Topaz Video AI vs Clarity for AI Upscaling
Topaz vs Clarity upscaling tested on a 1080p Kling 3.0 clip. Temporal stability, speed, pricing, and which one to use for cinematic vs social content.
For topaz vs clarity upscaling on a 1080p AI-generated clip, Topaz Video AI wins on temporal stability and cinematic output quality, while Clarity wins on speed and cost for social content. We ran a 5-second Kling 3.0 clip through both tools and the gap is real but narrow for short-form work. It widens fast for anything over 60 seconds or headed to broadcast.
TL;DR
- Topaz Video AI produces the cleanest frame-to-frame consistency for cinematic work, especially on clips with motion blur, hair, and fine texture.
- Clarity processes the same clip roughly 3x faster and at a fraction of the cost, but introduces subtle flickering on high-motion frames above 30fps.
- For social cuts under 30 seconds: Clarity is the faster, cheaper choice with acceptable output.
- For brand films, broadcast delivery, or any clip that gets color graded: Topaz.
- Both are available inside 8frame AI workflows, so you can run the comparison yourself in one canvas.
The upscale test
We used a single source clip: a 5-second Kling 3.0 generation at 1080p/30fps, shot on the prompt:
Product coffee mug on a marble counter, steam rising from surface, morning window light from camera left, shallow depth of field, commercial photography style, 5s clip
This prompt stresses the things that break upscalers: fine steam detail, specular reflection on ceramic, soft background bokeh that shouldn't sharpen, and a slow push-in with subtle camera motion.
We ran the same clip through Topaz Video AI (v4.2, recovery-detail-v3 model, sharpening 45%, grain suppression 25%) and Clarity (standard 4K upscale preset, default settings). Source resolution: 1920x1080. Target: 3840x2160.
Topaz Video AI: temporal stability is the headline
Topaz's core advantage is how it treats frames as a sequence, not as individual stills. The recovery-detail-v3 model maintains a consistent sharpness budget across the clip. When the mug surface catches the light and the steam drifts, Topaz holds the edge detail on the ceramic without sharpening the steam beyond what looks real.
On the test clip:
- Steam wisps remained distinct without posterizing. Earlier Topaz models (v3.x) tended to over-sharpen fine particles; v4.2 is noticeably better here.
- The specular highlight on the mug surface tracked correctly as the camera pushed in. No flicker, no edge ringing.
- Background bokeh stayed soft. The upscale added resolution to the in-focus foreground without touching the blur.
- Processing time: 4 minutes 22 seconds on the 5-second clip at 4K/30fps.
The weakness is processing time and cost. For a 90-second brand film, Topaz runs roughly 45-55 minutes. On 8frame, the cost per clip through the Topaz node is approximately $0.90-$1.20 per 5 seconds of source footage at 4K output.
Clarity: speed for social, with a caveat
Clarity processes video upscaling in a single pass without temporal frame analysis. That's why it's fast. A 5-second clip at the same 1080p-to-4K target took 1 minute 18 seconds. The output looks good in still frames and in normal playback.
Where it breaks down:
- At 60fps or above, Clarity introduces a faint brightness flicker on high-contrast edges between frames. On the ceramic mug test, the specular highlight on the rim pulsed slightly on every third frame. You won't see it on a phone screen. You will see it on a 4K monitor or in a client screening room.
- Fine details like steam aren't handled temporally. The steam edges sharpened inconsistently across frames, which reads as noise rather than texture on close inspection.
- For 9:16 social content at 1080p output (not 4K), these issues mostly disappear. Clarity is fine at lower target resolutions.
Cost on 8frame is roughly $0.20-$0.35 per 5 seconds of source footage at 4K output. About 3-4x cheaper than Topaz at the same target resolution.
Strengths and weaknesses side by side
Topaz Video AI
Strengths: temporal frame analysis keeps consistent detail across motion, handles fine particles and reflections well, produces output suitable for color grading and broadcast delivery.
