<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apple-Silicon on DRM HSE</title><link>https://www.drmhse.com/tags/apple-silicon/</link><description>Recent content in Apple-Silicon on DRM HSE</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 26 Jul 2026 19:00:04 +0300</lastBuildDate><atom:link href="https://www.drmhse.com/tags/apple-silicon/index.xml" rel="self" type="application/rss+xml"/><item><title>How I Made CosyVoice3 2.2× Faster on Apple Silicon</title><link>https://www.drmhse.com/posts/running-funaudio-on-mac-mlx-pytorch/</link><pubDate>Sat, 25 Jul 2026 17:53:14 +0300</pubDate><guid>https://www.drmhse.com/posts/running-funaudio-on-mac-mlx-pytorch/</guid><description>&lt;p>I have been using a local &lt;a href="https://github.com/FunAudioLLM/CosyVoice"target="_blank" rel="noopener noreferrer" class="external-link">CosyVoice3&lt;svg class="inline-block w-3 h-3 ml-0.5 align-baseline" fill="none" stroke="currentColor" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg" aria-hidden="true">
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&lt;/a> service to narrate audiobooks—a few thousand clips of production output, one segment at a time, over a couple of weeks. It worked. It was also slower than real time, which I had accepted as the price of running a 0.5B TTS model on a laptop.&lt;/p></description></item></channel></rss>