Images

The Images API covers Gemini-native image generation, OpenAI-compatible image endpoints, and Qwen-compatible image workflows exposed through the DGrid API gateway.

Gemini Native Format

Generate images through the Gemini native generateContent interface when you need provider-specific multimodal response controls.

POST

https://api.dgrid.ai

POST/v1/models/{model}:generateContent

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

Request Body

Field	Type	Required	Description
contents	array	Yes	Input content array.
contents[]	object	Yes	The sample uses an empty object item inside contents.
generationConfig	object	Yes	Generation configuration object.
generationConfig.responseModalities	array	Yes	Requested modalities array.
generationConfig.imageConfig	object	Yes	Image configuration object.
generationConfig.imageConfig.aspectRatio	string	Yes	Aspect ratio value used in the sample.
generationConfig.imageConfig.imageSize	string	Yes	Image size value used in the sample.

Response Body

Field	Type	Description
candidates	array	Candidate responses returned by the model.
candidates[].content	object	Generated content object.
candidates[].content.role	string	Role returned in the generated content block.
candidates[].content.parts	array	Returned content parts.
candidates[].finishReason	string	Finish reason string.
candidates[].safetyRatings	array	Safety evaluation results.
usageMetadata	object	Token usage metadata.
usageMetadata.promptTokenCount	integer	Prompt token count.
usageMetadata.candidatesTokenCount	integer	Candidate output token count.
usageMetadata.totalTokenCount	integer	Total token count.

Request Example

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 Chat Format

Use the Chat Completions endpoint when you want to request Gemini-backed image generation from an OpenAI-compatible client.

POST

https://api.dgrid.ai

POST/v1/chat/completions

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

Request Body

Field	Type	Required	Description
model	string	Yes	Model identifier sent in the request body.
stream	boolean	Yes	Streaming flag included in the sample request.
messages	array	Yes	Messages array included in the request body.
messages[]	object	Yes	Message objects inside messages.
contents	array	Yes	Additional contents array sent in the sample request.

Response Body

Field	Type	Description
id	string	Chat completion identifier.
model	string	Model used for the request.
object	string	Response object type.
created	integer	Creation timestamp.
choices	array	Returned choice entries.
choices[].index	integer	Choice index.
choices[].message	object	Assistant message object.
choices[].message.role	string	Message role.
choices[].message.content	string	Message content.
choices[].finish_reason	string	Finish reason.
usage	object	Token usage summary.

Request Example

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 Image Generations

Generate images with the OpenAI-compatible image creation endpoint.

POST

https://api.dgrid.ai

POST/v1/images/generations

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

Request Body

Field	Type	Required	Default	Description
prompt	string	Yes	-	Image prompt.
model	string	No	dall-e-2	Model such as dall-e-2 or dall-e-3.
n	integer	No	1	Number of images to generate.
quality	string	No	standard	standard or hd.
response_format	string	No	url	url or b64_json.
size	string	No	1024x1024	Output size.
style	string	No	vivid	vivid or natural.
user	string	No	-	End-user identifier.

Response Body

Field	Type	Description
created	integer	Creation timestamp.
data	array	Generated image entries.
data[].url	string	Image URL when using URL output.
data[].b64_json	string	Base64 image payload when requested.
data[].revised_prompt	string	Refined prompt returned by the model.

Request Example

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 Response

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 Image Edits

Edit an uploaded image with an optional mask using the OpenAI-compatible image editing endpoint.

POST

https://api.dgrid.ai

POST/v1/images/edits

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

multipart/form-data

Response

200 · application/json

Form Data

Field	Type	Required	Description
image	file	Yes	Source image in PNG format, under 4 MB.
mask	file	No	Optional mask image.
prompt	string	Yes	Editing instruction.
model	string	No	Target image model.
n	integer	No	Number of outputs.
size	string	No	Output size.
response_format	string	No	Response format.
user	string	No	End-user identifier.

Response Body

The response matches the OpenAI image generation schema, including data[].url or data[].b64_json.

Request Example

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 Image Generations

Generate images through the Qwen-compatible OpenAI image endpoint for `wanx-v1` style models.

POST

https://api.dgrid.ai

POST/v1/images/generations

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

Request Body

Field	Type	Required	Description
model	string	Yes	Model identifier, such as wanx-v1.
input	object	Yes	Input wrapper object sent in the sample request.
input.messages	array	Yes	Messages array nested under input.
input.messages[]	object	Yes	Message objects inside input.messages.

Response Body

Field	Type	Description
created	integer	Creation timestamp.
data	array	Generated image entries.
data[].url	string	Image URL.
data[].b64_json	string	Base64 image payload.
data[].revised_prompt	string	Revised prompt returned by the model.

Request Example

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 Image Edits

Edit images through the Qwen-compatible OpenAI image editing workflow.

POST

https://api.dgrid.ai

POST/v1/images/edits

Authorization

Authorization: Bearer <DGRID_API_KEY>

Request

application/json

Response

200 · application/json

Request Body

Field	Type	Required	Description
model	string	Yes	Model identifier sent in the sample request.
input	object	Yes	Input wrapper object sent in the request body.
input.messages	array	Yes	Messages array nested under input.
input.messages[]	object	Yes	Message objects inside input.messages.

Response Body

Field	Type	Description
created	integer	Creation timestamp.
data	array	Generated image entries.
data[].url	string	Image URL.
data[].b64_json	string	Base64 image payload.
data[].revised_prompt	string	Revised prompt returned by the model.

Request Example

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"
    }
  ]
}