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?
This whole project is open-source and still in development that means if you are a programmer you can contribute and also don't forget to STAR the repo here at https://github.com/Idee8/mentor.ai