Formatlab - Analyze Image

The workflow JSON

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{
  "name": "FormatLab - Analyze Image",
  "nodes": [
    {
      "parameters": {
        "path": "analyze",
        "responseMode": "responseNode",
        "responseData": "noData",
        "options": {}
      },
      "id": "webhook_trigger",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        250,
        300
      ]
    },
    {
      "parameters": {
        "functionCode": "// Analyze uploaded image\nconst imageUrl = $input.first().json.image_url;\nconst fileName = $input.first().json.file_name;\n\nreturn {\n  upload_id: require('crypto').randomUUID(),\n  file_path: imageUrl,\n  file_name: fileName,\n  file_size: $input.first().json.file_size || 0,\n  timestamp: new Date().toISOString()\n};"
      },
      "id": "process_upload",
      "name": "Process Upload",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        450,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.bria.ai/fibo/analyze",
        "authentication": "genericCredentialType",
        "genericCredentials": {
          "authenticationType": "headerAuth",
          "genericAuth": {
            "httpHeaderAuth_header": "Authorization",
            "httpHeaderAuth_credentials": "Bearer <%= $vars.FIBO_API_KEY %>"
          }
        },
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "api_token",
              "value": "{{ $vars.FIBO_API_KEY }}"
            }
          ]
        },
        "contentType": "application/json",
        "body": "{\n  \"image_url\": \"{{ $node.process_upload.json.file_path }}\",\n  \"analyze_elements\": true,\n  \"analyze_lighting\": true,\n  \"analyze_composition\": true\n}",
        "options": {}
      },
      "id": "call_fibo_analyze",
      "name": "Call FIBO Analyze API",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.1,
      "position": [
        650,
        300
      ]
    },
    {
      "parameters": {
        "functionCode": "// Transform FIBO response to SceneGraph JSON\nconst fiboResult = $input.first().json;\n\nconst sceneGraph = {\n  version: \"1.0\",\n  id: `scene_${Date.now()}`,\n  timestamp: new Date().toISOString(),\n  source_image: $node.process_upload.json.file_path,\n  upload_id: $node.process_upload.json.upload_id,\n  \n  subject: {\n    description: fiboResult.description || \"Professional scene\",\n    style: fiboResult.style || \"photorealistic\",\n    position: { x: 0, y: 0, z: 0 }\n  },\n  \n  camera: {\n    lens_mm: fiboResult.camera?.lens_mm || 50,\n    fov: fiboResult.camera?.fov || 48,\n    angle: 0,\n    tilt: 0,\n    depth_of_field: 0.5\n  },\n  \n  lighting: {\n    key: {\n      angle: fiboResult.lighting?.key?.angle || 45,\n      intensity: fiboResult.lighting?.key?.intensity || 0.85,\n      color: fiboResult.lighting?.key?.color || \"#FFFFFF\",\n      temperature: fiboResult.lighting?.key?.temperature || 5500\n    },\n    fill: {\n      intensity: fiboResult.lighting?.fill?.intensity || 0.35,\n      angle: 315\n    },\n    rim: {\n      intensity: fiboResult.lighting?.rim?.intensity || 0.4,\n      color: fiboResult.lighting?.rim?.color || \"#FFFFFF\"\n    },\n    ambient: fiboResult.lighting?.ambient || 0.25\n  },\n  \n  color: {\n    palette: fiboResult.color?.palette || [\"#1a1a1a\", \"#4a9eff\", \"#ffffff\"],\n    temperature: 50,\n    saturation: 0.75,\n    contrast: 0.65,\n    vibrance: 0.5\n  },\n  \n  constraints: {\n    lock_subject_identity: true,\n    lock_composition: false,\n    lock_palette: false,\n    negative_constraints: [\"blurry\", \"distorted\"]\n  },\n  \n  metadata: {\n    analysis_mode: \"fibo\",\n    analyzed_at: new Date().toISOString()\n  }\n};\n\nreturn {\n  upload_id: $node.process_upload.json.upload_id,\n  file_path: $node.process_upload.json.file_path,\n  scene_graph: sceneGraph,\n  analysis_complete: true\n};"
      },
      "id": "transform_to_scene",
      "name": "Transform to SceneGraph",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        850,
        300
      ]
    },
    {
      "parameters": {
        "respondWithData": true
      },
      "id": "respond_analyze",
      "name": "Respond",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1,
      "position": [
        1050,
        300
      ]
    }
  ],
  "connections": {
    "webhook_trigger": {
      "main": [
        [
          {
            "node": "process_upload",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "process_upload": {
      "main": [
        [
          {
            "node": "call_fibo_analyze",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "call_fibo_analyze": {
      "main": [
        [
          {
            "node": "transform_to_scene",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "transform_to_scene": {
      "main": [
        [
          {
            "node": "respond_analyze",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "saveManualExecutions": true,
    "executionOrder": "v1"
  }
}

About this workflow

FormatLab - Analyze Image. Uses httpRequest. Webhook trigger; 5 nodes.

Source: https://github.com/rkabota/formatlab-studio/blob/6f0c6e1322a5d7c1a0ff857bc9ca4b0c839b6834/n8n-workflows/analyze-workflow.json — original creator credit. Request a take-down →

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