Langsung ke konten utama
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
  }
}
Gunakan endpoint ini saat satu gambar sumber tidak cukup dan Anda ingin Kling membangun gerakan dari beberapa referensi gambar.

Sebelum Anda memanggilnya

  • Siapkan 2 hingga 4 gambar di image_list
  • Mulai dengan model_name: kling-v1-6 atau model terbaru lain yang sudah Anda validasi
  • Buat pengujian pertama tetap sederhana: satu prompt pendek, tanpa motion mask, tanpa pengaturan callback tambahan

Alur tugas

1

Kirim permintaan multi-image

Kirim daftar gambar, prompt, dan durasi, lalu simpan task_id Kling yang dikembalikan.
2

Polling task

Lanjutkan dengan Individual Queries sampai task mencapai status terminal.
3

Simpan hasilnya

Simpan video yang sudah selesai jika Anda memerlukan retensi di luar URL pengiriman dari provider.
Validasi langsung pada 2026-03-13 mengonfirmasi bahwa permintaan minimal dua gambar diterima dan mengembalikan task_status: submitted.
Untuk referensi parameter lengkap, lihat dokumentasi resmi Kling.

Otorisasi

Authorization
string
header
wajib

Bearer token authentication. Use your CometAPI key.

Body

application/json
model_name
string
default:kling-v1-6
wajib

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

duration
string
default:5
wajib

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

image_list
object[]
wajib

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.
wajib

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.

Respons

200 - application/json

Task accepted.

code
integer
wajib

Error code; specifically define the error code

message
string
wajib

error message

data
object
wajib