Add experimental support for loading .safetensors models #163
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As the title says, this PR adds experimental support for loading models in safetensors format; I call it experimental because, even if it technically works, I've noticed that rebuilding the pipeline a couple of times, for example by enabling/disabling ControlNet, causes RAM usage to increase considerably making it impractical for its use on low-end PCs.
Some other things to note in this PR:
pipeline.unet.to(memory_format=torch.channels_last)
inference speed automatically became much better. Is there any particular reason why this line is used?.