TopazTopaz Image Upscale API

Name: Topaz Image Upscale API
Author: Topaz

Image upscaling and enhancement with Topaz AI — Standard, Hi-Fi, CGI, Recovery and Wonder models.

Image

0/1 images

Billed at this model’s published rate.

Result

Your generations will appear here

Other models from Topaz

Same vendor, same API call — the differences are below.

Model	Use case	Price	Resolution	Duration	Added
Topaz Video Upscale	Video → Video	No rate	—	—	Jul 2026

Install the SDK

TypeScript targets Node 20+ and ships with types; Python needs 3.10+ and is async. Over REST there is nothing to install: call https://api.picsart.com from any HTTP client.

bash

npm install @picsart/ai-sdk

Authenticate

Send your Picsart API key as a bearer token. The SDK does it for you once the client is created.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY, // sent as: Authorization: Bearer <key>
  apiUrl: 'https://api.picsart.com',
});

python

import os

from picsart_ai_sdk import create_client

ai = create_client(
    api_key=os.environ["PICSART_API_KEY"],  # sent as: Authorization: Bearer <key>
    api_url="https://api.picsart.com",
)

Make a request

Call the model by its id. Over REST, one endpoint serves every model: POST /workflows/v1/models/execute with the model id and its input in the body. The outer params is the envelope every workflow takes; the inner one is this model's input, with the same names generate() takes.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const result = await ai.generate('topaz-upscale-image', {
  imageUrls: [
    "https://cdn.example.com/input.jpg"
  ]
});

console.log(result.url); // image URL

python

import asyncio
import os

from picsart_ai_sdk import create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        result = await ai.generate("topaz-upscale-image", {
            "imageUrls": [
                "https://cdn.example.com/input.jpg",
            ],
        })

        print(result.url)  # image URL


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "topaz-upscale-image",
    "params": {
      "imageUrls": [
        "https://cdn.example.com/input.jpg"
      ]
    }
  }
}'

Parameters

2 parameters, the same for the SDK and for the inner params over REST. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`imageUrls` Input images, as URLs: the image to edit, or references for subject, style or composition.	`file (image[])`	yes	`—`	—
`model` Model	`enum`	no	`Standard V2`	Standard V2, Standard MAX, Low Resolution V2, High Fidelity V2, CGI, Text Refine, Redefine, Recovery, Recovery V2, Wonder, Wonder 3

Response

generate() resolves once the job completes. One or more image URLs. Over REST the output is at response.result, inside the gateway's status envelope with the task id, its status and the amount charged.

json

{
  "items": [
    {
      "url": "https://cdn.picsart.com/…/result"
    }
  ],
  "model": "topaz-upscale-image"
}

json

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result",
      "items": [
        {
          "url": "https://cdn.picsart.com/…/result"
        }
      ],
      "model": "topaz-upscale-image"
    }
  }
}

Overview

Alongside the unified model APIs, we expose compatibility APIs that take each vendor's original parameters exactly as the vendor defines them — nothing renamed, nothing reshaped on the way through.

That makes them the shortest path onto Picsart if you already work with the vendor directly: the request bodies you've already written keep working as they are. You keep their parameter names and defaults, and you get the vendor's full parameter set rather than the subset that is shared across every model.

The cost is that a request is written for one vendor — switching models later means rewriting it, and results come back in the vendor's own shape. When you'd rather write once and change models freely, use the unified API.

Make a request

Call the workflow with ai.apis.run() in TypeScript or Python, or hit /workflows/{workflow}/execute directly — params is passed through untouched either way.

These endpoints are addressed by workflow name rather than model id: the one in this model's header, since one model runs as one workflow. Authentication is unchanged — your Picsart API key as a bearer token (see Authentication).

import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'topaz/upscale/image' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('topaz/upscale/image', {
  image_url: "https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg",
  prompt: "A serene mountain lake at golden hour, ultra detailed"
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $

python

import asyncio
import os

from picsart_ai_sdk import ApiRunMode, create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        # Calls the 'topaz/upscale/image' workflow directly — params are sent as-is.
        response = await ai.apis.run("topaz/upscale/image", {
            "image_url": "https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg",
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
        }, mode=ApiRunMode.SYNC)

        print(response["result"])  # workflow-specific output
        print((response.get("usage") or {}).get("credits"))  # amount charged, in $


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/topaz/upscale/image/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "image_url": "https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg",
    "prompt": "A serene mountain lake at golden hour, ultra detailed"
  }
}'

