use multiple LoRAs together to create something entirely new and unique. The fuse_lora() method allows you to fuse the LoRA weights with the original weights of the underlying model. Fusing the weights can lead to a speedup in inference latency because you don’t need to separately load the base model and LoRA! You can save your fused pipeline with save_pretrained() to avoid loading and fusing the weights every time you want to use the model. Lo