Gpt image 2
curl --request POST \
--url https://api.tensormaster.com/v1/tlimages/proimage \
--header 'Authorization: <api-key>' \
--header 'Content-Type: multipart/form-data' \
--form model=gpt-image-2 \
--form 'prompt=Create a premium product photo on a clean studio background' \
--form size=16:9 \
--form n=1import requests
url = "https://api.tensormaster.com/v1/tlimages/proimage"
payload = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"
headers = {
"Authorization": "<api-key>",
"Content-Type": "multipart/form-data"
}
response = requests.post(url, data=payload, headers=headers)
print(response.text)const form = new FormData();
form.append('model', 'gpt-image-2');
form.append('prompt', 'Create a premium product photo on a clean studio background');
form.append('size', '16:9');
form.append('n', '1');
const options = {method: 'POST', headers: {Authorization: '<api-key>'}};
options.body = form;
fetch('https://api.tensormaster.com/v1/tlimages/proimage', 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.tensormaster.com/v1/tlimages/proimage",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($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.tensormaster.com/v1/tlimages/proimage"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
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.tensormaster.com/v1/tlimages/proimage")
.header("Authorization", "<api-key>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.tensormaster.com/v1/tlimages/proimage")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"code": 1000,
"msg": "Task created successfully",
"data": {
"taskid": "abcd_1234567890abcdef"
}
}Image Generation
Gpt image 2
Generate images asynchronously with the GPT Image 2 model family. The model name selects the 1K, 2K, or 4K resolution tier, and output quality is fixed to high. The request returns a task ID.
POST
/
v1
/
tlimages
/
proimage
Gpt image 2
curl --request POST \
--url https://api.tensormaster.com/v1/tlimages/proimage \
--header 'Authorization: <api-key>' \
--header 'Content-Type: multipart/form-data' \
--form model=gpt-image-2 \
--form 'prompt=Create a premium product photo on a clean studio background' \
--form size=16:9 \
--form n=1import requests
url = "https://api.tensormaster.com/v1/tlimages/proimage"
payload = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"
headers = {
"Authorization": "<api-key>",
"Content-Type": "multipart/form-data"
}
response = requests.post(url, data=payload, headers=headers)
print(response.text)const form = new FormData();
form.append('model', 'gpt-image-2');
form.append('prompt', 'Create a premium product photo on a clean studio background');
form.append('size', '16:9');
form.append('n', '1');
const options = {method: 'POST', headers: {Authorization: '<api-key>'}};
options.body = form;
fetch('https://api.tensormaster.com/v1/tlimages/proimage', 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.tensormaster.com/v1/tlimages/proimage",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($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.tensormaster.com/v1/tlimages/proimage"
payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
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.tensormaster.com/v1/tlimages/proimage")
.header("Authorization", "<api-key>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.tensormaster.com/v1/tlimages/proimage")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\nCreate a premium product photo on a clean studio background\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_body{
"code": 1000,
"msg": "Task created successfully",
"data": {
"taskid": "abcd_1234567890abcdef"
}
}Authorizations
API Key authentication, please include the Authorization field in the request header
Body
multipart/form-data
GPT Image 2 model and output resolution tier
Available options:
gpt-image-2, gpt-image-2-2k, gpt-image-2-4k Example:
"gpt-image-2"
Image generation instructions
Maximum string length:
32000Example:
"Create a premium product photo on a clean studio background"
Output aspect ratio. Use auto, one of 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16, 21:9, 5:4, or 4:5, or a common WxH pixel size such as 1920x1080 or 512x512. Pixel dimensions are mapped to the nearest supported aspect ratio; delivered dimensions follow the selected model tier.
Example:
"16:9"
Number of images to generate
Required range:
1 <= x <= 10⌘I
