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AI video model
Topaz Labs
Topaz

Topaz Video Upscaler

Topaz Video Upscaler is Kyeo's current single-video factor workflow. It accepts one video URL plus `1x / 2x / 4x`, defaults to `2x`, and has no prompt input. Those factors are API values, not guarantees of denoising, restoration, stabilization, frame interpolation, 4K output, or a specific visual improvement; test critical footage first.

Workflow
Process one video at 1x, 2x, or 4x
Credit cost
Credit cost: 1x/2x at 8 credits/second; 4x at 14 credits/second
Prompt limit
Not applicable (no prompt input)
Upload limit
Up to 1 video
Accepts one video and an explicit `1x / 2x / 4x` upscale factor
No prompt is shown or sent in the current public source Topaz request.
The current public source contract allows 50MB; Kyeo accepts one MP4, MOV, or MKV file up to 10MB
`1x / 2x / 4x` are request values, not promises about restoration quality or final resolution
30-second overview
Topaz
1x/2x at 8 credits/second; 4x at 14 credits/second
What it does best
A narrow factor-based video-processing endpoint, not a prompt-led generator or content-rewriting tool.
Best for
Testing `1x / 2x / 4x` on a noncritical sample and measuring actual dimensions, visual change, runtime, audio retention, and download availability before using production footage.
Popular searches
How do I use Topaz Video Upscaler?Topaz Video Upscaler pricingWhat input does Topaz Video Upscaler require?

At a glance

What is this model like?

This workflow is not a mirror of the full Topaz Video desktop product. Topaz Labs also describes denoising, stabilization, slow motion, frame interpolation, and other broader features, while the current public source workflow exposes only a video URL and an upscale factor. Choose based on this narrow interface rather than inheriting every capability from the brand page.

What it does best
A narrow factor-based video-processing endpoint, not a prompt-led generator or content-rewriting tool.
Best for
Testing `1x / 2x / 4x` on a noncritical sample and measuring actual dimensions, visual change, runtime, audio retention, and download availability before using production footage.
Why use it on Kyeo AI
Topaz Video Upscale: 1x/2x at 8 credits/second; 4x at 14 credits/second

Key facts

Quickly assess whether this model fits your use case.

Category
AI video model
Vendor
Topaz Labs
Model family
Topaz
Integration
Current site integration
Workflow
Topaz — Asynchronous task
Runtime
Asynchronous task
Prompt limit
Not applicable (no prompt input)
Upload limit
Up to 1 video

Also known as

The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.

Topaz — Topaz Video Upscaler super resolution
Topaz Video Upscale API
Topaz Video Upscaler
Topaz Video

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

How do I use Topaz Video Upscaler?
Topaz Video Upscaler pricing
What input does Topaz Video Upscaler require?
Topaz Video Upscaler 1x 2x 4x
Topaz Video Upscaler video enhancement
Topaz Video Upscaler resolution upgrade
Topaz Video Upscaler 4K video
Topaz Video Upscaler super resolution
Do Topaz 1x, 2x, and 4x cost the same?
Topaz Video Upscaler vs Runway Aleph
Should I use Topaz Video Upscaler or Luma Modify Video?

Selection guide

Use these decision points when choosing a model.

1
Choose it when the content is already final

Consider it when you already have one video and want to test the current workflow's factor-based output, with a noncritical sample available for checking dimensions, quality, and runtime first.

2
Use a rewrite model when the footage itself is wrong

Use Runway Aleph or Luma Modify Video to rewrite, reenact, or restyle existing footage. If you do not yet have a final video and still need a generation or editing workflow, start with Wan 2.7 Video. This page addresses enhancement, not rewriting or generation.

3
Compare factors on a representative clip

Compare factors on a representative clip: Topaz Video Upscale bills from the signed input-video duration: 1x/2x use 8 credits/second and 4x uses 14 credits/second, with the total rounded up; a missing or invalid duration token is rejected before debit.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How does Topaz Video Upscaler differ from Runway Aleph?
Topaz Video Upscaler vs Runway Aleph
How does Topaz Video Upscaler differ from Luma Modify Video?
Topaz Video Upscaler vs Luma Modify Video
How does Topaz Video Upscaler differ from Wan 2.7 Video?
Topaz Video Upscaler vs Wan 2.7 Video

Model comparison

Compare the current model with alternatives at a glance.

Role in Kyeo AI
Topaz Video Upscaler
Factor-based processing of one existing video
Runway Aleph
Rewrite and reenact an existing video
Wan 2.7 Video
Unified video generation and editing workflow
Visible controls
Topaz Video Upscaler
1 video plus `1x / 2x / 4x`; no prompt
Runway Aleph
Visible controls — Runway Aleph: A currently available alternative in the same category; open its detail page to compare capabilities and pricing.
Wan 2.7 Video
More generation- and edit-oriented input routes
Kyeo AI pricing
Topaz Video Upscaler
Kyeo AI pricing: Topaz Video Upscale bills from the signed input-video duration: 1x/2x use 8 credits/second and 4x uses 14 credits/second, with the total rounded up; a missing or invalid duration token is rejected before debit.
Runway Aleph
90 credits / request
Best task fit
Topaz Video Upscaler
Factor-based output that requires sample validation
Runway Aleph
Rewrite, reenact, and restyle footage
Wan 2.7 Video
End-to-end generation and editing

Practical usage insights

Practical guidance based on public sources, current on-site limits, and representative tasks.

