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POST
/
kling
/
v1
/
videos
/
multi-image2video
Create a Kling multi-image-to-video task
curl --request POST \
  --url https://api.cometapi.com/kling/v1/videos/multi-image2video \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model_name": "kling-v1-6",
  "duration": "5",
  "image_list": [
    {
      "image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
    },
    {
      "image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
    },
    {
      "image": "https://filesystem.site/cdn/20250414/chxiLc2O45zoLT8BCrQ6WQlTvGDDnK.png"
    },
    {
      "image": "https://filesystem.site/cdn/20250414/chxiLc2O45zoLT8BCrQ6WQlTvGDDnK.png"
    }
  ],
  "prompt": "The astronauts got up and left."
}
'
{
  "code": 0,
  "message": "SUCCEED",
  "data": {
    "task_id": "861309198188019719",
    "task_status": "submitted",
    "task_info": {},
    "created_at": 1773380633979,
    "updated_at": 1773380633979
  }
}

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.

Use this endpoint when one source image is not enough and you want Kling to build motion from multiple image references.

​
Before you call it

  • Prepare 2 to 4 images in image_list
  • Start with model_name: kling-v1-6 or another current model you have validated
  • Keep the first test simple: one short prompt, no motion masks, no extra callback settings

​
Task flow

1

Submit the multi-image request

Send the image list, prompt, and duration, then save the returned Kling task_id.
2

Poll the task

Continue with Individual Queries until the task reaches a terminal state.
3

Persist the result

Store the finished video if you need retention beyond the provider delivery URL.
For the complete parameter reference, see the official Kling documentation.

Authorizations

​
Authorization
string
header
required

Bearer token authentication. Use your CometAPI key.

Body

application/json
​
model_name
string
default:kling-v1-6
required

Kling model variant to use. See the Models page for current options.

​
duration
string
default:5
required

Output video length in seconds. Options: 5, 10.

​
image_list
object[]
required

2 to 4 source images. Each item provides an image field as a public URL or Base64 string (without data: prefix). Accepted formats: JPG, JPEG, PNG. Maximum 10 MB per image, minimum 300×300 px, aspect ratio between 1:2.5 and 2.5:1.

​
prompt
string
default:The cat turns its head and blinks.
required

Text prompt describing the desired motion. Maximum 500 characters.

​
negative_prompt
string

Elements to exclude from the video. Maximum 200 characters.

​
callback_url
string

Webhook URL to receive task status updates when the task completes.

​
mode
string

Generation mode. std for standard (faster), pro for professional (higher quality).

​
cfg_scale
number

Prompt adherence strength. Higher values follow the prompt more closely. Range: 0–1.

​
static_mask
string

Static brush mask image as a Base64 string or public URL. White areas are frozen in place during video generation. Must match the aspect ratio and resolution of the input image.

​
dynamic_masks
object

Dynamic brush configuration. Up to 6 groups, each containing a painted-area mask and a motion trajectory.

​
external_task_id
string

Custom task id for your own tracking. Does not replace the system-generated task id but can be used to query tasks. Must be unique per user.

Response

200 - application/json

Task accepted.

​
code
integer
required

Error code; specifically define the error code

​
message
string
required

error message

​
data
object
required