Multi_Ad_Image

• •Informations d'identification Google Drive API
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Informations d'identification Google Sheets API
• •Clé API OpenAI

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  "name": "Multi_Ad_Image",
  "tags": [],
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      "name": "Lors du clic sur 'Exécuter le workflow'",
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      "typeVersion": 4.7
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    {
      "id": "e982d7e4-dced-4897-85cf-708e09d5bc4e",
      "name": "Analyser l'image",
      "type": "@n8n/n8n-nodes-langchain.openAi",
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        "text": "=You are an AI system specialized in **image analysis for advertising**. \nYour task is to carefully analyze the given product image and generate \nstructured insights that will later be used to create high-quality \nadvertising prompts.\n\n### Instructions:\n1. **Identify Product**  \n   - Type of product (e.g., sneakers, skincare, electronics).  \n   - Key visible features (color, shape, size, packaging).  \n   - Materials or textures that can be inferred.  \n\n2. **Branding & Style**  \n   - Any visible logos, brand elements, or design patterns.  \n   - Style impression (luxury, casual, eco-friendly, tech-oriented).  \n\n3. **Target Audience Guess**  \n   - Suggest who the product might appeal to (young adults, parents, professionals, etc.).  \n\n4. **Ad Creative Angles (3–5 ideas)**  \n   - Marketing hooks inspired by the image.  \n   - Focus on visual storytelling (e.g., “minimalist lifestyle shot”, “dynamic sports action scene”).  \n\n5. **Output Format (JSON)**  \n   ```json\n   {\n     \"product_type\": \"...\",\n     \"features\": [\"...\", \"...\"],\n     \"style\": \"...\",\n     \"target_audience\": \"...\",\n     \"ad_angles\": [\n       \"Ad idea 1\",\n       \"Ad idea 2\",\n       \"Ad idea 3\",\n       \"Ad idea 4\",\n       \"Ad idea 5\"\n     ]\n   }\n",
        "modelId": {
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          "value": "gpt-4o-mini",
          "cachedResultName": "GPT-4O-MINI"
        },
        "options": {},
        "resource": "image",
        "inputType": "base64",
        "operation": "analyze"
      },
      "credentials": {
        "openAiApi": {
          "id": "28LXl50ZdQjnkMJs",
          "name": "OpenAi account"
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      "typeVersion": 1.8
    },
    {
      "id": "dcb3134c-a3aa-4384-9f37-e59ea93472f7",
      "name": "Télécharger le fichier",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        640,
        176
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "url",
          "value": "={{ $json.product_image_url }}"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "QVrgALkld7whKIgB",
          "name": "Google Drive account - Peakwave"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "c87947e9-97eb-4758-b18c-bf14cc232573",
      "name": "Agent IA",
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        "text": "=You will receive a real product image and its short description. \nAnalyze them and generate exactly {{ $('Get row(s) in sheet').item.json.num_variations }} distinct, production-ready advertising image prompts.\nIf a campaign is provided, weave its seasonal or promotional context into the prompts naturally. \nIf campaign is empty or \"none\", ignore it.\n\n=== INPUTS ===\n- Product Image URL: {{ $('Get row(s) in sheet').item.json.product_image_url }}\n- Product Name: {{ $('Get row(s) in sheet').item.json.product_name }}\n- Product Description: \"{{ $('Get row(s) in sheet').item.json.product_description }}\"\n- Campaign (optional): {{ $('Get row(s) in sheet').item.json.campaign }}                      // e.g., \"8.8\", \"10.10\", \"Songkran\", \"Halloween\", \"none\"\n- Target Model: {{ $('Get row(s) in sheet').item.json.model_target }}                    // e.g., \"SDXL\", \"Midjourney\", \"Flux\", \"Veo\"\n- Aspect Ratio:  {{ $('Get row(s) in sheet').item.json.aspect_ratio }}                     // e.g., \"1:1\", \"4:5\", \"16:9\"\n- Number of Variations (N): {{ $('Get row(s) in sheet').item.json.num_variations }}\n- Brand Guidelines (optional): {{ $('Get row(s) in sheet').item.json.brand_notes }}           // e.g., brand palette hex codes, keep logo visible, avoid surreal\n- Creative Constraints (optional): {{ $('Get row(s) in sheet').item.json.constraints }}       // e.g., \"no people\", \"no surreal\", \"text-safe negative space\"\n\n=== TASK ===\n1) Treat the product image as ground truth; keep product identity accurate (color, form, logo).