Block 1 - Manual Trigger
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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 provi...
n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.code, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.
Original n8n.io sourceThis 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.
This 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.
Model Description: A very fast and cheap PrunaAI optimized version of Wan 2.2 A14B text-to-video
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This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate videos from text descriptions using Wan 2.2 T2V Fast and Replicate |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Content Creation, Multimodal AI |
| Author | Yaron Been |
| Published | 01 Aug 2025 |
Use the JSON export at /data/workflows/6809/6809.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 provi...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.