Kling Video V1.6 Pro API

Image To Video
Text To Video
Elements
Effects

Endpoint: POST https://fal.run/fal-ai/kling-video/v1.6/pro/image-to-video Endpoint ID: fal-ai/kling-video/v1.6/pro/image-to-video

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/kling-video/v1.6/pro/image-to-video",
    arguments={
        "prompt": "Snowflakes fall as a car moves along the road.",
        "image_url": "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Input Schema

prompt

string

required

image_url

string

required

duration

DurationEnum

default:"5"

The duration of the generated video in seconds Default value: "5"Possible values: 5, 10

aspect_ratio

AspectRatioEnum

default:"16:9"

The aspect ratio of the generated video frame Default value: "16:9"Possible values: 16:9, 9:16, 1:1

tail_image_url

string

URL of the image to be used for the end of the video

negative_prompt

string

default:"blur, distort, and low quality"

Default value: "blur, distort, and low quality"

cfg_scale

float

default:"0.5"

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt. Default value: 0.5Range: 0 to 1

Output Schema

video

File

required

The generated video

Input Example

{
  "prompt": "Snowflakes fall as a car moves along the road.",
  "image_url": "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg",
  "duration": "5",
  "aspect_ratio": "16:9",
  "negative_prompt": "blur, distort, and low quality",
  "cfg_scale": 0.5
}

Output Example

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/kling/kling_i2v_output.mp4"
  }
}

Endpoint: POST https://fal.run/fal-ai/kling-video/v1.6/pro/text-to-video Endpoint ID: fal-ai/kling-video/v1.6/pro/text-to-video

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/kling-video/v1.6/pro/text-to-video",
    arguments={
        "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse."
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Input Schema

prompt

string

required

duration

DurationEnum

default:"5"

The duration of the generated video in seconds Default value: "5"Possible values: 5, 10

aspect_ratio

AspectRatioEnum

default:"16:9"

The aspect ratio of the generated video frame Default value: "16:9"Possible values: 16:9, 9:16, 1:1

negative_prompt

string

default:"blur, distort, and low quality"

Default value: "blur, distort, and low quality"

cfg_scale

float

default:"0.5"

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt. Default value: 0.5Range: 0 to 1

Output Schema

video

File

required

The generated video

Input Example

{
  "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
  "duration": "5",
  "aspect_ratio": "16:9",
  "negative_prompt": "blur, distort, and low quality",
  "cfg_scale": 0.5
}

Output Example

{
  "video": {
    "url": "https://v2.fal.media/files/fb33a862b94d4d7195e610e4cbc5d392_output.mp4"
  }
}

Endpoint: POST https://fal.run/fal-ai/kling-video/v1.6/pro/elements Endpoint ID: fal-ai/kling-video/v1.6/pro/elements

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/kling-video/v1.6/pro/elements",
    arguments={
        "prompt": "A cute girl and a baby cow sleeping together on a bed",
        "input_image_urls": [
            "https://storage.googleapis.com/falserverless/web-examples/kling-elements/first_image.jpeg",
            "https://storage.googleapis.com/falserverless/web-examples/kling-elements/second_image.png"
        ]
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Input Schema

prompt

string

required

input_image_urls

list<string>

required

List of image URLs to use for video generation. Supports up to 4 images.

duration

DurationEnum

default:"5"

The duration of the generated video in seconds Default value: "5"Possible values: 5, 10

aspect_ratio

AspectRatioEnum

default:"16:9"

The aspect ratio of the generated video frame Default value: "16:9"Possible values: 16:9, 9:16, 1:1

negative_prompt

string

default:"blur, distort, and low quality"

Default value: "blur, distort, and low quality"

Output Schema

video

File

required

The generated video

Input Example

{
  "prompt": "A cute girl and a baby cow sleeping together on a bed",
  "input_image_urls": [
    "https://storage.googleapis.com/falserverless/web-examples/kling-elements/first_image.jpeg",
    "https://storage.googleapis.com/falserverless/web-examples/kling-elements/second_image.png"
  ],
  "duration": "5",
  "aspect_ratio": "16:9",
  "negative_prompt": "blur, distort, and low quality"
}

Output Example

{
  "video": {
    "content_type": "video/mp4",
    "file_name": "output.mp4",
    "file_size": 3910577,
    "url": "https://v3.fal.media/files/penguin/twy6u1yv09NvqsX0mMFM2_output.mp4"
  }
}

Endpoint: POST https://fal.run/fal-ai/kling-video/v1.6/pro/effects Endpoint ID: fal-ai/kling-video/v1.6/pro/effects

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/kling-video/v1.6/pro/effects",
    arguments={
        "effect_scene": "hug"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Input Schema

input_image_urls

list<string>

URL of images to be used for hug, kiss or heart_gesture video.

