Qwen Image Generations

Create image

curl --request POST \
  --url https://api.dgrid.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "A cute baby sea otter wearing a beret",
  "model": "dall-e-3",
  "size": "1024x1024"
}
'

import requests

url = "https://api.dgrid.ai/v1/images/generations"

payload = {
    "prompt": "A cute baby sea otter wearing a beret",
    "model": "dall-e-3",
    "size": "1024x1024"
}
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: 'A cute baby sea otter wearing a beret',
    model: 'dall-e-3',
    size: '1024x1024'
  })
};

fetch('https://api.dgrid.ai/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

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

func main() {

	url := "https://api.dgrid.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"prompt\": \"A cute baby sea otter wearing a beret\",\n  \"model\": \"dall-e-3\",\n  \"size\": \"1024x1024\"\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.dgrid.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"A cute baby sea otter wearing a beret\",\n  \"model\": \"dall-e-3\",\n  \"size\": \"1024x1024\"\n}")
  .asString();

{
  "created": 123,
  "data": [
    {
      "url": "<string>",
      "b64_json": "<string>",
      "revised_prompt": "<string>"
    }
  ],
  "usage": {
    "total_tokens": 123,
    "input_tokens": 123,
    "output_tokens": 123,
    "input_tokens_details": {
      "text_tokens": 123,
      "image_tokens": 123
    }
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": "<string>",
    "code": "<string>"
  }
}

POST

images

generations

Create image

curl --request POST \
  --url https://api.dgrid.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "A cute baby sea otter wearing a beret",
  "model": "dall-e-3",
  "size": "1024x1024"
}
'

import requests

url = "https://api.dgrid.ai/v1/images/generations"

payload = {
    "prompt": "A cute baby sea otter wearing a beret",
    "model": "dall-e-3",
    "size": "1024x1024"
}
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: 'A cute baby sea otter wearing a beret',
    model: 'dall-e-3',
    size: '1024x1024'
  })
};

fetch('https://api.dgrid.ai/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

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

func main() {

	url := "https://api.dgrid.ai/v1/images/generations"

	payload := strings.NewReader("{\n  \"prompt\": \"A cute baby sea otter wearing a beret\",\n  \"model\": \"dall-e-3\",\n  \"size\": \"1024x1024\"\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.dgrid.ai/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"A cute baby sea otter wearing a beret\",\n  \"model\": \"dall-e-3\",\n  \"size\": \"1024x1024\"\n}")
  .asString();

{
  "created": 123,
  "data": [
    {
      "url": "<string>",
      "b64_json": "<string>",
      "revised_prompt": "<string>"
    }
  ],
  "usage": {
    "total_tokens": 123,
    "input_tokens": 123,
    "output_tokens": 123,
    "input_tokens_details": {
      "text_tokens": 123,
      "image_tokens": 123
    }
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "param": "<string>",
    "code": "<string>"
  }
}

This page uses the same images/generations operation as Create image, with the playground above pre-filled for the generic OpenAI-style image schema (prompt, model, size, etc.). The notes below describe the Qwen-specific request shape for wanx-v1 style models.

Qwen image models accept an alternate request shape that wraps your prompt inside input.messages rather than a top-level prompt field. Provide model and input together in the playground’s request body to use this shape.

Qwen-specific request fields

Field	Type	Required	Description
`model`	string	Yes	Model identifier, such as `wanx-v1`.
`input`	object	Yes	Input wrapper object sent in the request, used instead of a top-level `prompt`.
`input.messages`	array	Yes	Messages array nested under `input`.
`input.messages[].role`	string	Yes	Message role, e.g. `user`.
`input.messages[].content`	string	Yes	Prompt text describing the desired image.

Unlike the standard prompt/size/quality fields shown in the playground, Qwen’s wanx-v1 models read the prompt from input.messages[].content. Other top-level fields such as n and response_format are not used by this format.

Example: generating an image

{
  "model": "wanx-v1",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": "A serene mountain lake at dawn, photorealistic."
      }
    ]
  }
}

Response fields

The response follows the standard image generation shape:

integer

Creation timestamp.

array

Generated image entries.

Show data item properties

string

Image URL.

string

Base64 image payload.

string

Revised prompt returned by the model.

Example response

200

{
  "created": 1719859200,
  "data": [
    {
      "url": "https://cdn.dgrid.ai/generated/abc123.png",
      "b64_json": "",
      "revised_prompt": "A serene mountain lake at dawn with mist rising off the water, photorealistic."
    }
  ]
}

Authorizations

Authorization

string

header

required

Your DGrid API key. All endpoints use Authorization: Bearer <DGRID_API_KEY>.

Body

application/json

OpenAI format
Qwen format

prompt

string

required

Image prompt.

model

string

default:dall-e-2

Model such as dall-e-2 or dall-e-3.

integer

default:1

Number of images to generate.

quality

enum<string>

default:standard

Available options:

standard,

hd

response_format

enum<string>

default:url

Available options:

url,

b64_json

size

string

default:1024x1024

Output size.

style

enum<string>

default:vivid

Available options:

vivid,

natural

user

string

End-user identifier.

Response

Generated images.

created

integer

Creation timestamp.

data

object[]

Generated image entries.

Show child attributes

usage

object

Show child attributes

Create image

Edit image

GETTING STARTED

MODEL API

MANAGEMENT API KEYS

X402 API

Qwen-specific request fields

Example: generating an image

Response fields

Example response

Authorizations

Body

Response

​Qwen-specific request fields

​Example: generating an image

​Response fields

​Example response

Authorizations

Body

Response

Qwen-specific request fields

Example: generating an image

Response fields

Example response