write_basic_config() Lastly, if you want to train a model on your own dataset, take a look at the Create a dataset for training guide to learn how to create a dataset that works with the training script. The following sections highlight parts of the training script that are important for understanding how to modify it, but it doesn’t cover every aspect of the script in detail. If you’re interested in learning more, feel free to read through the script and let us know if you have any questions or concerns.  Script parameters DreamBooth is very sensitive to training hyperparameters, and it is easy to overfit. Read the Training Stable Diffusion with Dreambooth using 🧨 Diffusers blog post for recommended settings for different subjects to help you choose the appropriate hyperparameters. The training script offers many parameters for customizing your training run. All of the parameters and their descriptions are found in the parse_args() function. The parameters are set with default values that should work pretty well out-of-the-box, but you can also set your own values in the training command if you’d like. For example, to train in the bf16 format:   Copied accelerate launch train_dreambooth.py \