Bringing-Old-Photos-Back-to-Life VS Quarkus

This is an Extension that integrates Bringing Old Photos Back to Life, an old photo restoration algorithm, into the Automatic1111 Webui, as suggested by this post. User can process a photo, then send it to img2img or Inpaint for further refinement.

Is there anyone in this subreddit that could make an Auto1111 extension out of this: https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life

This seems to do exactly the same and is the original source of the scratch detection model that is used in OPs version.

Thanks, if you are taking requests :-) - The inclusion of (or integration with) a facility like this https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life would be very nice !

Why a GAN specifically? There's Bringing Old Photos Back to Life for example, but it uses VAEs, not a GAN.

Thank you. Photo-restore + Deoldify + Animegan + Rife + 4K upscale

Bringing Old Photos to Life

I was recently looking at the microsoft/Bringing-Old-Photos-Back-to-Life repo to use on some old photo. While there is no doubt that the models were created by very smart data scientists, the repo is not very well organized and cumbersome to setup. I think data scientists coming from math/statistics background may not be familiar with software design best practices, and somehow just gets by with infrastructure setup.

Meanwhile, if you're building something smaller than Netflix, I'm writing a book just for that (https://opinionatedlaunch.com/).

It's about mobile apps, but I talk about backend at great length, especially since my background is Java. The book is called "opinionated" because I cover Quarkus (https://quarkus.io/), monolith, Fly.io, and no K8s.

Quarkus is a Java based framework tailored for GraalVM and HotSpot, which results in an amazingly fast boot time while having an incredibly low memory footprint. It offers near instant scale up and high density memory utilization which can be very useful for container orchestration platforms like Kubernetes or Serverless runtimes like AWS Lambda.

Other useful articles related to Quarkus extension development can be found under the Writing Extensions guide category on the Quarkus.io website.

Quarkus is one of Java frameworks for microservices development and cloud-native deployment. It is developed as container-first stack and working with GraalVM and HotSpot virtual machines (VM).

If you GraalVM Native Image or one of the frameworks based on it then bootstrap cost disappears:

https://quarkus.io

We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects.

The Quarkus you are talking about is this one? https://quarkus.io/