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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
30-second overview
  • 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

Popular searches: How do I use Topaz Video Upscaler? · Topaz Video Upscaler pricing · What input does Topaz Video Upscaler require?

Examples

Cinematic scene

Cinematic scene

In a telekinetic action scene, a South Korean high school girl in a white short-sleeved shirt and gray pleated skirt stands calmly in the middle of a corridor. She is being attacked from both sides; some attackers, wearing brown school uniform jackets, wield short sticks, while others are dressed as black ninjas, creating a tense standoff in the corridor. As the enemies rush towards her, the girl unleashes a powerful telekinetic attack. Suddenly, everything around her enters a state of weightlessness and time freezes. Dozens of items—open textbooks, notebooks, a red soda can, and a wooden school chair—leave the ground, perfectly suspending themselves in mid-air. The attackers, in their lunging movements, are frozen in mid-air by an invisible force. Paper pages, scraps of paper, and dust float and swirl around her weightlessly. The camera slowly zooms in on the girl, perfectly freezing the chaotic corridor in the telekinetic-induced state of stillness and suspension. In the extreme stillness of the slowly zooming-in, frozen image, the girl's calm eyes narrow slightly. Immediately afterward, she calmly raised her right hand, her fingers loosely clenched, and then made a light yet decisive flick of her sleeve to either side of her body. In an instant, frozen time and gravity seemed to explode with this subtle gesture. A low rumble echoed in the air, and dozens of objects that had been suspended in mid-air—a heavy wooden school chair, scattered textbooks, even the red soda can—transformed into a dense projection, carrying powerful air currents, and were precisely launched towards the enemies attacking from both sides. At the same time, an invisible circular psychic shockwave violently spread out from the girl. The brown-uniformed attackers and black-clad ninjas, who had been frozen in mid-air, were instantly struck by this immense force, their bodies jolted violently, and they were sent flying backward like kites with broken strings to either end of the corridor. As gravity instantly returned, the wooden chairs shattered upon impact, textbooks scattered into a flurry of pages, and with the dull thud of heavy objects hitting the ground, the attackers collapsed onto the corridor floor, incapacitated. Silence returned to the corridor, broken only by countless tattered papers and fine dust drifting slowly in the air. The aftershocks of the shockwave ruffled the girl's bangs and hair. She remained composed, not even glancing at her fallen opponent. The girl slowly lowered her right hand, raised her slender left, and gracefully and calmly tucked a strand of black hair behind her ear, revealing her delicate and serene profile. The camera froze on this moment, the white papers falling around her like snowflakes, highlighting her still figure in a white short-sleeved shirt and gray pleated skirt. Then, the image faded out.

Cinematic scene

Create an epic cinematic video of a young man standing alone on the edge of a colossal floating structure thousands of meters above the clouds at sunrise. The video begins with an extreme wide aerial shot revealing an endless sea of golden clouds stretching to the horizon. Massive floating islands drift slowly through the sky while gigantic waterfalls pour into the mist below and dissolve before reaching the ground.As the camera slowly moves forward, it discovers the young man standing silently near the edge of the platform. His dark coat moves naturally in powerful winds. His hair flows realistically, individual strands catching the warm sunrise light. The camera circles around him in a slow cinematic orbit while volumetric sun rays pierce through the clouds behind him.As the music intensifies, the environment begins to awaken. Floating crystal fragments rise from the clouds and start orbiting around him. Tiny glowing particles drift through the air. The camera pushes closer toward his face, revealing highly detailed eyes reflecting entire galaxies and distant stars. His expression remains calm, determined, and mysterious.The clouds beneath him begin to separate, revealing an impossible world hidden below. Gigantic floating cities emerge from the mist. Ancient golden towers rise into the sky. Massive celestial rings rotate slowly around distant mountains suspended in the atmosphere. Flying creatures made of light travel between structures, leaving glowing trails behind them.The camera transitions into a dramatic low-angle shot. The young man slowly raises his head toward the sky. Above him, enormous celestial formations appear. Ringed planets become visible among vibrant nebula clouds. Streams of cosmic energy flow across the heavens like rivers of light. Thousands of glowing particles swirl around the scene.A powerful beam of golden light descends from the sky and illuminates the young man. His coat moves dramatically in the wind while floating debris and glowing fragments rotate around him. The camera performs a smooth cinematic 360-degree orbit as the environment reaches its most breathtaking state.The final sequence shows the camera pulling rapidly backward, revealing the true scale of the world. The young man appears small against an infinite landscape of floating kingdoms, cosmic skies, celestial structures, and endless clouds. The sunrise expands across the horizon, painting the entire scene in gold, orange, and soft blue light.Ultra-realistic cinematic visuals, Hollywood-level visual effects, breathtaking environmental storytelling, hyper-detailed character, realistic physics, volumetric lighting, atmospheric fog, dynamic camera movement, professional color grading, epic scale, emotional storytelling, fantasy realism, smooth motion, 4K cinematic quality, masterpiece-level visual composition, designed to feel like the trailer of a billion-dollar fantasy movie.

