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Enhance your workflow with 2Ndmoises_Generator AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Enhance Your Workflow with 2Ndmoises Generator AI This n8n workflow integrates with Replicate’s model to generate custom outputs based on your prompt. It handles authentication, triggers the predic...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

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

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.

Original n8n.io source

1.1 Workflow description

Title
Enhance your workflow with 2Ndmoises_Generator AI
Workflow name
Enhance your workflow with 2Ndmoises_Generator AI

Enhance Your Workflow with 2Ndmoises_Generator AI

This n8n workflow integrates with Replicate’s moicarmonas/2ndmoises_generator model to generate custom outputs based on your prompt. It handles authentication, triggers the prediction, monitors progress, and processes the final result automatically.


📌 Section 1: Trigger & Authentication

⚡ On Clicking ‘Execute’ (Manual Trigger)

  • Purpose: Start the workflow manually whenever you want to run it.
  • Benefit: Great for testing or running on-demand without needing automation.

🔑 Set API Key (Set Node)

  • Purpose: Stores your Replicate API key in the workflow.
  • How it works: Adds your API key as a variable that other nodes can reference.
  • Benefit: Keeps credentials secure and reusable.

📌 Section 2: Sending the AI Request

📤 Create Prediction (HTTP Request Node)

  • Purpose: Sends a request to the Replicate API to start generating output with the model.

  • Input Parameters:

    • prompt (text you provide)
    • seed (for reproducibility)
    • width / height / lora_scale (generation settings)
  • Benefit: Allows full customization of the AI’s generation process.

🆔 Extract Prediction ID (Code Node)

  • Purpose: Pulls out the Prediction ID and status from the API response.
  • Why important: The ID is required to check the job’s progress later.
  • Benefit: Automates polling without manual tracking.

📌 Section 3: Polling & Waiting

⏳ Wait (Wait Node)

  • Purpose: Adds a short pause (2 seconds) between checks.
  • Benefit: Prevents hitting the API too quickly and avoids errors.

🔄 Check Prediction Status (HTTP Request Node)

  • Purpose: Calls Replicate again to ask if the prediction is finished.
  • Benefit: Automates progress monitoring without manual refresh.

✅ Check If Complete (If Node)

  • Purpose: Decides whether the model has finished generating.

  • Paths:

    • True → Move on to processing the result.
    • False → Go back to Wait and recheck.
  • Benefit: Ensures the workflow loops until a final output is ready.


📌 Section 4: Handling the Result

📦 Process Result (Code Node)

  • Purpose: Cleans up the final API response and extracts:

    • Status
    • Output (generated result)
    • Metrics
    • Timestamps (created_at / completed_at)
    • Model info
  • Benefit: Provides a structured, ready-to-use output for other workflows or integrations.


📊 Workflow Overview Table

Section Node Name Purpose
1. Trigger & Auth On Clicking ‘Execute’ Starts the workflow manually
Set API Key Stores API credentials
2. AI Request Create Prediction Sends request to Replicate
Extract Prediction ID Gets prediction ID + status
3. Polling Wait Adds delay before recheck
Check Prediction Status Monitors progress
Check If Complete Routes based on completion
4. Result Process Result Extracts and cleans output
Notes Sticky Note Explains setup + model info

🎯 Key Benefits

  • 🔐 Secure authentication using Set node for API key storage.
  • 🤖 Hands-free generation — just provide a prompt, the workflow handles everything else.
  • 🔄 Automated polling ensures you always get the final result without manual checking.
  • 📦 Clean structured output ready for downstream use in apps, dashboards, or notifications.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - On clicking 'execute'

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Set API Key

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.3

Block 3 - Create Prediction

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Extract Prediction ID

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 5 - Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1

Block 6 - Check Prediction Status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 7 - Check If Complete

Type / Role
n8n-nodes-base.if - if
Config choices
Version 1

Block 8 - Process Result

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note9

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Enhance your workflow with 2Ndmoises_Generator AI
Complexity intermediate
Nodes 14
Categories Content Creation, Multimodal AI
Author Yaron Been
Published 03 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6943/6943.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Enhance your workflow with 2Ndmoises_Generator AI do?

Enhance Your Workflow with 2Ndmoises Generator AI This n8n workflow integrates with Replicate’s model to generate custom outputs based on your prompt. It handles authentication, triggers the predic...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.