圖像

圖像 API 涵蓋 Gemini 原生圖像生成、OpenAI 相容圖像端點，以及 Qwen 相容圖像工作流。

Gemini 原生格式

若您需要供應商原生多模態回應控制，請透過 Gemini generateContent 介面生成圖像。

POST

https://api.dgrid.ai

POST/v1/models/{model}:generateContent

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

請求體

欄位	型別	必填	說明
contents	array	是	輸入內容陣列。
contents[]	object	是	目前範例會傳送一個只包含空物件的陣列項目。
generationConfig	object	是	圖像生成設定。
generationConfig.responseModalities	array	是	要返回的模態清單。
generationConfig.imageConfig	object	是	圖像設定。
generationConfig.imageConfig.aspectRatio	string	是	圖像長寬比。
generationConfig.imageConfig.imageSize	string	是	圖像尺寸。

回應體

欄位	型別	說明
candidates	array	模型返回的候選回應。
candidates[].content	object	候選內容物件。
candidates[].content.role	string	回應內容角色。
candidates[].content.parts	array	返回內容片段陣列。
candidates[].finishReason	string	生成結束原因。
candidates[].safetyRatings	array	安全評分結果。
usageMetadata	object	Token 使用量中繼資料。
usageMetadata.promptTokenCount	integer	輸入 token 數。
usageMetadata.candidatesTokenCount	integer	輸出 token 數。
usageMetadata.totalTokenCount	integer	總 token 數。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/models/string:generateContent/" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {}
    ],
    "generationConfig": {
      "responseModalities": [
        "string"
      ],
      "imageConfig": {
        "aspectRatio": "string",
        "imageSize": "string"
      }
    }
  }'

JavaScript

const body = JSON.stringify({
  "contents": [
    {}
  ],
  "generationConfig": {
    "responseModalities": [
      "string"
    ],
    "imageConfig": {
      "aspectRatio": "string",
      "imageSize": "string"
    }
  }
})

fetch("https://api.dgrid.ai/v1/models/string:generateContent/", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

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

func main() {
  url := "https://api.dgrid.ai/v1/models/string:generateContent/"
  body := strings.NewReader(`{
    "contents": [
      {}
    ],
    "generationConfig": {
      "responseModalities": [
        "string"
      ],
      "imageConfig": {
        "aspectRatio": "string",
        "imageSize": "string"
      }
    }
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/models/string:generateContent/"
body = """{
  "contents": [
    {}
  ],
  "generationConfig": {
    "responseModalities": [
      "string"
    ],
    "imageConfig": {
      "aspectRatio": "string",
      "imageSize": "string"
    }
  }
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "contents": [
    {}
  ],
  "generationConfig": {
    "responseModalities": [
      "string"
    ],
    "imageConfig": {
      "aspectRatio": "string",
      "imageSize": "string"
    }
  }
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/models/string:generateContent/"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "contents": [
    {}
  ],
  "generationConfig": {
    "responseModalities": [
      "string"
    ],
    "imageConfig": {
      "aspectRatio": "string",
      "imageSize": "string"
    }
  }
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/models/string:generateContent/", body);
var responseBody = await response.Content.ReadAsStringAsync();

200

Gemini schema

{
  "candidates": [
    {
      "content": {
        "role": "string",
        "parts": [
          {}
        ]
      },
      "finishReason": "string",
      "safetyRatings": [
        {}
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 0,
    "candidatesTokenCount": 0,
    "totalTokenCount": 0
  }
}

OpenAI 聊天格式

若您希望以 OpenAI 相容客戶端請求 Gemini 圖像生成，可使用 Chat Completions 介面。

POST

https://api.dgrid.ai

POST/v1/chat/completions

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

請求體

欄位	型別	必填	說明
model	string	是	Gemini 支援模型 ID。
stream	boolean	是	目前範例會傳送 true。
messages	array	是	聊天訊息陣列。
messages[]	object	是	目前範例包含一個空物件。
contents	array	是	目前範例另外傳送 contents 陣列。

回應體

欄位	型別	說明
id	string	Completion 識別碼。
model	string	產生回應的模型。
object	string	最上層物件型別。
created	integer	建立時間戳。
choices	array	返回的 choices。
choices[].index	integer	Choice 索引。
choices[].message	object	助手訊息物件。
choices[].message.role	string	回應角色。
choices[].message.content	string	回應內容。
choices[].finish_reason	string	結束原因。
usage	object	Token 使用統計。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/chat/completions" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "model": "string",
    "stream": true,
    "messages": [
      {}
    ],
    "contents": [
      {}
    ]
  }'

