Kling 图像Omni kling-v3-omni

Kling 全能图像任务

curl --request POST \
  --url https://api.powertokens.ai/kling/v1/images/omni-image \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "model_name": "kling-v3-omni",
  "prompt": "将所有图片中的人物融合到<<<object_1>>>图中",
  "element_list": [
    {
      "element_id": 829836802793406600
    }
  ],
  "image_list": [
    {
      "image": "https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png"
    },
    {
      "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png"
    },
    {
      "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png"
    }
  ],
  "resolution": "2k",
  "n": 1,
  "aspect_ratio": "3:2"
}
'

import requests

url = "https://api.powertokens.ai/kling/v1/images/omni-image"

payload = {
    "model_name": "kling-v3-omni",
    "prompt": "将所有图片中的人物融合到<<<object_1>>>图中",
    "element_list": [{ "element_id": 829836802793406600 }],
    "image_list": [{ "image": "https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png" }, { "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png" }, { "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png" }],
    "resolution": "2k",
    "n": 1,
    "aspect_ratio": "3:2"
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "Bearer <token>"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: 'Bearer <token>'},
  body: JSON.stringify({
    model_name: 'kling-v3-omni',
    prompt: '将所有图片中的人物融合到<<<object_1>>>图中',
    element_list: [{element_id: 829836802793406600}],
    image_list: [
      {
        image: 'https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png'
      },
      {
        image: 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png'
      },
      {
        image: 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png'
      }
    ],
    resolution: '2k',
    n: 1,
    aspect_ratio: '3:2'
  })
};

fetch('https://api.powertokens.ai/kling/v1/images/omni-image', 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://api.powertokens.ai/kling/v1/images/omni-image",
  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_name' => 'kling-v3-omni',
    'prompt' => '将所有图片中的人物融合到<<<object_1>>>图中',
    'element_list' => [
        [
                'element_id' => 829836802793406600
        ]
    ],
    'image_list' => [
        [
                'image' => 'https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png'
        ],
        [
                'image' => 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png'
        ],
        [
                'image' => 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png'
        ]
    ],
    'resolution' => '2k',
    'n' => 1,
    'aspect_ratio' => '3:2'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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://api.powertokens.ai/kling/v1/images/omni-image"

	payload := strings.NewReader("{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "Bearer <token>")

	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.powertokens.ai/kling/v1/images/omni-image")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "Bearer <token>")
  .body("{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.powertokens.ai/kling/v1/images/omni-image")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = 'Bearer <token>'
request.body = "{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}"

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

{
  "code": 0,
  "message": "string",
  "request_id": "string",
  "data": {
    "task_id": "string",
    "task_info": {
      "external_task_id": "string"
    },
    "task_status": "submitted",
    "created_at": 1722769557708,
    "updated_at": 1722769557708
  }
}

POST

kling

images

omni-image

Kling 全能图像任务

curl --request POST \
  --url https://api.powertokens.ai/kling/v1/images/omni-image \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "model_name": "kling-v3-omni",
  "prompt": "将所有图片中的人物融合到<<<object_1>>>图中",
  "element_list": [
    {
      "element_id": 829836802793406600
    }
  ],
  "image_list": [
    {
      "image": "https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png"
    },
    {
      "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png"
    },
    {
      "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png"
    }
  ],
  "resolution": "2k",
  "n": 1,
  "aspect_ratio": "3:2"
}
'

import requests

url = "https://api.powertokens.ai/kling/v1/images/omni-image"

payload = {
    "model_name": "kling-v3-omni",
    "prompt": "将所有图片中的人物融合到<<<object_1>>>图中",
    "element_list": [{ "element_id": 829836802793406600 }],
    "image_list": [{ "image": "https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png" }, { "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png" }, { "image": "https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png" }],
    "resolution": "2k",
    "n": 1,
    "aspect_ratio": "3:2"
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "Bearer <token>"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: 'Bearer <token>'},
  body: JSON.stringify({
    model_name: 'kling-v3-omni',
    prompt: '将所有图片中的人物融合到<<<object_1>>>图中',
    element_list: [{element_id: 829836802793406600}],
    image_list: [
      {
        image: 'https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png'
      },
      {
        image: 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png'
      },
      {
        image: 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png'
      }
    ],
    resolution: '2k',
    n: 1,
    aspect_ratio: '3:2'
  })
};

fetch('https://api.powertokens.ai/kling/v1/images/omni-image', 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://api.powertokens.ai/kling/v1/images/omni-image",
  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_name' => 'kling-v3-omni',
    'prompt' => '将所有图片中的人物融合到<<<object_1>>>图中',
    'element_list' => [
        [
                'element_id' => 829836802793406600
        ]
    ],
    'image_list' => [
        [
                'image' => 'https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png'
        ],
        [
                'image' => 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png'
        ],
        [
                'image' => 'https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png'
        ]
    ],
    'resolution' => '2k',
    'n' => 1,
    'aspect_ratio' => '3:2'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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://api.powertokens.ai/kling/v1/images/omni-image"

	payload := strings.NewReader("{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "Bearer <token>")

