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POST
/
kling
/
v1
/
videos
/
image2video
curl --request POST \
  --url https://api.cometapi.com/kling/v1/videos/image2video \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "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"
}
'
{
  "code": 0,
  "message": "success",
  "data": {
    "task_id": "2032273942220931072",
    "task_status": "submitted",
    "task_info": {},
    "created_at": 1773366840306,
    "updated_at": 1773366840306
  }
}

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 to animate one source image into a Kling video.

Before you call it

  • Provide one public image URL or one base64 image string
  • Start with model_name: kling-v2-master for a minimal modern request
  • Keep the first request simple: one input image, one prompt, no tail frame, no motion masks

Task flow

1

Submit the image-to-video request

Create the task and store the returned Kling task_id.
2

Poll the task

Continue with Individual Queries to follow task status until output is ready.
3

Store the result

Persist the finished asset if you need retention beyond the provider delivery URL.
For the full parameter reference, see the official Kling document.

Authorizations

Authorization
string
header
required

Bearer token authentication. Use your CometAPI key.

Body

application/json
image
string
default:example
required

Source image as a Base64 string or public URL. Accepted formats: JPG, JPEG, PNG. Maximum 10 MB, minimum 300×300 px.

prompt
string

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).

model_name
string

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

image_tail
string

Tail-frame reference image as a Base64 string or public URL. Same format requirements as image. Controls the last frame of the generated video.

cfg_scale
number

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

duration
string

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

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