flux-workflow-replacement.json

{
  "name": "flux",
  "nodes": [
    {
      "parameters": {
        "path": "flux",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "b851267c-ad34-49a2-b42c-a63d8bf55265",
      "name": "GET请求",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        -60,
        480
      ],
      "webhookId": "a5a9106f-2389-4b29-8423-8c0d94717ed2"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.siliconflow.cn/v1/chat/completions",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpBearerAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"model\": \"Qwen/Qwen2.5-7B-Instruct\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a professional AI image generation prompt optimizer. Please convert the user's simple description into a detailed, professional FLUX image generation prompt. Requirements: 1. Keep the original meaning unchanged 2. Add artistic style, lighting effects, composition details 3. Output in English 4. The prompt should be specific and expressive 5. Control the length between 100-200 words\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Please optimize this image description: {{ $('GET请求').item.json.query.prompt }}\"\n    }\n  ],\n  \"max_tokens\": 300,\n  \"temperature\": 0.7\n}",
        "options": {}
      },
      "id": "prompt-enhancer",
      "name": "提示词优化",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        100,
        480
      ],
      "typeVersion": 4.2,
      "credentials": {
        "httpBearerAuth": {
          "id": "eIOKreIsFPd1CJQy",
          "name": "Bearer Auth account"
        }
      },
      "onError": "continueErrorOutput"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "06e13542-cb9a-4a81-823e-07c913ba79f9",
              "leftValue": "={{ $('GET请求').item.json.query.seed }}",
              "rightValue": "",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        300,
        480
      ],
      "id": "382d2192-26db-4a13-9f35-6ff21c9d7ea8",
      "name": "Seed值有无"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.siliconflow.cn/v1/images/generations",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpBearerAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"prompt_enhancement\": false,\n  \"prompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\",\n  \"image_size\": \"{{ $ifEmpty($('GET请求').item.json.query.width,1024) }}x{{ $ifEmpty($('GET请求').item.json.query.height,1024) }}\",\n  \"model\": \"black-forest-labs/FLUX.1-dev\",\n  \"seed\": {{ $('GET请求').item.json.query.seed }}\n}",
        "options": {}
      },
      "id": "76de81c8-f5a9-4f61-9321-f91a63c1ed21",
      "name": "调用 硅基流动 推理 API",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        500,
        380
      ],
      "notesInFlow": true,
      "typeVersion": 4.2,
      "retryOnFail": false,
      "credentials": {
        "httpBearerAuth": {
          "id": "eIOKreIsFPd1CJQy",
          "name": "Bearer Auth account"
        }
      },
      "onError": "continueErrorOutput",
      "notes": "使用优化后的提示词"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.siliconflow.cn/v1/images/generations",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpBearerAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"prompt_enhancement\": false,\n  \"prompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\",\n  \"image_size\": \"{{ $ifEmpty($('GET请求').item.json.query.width,1024) }}x{{ $ifEmpty($('GET请求').item.json.query.height,1024) }}\",\n  \"model\": \"black-forest-labs/FLUX.1-dev\"\n}",
        "options": {}
      },
      "id": "b5684a8e-46fb-4687-9445-ebbf6fdfc978",
      "name": "调用 硅基流动 推理 API1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        500,
        580
      ],
      "notesInFlow": true,
      "typeVersion": 4.2,
      "retryOnFail": false,
      "credentials": {
        "httpBearerAuth": {
          "id": "eIOKreIsFPd1CJQy",
          "name": "Bearer Auth account"
        }
      },
      "onError": "continueErrorOutput",
      "notes": "使用优化后的提示词"