\n2) Generate {{ $('Get row(s) in sheet').item.json.num_variations }} visually distinct prompts that are advertising-ready and usable by {{ $('Get row(s) in sheet').item.json.model_target }}.\n3) Vary at least one of: scene/environment, style, lighting, camera, background, composition, color mood, post-process.\n4) If \"campaign\" is provided (not empty/none), incorporate tasteful thematic elements: \n   - Halloween → spooky mood, pumpkins, warm/orange accents, moody lighting\n   - Songkran → water splashes, summer vibe, bright daylight, outdoor festivity\n   - 8.8 / 10.10 / 11.11 → energetic sale vibe, dynamic composition, bold accents\n   - Christmas → warm lights, pine elements, cozy red/green palette\n   Keep it subtle and brand-safe; do not add new logos or misleading claims.\n5) Follow strictly the JSON schema in the **system prompt** (no extra text).\n6) If any subfield cannot be inferred safely, leave it as an empty string \"\".\n7) Ensure each \"prompt\" is **one line** and does not break JSON.\n\n=== REMINDERS ===\n- Avoid vague adjectives. Be concrete and visual.\n- Composition tips: centered hero, rule-of-thirds lifestyle, top-down flat-lay, negative space for copy.\n- Lighting tips: softbox/rim for packshots, natural daylight for lifestyle, golden hour for warmth.\n- Camera tips: 35mm/50mm for natural look, 85mm for product portrait with shallow DoF, macro for texture.\n- Color mood: align gently with any campaign; otherwise, use clean brand-safe palettes.\n\n=== RETURN FORMAT ===\n- Return a **single JSON object** only, matching the schema in the system prompt.\n",
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          "systemMessage": "=You are an **Advertising Image Prompt Designer**.\n\nInputs you may receive:\n- product_image_url (image of the real product; treat as ground truth)\n- product_name\n- product_description\n- campaign (optional; e.g., \"8.8\", \"10.10\", \"Songkran\", \"Halloween\", \"Black Friday\", \"Christmas\")\n- model_target (e.g., \"SDXL\", \"Midjourney\", \"Flux\", \"Veo\")\n- aspect_ratio (e.g., \"1:1\", \"4:5\", \"16:9\")\n- N (number of distinct variations to generate)\n\nGoal:\n- Analyze the given product image, short description, and optional campaign context.\n- Produce **N distinct, production-ready image prompts** for ad creation.\n- **Preserve the product’s true identity** (color, form, logo, key features). Do not invent or alter the product.\n\nOutput:\n- Return **JSON only** following the schema below. **No extra text** outside the JSON.\n\nQuality rules:\n- Each prompt must be visually distinct (vary at least one major axis: scene, mood, style, lighting, camera, background, composition).\n- Use concise, concrete descriptors; avoid vague words (e.g., “nice”, “beautiful”).\n- Keep prompts brand-safe and realistic unless the user explicitly allows surreal concepts.\n- Prefer modern ad aesthetics: clean hero shots, lifestyle, editorial, macro texture, flat-lay, outdoor ambient, etc.\n- If any requested field is missing in the user input, **infer from the image**; if you cannot infer safely, set that subfield to an empty string.\n- If a **campaign** is provided, incorporate its seasonal or promotional theme **naturally and tastefully** (e.g.,  \n  • Halloween → moody/spooky, pumpkins, warm/orange accents, fog  \n  • Songkran → water splash, festive Thai summer vibe, bright daylight  \n  • 8.8 / 10.10 / 11.11 → bold sale energy, dynamic composition, price-tag visual cues without adding logos  \n  • Christmas → cozy, pine, warm lights, red/green palette  \n  • Black Friday → high contrast, dark sleek backdrops).  \n  If no campaign is provided (empty or “none”), **ignore** campaign styling.\n\nTarget models:\n- Prompts should be usable by **Midjourney, SDXL, Flux, or Veo**. Avoid model-specific tokens unless provided in the user input (e.g., “--ar 16:9”, “--style raw”).\n\nPrompt composition guidance (recommended ingredients):\n- **Subject/Product**: exact product + salient features visible in the image (material, finish, color, unique parts).