All of us have spent hours editing a shoot or if you're like me, procrastinating editing that shoot. Spending less time editing and more time shooting is ...
Not only was it able to accurately edit images, but also replicate the individual style of each photographer. They were created from tens, if not hundreds of thousands of images edited by some of the most known photographers in the industry. But a preset is “dumb.” It will simply apply a look to your image, and it won’t consider the contents of that image. [Imagen](https://www.imagen-ai.com/?utm_source=FStoppers&utm_campaign=Article_Oct22&utm_content=BetterEdit), however, this is no longer an issue, as it can replicate whatever your style is and fix the image for you. Knowing that I already edited it myself, I was very interested in seeing how different it would be from what I did. Imagen is AI-enabled software that allows you to edit images with never-seen-before speed and reliability. To do this, I first took 5,000 images that I already edited and put them into one Lightroom catalog. This comes through in how I compose images, how I light, and ultimately, how I edit my work. The cost of such endeavors would simply be hard to justify. This is great if your images don’t change, but if you’re editing a wedding or an event where the setting changes all the time, a preset won’t be too helpful. The only preset you need to have to be a great photographer is your style. Spending less time editing and more time shooting is what most of us ultimately want.
ScanSource resellers, Intelisys agents and hybrid partners galore gathered in Nashville this week at the Channel Connect conference.
For a more heady discussion of the topics ScanSource executives and partners presented this week, check out our The company engaged partners on its vision for a sales model that meet no customer technology needs unmet. ScanSource, the distributor that is pushing to converge the agent/cloud and VAR/hardware worlds, treated partners and suppliers to a week of education, training and networking.
A selection of Friday's best pictures as chosen by Deputy Picture Editor Laura Hutton.
From Freddie Mercury to Amy Winehouse, this is how late celebs might look today.
And on the image of River Phoenix with his brother Joaquín, one person wrote: "This one hits hard. One person commented on the image of Amy Winehouse: "It’s done so well she’s like not aged at all. He uses a multi-stage process employing several software programs to do it, including the AI-driven photo enhancer Remini and the popular photo editing tool Many people are amazed at the results of his process, but some question how realistically he's captured how old each star would look today. Not even worth it anymore to die young," someone else suggested. We've seen all kinds of incredible creative content produced using AI image generation in recent months, from photo-realistic portraits of people who don't exist to surreal genre mashups.
Google announced that their distroless builds meet level 2 of the Supply chain Levels for Software Artifacts (SLSA). Level 2 requires that the build process ...
[Tekton Pipelines](https://github.com/tektoncd/) and [Tekton Chains](https://github.com/tektoncd/chains) in a [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine) (GKE) cluster to automate the building of images and provenance generation. [Aqua Security report](https://www.infoq.com/news/2022/01/aqua-security-supply-chain) found a 300% increase in supply chain attacks from 2020 to 2021. The recent [Google 2022 Accelerate State of DevOps report](https://www.infoq.com/news/2022/10/google-devops-2022/?itm_source=presentations_about_software-supply-chain&itm_medium=link&itm_campaign=software-supply-chain) focused its analysis on how organizations are securing their software supply chain. [Chainguard](https://www.chainguard.dev/) recently moved their undistro image, Wolfi, into [general availability](https://www.infoq.com/news/2022/09/wolfi-supply-chain/?itm_source=presentations_about_software-supply-chain&itm_medium=link&itm_campaign=software-supply-chain). A record of the provenance is also stored in the [rekor](https://github.com/sigstore/rekor) transparency log. Each time a PR is merged to the distroless [GitHub repo](https://github.com/GoogleContainerTools/distroless), the Tekton Pipeline is triggered building the image. Google previously released a [proof of concept GitHub Action](https://github.com/marketplace/actions/slsa-build-provenance-action-demo) that demonstrates producing provenance in compliance with SLSA level 1. Verifying the attestation for a distroless image can be done with cosign and the distroless public key: [busybox shell](https://busybox.net/)for debugging purposes. To achieve SLSA level 2 the team implemented a number of improvements related to the build pipeline for these distroless images. This improves on their [previous release](https://security.googleblog.com/2021/05/making-internet-more-secure-one-signed.html) which saw all images being signed with [cosign](https://github.com/sigstore/cosign). The smallest of the distroless images is less than 50% of the equivalent