effect_scene

EffectSceneEnum

required

The effect scene to use for the video generationPossible values: hug, kiss, heart_gesture, squish, expansion, fuzzyfuzzy, bloombloom, dizzydizzy, jelly_press, jelly_slice, jelly_squish, jelly_jiggle, pixelpixel, yearbook, instant_film, anime_figure, rocketrocket, fly_fly, disappear, lightning_power, bullet_time, bullet_time_360, media_interview, day_to_night, let's_ride, jumpdrop, swish_swish, running_man, jazz_jazz, swing_swing, skateskate, building_sweater, pure_white_wings, black_wings, golden_wing, pink_pink_wings, rampage_ape, a_list_look, countdown_teleport, firework_2026, instant_christmas, birthday_star, firework, celebration, tiger_hug_pro, pet_lion_pro, guardian_spirit, squeeze_scream, inner_voice, memory_alive, guess_what, eagle_snatch, hug_from_past, instant_kid, dollar_rain, cry_cry, building_collapse, mushroom, jesus_hug, shark_alert, lie_flat, polar_bear_hug, brown_bear_hug, office_escape_plow, watermelon_bomb, boss_coming, wig_out, car_explosion, tiger_hug, siblings, construction_worker, snatched, felt_felt, plushcut, drunk_dance, drunk_dance_pet, daoma_dance, bouncy_dance, smooth_sailing_dance, new_year_greeting, lion_dance, prosperity, great_success, golden_horse_fortune, red_packet_box, lucky_horse_year, lucky_red_packet, lucky_money_come, lion_dance_pet, dumpling_making_pet, fish_making_pet, pet_red_packet, lantern_glow, expression_challenge, overdrive, heart_gesture_dance, poping, martial_arts, running, nezha, motorcycle_dance, subject_3_dance, ghost_step_dance, phantom_jewel, zoom_out, cheers_2026, kiss_pro, fight_pro, hug_pro, heart_gesture_pro, dollar_rain_pro, pet_bee_pro, santa_random_surprise, magic_match_tree, happy_birthday, thumbs_up_pro, surprise_bouquet, bouquet_drop, 3d_cartoon_1_pro, glamour_photo_shoot, box_of_joy, first_toast_of_the_year, my_santa_pic, santa_gift, steampunk_christmas, snowglobe, christmas_photo_shoot, ornament_crash, santa_express, particle_santa_surround, coronation_of_frost, spark_in_the_snow, scarlet_and_snow, cozy_toon_wrap, bullet_time_lite, magic_cloak, balloon_parade, jumping_ginger_joy, c4d_cartoon_pro, venomous_spider, throne_of_king, luminous_elf, woodland_elf, japanese_anime_1, american_comics, snowboarding, witch_transform, vampire_transform, pumpkin_head_transform, demon_transform, mummy_transform, zombie_transform, cute_pumpkin_transform, cute_ghost_transform, knock_knock_halloween, halloween_escape, baseball, trampoline, trampoline_night, pucker_up, feed_mooncake, flyer, dishwasher, pet_chinese_opera, magic_fireball, gallery_ring, pet_moto_rider, muscle_pet, pet_delivery, mythic_style, steampunk, 3d_cartoon_2, pet_chef, santa_gifts, santa_hug, girlfriend, boyfriend, heart_gesture_1, pet_wizard, smoke_smoke, gun_shot, double_gun, pet_warrior, long_hair, pet_dance, wool_curly, pet_bee, marry_me, piggy_morph, ski_ski, magic_broom, splashsplash, surfsurf, fairy_wing, angel_wing, dark_wing, emoji

duration

DurationEnum

default:"5"

The duration of the generated video in seconds Default value: "5"Possible values: 5, 10

Output Schema

video

File

required

The generated video

Input Example

{
  "input_image_urls": [
    "https://storage.googleapis.com/falserverless/juggernaut_examples/VHXMavzPyI27zi6JseyL4.png",
    "https://storage.googleapis.com/falserverless/juggernaut_examples/QEW5VrzccxGva7mPfEXjf.png"
  ],
  "effect_scene": "hug",
  "duration": "5"
}

Output Example

{
  "video": {
    "content_type": "video/mp4",
    "file_name": "output.mp4",
    "url": "https://storage.googleapis.com/falserverless/kling/kling_ex.mp4.mp4"
  }
}

Kling AI v1.6 Pro - Professional Image-to-Video Generation

Transform static images into dynamic, fluid video content with Kling AI v1.6 Pro. This advanced image-to-video model by Kuaishou delivers professional-grade motion synthesis ideal for content creators, marketers, and developers.

