[Computex 2024] Explainer: How Do ASUS’s AI Creator Apps Work?

If you’re here in Computex, there is absolutely no lack of mentions of AI everywhere you go – but there are some things that AI can be useful for, if you know where to look. We talked about ASUS’s new ProArt line of laptops which you can read by clicking on this link, but in this article we’re going to discuss on the two new AI-powered apps the company is introducing: StoryCube and MuseTree.

StoryCube: Media Tagging, Now With AI

If you’re familiar with video production, in some cases the raw footages needs to be tagged and labeled with various metadata before sending it to editors to work in apps like Premiere Pro, but this is often a manual process. The premise of StoryCube is similar – although it takes the hard part out for you by letting the AI figure out what is the content in each clip and automatically tags it with keywords (i.e. people, scenes). Of course, if you want to do it manually, you have the option to do that.

The granularity of StoryCube’s sorting system means you can really pinpoint that one clip if you know where it came from. The app can sort clips from multiple sources and arrange them by device type, date and time, and location; and these clips can be edited in app if all you need is basic adjustments such as trimming, cropping, and some basic color grading.

StoryCube works on both local storage and cloud storage, and the app offers quick export to more robust editing apps such as Premiere Pro, Davinci Resolve, Capcut, or Microsoft Clipchamp, or directly to social media platforms including Instagram, Facebook, YouTube, and X (Twitter).

MuseTree: On-Device Generative AI Art

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When you think of generative AI, it usually involves text prompts – but not everyone likes to type long lines of text every time there’s a small change needed to pinpoint the best looks. MuseTree is what it sounds like: instead of text prompts, the image creation process (based on Stable Diffusion 1.5) is now a form of Idea Map, where you can drag-and-drop elements into the map to mix them and get different outputs. If you have something specific in mind, the Idea Canvas allows you to draw silhouettes and let AI figure out the rest.

When the image creation process is done, the Idea Library keeps all the stuff you’ve generated into one place where you can refer back at a later time. Everything is done locally, ASUS says, and it works without an active connection; as a bonus, it’s completely free to use, no subscription required. You’ll need a fairly beefy device to run the generative AI – ASUS requires a minimum of RTX 4050 (6GB VRAM) + 24GB system RAM, or a recommended RTX 4070 (8GB VRAM) + 32GB system RAM for optimal performance.

However, pay attention to the microsite’s footnote and you can read a few important things. One, this software is exclusive to select ASUS devices (though it didn’t specify which); and two, this is strictly for non-commercial use. For the latter part, we’ll have to know if ASUS applies a watermark to indicate an AI-generated imagery, or uses the C2PA standard to tag the metadata for identification on the web – because we all know these will eventually slip through the cracks if no one’s paying attention.

Pokdepinion: I wouldn’t necessarily trust users to not use images for commercial purposes, so I’d like to see some measures against that.