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AI image model
Topaz Labs
Topaz

Topaz Image Upscaler

Topaz Image Upscaler / Capabilities — Topaz Image Upscaler accepts one image and one scale factor on Kyeo AI. It does not read a prompt or change the subject or composition. The values 1, 2, and 4 are width-and-height multipliers, not fixed 1K, 2K, or 4K outputs; calculate the output by multiplying the source width and height by the selected factor.

Capabilities
1× to 4× single-image upscaling
Credit cost
Preauthorize 40; refund by actual usage
Prompt limit
Not used
Upload limit
1 image, up to 10 MB
30-second overview
  • Topaz Image Upscaler / Capabilities — Requires only one image and one scale-factor selection.
  • Topaz Image Upscaler / Upscale factor — Keeps the clear 1×, 2×, and 4× input meanings separate from an unproven target-resolution price mapping.
  • Topaz Image Upscaler / Upload limit — 1 JPEG, PNG, or WebP; 10 MB maximum. The output longest edge must not exceed 8192 pixels.
  • Topaz Image Upscaler / Credit cost — Conservative 40-credit preauthorization; refund by actual usage

Popular searches: how do I run Topaz Image Upscaler on Kyeo AI · how many credits does Topaz Image Upscaler cost per request · which image formats does Topaz Image Upscaler accept

At a glance

What is this model like?

This is a compact single-image enlargement workflow: upload a JPEG, PNG, or WebP, choose 1×, 2×, or 4×, then inspect the output dimensions and detail. Use it when the content is already correct and the remaining issue is pixel size. Choose an editing model first when the subject, text area, or composition must change.

What it does best
Topaz Image Upscaler / Upscale factor — Topaz Image Upscaler accepts one image and one scale factor on Kyeo AI. It does not read a prompt or change the subject or composition. The values 1, 2, and 4 are width-and-height multipliers, not fixed 1K, 2K, or 4K outputs; calculate the output by multiplying the source width and height by the selected factor.
Best for
It can be tested on product images, posters, social covers, scanned photos, and other existing assets that are too small. Text, people, and fine textures require close inspection.
Why use it on Kyeo AI
Topaz Image Upscaler / Credit cost — Conservative 40-credit preauthorization; refund by actual usage. The output longest edge must not exceed 8192 pixels.

Key facts

Quickly assess whether this model fits your use case.

Category
AI image model
Vendor
Topaz Labs
Model family
Topaz
Credit cost
Conservative 40-credit preauthorization; refund by actual usage
Upload limit
1 JPEG, PNG, or WebP; 10 MB maximum
Upscale factor
1× / 2× / 4× · ≤ 8192 px

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 Image Upscaler
Topaz Image Upscale
Topaz Upscaler

Common questions

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

how do I run Topaz Image Upscaler on Kyeo AI
how many credits does Topaz Image Upscaler cost per request
which image formats does Topaz Image Upscaler accept
how do I calculate Topaz Image Upscaler output dimensions
how do I calculate Topaz Image Upscaler output width and height
what is the Topaz Image Upscaler file-size limit
can Topaz Image Upscaler fix a blurry image
should I use Topaz Image Upscaler or Recraft
why does Topaz uniformly preauthorize 40 credits
how should I select an image upscale factor for a target size

Selection guide

Use these decision points when choosing a model.

1
Use it when the content is right but the image is too small

Use it when the content is right but the image is too small — Confirm that the subject, composition, and text need no edits, then choose the factor from the target width and height. Upscaling increases pixel dimensions but does not guarantee that every blur, compression artifact, or content error will be fixed.

2
Choose an editor when the content must change

Choose an editor when the content must change — Use Flux Kontext Pro or GPT Image 1.5 for subject, text-area, or composition changes. Recraft Crisp Upscale is another option when you want to compare a fixed-cost single-image enhancement.

3
Calculate the dimensions before testing

Calculate the dimensions before testing — Multiply the source width and height by the selected factor to estimate the output dimensions. Start with 1× or 2× to inspect text, edges, people, and texture; 4× costs more and merits closer artifact review.

Popular comparisons

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

How do Topaz and Recraft Crisp Upscale differ in input and credit cost?
Which of Topaz or Recraft offers selectable enlargement factors?
When should I use image enlargement instead of prompt-guided editing?
How do Topaz and GPT Image 1.5 differ in task scope?
Why should I edit the composition before using Topaz?

Model comparison

Compare the current model with alternatives at a glance.

Role on Kyeo AI
Topaz Image Upscaler
Factor-based enlargement of one image
Recraft Crisp Upscale
Single-image clarity action
Flux Kontext Pro
Prompt-guided changes to image content
Controls exposed on Kyeo AI
Topaz Image Upscaler
1× to 4× single-image upscaling
Recraft Crisp Upscale
A lower-cost one-click enhancement action
GPT Image 1.5
Text-to-Image and Image-to-Image with quality controls
Current credit cost
Topaz Image Upscaler
Preauthorize 40 for all factors; refund by actual usage
Recraft Crisp Upscale
1 credit / request
Flux Kontext Pro
4 credits / request
Best-fit task
Topaz Image Upscaler
Increasing pixel dimensions without changing the composition
Recraft Crisp Upscale
A fixed 1-credit enhancement action
GPT Image 1.5
Changing a subject, text area, or composition

Practical usage insights

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

A scale factor is not a K-resolution target

Topaz Image Upscaler / A scale factor is not a K-resolution target — An `upscale_factor=4` value multiplies both width and height by four; it does not promise a fixed 4K output. The result dimensions depend on the source, so the interface must not substitute 1K, 2K, or 4K labels.

