sed to distinguish between text
encoder lora layers.   network_alphas (Dict[str, float]) —
See LoRALinearLayer for more details.   unet (UNet2DConditionModel) —
The UNet model to load the LoRA layers into.   low_cpu_mem_usage (bool, optional, defaults to True if torch version >= 1.9.0 else False) —
Speed up model loading only loading the pretrained weights and not initializing the weights. This also
tries to not use more than 1x model size in C