commercialized figurine of the characters in the picture, in a realistic style, in a real environment. The figurine is placed on a computer desk. The figurine has a round transparent acrylic base, with no text on the base. The content on the computer screen is the Zbrush modeling process of this figurine.Next to the computer screen is a packaging box with rounded corner design and a transparent front window, the figure inside is clearly visible.\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"{{ $json.img_url }}\"          \n          }\n        }\n      ]\n    }\n  ]\n}",
        "options": {}
      },
      "id": "da929fc2-620c-4ffd-8d77-a6c29ead257d",
      "name": "请求 Openrouter",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -48,
        832
      ],
      "typeVersion": 4.2
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "fa5f375f-cddc-4f7b-a018-67c28015d18b",
              "name": "image_url",
              "type": "string",
              "value": "={{$json.choices[0].message.images[0].image_url.url}}"
            }
          ]
        },
        "options": {}
      },
      "id": "d317e59e-46b5-4a07-9bde-aacb09e80119",
      "name": "格式化输出并展示图片",
      "type": "n8n-nodes-base.set",
      "position": [
        208,
        832
      ],
      "typeVersion": 3.4
    }
  ],
  "pinData": {},
  "connections": {
    "上传图片": {
      "main": [
        [
          {
            "node": "转换为JSON",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "转换为JSON": {
      "main": [
        [
          {
            "node": "请求 Openrouter",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "请求 Openrouter": {
      "main": [
        [
          {
            "node": "格式化输出并展示图片",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "57d2524a-395a-46a9-9341-f74a8c5f453e",
  "meta": {
    "instanceId": "f24b6849a974bb63de727996fcf6bc82672ecd552ca03e0ba09e91f9759593c6"
  },
  "id": "8RjbaSVh7FTahger",
  "tags": []
}