Whether to save the model using safetensors or the traditional PyTorch way with pickle.    Save the LoRA parameters corresponding to the UNet and text encoder.  StableDiffusionXLInstructPix2PixPipeline  class diffusers.StableDiffusionXLInstructPix2PixPipeline  < source > ( vae: AutoencoderKL text_encoder: CLIPTextModel text_encoder_2: CLIPTextModelWithProjection tokenizer: CLIPTokenizer tokenizer_2: CLIPTokenizer unet: UNet2DConditionModel scheduler: KarrasDiffusionSchedulers force_zeros_for_empty_prompt: bool = True add_watermarker: Optional = None  )   Parameters   vae (AutoencoderKL) —