LongCat Video | Text to Video

fal-ai/longcat-video/text-to-video/720p

Generate long videos in 720p/30fps from text using LongCat Video

Inference

Commercial use

Schema

LLMs

Playground API

About

Generate a video from a text prompt.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

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

const result = await fal.subscribe("fal-ai/longcat-video/text-to-video/720p", {
  input: {
    prompt: "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions."
  },
  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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.

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

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

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

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

const { request_id } = await fal.queue.submit("fal-ai/longcat-video/text-to-video/720p", {
  input: {
    prompt: "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions."
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

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

const status = await fal.queue.status("fal-ai/longcat-video/text-to-video/720p", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

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

const result = await fal.queue.result("fal-ai/longcat-video/text-to-video/720p", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

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

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The prompt to guide the video generation.

negative_prompt string

The negative prompt to use for the video generation. Default value: "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use for the video generation. Default value: 40

num_refine_inference_steps integer

The number of inference steps to use for refinement. Default value: 40

guidance_scale float

The guidance scale to use for the video generation. Default value: 4

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 16:9, 9:16, 1:1

fps integer

The frame rate of the generated video. Default value: 30

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

acceleration AccelerationEnum

The acceleration level to use for the video generation. Default value: "regular"

Possible enum values: none, regular

{
  "prompt": "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions.",
  "negative_prompt": "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards",
  "num_frames": 162,
  "num_inference_steps": 40,
  "num_refine_inference_steps": 40,
  "guidance_scale": 4,
  "aspect_ratio": "16:9",
  "fps": 30,
  "enable_safety_checker": true,
  "video_output_type": "X264 (.mp4)",
  "video_quality": "high",
  "video_write_mode": "balanced",
  "acceleration": "regular"
}

Output#

prompt string* required

The prompt used for generation.

seed integer* required

The seed used for generation.

video File* required

The generated video file.

{
  "prompt": "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions.",
  "seed": 424911732,
  "video": {
    "content_type": "video/mp4",
    "url": "https://v3b.fal.media/files/b/zebra/lXFrGA-egaUXWFGSp8GqT_BxoDEqUZ.mp4"
  }
}

Other types#

LongCat720PVideoRequest#

prompt string* required

The prompt to guide the video generation.

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use. Default value: 12

num_refine_inference_steps integer

The number of inference steps to use for refinement. Default value: 12

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 16:9, 9:16, 1:1

fps integer

The frame rate of the generated video. Default value: 30

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

LongCatCFGImageToVideoRequest#

image_url string* required

The URL of the image to generate a video from.

prompt string

The prompt to guide the video generation. Default value: "First-person view from the cockpit of a Formula 1 car. The driver's gloved hands firmly grip the intricate, carbon-fiber steering wheel adorned with numerous colorful buttons and a vibrant digital display showing race data. Beyond the windshield, a sun-drenched racetrack stretches ahead, lined with cheering spectators in the grandstands. Several rival cars are visible in the distance, creating a dynamic sense of competition. The sky above is a clear, brilliant blue, reflecting the exhilarating atmosphere of a high-speed race. high resolution 4k"

negative_prompt string

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use for the video generation. Default value: 40

guidance_scale float

The guidance scale to use for the video generation. Default value: 4

fps integer

The frame rate of the generated video. Default value: 15

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

acceleration AccelerationEnum

The acceleration level to use for the video generation. Default value: "regular"

Possible enum values: none, regular

LongCatImageToVideoRequest#

image_url string* required

The URL of the image to generate a video from.

prompt string

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use. Default value: 12

fps integer

The frame rate of the generated video. Default value: 15

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

LongCat720PImageToVideoRequest#

image_url string* required

The URL of the image to generate a video from.

prompt string

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use. Default value: 12

num_refine_inference_steps integer

The number of inference steps to use for refinement. Default value: 12

fps integer

The frame rate of the generated video. Default value: 30

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

LongCatCFGVideoRequest#

prompt string* required

The prompt to guide the video generation.

negative_prompt string

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use for the video generation. Default value: 40

guidance_scale float

The guidance scale to use for the video generation. Default value: 4

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 16:9, 9:16, 1:1

fps integer

The frame rate of the generated video. Default value: 15

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

acceleration AccelerationEnum

The acceleration level to use for the video generation. Default value: "regular"

Possible enum values: none, regular

LongCatImageToVideoResponse#

prompt string* required

The prompt used for generation.

seed integer* required

The seed used for generation.

video File* required

The generated video file.

LongCatVideoRequest#

prompt string* required

The prompt to guide the video generation.

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use. Default value: 12

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video. Default value: "16:9"

Possible enum values: 16:9, 9:16, 1:1

fps integer

The frame rate of the generated video. Default value: 15

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data

LongCat720PCFGImageToVideoRequest#

image_url string* required

The URL of the image to generate a video from.

prompt string

negative_prompt string

num_frames integer

The number of frames to generate. Default value: 162

num_inference_steps integer

The number of inference steps to use for the video generation. Default value: 40

num_refine_inference_steps integer

The number of inference steps to use for refinement. Default value: 40

guidance_scale float

The guidance scale to use for the video generation. Default value: 4

fps integer

The frame rate of the generated video. Default value: 30

seed integer

The seed for the random number generator.

enable_prompt_expansion boolean

Whether to enable prompt expansion.

enable_safety_checker boolean

Whether to enable safety checker. Default value: true

video_output_type VideoOutputTypeEnum

The output type of the generated video. Default value: "X264 (.mp4)"

Possible enum values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

video_quality VideoQualityEnum

The quality of the generated video. Default value: "high"

Possible enum values: low, medium, high, maximum

video_write_mode VideoWriteModeEnum

The write mode of the generated video. Default value: "balanced"

Possible enum values: fast, balanced, small

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

acceleration AccelerationEnum

The acceleration level to use for the video generation. Default value: "regular"

Possible enum values: none, regular

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

LongCat720PVideoRequest#

LongCatCFGImageToVideoRequest#

LongCatImageToVideoRequest#

LongCat720PImageToVideoRequest#

LongCatCFGVideoRequest#

LongCatImageToVideoResponse#

LongCatVideoRequest#

File#

LongCat720PCFGImageToVideoRequest#

Related Models

LongCat Video Text to Video

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

LongCat720PVideoRequest#

LongCatCFGImageToVideoRequest#

LongCatImageToVideoRequest#

LongCat720PImageToVideoRequest#

LongCatCFGVideoRequest#

LongCatImageToVideoResponse#

LongCatVideoRequest#

File#

LongCat720PCFGImageToVideoRequest#

Related Models