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  "text": "Last year, I got to collaborate on a number of serious projects at the intersection of Diffusers x optimization ⚡️\n\nFirst, NONE of them were bootstrapped with any AI agents but pure domain knowledge and expertise. So, besides just feeling good, it's also very reassuring to me to know how important those two traits are.\n\nNow, coming to the projects that I think are worth mentioning:\n\n* `flux-fast`: Showing a combination of `torch.compile` + unscaled FP8 FA3 + no CPU-GPU sync + dynamic FP8 is great for accelerating Flux.1-*. https://t.co/Fagw9bkFPA\n\n* `torch.compile` x Diffusers: What does it take to get the most out of `torch.compile` in Diffusers across different user workloads? https://t.co/J8bPgBFK1y\n\n* `lora-fast`: How to hotswap LoRAs into compiled models without incurring (slow) recompilation issues? How to set it up for success? https://t.co/FhY8ATz4c0\n\n* `zerogpu-brrr`: How to optimize a ZeroGPU HF Space with AOT + FA3 and other goodies? This helps save 💰 and improve the user experience of your ZeroGPU applications. https://t.co/DdPsS6O5Ky\n\nHopefully, this will make you realize there's still a LOT that you can do (preferably pairing with AI) if you're curious and deeply invested in stuff you care about.",
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