Fine Tuning Flux.1-dev Model
Let’s take a look at how to fine-tune a Flux.1-dev model. Flux.1 is an impressive image generation model from https://blackforestlabs.ai/ that has instantly become one of the most prominent image generation models. One significant benefit is that it can be fine-tuned with just a few images.
For fine-tuning, you need a set of images to use for training. In this case, we aim to leverage Flux's powerful generalization capabilities and train it to generate images of Oscar in various styles and scenarios. For our training, we used 11 images of Oscar. You can view the dataset here.
Consistent Iconic Features: Ensure all images include consistent, iconic features. In our case, this could be Oscar's "color" or "raccoon look." In other instances, iconic features might include eye color, clothing, hairstyle, or hair color.
Variants in Poses and Expressions: Include images with diverse poses and expressions, camera angles, and body positions. You may incorporate various art styles, but do not alter the iconic features defined in point one.
