weight name argument for loading weights original diffusion_pytorch_model.bin  floating point diffusion_pytorch_model.fp16.bin variant, torch_dtype non-EMA diffusion_pytorch_model.non_ema.bin variant There are two important arguments to know for loading variants: torch_dtype defines the floating point precision of the loaded checkpoints. For example, if you want to save bandwidth by loading a fp16 variant, you should specify torch_dtype=torch.f