Create childrens AI story videos from drawings and auto-publish to YouTube with Blotato

{"id":"yfIi4CChMQkYHTfj","meta":{"instanceId":"de822f81f3a2367cef7d9549771a77783236bc9596481be2ae65c05fbcc4b4fd","templateCredsSetupCompleted":true},"name":"workflow1 copy - MEF","tags":[],"nodes":[{"id":"c0d8791a-573e-4803-94ef-78983a97c250","name":"On form submission","type":"n8n-nodes-base.formTrigger","position":[-1136,-224],"webhookId":"df73cf22-0e12-4c4d-b7a6-cf50dfaa5044","parameters":{"options":{},"formTitle":"SketchTales","formFields":{"values":[{"fieldName":"Image","fieldType":"file","fieldLabel":"Upload your child's drawing","multipleFiles":false,"requiredField":true}]}},"typeVersion":2.4},{"id":"67676d60-5dfa-4f0a-9fdc-614c95ba445e","name":"Analyze an image","type":"@n8n/n8n-nodes-langchain.googleGemini","position":[-512,-224],"parameters":{"text":"You are an expert at understanding children's artwork. Analyze this drawing and extract ALL characters/creatures/people you see.\\n\\nFor each character give:\\n- A fun simple name a child would use\\n- Detailed visual description (colors, size, features, clothing, expression)\\n\\nAlso extract:\\n- Setting (where is this?)\\n- Mood (happy, adventurous, silly, etc.)\\n\\nRespond ONLY in this exact JSON format, no markdown, no backticks:\\n{\\\"characters\\\": [{\\\"name\\\": \\\"...\\\", \\\"description\\\": \\\"...\\\"}], \\\"setting\\\": \\\"...\\\", \\\"mood\\\": \\\"...\\\"}","modelId":{"__rl":true,"mode":"list","value":"models/gemini-3-pro-preview","cachedResultName":"models/gemini-3-pro-preview"},"options":{},"resource":"image","inputType":"binary","operation":"analyze"},"credentials":{"googlePalmApi":{"id":"credential-id","name":"Google Gemini(PaLM) Api account 2"}},"typeVersion":1.1},{"id":"102bdbc6-5742-4f6a-9e3c-b24ea60c77e3","name":"Edit Fields","type":"n8n-nodes-base.set","position":[-320,-224],"parameters":{"options":{},"assignments":{"assignments":[{"id":"f3431bde-ff93-412e-b836-082b3752fcf3","name":"content.parts[0].text","type":"string","value":"={{ $json.content.parts[0].text }}"}]}},"typeVersion":3.4},{"id":"e7d86999-0cd4-470f-bb0f-e4903d227b34","name":"Extract from File","type":"n8n-nodes-base.extractFromFile","position":[-928,-224],"parameters":{"options":{},"operation":"binaryToPropery","binaryPropertyName":"Image"},"typeVersion":1.1},{"id":"8a501e82-ba99-4de0-9a90-2594ef76cd83","name":"Convert to File","type":"n8n-nodes-base.convertToFile","position":[-720,-224],"parameters":{"options":{},"operation":"toBinary","sourceProperty":"data"},"typeVersion":1.1},{"id":"7940864c-cc04-4b49-ae9f-57c4941297fa","name":"Parse Characters","type":"n8n-nodes-base.code","position":[-112,-224],"parameters":{"jsCode":"const response = $input.first().json;\nlet text = response.content.parts[0].text;\ntext = text.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\nconst data = JSON.parse(text);\n\nconst chars = data.characters;\nlet charList = '';\nlet jsonFormat = '{\\n';\n\nfor (let i = 0; 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// change to your code node name that has character_name\n\nreturn cloudinary.map((item, i) => ({\n  json: {\n    character_index: i + 1,\n    character_name: characters[i].json.character_name,\n    character_image_url: item.json.secure_url\n  }\n}));"},"typeVersion":2},{"id":"aeeb4e87-af77-4bb8-bd1e-42715c625512","name":"Build Story Context","type":"n8n-nodes-base.code","position":[-1120,576],"parameters":{"jsCode":"const items = $input.all();\n\nlet charList = '';\nlet charMap = [];\n\nfor (const item of items) {\n  const c = item.json;\n  charList += c.character_name + ' (image: ' + c.character_image_url + ')\\n';\n  charMap.push({\n    character_index: c.character_index,\n    character_name: c.character_name,\n    character_image_url: c.character_image_url\n  });\n}\n\nreturn [{\n  json: {\n    character_count: items.length,\n    character_list: charList,\n    character_map: charMap\n  }\n}];"},"typeVersion":2},{"id":"d9e694a2-db68-4109-b0f1-63dd0a634163","name":"Split Story Chunks","type":"n8n-nodes-base.code","position":[-576,576],"parameters":{"jsCode":"const story = $input.first().json.output;\nconst charMap = $('Map Character URLs').all(); // change to your node name with character URLs\n\nreturn story.chunks.map(chunk => ({\n  json: {\n    title: story.title,\n    chunk_number: chunk.chunk_number,\n    script: chunk.script,\n    image_prompt: chunk.image_prompt,\n    duration_seconds: chunk.duration_seconds,\n    characters_used: chunk.characters_used,\n    character_images: chunk.characters_used.map(i => \n      charMap[i - 1].json.character_image_url\n    )\n  }\n}));"},"typeVersion":2},{"id":"5d98edd7-da5c-4a55-b825-caf729278015","name":"Extract Unique Character URLs","type":"n8n-nodes-base.code","position":[-368,576],"parameters":{"jsCode":"const chunks = $input.all();\nconst allUrls = new Set();\n\nfor (const chunk of chunks) {\n  for (const url of chunk.json.character_images) {\n    allUrls.add(url);\n  }\n}\n\nreturn [...allUrls].map((url, i) => ({\n  json: {\n    character_index: i + 1,\n    image_url: url\n  }\n}));"},"typeVersion":2},{"id":"03c82920-81ad-4dab-8781-c41c4604a9d3","name":"Build Scene Payload","type":"n8n-nodes-base.code","position":[-160,576],"parameters":{"jsCode":"const story = $('Generate Story').first().json.output;\nconst charUrls = $('Extract Unique Character URLs').all();\n\nconst characters = charUrls.map(c => ({\n  character_index: c.json.character_index,\n  image_url: c.json.image_url\n}));\n\nconst chunks = story.chunks.map(chunk => ({\n  chunk_number: chunk.chunk_number,\n  script: chunk.script,\n  image_prompt: chunk.image_prompt,\n  duration_seconds: chunk.duration_seconds,\n  characters_used: chunk.characters_used,\n  character_images: chunk.characters_used.map(i =>\n    characters.find(c => c.character_index === i).image_url\n  )\n}));\n\nreturn [{\n  json: {\n    title: story.title,\n    characters: characters,\n    chunks: chunks\n  }\n}];"},"typeVersion":2},{"id":"e977d9c6-e243-4e9e-8304-970eea973aba","name":"Trigger Scene Workflow","type":"n8n-nodes-base.httpRequest","position":[48,576],"parameters":{"url":"https://dr-firass.app.n8n.cloud/webhook-test/9a2bdfcb-57ae-4a8f-a3dc-78382b9334a0","method":"POST","options":{},"jsonBody":"={{ $json }}","sendBody":true,"specifyBody":"json"},"typeVersion":4.3},{"id":"ada7addf-8329-460d-8fcf-5d8478de85f5","name":"Structured Output Parser2","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[-768,304],"parameters":{"jsonSchemaExample":"{\n  \"prompts\": [\n    {\n      \"character_index\": 1,\n      \"character_name\": \"...\",\n      \"prompt\": \"...\"\n    }\n  ]\n}"},"typeVersion":1.3},{"id":"bb283fd5-6ebf-4e43-8de2-04bd4f522254","name":"Anthropic Chat Model1","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[-912,304],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-5-20250929","cachedResultName":"Claude Sonnet 4.5"},"options":{}},"credentials":{"anthropicApi":{"id":"credential-id","name":"Anthropic account 6"}},"typeVersion":1.3},{"id":"0bad2b61-4545-4f8b-9e4a-20a7e0ff9283","name":"Structured Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[-784,736],"parameters":{"jsonSchemaExample":"{\n  \"title\": \"...\",\n  \"chunks\": [\n    {\n      \"chunk_number\": 1,\n      \"script\": \"...\",\n      \"image_prompt\": \"...\",\n      \"characters_used\": [1],\n      \"duration_seconds\": 10\n    }\n  ]\n}"},"typeVersion":1.3},{"id":"7e9113bf-d405-4278-b62c-f6864fcbc39f","name":"Anthropic Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[-928,736],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-5-20250929","cachedResultName":"Claude Sonnet 4.5"},"options":{}},"credentials":{"anthropicApi":{"id":"credential-id","name":"Anthropic account 6"}},"typeVersion":1.3},{"id":"fd6cd8ee-bd3a-461c-993c-169aeddb8acc","name":"Upload an asset from file data1","type":"n8n-nodes-cloudinary.cloudinary","position":[544,176],"parameters":{"operation":"uploadFile","additionalFieldsFile":{}},"credentials":{"cloudinaryApi":{"id":"credential-id","name":"Cloudinary account 7"}},"typeVersion":1},{"id":"402f8d66-8cdf-4f5a-b2a5-b04d719d2f44","name":"Generate Story","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[-928,576],"parameters":{"text":"=Write a children's story using these {{ $json.character_count }} characters:\n\n{{ $json.character_list }}\n\nRespond in this EXACT JSON format:\n{\n  \"title\": \"...\",\n  \"chunks\": [\n    {\n      \"chunk_number\": 1,\n      \"script\": \"narration text here\",\n      \"image_prompt\": \"Using the attached character images as reference, create a scene showing...