ts, which can affect image quality. This guide will show you how to merge LoRAs using the set_adapters() and ~peft.LoraModel.add_weighted_adapter methods. To improve inference speed and reduce memory-usage of merged LoRAs, you’ll also see how to use the fuse_lora() method to fuse the LoRA weights with the original weights of the underlying model. For this guide, load a Stable Diffusion XL (SDXL) checkpoint and the KappaNeuro/studio-ghibli-style