{
  "workflow": {
    "id": 6809,
    "name": "Generate videos from text descriptions using Wan 2.2 T2V Fast and Replicate",
    "views": 1508,
    "recentViews": 1,
    "totalViews": 1508,
    "createdAt": "2025-08-01T14:14:22.623Z",
    "description": "This workflow provides automated access to the Wan Video Wan 2.2 T2V Fast AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for video generation tasks within your n8n automation workflows.\n\n## Overview\n\nThis workflow automatically handles the complete video generation process using the Wan Video Wan 2.2 T2V Fast model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation.\n\n**Model Description**: A very fast and cheap PrunaAI optimized version of Wan 2.2 A14B text-to-video\n\n## Key Capabilities\n\n- **AI-powered video generation and processing**\n- **High-quality video synthesis from inputs**\n- **Advanced video manipulation capabilities**\n- **Fast, optimized processing for quick results**\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Replicate API**: Access to the Wan Video/wan-2.2-t2v-fast AI model\n- **Wan Video Wan 2.2 T2V Fast**: The core AI model for video generation\n- **Built-in Error Handling**: Automatic retry logic and comprehensive error management\n\n## How to Install\n\n1. **Import the Workflow**: Download the .json file and import it into your n8n instance\n2. **Configure Replicate API**: Add your Replicate API token to the 'Set API Token' node\n3. **Customize Parameters**: Adjust the model parameters in the 'Set Video Parameters' node\n4. **Test the Workflow**: Run the workflow with your desired inputs\n5. **Integrate**: Connect this workflow to your existing automation pipelines\n\n## Use Cases\n\n- **Video Content Creation**: Generate videos for social media, marketing, and presentations\n- **Animation & Motion Graphics**: Create animated content and visual effects\n- **Video Editing**: Enhance and transform existing video content\n- **Educational Content**: Produce instructional and explainer videos\n\n## Connect with Me\n\n- **Website**: https://www.nofluff.online\n- **YouTube**: https://www.youtube.com/@YaronBeen/videos\n- **LinkedIn**: https://www.linkedin.com/in/yaronbeen/\n- **Get Replicate API**: https://replicate.com (Sign up to access powerful AI models)\n\n#n8n #automation #ai #replicate #aiautomation #workflow #nocode #videogeneration #aivideo #videoai #motion #videoautomation #videocreation #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation",
    "workflow": {
      "meta": {
        "instanceId": "65350a60-dd89-44bb-b5ac-6936a0c03e0f",
        "model_name": "wan-2.2-t2v-fast",
        "model_type": "video",
        "version_id": "17eacc978d91e78a88d808d66d3bc7cbc7f8a2248ace0c48cab8105ad1a68509",
        "model_owner": "wan-video",
        "generated_at": "2025-08-01T14:50:46.569212"
      },
      "name": "wan-video/wan-2.2-t2v-fast - Video Generator",
      "nodes": [
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                  "name": "api_token",
                  "type": "string",
                  "value": "={{ $('Set API Token').item.json.api_token }}"
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                  "name": "seed",
                  "type": "number",
                  "value": -1
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                {
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                  "type": "string",
                  "value": "A person walking through a magical forest with glowing particles"
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                  "type": "boolean",
                  "value": true
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                  "value": 81
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            "sendBody": true,
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            "specifyBody": "json",
            "headerParameters": {
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                {
                  "name": "Authorization",
                  "value": "=Bearer {{ $json.api_token }}"
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          "name": "Check Status",
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          "parameters": {
            "url": "=https://api.replicate.com/v1/predictions/{{ $('Create Video Prediction').item.json.id }}",
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                  "rightValue": "succeeded"
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          "parameters": {
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            "assignments": {
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                  "type": "object",
                  "value": "={{ { success: true, video_url: $json.output, prediction_id: $json.id, status: $json.status, message: 'Video generated successfully' } }}"
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                  "type": "object",
                  "value": "={{ { success: false, error: $json.error || 'Video generation failed', prediction_id: $json.id, status: $json.status, message: 'Failed to generate video' } }}"
                }
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                  "name": "final_result",
                  "type": "object",
                  "value": "={{ $json.response }}"
                }
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          "name": "Log Request",
          "type": "n8n-nodes-base.code",
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          "parameters": {
            "jsCode": "// Log generation details for monitoring\nconst data = $input.all()[0].json;\n\nconsole.log('wan-video/wan-2.2-t2v-fast Request:', {\n  timestamp: new Date().toISOString(),\n  prediction_id: data.id,\n  model_type: 'video'\n});\n\nreturn $input.all();"