JavaScript

const body = JSON.stringify({
  "model": "string",
  "stream": true,
  "messages": [
    {}
  ],
  "contents": [
    {}
  ]
})

fetch("https://api.dgrid.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

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

func main() {
  url := "https://api.dgrid.ai/v1/chat/completions"
  body := strings.NewReader(`{
    "model": "string",
    "stream": true,
    "messages": [
      {}
    ],
    "contents": [
      {}
    ]
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/chat/completions"
body = """{
  "model": "string",
  "stream": true,
  "messages": [
    {}
  ],
  "contents": [
    {}
  ]
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "model": "string",
  "stream": true,
  "messages": [
    {}
  ],
  "contents": [
    {}
  ]
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/chat/completions"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "model": "string",
  "stream": true,
  "messages": [
    {}
  ],
  "contents": [
    {}
  ]
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/chat/completions", body);
var responseBody = await response.Content.ReadAsStringAsync();

200

OpenAI chat schema

{
  "id": "string",
  "model": "string",
  "object": "string",
  "created": 0,
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "string",
        "content": "string"
      },
      "finish_reason": "string"
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0
  }
}

OpenAI 圖像生成

透過 OpenAI 相容 images/generations 端點生成圖像。

POST

https://api.dgrid.ai

POST/v1/images/generations

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

請求體

欄位	型別	必填	預設值	說明
prompt	string	是	-	圖像描述。
model	string	否	dall-e-2	模型，例如 dall-e-2 或 dall-e-3。
n	integer	否	1	生成數量。
quality	string	否	standard	standard 或 hd。
response_format	string	否	url	url 或 b64_json。
size	string	否	1024x1024	輸出尺寸。
style	string	否	vivid	vivid 或 natural。
user	string	否	-	終端使用者識別。

回應體

欄位	型別	說明
created	integer	建立時間戳。
data	array	生成圖像列表。
data[].url	string	URL 形式輸出時的圖像連結。
data[].b64_json	string	Base64 形式輸出時的圖像內容。
data[].revised_prompt	string	模型調整後的提示文字。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/images/generations/" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "string"
  }'

JavaScript

const body = JSON.stringify({
  "prompt": "string"
})

fetch("https://api.dgrid.ai/v1/images/generations/", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

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

func main() {
  url := "https://api.dgrid.ai/v1/images/generations/"
  body := strings.NewReader(`{
    "prompt": "string"
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/images/generations/"
body = """{
  "prompt": "string"
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "prompt": "string"
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/images/generations/"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
};

C#

using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "prompt": "string"
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/images/generations/", body);
var responseBody = await response.Content.ReadAsStringAsync();

200 回應

application/json

{
  "created": 0,
  "data": [
    {
      "b64_json": "string",
      "url": "string"
    }
  ],
  "usage": {
    "total_tokens": 0,
    "input_tokens": 0,
    "output_tokens": 0,
    "input_tokens_details": {
      "text_tokens": 0,
      "image_tokens": 0
    }
  }
}

OpenAI 圖像編輯

透過 OpenAI 相容圖像編輯端點，搭配可選 mask 修改上傳圖像。

POST

https://api.dgrid.ai

POST/v1/images/edits

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

multipart/form-data

Response

200 · application/json

表單欄位

欄位	型別	必填	說明
image	file	是	原始圖像，PNG 格式且小於 4 MB。
mask	file	否	可選遮罩圖像。
prompt	string	是	編輯指令。
model	string	否	目標模型。
n	integer	否	輸出數量。
size	string	否	輸出尺寸。
response_format	string	否	回應格式。
user	string	否	終端使用者識別。

回應體

回應遵循 OpenAI 圖像生成 schema，包含 data[].url 或 data[].b64_json。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/images/edits/" \
  -H "Authorization: Bearer " \
  -F image="cmMtdXBsb2FkLTE2ODc4MzMzNDc3NTEtMjA=/31225951_59371037e9_small.png" \
  -F prompt="A cute baby sea otter wearing a beret."

JavaScript

const body = new FormData();
body.set(image, "cmMtdXBsb2FkLTE2ODc4MzMzNDc3NTEtMjA=/31225951_59371037e9_small.png")
body.set(prompt, "A cute baby sea otter wearing a beret.")

fetch("https://api.dgrid.ai/v1/images/edits/", {
  method: "POST",
  headers: {
    "Content-Type": "multipart/form-data",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

import (
  "fmt"
  "net/http"
  "io/ioutil"
  "mime/multipart"
  "bytes"
)

func main() {
  url := "https://api.dgrid.ai/v1/images/edits/"
  body := new(bytes.Buffer)
  mp := multipart.NewWriter(payload)
  mp.WriteField("image", `cmMtdXBsb2FkLTE2ODc4MzMzNDc3NTEtMjA=/31225951_59371037e9_small.png`)
  mp.WriteField("prompt", `A cute baby sea otter wearing a beret.`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "multipart/form-data")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/images/edits/"
body = {
  "image": "cmMtdXBsb2FkLTE2ODc4MzMzNDc3NTEtMjA=/31225951_59371037e9_small.png",
  "prompt": "A cute baby sea otter wearing a beret."
}
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "multipart/form-data", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofByteArray(new byte[] { ... });
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/images/edits/"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "multipart/form-data")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

using System;
using System.Net.Http;
using System.Text;

var body = new MultipartFormDataContent();

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/images/edits/", body);
var responseBody = await response.Content.ReadAsStringAsync();

200

OpenAI image schema

The response body matches the image generation response format and returns
one or more edited image results.

