irere123

this is actually insanee

Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images. They have already attracted a lot of attention after OpenAI, Nvidia and Google managed to train large-scale models. Example architectures that are based on diffusion models are GLIDE, DALLE-2, Imagen, and the full open-source stable diffusion. But what is the main principle behind them?

You want that too?

I wrote it in obsidian in a note taking style so that's why

Yeah sonnet was pretty good with debugging for me too. I managed to fix a pretty serious bug in our company codebase with thousands of lines