torch.compile and Diffusers: A Hands-On Guide to Peak Performance – PyTorch

PyTorch's torch.compile can significantly accelerate diffusion models in the Diffusers library, achieving 1.5x speedups with minimal code changes. The guide covers compilation strategies including regional compilation to reduce compile time by 7x, dynamic shapes to prevent recompilations, and integration with memory optimization techniques like CPU offloading and quantization. Key recommendations include compiling only the compute-heavy DiT component, using fullgraph=True for model authors, and enabling LoRA hot-swapping to avoid recompilation when switching adapters.