Jimeng Image Editing

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

import requests

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

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "n": 123,
    "ratio": "<string>",
    "quality": "<string>",
    "response_format": "<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,
    ratio: '<string>',
    quality: '<string>',
    response_format: '<string>',
    resolution: '<string>'
  })
};

fetch('https://zx1.deepwl.net/v1/images/edits', 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/edits",
  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,
    'ratio' => '<string>',
    'quality' => '<string>',
    'response_format' => '<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/edits"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<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/edits")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<string>\",\n  \"resolution\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://zx1.deepwl.net/v1/images/edits")

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  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<string>\",\n  \"resolution\": \"<string>\"\n}"

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

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/edited-image.png",
      "revised_prompt": "Generate a photorealistic image based on the reference image"
    }
  ]
}

POST

https://zx1.deepwl.net

images

edits

Jimeng Image Editing

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

import requests

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

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "n": 123,
    "ratio": "<string>",
    "quality": "<string>",
    "response_format": "<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,
    ratio: '<string>',
    quality: '<string>',
    response_format: '<string>',
    resolution: '<string>'
  })
};

fetch('https://zx1.deepwl.net/v1/images/edits', 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/edits",
  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,
    'ratio' => '<string>',
    'quality' => '<string>',
    'response_format' => '<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/edits"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<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/edits")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<string>\",\n  \"resolution\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://zx1.deepwl.net/v1/images/edits")

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  \"ratio\": \"<string>\",\n  \"quality\": \"<string>\",\n  \"response_format\": \"<string>\",\n  \"resolution\": \"<string>\"\n}"

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

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/edited-image.png",
      "revised_prompt": "Generate a photorealistic image based on the reference image"
    }
  ]
}

Jimeng Image Editing

An OpenAI-compatible image editing interface, submitted using multipart/form-data, supports generating new images based on a reference image.

The route entry is POST /v1/images/edits.
Currently submitted using multipart/form-data.
A reference image file must be provided for editing.
Supports Jimeng model image editing capabilities.

Supported Models

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

Method and Path

POST /v1/images/edits

Request Example

curl -X POST https://zx1.deepwl.net/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "model=jimeng-4.0" \
  -F "prompt=Generate a photorealistic image based on the reference image" \
  -F "image=@/path/to/image.png" \
  -F "n=1" \
  -F "ratio=16:9"

import requests

with open("image.png", "rb") as f:
    resp = requests.post(
        "https://zx1.deepwl.net/v1/images/edits",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        data={
            "model": "jimeng-4.0",
            "prompt": "Generate a photorealistic image based on the reference image",
            "n": 1,
            "ratio": "16:9",
        },
        files={"image": f},
        timeout=60,
    )
    print(resp.json())

Response Example

{
  "created": 1735689600,
  "data": [
    {
      "url": "https://example.com/edited-image.png",
      "revised_prompt": "Generate a photorealistic image based on the reference image"
    }
  ]
}

Authentication

Authorization: Bearer YOUR_API_KEY

Body

string

Model name. For example, jimeng-4.0, jimeng-4.5.

string

required

Prompt. Text describing the editing content, supports Chinese and English.

file

required

The image to edit. Upload a single image file for editing. It must be a supported image file, supporting png, webp, and jpg formats, with each image no larger than 25MB.

integer

Number of images. The number of images to generate, defaults to 1.

string

Aspect ratio of the generated image. For example, 16:9, 1:1, 9:16, etc.

string

Quality of the generated image. auto (default) will automatically select the best quality for the given model. gpt-image-l supports high, medium, and low; dall-e-3 supports hd and standard; dall-e-2 supports only standard.

string

Format of the returned generated image. Must be one of url or b64_json.

string

Resolution. Optional 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 Editing

Jimeng Image Editing

Supported Models

Method and Path

Request Example

Response Example

Authentication

Body

Response

​Jimeng Image Editing

​Supported Models

​Method and Path

​Request Example

​Response Example

​Authentication

​Body

​Response

​Related APIs

Jimeng Image Editing

Supported Models

Method and Path

Request Example

Response Example

Authentication

Body

Response

Related APIs