FloatTensor) —
The noisy input tensor with the following shape (batch, num_frames, channel, height, width.   timestep (torch.FloatTensor or float or int) — The number of timesteps to denoise an input.   encoder_hidden_states (torch.FloatTensor) —
The encoder hidden states with shape (batch, sequence_length, feature_dim).
timestep_cond — (torch.Tensor, optional, defaults to None):
Conditional embeddings for timestep. If provided, the embeddings 