\",\n      \"characters_used\": [1, 2],\n      \"duration_seconds\": 10\n    }\n  ]\n}","batching":{},"messages":{"messageValues":[{"message":"You are a beloved children's storybook author and visual director. You write short, magical stories for ages 3-7. You will receive characters from a child's drawing. Write a story in chunks. Each chunk is about 10 seconds of narration (2-3 sentences). For each chunk you also write a detailed image generation prompt for the scene illustration. Rules: 1) Use the EXACT character names provided in the narration. 2) Each chunk specifies which characters appear by their index number. 3) Story has a beginning, a small adventure, a resolution, and a warm ending. 4) Language is simple, warm, magical — sensory details, sounds, colors, feelings. 5) Keep it to 4-6 chunks total. 6) Each image_prompt MUST start with 'Using the attached character images as reference, create a scene showing...' 7) Image style for ALL: 'soft watercolor, rounded shapes, warm lighting, children's storybook animation, Pixar meets Eric Carle'. 8) Include scene setting, character poses, expressions, actions, and mood in each image_prompt. 9) duration_seconds should match how long the narration takes to read aloud slowly. 10) Respond ONLY valid JSON — no explanation, no markdown, no backticks."}]},"promptType":"define","hasOutputParser":true},"typeVersion":1.9},{"id":"30739bcf-70f4-44e5-9307-ce3c65e08d9e","name":"Generate Character Prompts","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[-912,160],"parameters":{"text":"=I have {{ $json.character_count }} characters. Generate an image prompt for each.\n\n{{ $json.character_list }}\n\nReturn EXACTLY {{ $json.character_count }} items in this JSON format:\n{{ $json.json_format }}","batching":{},"messages":{"messageValues":[{"message":"You are an expert prompt engineer for AI image generation. You will receive characters from a child's drawing. Write a detailed image generation prompt for EACH character that will be sent to an image-to-image AI model along with the original drawing as reference. All characters must share the SAME art style so they belong in the same storybook. Rules: 1) Every prompt MUST start with 'Using the attached image as reference, create an animated cartoon version of...'. 2) Reference EXACT colors, features, clothing, proportions. 3) Every prompt includes 'front-facing, full body, clean white background'. 4) Style for ALL: 'soft watercolor, rounded shapes, warm lighting, children's storybook animation, Pixar meets Eric Carle'. 5) No text in image. 6) ONE character per prompt — isolate only that character from the drawing. 7) Respond ONLY valid JSON — no explanation, no markdown, no backticks."}]},"promptType":"define","hasOutputParser":true},"typeVersion":1.9},{"id":"450c3e35-ca79-4e4c-a623-13ef050f494a","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-1280,-368],"parameters":{"color":7,"width":2320,"height":1264,"content":"## Part 1 — From Drawing to Story: Characters, Images & Narrative"},"typeVersion":1},{"id":"5d18efd8-0e84-4f57-a39b-e41bc0d475f3","name":"Webhook","type":"n8n-nodes-base.webhook","position":[-1152,1008],"webhookId":"87f99887-37fa-432a-ba5b-fd8043373e64","parameters":{"path":"87f99887-37fa-432a-ba5b-fd8043373e64","options":{},"httpMethod":"POST"},"typeVersion":2.1},{"id":"483a8e4d-b3b0-4022-a388-b3eafcbe97ee","name":"Split Scene Chunks","type":"n8n-nodes-base.code","position":[-928,1008],"parameters":{"jsCode":"const body = $input.first().json.body;\n\nreturn body.chunks.map(chunk => ({\n  json: {\n    title: body.title,\n    chunk_number: chunk.chunk_number,\n    script: chunk.script,\n    image_prompt: chunk.image_prompt,\n    duration_seconds: chunk.duration_seconds,\n    characters_used: chunk.characters_used,\n    character_images: chunk.character_images\n  }\n}));"},"typeVersion":2},{"id":"a5e18250-500b-4095-8b8d-496d214ceaf8","name":"Extract Character URLs","type":"n8n-nodes-base.code","position":[-720,1008],"parameters":{"jsCode":"const body = $('Webhook').first().json.body;\n\nreturn body.characters.map(c => ({\n  json: {\n    character_index: c.character_index,\n    image_url: c.image_url\n  }\n}));"},"typeVersion":2},{"id":"133845a0-1d49-4505-840e-0c647730a4bc","name":"Download