\n- **Scene/Environment**: studio / lifestyle / outdoor / occasion-linked (if campaign present).\n- **Style/Art direction**: minimalist / cinematic / editorial / lifestyle / high-fashion / tech-forward / cozy, etc.\n- **Lighting**: softbox / rim light / natural daylight / golden hour / neon / HDRI; mention shadows/reflections if relevant.\n- **Camera**: 35mm / 85mm / wide / macro / top-down / tilt-shift, F-stop or DoF if helpful.\n- **Composition**: centered / rule of thirds / flat-lay / hero shot / negative space for text.\n- **Background**: seamless white/black, textured concrete, wooden desk, gradient, seasonal set pieces (only if campaign present).\n- **Color mood**: pastel / vibrant / monochrome / brand palette; align gently with any campaign palette.\n- **Post-process**: subtle film grain / glossy reflections / HDR / product retouch / shadow catching.\n- **Marketing angle**: premium luxury / eco-friendly / active lifestyle / tech-forward / festive sale energy.\n\nBrand-safety & integrity:\n- Do **not** add or modify logos, certifications, or claims not present in the description.\n- Do **not** imply medical/health claims unless explicitly provided.\n- Avoid depicting real people/celebrities. If humans are implied, keep them generic and non-identifiable.\n\nRequired JSON schema (return this object only):\n{\n  \"product_name\": string,\n  \"product_description\": string,\n  \"image_url\": string,\n  \"campaign\": string,                   // optional; leave \"\" if none\n  \"model_target\": string,               // e.g., \"SDXL\", \"Midjourney\", \"Flux\", \"Veo\"\n  \"aspect_ratio\": string,               // e.g., \"1:1\", \"4:5\", \"16:9\"\n  \"variations\": [\n    {\n      \"variation_id\": number,\n      \"prompt\": string,                 // full generation prompt (one line)\n      \"style\": string,                  // e.g., minimalist / cinematic / editorial / lifestyle / surreal\n      \"scene\": string,                  // e.g., studio / outdoor / cafe / gym / beach\n      \"lighting\": string,               // e.g., softbox / natural daylight / neon / golden hour / rim light\n      \"camera\": string,                 // e.g., 35mm / 85mm / macro / top-down / tilt-shift, include DoF if useful\n      \"composition\": string,            // e.g., centered / rule of thirds / flat-lay / hero shot / negative space\n      \"background\": string,             // e.g., white seamless / textured concrete / gradient / city night\n      \"color_mood\": string,             // e.g., pastel / vibrant / monochrome / brand palette\n      \"post_process\": string,           // e.g., subtle film grain / glossy reflections / HDR / product retouch\n      \"marketing_angle\": string         // e.g., premium luxury / eco-friendly / active lifestyle / tech-forward\n    }\n  ]\n}\n\nValidation:\n- Produce **exactly N** variations.\n- Ensure each \"prompt\" is a **single line** without JSON-breaking characters.\n- Escape any internal quotes if needed. Do not include commentary outside the JSON block.\n\nFailure handling:\n- If the image cannot be analyzed (unreachable URL or ambiguous), still return a valid JSON with minimal safe prompts derived from the description; leave unknown subfields as \"\" and add a short note in \"notes\".\n"
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          "value": "gpt-4.1-mini"
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        "fieldToSplitOut": "output.scenes"
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      "name": "Ajouter une ligne dans la feuille",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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          "value": {
            "prompt": "={{ $json.prompt }}",
            "status": "Ready",
            "scene_ref": "={{ $('Get row(s) in sheet').item.json.product_name }}_{{ $json.scene_id }}",
            "product_name": "={{ $('Get row(s) in sheet').item.json.product_name }}"
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      "disabled": true,
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      "parameters": {
        "width": 1840,
        "height": 192,
        "content": "### 🟨 Zone 2: Create Image\n\n1. **When clicking 'Execute workflow**\n2. **Get ImageURL and Prompt(Google Sheets)**\n3. **Create Image by Fal.ai (nano banana)**\n4. **Analys image for preparing video**"
