Fine-tune FLUX.1 with an API

What this post added

This post details the technical process of programmatically fine-tuning FLUX.1 models using Replicate's HTTP API. It outlines the steps involved: gathering and zipping training images, setting up the `REPLICATE_API_TOKEN` environment variable, creating a destination model using the `models.create` API endpoint, uploading training data via the Files API, and initiating the training job by making a POST request to the `versions/d995297071a44dcb72244e6c19462111649ec86a9646c32df56daa7f14801944/trainings` endpoint with `input_images` and `trigger_word` as parameters. It also explains how to monitor training status and retrieve the output weights URL.