Character Images","type":"n8n-nodes-base.httpRequest","position":[-544,1008],"parameters":{"url":"={{ $json.image_url }}","options":{}},"typeVersion":4.3},{"id":"60a78731-bbc4-4891-b50e-55c0429b35e8","name":"Character Images to Base64","type":"n8n-nodes-base.extractFromFile","position":[-336,1008],"parameters":{"options":{},"operation":"binaryToPropery"},"typeVersion":1.1},{"id":"83ea57c6-9f84-4ba0-a6c5-35356a5a199b","name":"Build Base64 Map","type":"n8n-nodes-base.code","position":[-128,1008],"parameters":{"jsCode":"const items = $input.all();\n\nreturn [{\n  json: {\n    character_base64: items.map((item, i) => ({\n      character_index: i + 1,\n      base64: item.json.data,\n      mimetype: item.json.mimetype || 'image/jpeg'\n    }))\n  }\n}];"},"typeVersion":2},{"id":"6a322b10-3b98-414c-a184-bc5777a53e5f","name":"Build Scene Image Payloads","type":"n8n-nodes-base.code","position":[-1168,1424],"parameters":{"jsCode":"const charData = $('Build Base64 Map').first().json.character_base64;\nconst body = $('Webhook').first().json.body;\n\nreturn body.chunks.map(chunk => {\n  const parts = [\n    { text: chunk.image_prompt }\n  ];\n\n  for (const charIdx of chunk.characters_used) {\n    const char = charData.find(c => c.character_index === charIdx);\n    if (char) {\n      parts.push({\n        inline_data: {\n          mime_type: char.mimetype,\n          data: char.base64\n        }\n      });\n    }\n  }\n\n  return {\n    json: {\n      chunk_number: chunk.chunk_number,\n      script: chunk.script,\n      duration_seconds: chunk.duration_seconds,\n      payload: {\n        contents: [{ parts }],\n        generationConfig: {\n          responseModalities: [\"TEXT\", \"IMAGE\"],\n          imageConfig: {\n            aspectRatio: \"16:9\",\n            imageSize: \"1K\"\n          }\n        }\n      }\n    }\n  };\n});"},"typeVersion":2},{"id":"009372bc-69aa-4edd-8706-9cd0aa7cb1d3","name":"Nano Banana Scene Generate","type":"n8n-nodes-base.httpRequest","position":[-976,1424],"parameters":{"url":"https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent","method":"POST","options":{},"jsonBody":"={{ $json.payload }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","authentication":"predefinedCredentialType","headerParameters":{"parameters":[{"name":"Content-Type","value":"application/json"}]},"nodeCredentialType":"googlePalmApi"},"credentials":{"googlePalmApi":{"id":"credential-id","name":"Google Gemini(PaLM) Api account 2"}},"retryOnFail":true,"typeVersion":4.3,"waitBetweenTries":5000},{"id":"ef558c1f-8fcc-419d-aa46-da2b1e73558f","name":"Extract Scene 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[{\n  json: {\n    title: body.title,\n    chunks: chunks\n  }\n}];"},"typeVersion":2},{"id":"0f81613e-826f-45b1-ae18-37f1bdc517a6","name":"Trigger Video Workflow","type":"n8n-nodes-base.httpRequest","position":[80,1424],"parameters":{"url":"https://dr-firass.app.n8n.cloud/webhook-test/ec089d71-c7c3-482a-b11d-f7c24ec16fbc","method":"POST","options":{},"jsonBody":"={{ $json }}","sendBody":true,"specifyBody":"json"},"typeVersion":4.3},{"id":"d7dd8fba-1eb8-441c-a7e7-2fd0257bfd77","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-1280,944],"parameters":{"color":7,"width":2304,"height":688,"content":"## Part 2 — From Characters to Scenes: Rendering the Visual Story"},"typeVersion":1},{"id":"fe093455-f66b-428d-93ec-f8ba8391f326","name":"Upload an asset from file data","type":"n8n-nodes-cloudinary.cloudinary","position":[-336,1424],"parameters":{"operation":"uploadFile","additionalFieldsFile":{}},"credentials":{"cloudinaryApi":{"id":"credential-id","name":"Cloudinary account 7"}},"typeVersion":1},{"id":"06619dc2-b9df-4d46-89b9-cb2eb59d168f","name":"Structured Output Parser1","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[-400,1952],"parameters":{"jsonSchemaExample":"{\n  \"scenes\": [\n    {\n      \"chunk_number\": 1,\n      \"video_prompt\": \"Use the provided image as the first frame. ...