Overview

Kling AI v1.6 Pro excels at generating natural, smooth video animations from single images. The model specializes in realistic motion patterns while preserving the original image’s quality and artistic intent. Key Capabilities:

Natural motion synthesis with fluid transitions
High-fidelity output maintaining source image details
Flexible video duration (5 or 10 seconds) and aspect ratio options
Production-ready API with robust error handling
Support for advanced features like motion brushes and special effects

Getting Started

Setting up Kling AI is straightforward. First, install your preferred SDK: For JavaScript/TypeScript:

npm install --save @fal-ai/client

For Python:

pip install fal-client

Configure your authentication:

import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_API_KEY"
});

Implementation Guide

Here’s a basic example of generating a video from an image:

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/kling-video/v1.6/pro/image-to-video", {
  input: {
    prompt: "Snowflakes fall as a car moves along the road.",
    image_url: "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg",
    duration: "5",
    aspect_ratio: "16:9",
    negative_prompt: "blur, distort, and low quality",
    cfg_scale: 0.5
  }
});

console.log(result.video.url);

API Parameters

prompt (required): Text description of the desired motion and scene
image_url (required): URL of the input image
duration: Video duration - “5” or “10” seconds
aspect_ratio: Output aspect ratio (e.g., “16:9”, “9:16”, “1:1”)
negative_prompt: Elements to avoid in the generation
cfg_scale: Classifier Free Guidance scale (default: 0.5)
static_mask_url: URL for static motion brush mask
dynamic_mask_url: URL for dynamic motion brush mask
special_fx: Special effects like “hug”, “kiss”, “heart_gesture”, “squish”, “expansion”

Advanced Features

Motion Brush Control

const result = await fal.subscribe("fal-ai/kling-video/v1.6/pro/image-to-video", {
  input: {
    prompt: "Dynamic scene with controlled motion",
    image_url: "your-image-url",
    static_mask_url: "static-mask-url",
    dynamic_masks: [{
      mask_url: "dynamic-mask-url",
      trajectories: [
        { x: 279, y: 219 },
        { x: 417, y: 65 }
      ]
    }]
  }
});

Multi-Image Generation

For creating videos from multiple reference images (up to 4):

const result = await fal.subscribe("fal-ai/kling-video/v1.6/standard/elements", {
  input: {
    prompt: "A cute girl and a baby cow sleeping together",
    input_image_urls: [
      "first-image-url",
      "second-image-url"
    ]
  }
});

Technical Specifications

Processing Capabilities:

Input formats: JPG, JPEG, PNG, WebP, GIF, AVIF
Output format: MP4
Resolution: 1080p
Duration options: 5 or 10 seconds
Processing time: Approximately 6 minutes

Best Practices

For optimal results: Start with high-quality source images. The model performs best with clear, well-lit images that have distinct subjects and depth. Consider your motion requirements. The cfg_scale parameter controls prompt adherence - lower values (0.3-0.5) for more creative freedom, higher values for stricter prompt following. Test different duration settings. 5-second clips often produce more focused results, while 10-second videos allow for more complex motion development.

Model Variants

Kling offers two quality tiers:

Pro Mode: Higher quality, longer processing time
Standard Mode: Faster processing, good for quick iterations

Access standard mode at: fal-ai/kling-video/v1.6/standard/image-to-video

Queue Management

For asynchronous processing:

// Submit request
const { request_id } = await fal.queue.submit("fal-ai/kling-video/v1.6/pro/image-to-video", {
  input: {
    prompt: "Your video description",
    image_url: "your-image-url"
  }
});

// Check status
const status = await fal.queue.status("fal-ai/kling-video/v1.6/pro/image-to-video", {
  requestId: request_id,
  logs: true
});

// Get result
const result = await fal.queue.result("fal-ai/kling-video/v1.6/pro/image-to-video", {
  requestId: request_id
});

Pricing and Usage

Cost: $0.095 per video second
5-second video: $0.475
10-second video: $0.95
Processing time: Approximately 6 minutes

View detailed pricing or contact sales for enterprise solutions.

Support and Resources

For technical support or to discuss specific use cases, connect with our developer community. We maintain comprehensive documentation and example repositories to help you implement Kling AI effectively in your projects.

API Documentation: fal.ai/models/fal-ai/kling-video/v1.6/pro/image-to-video/api
Discord Community: discord.com/invite/fal-ai
Support: support@fal.ai

Ready to Transform Your Images?

Get started today by creating your API key at fal.ai and experience professional-grade video generation capabilities with Kling AI v1.6 Pro.

Kling 1.6 — Video Generation
Kling 1.6 Elements — Video Generation
Kling 1.0 — Video Generation
Kling 1.5 — Video Generation

Limitations

duration restricted to: 5, 10
aspect_ratio restricted to: 16:9, 9:16, 1:1
cfg_scale range: 0 to 1

Video Generation

Image Generation

Audio

Vision

3D

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

​Kling AI v1.6 Pro - Professional Image-to-Video Generation

​Overview

​Getting Started

​Implementation Guide

​API Parameters

​Advanced Features

​Motion Brush Control

​Multi-Image Generation

​Technical Specifications

​Best Practices

​Model Variants

​Queue Management

​Pricing and Usage

​Support and Resources

​Ready to Transform Your Images?

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Kling AI v1.6 Pro - Professional Image-to-Video Generation

Overview

Getting Started

Implementation Guide

API Parameters

Advanced Features

Motion Brush Control

Multi-Image Generation

Technical Specifications

Best Practices

Model Variants

Queue Management

Pricing and Usage

Support and Resources

Ready to Transform Your Images?

Related

Limitations