Enhancement intent is different from rewriting intent

People looking for a Topaz upscaler usually already have a result and need it prepared for delivery. Describing the page as a creative rewrite tool would send them to the wrong step and the wrong comparison set.

Topaz: what to compare on the same input

The full Topaz Video product also covers denoising, stabilization, slow motion, and frame interpolation. The current current public source workflow exposes only `video_url` and `upscale_factor`, so this page limits its claims to those two controllable inputs.

Capabilities

Topaz: a clear input method

Kyeo AI uploads the source video and sends its URL with the upscale factor. No prompt is read, and the workflow does not alter the story, visual style, or shot plan.

The media boundary is equally narrow

Kyeo accepts the same three formats but deliberately narrows its upload path to 10MB, so users must follow the stricter local limit.

Current pricing is fixed rather than tiered by factor

Current pricing is fixed rather than tiered by factor: 1x/2x at 8 credits/second; 4x at 14 credits/second

Use cases

Pre-delivery clarity upgrade

Improve an existing ad, completed scene, or social clip before export without regenerating its content.

Controlled factor comparison

Use one noncritical short clip to compare actual `1x / 2x / 4x` outputs instead of assuming that a higher factor always means better quality.

Existing-video compatibility test

Check whether an MP4, MOV, or MKV sample uploads, processes, and returns a usable result. One successful codec or audio track should not be generalized to every file.

Prompt tips

Judge the source, not the wording

Check the source video's format, size, resolution, compression, and artifacts first. This workflow accepts no prompt and does not rewrite the story or style from text.

Validate the default 2x before other factors

The current interface defines `2` as the default. Test the exact output dimensions and visual changes of enum values 1, 2, and 4.

Return to generation or rewriting when content is wrong

If the project needs a new action, style, or shot, switch to Wan 2.7, Runway Aleph, or Luma Modify Video instead of expecting upscaling to repair the concept.

Why choose it

The workflow requires only one video and one upscale factor.
Topaz factor rates: 1x/2x at 8 credits/second; 4x at 14 credits/second
The endpoint is narrower than the full Topaz Video product, so its available controls are easier to understand.
The page stays distinct from video generation and prompt-led rewriting tools.

What to know first

Generate one representative sample with the selected parameters and confirm that it meets the goal before scaling up.
Only one source clip is accepted, so it does not cover multi-asset assembly.
Signed duration guard — Kyeo AI pricing: Topaz Video Upscale bills from the signed input-video duration: 1x/2x use 8 credits/second and 4x uses 14 credits/second, with the total rounded up; a missing or invalid duration token is rejected before debit.
The workflow does not promise denoising, restoration, stabilization, interpolation, 4K, or a specific clarity gain; outputs require per-asset review.

Adjustable parameters

Quickly assess whether this model fits your use case.

Upscale factor
upscale_factor
Optional
Parameter type: select
Default: 2
1x
2x
4x

Credit usage

1x/2x at 8 credits/second; 4x at 14 credits/second

Calculation — Topaz Video Upscale bills from the signed input-video duration: 1x/2x use 8 credits/second and 4x uses 14 credits/second, with the total rounded up; a missing or invalid duration token is rejected before debit.

Budget tip

Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.

FAQ

Related models

Compare these similar candidates before deciding.

Runway Aleph

Runway — Does Runway Aleph support a reference image? — 90 credits / request. Use it to request additions, removals, replacements, relighting, restyling, or content changes to existing footage. Use it to request additions, removals, replacements, relighting, restyling, or content changes to existing footage.

AI video model
90 credits / request

Wan 2.7 Video

Wan 2.7 supports text-to-video, first-frame or first-and-last-frame image-to-video, and video editing. It currently offers 720p and 1080p, so compare media requirements, duration, framing, and estimated credits together.

AI video model
16 credits/second at 720p; 24 credits/second at 1080p

Seedance 2.0

Seedance 2.0 / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. Seedance 2.0 supports three mutually exclusive text, frame, and multimodal-reference scenes. The current callable output set is 720p, 1080p, and 4K for 4–15 seconds; video-reference requests are available only at 1080p or 4K because those are the current priced combinations. 164–3,840 credits per request

AI video model
164–3,840 credits per request

Sources

Content is based on model documentation, feature references, and the settings available on Kyeo AI.

Source note

Topaz Video Upscaler: 1x, 2x, and 4x video API | Kyeo AI: 1x/2x at 8 credits/second; 4x at 14 credits/second Calculation — Topaz Video Upscale bills from the signed input-video duration: 1x/2x use 8 credits/second and 4x uses 14 credits/second, with the total rounded up; a missing or invalid duration token is rejected before debit.

Last updated: 2026-08-28
Topaz Video
Official
View source
Topaz Video Upscale Tool
Official

These sources supplement Topaz model, feature, and usage guidance; available options follow the page and workbench. This source primarily supplements the parameters and usage guidance on this page.

View source