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": true,\n  \"originalPrompt\": \"{{ $('GET请求').item.json.query.prompt }}\",\n  \"enhancedPrompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\",\n  \"imageUrl\": \"{{ $json.images[0].url }}\",\n  \"parameters\": {\n    \"width\": {{ $ifEmpty($('GET请求').item.json.query.width,1024) }},\n    \"height\": {{ $ifEmpty($('GET请求').item.json.query.height,1024) }},\n    \"seed\": {{ $ifEmpty($('GET请求').item.json.query.seed,'null') }},\n    \"model\": \"black-forest-labs/FLUX.1-dev\"\n  }\n}",
        "options": {}
      },
      "id": "2ddb9610-15a2-4391-9dbf-22145bfbee25",
      "name": "成功响应",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        700,
        380
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": true,\n  \"originalPrompt\": \"{{ $('GET请求').item.json.query.prompt }}\",\n  \"enhancedPrompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\",\n  \"imageUrl\": \"{{ $json.images[0].url }}\",\n  \"parameters\": {\n    \"width\": {{ $ifEmpty($('GET请求').item.json.query.width,1024) }},\n    \"height\": {{ $ifEmpty($('GET请求').item.json.query.height,1024) }},\n    \"seed\": null,\n    \"model\": \"black-forest-labs/FLUX.1-dev\"\n  }\n}",
        "options": {}
      },
      "id": "10f661a3-dc44-4d7a-9feb-da921ca207c2",
      "name": "成功响应1",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        700,
        580
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": false,\n  \"error\": \"提示词优化失败：{{ $json.error.message || '未知错误' }}\",\n  \"step\": \"prompt_enhancement\"\n}",
        "options": {}
      },
      "id": "prompt-error",
      "name": "提示词优化错误",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        300,
        600
      ],
      "typeVersion": 1.1
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": false,\n  \"error\": \"硅基流动调用失败：{{ $json.error.message || '未知错误' }}\",\n  \"step\": \"image_generation\",\n  \"enhancedPrompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\"\n}",
        "options": {}
      },
      "id": "60feb16f-d4f6-40fc-96ab-ce36bef6109b",
      "name": "回复错误1",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        700,
        280
      ],
      "typeVersion": 1.1
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"success\": false,\n  \"error\": \"硅基流动调用失败：{{ $json.error.message || '未知错误' }}\",\n  \"step\": \"image_generation\",\n  \"enhancedPrompt\": \"{{ $('提示词优化').item.json.choices[0].message.content }}\"\n}",
        "options": {}
      },
      "id": "b4da27a4-4e4b-407b-8190-f961a7025f10",
      "name": "回复错误",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        700,
        680
      ],
      "typeVersion": 1.1
    },
    {
      "parameters": {
        "content": "## 增强版 FLUX 图像生成工作流\n\n新增功能：\n1. 智能提示词优化 - 使用 Qwen2.5-7B 模型\n2. JSON 响应格式 - 便于前端集成\n3. 完整错误处理 - 分步骤错误信息\n4. 优化后提示词返回 - 用户可查看优化结果\n\n配合前端网页使用，提供完整的图像生成体验。",
        "height": 160,
        "width": 400
      },
      "id": "bbc5bcfa-5803-4cb7-b9d1-ae63cb288f19",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -60,
        200
      ]
    }
  ],
  "pinData": {},
  "connections": {
    "GET请求": {
      "main": [
        [
          {
            "node": "提示词优化",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "提示词优化": {
      "main": [
        [
          {
            "node": "Seed值有无",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "提示词优化错误",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Seed值有无": {
      "main": [
        [
          {
            "node": "调用 硅基流动 推理 API",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "调用 硅基流动 推理 API1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "调用 硅基流动 推理 API": {
      "main": [
        [
          {
            "node": "成功响应",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "回复错误1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "调用 硅基流动 推理 API1": {
      "main": [
        [
          {
            "node": "成功响应1",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "回复错误",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "756f2410-34bf-4004-bdfa-6c58f7e5c85e",
  "meta": {
    "instanceId": "e11d00c2718992a58214a52e1f2f24c680abf6d1e56d9580c9a7fb8d725c63d8"
  },
  "id": "psYBQPv4NpIaPNlE",
  "tags": []
}