dels.transformer_2d.Transformer2DModelOutput

<
source
>
(
sample: FloatTensor

)


Parameters 

sample (torch.FloatTensor of shape (batch_size, num_channels, height, width) or (batch size, num_vector_embeds - 1, num_latent_pixels) if Transformer2DModel is discrete) —
Hidden states conditioned on encoder_hidden_states input. If discrete, returns probability distributions
for the unnoised latent pixels.




PriorTransformer
	

class diffusers.Pr