<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantization on cornball.ai</title><link>https://cornball.ai/tags/quantization/</link><description>Recent content in Quantization on cornball.ai</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Fri, 14 Aug 2026 15:42:13 -0500</lastBuildDate><atom:link href="https://cornball.ai/tags/quantization/index.xml" rel="self" type="application/rss+xml"/><item><title>diffuseR is on CRAN</title><link>https://cornball.ai/posts/diffuser-on-cran/</link><pubDate>Tue, 11 Aug 2026 00:00:00 +0000</pubDate><guid>https://cornball.ai/posts/diffuser-on-cran/</guid><description>install.packages(&amp;#34;diffuseR&amp;#34;) That works now! diffuseR 0.2.2 went up on 2026-08-08, its first CRAN release.
When I introduced diffuseR in June 2025, it did two models and I was upfront about the shortcut:
To get up and running quickly, I wrote the basic machinery of diffusers primarily in base R, while the heavy lifting of the pre-trained deep learning models (i.e. unet, vae, text_encoders) is provided by TorchScript files exported from Python.</description></item></channel></rss>