Fine-tune FLUX.1 with an API

This post introduces the ability to programmatically fine-tune FLUX.1 image generation models using Replicate's HTTP API. It details the prerequisites, gathering and zipping training images, setting the API token, creating a destination model via API, uploading training data using the Files API, and initiating the training process with specific inputs like input_images and trigger_word. It also explains how to check training status, retrieve LoRA weights, and generate images using the fine-tuned model via the web playground and API.