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What Is Topaz Video AI? Definition + Examples

Topaz Video AI is Topaz Labs' AI video upscaler built for temporal stability across frames. Plus how it works, examples, and where to use it in AI workflows.

Correction, 2026-10-01: a related link described our 10 AI workflows guide as using Topaz Video AI as the final delivery step. No 8frame workflow can do that: nothing on 8frame upscales video, and Topaz on 8frame means Topaz Image Upscale, for stills. We also said Topaz Video AI upscales "up to 4x" and called it the standard tool, described its models as trained only on video, and said the result "holds together as motion". Those lines now follow Topaz Labs' own product page and docs, and the page has an FAQ and sources.

Topaz Video AI is Topaz Labs' dedicated AI video upscaler (Topaz Labs now sells it as Topaz Video), built to "upscale footage up to 4K and 8K" while keeping detail consistent from frame to frame.

Video models on 8frame top out at 1080p, or 2K on Hailuo H3 and Creatify Boreal, and none outputs 4K. That's fine for social, but it falls short for broadcast specs, large-format displays or 4K deliverables. Topaz Video AI is one desktop option for that gap. Topaz Labs describes its models as "temporally aware", meant to keep detail steady across frames rather than sharpening each frame on its own.

How Topaz Video AI works

Topaz Video AI uses a set of AI models that Topaz Labs calls "temporally aware AI models trained to upscale, enhance, stabilize, and smooth footage". Each model targets a different kind of source: its docs list general enhancement models (Proteus, Artemis), Iris for faces in low-to-medium quality video, Gaia for high-quality and computer-generated files, and Dione for interlaced and older analog footage. You pick the model that matches your source material and set a target resolution and frame rate.

The inference pipeline:

  1. Each frame is fed into the selected upscaling model. The model predicts high-frequency detail based on patterns from its training set.
  2. Because the models are temporally aware, they take neighbouring frames into account, with the aim of keeping edges, textures and grain consistent over time, not just sharp within a single frame.
  3. The output is rendered at the target resolution. Common upscaling factors are 2x (1080p to 4K) and 4x (540p to 4K).
  4. Optional passes handle deinterlacing, frame interpolation (Topaz lists up to 60 and 120 FPS), noise and compression-artifact reduction, and stabilization.

That temporal awareness is the difference from running a still-image upscaler frame by frame, which can make fine detail flicker. Check a test section with camera movement before you commit a long render.

When you use Topaz Video AI

The primary use case is 4K delivery from AI-generated source material. On 8frame, Kling v3 Standard returns 720p, Seedance tops out at 720p and Veo 3.1 at 1080p. If the deliverable is 4K, you need an upscale step outside the canvas, and Topaz Video AI is one tool for it.

Other situations where it shows up:

Post-generation polish. You got a strong clip with a tight prompt but the native resolution doesn't clear the client's minimum spec. Rather than re-generate at higher resolution and risk losing the exact output you wanted, you upscale.

Archival lift. Older brand footage that needs to live alongside fresh AI-generated content in the same campaign. Upscaling brings the legacy material closer to parity.

Frame rate conversion. A 24fps AI clip gets interpolated to 60fps for a smooth product loop. Topaz Video lists frame interpolation alongside upscaling.

What runs on 8frame instead

Correction, 2026-09-20: this page previously described Topaz Video AI running as a node inside the 8frame canvas, with specific chain configurations and processing times. That was wrong. Topaz Video AI is a desktop product from Topaz Labs and it has never run on 8frame. We have corrected it here and everywhere else it appeared.

What is actually on the canvas is still-image upscaling, in three routes:

Topaz Image Upscale, 11 credits per 24-megapixel block, scaling with output size. The precision option for frame grabs and hero stills going to print or large format.

Clarity Upscaler, 13 credits flat, a fixed 2x enlargement that re-draws detail (it is diffusion-based).

BRIA Increase Resolution, 6 credits flat, 2x or 4x up to 8192 x 8192, built to preserve the original content.

The upscale tool starts on Topaz.

So the honest workflow for a clip that needs to finish at 4K is: generate at the highest resolution the model offers (Wan 3.0 and Seedance both expose a resolution setting), then upscale the video in your own finishing tool after export. There is no video upscale step on this canvas to wire in.

Related concepts

FAQ

Does 8frame run Topaz Video AI?

No. Topaz Video AI is a desktop product from Topaz Labs and has never run on 8frame, and 8frame has no video upscaler of any kind. On the canvas, Topaz means Topaz Image Upscale for stills, from 11 credits per 24-megapixel block.

How do I get a 4K deliverable from an AI clip?

Generate at the highest resolution the model offers (Veo 3.1 at 1080p, Hailuo H3 at 2K), export the clip, then upscale it in a desktop tool such as Topaz Video. No video model on 8frame outputs 4K.

Can I upscale a frame grab on 8frame?

Yes, as a still: Topaz Image Upscale (from 11 credits), Clarity Upscaler (13, always 2x) or BRIA Increase Resolution (6, 2x or 4x).

Sources


Generate at the highest resolution the model offers, then finish the video upscale in your own tool. Open the 8frame canvas to run the generation step.

Written with AI assistance. Corrections are noted on the page. Editorial policy

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