# ErnieImageTransformer2DModel

A Transformer model for image-like data from [ERNIE-Image](https://huggingface.co/baidu/ERNIE-Image).

A Transformer model for image-like data from [ERNIE-Image-Turbo](https://huggingface.co/baidu/ERNIE-Image-Turbo).

## ErnieImageTransformer2DModel[[diffusers.ErnieImageTransformer2DModel]]

- **hidden_states** (`torch.Tensor` of shape `(batch_size, in_channels, height, width)`) --
  Input `hidden_states`.
- **timestep** (`torch.LongTensor`) --
  Used to indicate denoising step.
- **text_bth** (`torch.Tensor`) --
  Conditional text embeddings (embeddings computed from the input conditions such as prompts) to use,
  shaped `(batch_size, text_length, embed_dims)`.
- **text_lens** (`torch.Tensor`) --
  Per-sample text sequence lengths used to build the attention mask.
- **return_dict** (`bool`, *optional*, defaults to `True`) --
  Whether or not to return a `~models.transformer_2d.Transformer2DModelOutput` instead of a plain
  tuple.

The [ErnieImageTransformer2DModel](/docs/diffusers/main/en/api/models/ernie_image_transformer2d#diffusers.ErnieImageTransformer2DModel) forward method.