AI Content Post Generation with Gemini & OpenAI

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "name": "AI Content Post Generation",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "generate-posts",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "webhook-postgen",
      "name": "Webhook (Post Generation)",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        240,
        300
      ]
    },
    {
      "parameters": {
        "values": {
          "string": [
            {
              "name": "summary",
              "value": "={{ $node[\\\"Webhook (Post Generation)\\\"].json[\\\"summary\\\"] }}"
            },
            {
              "name": "platforms",
              "value": "={{ $node[\\\"Webhook (Post Generation)\\\"].json[\\\"platforms\\\"] }}"
            },
            {
              "name": "style",
              "value": "={{ $node[\\\"Webhook (Post Generation)\\\"].json[\\\"user_style\\\"] || \\\"professional\\\" }}"
            },
            {
              "name": "focus",
              "value": "={{ $node[\\\"Webhook (Post Generation)\\\"].json[\\\"user_focus\\\"] || \\\"general\\\" }}"
            },
            {
              "name": "brand",
              "value": "={{ $node[\\\"Webhook (Post Generation)\\\"].json[\\\"brand_info\\\"] }}"
            }
          ]
        },
        "options": {}
      },
      "id": "set-input-data",
      "name": "Set Input Data",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.2,
      "position": [
        480,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "// Loop through platforms and create content for each\\nconst platforms = $node[\\\"Set Input Data\\\"].json[\\\"platforms\\\"];\\nconst summary = $node[\\\"Set Input Data\\\"].json[\\\"summary\\\"];\\nconst style = $node[\\\"Set Input Data\\\"].json[\\\"style\\\"];\\nconst focus = $node[\\\"Set Input Data\\\"].json[\\\"focus\\\"];\\nconst brand = $node[\\\"Set Input Data\\\"].json[\\\"brand\\\"];\\n\\nconst results = [];\\n\\nfor (const platform of platforms) {\\n  results.push({\\n    json: {\\n      platform: platform,\\n      summary: summary,\\n      style: style,\\n      focus: focus,\\n      brand: brand\\n    }\\n  });\\n}\\n\\nreturn results;"
      },
      "id": "split-platforms",
      "name": "Split Platforms",
      "type": "n8n-nodes-base.code",
      "typeVersion": 3,
      "position": [
        720,
        300
      ]
    },
    {
      "parameters": {
        "model": "gemini-1.5-flash",
        "messages": [
          {
            "role": "user",
            "content": "Generate a social media post for {{$node[\\\"Split Platforms\\\"].json[\\\"platform\\\"]}} based on this summary: {{$node[\\\"Split Platforms\\\"].json[\\\"summary\\\"]}}\\n\\nStyle: {{$node[\\\"Split Platforms\\\"].json[\\\"style\\\"]}}\\nFocus: {{$node[\\\"Split Platforms\\\"].json[\\\"focus\\\"]}}\\n{{#if $node[\\\"Split Platforms\\\"].json[\\\"brand\\\"]}}Brand: {{$node[\\\"Split Platforms\\\"].json[\\\"brand\\\"]}}\\n{{/if}}\\n\\nMake it engaging and appropriate for the platform. Return just the post content."
          }
        ],
        "options": {}
      },
      "id": "gemini-post-text",
      "name": "Gemini (Post Text)",
      "type": "n8n-nodes-base.googleGeminiChatModel",
      "typeVersion": 1,
      "position": [
        960,
        300
      ],
      "credentials": {
        "googleGeminiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": "gemini-1.5-flash",
        "messages": [
          {
            "role": "user",
            "content": "Generate an image description for {{$node[\\\"Gemini (Post Text)\\\"].json[\\\"platform\\\"]}} social media post. \\n\\nPost Content: {{$node[\\\"Gemini (Post Text)\\\"].json[\\\"messages\\\"][0][\\\"content\\\"]}}\\n\\nSummary: {{$node[\\\"Gemini (Post Text)\\\"].json[\\\"summary\\\"]}}\\n\\nCreate a detailed prompt for DALL-E or similar AI image generator. Make it visually appealing and relevant to the post content."
          }
        ],
        "options": {}
      },
      "id": "gemini-image-prompt",
      "name": "Gemini (Image Prompt)",
      "type": "n8n-nodes-base.googleGeminiChatModel",
      "typeVersion": 1,
      "position": [
        1200,
        300
      ],
      "credentials": {
        "googleGeminiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "image",
        "operation": "generate",
        "size": "1024x1024",
        "model": "dall-e-3",
        "prompt": "={{ $node[\\\"Gemini (Image Prompt)\\\"].json[\\\"messages\\\"][0][\\\"content\\\"] }}",
        "options": {}
      },
      "id": "openai-image-gen",
      "name": "OpenAI Image Generation",
      "type": "n8n-nodes-base.openAi",
      "typeVersion": 1,
      "position": [
        1440,
        300
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "values": {
          "string": [
            {
              "name": "post_text",
              "value": "={{ $node[\\\"Gemini (Post Text)\\\"].json[\\\"messages\\\"][0][\\\"content\\\"] }}"
            },
            {
              "name": "image_prompt",
              "value": "={{ $node[\\\"Gemini (Image Prompt)\\\"].json[\\\"messages\\\"][0][\\\"content\\\"] }}"
            },
            {
              "name": "image_url",
              "value": "={{ $node[\\\"OpenAI Image Generation\\\"].json[\\\"data\\\"][0][\\\"url\\\"] }}"
            },
            {
              "name": "platform",
              "value": "={{ $node[\\\"Gemini (Post Text)\\\"].json[\\\"platform\\\"] }}"
            }
          ]
        },
        "options": {
          "dotNotation": false
        }
      },
      "id": "format-platform-content",
      "name": "Format Platform Content",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.2,
      "position": [
        1680,
        300
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ $node[\\\"Format Platform Content\\\"].json }}"
      },
      "id": "respond-with-posts",
      "name": "Respond with Posts",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1,
      "position": [
        1920,
        300
      ]
    }
  ],
  "connections": {
    "Webhook (Post Generation)": {
      "main": [
        [
          {
            "node": "Set Input Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Input Data": {
      "main": [
        [
          {
            "node": "Split Platforms",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Platforms": {
      "main": [
        [
          {
            "node": "Gemini (Post Text)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini (Post Text)": {
      "main": [
        [
          {
            "node": "Gemini (Image Prompt)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini (Image Prompt)": {
      "main": [
        [
          {
            "node": "OpenAI Image Generation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Image Generation": {
      "main": [
        [
          {
            "node": "Format Platform Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format Platform Content": {
      "main": [
        [
          {
            "node": "Respond with Posts",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {},
  "staticData": null
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googleGeminiApi
• openAiApi

About this workflow

AI Content Post Generation. Uses googleGeminiChatModel, openAi. Webhook trigger; 8 nodes.

Source: https://github.com/GaneshICOGZ/post-automation/blob/3f72fd08f7c408ae0f312f40116c7c0b645d44fa/n8n/postgen_workflow.json — original creator credit. Request a take-down →

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