          },
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        },
        {
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          "name": "Sticky Note9",
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            "content": "=======================================\n        WAN-2.2-T2V-FAST GENERATOR\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n======================================="
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            "content": "## 🤖 **WAN-VIDEO/WAN-2.2-T2V-FAST - VIDEO GENERATION WORKFLOW**\n\n**🔥 Powered by Replicate API and n8n Automation**\n\n---\n\n### 📝 **Model Overview**\n\n- **Owner**: wan-video\n- **Model**: wan-2.2-t2v-fast\n- **Type**: Video Generation\n- **API Endpoint**: https://api.replicate.com/v1/predictions\n\n**🎯 What This Model Does:**\nA very fast and cheap PrunaAI optimized version of Wan 2.2 A14B text-to-video\n\n---\n\n### 📋 **Parameter Reference**\n\n**🔴 Required Parameters:** prompt\n**🔵 Optional Parameters:** seed, go_fast, num_frames, resolution, aspect_ratio, sample_shift, frames_per_second\n\n**📖 Detailed Parameter Guide:**\n- **seed** (integer): Random seed. Leave blank for random\n- **prompt** (string): Prompt for video generation\n- **go_fast** (boolean): Go fast (Default: True)\n- **num_frames** (integer): Number of video frames. 81 frames give the best results (Default: 81)\n- **resolution** (string): Resolution of video. 16:9 corresponds to 832x480px, and 9:16 is 480x832px (Default: 480p)\n- **aspect_ratio** (string): Aspect ratio of video. 16:9 corresponds to 832x480px, and 9:16 is 480x832px (Default: 16:9)\n- **sample_shift** (number): Sample shift factor (Default: 12)\n- **frames_per_second** (integer): Frames per second. Note that the pricing of this model is based on the video duration at 16 fps (Default: 16)\n\n---\n\n### 🔧 **Workflow Components Explained**\n\n**🎯 Manual Trigger**\n- Starts the workflow execution\n- Click to begin video generation process\n\n**🔐 Set API Token** \n- Configures your Replicate API authentication\n- Replace 'YOUR_REPLICATE_API_TOKEN' with your actual token\n- Essential for accessing the wan-video/wan-2.2-t2v-fast model\n\n**⚙️ Set Video Parameters**\n- Configures all input parameters for the model\n- Includes both required and optional parameters\n- Pre-filled with sensible defaults for testing\n\n**🚀 Create Video Prediction**\n- Sends the generation request to Replicate API\n- Uses the video parameters you configured\n- Returns a prediction ID for status tracking\n\n**⏳ Wait & Status Checking Loop**\n- Waits 5 seconds then checks prediction status\n- Continues checking until completion or failure\n- Implements intelligent retry logic with 10-second delays\n\n**✅ Success/Error Handling**\n- Routes successful completions to success response\n- Handles failures gracefully with error details\n- Returns structured JSON response with URLs/errors\n\n**📊 Logging & Monitoring**\n- Logs all requests for debugging and monitoring\n- Tracks timestamps and prediction IDs\n- Helps identify issues during development\n\n---\n\n### 🌟 **Key Benefits**\n\n- **🎨 Instant Video Generation**: Transform ideas into videos using state-of-the-art AI\n- **🔄 Automated Workflow**: Handles the complete generation pipeline automatically\n- **🛡️ Error Resilience**: Built-in retry logic and comprehensive error handling\n- **📈 Production Ready**: Includes logging, monitoring, and structured responses\n- **🔧 Customizable**: Easy to modify parameters and extend functionality\n- **⚡ Efficient Processing**: Optimized API calls with intelligent status checking\n\n---\n\n### 🚀 **Quick Start Instructions**\n\n1. **🔑 Get Your API Key**\n   - Sign up at https://replicate.com\n   - Navigate to your account settings\n   - Copy your API token\n\n2. **🔧 Configure the Workflow**\n   - Replace 'YOUR_REPLICATE_API_TOKEN' with your actual token\n   - Adjust parameters in the 'Set Video Parameters' node\n   - Customize the prompt or other inputs as needed\n\n3. **▶️ Execute the Workflow**\n   - Click the 'Manual Trigger' to start\n   - Monitor the execution in the n8n interface\n   - Check logs for detailed execution information\n\n4. **📥 Get Your Results**\n   - Successful generations return a URL to your video\n   - Download or use the generated content as needed\n   - Results are available immediately upon completion\n\n---\n\n### 🔍 **Troubleshooting Guide**\n\n**Common Issues:**\n- **Invalid API Token**: Ensure your Replicate token is valid and has sufficient credits\n- **Parameter Validation**: Check that required parameters match expected types\n- **Generation Timeout**: Some videos take longer - monitor the logs\n- **Output Format**: Verify the model returns the expected output format\n\n**Best Practices:**\n- Test with default parameters first\n- Monitor your Replicate usage and billing\n- Keep API tokens secure and never commit them to code\n- Use appropriate parameter values for your use case\n\n---\n\n**🔗 Additional Resources:**\n- Model Documentation: https://replicate.com/wan-video/wan-2.2-t2v-fast\n- Replicate API Docs: https://replicate.com/docs\n- n8n Documentation: https://docs.n8n.io\n\n---"
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    "status": "published",
    "user": {
      "name": "Yaron Been",
      "username": "yaron-nofluff",
      "bio": "Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos",
      "verified": true,
      "links": [
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            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 31,
        "name": "Content Creation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}