(No publicado) Conversión de proyecciones ortogonales en tres vistas a video dinámico
Este es unDesign, AIflujo de automatización del dominio deautomatización que contiene 13 nodos.Utiliza principalmente nodos como If, Set, Code, Wait, HttpRequest, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Convertir vistas en tres en un video de 360° utilizando GPT-4o-Image y la API de Kling
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (13)
Categoría
{
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"meta": {
"instanceId": "1e003a7ea4715b6b35e9947791386a7d07edf3b5bf8d4c9b7ee4fdcbec0447d7"
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"name": "(Not published) Three-View Orthographic Projection to Dynamic Video Conversion",
"tags": [],
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"name": "Al hacer clic en 'Probar flujo de trabajo'",
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"name": "Generar video Kling",
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"parameters": {
"url": "https://api.piapi.ai/api/v1/task",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"kling\",\n \"task_type\": \"video_generation\",\n \"input\": {\n \"version\": \"1.6\",\n \"mode\": \"pro\",\n \"image_url\": \"{{ $('Get Image URL of Front Image').item.json.image_url }}\",\n \"image_tail_url\": \"{{ $json.image_url }}\",\n \"duration\":5,\n \"prompt\": \"The character rotates smoothly, stay original facial expression. Apply anticlockwise rotation\"\n }\n} ",
"sendBody": true,
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"value": "={{ $('Basic Params').item.json[\"x-api-key\"] }}"
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"typeVersion": 4.2
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{
"id": "cfc726ee-e6f2-4016-a4fe-7123a4520fda",
"name": "Obtener video Kling",
"type": "n8n-nodes-base.httpRequest",
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"parameters": {
"url": "=https://api.piapi.ai/api/v1/task/{{ $json.data.task_id }}",
"options": {},
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"parameters": [
{
"name": "x-api-key",
"value": "72858adea87ad16865d5b0a24c3d9b9f58a6e7b1a8a8a8a0d6b81a9f3a9812f3"
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"leftValue": "={{ $json.data.status }}",
"rightValue": "completed"
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"name": "Obtener video final",
"type": "n8n-nodes-base.code",
"position": [
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"parameters": {
"jsCode": "// Process the entire response\nreturn {\n video_url: $input.all()[0].json.data.output.video_url,\n watermark_free_url: $input.all()[0].json.data.output.works[0].video.resource_without_watermark\n};"
},
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{
"id": "adae02a4-dedc-4415-9409-88193090e2dc",
"name": "GPT-4o Generator: Vista frontal",
"type": "n8n-nodes-base.httpRequest",
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"parameters": {
"url": "https://api.piapi.ai/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"gpt-4o-image-preview\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": \"{{ $json.image_url }}\"\n }\n },\n {\n \"type\": \"text\",\n \"text\": \"Capture front view of the image, then split them into two separate images for me.\"\n }\n ]\n }\n ],\n \"stream\": true\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $json[\"x-api-key\"] }}"
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"credentials": {
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"name": "Header Auth account 2"
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{
"id": "63320b08-62bc-4faf-a3ff-4069785c41f5",
"name": "GPT-4o Generator: Vista lateral",
"type": "n8n-nodes-base.httpRequest",
"position": [
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"parameters": {
"url": "https://api.piapi.ai/v1/chat/completions",
"method": "POST",
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"typeVersion": 4.2
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{
"id": "8fd1fb74-a149-4af6-9da5-e0dc3daa91c9",
"name": "Obtener URL de imagen de vista frontal",
"type": "n8n-nodes-base.code",
"position": [
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"parameters": {
"jsCode": "const chunks = $input.first().json.data.split('\\n\\n');\n\nlet imageUrl = null;\n\nfor (let i = chunks.length - 1; i >= 0; i--) {\n const chunk = chunks[i];\n \n if (!chunk.startsWith('data: ')) continue;\n \n try {\n const jsonStr = chunk.substring(6); \n if (jsonStr.trim() === '[DONE]') continue;\n \n const data = JSON.parse(jsonStr);\n \n\n if (data.choices && data.choices[0].delta.content) {\n const content = data.choices[0].delta.content;\n const urlMatch = content.match(/!\\[.*?\\]\\((https?:\\/\\/[^\\s]+)\\)/);\n \n if (urlMatch && urlMatch[1]) {\n imageUrl = urlMatch[1];\n break;\n }\n }\n } catch (e) {\n continue;\n }\n}\n\nreturn {\n image_url: imageUrl,\n finish_reason: imageUrl ? \"success\" : \"not_found\"\n};"
},
"typeVersion": 2
},
{
"id": "b5b41a20-aba1-4fbb-aaf9-47d18a38a727",
"name": "Obtener URL de imagen de vista lateral",
"type": "n8n-nodes-base.code",
"position": [
-800,
320
],
"parameters": {
"jsCode": "const chunks = $input.first().json.data.split('\\n\\n');\n\nlet imageUrl = null;\n\n// 反向遍历 chunks (从最新数据开始检查)\nfor (let i = chunks.length - 1; i >= 0; i--) {\n const chunk = chunks[i];\n \n if (!chunk.startsWith('data: ')) continue;\n \n try {\n const jsonStr = chunk.substring(6); // 去掉 \"data: \" 前缀\n if (jsonStr.trim() === '[DONE]') continue;\n \n const data = JSON.parse(jsonStr);\n \n // 检查是否包含图片标记(Markdown 图片语法)\n if (data.choices && data.choices[0].delta.content) {\n const content = data.choices[0].delta.content;\n const urlMatch = content.match(/!\\[.*?\\]\\((https?:\\/\\/[^\\s]+)\\)/);\n \n if (urlMatch && urlMatch[1]) {\n imageUrl = urlMatch[1];\n break;\n }\n }\n } catch (e) {\n continue;\n }\n}\n\nreturn {\n image_url: imageUrl,\n finish_reason: imageUrl ? \"success\" : \"not_found\"\n};"
},
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"id": "6428385c-19ac-478c-af87-904de1e35b61",
"name": "Verificar estado de generación de vista frontal",
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"rightValue": "not_found"
}
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}
},
"typeVersion": 2.2
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{
"id": "395dbc5c-89e7-4eb7-a726-617250ebd02f",
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio - Diseño, Inteligencia Artificial
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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