dict) —
Additional keyword arguments to pass to the LoRALinearLayer layers.    Processor for implementing the LoRA attention mechanism using PyTorch 2.0’s memory-efficient scaled dot-product
attention.  CustomDiffusionAttnProcessor  class diffusers.models.attention_processor.CustomDiffusionAttnProcessor  < source > ( train_kv: bool = True train_q_out: bool = True hidden_size: Optional = None cross_attention_dim: Optional = None out_bias: bool =