\",\n      \"narration\": \"shortened narration here\"\n    }\n  ]\n}"},"typeVersion":1.3},{"id":"369bb7b5-ab54-494c-8c0d-ea8cee07b13f","name":"Wait","type":"n8n-nodes-base.wait","position":[-864,2224],"webhookId":"6446b033-86ea-460a-915e-eab984f38441","parameters":{"unit":"minutes","amount":11},"typeVersion":1.1},{"id":"8b1a782e-4218-4e71-9f10-e5e5be20d0a1","name":"If","type":"n8n-nodes-base.if","position":[-480,2224],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"loose"},"combinator":"and","conditions":[{"id":"47c96ffd-1daa-417b-8ccc-0702e38fbfc9","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.data.status }}","rightValue":"completed"}]},"looseTypeValidation":true},"executeOnce":false,"typeVersion":2.3},{"id":"31f82df9-bcbd-4c0a-89da-830de57868b6","name":"Loop Over Items","type":"n8n-nodes-base.splitInBatches","position":[-32,2432],"parameters":{"options":{}},"typeVersion":3},{"id":"13eeeaee-9410-4afa-ac0f-798b8cb575b2","name":"Wait1","type":"n8n-nodes-base.wait","position":[560,2400],"webhookId":"8643f429-d5a7-4e94-8fa2-a047905bb585","parameters":{},"typeVersion":1.1},{"id":"4e0a68d7-1843-4592-8d21-1db57dec2271","name":"Wait2","type":"n8n-nodes-base.wait","position":[-352,2864],"webhookId":"0759957f-d934-4d6b-8765-42fc51f12087","parameters":{"unit":"minutes","amount":1},"typeVersion":1.1},{"id":"d8d2e7a0-bc42-4bd4-ad98-373bc6aca49a","name":"Split Video Chunks","type":"n8n-nodes-base.code","position":[-976,1808],"parameters":{"jsCode":"const body = $input.first().json.body;\n\nconst staticData = $getWorkflowStaticData('global');\nstaticData.title = body.title;\nstaticData.chunks = body.chunks;\n\nreturn body.chunks.map(chunk => ({\n  json: {\n    chunk_number: chunk.chunk_number,\n    script: chunk.script,\n    image_prompt: chunk.image_prompt,\n    duration_seconds: chunk.duration_seconds,\n    scene_image_url: chunk.scene_image_url\n  }\n}));"},"typeVersion":2},{"id":"9617c307-c9d8-41d5-adcd-cd654e8e0b41","name":"Build Narration Context","type":"n8n-nodes-base.code","position":[-768,1808],"parameters":{"jsCode":"const items = $input.all();\n\nlet chunkList = '';\nfor (const item of items) {\n  const c = item.json;\n  chunkList += 'Scene ' + c.chunk_number + ':\\n';\n  chunkList += 'Script: ' + c.script + '\\n';\n  chunkList += 'Image description: ' + c.image_prompt + '\\n';\n  chunkList += 'Duration: ' + c.duration_seconds + 's\\n\\n';\n}\n\nreturn [{\n  json: {\n    chunk_count: items.length,\n    chunk_list: chunkList\n  }\n}];"},"typeVersion":2},{"id":"3fadb3ec-8e75-4026-bdbb-b1a94ab0285c","name":"Generate Video Prompts","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[-544,1808],"parameters":{"text":"=I have {{ $json.chunk_count }} scenes. Write a video animation prompt and shortened narration for each.\n\n{{ $json.chunk_list }}\n\nRespond in this EXACT JSON format:\n{\n  \"scenes\": [\n    {\n      \"chunk_number\": 1,\n      \"video_prompt\": \"Use the provided image as the first frame. ...\",\n      \"narration\": \"shortened narration here\"\n    }\n  ]\n}","batching":{},"messages":{"messageValues":[{"message":"You are an expert video prompt engineer and children's storybook narrator. You receive scene descriptions and their narration scripts. For each scene you do TWO things: 1) Write a video animation prompt for AI image-to-video generation (Kling style). 2) Rewrite the narration to be SHORTER — must take no more than 8 seconds to read aloud at a slow storytelling pace (roughly 15-18 words max). The video starts from the provided scene image. Rules for video_prompt: 1) Describe what MOVES and HOW — character gestures, facial expressions, wind, particles, camera pans/zooms. 2) Keep camera movements cinematic but gentle — slow zoom, slight pan, subtle dolly. 3) Match the mood of the narration. 4) Duration is 10 seconds per clip. 5) Start each prompt with 'Use the provided image as the first frame.' 6) No text in video. Rules for narration: 1) Keep the same story meaning but use fewer words. 2) Maximum 18 words per chunk. 3) Warm, magical tone for ages 3-7. 4) Must sound natural when read aloud. Respond ONLY valid JSON — no explanation, no markdown, no backticks."