[Docs] Correct docs (huggingface#1554)

Author: patrickvonplaten

src/diffusers/models/unet_2d_condition.py

@@ -309,7 +309,7 @@ def forward(
         Args:
             sample (`torch.FloatTensor`): (batch, channel, height, width) noisy inputs tensor
             timestep (`torch.FloatTensor` or `float` or `int`): (batch) timesteps
-            encoder_hidden_states (`torch.FloatTensor`): (batch, channel, height, width) encoder hidden states
+            encoder_hidden_states (`torch.FloatTensor`): (batch, sequence_length, feature_dim) encoder hidden states
             return_dict (`bool`, *optional*, defaults to `True`):
                 Whether or not to return a [`models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain tuple.
 

src/diffusers/pipelines/versatile_diffusion/modeling_text_unet.py

@@ -387,7 +387,7 @@ def forward(
         Args:
             sample (`torch.FloatTensor`): (batch, channel, height, width) noisy inputs tensor
             timestep (`torch.FloatTensor` or `float` or `int`): (batch) timesteps
-            encoder_hidden_states (`torch.FloatTensor`): (batch, channel, height, width) encoder hidden states
+            encoder_hidden_states (`torch.FloatTensor`): (batch, sequence_length, feature_dim) encoder hidden states
             return_dict (`bool`, *optional*, defaults to `True`):
                 Whether or not to return a [`models.unet_2d_condition.UNet2DConditionOutput`] instead of a plain tuple.