(self, dim, num_attention_heads, attention_head_dim, dropout=0.0, cross_attention_dim=None, attention_

( x: torch.Tensor, freqs_cis: Union[torch.Tensor, Tuple[torch.Tensor]], )

( # https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py#L69

(self, patch_size, in_channels, embed_dim, bias=True)

(self, embedding_dim)

(self, dim, dim_out=None, mult=4, inner_dim=None, bias=True)

(self, dim: int, eps=1e-6)

(self, q_dim, kv_dim=None, heads=8, dim_head=64, dropout=0.0, bias=False)

(self, in_channels, out_channels, num_attention_heads, attention_head_dim, depth, patch_size=2, dropou

(self, x)

(self, x, timestep, seq_len_list=None)

(self, hidden_states)

(self, x: torch.Tensor)

( self, inputs_q, inputs_kv, attention_mask=None, cross_attention=Fals

( self, hidden_states, encoder_hidden_states=None, encoder_attention_mask=None

(self, hidden_states, encoder_hidden_states, timestep, rope_pos_embed, encoder_attention_mask)