Video Prompt Generator | Large Language Models

fal-ai/video-prompt-generator

Generate video prompts using a variety of techniques including camera direction, style, pacing, special effects and more.

Inference

Commercial use

Schema

Playground API

About

Generate

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/video-prompt-generator", {
  input: {
    input_concept: "A futuristic city at dusk"
  },
  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/video-prompt-generator", {
  input: {
    input_concept: "A futuristic city at dusk"
  },
  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/video-prompt-generator", {
  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/video-prompt-generator", {
  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#

input_concept string* required

Core concept or thematic input for the video prompt

style StyleEnum

Style of the video prompt Default value: "Simple"

Possible enum values: Minimalist, Simple, Detailed, Descriptive, Dynamic, Cinematic, Documentary, Animation, Action, Experimental

camera_style CameraStyleEnum

Camera movement style Default value: "None"

Possible enum values: None, Steadicam flow, Drone aerials, Handheld urgency, Crane elegance, Dolly precision, VR 360, Multi-angle rig, Static tripod, Gimbal smoothness, Slider motion, Jib sweep, POV immersion, Time-slice array, Macro extreme, Tilt-shift miniature, Snorricam character, Whip pan dynamics, Dutch angle tension, Underwater housing, Periscope lens

camera_direction CameraDirectionEnum

Camera direction Default value: "None"

Possible enum values: None, Zoom in, Zoom out, Pan left, Pan right, Tilt up, Tilt down, Orbital rotation, Push in, Pull out, Track forward, Track backward, Spiral in, Spiral out, Arc movement, Diagonal traverse, Vertical rise, Vertical descent

pacing PacingEnum

Pacing rhythm Default value: "None"

Possible enum values: None, Slow burn, Rhythmic pulse, Frantic energy, Ebb and flow, Hypnotic drift, Time-lapse rush, Stop-motion staccato, Gradual build, Quick cut rhythm, Long take meditation, Jump cut energy, Match cut flow, Cross-dissolve dreamscape, Parallel action, Slow motion impact, Ramping dynamics, Montage tempo, Continuous flow, Episodic breaks

special_effects SpecialEffectsEnum

Special effects approach Default value: "None"

Possible enum values: None, Practical effects, CGI enhancement, Analog glitches, Light painting, Projection mapping, Nanosecond exposures, Double exposure, Smoke diffusion, Lens flare artistry, Particle systems, Holographic overlay, Chromatic aberration, Digital distortion, Wire removal, Motion capture, Miniature integration, Weather simulation, Color grading, Mixed media composite, Neural style transfer

custom_elements string

Custom technical elements (optional) Default value: ""

image_url string

URL of an image to analyze and incorporate into the video prompt (optional)

model ModelEnum

Model to use Default value: "google/gemini-flash-1.5"

Possible enum values: anthropic/claude-3.5-sonnet, anthropic/claude-3-5-haiku, anthropic/claude-3-haiku, google/gemini-pro-1.5, google/gemini-flash-1.5, google/gemini-flash-1.5-8b, meta-llama/llama-3.2-1b-instruct, meta-llama/llama-3.2-3b-instruct, meta-llama/llama-3.1-8b-instruct, meta-llama/llama-3.1-70b-instruct, openai/gpt-4o-mini, openai/gpt-4o, deepseek/deepseek-r1

prompt_length PromptLengthEnum

Length of the prompt Default value: "Medium"

Possible enum values: Short, Medium, Long

{
  "input_concept": "A futuristic city at dusk",
  "style": "Simple",
  "camera_style": "None",
  "camera_direction": "None",
  "pacing": "None",
  "special_effects": "None",
  "model": "google/gemini-flash-1.5",
  "prompt_length": "Medium"
}

Output#

prompt string* required

Generated video prompt

{
  "prompt": "A futuristic city glows softly at dusk, captured with smooth gimbal movements and a slow burn pacing, enhanced by subtle holographic overlays."
}

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#

Video Prompt Generator Large Language Models

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#