课程: Google Cloud Professional Machine Learning Engineer Cert Prep

免费学习该课程！

今天就开通帐号，24,700 门业界名师课程任您挑！

Using PyTorch and Rust for stable diffusion

Using PyTorch and Rust for stable diffusion - Google Cloud Platform教程

课程: Google Cloud Professional Machine Learning Engineer Cert Prep

开始一个月试用 购买团队方案

Using PyTorch and Rust for stable diffusion

“

One of the more exciting things that's happening in machine learning is deep learning. You can see all of the really amazing technologies from large language models to doing, for example, text to image generation with stable diffusion. And a lot of the Python programmers have been having a lot of fun with this. But one of the things that is interesting about Rust is that you can use PyTorch and you can use Hugging Face with Rust, and in fact, it can be 70 times at least faster. And if you do care about portability, performance, you know, packaging together, maybe a pre-trained model and then giving that to somebody, there is no other option in many ways than Rust, because Rust can package all that together and you can use the amazing packaging tools like cargo and also use cargo to execute different iterations. So in a way, if you want a high performance research environment for deep learning, in my opinion there is no better…

内容