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Veo 2 (Image to Video) Image to Video

fal-ai/veo2/image-to-video
Veo 2 creates videos from images with realistic motion and very high quality output.
Inference
Commercial use
Partner
PlaygroundAPIExamples

About

Generate videos by animating an input image using Google's Veo 2 model.

The prompt should describe how to animate the input image. Include:

  • Action: How the image should be animated
  • Style: Desired animation style
  • Camera motion (optional): How camera should move
  • Ambiance (optional): Desired mood and atmosphere

More details are available in our prompting guide.

The model supports:

  • Input images up to 8MB in size
  • 720p output resolution
  • Both 16:9 (landscape) and 9:16 (portrait) aspect ratios
  • Natural motion and realistic animations
  • Control over animation via text prompts

Safety filters are applied to both input images and generated content.

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

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/veo2/image-to-video", {
  input: {
    prompt: "A lego chef cooking eggs",
    image_url: "https://fal.media/files/elephant/6fq8JDSjb1osE_c3J_F2H.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);

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"
});

3. Queue#

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/veo2/image-to-video", {
  input: {
    prompt: "A lego chef cooking eggs",
    image_url: "https://fal.media/files/elephant/6fq8JDSjb1osE_c3J_F2H.png"
  },
  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/veo2/image-to-video", {
  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/veo2/image-to-video", {
  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);

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The text prompt describing how the image should be animated

image_url string* required

URL of the input image to animate. Should be 720p or higher resolution.

aspect_ratio AspectRatioEnum

The aspect ratio of the generated video Default value: "auto"

Possible enum values: auto, auto_prefer_portrait, 16:9, 9:16

duration DurationEnum

The duration of the generated video in seconds Default value: "5s"

Possible enum values: 5s, 6s, 7s, 8s

{
  "prompt": "A lego chef cooking eggs",
  "image_url": "https://fal.media/files/elephant/6fq8JDSjb1osE_c3J_F2H.png",
  "aspect_ratio": "auto",
  "duration": "5s"
}

Output#

video File* required

The generated video

{
  "video": {
    "url": "https://v3.fal.media/files/zebra/uNu-1qkbNt8be8iHA1hiB_output.mp4"
  }
}

Other types#

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

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