}]},"promptType":"define","hasOutputParser":true},"typeVersion":1.9},{"id":"43b34654-a84f-4848-83ae-34592133ea5a","name":"Merge Video Prompts","type":"n8n-nodes-base.code","position":[-192,1808],"parameters":{"jsCode":"const scenes = $input.first().json.output.scenes;\nconst body = $('Webhook1').first().json.body;\n\nreturn scenes.map((scene, i) => ({\n  json: {\n    chunk_number: scene.chunk_number,\n    script: body.chunks[i].script,\n    duration_seconds: body.chunks[i].duration_seconds,\n    scene_image_url: body.chunks[i].scene_image_url,\n    video_prompt: scene.video_prompt\n  }\n}));"},"typeVersion":2},{"id":"25cc95f0-505a-4a01-923d-bb5626b7726f","name":"Build Kling Payloads","type":"n8n-nodes-base.code","position":[16,1808],"parameters":{"jsCode":"const items = $input.all();\n\nreturn items.map((item, i) => {\n  const nextImage = i < items.length - 1 ? items[i + 1].json.scene_image_url : undefined;\n\n  const payload = {\n    model: \"kwaivgi/kling-v3.0-pro/image-to-video\",\n    cfg_scale: 0.5,\n    duration: item.json.duration_seconds,\n    image: item.json.scene_image_url,\n    ...(nextImage && { end_image: nextImage }),\n    prompt: item.json.video_prompt,\n    negative_prompt: \"talking, speaking, mouth movement, lip sync, dialogue, voice, speech\",\n    sound: true\n  };\n\n  return {\n    json: {\n      chunk_number: item.json.chunk_number,\n      script: item.json.script,\n      body: JSON.stringify(payload)\n    }\n  };\n});"},"typeVersion":2},{"id":"3d586f77-d0f2-46ea-8578-3455efe7453a","name":"Atlas Cloud Generate Video","type":"n8n-nodes-base.httpRequest","position":[-1152,2224],"parameters":{"url":"https://api.atlascloud.ai/api/v1/model/generateVideo","method":"POST","options":{},"jsonBody":"={{ $json.body }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Authorization","value":"Bearer YOUR_TOKEN_HERE"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.3},{"id":"fc0a7246-4b43-45b4-9d19-4ce16e2ece36","name":"Atlas Cloud Poll Result","type":"n8n-nodes-base.httpRequest","position":[-688,2224],"parameters":{"url":"=https://api.atlascloud.ai/api/v1/model/prediction/{{ $json.data.id }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"Authorization","value":"Bearer YOUR_TOKEN_HERE"}]}},"typeVersion":4.3},{"id":"b2ffff3c-561a-4433-8252-a6aa2cf3ac34","name":"Extract Video URLs","type":"n8n-nodes-base.code","position":[-240,2256],"parameters":{"jsCode":"const items = $input.all();\n\nreturn items.map((item, i) => ({\n  json: {\n    chunk_number: i + 1,\n    video_url: item.json.data.outputs[0]\n  }\n}));"},"typeVersion":2},{"id":"6e5c0287-0bb7-485a-a4a8-cb869f67e7ac","name":"ElevenLabs Narrate","type":"n8n-nodes-base.httpRequest","position":[208,2288],"parameters":{"url":"https://api.elevenlabs.io/v1/text-to-speech/onwK4e9ZLuTAKqWW03F9","method":"POST","options":{"response":{"response":{"responseFormat":"file"}}},"jsonBody":"={{ $json.body }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"xi-api-key","value":"YOUR_API_HERE"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.3},{"id":"b98705d6-1ba5-4b0a-8dea-7f6c8681f7da","name":"Extract Audio URLs","type":"n8n-nodes-base.code","position":[816,2480],"parameters":{"jsCode":"const items = $input.all();\n\nreturn items.map((item, i) => ({\n  json: {\n    chunk_number: i + 1,\n    audio_url: item.json.secure_url\n  }\n}));"},"typeVersion":2},{"id":"9d4836ef-d682-425c-a347-9cb05ef7835c","name":"Build Shotstack Payload","type":"n8n-nodes-base.code","position":[-1152,2864],"parameters":{"jsCode":"const audioItems = $input.all();\nconst videoItems = $('Extract Video URLs').all();\nconst chunkItems = $('Split Video Chunks').all();\n\nif (!chunkItems || chunkItems.length === 0) {\n  throw new Error('Aucun chunk trouvé depuis \"Split Video Chunks\".');\n}\nif (!videoItems || videoItems.length === 0) {\n  throw new Error('Aucune vidéo trouvée depuis \"Extract Video URLs\".');\n}\nif (!audioItems || audioItems.length === 0) {\n  throw new Error('Aucun audio reçu en entrée.');\n}\n\nconst staticData = $getWorkflowStaticData('global');\nconst title = staticData.title ?? chunkItems[0]?.json?.title ?? 