This workflow automates the process of generating AI images using the ‘fire/flux’ model from Replicate, triggered manually through a ‘click to execute’ action. It involves setting up an API key, creating an image prediction via an HTTP request, polling for prediction status, and processing the final image URL once the prediction is successful. The sequence begins with a manual trigger, where the user can initiate image creation. It then sets the necessary API key, sends a prediction request with specific parameters, and extracts the prediction ID for status tracking. The workflow includes a wait node for a short delay before periodically checking the prediction status. When the prediction completes successfully, it processes the output, retrieving the generated image URL, which can be used for further integration or display. This setup is ideal for automating AI-based image generation tasks, such as creating custom graphics on demand or integrating AI images into websites or apps without manual intervention.
Automated AI Image Generation with Replicate and n8n
Node Count | 6 – 10 Nodes |
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Nodes Used | code, httpRequest, if, manualTrigger, set, stickyNote, wait |
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