Kling Video V1 Standard API

Image To Video
Text To Video
Ai Avatar
Effects

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

The prompt for the video

string

required

URL of the image to be used for the video

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

string

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

string

URL of the image for Static Brush Application Area (Mask image created by users using the motion brush)

list<DynamicMask>

List of dynamic masks

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,
  "static_mask_url": "https://storage.googleapis.com/falserverless/kling/new_static_mask.png",
  "dynamic_masks": [
    {
      "mask_url": "https://storage.googleapis.com/falserverless/kling/new_dynamic_mask.png",
      "trajectories": [
        {
          "x": 279,
          "y": 219
        },
        {
          "x": 417,
          "y": 65
        }
      ]
    }
  ]
}

Output Example

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

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

Enum

Camera control parametersPossible values: down_back, forward_up, right_turn_forward, left_turn_forward

CameraControl

Advanced Camera control parameters

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/standard/ai-avatar Endpoint ID: fal-ai/kling-video/v1/standard/ai-avatar

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/standard/ai-avatar",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/kling_ai_avatar_input.jpg",
        "audio_url": "https://v3.fal.media/files/rabbit/9_0ZG_geiWjZOmn9yscO6_output.mp3"
    },
    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/standard/ai-avatar", {
  input: {
      image_url: "https://storage.googleapis.com/falserverless/example_inputs/kling_ai_avatar_input.jpg",
      audio_url: "https://v3.fal.media/files/rabbit/9_0ZG_geiWjZOmn9yscO6_output.mp3"
    },
  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/standard/ai-avatar \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/kling_ai_avatar_input.jpg",
  "audio_url": "https://v3.fal.media/files/rabbit/9_0ZG_geiWjZOmn9yscO6_output.mp3"
}'

Input Schema

string

required

The URL of the image to use as your avatar

string

required

The URL of the audio file.

string

default:"."

The prompt to use for the video generation. Default value: "."

Output Schema

File

required

The generated video

float

required

Duration of the output video in seconds.

Input Example

{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/kling_ai_avatar_input.jpg",
  "audio_url": "https://v3.fal.media/files/rabbit/9_0ZG_geiWjZOmn9yscO6_output.mp3",
  "prompt": "."
}

Output Example

{
  "video": {
    "url": "https://v3.fal.media/files/penguin/ln3x7H1p1jL0Pwo7675NI_output.mp4"
  }
}

Endpoint: POST https://fal.run/fal-ai/kling-video/v1/standard/effects Endpoint ID: fal-ai/kling-video/v1/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/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/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/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 1.0 — Video Generation
Kling AI Avatar v2 Pro — Video Generation
Kling AI Avatar v2 Standard — Video Generation
Kling TTS — Audio
Kling AI Avatar Pro — Video Generation
Kling 1.6 — 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
camera_control restricted to: down_back, forward_up, right_turn_forward, left_turn_forward

Video Generation

Image Generation

Audio

Vision

3D

Kling Video V1 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