tensors", adapter_name="feng")

pipeline.set_adapters(["ikea", "feng"], adapter_weights=[0.7, 0.8]) Fuse these LoRAs into the UNet with the fuse_lora() method. 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.   Copied pipeline.fuse_lora(