Topaz Video 1.7.0

Hi Everyone,

The team’s been busy working on a good number of exciting updates!

See more details below:


1.7.0 Downloads

Windows | Mac
Please note, with Neuroserver, DMG versions are no longer available.


Improvements and Fixes

Features

  • Starlight Precise 2.6!
  • Starlight Mini Updates!
  • Topaz Plugin: Final Cut Pro

Additional Updates

  • Live Preview Stabilization
  • Model Manager Update
  • Export Queue: Model Downloading

Bug Fixes

  • Addressed Starlight Sharp resolution problem
  • Metadata for neuroserver models
  • Image Sequence crash recovery
  • Refined plugins from hanging
  • Fixed Starlight 1 frame issues
  • Starlight Mini MAC access
  • Refined preset for HDR
  • Neuroserver Fixes
  • and more!

Starlight Precise 2.6


Precise 2.5 has been reworked into Precise 2.6 to give some additional options for sharpness levels. With Starlight Precise 2.6, there are three selectable sharpness levels via a slider.

  1. This variation has a more natural look with a lighter touch in sharpness.
  2. This produces a balance between the first and third sharpness options.
  3. Set to default. This variation produces the sharpest outputs. The sharpness level equates to what’s expected from Starlight Precise 2.5.

Updates for AMD and Nvidia!

In addition to the sharpness levels, a few more updates for Starlight Precise 2.6 have been refined for those with AMD and Nvidia GPUs.

  • Updated model for better temporal consistency.
  • Experience up to 15% speed improvements.

Model Recap

Starlight Precise 2.6 has been specialized for realistic human faces and skin textures in addition to other areas of improvement such as material, texture, and text.

About

  • This model works for Medium to High Quality content whether this is generative, live action or restoration videos.
  • Improves generated content that may have soft, plastic, or slight artificial looks, however the AI generated content should have solid structure and composition for ideal improvements.
  • Greatly reduces flickering with smaller textures.
  • For video inputs at or under 4K.
  • Outputs up to 4K.
  • Model access via the cloud for all subscription models.
  • Expect long render times for this diffusion model.

This Model Is Less Ideal For

  • Shots with heavy motion blur may be rendered as texture.
  • Not intended for very low/poor condition quality media.
  • Interlaced content needs to be de-interlaced first.
  • Not ideal for content below 480p

Technical Things To Know

  • Available for AMD, Mac & Nvidia
  • Available for all licenses to run locally!
  • This model is included locally, using neuroserver.

Nvidia Requirements:

  • Requires an absolute minimum of 12GB VRAM with 32GB CPU RAM, though 16GB VRAM is recommended.
  • Targeted for GPU compute compatibility of 8.9. This is also the recommendation.
    • Please note, though there might be some success with a CC of 8.6 cards, this is not technically supported and some may encounter a less ideal experience.
  • This model is included locally, using neuroserver.

AMD Requirements:

  • Requires an absolute minimum of 12GB VRAM with 32GB RAM, though 16GB VRAM is recommended.

Mac Requirements:

  • Requires an absolute minimum of 16GB though 24GB is recommended.
  • All Apple Silicon should be supported.

Starlight Mini Updates!

Starlight Mini is just over a year old and it’s been one of the best “go to” models for archival content!

I’m absolutely excited to announce that we have a faster Starlight Mini with the same model we know and love! Improvements can reach about 2x faster for NVIDIA cards with >12GB VRAM. Of course, speed results depend with your machine and setup, but you should see some speed improvements.

Additionally on some very rare occasions some have experiences an issue of the lower edge of the frame to have a horizontal edge. This update also addresses this.

I’m also happy to announce that Starlight mini is now available to everyone! A Pro account is no longer a requirement to run this model.

Model Recap

To get the best results out of this model, it’s good to know what it’s intended for and what makes it unique.

  • For older videos, results provide great details, subtle definitions and consistency in the animated motion. It is without doubt the best Desktop AI model for older footage enhancement/upscales.
  • Intended for low to medium quality content.
  • This model has a unique look, which is a subtle haze. This is great for human faces and more natural looking footage. Especially for older formats. This is similar to having a diffusion gel in front of a harsh light on set. This greatly reduces the “plastic” look of upscales and enhancements that are too clean.
  • Additionally, this model also greatly reduces flickering commonly seen in flat backgrounds that cause banding.

