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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.

Bruk dette endepunktet når ett kildebilde ikke er nok, og du vil at Kling skal bygge bevegelse fra flere bildereferanser.

​
Før du kaller det

  • Klargjør 2 til 4 bilder i image_list
  • Start med model_name: kling-v1-6 eller en annen gjeldende modell du har validert
  • Hold den første testen enkel: én kort Prompt, ingen bevegelsesmasker, ingen ekstra callback-innstillinger

​
Oppgaveflyt

1

Send inn forespørselen med flere bilder

Send bildelisten, Prompt og varighet, og lagre deretter den returnerte Kling-task_id.
2

Poll oppgaven

Fortsett med Individual Queries til oppgaven når en terminal tilstand.
3

Lagre resultatet

Lagre den ferdige videoen hvis du trenger oppbevaring utover leverandørens leverings-URL.
For fullstendig parameterreferanse, se den offisielle Kling-dokumentasjonen.

Autorisasjoner

​
Authorization
string
header
påkrevd

Bearer token authentication. Use your CometAPI key.

Kropp

application/json
​
model_name
string
standard:kling-v1-6
påkrevd

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

​
duration
string
standard:5
påkrevd

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

​
image_list
object[]
påkrevd

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
standard:The cat turns its head and blinks.
påkrevd

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.

Svar

200 - application/json

Task accepted.

​
code
integer
påkrevd

Error code; specifically define the error code

​
message
string
påkrevd

error message

​
data
object
påkrevd