> ## Documentation Index
> Fetch the complete documentation index at: https://apidoc.cometapi.com/llms.txt
> Use this file to discover all available pages before exploring further.
# 建立 Kling 多圖影片任務
> 透過 CometAPI POST /kling/v1/videos/multi-image2video 從多張圖片建立 Kling 影片，並提供動作控制與生成輸出設定。
當單一來源圖片不足以滿足需求，而你希望 Kling 根據多張圖片參考建立動作時，請使用此端點。
## 呼叫前準備
* 在 `image_list` 中準備 1 到 4 張圖片
* 使用符合 Kling 像素要求的圖片；過小的縮圖會被生成任務拒絕
* 除非你明確需要選擇與路由相容的模型，否則請省略 `model_name`
* 第一次測試請保持簡單：簡短的 prompt、`duration: 5`，且不要加入額外的 callback 設定
* 請勿在此路由上傳送 image-to-video 的遮罩欄位，例如 `static_mask` 或 `dynamic_masks`
## 任務流程
傳送圖片清單、prompt 和 duration，然後保存回傳的 Kling `task_id`。
持續使用 [取得 Kling 任務](./individual-queries)，直到任務進入最終狀態。
如果你需要在供應商提供的交付 URL 之外保留結果，請儲存已完成的影片。
如需完整的參數參考，請參閱[官方 Kling 文件](https://kling.ai/document-api/apiReference/model/multiImageToVideo)。
## OpenAPI
````yaml api/openapi/video/kling/post-multi-image-to-video.openapi.json POST /kling/v1/videos/multi-image2video
openapi: 3.1.0
info:
title: Multi-Image to Video API
version: 1.0.0
description: Create a Kling video task from multiple source images.
servers:
- url: https://api.cometapi.com
security:
- bearerAuth: []
paths:
/kling/v1/videos/multi-image2video:
post:
summary: Create a Kling multi-image-to-video task
description: >-
Submit 2 to 4 images plus a motion prompt and receive a task id for
later polling.
operationId: multi_image_to_video
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- image_list
properties:
model_name:
type: string
description: >-
Kling model variant for multi-image video. Omit to use
`kling-v1-6`.
default: kling-v1-6
enum:
- kling-v1-6
image_list:
type: array
description: >-
Input image references. Provide 1 to 4 items that meet Kling
pixel requirements; very small thumbnails are rejected.
minItems: 1
maxItems: 4
items:
type: object
required:
- image
properties:
image:
type: string
description: Image URL or base64 image string.
prompt:
type: string
description: Text prompt describing the desired motion and scene.
negative_prompt:
type: string
description: Elements to avoid in the generated video.
mode:
type: string
description: >-
Generation mode. Use `std` or `pro`; omitted requests use
`std`.
enum:
- std
- pro
default: std
duration:
type: string
description: >-
Output video length in seconds. Use `5` or `10`; omitted
requests use `5`.
default: '5'
aspect_ratio:
type: string
description: >-
Requested frame aspect ratio when the model needs an
explicit frame shape.
enum:
- '16:9'
- '9:16'
- '1:1'
callback_url:
type: string
description: Webhook URL to receive task status updates.
external_task_id:
type: string
description: >-
Custom task id for your own tracking. Must be unique per
account.
default:
image_list:
- image: https://your-image-host/first-frame.jpg
- image: https://your-image-host/second-frame.jpg
prompt: A smooth transition between the two reference moments
mode: std
duration: '5'
aspect_ratio: '1:1'
examples:
Default:
summary: Multi-image video request
value:
image_list:
- image: https://your-image-host/first-frame.jpg
- image: https://your-image-host/second-frame.jpg
prompt: A smooth transition between the two reference moments
mode: std
duration: '5'
aspect_ratio: '1:1'
responses:
'200':
description: Task accepted.
content:
application/json:
schema:
type: object
required:
- code
- message
- data
properties:
code:
type: integer
description: Error code; specifically define the error code
message:
type: string
description: error message
data:
type: object
required:
- task_id
- task_status
- created_at
- updated_at
properties:
task_id:
type: string
description: Task ID, system generated
task_status:
type: string
description: >-
Task status, enumerated values: submitted, processing,
succeed, failed.
task_status_msg:
type: string
task_info:
type: object
additionalProperties: true
created_at:
type: integer
description: Task creation time, Unix timestamp, in ms.
updated_at:
type: integer
description: Task update time, Unix timestamp, in ms.
example:
code: 0
message: SUCCEED
data:
task_id: '861309198188019719'
task_status: submitted
task_info: {}
created_at: 1773380633979
updated_at: 1773380633979
x-codeSamples:
- lang: Shell
label: Default
source: |
curl https://api.cometapi.com/kling/v1/videos/multi-image2video \
-H "Authorization: Bearer $COMETAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"image_list": [
{
"image": "https://your-image-host/first-frame.jpg"
},
{
"image": "https://your-image-host/second-frame.jpg"
}
],
"prompt": "A smooth transition between the two reference moments",
"mode": "std",
"duration": "5",
"aspect_ratio": "1:1"
}'
- lang: Python
label: Default
source: |
import os
import requests
response = requests.post(
"https://api.cometapi.com/kling/v1/videos/multi-image2video",
headers={"Authorization": "Bearer " + os.environ["COMETAPI_KEY"]},
json={
"image_list": [
{
"image": "https://your-image-host/first-frame.jpg"
},
{
"image": "https://your-image-host/second-frame.jpg"
}
],
"prompt": "A smooth transition between the two reference moments",
"mode": "std",
"duration": "5",
"aspect_ratio": "1:1"
},
)
result = response.json()
print(result.get("code"), result.get("data", {}).get("task_id"))
- lang: JavaScript
label: Default
source: >
const response = await
fetch("https://api.cometapi.com/kling/v1/videos/multi-image2video",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.COMETAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"image_list": [
{
"image": "https://your-image-host/first-frame.jpg"
},
{
"image": "https://your-image-host/second-frame.jpg"
}
],
"prompt": "A smooth transition between the two reference moments",
"mode": "std",
"duration": "5",
"aspect_ratio": "1:1"
}),
});
const result = await response.json();
console.log(result.code, result.data?.task_id);
components:
securitySchemes:
bearerAuth:
type: http
scheme: bearer
description: Bearer token authentication. Use your CometAPI key.
````