wing are supported: Just-In-Time (JIT) compilation Automatic Differentiation Vectorization Parallelization  FlaxUNet2DConditionOutput  class diffusers.models.unet_2d_condition_flax.FlaxUNet2DConditionOutput  < source > ( sample: Array  )   Parameters   sample (jnp.ndarray of shape (batch_size, num_channels, height, width)) —
The hidden states output conditioned on encoder_hidden_states input. Output of last layer of model.    The output of Flax