Block 1 - On clicking 'execute'
- 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.
Generate Videos from Images with Wan 2.2 I2V A14B AI Model Overview This workflow connects n8n with Replicate’s Wan Video model to generate video content from an image + prompt . It handles: ...
n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.wait, n8n-nodes-base.if, 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 connects n8n with Replicate’s Wan-Video model to generate video content from an image + prompt. It handles:
🔗 Nodes: 1️⃣ On clicking 'execute' (Manual Trigger) ▶️ Starts the workflow manually when you click Execute Workflow.
2️⃣ Set API Key 🔑 Stores your Replicate API Key securely inside n8n.
YOUR_REPLICATE_API_KEY💡 Beginner Benefit: ✅ No need to hardcode API keys in every request ✅ Easy to swap keys for different accounts
🔗 Nodes:
3️⃣ Create Prediction (HTTP Request)
📤 Sends a request to Replicate API → /v1/predictions
Model: wan-video/wan-2.2-i2v-a14b
Input Parameters:
prompt → your text descriptionimage → input video/image URLseed → reproducibilitynum_frames → 81 framessample_shift → 5sample_steps → 30frames_per_second → 164️⃣ Extract Prediction ID (Code) 🆔 Pulls out the prediction ID + status from Replicate’s response. This ID is needed for polling until the video finishes generating.
💡 Beginner Benefit: ✅ Automates the API call to generate video ✅ Extracts ID → avoids manual copy-paste
🔗 Nodes: 5️⃣ Wait (2 sec) ⏳ Adds a short delay before checking progress.
6️⃣ Check Prediction Status (HTTP Request)
🔄 Calls Replicate API → /v1/predictions/{id}
7️⃣ Check If Complete (IF Node)
❓ Compares status → succeeded or not
💡 Beginner Benefit: ✅ Automatic re-checking → you don’t need to refresh manually ✅ Works until result is ready
🔗 Nodes: 8️⃣ Process Result (Code) 📥 Once complete, extracts:
Final output = direct video URL you can download/share 🎥
| Section | What Happens | Why It’s Useful |
|---|---|---|
| 🟢 Auth | Manual Trigger + API Key | Secure, easy start |
| 🔵 Send | Create Prediction + Extract ID | Kicks off video generation |
| 🟣 Poll | Wait + Check Status + IF | Auto-checks progress until done |
| 🟡 Result | Process Result | Gives final video link + metadata |
✨ With this workflow, you’ve got a personal AI video generator inside n8n — all you need to do is provide a prompt + input image/video, and you’ll get a fresh AI video link back.
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 images with Wan 2.2 I2V A14B AI model |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Content Creation, Multimodal AI |
| Author | Yaron Been |
| Published | 04 Aug 2025 |
Use the JSON export at /data/workflows/6966/6966.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.
Generate Videos from Images with Wan 2.2 I2V A14B AI Model Overview This workflow connects n8n with Replicate’s Wan Video model to generate video content from an image + prompt . It handles: ...
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.