'Sans titre';\n\nconst scenes = chunkItems.map((chunkItem, i) => ({\n  chunk_number: chunkItem.json.chunk_number,\n  duration_seconds: chunkItem.json.duration_seconds,\n  video_url: videoItems[i]?.json?.video_url ?? null,\n  audio_url: audioItems[i]?.json?.audio_url ?? null\n}));\n\nreturn [{\n  json: {\n    title: title,\n    scenes: scenes\n  }\n}];"},"typeVersion":2},{"id":"95bd87ae-5ace-4043-be74-fdd2abaf5cd7","name":"Build Shotstack Timeline","type":"n8n-nodes-base.code","position":[-848,2864],"parameters":{"jsCode":"const data = $input.first().json;\n\nlet currentTime = 0;\nconst videoClips = [];\nconst audioClips = [];\n\nfor (const scene of data.scenes) {\n  videoClips.push({\n    asset: {\n      type: \"video\",\n      src: scene.video_url\n    },\n    start: currentTime,\n    length: \"auto\"\n  });\n\n  audioClips.push({\n    asset: {\n      type: \"audio\",\n      src: scene.audio_url,\n      volume: 1\n    },\n    start: currentTime,\n    length: \"auto\"\n  });\n\n  currentTime += scene.duration_seconds;\n}\n\nreturn [{\n  json: {\n    body: JSON.stringify({\n      timeline: {\n        tracks: [\n          { clips: videoClips },\n          { clips: audioClips }\n        ]\n      },\n      output: {\n        format: \"mp4\",\n        resolution: \"hd\"\n      }\n    })\n  }\n}];"},"typeVersion":2},{"id":"fd067e22-704e-4d9f-8419-2fd0f9625cf0","name":"Shotstack Render","type":"n8n-nodes-base.httpRequest","position":[-560,2864],"parameters":{"url":"https://api.shotstack.io/edit/v1/render","method":"POST","options":{},"jsonBody":"={{ $json.body }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"x-api-key","value":"YOUR_API_HERE"},{"name":"Content-Type","value":"application/json"}]}},"typeVersion":4.3},{"id":"99918688-3d1d-43c3-a8cf-de2e027a068d","name":"Shotstack Poll Result","type":"n8n-nodes-base.httpRequest","position":[-160,2864],"parameters":{"url":"=https://api.shotstack.io/edit/v1/render/{{ $json.response.id }}","options":{},"sendHeaders":true,"headerParameters":{"parameters":[{"name":"x-api-key","value":"YOUR_API_HERE"}]}},"typeVersion":4.3},{"id":"648603cd-b60c-4ca1-99ee-5bf0eae12b0f","name":"Prepare Narration Loop","type":"n8n-nodes-base.code","position":[-32,2256],"parameters":{"jsCode":"const scenes = $('Generate Video Prompts').first().json.output.scenes;\n\nreturn scenes.map(scene => ({\n  json: {\n    chunk_number: scene.chunk_number,\n    narration: scene.narration,\n    body: JSON.stringify({\n      text: scene.narration,\n      model_id: \"eleven_multilingual_v2\",\n      voice_settings: {\n        stability: 0.6,\n        similarity_boost: 0.75,\n        style: 0.7,\n        use_speaker_boost: true\n      }\n    })\n  }\n}));"},"typeVersion":2},{"id":"fd7c209b-3b3c-48ab-a90d-07a22aa43a71","name":"Generate Video Prompts1","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[64,2832],"parameters":{"text":"=Story title: {{ $('Webhook1').item.json.body.title }}\n\nScene scripts:\n{{ $('Split Video Chunks').all().map(s => 'Scene ' + s.json.chunk_number + ': ' + s.json.script).join('\\n') }}\n\nGenerate a video title and description.","batching":{},"messages":{"messageValues":[{"message":"You are a creative content writer. You receive a story title and scene scripts from an AI-generated video. Based on the content, tone, and characters, write a fitting video title and description. Rules: 1) Title should capture the essence of the story and be engaging. Max 60 characters. 2) Description should be 2-3 sentences that make people want to watch. Match the tone of the story. 3) Include 3-5 relevant hashtags at the end. 4) Respond ONLY valid JSON — no explanation, no markdown, no backticks. Format: {\"video_title\": \"...\", \"video_description\": \"...\"}"}]},"promptType":"define","hasOutputParser":true},"typeVersion":1.9},{"id":"45c1aee1-8fe6-4410-abf9-63f7b6714d88","name":"Youtube","type":"@blotato/n8n-nodes-blotato.blotato","position":[464,2800],"parameters":{"options":{"scheduledTime":""},"platform":"youtube","accountId":{"__rl":true,"mode":"list","value":"30379","cachedResultUrl":"https://backend.blotato.com/v2/accounts/30379","cachedResultName":"Dr. Firas (PlayKids - English)"},"postContentText":"={{ $json.output.scenes[0].description }}","postContentMediaUrls":"={{ $('Shotstack Poll Result').item.json.response.url }}","postCreateYoutubeOptionTitle":"={{ $json.output.scenes[0].video_title }}","postCreateYoutubeOptionMadeForKids":true,"postCreateYoutubeOptionShouldNotifySubscribers":false},"credentials":{"blotatoApi":{"id":"credential-id","name":"Blotato account"}},"typeVersion":2},{"id":"3d6f21dd-b5de-4ea2-aed7-827b43ad8773","name":"Tiktok","type":"@blotato/n8n-nodes-blotato.blotato","disabled":true,"position":[464,2960],"parameters":{"options":{},"platform":"tiktok","accountId":{"__rl":true,"mode":"list","value":"8047","cachedResultUrl":"https://backend.blotato.com/v2/accounts/8047","cachedResultName":"DR FIRASS (Dr. Firas)"},"postContentText":"={{ $json.output.scenes[0].video_title }}","postContentMediaUrls":"={{ $('Shotstack Poll Result').item.json.response.url }}","postCreateTiktokOptionPrivacyLevel":"SELF_ONLY"},"credentials":{"blotatoApi":{"id":"credential-id","name":"Blotato account"}},"typeVersion":2},{"id":"846c0106-4687-4aa9-9211-6c1cc4aa79ba","name":"Webhook1","type":"n8n-nodes-base.webhook","position":[-1184,1808],"webhookId":"abbcaa45-a01a-4e75-bcac-e2734a9bb489","parameters":{"path":"abbcaa45-a01a-4e75-bcac-e2734a9bb489","options":{},"httpMethod":"POST"},"typeVersion":2.1},{"id":"7348aa99-f6ab-434b-b531-0cff4cff0e5a","name":"Anthropic Chat Model2","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[-528,1952],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-5-20250929","cachedResultName":"Claude Sonnet 4.5"},"options":{}},"credentials":{"anthropicApi":{"id":"credential-id","name":"Anthropic account 6"}},"typeVersion":1.3},{"id":"4343a6ce-1c77-4535-9bfc-2f52b64922e4","name":"Upload an asset from file data2","type":"n8n-nodes-cloudinary.cloudinary","position":[400,2288],"parameters":{"operation":"uploadFile","resource_type_file":"raw","additionalFieldsFile":{}},"credentials":{"cloudinaryApi":{"id":"credential-id","name":"Cloudinary account 7"}},"typeVersion":1},{"id":"c9d907b0-38db-48c1-9fbd-037d460f3412","name":"Structured Output Parser3","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[208,2976],"parameters":{"jsonSchemaExample":"{\n  \"scenes\": [\n    {\n      \"video_title\": \"Use the provided image as the first frame. ...\",\n      \"description\": \"shortened narration here\"\n    }\n  ]\n}"},"typeVersion":1.3},{"id":"ef413214-9e30-4e13-a27f-f5ea737f0d67","name":"Anthropic Chat Model3","type":"@n8n/n8n-nodes-langchain.lmChatAnthropic","position":[80,2976],"parameters":{"model":{"__rl":true,"mode":"list","value":"claude-sonnet-4-5-20250929","cachedResultName":"Claude Sonnet 4.5"},"options":{}},"credentials":{"anthropicApi":{"id":"credential-id","name":"Anthropic account 6"}},"typeVersion":1.3},{"id":"d3bb0328-d8a2-42f7-8b58-f33078e39cea","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1280,1696],"parameters":{"color":7,"width":2304,"height":1456,"content":"## IPart 3 — From Scenes to Screen: Prompts, Audio & Final Assembly"},"typeVersion":1},{"id":"168bf49e-77ea-4b3c-8e9b-aa7c5ebf5976","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-2160,-368],"parameters":{"width":816,"height":2000,"content":"# 🎬 From Drawing to Story — Auto-Publish AI Video to YouTube with Blotato\n\nTransform a hand-drawn sketch into a fully narrated, animated video — automatically generated and published to YouTube.\n\n> ⚠️ **This template is split into 3 separate workflows.**\n> Each part must be imported into its **own workflow** in n8n.\n\n---\n\n## 🎥 Tutorial\n\n@[youtube](bmx4IHX5lhI)\n\n---\n\n## ⚙️ How It Works\n\n- **Part 1** — Analyze the drawing, generate character images & write the story\n- **Part 2** — Generate scene images with character consistency\n- **Part 3** — Generate videos, narrate with AI audio & auto-publish to YouTube\n\n---\n\n## 🔐 Credentials Needed\n\n- **[Blotato](https://blotato.com/?ref=firas)** — YouTube / TikTok publishing\n- **[AtlasCloud](https://www.atlascloud.ai?ref=8QKPJE)** — Kling Pro 3.0 video generation\n- **Anthropic** — Claude AI (story & prompts)\n- **ElevenLabs** — Narration audio\n- **Shotstack** — Final video assembly\n- **Nano Banana** — Image generation\n\n---\n\n## 🚀 Setup Steps\n\n1. Configure credentials for each service above in n8n\n2. Set up a form trigger with a file upload field for the drawing\n3. Deploy the 3 workflows in order and connect them via webhooks\n4. Run a test submission with a simple sketch to validate the full pipeline"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","availableInMCP":false,"executionOrder":"v1"},"versionId":"113acb6b-26b0-4415-9d0c-701ee10357cd","connections":{"If":{"main":[[{"node":"Extract Video URLs","type":"main","index":0}],[{"node":"Wait","type":"main","index":0}]]},"Wait":{"main":[[{"node":"Atlas Cloud Poll Result","type":"main","index":0}]]},"Wait1":{"main":[[{"node":"Loop Over Items","type":"main","index":0}]]},"Wait2":{"main":[[{"node":"Shotstack Poll Result","type":"main","index":0}]]},"Webhook":{"main":[[{"node":"Split Scene Chun...