Stable Diffusion XL 登陸 Mac：利用先進 Core ML 量化技術實現高效本地運行
Original: Stable Diffusion XL on Mac with Advanced Core ML Quantization
Since the release of Stable Diffusion XL (SDXL), its exceptional image generation quality has attracted widespread attention. However, its…
Hugging Face 發表了將 Stable Diffusion XL (SDXL) 部署於 Mac 的 Core ML 最佳化方案。透過先進的量化技術（如 6-bit 與 8-bit 量化），成功將龐大的 SDXL 模型體積縮減，使其能在 Apple Silicon（M1/M2 系列晶片）的 Mac 上流暢運行，顯著降低記憶體需求，並充分釋放 Apple 神經網路引擎（ANE）的硬體效能。
Since the release of Stable Diffusion XL (SDXL), its exceptional image generation quality has attracted widespread attention. However, its massive 1.3 billion parameter count poses significant challenges for local deployment — particularly on memory-constrained Macs. To address this, the Hugging Face team published a Core ML optimization and quantization solution designed specifically for Mac.
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