Cinematic scene

A 15 second urban fashion film shot on dynamic ultra wide fisheye lens capturing a trendy female model strutting through New York street corners. She wears a black crop top low rise baggy white cargo pants high top sneakers silver sunglasses and large over ear headphones around her neck. High energy camera movements include extreme low angle worm eye perspective fast tracking whip pans tilt ups and energetic jump cuts. Scene alternates between bright natural daylight along urban brick storefronts with graffiti shutter doors and moody evening streetlights featuring subtle neon glow. Fast motion city traffic blurred in background. Fluid transitions include quick lens light leaks digital HUD music player UI overlays dynamic trailing light effects and a triple visual echo effect of the model. Photorealistic skin texture natural movement crisp urban ambient audio synced with rhythmic electronic music beats 16 ratio high contrast cinematic grading

Cinematic scene

Create a 30 second cinematic live action supernatural action sequence in 16:9, set inside a small Japanese style convenience store after midnight. Compose natively for widescreen, never as a portrait crop. The store feels real and lived in, with narrow stocked aisles, drink cases, checkout counter, plastic baskets, sale posters, microwave, fluorescent ceiling tubes, scuffed tile floor, and glass entrance doors reflecting the empty street. Cool cyan fluorescent light dominates, with green spill from exit signs and warm streetlight beyond the glass. Preserve natural skin texture, realistic fabric, accurate reflections, subtle lens breathing, handheld micro movement and believable motion blur. 0 to 4 seconds. Begin with a wide eye level view down the main aisle toward the cashier counter using a 28mm lens. An older female cashier with tied dark hair, thin round glasses, and a blue and white work uniform stands behind the register. A black crescent shaped throwing blade suddenly whips through foreground space. Cut to her hand drawing a short polished sword from below the counter, then to the spinning blade with shallow depth of field. She deflects it with one compact motion. A sharp spark flashes and the blade buries itself into a wall panel. 4 to 10 seconds. Return to calm observational coverage. A male customer in a business suit walks toward the automatic glass doors and exits into the night. Stay medium wide and slightly behind him. Hold on the cashier in profile as the doors close. Her expression remains controlled, but her eyes shift before her head moves. The store suddenly feels too quiet. 10 to 17 seconds. Alternate between a locked shot of the empty entrance and a slow push toward the cashier. The automatic doors slide open though nobody is visible. A faint draft moves a receipt strip and light packages. She scans the room without panic. Cut to a symmetrical wide aisle view where products begin falling from shelves one after another, tracing an invisible path toward her. Keep collisions physically plausible. 17 to 23 seconds. Tight frontal close up on her face. She realizes someone unseen has entered. Slowly dolly in as cool overhead light catches her glasses. Cut to her hand reaching beneath the counter and gripping the sword handle. Return to a wide frame with strong aisle depth as she quietly sets her stance, feet grounded and shoulders relaxed. 23 to 30 seconds. An unseen attacker launches another black crescent blade straight down the aisle. Track the projectile briefly at realistic speed, then cut to the cashier drawing and raising her sword in one practiced movement. She redirects the blade with a precise metallic strike. Show close shot of the weapon spinning past camera and embedding deep into the wall beside her. End on a close portrait of the cashier listening into the silent store, sword lowered but ready, while a nearly invisible distortion crosses the far background. Camera language should feel like a grounded Japanese action thriller, restrained rather than flashy. Use motivated cuts, stable geography, realistic acceleration, correct hand contact, consistent weapon shape, coherent eyelines, natural blinking and breathing, and no impossible body motion. Use slow motion only for a fraction of a second during the final impact. No text, no subtitles, no logos, no watermark. Sound and music. Build tension from store ambience, fluorescent hum, refrigerator compressors, automatic door motor, distant traffic, shoe steps, package rustle, metal ring, and wall impact. Add a minimal cinematic score with low electronic pulse, sparse taiko like percussion, bowed metallic textures, and restrained bass. Keep music subtle at first, rise during each attack, then drop nearly to silence for the final close up. No vocals.

Cinematic scene

**CAMERA:** DV 16mm handheld camcorder POV. CHASE holds the camera or props it on the floor/bag. Natural hand shake, soft focus, imperfect framing, occasional clumsy zooms. Camcorder never visible. **LOOK:** Soft vintage tape quality, slight blur, tape noise, bloomed gym lights, flickering auto-exposure, muted contrast. **STYLE:** Calm post-workout gym vlog. Relaxed, slightly tired, natural pacing, genuine smiles and quiet reflections. **CHARACTER:** CHASE — Korean woman in her 20s. Long black hair loosely tied, light post-workout sweat, slim athletic build. Modest long-sleeve athletic top, loose joggers/leggings, socks, towel around neck. **SETTING:** Quiet evening gym corner with stretching mat, mirror, gym bag, protein shake, soft lighting. **SCENES:** 1. Sits on mat, exhales. "Okay, cool-down time." 2. Hamstring stretch, laughs. "That was a lot today." 3. Shoulder stretch. "Legs are gonna be sore tomorrow." 4. Close-up grabbing protein shake. 5. Drinks. "That's actually really good." 6. Arms overhead. "I'd give today an eight out of ten." 7. Resting on knee. "Feels good to be done." 8. Waves with bag and shake. "Alright, I'm heading out—see you guys."

At a glance

Is this model right for you?

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.
Who it is 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 evaluate whether this model fits your business 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

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

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?

Decision guide

Still deciding? Start with these key decision points.

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 table

Not sure which model to choose? Compare the key differences between this model and its 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

Real-world experience

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 settings

Quickly evaluate whether this model fits your business use case.

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

Credit cost

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.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

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 2.5

Seedance 2.5 combines a 30-second boundary, higher media counts, and video-editing reference input in one strict scene contract. Automatic duration is not underestimated at the 5-second default; Kyeo preauthorizes against the 30-second maximum.

AI video model
102–5,700 credits

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

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

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
Open original 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.

Open original source