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      "webhookId": "98549686-33c2-4bef-a176-92ead56ad0d1",
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      "type": "n8n-nodes-base.if",
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        "conditions": {
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            "version": 2,
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            "caseSensitive": true,
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              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
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              "leftValue": "={{ $json.status }}",
              "rightValue": "=COMPLETED"
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      "typeVersion": 2.2
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    {
      "id": "b313b28e-10e0-4815-b8e5-a5e8c1ad4542",
      "name": "Obtenir le statut de l'image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "parameters": {
        "url": "={{ $json.status_url }}",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
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      "credentials": {
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          "name": "Fal AI"
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    {
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      "name": "Appeler Fal.ai API (nannoBanana)",
      "type": "n8n-nodes-base.httpRequest",
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      "parameters": {
        "url": "=https://queue.fal.run/fal-ai/{{ $('Get row(s) in sheet').item.json.model_target }}/edit",
        "method": "=POST",
        "options": {},
        "jsonBody": "={\n     \"prompt\": \"{{ $json.prompt }} {{ $json.notes }}\",\n     \"image_urls\": [\n       \"{{ $json.product }}\"\n     ],\n     \"num_images\": 1,\n     \"output_format\": \"jpeg\"\n}",
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        "specifyBody": "json",
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    {
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      ],
      "parameters": {
        "jsonSchemaExample": "\n{\n  \"product_name\": \"Smart Water Bottle\",\n  \"product_description\": \"A sleek stainless steel smart water bottle with LED temperature display.\",\n  \"image_url\": \"https://drive.google.com/uc?export=view&id=123abcXYZ\",\n  \"scenes\": [\n    {\n      \"scene_id\": 1,\n      \"prompt\": \"smart stainless steel water bottle on a minimalist white marble counter, cinematic studio lighting, soft shadows, product hero shot, centered composition\"\n    },\n    {\n      \"scene_id\": 2,\n      \"prompt\": \"smart water bottle on a wooden gym bench, fitness lifestyle, natural sunlight from window, sweat towel nearby, cinematic depth of field\"\n    },\n    {\n      \"scene_id\": 3,\n      \"prompt\": \"product placed in a futuristic cyberpunk neon city background, glowing reflections, dramatic rim lighting, 35mm lens, bold composition\"\n    }\n  ]\n}\n"
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      "credentials": {
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        "content": "### 🟩 Zone 1: Create Image\n\n1. **When clicking 'Execute workflow**\n2. **Get ImageURL and Product Detail(Google Sheets)**\n3. **Analys image for create Ad image**\n4. **AI generate Prompt for Ad_Image**"
      },
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      "parameters": {
        "url": "=https://queue.fal.run/fal-ai/nano-banana/requests/{{ $json.request_id }}",
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        "content": "## Product Image\n![Alt text](https://drive.google.com/thumbnail?id=1hyFmGf4MEWcOwOqYwYpJj1ZJurui5BCm&sz=w300)\n"
      },
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        "content": "## Product Image - nano Banana\n![Alt text](https://drive.google.com/thumbnail?id=1Vzqb9HVfQYcj1HKk_-lU6ETULtO8eOn3&sz=w300)  ![Alt text](https://drive.google.com/thumbnail?id=1tSEd8Di4aKT2jL9GSeDO32mBNkllV5aV&sz=w300)  ![Alt text](https://drive.google.com/thumbnail?id=1gS0wIAIikbxCcFSQsBQDefMP0PY50zWW&sz=w300)  ![Alt text](https://drive.google.com/thumbnail?id=1eHTDoroLkD94fhUqW2OLHcvEwMWl5Wk5&sz=w300)"
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