Jimeng Image Generation

curl --request POST \
  --url https://zx1.deepwl.net/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "prompt": "<string>",
  "n": 123,
  "size": "<string>",
  "image": [
    "<string>"
  ],
  "ratio": "<string>",
  "resolution": "<string>"
}
'

import requests

url = "https://zx1.deepwl.net/v1/images/generations"

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "n": 123,
    "size": "<string>",
    "image": ["<string>"],
    "ratio": "<string>",
    "resolution": "<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({
    model: '<string>',
    prompt: '<string>',
    n: 123,
    size: '<string>',
    image: ['<string>'],
    ratio: '<string>',
    resolution: '<string>'
  })
};

fetch('https://zx1.deepwl.net/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://zx1.deepwl.net/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([
    'model' => '<string>',
    'prompt' => '<string>',
    'n' => 123,
    'size' => '<string>',
    'image' => [
        '<string>'
    ],
    'ratio' => '<string>',
    'resolution' => '<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://zx1.deepwl.net/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<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://zx1.deepwl.net/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://zx1.deepwl.net/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  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "revised_prompt": "A close-up depiction of a domestic cat in a relaxed state..."
    }
  ]
}

POST

https://zx1.deepwl.net

images

generations

Jimeng Image Generation

curl --request POST \
  --url https://zx1.deepwl.net/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "prompt": "<string>",
  "n": 123,
  "size": "<string>",
  "image": [
    "<string>"
  ],
  "ratio": "<string>",
  "resolution": "<string>"
}
'

import requests

url = "https://zx1.deepwl.net/v1/images/generations"

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "n": 123,
    "size": "<string>",
    "image": ["<string>"],
    "ratio": "<string>",
    "resolution": "<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({
    model: '<string>',
    prompt: '<string>',
    n: 123,
    size: '<string>',
    image: ['<string>'],
    ratio: '<string>',
    resolution: '<string>'
  })
};

fetch('https://zx1.deepwl.net/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://zx1.deepwl.net/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([
    'model' => '<string>',
    'prompt' => '<string>',
    'n' => 123,
    'size' => '<string>',
    'image' => [
        '<string>'
    ],
    'ratio' => '<string>',
    'resolution' => '<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://zx1.deepwl.net/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<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://zx1.deepwl.net/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://zx1.deepwl.net/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  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"size\": \"<string>\",\n  \"image\": [\n    \"<string>\"\n  ],\n  \"ratio\": \"<string>\",\n  \"resolution\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "revised_prompt": "A close-up depiction of a domestic cat in a relaxed state..."
    }
  ]
}

Jimeng Image Generation

An image generation API in OpenAI-compatible format, supporting the image generation capabilities of the Jimeng model.

The route entry is POST /v1/images/generations.
Currently submitted using application/json.
Supports Jimeng models (jimeng-4.0, jimeng-4.5).
Supports image-to-image generation by passing a reference image through the image field.

Supported Models

jimeng-4.0: Jimeng 4.0 model
jimeng-4.5: Jimeng 4.5 model

Method and Path

POST /v1/images/generations

Request Example

curl -X POST https://zx1.deepwl.net/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{
    "model": "jimeng-4.0",
    "prompt": "A close-up depiction of a domestic cat in a relaxed state. The cat features vibrant orange fur, with striking white markings around its eyes that extend down to its soft, pink nose.",
    "n": 1,
    "size": "1024*1024"
  }'

import requests

resp = requests.post(
    "https://zx1.deepwl.net/v1/images/generations",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
        "Accept": "application/json",
    },
    json={
        "model": "jimeng-4.0",
        "prompt": "A close-up depiction of a domestic cat in a relaxed state. The cat features vibrant orange fur, with striking white markings around its eyes that extend down to its soft, pink nose.",
        "n": 1,
        "size": "1024*1024",
    },
    timeout=60,
)
print(resp.json())

const response = await fetch("https://zx1.deepwl.net/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
    Accept: "application/json",
  },
  body: JSON.stringify({
    model: "jimeng-4.0",
    prompt: "A close-up depiction of a domestic cat in a relaxed state. The cat features vibrant orange fur, with striking white markings around its eyes that extend down to its soft, pink nose.",
    n: 1,
    size: "1024*1024",
  }),
});

console.log(await response.json());

Example with Reference Image

curl -X POST https://zx1.deepwl.net/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{
    "model": "jimeng-4.0",
    "prompt": "Generate a photorealistic image based on the reference image",
    "n": 1,
    "image": ["https://example.com/reference.png"],
    "ratio": "16:9",
    "resolution": "2k"
  }'

import requests

resp = requests.post(
    "https://zx1.deepwl.net/v1/images/generations",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
        "Accept": "application/json",
    },
    json={
        "model": "jimeng-4.0",
        "prompt": "Generate a photorealistic image based on the reference image",
        "n": 1,
        "image": ["https://example.com/reference.png"],
        "ratio": "16:9",
        "resolution": "2k",
    },
    timeout=60,
)
print(resp.json())

Response Example

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "revised_prompt": "A close-up depiction of a domestic cat in a relaxed state..."
    }
  ]
}

Authentication

Authorization: Bearer YOUR_API_KEY

Body

string

required

Model name. Supports jimeng-4.0 and jimeng-4.5.

string

required

Prompt. The text description for image generation, supporting both Chinese and English.

integer

required

Number of images. The number of images to generate.

string

Image size. Resolution settings, such as 1024*1024.

string[]

Reference image. An array of reference image URLs, used for image-to-image scenarios.

string

Image ratio. For example, 1:1, 16:9, 9:16, 4:3, 3:4, and so on.

string

Resolution. Available values: 1k, 2k, 4k.

Response

integer

Generation timestamp (Unix timestamp).

array

Array of generation results.

string

URL of the generated image.

string

Rewritten prompt (returned by some upstream services).

Overview

Text Models

Image Models

Video Models

Uploads

Tasks

Account

Jimeng Image Generation

Jimeng Image Generation

Supported Models

Method and Path

Request Example

Example with Reference Image

Response Example

Authentication

Body

Response

​Jimeng Image Generation

​Supported Models

​Method and Path

​Request Example

​Example with Reference Image

​Response Example

​Authentication

​Body

​Response

​Related APIs

Jimeng Image Generation

Supported Models

Method and Path

Request Example

Example with Reference Image

Response Example

Authentication

Body

Response

Related APIs