	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.powertokens.ai/kling/v1/images/omni-image")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "Bearer <token>")
  .body("{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.powertokens.ai/kling/v1/images/omni-image")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = 'Bearer <token>'
request.body = "{\n  \"model_name\": \"kling-v3-omni\",\n  \"prompt\": \"将所有图片中的人物融合到<<<object_1>>>图中\",\n  \"element_list\": [\n    {\n      \"element_id\": 829836802793406600\n    }\n  ],\n  \"image_list\": [\n    {\n      \"image\": \"https://v1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/multi-4.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/1.png\"\n    },\n    {\n      \"image\": \"https://p2-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/video_effects/4.png\"\n    }\n  ],\n  \"resolution\": \"2k\",\n  \"n\": 1,\n  \"aspect_ratio\": \"3:2\"\n}"

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

{
  "code": 0,
  "message": "string",
  "request_id": "string",
  "data": {
    "task_id": "string",
    "task_info": {
      "external_task_id": "string"
    },
    "task_status": "submitted",
    "created_at": 1722769557708,
    "updated_at": 1722769557708
  }
}

授权

Authorization

string

header

必填

在请求头中传入 Authorization: Bearer <token>。

请求头

Content-Type

string

默认值:application/json

必填

数据交换格式

请求体

application/json

model_name

enum<string>

必填

模型名称

可用选项:

kling-v3-omni

prompt

string

必填

文本提示词，可包含正向描述和负向描述

可将提示词模板化来满足不同的图像生成需求
不能超过 2500 个字符
通过 <<<>>> 的格式来指定某个图片，如：<<<image_1>>>

Maximum string length: 2500

image_list

object[]

参考图列表，用 key:value 承载，如下：

"image_list": [{ "image": "image_url" }]

支持传入图片 Base64 编码或图片 URL（确保可访问）
图片格式支持 .jpg / .jpeg / .png
图片文件大小不能超过 10MB，图片宽高尺寸不小于 300px，图片宽高比要在 1:2.5 ~ 2.5:1 之间
参考主体数量与参考图片数量有关，参考主体数量和参考图片数量之和不得超过 10
image_url 参数值不得为空

Maximum array length: 10

Show child attributes

element_list

object[]

主体参考列表，基于主体库中主体的 ID 配置

用 key:value 承载，如下： "element_list":[{ "element_id": 829836802793406551 }]
参考主体数量与参考图片数量有关，参考主体数量和参考图片数量之和不得超过 10

Maximum array length: 10

Show child attributes

resolution

enum<string>

默认值:1k

生成图片的清晰度

可用选项:

1k,

2k,

4k

result_type

enum<string>

默认值:single

生成结果单图/组图切换开关

可用选项:

single,

series

aspect_ratio

enum<string>

默认值:auto

生成图片的画面纵横比（宽:高）

枚举值: 16:9 9:16 1:1 4:3 3:4 3:2 2:3 21:9 auto

其中：auto为根据传入内容智能生成图片宽高比

可用选项:

16:9,

9:16,

1:1,

4:3,

3:4,

3:2,

2:3,

21:9,

auto

integer

默认值:1

生成图片数量

取值范围：[1, 9]
当 result_type 值为 series 时，当前参数无效

必填范围: 1 <= x <= 9

series_amount

默认值:auto

生成组图的图片数量

枚举值：2 3 4 5 6 7 8 9 auto

其中：auto 为根据传入内容智能选择生成图片的数量
使用 auto 时，会占用与实际生成数量对应的并发量
当 result_type 值为 single 时，当前参数无效

可用选项:

2,

3,

4,

5,

6,

7,

8,

9,

auto

必填范围: 2 <= x <= 9

watermark_info

object

是否同时生成含水印的结果。

Show child attributes

callback_url

string

本次任务结果回调通知地址，如果配置，服务端会在任务状态发生变更时主动通知

external_task_id

string

自定义任务 ID

用户自定义任务 ID，传入不会覆盖系统生成的任务 ID，但支持通过该 ID 进行任务查询
请注意，单用户下需要保证唯一性

响应

200 - application/json

任务已接受。

code

integer

错误码；具体定义见错误码

示例:

0

message

string

错误信息

示例:

"string"

request_id

string

请求ID，系统生成，用于跟踪请求、排查问题

示例:

"string"

data

object

Show child attributes

Kling 图像Omni kling-image-o1

Kling 图像Omni查询任务（单个）

聊天模型

图像模型

视频模型

音频模型

资产库

Kling 图像Omni kling-v3-omni

授权

请求头

请求体

响应