Veo 3.1 | Image to Video

fal-ai/veo3.1/reference-to-video

Generate Videos from Ingredients using Google's Veo 3.1

Inference

Commercial use

Partner

Schema

LLMs

Playground API

About

Generate videos from reference image(s) and text using Google's Veo 3 model.

The prompt should describe how to animate between the first and last frame. Include:

Action: How the first and last frame 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 or 1080p output resolution
16:9 or 9:16 aspect ratio
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

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/veo3.1/reference-to-video", {
  input: {
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-1.png", "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-2.png", "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-3.png"],
    prompt: "A graceful ballerina dancing outside a circus tent on green grass, with colorful wildflowers swaying around her as she twirls and poses in the meadow."
  },
  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/veo3.1/reference-to-video", {
  input: {
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-1.png", "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-2.png", "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-3.png"],
    prompt: "A graceful ballerina dancing outside a circus tent on green grass, with colorful wildflowers swaying around her as she twirls and poses in the meadow."
  },
  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/veo3.1/reference-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/veo3.1/reference-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);

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#

image_urls list<string>* required

URLs of the reference images to use for consistent subject appearance

prompt string* required

The text prompt describing the video you want to generate

duration DurationEnum

The duration of the generated video in seconds Default value: "8s"

Possible enum values: 8s

resolution ResolutionEnum

Resolution of the generated video Default value: "720p"

Possible enum values: 720p, 1080p

generate_audio boolean

Whether to generate audio for the video. If false, %33 less credits will be used. Default value: true

{
  "image_urls": [
    "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-1.png",
    "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-2.png",
    "https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-3.png"
  ],
  "prompt": "A graceful ballerina dancing outside a circus tent on green grass, with colorful wildflowers swaying around her as she twirls and poses in the meadow.",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true
}

Output#

video File* required

The generated video

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/example_outputs/veo31-r2v-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

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#

File#

Related Models

Veo 3.1 Image 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#

File#

Related Models