Image

Topaz Image Upscale API

by Topaz

Photo and forensic upscaler — best for realistic content.

Get API key Read the docs

~8s
Avg. generation: 6 credits
From

topaz-image-upscale

Image model

A sleek silver sports car on a coastal highway at sunset, hyper-realistic, golden light.

Playground

Try Topaz Image Upscale right here.

model: topaz-image-upscale

Upscale factor

Enhancement model

Media inputs

Source image

Advanced settings

Face enhancement Recover facial detail in portraits. Face strength Face creativity Output format Seed

Estimated cost 6–102 credits · $0.06–$1.02 Generate in Studio

Output

Your output lands here. Hit generate to run this request in Studio.

Pricing

Simple per-generation pricing.

6–102 credits per generation ≈ $0.06–$1.02

The rate depends on the resolution and options you pick.

You only pay for successful generations. Failed jobs are refunded automatically.
One credit balance across every model on Apiframe, no per-model plans.
Start with free credits. No subscription required.
Volume discounts on larger plans.

See plans and credit packs

Specs

At a glance.

Provider Topaz

Model ID topaz-image-upscale

Image input Supported

Avg. time ~8s

Quickstart

How to call the Topaz Image Upscale API.

Send one POST /v2/images/upscale request with your API key. The call returns a jobId you can poll, or pass a webhook_url and the result is pushed to you the moment it's ready.

Swap topaz-image-upscale for any other model and nothing else changes.

Get API key Read the docs

generate.js

const response = await fetch("https://api.apiframe.ai/v2/images/upscale", {
  method: "POST",
  headers: {
    "X-API-Key": "afk_your_api_key_here",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "topaz-image-upscale",
    "topazUpscaleParams": {
      "image": "https://example.com/input.jpg",
      "upscale_factor": "2",
      "model_type": "standard-v2",
      "face_enhance": false
    }
  }),
});
const { jobId } = await response.json();
console.log(jobId);

import requests

response = requests.post(
    "https://api.apiframe.ai/v2/images/upscale",
    headers={
        "X-API-Key": "afk_your_api_key_here",
        "Content-Type": "application/json",
    },
    json={
        "model": "topaz-image-upscale",
        "topazUpscaleParams": {
            "image": "https://example.com/input.jpg",
            "upscale_factor": "2",
            "model_type": "standard-v2",
            "face_enhance": False
        }
    },
)
print(response.json())  # { "jobId": "...", "status": "QUEUED" }

curl -X POST https://api.apiframe.ai/v2/images/upscale \
  -H "X-API-Key: afk_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
        "model": "topaz-image-upscale",
        "topazUpscaleParams": {
            "image": "https://example.com/input.jpg",
            "upscale_factor": "2",
            "model_type": "standard-v2",
            "face_enhance": false
        }
    }'

let job;
do {
  await new Promise((r) => setTimeout(r, 2000));
  job = await fetch("https://api.apiframe.ai/v2/jobs/JOB_ID", {
    headers: { "X-API-Key": "afk_your_api_key_here" },
  }).then((r) => r.json());
} while (job.status !== "COMPLETED" && job.status !== "FAILED");
console.log(job.result);

import requests, time

while True:
    job = requests.get(
        "https://api.apiframe.ai/v2/jobs/JOB_ID",
        headers={"X-API-Key": "afk_your_api_key_here"},
    ).json()
    if job["status"] in ("COMPLETED", "FAILED"):
        break
    time.sleep(2)
print(job["result"])

curl https://api.apiframe.ai/v2/jobs/JOB_ID \
  -H "X-API-Key: afk_your_api_key_here"

Input schema

Every field Topaz Image Upscale accepts, with types and defaults. The full reference lives in the docs.

Field	Type	Description
model required	string	The model identifier for this endpoint. Default:"topaz-image-upscale" · "topaz-image-upscale"
topazUpscaleParams.image	string (URL)	The image to upscale.
topazUpscaleParams.upscale_factor	string	Upscale factor Default:"2" · "1", "2", "4", "6"
topazUpscaleParams.model_type	string	Enhancement model Default:"standard-v2" · "standard-v2", "low-res-v2", "cgi", "high-fidelity-v2", "text-refine", "redefine"
topazUpscaleParams.face_enhance	boolean	Recover facial detail in portraits. Default:false
topazUpscaleParams.face_enhance_strength	number	Face strength Default:0.8 · min 0, max 1, step 0.05
topazUpscaleParams.face_enhance_creativity	number	Face creativity Default:0 · min 0, max 1, step 0.05
topazUpscaleParams.output_format	string	Output format Default:"jpg" · "jpg", "png"
topazUpscaleParams.seed	number	Reuse a number to reproduce the same result. step 1

Topaz versions

Every Topaz image model on Apiframe. Switch with one parameter.

Topaz Image Upscale Flagship This page

Topaz Image Upscale questions

What teams ask before shipping with Topaz Image Upscale. Everything else lives in the docs.

Is there an API for Topaz Image Upscale?

Yes. Apiframe exposes Topaz Image Upscale through a single REST endpoint (POST /v2/images/upscale with model: "topaz-image-upscale"). You get one unified API, key, and billing across every supported model, with no separate Topaz account required.

How much does the Topaz Image Upscale API cost?

Topaz Image Upscale uses simple pay-as-you-go pricing on Apiframe. You only pay for successful generations. See the pricing page for plans and volume discounts.

How do I call the Topaz Image Upscale API?

Send a POST request to /v2/images/upscale with your X-API-Key and a JSON body containing model: "topaz-image-upscale". The call returns a jobId; poll GET /v2/jobs/{id} or use a webhook to receive the result.

What parameters does Topaz Image Upscale support?

Topaz Image Upscale accepts 8 model-specific parameters (nested under topazUpscaleParams) plus the common prompt and webhook_url fields. See the input schema above for the full list with types and defaults.