We recommend testing standard definition (SD) videos or others that have less than ideal results with our other models. This will give a larger “Wow” moment. Note, that the difference between standard definition vs high definition will naturally be more drastic. Essentially starting with something very good in quality may have marginal results.

About

  • This model works best for low to medium quality content whether this is generative, live action or restoration videos.
  • Greatly reduces flickering with smaller textures.
  • For video inputs at or under FHD 1920x1080.
  • Outputs up to 4K.
  • Model access via the cloud for all subscription models.
  • Cloud Export is supported on both Mac and Windows.
  • Though faster, this is still a complex and resource heavy diffusion model. Expect long render times for this diffusion model.

Things to consider:

  • It is not recommended to run Preview or Frame Preview with this model. For Nvidia users it will not work. AMD and Mac users this may also not work. It is recommended to export a few seconds for Preview purposes.
  • Please note that if you have text that is too small, blurry or inconsistent, the result may not be “sp3ll3d” correctly. If you can barely make it out, so will this model. It may assume that the text is a texture or pattern.
  • Water may appear smooth when compared to source.
  • If you have interlaced videos, it is recommended that you deinterlace first before enhancing with Starlight.

Technical Things To Know

  • Available for AMD, Mac & Nvidia
  • Available for all licenses to run locally!
  • This model is included locally, using neuroserver.

Nvidia Requirements:

  • A requirement of an NVIDIA GPU with at least 10GB of video memory, but we strongly recommend a GPU with 16GB or more memory for optimal performance and quality.
  • One of the minimum NVIDIA GPU requirements, is that the GPU needs the compute capability of at least 7.0, which means all the legacy GPUs with compute capability smaller than this version is not supported, including GTX 10 series and Quadro P series.
  • In addition to these GPU requirements, Starlight also requires a minimum of 32GB of system RAM.

AMD Requirements:

  • Requires an absolute minimum of 20GB VRAM with 32GB RAM

Mac Requirements:

  • The recommendation for Mac is to have a minimum 36GB of RAM.
  • All Apple Silicon should be supported.

Topaz Plugin: Final Cut Pro!

The Topaz plugin for Final Cut Pro (FCP) is now here! As an editor, one is now able to take advantage of some of Topaz’ famous models directly within the FCP environment.

Upon installation, the FCP file will be available to download. Make sure Final Cut Pro Plugin is selected to install. You can also decide here if you would like to deselect any plugins from installing.

Topaz in FCP

You can find the Topaz Enhancement in the “Effects” menu. You can easily type in “Topaz” in the search option.

When working with the enhancement parameters, these modifiers are equivalent to working in manual mode within the desktop app.

Known Issue

Selectable plugin installation within the Topaz Video “Plugin” tab is currently not available for Final Cut Pro. Only available via the initial installer for now.

Have fun working with the different model options on your footage!


Additional Updates to Note!

Live Preview Stabilization

Now you can review stabilization quickly to get an idea of what your export will look like. Compare the difference between Full-Frame and Auto-Crop. See if Rolling Shutter or Jittery Motion options are useful for your video.

  • You will need to make sure that Live render in preview is enabled. You can do this by going into your Preferences and go into the Advanced section under Features.

  • The moment you click and enable the Stabilization menu, a pop up will occur for a Stabilization Analysis Pass. This will essentially cache your source for quick in app reviews.

Things to consider

  • Works with most Gan models. Do not use with Starlight Models.
  • Not ideal for multiple enhancements.
  • Works best with resolutions at or under 4K.
  • The Analysis will pass through your entire clip first. Consider using this for shorter clips first and see where your comfortable with your system.
  • Full-Frame takes more time to process than Auto-Crop.

Model Manager Update: Neuroserver Models

Now you can now optionally download the Neuroserver Models via the Model Manager.
For space management, you can also uncheck a model to remove them from your machine.

Downloading a models will display the download progress via:

  • Completed downloads vs expected total (1/3) with total space requirement (18.3GB)
  • Current downloading Model and download progress vs model total space requirement (1.1GB/7.3GB)
  • Progress bar updates per completed model. If you are downloading a single model, you may not see the blue bar update.
  • Use the “Stop” button to end the downloading process.


Export Queue: Model Downloads*

When a Neuroserver Model has not been downloaded via the Model Manager, exporting one such as a Starlight model (for the initial time), the model will be downloaded in the Export Queue before processing the render. Afterward this download process will not occur again.


