Upscale images faithfully with Topaz Precision (Standard, High Fidelity, CGI, Text Refine, Faces). Try free in the Muapi playground — pay per generation.
Upscale an image faithfully with Topaz's precision models (Standard/High Fidelity/CGI/Text Refine/Faces), preserving the original look while sharpening fine detail.
About this model
Topaz Upscale Image Precision enlarges an image while staying as faithful as possible to the original pixels — the right choice when you need a sharper, cleaner image without the model inventing new detail. It ships seven specialized models: Standard V2 for general photos, High Fidelity V2/V3 for maximum accuracy, Low Resolution V2 for very small sources, CGI for renders and 3D output, Text Refine for screenshots and documents, and Faces for portrait-heavy images. Optional face enhancement, denoise, sharpen, and compression-artifact fixing round out the control set. For a heavier reconstruction pass instead, see Topaz Upscale Image Generative, or Topaz Upscale Image Creative for a more stylized upscale.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.08+ per started 24 megapixels of output (plus margin), billed dynamically | Pay-per-use, no subscription. Cost is calculated from the real output resolution/duration at request time. |
| Fal.ai | Not available | Not offered as a standalone public API by muapiapp's upstream infrastructure partner. |
| Replicate | Not available | Not currently listed on Replicate. |
Pay-per-use, no subscription. Cost is calculated from the real output resolution/duration at request time.
Not offered as a standalone public API by muapiapp's upstream infrastructure partner.
Not currently listed on Replicate.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Image URL | string | Input image to upscale. | https://d3adwkbyhxyrtq.cloudfront.net/webassets/imagemodels/topaz-upscaler-in.jpg |
| Model | Enum (7 options) | Topaz precision upscale model variant. | Standard V2 |
| Upscale Factor | number | Factor to upscale the image by. | 2 |
| Output Format | Enum (2 options) | Output image file format. | jpeg |
| Crop To Fill | boolean | Crop the output to exactly fill the target aspect ratio. | false |
| Subject Detection | Enum (3 options) | Which region of the image to prioritize enhancement on. | All |
| Face Enhancement | boolean | Enable dedicated face enhancement. | true |
| Face Enhancement Creativity | number | Creativity applied to face enhancement. | 0 |
| Face Enhancement Strength | number | Strength of face enhancement. | 0.8 |
| Sharpen | number | Sharpening amount (0-1). | - |
| Denoise | number | Denoising amount (0-1). | - |
| Fix Compression | number | Reduce compression artifacts (0-1). | - |
| Strength | number | Overall enhancement strength (0.01-1). | - |
Input image to upscale.
https://d3adwkbyhxyrtq.cloudfront.net/webassets/imagemodels/topaz-upscaler-in.jpgTopaz precision upscale model variant.
Standard V2Factor to upscale the image by.
2Output image file format.
jpegCrop the output to exactly fill the target aspect ratio.
falseWhich region of the image to prioritize enhancement on.
AllEnable dedicated face enhancement.
trueCreativity applied to face enhancement.
0Strength of face enhancement.
0.8Sharpening amount (0-1).
-Denoising amount (0-1).
-Reduce compression artifacts (0-1).
-Overall enhancement strength (0.01-1).
-Developer documentation
Provide an image: Set image_url to a publicly accessible image URL.
Choose a model: Standard V2 is the default general-purpose choice; use High Fidelity V3 for maximum accuracy, CGI for renders, or Text Refine for documents/screenshots.
Set the scale: upscale_factor accepts 1-4x.
Tune fidelity controls: strength, sharpen, denoise, and fix_compression all fine-tune the faithful-upscale result; face_enhancement handles portraits.
Submit and poll: POST to /api/v1/topaz-upscale-image-precision, then poll /api/v1/predictions/{request_id} or use webhook_url.
curl -X POST https://api.muapi.ai/api/v1/topaz-upscale-image-precision \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image_url": "https://example.com/scan.jpg",
"model": "High Fidelity V3",
"upscale_factor": 2
}'
Frequently asked
It enlarges an image up to 4x while staying faithful to the original detail, using Topaz's precision model library (Standard, High Fidelity, CGI, Text Refine, Faces, Low Resolution).
Precision avoids inventing new detail — it sharpens and enlarges what's already there. Creative and Generative both add plausible new detail, with Creative leaning more stylized and Generative more reconstruction-focused.
Use `CGI` for 3D renders/game screenshots, or `Text Refine` for documents and UI screenshots where legible text matters most.
Yes, the `fix_compression` parameter (0-1) reduces JPEG-style compression artifacts as part of the upscale.
Cost is billed in 24-megapixel blocks of the real output size after `upscale_factor` is applied, at the same rate across all precision models.
Yes — `face_enhancement` defaults to true, with `face_enhancement_strength` and `face_enhancement_creativity` to control intensity, or use the dedicated `Faces` model.