LTXVideoTransformer3DModel  
A Transformer model for video-like data used in [LTX](https://huggingface.co/Lightricks/LTX-Video).  
Args:
in_channels (`int`, defaults to `128`):
The number of channels in the input.
out_channels (`int`, defaults to `128`):
The number of channels in the output.
patch_size (`int`, defaults to `1`):
The size of the spatial patches to use in the patch embedding layer.
patch_size_t (`int`, defaults to `1`):
The size of the tmeporal patches to use in the patch embedding layer.
num_attention_heads (`int`, defaults to `32`):
The number of heads to use for multi-head attention.
attention_head_dim (`int`, defaults to `64`):
The number of channels in each head.
cross_attention_dim (`int`, defaults to `2048 `):
The number of channels for cross attention heads.
num_layers (`int`, defaults to `28`):
The number of layers of Transformer blocks to use.
activation_fn (`str`, defaults to `"gelu-approximate"`):
Activation function to use in feed-forward.
qk_norm (`str`, defaults to `"rms_norm_across_heads"`):
The normalization layer to use.
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/api/models/ltx_video_transformer3d.md