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>"
}
}图片 / 更多模型
Create image generation (Nano Banana Pro)
用 nano-banana-pro 生成图片,支持异步任务与分辨率档位计费。
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>"
}
}nano-banana-pro 是 DimiLinks 的图片生成模型,按分辨率档位计费。推荐使用异步模式(?async=true),创建后返回 task_id,用 任务查询 轮询并获取成图。
请求地址
POST https://api-direct.dimilinks.com/v1/images/generations?async=true
Content-Type: application/json
Authorization: Bearer <DIMILINKS_API_KEY>
文生图示例
curl "https://api-direct.dimilinks.com/v1/images/generations?async=true" \
-H "Authorization: Bearer $DIMILINKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nano-banana-pro",
"prompt": "一张温暖的早餐桌特写,自然光,浅景深",
"resolution": "2k",
"size": "1:1"
}'
参数
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
model | string | 是 | 固定为 nano-banana-pro。 |
prompt | string | 是 | 图片内容描述。 |
resolution | string | 否 | 清晰度档位:1k / 2k / 4k,决定单张价格。 |
size | string | 否 | 画幅比例或具体像素,如 1:1、16:9、1024x1024。 |
image_urls | string[] | 否 | 参考图公网 URL 数组,图生图使用。 |
价格
| 分辨率 | 单张价格(¥) |
|---|---|
| 1k | 0.12 |
| 2k | 0.18 |
| 4k | 0.195 |
GET /api/pricing 为准。
下一步
异步模式下保存响应中的task_id,按 任务查询 轮询至完成并获取图片;同步模式直接返回图片数据。常见错误见 Errors。授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
查询参数
Set to true to submit an async image task.
Set to false to submit an async image task.
请求体
application/json
1k resolution allows n=1 only; 2k and 4k allow up to 4.
必填范围:
1 <= x <= 4示例:
"1:1"
"16:9"
"3840x2160"
可用选项:
1k, 2k, 4k 示例:
"png"
"jpeg"
"webp"
示例:
"auto"
"transparent"
"opaque"
示例:
"auto"
"low"
示例:
"b64_json"