ates.  get_guidance_scale_embedding  < source > ( w embedding_dim = 512 dtype = torch.float32  ) → torch.FloatTensor  Parameters   timesteps (torch.Tensor) —
generate embedding vectors at these timesteps   embedding_dim (int, optional, defaults to 512) —
dimension of the embeddings to generate
dtype —
data type of the generated embeddings   Returns 
torch.FloatTensor
  
Embedding vectors with shape (len(timesteps), embedding_dim)
  See https://