Higher multipliers increase size, cost, and review work

Topaz Image Upscaler / Higher multipliers increase size, cost, and review work — Conservative 40-credit preauthorization; refund by actual usage. The output longest edge must not exceed 8192 pixels.

Capabilities

The request contains only an image and a factor

The request contains only an image and a factor — Requires only one image and one scale-factor selection.

The input format and file size have clear limits

The input format and file size have clear limits — 1 JPEG, PNG, or WebP; 10 MB maximum. The output longest edge must not exceed 8192 pixels.

Keep factors separate from price tiers

Keep factors separate from price tiers — Keeps the clear 1×, 2×, and 4× input meanings separate from an unproven target-resolution price mapping. Conservative 40-credit preauthorization; refund by actual usage.

Use cases

Enlarge undersized product images or posters

When the content is approved and only pixel dimensions need to increase, calculate the factor against the target placement and review product details, text, and brand elements afterward.

Test older or recompressed assets at a larger size

Scans, screenshots, and secondary exports can be tested, but severely missing detail may not return reliably and new artifacts may appear.

Prepare larger files for covers, banners, or print layouts

Choose a factor from the required pixel dimensions, then inspect cropping, edges, and text in the actual result. A multiplier alone does not establish compliance with a platform or print specification.

Prompt tips

Inspect the source; there is no prompt to write

Kyeo AI does not send prompt text on this workflow. Check the source dimensions, compression, text, and faces before deciding whether enlargement is worthwhile.

Work backward from the required dimensions

For example, a 1,000-pixel-wide source becomes roughly 2,000 pixels wide at 2×; that is not a generic 2K preset. Use the lowest factor that meets the placement to avoid unnecessary enlargement; all three factors currently preauthorize 40 and refund by actual usage after success.

Review the output instead of treating upscaling as a repair guarantee

Compare the dimensions and inspect edges, repeating textures, people, text, and compression artifacts at full size. Correct content errors in an editing model before enlargement.

Why choose it

Model family / Topaz Image Upscaler — Requires only one image and one scale-factor selection.
Upscale factor — Keeps the clear 1×, 2×, and 4× input meanings separate from an unproven target-resolution price mapping.
Upload limit — States the file type, file size, and longest-edge constraints explicitly.
Prompt limit — Uses no prompt, so its input boundary is distinct from semantic editors.

What to know first

The integration does not accept prompt instructions or perform semantic edits.
Only one source image is supported, so it cannot combine multiple references.
The multiplier enlarges width and height together; higher factors substantially increase output pixel count and are not a quality guarantee.
Upscaling cannot correct a wrong composition or guarantee reliable detail from a severely blurred or compressed source.

Adjustable parameters

Quickly assess whether this model fits your use case.

Upscale factor
upscale_factor
Optional
Parameter type: select
Default: 2×

Credit usage

Conservative 40-credit preauthorization; refund by actual usage

Conservative 40-credit preauthorization; refund by actual usage. Topaz Image Upscaler accepts one image and one scale factor on Kyeo AI. It does not read a prompt or change the subject or composition. The values 1, 2, and 4 are width-and-height multipliers, not fixed 1K, 2K, or 4K outputs; calculate the output by multiplying the source width and height by the selected factor. 1 JPEG, PNG, or WebP; 10 MB maximum. The output longest edge must not exceed 8192 pixels.

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.

Recraft Crisp Upscale

Recraft Crisp Upscale is Kyeo's one-image clarity and resolution enhancement action. It accepts one JPG, PNG, or WebP file up to 10 MB, exposes no scale, output-format, or other control, and costs a fixed 1 credit. Compare downloaded files to determine the actual dimensions, sharpening, and detail changes.

AI image model
1 credit per request

Flux Kontext Pro

Flux Kontext Pro provides prompt-only generation and one-image editing on Kyeo for a fixed 4 credits. Generation offers six aspect ratios. Uploading one image switches to editing, where Kyeo hides the ratio control and sends no ratio by default. The page also exposes JPEG or PNG, automatic translation, prompt enhancement, safety tolerance, and a watermark identifier.

AI image model
4 credits per request

GPT Image 1.5

GPT Image 1.5 on Kyeo supports text-to-image and image-to-image with three aspect ratios and medium/high quality. Image editing accepts up to 16 JPG, PNG, or WebP references at 10 MB each. Medium costs 4 credits and high costs 22 credits. GPT Image 1.5 is OpenAI's deprecated previous image model. Kyeo retains generation and editing access, but that availability does not make it OpenAI's current default choice.

AI image model
4–22 credits per request

Sources

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

Source note

Topaz Image Upscaler accepts one image and one scale factor on Kyeo AI. It does not read a prompt or change the subject or composition. The values 1, 2, and 4 are width-and-height multipliers, not fixed 1K, 2K, or 4K outputs; calculate the output by multiplying the source width and height by the selected factor. 1 JPEG, PNG, or WebP; 10 MB maximum. The output longest edge must not exceed 8192 pixels. Conservative 40-credit preauthorization; refund by actual usage.

Last updated: 2026-08-26
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