Generate High-Quality Images with Replicate's Fire/Flux AI Model

Fire Flux Image Generator

Description The image generation model tailored for local development and personal use

Overview This n8n workflow integrates with the Replicate API to use the fire/flux model. This powerful AI model can generate high-quality image content based on your inputs.

Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting

Parameters Required Parameters

prompt** (string): Prompt for generated image

Optional Parameters

seed** (integer, default: 0): Random seed. Set for reproducible generation go_fast** (boolean, default: True): Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16 megapixels** (string, default: 1): Approximate number of megapixels for generated image num_outputs** (integer, default: 1): Number of outputs to generate aspect_ratio** (string, default: 2:1): Aspect ratio for the generated image output_format** (string, default: png): Format of the output images output_quality** (integer, default: 80): Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs num_inference_steps** (integer, default: 4): Number of denoising steps. 4 is recommended, and lower number of steps produce lower quality outputs, faster. disable_safety_checker** (boolean, default: False): Disable safety checker for generated images.

How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate image content Access the generated output from the final node

API Reference Model: fire/flux API Endpoint: https://api.replicate.com/v1/predictions

Requirements Replicate API key n8n instance Basic understanding of image generation parameters

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beginner
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Author:Yaron Been(View Original →)
Created:8/13/2025
Updated:9/4/2025

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