使用 NNCF 與 🤗 Optimum 在 Intel CPU 上優化 Stable Diffusion
Original: Optimizing Stable Diffusion for Intel CPUs with NNCF and 🤗 Optimum
In the current boom of generative AI, image generation models like Stable Diffusion have become widely popular thanks to their remarkable…
本文介紹 Hugging Face 與 Intel 合作的優化方案。透過 Optimum Intel 與神經網路壓縮框架（NNCF），開發者可以輕鬆對 Stable Diffusion 進行訓練後量化（PTQ）。這項技術能將模型壓縮至 INT8 精度，在顯著降低記憶體佔用的同時，大幅加速 Intel CPU 上的圖像生成速度，且幾乎不損失圖像品質。
In the current boom of generative AI, image generation models like Stable Diffusion have become widely popular thanks to their remarkable capabilities. However, these models typically require substantial computational resources, and running them in environments without high-end GPUs — such as ordinary personal computers or CPU servers — often runs into bottlenecks of insufficient memory and slow inference speeds.
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