Qwen 圖像生成

透過 Qwen 相容 OpenAI 圖像端點，對 `wanx-v1` 等模型發送生成請求。

POST

https://api.dgrid.ai

POST/v1/images/generations

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

請求體

欄位	型別	必填	說明
model	string	是	模型 ID，例如 wanx-v1。
input	object	是	輸入物件。
input.messages	array	是	輸入訊息陣列。
input.messages[]	object	是	目前範例包含一個空物件。

回應體

欄位	型別	說明
created	integer	建立時間戳。
data	array	生成的圖像結果陣列。
data[].url	string	圖像 URL。
data[].b64_json	string	Base64 編碼圖像資料。
data[].revised_prompt	string	修訂或正規化後的提示。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/images/generations" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "model": "string",
    "input": {
      "messages": [
        {}
      ]
    }
  }'

JavaScript

const body = JSON.stringify({
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
})

fetch("https://api.dgrid.ai/v1/images/generations", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

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

func main() {
  url := "https://api.dgrid.ai/v1/images/generations"
  body := strings.NewReader(`{
    "model": "string",
    "input": {
      "messages": [
        {}
      ]
    }
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/images/generations"
body = """{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/images/generations"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/images/generations", body);
var responseBody = await response.Content.ReadAsStringAsync();

200

OpenAI image schema

{
  "created": 0,
  "data": [
    {
      "url": "string",
      "b64_json": "string",
      "revised_prompt": "string"
    }
  ]
}

Qwen 圖像編輯

透過 Qwen 相容圖像編輯流程修改已上傳圖像。

POST

https://api.dgrid.ai

POST/v1/images/edits

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

請求體

欄位	型別	必填	說明
model	string	是	Qwen 圖像模型 ID。
input	object	是	輸入物件。
input.messages	array	是	輸入訊息陣列。
input.messages[]	object	是	目前範例包含一個空物件。

回應體

欄位	型別	說明
created	integer	建立時間戳。
data	array	生成的圖像結果陣列。
data[].url	string	圖像 URL。
data[].b64_json	string	Base64 編碼圖像資料。
data[].revised_prompt	string	修訂或正規化後的提示。

請求範例

cURL / JavaScript / Go / Python / Java / C#

cURL

curl -X POST "https://api.dgrid.ai/v1/images/edits" \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "model": "string",
    "input": {
      "messages": [
        {}
      ]
    }
  }'

JavaScript

const body = JSON.stringify({
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
})

fetch("https://api.dgrid.ai/v1/images/edits", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer "
  },
  body
})

Go

package main

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

func main() {
  url := "https://api.dgrid.ai/v1/images/edits"
  body := strings.NewReader(`{
    "model": "string",
    "input": {
      "messages": [
        {}
      ]
    }
  }`)
  req, _ := http.NewRequest("POST", url, body)
  req.Header.Add("Authorization", "Bearer ")
  req.Header.Add("Content-Type", "application/json")
  res, _ := http.DefaultClient.Do(req)
  defer res.Body.Close()
  body, _ := ioutil.ReadAll(res.Body)

  fmt.Println(res)
  fmt.Println(string(body))
}

Python

import requests

url = "https://api.dgrid.ai/v1/images/edits"
body = """{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}"""
response = requests.request("POST", url, data = body, headers = {
  "Content-Type": "application/json", 
  "Authorization": "Bearer "
})

print(response.text)

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
import java.net.http.HttpRequest.BodyPublishers;

var body = BodyPublishers.ofString("""{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}""");
HttpClient client = HttpClient.newBuilder()
  .connectTimeout(Duration.ofSeconds(10))
  .build();

HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
  .uri(URI.create("https://api.dgrid.ai/v1/images/edits"))
  .header("Authorization", "Bearer ")
  .header("Content-Type", "application/json")
  .POST(body)
  .build();

try {
  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
  System.out.println("Status code: " + response.statusCode());
  System.out.println("Response body: " + response.body());
} catch (Exception e) {
  e.printStackTrace();
}

C#

using System;
using System.Net.Http;
using System.Text;

var body = new StringContent("""
{
  "model": "string",
  "input": {
    "messages": [
      {}
    ]
  }
}
""", Encoding.UTF8, "application/json");

var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer ");
var response = await client.PostAsync("https://api.dgrid.ai/v1/images/edits", body);
var responseBody = await response.Content.ReadAsStringAsync();

200

OpenAI image schema

{
  "created": 0,
  "data": [
    {
      "url": "string",
      "b64_json": "string",
      "revised_prompt": "string"
    }
  ]
}