How to Generate Unlimited AI Images in n8n (Free FLUX Workflow)
🔥 A complete, hands-on tutorial showing how to import a workflow into n8n 2.1 that generates images for free and without limits using the FLUX model, with advanced parameter control and perfect synchronization between text and image.
🔥 The video demonstrates how to build a fully automated system in n8n capable of receiving long texts, intelligently breaking the content into chunks, and generating unique images for each text segment, ensuring semantic alignment, visual coherence, and continuous narrative flow.
🔥 The workflow uses advanced text-chunking logic, where each piece of content is analyzed, transformed into an exclusive prompt, and sent to the FLUX model via the Together API—allowing high-quality image generation with just a symbolic $5 credit, with no practical usage limits.
🔥 The entire process runs completely inside n8n, with no reliance on external interfaces, no manual prompt writing, and no need for additional graphic tools. Each image is generated automatically, properly named, and saved to a local folder, ready for use in videos, visual storytelling, or editing pipelines.
🔥 The workflow is designed to handle large texts efficiently, splitting content precisely, preserving the correct order, avoiding word breaks, and ensuring that each image represents exactly the corresponding portion of the original text.
The goal of this tutorial is to demonstrate:
✔ How to import workflows correctly in n8n version 2
✔ How to build an automated image-generation system with FLUX
✔ How to split large texts into intelligent chunks inside n8n
✔ How to generate unique prompts for each part of the text
✔ How to perfectly synchronize text and image in narrative workflows
✔ How to generate unlimited images at low cost using the Together API
✔ How to automatically save images to local folders
✔ How to structure professional workflows for video, storytelling, and visual automation
Tech stack used in this video:
✔ n8n version 2 (self-hosted)
✔ Form Trigger / Form Input
✔ AI Agent + Code Nodes (text processing, chunking, and prompt logic)
✔ FLUX model (image generation)
✔ Together API (serverless)
✔ Automatic image saving to a local folder
✔ Docker Desktop on Windows
✔ Integration with video pipelines (FFmpeg-ready)
⚠️ Important note:
For this workflow to function correctly, n8n version 2 must be properly installed and configured in a local or Docker environment. On our channel, we provide a dedicated video that walks step by step through the correct installation and setup of n8n v2 on Windows.
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