Kling Video V1.6 Standard API

Image To Video
Text To Video
Elements
Effects

Endpoint: POST https://fal.run/fal-ai/kling-video/v1.6/standard/image-to-video Endpoint ID: fal-ai/kling-video/v1.6/standard/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/standard/image-to-video",
    arguments={
        "prompt": "Snowflakes fall as a car moves forward 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)

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

const result = await fal.subscribe("fal-ai/kling-video/v1.6/standard/image-to-video", {
  input: {
      prompt: "Snowflakes fall as a car moves forward along the road.",
      image_url: "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v1.6/standard/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "Snowflakes fall as a car moves forward along the road.",
  "image_url": "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg"
}'

Input Schema

string

required

string

required

DurationEnum

default:"5"

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

string

default:"blur, distort, and low quality"

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

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

File

required

The generated video

Input Example

{
  "prompt": "Snowflakes fall as a car moves forward along the road.",
  "image_url": "https://storage.googleapis.com/falserverless/kling/kling_input.jpeg",
  "duration": "5",
  "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/standard/text-to-video Endpoint ID: fal-ai/kling-video/v1.6/standard/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/standard/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)

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

const result = await fal.subscribe("fal-ai/kling-video/v1.6/standard/text-to-video", {
  input: {
      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."
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v1.6/standard/text-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "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."
}'

Input Schema

string

required

DurationEnum

default:"5"

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

AspectRatioEnum

default:"16:9"

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

string

default:"blur, distort, and low quality"

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

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

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/standard/elements Endpoint ID: fal-ai/kling-video/v1.6/standard/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/standard/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)

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

const result = await fal.subscribe("fal-ai/kling-video/v1.6/standard/elements", {
  input: {
      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"
      ]
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v1.6/standard/elements \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "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"
  ]
}'

Input Schema

string

required

list<string>

required

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

DurationEnum

default:"5"

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

AspectRatioEnum

default:"16:9"

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

string

default:"blur, distort, and low quality"

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

Output Schema

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

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

const result = await fal.subscribe("fal-ai/kling-video/v1.6/standard/effects", {
  input: {
      effect_scene: "hug"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v1.6/standard/effects \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "effect_scene": "hug"
}'

Input Schema

list<string>

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

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

DurationEnum

default:"5"

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

Output Schema

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 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
cfg_scale range: 0 to 1
aspect_ratio restricted to: 16:9, 9:16, 1:1

Video Generation

Image Generation

Audio

Vision

3D

Kling Video V1.6 Standard API

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

Limitations

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

​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

Related

Limitations