Klingai image to video

Kling AI Image-to-Video

Overview

Animate static images using the /v1/videos/image2video endpoint. Supports motion prompts, camera control, dynamic masks (motion brush), static masks, and tail images for start-to-end transitions.

Endpoint: POST https://api.klingai.com/v1/videos/image2video

Request Parameters

Parameter	Type	Required	Description
model_name	string	Yes	kling-v1-5, kling-v2-1, kling-v2-master, etc.
image	string	Yes	URL of the source image (JPG, PNG, WebP)
prompt	string	No	Motion description for the animation
negative_prompt	string	No	What to exclude
duration	string	Yes	"5" or "10" seconds
aspect_ratio	string	No	"16:9" default
mode	string	No	"standard" or "professional"
cfg_scale	float	No	Prompt adherence (0.0-1.0)
image_tail	string	No	End-frame image URL (mutually exclusive with masks/camera)
camera_control	object	No	Camera movement (mutually exclusive with masks/image_tail)
static_mask	string	No	Mask image URL for fixed regions
dynamic_masks	array	No	Motion brush trajectories
callback_url	string	No	Webhook for completion

Basic Image-to-Video

import jwt, time, os, requests

BASE = "https://api.klingai.com/v1"

def get_headers():
    ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]
    token = jwt.encode(
        {"iss": ak, "exp": int(time.time()) + 1800, "nbf": int(time.time()) - 5},
        sk, algorithm="HS256", headers={"alg": "HS256", "typ": "JWT"}
    )
    return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

# Animate a landscape photo
response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-1",
    "image": "https://example.com/landscape.jpg",
    "prompt": "Clouds slowly drifting across the sky, gentle wind rustling through trees",
    "negative_prompt": "static, frozen, blurry",
    "duration": "5",
    "mode": "standard",
})

task_id = response.json()["data"]["task_id"]

# Poll for result
while True:
    time.sleep(15)
    result = requests.get(
        f"{BASE}/videos/image2video/{task_id}", headers=get_headers()
    ).json()
    if result["data"]["task_status"] == "succeed":
        print(f"Video: {result['data']['task_result']['videos'][0]['url']}")
        break
    elif result["data"]["task_status"] == "failed":
        raise RuntimeError(result["data"]["task_status_msg"])

Start-to-End Transition (image_tail)

Use image_tail to specify both the first and last frame. Kling interpolates the motion between them.

response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-master",
    "image": "https://example.com/sunrise.jpg",        # first frame
    "image_tail": "https://example.com/sunset.jpg",    # last frame
    "prompt": "Time lapse of sun moving across the sky",
    "duration": "5",
    "mode": "professional",
})

Motion Brush (dynamic_masks)

Draw motion paths for specific elements in the image. Up to 6 motion paths per image in v2.6.

response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-6",
    "image": "https://example.com/person-standing.jpg",
    "prompt": "Person walking forward naturally",
    "duration": "5",
    "dynamic_masks": [
        {
            "mask": "https://example.com/person-mask.png",  # white = selected region
            "trajectories": [
                {"x": 0.5, "y": 0.7, "t": 0.0},   # start position (normalized 0-1)
                {"x": 0.5, "y": 0.5, "t": 0.5},   # midpoint
                {"x": 0.5, "y": 0.3, "t": 1.0},   # end position
            ]
        }
    ],
})

Static Mask (freeze regions)

Keep specific areas of the image static while animating the rest.

response = requests.post(f"{BASE}/videos/image2video", headers=get_headers(), json={
    "model_name": "kling-v2-master",
    "image": "https://example.com/scene.jpg",
    "prompt": "Water flowing in the river, birds flying",
    "duration": "5",
    "static_mask": "https://example.com/buildings-mask.png",  # white = frozen
})

Mutual Exclusivity Rules

These features cannot be combined in a single request:

Feature Set A	Feature Set B
image_tail	dynamic_masks, static_mask, camera_control
dynamic_masks / static_mask	image_tail, camera_control
camera_control	image_tail, dynamic_masks, static_mask

Image Requirements

Constraint	Value
Formats	JPG, PNG, WebP
Max size	10 MB
Min resolution	300x300 px
Max resolution	4096x4096 px
Mask format	PNG with white (selected) / black (excluded)

Error Handling

Error	Cause	Fix
400 invalid image	URL unreachable or wrong format	Verify image URL is publicly accessible
400 mutual exclusivity	Combined incompatible features	Use only one feature set per request
task_status: failed	Image too complex or low quality	Use higher resolution, clearer source
Mask mismatch	Mask dimensions differ from source	Ensure mask matches source image dimensions

Resources

• Image-to-Video API
• Motion Control Guide