Make your ZeroGPU Spaces go brrr with PyTorch ahead-of-time compilation

PyTorch's ahead-of-time (AoT) compilation can significantly speed up Hugging Face ZeroGPU Spaces, achieving performance gains of 1.3x to 1.8x. ZeroGPU allows for efficient, on-demand GPU usage but its short-lived processes are incompatible with just-in-time compilation. AoT compilation resolves this by allowing a model to be optimized once, saved, and then reloaded instantly for inference tasks. The process involves exporting the model with example inputs, compiling it, and integrating the compiled version into the inference pipeline. This approach is particularly effective for computationally heavy components like the transformer in generative models.