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POST
/
images
/
upscale
Typescript (SDK)
import { Crevio } from "@crevio/sdk";

const crevio = new Crevio({
  apiKey: process.env["CREVIO_API_KEY"] ?? "",
});

async function run() {
  const result = await crevio.images.upscale({
    input: {
      imageUrl: "https://difficult-contrail.biz/",
    },
  });

  console.log(result);
}

run();
curl --request POST \
--url https://api.crevio.co/v1/images/upscale \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"input": {
"image_url": "<string>",
"scale": 2,
"output_format": "jpeg"
},
"model": "fal-ai/topaz/upscale/image"
}
'
import requests

url = "https://api.crevio.co/v1/images/upscale"

payload = {
"input": {
"image_url": "<string>",
"scale": 2,
"output_format": "jpeg"
},
"model": "fal-ai/topaz/upscale/image"
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
input: {image_url: '<string>', scale: 2, output_format: 'jpeg'},
model: 'fal-ai/topaz/upscale/image'
})
};

fetch('https://api.crevio.co/v1/images/upscale', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://api.crevio.co/v1/images/upscale",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'input' => [
'image_url' => '<string>',
'scale' => 2,
'output_format' => 'jpeg'
],
'model' => 'fal-ai/topaz/upscale/image'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://api.crevio.co/v1/images/upscale"

payload := strings.NewReader("{\n \"input\": {\n \"image_url\": \"<string>\",\n \"scale\": 2,\n \"output_format\": \"jpeg\"\n },\n \"model\": \"fal-ai/topaz/upscale/image\"\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Authorization", "<api-key>")
req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.crevio.co/v1/images/upscale")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"input\": {\n \"image_url\": \"<string>\",\n \"scale\": 2,\n \"output_format\": \"jpeg\"\n },\n \"model\": \"fal-ai/topaz/upscale/image\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.crevio.co/v1/images/upscale")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"input\": {\n \"image_url\": \"<string>\",\n \"scale\": 2,\n \"output_format\": \"jpeg\"\n },\n \"model\": \"fal-ai/topaz/upscale/image\"\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "object": "<string>",
  "type": "<string>",
  "model": "<string>",
  "progress": 123,
  "input": {},
  "result": {},
  "error": "<string>",
  "error_code": "<string>",
  "credits_used": 123,
  "provider_request_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z"
}
{
"error": {
"type": "invalid_request_error",
"code": "bad_request",
"message": "The request was malformed or contained invalid parameters"
}
}
{
"error": {
"type": "invalid_request_error",
"code": "authentication_required",
"message": "You did not provide an API key."
}
}
{
"error": {
"message": "<string>",
"code": "<string>",
"param": "<string>",
"errors": {}
}
}
{
"error": {
"type": "validation_error",
"code": "validation_failed",
"message": "Email is required",
"errors": {
"email": [
"can't be blank"
]
}
}
}
{
"error": {
"type": "api_error",
"code": "internal_error",
"message": "An unexpected error occurred"
}
}

Authorizations

Authorization
string
header
required

API key in the format: Bearer {api_token}

Body

application/json
input
object
required

Model-specific input, forwarded to fal verbatim. image_url is required.

model
enum<string>

fal.ai model id. Defaults to fal-ai/topaz/upscale/image.

Available options:
fal-ai/topaz/upscale/image

Response

Upscale job queued

id
string
required
object
string
required
type
string
required
status
enum<string>
required
Available options:
queued,
processing,
completed,
failed,
cancelled
model
string
required
progress
integer
required
input
object
required
result
object | null
required
error
string | null
required
error_code
string | null
required
credits_used
integer | null
required
provider_request_id
string | null
required
created_at
string<date-time>
required
started_at
string<date-time> | null
required
completed_at
string<date-time> | null
required