Parameters

21 parameters, sent inside params. These are the vendor's own names, so they line up one-for-one with the vendor's documentation. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`crop_to_fill`	`boolean`	no	`false`	—
`fix_compression` Compression artifact removal level (0.0-1.0). Applies to Standard V2, Low Resolution V2, High Fidelity V2, and Text Refine models.	`number`	no	`—`	0–1
`sharpen` Sharpening level (0.0-1.0). Applies to Standard V2, Low Resolution V2, CGI, High Fidelity V2, Text Refine, and Redefine models.	`number`	no	`—`	0–1
`creativity` Creativity level for generative upscaling (1-6). Higher values produce more creative/hallucinated details. Applies to Redefine model only.	`integer`	no	`—`	1–6
`image_url` Url of the image to be upscaled	`string`	yes	`—`	min 1 chars e.g. `https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg`
`face_enhancement` Whether to apply face enhancement to the image. Applies to standard enhance and Recovery V2 models.	`boolean`	no	`true`	—
`face_enhancement_creativity` Creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled.	`number`	no	`0`	0–1
`strength` Enhancement strength (0.01-1.0). Applies to Text Refine model only.	`number`	no	`—`	0.01–1
`model` Model to use for image enhancement, grouped by family. Precision — Standard V2 fits most photos, High Fidelity V2 preserves detail in professional shots, Low Resolution V2 recovers compressed sources, CGI targets art and rendered graphics, Text Refine keeps text and shapes crisp. Generative — Wonder 3 is Topaz's most advanced generative model, Redefine adds prompt-guided creative detail, Standard MAX maximizes quality, Recovery/Recovery V2 rebuild extreme low-resolution images.	`string`	no	`Standard V2`	`Standard V2High Fidelity V2Low Resolution V2CGIText RefineWonder 3WonderStandard MAXRedefineRecovery V2Recovery`
`denoise` Denoising level (0.0-1.0). Applies to Standard V2, Low Resolution V2, CGI, High Fidelity V2, Text Refine, and Redefine models.	`number`	no	`—`	0–1
`enhancement_strength` Enhancement strength for generative upscaling. Applies to Wonder 3 model only. When omitted, Topaz auto-configures it.	`string`	no	`—`	`lowmediumhigh`
`detail` Detail recovery level (0.0-1.0). Applies to Recovery V2 model only.	`number`	no	`—`	0–1
`enable_safety_checker` Authorized callers may set false to request relaxed screening.	`boolean`	no	`true`	—
`output_format` Output format of the upscaled image.	`string`	no	`jpeg`	`jpegpng`
`upscale_factor` Factor to upscale the image by (e.g. 2.0 doubles width and height)	`number`	no	`2`	1–4
`subject_detection` Subject detection mode for the image enhancement. Applies to standard enhance and Recovery V2 models.	`string`	no	`All`	`AllForegroundBackground`
`autoprompt` Enable automatic prompt generation for generative upscaling. Applies to Redefine model only.	`boolean`	no	`—`	—
`texture` Texture detail level for generative upscaling (1-5). Applies to Redefine model only.	`integer`	no	`—`	1–5
`prompt` Text prompt to guide generative upscaling (max 1024 chars). Applies to Redefine model only.	`string`	no	`—`	max 1024 chars
`face_enhancement_strength` Strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled.	`number`	no	`0.8`	0–1
`options` Platform-specific options for safety checks and Picsart Drive integration.	`object`	no	`—`	—
└`safety_checks` Safety check configuration.	`object`	no	`—`	—
└`enabled` Enable or disable text safety checks. Defaults to true.	`boolean`	no	`true`	—
└`drive` Picsart Drive storage options. When provided, the result will be saved to the user's Drive.	`object`	no	`—`	—
└`name` Filename to save the result as in Picsart Drive.	`string`	yes	`—`	—
└`attributes` Additional file metadata attributes.	`object`	no	`—`	—
└`folder` Destination folder in Picsart Drive.	`object`	no	`—`	—

Response

Over HTTP the output arrives inside a status envelope, at response.result. ai.apis.run() unwraps that envelope for you and resolves to { result, usage } instead. Either way the result itself is the vendor's own shape.

json

{
  "result": {
    "image": {
      "file_size": 4404019,
      "file_name": "z9RV14K95DvU.png",
      "url": "https://cdn.picsart.com/…/result.jpg",
      "content_type": "image/png"
    }
  }
}

json

{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "image": {
        "file_size": 4404019,
        "file_name": "z9RV14K95DvU.png",
        "url": "https://cdn.picsart.com/…/result.jpg",
        "content_type": "image/png"
      }
    }
  }
}

TopazTopaz Image Upscale API

Params

Result

Other models from Topaz

Install the SDK

Authenticate

Make a request

Parameters

Response

Overview

Make a request

Parameters

Response

Rates