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Generate images with realistic inpainting using Simbrams Ri AI

n8nn8n8 modulesv1.0
codehttpRequestifmanualTriggersetwait

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: Store

At a glance

Generate images with realistic inpainting using Simbrams Ri AI is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects code, httpRequest, if, manualTrigger. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
code, httpRequest, if, manualTrigger, set, wait
Modules
8
Price
Free
Version
v1.0
Generate images with realistic inpainting using Simbrams Ri AI workflow diagram

About this workflow

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. ---

n8n

How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

Purchase to unlock the full step-by-step guide

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