rojection tokenizer: CLIPTokenizer tokenizer_2: CLIPTokenizer unet: UNet2DConditionModel controlnet: ControlNetXSModel scheduler: KarrasDiffusionSchedulers force_zeros_for_empty_prompt: bool = True add_watermarker: Optional = None  )   Parameters   vae (AutoencoderKL) —
Variational Auto-Encoder (VAE) model to encode and decode images to and from latent representations.   text_encoder (CLIPTextModel) —
Frozen text-encoder (clip-vit-large-patch14