On Open Source Diffusion Models. It’s been just a month or so since Stability.ai released Stable Diffusion. This is perhaps -like BigScience’s BLOOM- one of the few, most important, *true open source* AI large models. I believe we need more open source initiatives like this.
Intro to Diffusion Models. If you want to quickly, get up to speed with diffusion models this is a great Introduction to Diffusion Models for ML.
Tutorial on [Denoising] Diffusion Models. A few weeks ago, the guys at DL Indaba released this practical iPynb tutorial on Deep Generative Models concentrated in Diffusion Models
The latest on Diffusers. The Hugging Face team has been relentless at pushing ahead with the release of new tools and features around open source diffusion models, check out What’s New in Diffusers.
If you are trying to install Stable Diffusion in your local Apple MI/M2 metal, and you’re experiencing a nightmarish situation with Xcode, Conda env, dependencies, etc here’s a true one-click Stable Diffusion Apple M1/M2 installer that works.
The long w/e read. in this long essay, Gödel’s Incompleteness Theorem and Its Implications For AI, Daniel argues that human intelligence could not be recreated by a traditional computer.
Have a nice Sunday.
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Curated by @ds_ldn in the middle of the night.