ultiple LoRAs is to specify the adapter_name parameter in load_lora_weights(). This method takes advantage of the 🤗 PEFT integration. For example, load and name both LoRA weights:   Copied from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipeline.load_lora_weights("ostris/ikea-instructions-lora-sdxl", weight_name="