Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

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

1. Workflow Overview

Best for

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

Tools used

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

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: Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate
Workflow name: Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate

This workflow provides automated access to the Ibm Granite Granite Vision 3.3 2B 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 image generation tasks within your n8n automation workflows.

Overview

This workflow automatically handles the complete image generation process using the Ibm Granite Granite Vision 3.3 2B 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: Granite-vision-3.3-2b is a compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infograph...

Key Capabilities

High-quality image generation from text prompts
Advanced AI-powered visual content creation
Customizable image parameters and styles

Tools Used

n8n: The automation platform that orchestrates the workflow
Replicate API: Access to the Ibm Granite/granite-vision-3.3-2b AI model
Ibm Granite Granite Vision 3.3 2B: The core AI model for image generation
Built-in Error Handling: Automatic retry logic and comprehensive error management

How to Install

Import the Workflow: Download the .json file and import it into your n8n instance
Configure Replicate API: Add your Replicate API token to the 'Set API Token' node
Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node
Test the Workflow: Run the workflow with your desired inputs
Integrate: Connect this workflow to your existing automation pipelines

Use Cases

Content Creation: Generate unique images for blogs, social media, and marketing materials
Design Prototyping: Create visual concepts and mockups for design projects
Art & Creativity: Produce artistic images for personal or commercial use
Marketing Materials: Generate eye-catching visuals for campaigns and advertisements

Connect with Me

Website: https://www.nofluff.online
YouTube: https://www.youtube.com/@YaronBeen/videos
LinkedIn: https://www.linkedin.com/in/yaronbeen/
Get Replicate API: https://replicate.com (Sign up to access powerful AI models)

#n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

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 - Manual Trigger

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

Block 2 - Set API Token

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

Block 3 - Set Image Parameters

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

Block 4 - Create Image Prediction

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.1

Block 5 - Wait 5s

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

Block 6 - Check Status

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.1

Block 7 - Is Complete?

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

Block 8 - Has Failed?

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

Block 9 - Wait 10s

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

Block 10 - Success Response

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

Block 11 - Error Response

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

Block 12 - Display Result

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

Block 13 - Log Request

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

Block 14 - Sticky Note9

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

Block 15 - Sticky Note4

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

3. Summary Table

Workflow	Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate
Complexity	advanced
Nodes	15
Categories	Content Creation, Multimodal AI
Author	Yaron Been
Published	02 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6847/6847.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate do?

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.

Yaron Been

180 workflows

Nodes

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

Complexity

advanced

Published 02 Aug 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6847/6847.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send daily LinkedIn post drafts with Tavily, Groq Llama 3.3 and Gmail

## Quick overview This workflow runs daily at 8 AM to rotate through a topic list, research it with Tavily web search, generate a LinkedIn post and image prompt with Groq (Llama 3.3 70B), create a Pollinations.ai image URL, and email you the post with the image attached via Gmail. ## How it works 1. Runs every day at 8:00 AM on a schedule. 2. Selects today’s topic from a rotating list based on the day of the year. 3. Searches the web with Tavily to fetch up-to-date results for the selected topic. 4. Uses a Groq-hosted Llama model to write a LinkedIn post and a matching image prompt grounded in the Tavily results. 5. Builds a Pollinations.ai image generation URL from the image prompt and downloads the generated image file. 6. Emails the post text with the image attached via Gmail, and sends a text-only fallback email if image generation or download fails. ## Setup 1. Add a Groq API credential to the Groq Chat Model node. 2. Create a Tavily API key and configure HTTP Header Auth with `Authorization: Bearer <YOUR_TAVILY_KEY>` for the Tavily Search request. 3. Connect a Gmail OAuth2 credential and update the recipient email address in both Gmail send steps. 4. Edit the topic list in the topic-selection code step if you want different rotating themes. ## Requirements - Groq API key (free tier available) - Tavily API key (free tier — 1,000 searches/month) - Gmail account (OAuth2) ## Customization - Edit the topic list inside the "Pick Today's Topic" code node to change what subjects the post rotates through. - Change the Groq model in the "Groq Chat Model" node if you want a different LLM (e.g. a smaller/faster or larger Groq model). - Adjust the schedule trigger if you want a different posting time, or swap the Gmail "send to" address to deliver the draft to someone else for review. ## Additional info This workflow emails you a draft for manual review before posting — it does not post to LinkedIn automatically. If image generation fails, a text-only fallback email is sent instead so you never miss the post text.

View

Generate VEO3 videos from form ideas with ChatGPT, fal.ai, Drive and Gmail

## Quick overview This workflow collects a video idea via an n8n Form, uses OpenAI to turn it into an optimized prompt, generates an 8-second VEO3 video with native audio via fal.ai, saves the MP4 to Google Drive, and emails the Drive link via Gmail. ## How it works 1. Receives a submission from an n8n Form with the requester’s email, a plain-English video idea, and a selected style. 2. Uses OpenAI (via an AI Agent) to convert the idea and style into a structured VEO3 title and detailed prompt returned as JSON. 3. Cleans and parses the AI JSON, creates a filename-safe title, and sets the generation parameters to 16:9 and 8 seconds. 4. Submits the prompt to fal.ai’s queue endpoint for the fal-ai/veo3 model and gets a request ID. 5. Polls fal.ai every 30 seconds until the job status returns COMPLETED. 6. Retrieves the final MP4 URL from fal.ai, downloads the video, uploads it to Google Drive, and emails the Google Drive web link to the requester via Gmail. ## Setup 1. Create a fal.ai account, generate an API key, and replace `YOUR_FAL_AI_API_KEY` in the fal.ai HTTP request headers. 2. Add an OpenAI API credential in the OpenAI Chat Model node and select the model you want to use. 3. Connect Google Drive OAuth2 and replace `YOUR_GDRIVE_FOLDER_ID` with the target folder ID where videos should be saved. 4. Connect Gmail OAuth2 for sending emails, then activate the workflow and use the Form URL (path `veo3-video-generator`) to submit requests.

View

Generate presentation decks from prompts with Encelade

## Quick overview This workflow starts a presentation generation job in Encelade from a prompt and outline hints, polls Encelade for completion, and outputs the finished deck link (or stops with an error if generation fails). ## How it works 1. Starts when you manually execute the workflow in n8n. 2. Sends the topic, slide count, audience, tone, theme settings, and outline hints to Encelade to generate a 6-slide presentation. 3. Waits 20 seconds and then checks the Encelade session status using the returned session ID. 4. If the session phase is not finished, it keeps waiting and rechecking until the phase changes. 5. When the phase is "done", it returns the generated deck link and project PID. 6. When the phase is "failed", it stops the workflow and raises an error with the failure details. ## Setup 1. Install and configure Encelade credentials in n8n for the Encelade node. 2. Update the generation inputs (topic, page count, outline hints, audience/tone, theme mode, and media provider) to match the deck you want to create. 3. Ensure the workflow has enough time to complete by adjusting the 20-second wait interval if your Encelade generations typically take longer.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Generate AI-powered images using IBM Granite Vision 3.3 2B with Replicate

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

Key Capabilities

Tools Used

How to Install

Use Cases

Connect with Me

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Manual Trigger

Block 2 - Set API Token

Block 3 - Set Image Parameters

Block 4 - Create Image Prediction

Block 5 - Wait 5s

Block 6 - Check Status

Block 7 - Is Complete?

Block 8 - Has Failed?

Block 9 - Wait 10s

Block 10 - Success Response

Block 11 - Error Response

Block 12 - Display Result

Block 13 - Log Request

Block 14 - Sticky Note9

Block 15 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions