Topaz Labs Image Upscale — Precision

Professional photo upscaling powered by Topaz Labs. Gigapixel precision models (Standard V2, High Fidelity, Low Resolution, CGI, Text Refine) enlarge images faithfully up to 4x. Best for photos that must stay true to the original.

Input

Add your inputs and customize the generation settings.

Upload, drag and drop, or paste a public URL.
Selected image

Url of the image to be upscaled

Customize your input with more control.

Calculate credits for your selected settings before generating.

Result & Pricing

Image output — your generated image will appear here.

Your image will appear here

Choose your inputs and customize your settings.

Model pricing (tax excluded) per started megapixel block

SpecificationWebot INR
Rate₹9.58
Calculate credits in the input panel for your selected settings.

Prices, estimates and credit deductions exclude tax. Any applicable tax is charged only when you buy plans or credits.

Rate covers each started 24 MP block. Prices are converted to INR. Credits use your current plan rate.

  • Prices shown are estimates, not final charges. Final billing details will be available in Reports after generation is complete.

API

WEBOT API · Precision

Generate from your server with your WEBOT account credits.

Use your 120-character WEBOT customer key (a–z, A–Z, 0–9). Send Authorization: Bearer YOUR_KEY. Keys are secrets: call from a server, never from public frontend code. Results come from verified webhooks and remain saved if your stream disconnects.
1. Configure your server
WEBOT_BASE_URL=https://webot.online
WEBOT_API_KEY=<your-server-side-WEBOT-key>

This base URL is resolved from verified domain mappings and your direct creator reseller. Forwarded Host headers are not trusted. New custom reseller domains need DNS, TLS and platform verification before activation.

2. Quote, then generate
MethodEndpointPurpose
POSThttps://webot.online/api/v1/models/topaz_upscale_image_precision/quoteValidate input and calculate credits (no deduction).
POSThttps://webot.online/api/v1/models/topaz_upscale_image_precision/requestsReserve quoted credits and queue an asynchronous job.
GEThttps://webot.online/api/v1/models/topaz_upscale_image_precision/requests/{request_id}/resultRead your saved result: 202 pending, 200 terminal.
GEThttps://webot.online/api/v1/models/topaz_upscale_image_precision/requests/{request_id}/eventsAuthenticated SSE: generation / terminal events.

Send JSON {"input":{…}} to quote. Send the same input plus integer quoted_credits to generate, with Authorization: Bearer … and Idempotency-Key. Use a unique 16–128 character key per new job; persist it and reuse the same key and input on any uncertain response. Never retry with a new key: that creates a second chargeable job.

Credits are reserved only after validation and a durable request is saved. A changed quote or insufficient balance returns 409. Credits exclude purchase taxes. The quoted amount is an initial reservation. After generation, the final charge replaces it using confirmed usage. Any verified unused allocation becomes available automatically; additional usage may require more credits. Missing billing stays pending, including for failed jobs.

3. Input example

Save this as input.json. Replace sample prompts, files and media URLs with your own. Schemas do not guarantee provider acceptance of the content.

{
    "image_url": "https://example.com/source.png",
    "crop_to_fill": false,
    "model": "Standard V2",
    "upscale_factor": 2,
    "face_enhancement_creativity": 0,
    "output_format": "jpeg",
    "face_enhancement": true,
    "subject_detection": "All",
    "face_enhancement_strength": 0.8
}
4. Language examples
# Save the model's example input as input.json, then replace prompts/media URLs.
# Requires curl and jq. Store NONCE once for this job; reuse it on any retry.
export NONCE="$(openssl rand -hex 16)"
BASE="${WEBOT_BASE_URL%/}"
jq -n --slurpfile input input.json '{input:$input[0]}' > quote-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/topaz_upscale_image_precision/quote" \
  -H "Authorization: Bearer $WEBOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @quote-body.json > quote.json
CREDITS=$(jq -er '.quote.credits_consumed' quote.json)
jq --argjson credits "$CREDITS" '. + {quoted_credits:$credits}' quote-body.json > request-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/topaz_upscale_image_precision/requests" \
  -H "Authorization: Bearer $WEBOT_API_KEY" -H "Idempotency-Key: $NONCE" \
  -H 'Content-Type: application/json' --data-binary @request-body.json > job.json
# Subscribe; after a nonterminal disconnect, reconnect this SAME URL.
curl --fail-with-body -N "$(jq -er '.events_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
# Read saved output after terminal notification (never call provider status/results).
curl --fail-with-body -sS "$(jq -er '.result_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path, body, nonce) {
  const response = await fetch(base + path, {method:'POST', headers:{
    Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
    ...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
  const json = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(json));
  return json;
}
const {quote} = await post('/api/v1/models/topaz_upscale_image_precision/quote', {input});
const job = await post('/api/v1/models/topaz_upscale_image_precision/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
  const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
  if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
  let buffer = '';
  for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
    buffer += chunk;
    let end;
    while ((end = buffer.indexOf('\n\n')) !== -1) {
      const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
      const data = event.split('\n').find(line => line.startsWith('data: '));
      if (!data) continue;
      const state = JSON.parse(data.slice(6));
      if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
      if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
    }
  }
  await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);
// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL!.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY!;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path: string, body: unknown, nonce?: string) {
  const response = await fetch(base + path, {method:'POST', headers:{
    Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
    ...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
  const json = await response.json();
  if (!response.ok) throw new Error(JSON.stringify(json));
  return json;
}
const {quote} = await post('/api/v1/models/topaz_upscale_image_precision/quote', {input});
const job = await post('/api/v1/models/topaz_upscale_image_precision/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
  const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
  if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
  let buffer = '';
  for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
    buffer += chunk;
    let end;
    while ((end = buffer.indexOf('\n\n')) !== -1) {
      const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
      const data = event.split('\n').find(line => line.startsWith('data: '));
      if (!data) continue;
      const state = JSON.parse(data.slice(6));
      if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
      if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
    }
  }
  await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);
# Python 3.9+, pip install requests
import json, os, time, uuid, requests
base = os.environ['WEBOT_BASE_URL'].rstrip('/')
headers = {'Authorization': 'Bearer ' + os.environ['WEBOT_API_KEY']}
with open('input.json', encoding='utf-8') as file:
    input_data = json.load(file)
nonce = os.environ.get('WEBOT_JOB_NONCE') or str(uuid.uuid4()) # Persist before submitting.
def post(path, body, extra=None):
    response = requests.post(base + path, headers={**headers, **(extra or {})}, json=body, timeout=180)
    response.raise_for_status()
    return response.json()
quote = post('/api/v1/models/topaz_upscale_image_precision/quote', {'input': input_data})['quote']
job = post('/api/v1/models/topaz_upscale_image_precision/requests', {'input': input_data, 'quoted_credits': quote['credits_consumed']}, {'Idempotency-Key': nonce})
state = job
while not state['terminal'] or state.get('financial_pending', False):
    # Reconnect while nonterminal; this reads WEBOT's database, never a provider status API.
    with requests.get(job['events_url'], headers=headers, stream=True, timeout=(10, 40)) as stream:
        stream.raise_for_status()
        for line in stream.iter_lines(decode_unicode=True):
            if line and line.startswith('data: '):
                state = json.loads(line[6:])
                if 'status' not in state: raise RuntimeError(state)
                if state['terminal'] and not state.get('financial_pending', False): break
    if not state['terminal'] or state.get('financial_pending', False): time.sleep(1.5)
print(state['output'] if state['status'] == 'completed' else state['error'])
<?php // PHP 8.1+ with cURL
$base = rtrim(getenv('WEBOT_BASE_URL'), '/');
$input = json_decode(file_get_contents('input.json'), false, 64, JSON_THROW_ON_ERROR);
$nonce = getenv('WEBOT_JOB_NONCE') ?: bin2hex(random_bytes(16)); // Persist this before submission.
function post(string $path, array $body, ?string $nonce = null): array {
    global $base;
    $headers = ['Authorization: Bearer '.getenv('WEBOT_API_KEY'), 'Content-Type: application/json'];
    if ($nonce) $headers[] = 'Idempotency-Key: '.$nonce;
    $ch = curl_init($base.$path);
    curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_POST=>true,
        CURLOPT_TIMEOUT=>180, CURLOPT_HTTPHEADER=>$headers,
        CURLOPT_POSTFIELDS=>json_encode($body, JSON_THROW_ON_ERROR)]);
    $raw = curl_exec($ch); $status = curl_getinfo($ch, CURLINFO_HTTP_CODE); curl_close($ch);
    if ($raw === false || $status < 200 || $status >= 300) throw new RuntimeException('WEBOT HTTP '.$status);
    return json_decode($raw, true, 64, JSON_THROW_ON_ERROR);
}
$quote = post('/api/v1/models/topaz_upscale_image_precision/quote', ['input'=>$input])['quote'];
$job = post('/api/v1/models/topaz_upscale_image_precision/requests', ['input'=>$input, 'quoted_credits'=>$quote['credits_consumed']], $nonce);
echo json_encode($job, JSON_PRETTY_PRINT); // Connect to events_url with the same Bearer header.
// Go 1.20+; save as main.go.
package main
import ("bytes"; "encoding/json"; "fmt"; "io"; "net/http"; "os"; "strings"; "time"; "crypto/rand"; "encoding/hex")
func main() {
    base := strings.TrimRight(os.Getenv("WEBOT_BASE_URL"), "/")
    raw, err := os.ReadFile("input.json"); if err != nil { panic(err) }
    nonce := os.Getenv("WEBOT_JOB_NONCE")
    if nonce == "" { b := make([]byte,16); if _,err:=rand.Read(b);err!=nil {panic(err)}; nonce=hex.EncodeToString(b) }
    // Persist nonce before the submission; reuse on ambiguous responses.
    client := &http.Client{Timeout:180*time.Second}
    post := func(path string, body any, id string) map[string]any {
        data, err := json.Marshal(body); if err != nil {panic(err)}
        req, err := http.NewRequest("POST",base+path,bytes.NewReader(data)); if err!=nil {panic(err)}
        req.Header.Set("Authorization","Bearer "+os.Getenv("WEBOT_API_KEY")); req.Header.Set("Content-Type","application/json")
        if id!="" {req.Header.Set("Idempotency-Key",id)}
        res,err:=client.Do(req); if err!=nil {panic(err)}; defer res.Body.Close()
        data,err=io.ReadAll(res.Body); if err!=nil {panic(err)}
        if res.StatusCode<200||res.StatusCode>=300 {panic(string(data))}
        var result map[string]any; if err=json.Unmarshal(data,&result);err!=nil {panic(err)}; return result
    }
    input:=json.RawMessage(raw)
    quote:=post("/api/v1/models/topaz_upscale_image_precision/quote",map[string]any{"input":input},"")["quote"].(map[string]any)
    job:=post("/api/v1/models/topaz_upscale_image_precision/requests",map[string]any{"input":input,"quoted_credits":quote["credits_consumed"]},nonce)
    fmt.Println(job) // Stream events_url with the same Authorization header.
}
// Java 11+, Jackson databind dependency; class Main in Main.java.
import java.net.URI;
import java.net.http.*;
import java.nio.file.*;
import java.time.Duration;
import java.util.UUID;
import com.fasterxml.jackson.databind.*;
import com.fasterxml.jackson.databind.node.ObjectNode;
public class Main {
  static final ObjectMapper json = new ObjectMapper();
  static final HttpClient client = HttpClient.newHttpClient();
  static final String base = System.getenv("WEBOT_BASE_URL").replaceAll("/$", "");
  static JsonNode post(String path, JsonNode body, String nonce) throws Exception {
    var b = HttpRequest.newBuilder(URI.create(base+path)).timeout(Duration.ofSeconds(180))
      .header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY")).header("Content-Type","application/json")
      .POST(HttpRequest.BodyPublishers.ofString(json.writeValueAsString(body)));
    if(nonce!=null)b.header("Idempotency-Key",nonce);
    var r=client.send(b.build(),HttpResponse.BodyHandlers.ofString());
    if(r.statusCode()<200||r.statusCode()>=300)throw new IllegalStateException(r.body());
    return json.readTree(r.body());
  }
  public static void main(String[] args) throws Exception {
    var input=json.readTree(Files.readString(Path.of("input.json")));
    ObjectNode body=json.createObjectNode();body.set("input",input);
    var quote=post("/api/v1/models/topaz_upscale_image_precision/quote",body,null).get("quote");
    body.put("quoted_credits",quote.get("credits_consumed").asInt());
    String nonce=System.getenv("WEBOT_JOB_NONCE");if(nonce==null)nonce=UUID.randomUUID().toString(); // Persist before POST.
    var job=post("/api/v1/models/topaz_upscale_image_precision/requests",body,nonce);System.out.println(job);
    // Subscribe to job.events_url with Authorization; use BodyHandlers.ofLines().
  }
}
// .NET 8 console app, top-level statements.
using System.Net.Http;
using System.Text;
using System.Text.Json.Nodes;
var client = new HttpClient { Timeout = TimeSpan.FromSeconds(180) };
var root = Environment.GetEnvironmentVariable("WEBOT_BASE_URL")!.TrimEnd('/');
var key = Environment.GetEnvironmentVariable("WEBOT_API_KEY");
async Task<JsonNode> Post(string path, JsonNode body, string? nonce = null) {
    using var req = new HttpRequestMessage(HttpMethod.Post, root + path);
    req.Headers.Add("Authorization", "Bearer " + key);
    if (nonce != null) req.Headers.Add("Idempotency-Key", nonce);
    req.Content = new StringContent(body.ToJsonString(), Encoding.UTF8, "application/json");
    using var res = await client.SendAsync(req);
    var raw = await res.Content.ReadAsStringAsync();res.EnsureSuccessStatusCode();
    return JsonNode.Parse(raw)!;
}
var input = JsonNode.Parse(await File.ReadAllTextAsync("input.json"));
var body = new JsonObject { ["input"] = input };
var quote = await Post("/api/v1/models/topaz_upscale_image_precision/quote", body);
body["quoted_credits"] = quote["quote"]!["credits_consumed"]!.GetValue<int>();
var nonce = Environment.GetEnvironmentVariable("WEBOT_JOB_NONCE") ?? Guid.NewGuid().ToString(); // Persist before submitting.
var job = await Post("/api/v1/models/topaz_upscale_image_precision/requests", body, nonce);
Console.WriteLine(job); // Subscribe to events_url with the same Bearer header and ResponseHeadersRead.
# Ruby 3+, standard library only.
require 'net/http'
require 'json'
require 'securerandom'
base = ENV.fetch('WEBOT_BASE_URL').sub(%r{/$}, '')
post = lambda do |path, body, nonce = nil|
  uri = URI(base + path)
  req = Net::HTTP::Post.new(uri)
  req['Authorization'] = 'Bearer ' + ENV.fetch('WEBOT_API_KEY')
  req['Content-Type'] = 'application/json'
  req['Idempotency-Key'] = nonce if nonce
  req.body = JSON.generate(body)
  res = Net::HTTP.start(uri.host, uri.port, use_ssl: true, read_timeout: 180) { |http| http.request(req) }
  raise res.body unless res.is_a?(Net::HTTPSuccess)
  JSON.parse(res.body)
end
input = JSON.parse(File.read('input.json'))
quote = post.call('/api/v1/models/topaz_upscale_image_precision/quote', {'input' => input})['quote']
nonce = ENV['WEBOT_JOB_NONCE'] || SecureRandom.uuid # Persist this before submission.
job = post.call('/api/v1/models/topaz_upscale_image_precision/requests', {'input' => input, 'quoted_credits' => quote['credits_consumed']}, nonce)
puts JSON.pretty_generate(job) # Subscribe to events_url with the same Authorization header.
// Swift 5.9 server-side/CLI only. Do not embed customer keys in shipped apps.
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
@main struct Main {
 static func main() async throws {
  let env=ProcessInfo.processInfo.environment
  let base=env["WEBOT_BASE_URL"]!.trimmingCharacters(in: CharacterSet(charactersIn:"/"))
  let input=try JSONSerialization.jsonObject(with: Data(contentsOf:URL(fileURLWithPath:"input.json")))
  func post(_ path:String,_ body:[String:Any],_ nonce:String?=nil) async throws -> [String:Any] {
   var req=URLRequest(url:URL(string:base+path)!);req.httpMethod="POST";req.timeoutInterval=180
   req.setValue("Bearer "+env["WEBOT_API_KEY"]!,forHTTPHeaderField:"Authorization")
   req.setValue("application/json",forHTTPHeaderField:"Content-Type")
   if let nonce {req.setValue(nonce,forHTTPHeaderField:"Idempotency-Key")}
   req.httpBody=try JSONSerialization.data(withJSONObject:body)
   let (data,res)=try await URLSession.shared.data(for:req)
   guard let http=res as? HTTPURLResponse,(200..<300).contains(http.statusCode) else {throw NSError(domain:"WEBOT",code:1)}
   return try JSONSerialization.jsonObject(with:data) as! [String:Any]
  }
  let quote=try await post("/api/v1/models/topaz_upscale_image_precision/quote",["input":input])["quote"] as! [String:Any]
  let nonce=env["WEBOT_JOB_NONCE"] ?? UUID().uuidString // Persist before submission.
  let job=try await post("/api/v1/models/topaz_upscale_image_precision/requests",["input":input,"quoted_credits":quote["credits_consumed"]!],nonce)
  print(job) // Subscribe to events_url with the same Authorization header.
 }
}
// Server-side Kotlin/JVM 17+, Gradle dependencies: OkHttp 4.12, org.json 20240303.
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.File
import java.util.UUID
import java.util.concurrent.TimeUnit
fun main() {
 val base=System.getenv("WEBOT_BASE_URL").trimEnd('/')
 val client=OkHttpClient.Builder().readTimeout(180,TimeUnit.SECONDS).build()
 fun post(path:String,body:JSONObject,nonce:String?=null):JSONObject {
  val b=Request.Builder().url(base+path).header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY"))
   .post(body.toString().toRequestBody("application/json".toMediaType()))
  if(nonce!=null)b.header("Idempotency-Key",nonce)
  return client.newCall(b.build()).execute().use {res ->
   val raw=res.body!!.string();check(res.isSuccessful){raw};JSONObject(raw)
  }
 }
 val body=JSONObject().put("input",JSONObject(File("input.json").readText()))
 val quote=post("/api/v1/models/topaz_upscale_image_precision/quote",body).getJSONObject("quote")
 body.put("quoted_credits",quote.getInt("credits_consumed"))
 val nonce=System.getenv("WEBOT_JOB_NONCE") ?: UUID.randomUUID().toString() // Persist before submission.
 val job=post("/api/v1/models/topaz_upscale_image_precision/requests",body,nonce)
 println(job) // Subscribe to events_url with the same Authorization header.
}
5. Receive all results

The response includes a stable WEBOT request_id, events_url and result_url. Subscribe with a Bearer-authenticated HTTP stream. Nonterminal streams end after 25 seconds; reconnect to the same URL after at least 1.5 seconds. Current saved state is replayed immediately, including completion that happened while disconnected. A terminal event contains the result envelope. The JSON terminal flag describes generation completion. Keep reconnecting while financial_pending is true; stop after the terminal event confirms financial settlement. Never poll provider status/results. Native browser EventSource cannot send a Bearer header; keep the key on your server.

Completed output contains the full model result, including every generated media/document item, not just the first URL. Failed output is null with error and refund_state. Results are strictly limited to the key owner, including on reseller domains. Model-independent aliases: /api/v1/requests/{request_id}/result and /events. Revoking a key blocks subsequent reads and streams; saved results remain accessible with another valid key of the same account.

6. Schemas and parameter defaults

Required fields are marked with *. Required text must contain non-whitespace content. Defaults apply when an optional parameter is omitted; null, false, 0 and an empty array are distinct values. “No documented default” means WEBOT does not invent one. Examples are sample inputs, not defaults. WEBOT generation constraints can require an explicit value even when the provider publishes an automatic default.

Input schema · fields, constraints and defaults
ParameterTypeRequiredDefault when omittedDescription / constraints
crop_to_fillbooleanNofalse
denoisenumber | nullNoNo documented defaultDenoising level (0.0-1.0). Default varies by model.
modelstringNo"Standard V2"Precision upscaling model. Standard V2 fits most photos; High Fidelity V3/V2 preserve detail in professional shots; Low Resolution V2 recovers compressed sources; CGI targets art and rendered graphics; Text Refine keeps text and shapes crisp; Faces restores facial detail with Face Recovery 3.
enum: ["Standard V2","High Fidelity V3","High Fidelity V2","Low Resolution V2","CGI","Text Refine","Faces"]
upscale_factornumberNo2Factor to upscale the image by (e.g. 2.0 doubles width and height)
minimum: 1 · maximum: 4
face_enhancement_creativitynumberNo0Creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled.
minimum: 0 · maximum: 1
sharpennumber | nullNoNo documented defaultSharpening level (0.0-1.0). Default varies by model.
image_urlstringYes *No documented defaultUrl of the image to be upscaled
minLength: 1
output_formatstringNo"jpeg"Output format of the upscaled image.
enum: ["jpeg","png"]
face_enhancementbooleanNotrueWhether to apply face enhancement to the image.
subject_detectionstringNo"All"Subject detection mode for the image enhancement.
enum: ["All","Foreground","Background"]
face_enhancement_strengthnumberNo0.8Strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled.
minimum: 0 · maximum: 1
strengthnumber | nullNoNo documented defaultEnhancement strength (0.01-1.0). Applies to Text Refine model only.
fix_compressionnumber | nullNoNo documented defaultCompression artifact removal level (0.0-1.0). Not supported by the CGI model.
enable_safety_checkerbooleanNotrueAuthorized callers may set false to request relaxed screening.
{
    "x-webot-order-properties": [
        "image_url",
        "model",
        "upscale_factor",
        "crop_to_fill",
        "output_format",
        "subject_detection",
        "face_enhancement",
        "face_enhancement_creativity",
        "face_enhancement_strength",
        "sharpen",
        "denoise",
        "fix_compression",
        "strength",
        "enable_safety_checker"
    ],
    "properties": {
        "crop_to_fill": {
            "type": "boolean",
            "title": "Crop To Fill",
            "default": false
        },
        "denoise": {
            "anyOf": [
                {
                    "type": "number",
                    "maximum": 1,
                    "minimum": 0
                },
                {
                    "type": "null"
                }
            ],
            "description": "Denoising level (0.0-1.0). Default varies by model.",
            "title": "Denoise"
        },
        "model": {
            "title": "Model",
            "default": "Standard V2",
            "type": "string",
            "description": "Precision upscaling model. Standard V2 fits most photos; High Fidelity V3/V2 preserve detail in professional shots; Low Resolution V2 recovers compressed sources; CGI targets art and rendered graphics; Text Refine keeps text and shapes crisp; Faces restores facial detail with Face Recovery 3.",
            "enum": [
                "Standard V2",
                "High Fidelity V3",
                "High Fidelity V2",
                "Low Resolution V2",
                "CGI",
                "Text Refine",
                "Faces"
            ]
        },
        "upscale_factor": {
            "minimum": 1,
            "type": "number",
            "description": "Factor to upscale the image by (e.g. 2.0 doubles width and height)",
            "maximum": 4,
            "title": "Upscale Factor",
            "default": 2
        },
        "face_enhancement_creativity": {
            "minimum": 0,
            "type": "number",
            "description": "Creativity level for face enhancement. 0.0 means no creativity, 1.0 means maximum creativity. Ignored if face enhancement is disabled.",
            "maximum": 1,
            "title": "Face Enhancement Creativity",
            "default": 0
        },
        "sharpen": {
            "anyOf": [
                {
                    "type": "number",
                    "maximum": 1,
                    "minimum": 0
                },
                {
                    "type": "null"
                }
            ],
            "description": "Sharpening level (0.0-1.0). Default varies by model.",
            "title": "Sharpen"
        },
        "image_url": {
            "minLength": 1,
            "examples": [
                "https://storage.googleapis.com/falserverless/model_tests/codeformer/codeformer_poor_1.jpeg"
            ],
            "type": "string",
            "description": "Url of the image to be upscaled",
            "title": "Image Url"
        },
        "output_format": {
            "default": "jpeg",
            "type": "string",
            "description": "Output format of the upscaled image.",
            "title": "Output Format",
            "enum": [
                "jpeg",
                "png"
            ]
        },
        "face_enhancement": {
            "type": "boolean",
            "description": "Whether to apply face enhancement to the image.",
            "title": "Face Enhancement",
            "default": true
        },
        "subject_detection": {
            "default": "All",
            "type": "string",
            "description": "Subject detection mode for the image enhancement.",
            "title": "Subject Detection",
            "enum": [
                "All",
                "Foreground",
                "Background"
            ]
        },
        "face_enhancement_strength": {
            "minimum": 0,
            "type": "number",
            "description": "Strength of the face enhancement. 0.0 means no enhancement, 1.0 means maximum enhancement. Ignored if face enhancement is disabled.",
            "maximum": 1,
            "title": "Face Enhancement Strength",
            "default": 0.8
        },
        "strength": {
            "anyOf": [
                {
                    "type": "number",
                    "maximum": 1,
                    "minimum": 0.01
                },
                {
                    "type": "null"
                }
            ],
            "description": "Enhancement strength (0.01-1.0). Applies to Text Refine model only.",
            "title": "Strength"
        },
        "fix_compression": {
            "anyOf": [
                {
                    "type": "number",
                    "maximum": 1,
                    "minimum": 0
                },
                {
                    "type": "null"
                }
            ],
            "description": "Compression artifact removal level (0.0-1.0). Not supported by the CGI model.",
            "title": "Fix Compression"
        },
        "enable_safety_checker": {
            "description": "Authorized callers may set false to request relaxed screening.",
            "default": true,
            "title": "Enable Safety Checker",
            "type": "boolean"
        }
    },
    "type": "object",
    "required": [
        "image_url"
    ],
    "title": "ImagePrecisionUpscaleRequest"
}
Output (inside result.output) schema · fields, constraints and defaults
ParameterTypeRequiredDefault when omittedDescription / constraints
imageobjectYes *No documented defaultThe upscaled image.
image.urlstringYes *No documented defaultThe URL where the file can be downloaded from.
image.file_namestring | nullNoNo documented defaultThe name of the file. It will be auto-generated if not provided.
image.file_sizeinteger | nullNoNo documented defaultThe size of the file in bytes.
image.content_typestring | nullNoNo documented defaultThe mime type of the file.
{
    "properties": {
        "image": {
            "properties": {
                "url": {
                    "description": "The URL where the file can be downloaded from.",
                    "type": "string",
                    "title": "Url"
                },
                "file_name": {
                    "examples": [
                        "z9RV14K95DvU.png"
                    ],
                    "description": "The name of the file. It will be auto-generated if not provided.",
                    "title": "File Name",
                    "anyOf": [
                        {
                            "type": "string"
                        },
                        {
                            "type": "null"
                        }
                    ]
                },
                "file_size": {
                    "examples": [
                        4404019
                    ],
                    "description": "The size of the file in bytes.",
                    "title": "File Size",
                    "anyOf": [
                        {
                            "type": "integer"
                        },
                        {
                            "type": "null"
                        }
                    ]
                },
                "content_type": {
                    "examples": [
                        "image/png"
                    ],
                    "description": "The mime type of the file.",
                    "title": "Content Type",
                    "anyOf": [
                        {
                            "type": "string"
                        },
                        {
                            "type": "null"
                        }
                    ]
                }
            },
            "required": [
                "url"
            ],
            "x-webot-order-properties": [
                "url",
                "content_type",
                "file_name",
                "file_size"
            ],
            "type": "object",
            "title": "File",
            "description": "The upscaled image."
        }
    },
    "required": [
        "image"
    ],
    "x-webot-order-properties": [
        "image"
    ],
    "type": "object",
    "title": "ImageUpscaleOutput"
}
Errors and limits

401 invalid/expired/revoked key · 403 key scope or domain mismatch · 404 unavailable model or unowned request · 409 quote changed, balance, concurrency or idempotency conflict · 413 JSON exceeds 2 MB · 415 wrong content type · 422 invalid fields/media · 429 rate limit · 503 temporary/ambiguous submission. Respect Retry-After. Current limits per account: 12 quotes/submissions, 120 result reads and 8 stream connections per minute. One submission preparation at a time per account. Do not automatically regenerate failed jobs.

Your requests

Topaz Labs Image Upscale - Precision · Your account only

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Your model analytics

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How to use Topaz Labs Image Upscale — Precision

This model enlarges an image or video and tries to improve detail. It may invent small details; enlarging cannot guarantee recovery of the original information.

Required inputs

  • Image Url: The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link.

Workflow

  1. Prepare your source material and fill the required inputs above. Review the supported settings for this model.
  2. Sign in to calculate the credit estimate. Review the estimate before choosing Generate.
  3. Keep this model page open while the request runs. Completed results arrive in the result area; use the available player or download controls to review the output.

When to use this workflow

  • Prepare a larger version of a small image or clip.
  • Improve the appearance of low-resolution material.

Key settings

Image Url
The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link. Minimum characters: 1
Model
The model variant or processing mode. Names such as fast or pro indicate different variants, not a universal quality scale. Use the options listed here and compare a small sample. Supported choices: "Standard V2", "High Fidelity V3", "High Fidelity V2", "Low Resolution V2", "CGI", "Text Refine", "Faces"
Upscale Factor
A scale or enlargement amount. For an image enlargement factor, 2× doubles both width and height, producing four times as many pixels. Other uses of “scale” can differ; check this model’s description. Minimum: 1. Maximum: 4
Crop To Fill
Automatically remove or crop parts according to this tool’s rule. Check whether it trims time from audio/video or crops the image area.
Output Format
The file type of the saved result. Choose a format accepted by the app where you will use it. PNG can support transparency; JPEG generally does not. Available image, audio, video or 3D formats depend on this model. Supported choices: "jpeg", "png"
Subject Detection
The object, category or part this tool should act on. Use the exact supported names, or a clear description when free text is allowed. This narrows the target rather than changing every item in the scene. Supported choices: "All", "Foreground", "Background"

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Product image workflow · Image input choices

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