Generate Images with Realistic Inpainting using Simbrams Ri AI

Last edited 58 days ago

Generate Images with Realistic Inpainting using Simbrams Ri AI

This n8n workflow integrates with Replicate’s simbrams/ri model to generate images. It takes an input image and mask, applies transformations based on your parameters, and returns the final generated output automatically.


📌 Section 1: Trigger & Authentication

⚡ On Clicking ‘Execute’ (Manual Trigger)

  • Purpose: Starts the workflow manually.
  • Benefit: Useful for testing and running on demand.

🔑 Set API Key (Set Node)

  • Purpose: Stores your Replicate API key inside the workflow.
  • Benefit: Keeps credentials secure and ensures other nodes can reuse them.

📌 Section 2: Sending the Image Generation Request

🖼️ Create Prediction (HTTP Request Node)

  • Purpose: Sends a POST request to Replicate’s API to start generating an image.

  • Input Parameters:

    • image: Input image URL
    • mask: Mask image URL
    • seed: Randomness control (for reproducibility)
    • steps: Number of refinement steps
    • strength: Intensity of modification (0–1)
    • blur_mask: Whether to blur the mask edges
    • merge_m_s: Whether to merge mask with source
  • Benefit: Gives full control over how the model modifies your image.

🆔 Extract Prediction ID (Code Node)

  • Purpose: Extracts the Prediction ID, status, and URL from Replicate’s response.
  • Benefit: Required to check the status of the generation later.

📌 Section 3: Polling & Waiting

⏳ Wait (Wait Node)

  • Purpose: Pauses the workflow for 2 seconds before rechecking.
  • Benefit: Prevents hitting Replicate’s API too quickly.

🔄 Check Prediction Status (HTTP Request Node)

  • Purpose: Checks whether the prediction is complete using the stored Prediction ID.
  • Benefit: Automates monitoring of job progress.

✅ Check If Complete (If Node)

  • Purpose: Decides if the prediction has finished.

  • Paths:

    • True → Sends result to processing.
    • False → Loops back to Wait and keeps checking.
  • Benefit: Ensures the workflow only ends when a valid image is ready.


📌 Section 4: Processing the Result

📦 Process Result (Code Node)

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

    • Status
    • Output (final generated image)
    • Metrics
    • Created & completed timestamps
    • Model name (simbrams/ri)
    • Final image URL
  • Benefit: Delivers a structured and ready-to-use result for display, storage, or further automation.


📊 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 image generation request

Extract Prediction ID

Extracts ID + status for tracking

3. Polling

Wait

Adds delay between checks

Check Prediction Status

Monitors job progress

Check If Complete

Routes based on job completion

4. Result

Process Result

Extracts and cleans the final output


🎯 Key Benefits

  • 🔐 Secure authentication with API key management.
  • 🖼️ Custom image generation with parameters like mask, strength, and steps.
  • 🔄 Automatic polling ensures results are fetched only when ready.
  • 📦 Clean structured output with final image URL for easy use.

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