---
title: "topaz-upscale-image-precision (balanced)"
method: POST
path: "/api/v1/topaz-upscale-image-precision"
tags: ["Image: Enhance"]
---

# topaz-upscale-image-precision (balanced)

`POST /api/v1/topaz-upscale-image-precision`

## Request

- Base URL: `https://api.muapi.ai`
- URL: `https://api.muapi.ai/api/v1/topaz-upscale-image-precision`
- Auth: one of:
  - API key in header `x-api-key`
  - OAuth 2 (client credentials, token URL `https://api.muapi.ai/oauth/token`)

Upscale an image up to 4x faithfully with Topaz's precision models (Standard/High Fidelity/CGI/Text Refine/Faces). Input: image, model, upscale factor. Output: upscaled image. Use for: print prep, CGI/render upscaling, document/text clarity.

## Query parameters

- `webhook` string
- `team_id` integer, nullable

## Headers

- `x-api-key` string
- `x-embed-code` string, nullable
- `x-agent-embed-code` string, nullable
- `x-whitelabel-studio` string, nullable
- `authorization` string, nullable

## Request body

- TopazUpscaleImagePrecisionRequest
  - `image_url` string, uri, required
  - `model` 'Standard V2' | 'High Fidelity V3' | 'High Fidelity V2' | 'Low Resolution V2' | 'CGI' | 'Text Refine' | 'Faces'
  - `upscale_factor` number
  - `output_format` 'jpeg' | 'png'
  - `crop_to_fill` boolean
  - `subject_detection` 'All' | 'Foreground' | 'Background'
  - `face_enhancement` boolean
  - `face_enhancement_creativity` number
  - `face_enhancement_strength` number
  - `sharpen` number, nullable
  - `denoise` number, nullable
  - `fix_compression` number, nullable
  - `strength` number, nullable
  - `webhook_url` string, uri, nullable

## Response `200`

Successful Response

- unknown

## Other responses

- `422`: Validation Error

---

[API](https://skmtc.dev/muapi/apis/muapi-api.md) · [All operations](https://skmtc.dev/muapi/apis/muapi-api/llms.txt) · [OpenAPI document](https://skmtc.dev/muapi/apis/muapi-api/revisions/e4b7374381e5?raw)