Weaknesses: slow (4+ minutes per 5-second clip), higher cost, overkill for short-form social where screen resolution limits what the viewer sees.
Clarity
Strengths: fast (under 90 seconds per 5-second clip), significantly cheaper, produces good output for single-frame inspection and social formats.
Weaknesses: no temporal analysis, visible flicker at 60fps on high-contrast edges, fine detail handling is inconsistent across frames in longer clips.
Best by use case
Cinematic brand films and broadcast delivery. Topaz. The temporal stability matters here because the output will be seen on large screens, color graded (which amplifies any flickering artifacts), and often slowed down in post. Clarity's artifacts that look acceptable at normal speed become visible at 50% playback.
Social content: Reels, TikTok, YouTube Shorts. Clarity. A 15-second social cut viewed on a phone at 1080p doesn't expose Clarity's weaknesses. You get 4K source files for the odd case where the platform serves them, and you save 4-5x on processing cost.
Long-form content over 60 seconds. Topaz. At scale, Clarity's per-frame inconsistency accumulates. A 3-minute video will have enough flicker events to feel slightly off even to non-technical viewers.
Batch work and iteration testing. Clarity. If you're running ten prompt variants and want to see which one looks best at 4K before committing to a final render, Clarity's speed makes it the right preview tool. Run Topaz on the winner.
Content that will be licensed or distributed at broadcast spec. Topaz, no exceptions. Broadcast QC standards will flag the Clarity flicker on high-contrast frames.
See the full breakdown of AI video workflows that use both in the guide to 10 AI workflows every brand should have.
Pricing math
Costs reflect 8frame credit pricing in June 2026. Raw Topaz and Clarity licensing varies if you're running them locally.
| Tool | Cost per 5s clip (1080p to 4K) | Processing time | Best format |
|---|---|---|---|
| Topaz Video AI (8frame) | $0.90 to $1.20 | 4-5 min | Cinematic, broadcast |
| Clarity (8frame) | $0.20 to $0.35 | 1-2 min | Social, batch preview |
For a typical 30-second brand spot (six 5-second clips):
- Topaz: $5.40 to $7.20 in upscaling credits
- Clarity: $1.20 to $2.10 in upscaling credits
For a 90-second film (18 clips):
- Topaz: $16.20 to $21.60
- Clarity: $3.60 to $6.30
At 90 seconds, Topaz costs about $18 and takes roughly 80 minutes. Clarity costs about $5 and takes about 25 minutes. Whether the difference matters depends entirely on where the footage is going.
The full generation chain in the 8frame workflow library lets you choose the upscaler at the output node level, so you can route social exports through Clarity and cinematic exports through Topaz inside the same project without rebuilding anything.
FAQ
Does Topaz Video AI work better than Clarity on all AI-generated footage?
Not on all footage. On clips with large flat areas (simple backgrounds, wide landscape shots, solid-color products), the difference is minimal. Topaz's temporal advantage shows most clearly on clips with motion through fine detail: smoke, hair, fabric, particles, and anything with fast-changing reflections. If your footage doesn't have those elements, Clarity is the better value.
Can I use Clarity for 4K delivery to YouTube or Vimeo?
Yes for most uploads. YouTube and Vimeo don't run broadcast QC. The Clarity output will pass platform compression at 4K without issues. Where it falls short is branded content that a client or partner reviews in a non-compressed screening context. Those situations warrant Topaz.
What settings should I use in Topaz for AI-generated video?
For AI-generated source footage (Kling, Veo, Seedance), the recovery-detail-v3 model outperforms artemis-hq in our tests. Set sharpening to 40-50% and grain suppression to 20-30%. Higher grain suppression produces an over-clean look that reads synthetic. The goal is to add resolution without stripping out the model's native texture. Check the specific settings used in the Seedream + Veo + Topaz luxury workflow for a production-tested configuration.
Run both upscalers on your own footage through the 8frame workflow library. The upscale comparison template includes both Topaz and Clarity nodes with the settings from this test, so you can see which one fits your output in about 10 minutes.