Upscaler Precision - Upscale image
curl --request POST \
--url https://api.magnific.com/v1/ai/image-upscaler-precision \
--header 'Content-Type: application/json' \
--header 'x-magnific-api-key: <api-key>' \
--data '
{
"image": "aSDinaTvuI8gbWludGxpZnk=",
"webhook_url": "<string>",
"sharpen": 50,
"smart_grain": 7,
"ultra_detail": 30,
"filter_nsfw": false
}
'import requests
url = "https://api.magnific.com/v1/ai/image-upscaler-precision"
payload = {
"image": "aSDinaTvuI8gbWludGxpZnk=",
"webhook_url": "<string>",
"sharpen": 50,
"smart_grain": 7,
"ultra_detail": 30,
"filter_nsfw": False
}
headers = {
"x-magnific-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-magnific-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
image: 'aSDinaTvuI8gbWludGxpZnk=',
webhook_url: '<string>',
sharpen: 50,
smart_grain: 7,
ultra_detail: 30,
filter_nsfw: false
})
};
fetch('https://api.magnific.com/v1/ai/image-upscaler-precision', 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.magnific.com/v1/ai/image-upscaler-precision",
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([
'image' => 'aSDinaTvuI8gbWludGxpZnk=',
'webhook_url' => '<string>',
'sharpen' => 50,
'smart_grain' => 7,
'ultra_detail' => 30,
'filter_nsfw' => false
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-magnific-api-key: <api-key>"
],
]);
$response = curl_exec($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.magnific.com/v1/ai/image-upscaler-precision"
payload := strings.NewReader("{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-magnific-api-key", "<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.magnific.com/v1/ai/image-upscaler-precision")
.header("x-magnific-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.magnific.com/v1/ai/image-upscaler-precision")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-magnific-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}"
response = http.request(request)
puts response.read_body{
"data": {
"generated": [
"https://openapi-generator.tech",
"https://openapi-generator.tech"
],
"task_id": "046b6c7f-0b8a-43b9-b35d-6489e6daee91",
"status": "CREATED"
}
}Upscaler Precision V1
Upscaler Precision - Upscale image
Upscales an image while adding new visual elements or details. This endpoint may modify the original image content based on the prompt and inferred context.
POST
/
v1
/
ai
/
image-upscaler-precision
Upscaler Precision - Upscale image
curl --request POST \
--url https://api.magnific.com/v1/ai/image-upscaler-precision \
--header 'Content-Type: application/json' \
--header 'x-magnific-api-key: <api-key>' \
--data '
{
"image": "aSDinaTvuI8gbWludGxpZnk=",
"webhook_url": "<string>",
"sharpen": 50,
"smart_grain": 7,
"ultra_detail": 30,
"filter_nsfw": false
}
'import requests
url = "https://api.magnific.com/v1/ai/image-upscaler-precision"
payload = {
"image": "aSDinaTvuI8gbWludGxpZnk=",
"webhook_url": "<string>",
"sharpen": 50,
"smart_grain": 7,
"ultra_detail": 30,
"filter_nsfw": False
}
headers = {
"x-magnific-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-magnific-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
image: 'aSDinaTvuI8gbWludGxpZnk=',
webhook_url: '<string>',
sharpen: 50,
smart_grain: 7,
ultra_detail: 30,
filter_nsfw: false
})
};
fetch('https://api.magnific.com/v1/ai/image-upscaler-precision', 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.magnific.com/v1/ai/image-upscaler-precision",
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([
'image' => 'aSDinaTvuI8gbWludGxpZnk=',
'webhook_url' => '<string>',
'sharpen' => 50,
'smart_grain' => 7,
'ultra_detail' => 30,
'filter_nsfw' => false
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-magnific-api-key: <api-key>"
],
]);
$response = curl_exec($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.magnific.com/v1/ai/image-upscaler-precision"
payload := strings.NewReader("{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-magnific-api-key", "<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.magnific.com/v1/ai/image-upscaler-precision")
.header("x-magnific-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.magnific.com/v1/ai/image-upscaler-precision")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-magnific-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"image\": \"aSDinaTvuI8gbWludGxpZnk=\",\n \"webhook_url\": \"<string>\",\n \"sharpen\": 50,\n \"smart_grain\": 7,\n \"ultra_detail\": 30,\n \"filter_nsfw\": false\n}"
response = http.request(request)
puts response.read_body{
"data": {
"generated": [
"https://openapi-generator.tech",
"https://openapi-generator.tech"
],
"task_id": "046b6c7f-0b8a-43b9-b35d-6489e6daee91",
"status": "CREATED"
}
}Authorizations
Your Magnific API key. Required for authentication. Learn how to obtain an API key
Body
application/json
Base64 image to upscale
Webhook URL
Sharpen the image
Required range:
0 <= x <= 100Smart grain
Required range:
0 <= x <= 100Ultra detail
Required range:
0 <= x <= 100Enable NSFW content filtering on the output image
Response
OK
Show child attributes
Show child attributes
Example:
{
"task_id": "046b6c7f-0b8a-43b9-b35d-6489e6daee91",
"status": "CREATED",
"generated": [
"https://openapi-generator.tech",
"https://openapi-generator.tech"
]
}
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