All diffusion models are quite inefficent due to running in PyTorch eager mode (with torch.compile being kinda janky in practice on 2.0/2.1).
I would be more interested to see Paella vs SD running on a ML compiler framework, like TVM or AITemplate. Maybe one or the other is more amenable to optimization.
I would be more interested to see Paella vs SD running on a ML compiler framework, like TVM or AITemplate. Maybe one or the other is more amenable to optimization.