).to("cuda") Next, load the LoRA checkpoint and fuse it with the original weights. The lora_scale parameter controls how much to scale the output by with the LoRA weights. It is important to make the lora_scale adjustments in the fuse_lora() method because it won’t work if you try to pass scale to the cross_attention_kwargs in the pipeline. If you need to reset the original model weights for any reason (use a different lora_scale), you should use the unfuse_lora() method.   Copied pipeline.load_lora_weights("ostris/ikea-instructions-lora-sdxl")