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Kyeo AI
AI image model
Topaz Labs
Topaz

Topaz Image Upscaler

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, 4, and 8 are width-and-height multipliers, not fixed 1K, 2K, 4K, or 8K outputs; the source longest edge multiplied by the factor must also stay within 20,000 pixels.

Capabilities
1× to 8× single-image upscaling
Credit cost
5–40 credits / request
Prompt limit
Not used
Upload limit
1 image, up to 10 MB
Kyeo AI sends only `image_url` and `upscale_factor`; no prompt is submitted
The request uses a single source image and a selectable enlargement factor.
`upscale_factor` offers 1×, 2×, 4×, or 8×; these are not K-resolution presets
The source longest edge times the factor must not exceed 20,000 pixels; the four factors cost 5, 10, 20, or 40 credits
Try this model for freeView credit pricingBack to model gallery
30-second overview
Topaz
5–40 credits / request
What it does best
Kyeo AI exposes this as a single-image upscaler, not a prompt-based editor. The request contains only an image URL and a factor, and every output still needs review.
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.
Popular searches
how do I run Topaz Image Upscaler on Kyeo AIhow many credits does Topaz Image Upscaler cost per requestwhich 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×, 4×, or 8×, 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
Kyeo AI exposes this as a single-image upscaler, not a prompt-based editor. The request contains only an image URL and a factor, and every output still needs review.
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
The page lists all four multipliers, their credit costs, the accepted formats, and the 20,000-pixel constraint so you can calculate the target dimensions before running a task.

Key facts

Quickly assess whether this model matches your workflow.

Category
AI image model
Vendor
Topaz Labs
Model family
Topaz
Integration
Current site integration
Platform model ID
topaz/image-upscale
Runtime
Asynchronous task
Prompt limit
Not used
Upload limit
1 JPEG, PNG, or WebP; 10 MB maximum

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-upscale
Topaz Image Upscaler
Topaz Image Upscale

Common search intents

These questions and keywords combine public references with common creative use cases to help you choose faster.

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
what do upscale factor values 1 2 4 and 8 mean
how do I calculate Topaz Image Upscaler output dimensions
why must source longest edge times factor stay under 20000
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 a 1x Topaz request cost 5 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

Confirm that the subject, composition, and text need no edits, then choose the lowest multiplier that reaches the target dimensions.

2
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

Multiply the source dimensions by the selected factor and keep the longest edge within 20,000 pixels. Start with 1× or 2× to inspect text, edges, people, and texture; 4× and 8× cost more and merit closer artifact review.

Popular comparisons

Common comparison questions help you find the practical differences quickly.

How do Topaz and Recraft Crisp Upscale differ in input and credit cost?
Which of Topaz or Recraft offers selectable enlargement factors?
Which fields do Topaz and Flux Kontext Pro send upstream?
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.

Dimension
Topaz Image Upscaler
Recraft Crisp Upscale
Flux Kontext Pro
Role on Kyeo AI
Factor-based enlargement of one image
Single-image clarity action
Prompt-guided changes to image content
Controls exposed on Kyeo AI
1 image plus `upscale_factor`; no prompt field
A lower-cost one-click enhancement action
Text-to-Image and Image-to-Image with quality controls
Current credit cost
1× 5 / 2× 10 / 4× 20 / 8× 40
1 credit / request
4 credits / request
Best-fit task
Increasing pixel dimensions without changing the composition
A fixed 1-credit enhancement action
Changing a subject, text area, or composition

Practical usage insights

Practical observations based on real creative workflows.

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, 4K, or 8K labels.

Higher multipliers increase size, cost, and review work

Kyeo AI's cost rises from 5 to 40 credits with the selected factor. Choose against required dimensions instead of assuming the largest multiplier is best, and inspect every output for invented detail, text errors, and edge artifacts.

Capabilities

The request contains only an image and a factor

Kyeo AI sends the uploaded image URL and `upscale_factor` to `topaz/image-upscale`. There is no prompt field and no instruction for replacing subjects, rearranging the composition, or changing the style.

The input has strict file and dimension limits

Kyeo AI enforces the format and file-size rules but does not yet preflight the pixel product.

Credits follow the selected multiplier

The 1×, 2×, 4×, and 8× `upscale_factor` values cost 5, 10, 20, and 40 credits. The control sets a multiplier, not a quality grade or a guaranteed output resolution.

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 cost and enlargement.

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.

Strengths

Requires only one image and one scale-factor selection.
Maps 1×, 2×, 4×, and 8× directly to the four credit costs.
States the file type, file size, and longest-edge constraints explicitly.
Uses no prompt, so its input boundary is distinct from semantic editors.

Limitations

The integration does not accept prompt instructions or perform semantic edits.
Only one source image is supported, so it cannot combine multiple references.
When choosing 1×, 2×, 4×, or 8×, keep the source longest edge multiplied by the factor within 20,000 pixels.
Upscaling cannot correct a wrong composition or guarantee reliable detail from a severely blurred or compressed source.

Adjustable parameters

Quickly assess whether this model matches your workflow.

Upscale factor
upscale_factor
Optional
Parameter type: select
Default: 1×
1×
2×
4×
8×

Credit usage

5–40 credits / request

Kyeo AI charges by `upscale_factor`: 5 credits at 1×, 10 at 2×, 20 at 4×, and 40 at 8×.

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
View detailsUse now

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
View detailsUse now

GPT Image 1.5

GPT Image 1.5 supports generation and editing on Kyeo AI. Text-only requests use `gpt-image/1.5-text-to-image`; attaching references switches to `gpt-image/1.5-image-to-image`. Kyeo exposes 3 aspect ratios and `medium / high` tiers at 4 / 22 credits. OpenAI now marks GPT Image 1.5 as a deprecated previous model, so new work should also benchmark a current model such as GPT Image 2.

AI image model
4-22 credits / request
View detailsUse now

Sources

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

Source notes

Kyeo’s Topaz Image Upscale accepts one JPG, PNG, or WebP image up to 10 MB with 1×, 2×, 4×, or 8× scaling. The source longest edge multiplied by the factor must remain within 20,000 pixels. Prices are 5, 10, 20, or 40 credits, and no prompt is used.

Last reviewed: 2026-07-20
Topaz: Upscale & Resize
Official

Topaz defines scale as a multiplier and notes that 1× does not enlarge dimensions and that source quality affects results. This product documentation confirms the general scale meaning only.

View source
Upstream interface documentation: Topaz Image Upscale
Platform

The current task-creation example uses `topaz/image-upscale` with `image_url` and a string `upscale_factor`.

Topaz Image Upscale features on Kyeo AI
Platform

The current form lists JPEG, PNG, and WebP up to 10 MB, factors of 1×, 2×, 4×, and 8×, and a 20,000-pixel limit on source longest edge times factor.

Kyeo AI model configuration
Platform

Kyeo AI uses `topaz/image-upscale`, submits only the first image and selected factor, and maps the four factors to 5, 10, 20, and 40 credits.