HunyuanAttnProcessor2_0  
Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0). This is
used in the HunyuanDiT model. It applies a s normalization layer and rotary embedding on query and key vector.  
FusedHunyuanAttnProcessor2_0  
Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0) with fused
projection layers. This is used in the HunyuanDiT model. It applies a s normalization layer and rotary embedding on
query and key vector.  
PAGHunyuanAttnProcessor2_0  
Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0). This is
used in the HunyuanDiT model. It applies a normalization layer and rotary embedding on query and key vector. This
variant of the processor employs [Pertubed Attention Guidance](https://arxiv.org/abs/2403.17377).  
PAGCFGHunyuanAttnProcessor2_0  
Processor for implementing scaled dot-product attention (enabled by default if you're using PyTorch 2.0). This is
used in the HunyuanDiT model. It applies a normalization layer and rotary embedding on query and key vector. This
variant of the processor employs [Pertubed Attention Guidance](https://arxiv.org/abs/2403.17377).
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/api/attnprocessor.md