Bug Fixes

  • Fixed Neuroserver Starlight series models for 1 frame issues.
  • Addressed Starlight Sharp resolutions not matching properly.
  • Refined issues with plugins hanging and freezing with DaVinci Resolve and After Effects Projects.
  • Fixed Starlight Mini local export being disabled on Mac.
  • Refined the HDR/SDR-to-HDR presets and batch processing selection to better apply settings with Hyperion.
  • Folders are now made for image sequences when using a preset.
  • Ensures temp folders exists to minimize some stabilization errors.
  • Addressed the occasional issue of continued processing even when exports are paused/failed.
  • Fixed issue with intermediate files path length being too long.
  • Fix playback issues with image sequence that have folders containing a comma.
  • Refined the player hang when exiting the application.
  • Addressed grain slider for an occasional bug of displaying a previous setting.
  • Fixed the frame preview issue of showing an “Unavailable” error for Proteus Natural once a second enhancement is enabled.
  • Multi GPU is back for Starlight Sharp for Pro accounts.
  • Starlight Mini cannot be combined with other models. Updated messaging to help clarify this when sending for cloud rendering.
  • Fix mismatching output resolution when using certain Nyx models.
  • Fixed issues with image sequences partial exports clearing when errors occurred.
  • Added missing video metadata for Neuroserver exports.
  • Refined Preview Queue panel experience when exiting.
  • Fixed Hyperion-2 cloud exports failing with “Trimming input failed”.
  • Clarified cloud render errors to note that credits are automatically refunded.
  • Fixed trimmed cloud exports returning the wrong clip when multiple trims of the same file were queued.
  • Fixed WebM AV1 exports failing when audio mode is set to Convert.
  • Fixed “Codec parameters disabled” tooltip showing when codec settings were enabled.
  • Improved the AI Processor preferences tooltip with Auto/All GPUs details.
  • Fixed Neuroserver system-check status staying stuck on “Please wait before exporting”.
  • Fixed batch export ignoring “Original Folder” when a default export directory was set.

Don’t Forget

Is your system compatible?
Click Here

Documentation
Click Here

Encountered an Issue?

  • If you experience any issues, please ensure that your drivers are up to date. Next to a proper restart or an app reinstall, this is usually the first step to ensure you have the correct drivers running for this application.
  • Be sure to do a full reinstall if you are having issues making the upgrade from a previous version.
  • Sometimes a firewall can prevent the app from starting. If this occurs, be sure to add Topaz on the exception list.

Otherwise, you can easily reach out to our fantastic Support Team: Click Here


Enjoy the new updates!

14 Likes

Once again, the DMG download for Mac is not given its own link. So here it is:

downloads.topazlabs.com/deploy/TopazVideoStudio/1.7.0/TopazVideo-1.7.0.dmg

@erasmo.topazlabs - perhaps you’d be kind enough to update accordingly? There are Mac users who prefer the DMG install method.

Thanks.

Andy

I was trying to see if the macOS 27 crash was fixed… but ran into another issue. log file is flooded with the same error, hundreds of MB:

2026-08-11 19-48-10.563 Thread: 0x16bd8b000 Critical Error sending packet to decode Invalid argument
Failed setup for format videotoolbox_vld: hwaccel initialisation returned error.
decoding to AV_PIX_FMT_NONE is not supported.

I was trying to open an .avi file

Input #0, avi, from '/Users/dom/Video AI/src/1272.avi':
  Metadata:
    IAS1            : English
    software        : Lavf62.3.100
  Duration: 01:02:20.94, start: 0.000000, bitrate: 1636 kb/s
  Stream #0:0: Video: mpeg4 (Simple Profile) (XVID / 0x44495658), yuv420p, 640x480 [SAR 1:1 DAR 4:3], 1494 kb/s, 29.97 fps, 29.97 tbr, 29.97 tbn
  Stream #0:1: Audio: mp3 (mp3float) (U[0][0][0] / 0x0055), 48000 Hz, stereo, fltp, 128 kb/s

Will try other file formats

Edit: mp4 is OK, the issue could be related to avi? that same avi file worked with previous versions…

Edit2: great news is 1.7.0 looks stable when I change audio devices, bluetooth, turn monitor on/off… Note I started exporting PNG files instead of TIFF, don’t know if this would make a difference

Edit3: now I get 2 files for each frame: there is a _temp first, then it gets “enhanced” and the _temp is removed. I wonder if they will be cleaned up at the end… This is a new behavior vs. prior betas. Interesting…

Edit4: the 2 files scenario was specific to a 1080p file, not sure why. Lower res video (360p, 480p…) generate 1 .png per frame

My log is also filled with this when I open an MKV (which worked fine before). After a long delay, the file does eventually open - but with several hundred MByte log files.

