![]() Why would customers be denied the option to run optimized models without constant interruptions or fast/reliable internet? “they just won’t be quite as fast for many videos.”…? I say that safely qualifies as “NOT WORKING CORRECTLY”. 10GB is an inconsequential amount of storage on modern hardware like many, I currently have upwards of 20TB… The very fact that you felt the need to write the original post proves that you understand this well. Many people live in places with unreliable internet (where I live currently), or limited bandwidth (where I’m moving in 2 weeks). Your situation is not unique or for that matter uncommon. Let me know if this tutorial needs to be expanded or clarified. When you do, both V7 and V8 will be choices in the program. To put, for example, alq-v7 in along with alq-v8 just copy the models and also the artemis-lq-7.json file. One important point: New VEAI installs will wipe out your models folder! Unless you want to download again and again, make a backup copy that you can copy back into the models folder. Either download directly to your models folder, or move them after download. If people have favorites please chime in. I’m sure there are other batch downloaders available. I use a program called jDownloader (free) and it will pull from the Windows clipboard, so just select the files to download and copy. Here are examples from mine:įor the download you can do them one-at-a-time or use a batch downloader. (edited January 2021)īasically you can use the 288x288 files to build a list of all files, repeating file names with the other sizes, plus addding the URL. The HeightxWidth list is:Ģ88x288 (you shouldn’t need to download this one since it comes with the installer)Īt this writing there are ddv, dtd, dtv, aaa, alq, amq, ahq, thf, thd, ghq, and gcg models. There are 9 HxW variants of each file, and three size versions, except for thf which has only single unsized version. json extension, which tells the program what models to use. For me it is fp16 -ox.tz Also in that folder will be files with a. Look at the files in that folder, and you will see which GPU type VEAI is picking for you - all of the files for 288x288 will be there in 1x, 2x, and 4x versions, plus any already downloaded. Go up one level and you should see the models folder. There are currently 4 variants for the models for different GPU types, and the files have the following endings/extensions:įind your models folder if you don’t know where to look, open the program and choose Help/Open Log Folder. It is possible to download all, or specific, models and store them. So far they are forward-compatible, and newer versions than 1.7.0 can use models from 1.7.0 and later. Here is a chart illustrating the performance gains across several Apple computer configurations.This tutorial is aimed at those who don’t want to have the program fetch a model when it is not already downloaded.īeginning with version 1.7.0 of VEAI there are many different models the program can use. Apple M1 users can expect a 20-30% performance boost across the board when compared to using Rosetta emulation, as well as significant gains when compared to Intel-equivalent machines. While Video Enhance AI has worked on Apple’s new integrated M1 System on a Chip architecture using Rosetta emulation, we’re now excited to offer native support for the latest generation of Apple M1, M1 Pro, and M1 Max computers. Lots of usability improvements and bug fixes - We’ve made many improvements to our AI engine for improved speed and stability across a wider range of hardware, as well as including several helpful usability improvements.ĭownload Video Enhance AI v2.6 Windows | macOS Release Notes Native Apple M1 silicon support.Refinements to these AI models also increase video quality compared to previous versions. New Proteus, Artemis, and Dione AI models - Optimized to be about 30% faster on Windows computers while providing improved quality compared to previous models. ![]() New Chronos Fast AI model - Built for high-resolution video clips with fast motion, delivering 2-3x faster performance than the current Chronos v2 AI model.Native Apple M1 silicon support - Experience a 20-30% performance boost compared to the previous version that required Rosetta emulation.
0 Comments
Leave a Reply. |