Create image generation
curl --request POST \
--url https://api-direct.dimilinks.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<string>",
"model": "gpt-image-2",
"n": 1,
"size": "1:1",
"output_format": "png",
"output_compression": 123,
"background": "auto",
"moderation": "auto",
"wait_for_result": true,
"image_urls": "<string>",
"mask_url": "<string>",
"response_format": "b64_json",
"user": "<string>"
}
'import requests
url = "https://api-direct.dimilinks.com/v1/images/generations"
payload = {
"prompt": "<string>",
"model": "gpt-image-2",
"n": 1,
"size": "1:1",
"output_format": "png",
"output_compression": 123,
"background": "auto",
"moderation": "auto",
"wait_for_result": True,
"image_urls": "<string>",
"mask_url": "<string>",
"response_format": "b64_json",
"user": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
model: 'gpt-image-2',
n: 1,
size: '1:1',
output_format: 'png',
output_compression: 123,
background: 'auto',
moderation: 'auto',
wait_for_result: true,
image_urls: '<string>',
mask_url: '<string>',
response_format: 'b64_json',
user: '<string>'
})
};
fetch('https://api-direct.dimilinks.com/v1/images/generations', 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-direct.dimilinks.com/v1/images/generations",
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([
'prompt' => '<string>',
'model' => 'gpt-image-2',
'n' => 1,
'size' => '1:1',
'output_format' => 'png',
'output_compression' => 123,
'background' => 'auto',
'moderation' => 'auto',
'wait_for_result' => true,
'image_urls' => '<string>',
'mask_url' => '<string>',
'response_format' => 'b64_json',
'user' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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-direct.dimilinks.com/v1/images/generations"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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-direct.dimilinks.com/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-direct.dimilinks.com/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "task_xxx",
"data": [],
"created": 1777080000
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}Images / more models
Create image generation (GPT Image 2.5)
Generate images with gpt-image-2.5-flare / gpt-image-2.5-sunburst, billed by token ratio.
POST
/
images
/
generations
Create image generation
curl --request POST \
--url https://api-direct.dimilinks.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<string>",
"model": "gpt-image-2",
"n": 1,
"size": "1:1",
"output_format": "png",
"output_compression": 123,
"background": "auto",
"moderation": "auto",
"wait_for_result": true,
"image_urls": "<string>",
"mask_url": "<string>",
"response_format": "b64_json",
"user": "<string>"
}
'import requests
url = "https://api-direct.dimilinks.com/v1/images/generations"
payload = {
"prompt": "<string>",
"model": "gpt-image-2",
"n": 1,
"size": "1:1",
"output_format": "png",
"output_compression": 123,
"background": "auto",
"moderation": "auto",
"wait_for_result": True,
"image_urls": "<string>",
"mask_url": "<string>",
"response_format": "b64_json",
"user": "<string>"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
model: 'gpt-image-2',
n: 1,
size: '1:1',
output_format: 'png',
output_compression: 123,
background: 'auto',
moderation: 'auto',
wait_for_result: true,
image_urls: '<string>',
mask_url: '<string>',
response_format: 'b64_json',
user: '<string>'
})
};
fetch('https://api-direct.dimilinks.com/v1/images/generations', 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-direct.dimilinks.com/v1/images/generations",
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([
'prompt' => '<string>',
'model' => 'gpt-image-2',
'n' => 1,
'size' => '1:1',
'output_format' => 'png',
'output_compression' => 123,
'background' => 'auto',
'moderation' => 'auto',
'wait_for_result' => true,
'image_urls' => '<string>',
'mask_url' => '<string>',
'response_format' => 'b64_json',
'user' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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-direct.dimilinks.com/v1/images/generations"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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-direct.dimilinks.com/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api-direct.dimilinks.com/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"model\": \"gpt-image-2\",\n \"n\": 1,\n \"size\": \"1:1\",\n \"output_format\": \"png\",\n \"output_compression\": 123,\n \"background\": \"auto\",\n \"moderation\": \"auto\",\n \"wait_for_result\": true,\n \"image_urls\": \"<string>\",\n \"mask_url\": \"<string>\",\n \"response_format\": \"b64_json\",\n \"user\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"task_id": "task_xxx",
"data": [],
"created": 1777080000
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}{
"error": {
"message": "<string>",
"type": "invalid_request_error",
"code": "<string>"
}
}gpt-image-2.5-flare and gpt-image-2.5-sunburst are DimiLinks’ next-generation image models, billed by token ratio. Use async mode (?async=true): creation returns a task_id, then poll with Retrieve image task to fetch the result.
Endpoint
POST https://api-direct.dimilinks.com/v1/images/generations?async=true
Content-Type: application/json
Authorization: Bearer <DIMILINKS_API_KEY>
Text-to-image example
curl "https://api-direct.dimilinks.com/v1/images/generations?async=true" \
-H "Authorization: Bearer $DIMILINKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2.5-flare",
"prompt": "A minimalist brand poster, geometric composition, soft gradients",
"size": "1:1"
}'
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | yes | gpt-image-2.5-flare or gpt-image-2.5-sunburst. |
prompt | string | yes | Image description. |
size | string | no | Aspect ratio or exact pixels, e.g. 1:1, 16:9, 1024x1024. |
image_urls | string[] | no | Public reference image URLs for image-to-image. |
Billing
Both models are billed by token ratio (input 37.5×, output 2×); the actual cost depends on the image size. UseGET /api/pricing for the live rates.
Next step
In async mode, save thetask_id from the response and poll Retrieve image task until completion; sync mode returns image data directly. See Errors for common error codes.Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Query Parameters
Set to true to submit an async image task.
Set to false to submit an async image task.
Body
application/json
1k resolution allows n=1 only; 2k and 4k allow up to 4.
Required range:
1 <= x <= 4Examples:
"1:1"
"16:9"
"3840x2160"
Available options:
1k, 2k, 4k Examples:
"png"
"jpeg"
"webp"
Examples:
"auto"
"transparent"
"opaque"
Examples:
"auto"
"low"
Example:
"b64_json"