Topaz - after all this wait for v1.7, your test process is just as pathetic as usual.

Just curious. Why are you trying to use AVI? I always convert before I try to process the files.

It’s just this is what I had in progress… I didn’t think about it. There should be a warning if some formats are not supported. I can convert the avi to mp4, that’s not a problem.

First video successfully enhanced on macOS 27 with Starlight Precise 2.6 ~500 frames

Edit: m4v also working

Wow, the sharpness adjustment works great! At setting 1, there’s much less ‘dirty’ image noise and skin artifacts. Thanks a lot for this! Maybe setting 1 should even be the default.

6 Likes

Uninstalled previous version (1.6.1) from Windows 10 but I’m still getting the error below:

It downloads fine, and seems to unzip fine, so not sure what the problem is. Any ideas for solutions are welcome.

2 Likes

Thanks for the release! I ran a test on my 4070TI. No “recoverable error” which is good - was getting many of those before - but on the first run I had the program crash AND finish the job to the temp folder which is not ideal but also not the worst? I may have to update things, will wait and see.

As far as comparison, on the sharpest setting with my difficult test, 1.7 produced a slightly softer image than 1.61 BUT the consistency was far better so that’s a good tradeoff. Also it is a difficult test. I’m curious to see how 1.7 handles other tests but so far I like what I’m seeing.

There’s some kind of problem with ffmpeg. I tried to use Iris and the process didn’t start. The log files are full of errors (230 megabytes in a couple of minutes), the CPU is loaded at 80%. Meanwhile, the exact same file with the same export settings was processed without any errors by the SLP 2.6 model.

Thanks for the update! Was hoping for improvements to Hyperion 2 for SDR to HDR. Hyperion 2 still takes some work with FFMPeg to get YouTube to accept the file as HDR. Additionally, it’s exceptionally slow. RTX HDR can translate 4K 60fps SDR to HDR in real-time. While it seems the Topaz implementation is superior to this, the performance on my RTX 4090 is abysmal. Is there any way to greater leverage the tensor cores here?

1 Like

In this version, the logic for handling temporary files when processing with the slp2.6 model has changed. Previously, these files were held in RAM before being flushed to disk, but now a multi-gigabyte file named transformed_(random).mmap is created in the C:\Temp folder instead.

The issue is that a new file is created for every new processing run, which isn’t good for SSD longevity. Furthermore, if you stop the processing before it completes, this file is not deleted and these temporary files will keep accumulating unless removed manually (after just a few hours of testing, I accumulated 18 GB).

Additionally, there is a “Use temporary directory” option in the application settings that can be disabled, but it seems to have no effect when using the slp2.6 model.

3 Likes

STRONGLY recommend that program startup does NOT automatically load the most recent project and instead goes to Projects page. For larger projects it can take several minutes open them, and hitting the “Cancel” button takes several minutes to cancel. I’m BEGGING you to implement this as just starting the program is often a big time waster.

12 Likes

FCP Plugin has not installed correctly after updating.

Is this Happy Farewell 1.7? :disappointed_face:

Who remembers?

Video Enhance AI v1, Feb 2020

  • for Windows 10, support nVideo GTX 10xx with >=4GB VRAM
  • 3 A.I. models for: (1) high-quality video source, (2) computer-generated/animated video, (3) low-quality video source.
3 Likes

Bad news it’s still crashing on macOS 27. The problem is not fixed, I didn’t see anything in the release notes, so I was a little surprised.

Same here. I always convert every single file to ProRes so it doesnt have to deal with heavy compression or any sort..

Frame previews still appear to be broken for me on this release. When I toggle it on, it will either do nothing or will say “Updating” indefinitely.

EDIT: This is for a regular Proteus run BTW.

1 Like

Have you read this? You may be trying to use it with an unsupported model