Image-to-video endpoint for Sora 2, OpenAI's state-of-the-art video model capable of creating richly detailed, dynamic clips with audio from natural language or images.

fal-ai/sora-2/image-to-video

Image-to-video endpoint for Sora 2, OpenAI's state-of-the-art video model capable of creating richly detailed, dynamic clips with audio from natural language or images.

Inference

Commercial use

Partner

This endpoint is deprecated

This model is no longer supported.

Schema

LLMs

Playground API

SandboxOpen in Sandbox

Loading API documentation…

fal-ai/sora-2/image-to-video

Schema

LLMs

Loading API documentation…

SandboxOpen in Sandbox

Image-to-video endpoint for Sora 2, OpenAI's state-of-the-art video model capable of creating richly detailed, dynamic clips with audio from natural language or images.

fal-ai/sora-2/image-to-video

Image-to-video endpoint for Sora 2, OpenAI's state-of-the-art video model capable of creating richly detailed, dynamic clips with audio from natural language or images.

Inference

Commercial use

Partner

This endpoint is deprecated

This model is no longer supported.

Schema

LLMs

Playground API

SandboxOpen in Sandbox

About

Generate a video from an image and text prompt using OpenAI's Sora 2 model.

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. Install the new package and update your imports — see client setup.

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/sora-2/image-to-video", {
  input: {
    prompt: "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.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 an environment where you cannot set environment variables, you can configure the API key manually on the client.

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/sora-2/image-to-video", {
  input: {
    prompt: "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.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/sora-2/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/sora-2/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);

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 text prompt describing the video you want to generate

resolution ResolutionEnum

The resolution of the generated video Default value: "auto"

Possible enum values: auto, 720p

aspect_ratio AspectRatioEnum

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

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

duration DurationEnum

Duration of the generated video in seconds Default value: "4"

Possible enum values: 4, 8, 12, 16, 20

delete_video boolean

Whether to delete the video after generation for privacy reasons. If True, the video cannot be used for remixing and will be permanently deleted. Default value: true

model ModelEnum

The model to use for the generation. When the default model is selected, the latest snapshot of the model will be used - otherwise, select a specific snapshot of the model. Default value: "sora-2"

Possible enum values: sora-2, sora-2-2025-12-08, sora-2-2025-10-06

detect_and_block_ip boolean

If enabled, the prompt (and image for image-to-video) will be checked for known intellectual property references and the request will be blocked if any are detected.

character_ids list<string>

Up to two character IDs (from create-character) to use in the video. Refer to characters by name in the prompt. When set, only the OpenAI provider is used.

image_url string* required

The URL of the image to use as the first frame

{
  "prompt": "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
  "resolution": "auto",
  "aspect_ratio": "auto",
  "duration": 4,
  "delete_video": true,
  "model": "sora-2",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.png"
}

Output#

video VideoFile* required

The generated video

video_id string* required

The ID of the generated video

thumbnail ImageFile

Thumbnail image for the video

spritesheet ImageFile

Spritesheet image for the video

{
  "video": {
    "content_type": "video/mp4",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/sora_2_i2v_output.mp4"
  },
  "video_id": "video_123"
}

Other types#

ImageFile#

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.

width integer

The width of the image

height integer

The height of the image

VideoFile#

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.

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

Related Models

Loading API documentation…

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

This endpoint is deprecated

This model is no longer supported.

About

Generate a video from an image and text prompt using OpenAI's Sora 2 model.

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. Install the new package and update your imports — see client setup.

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/sora-2/image-to-video", {
  input: {
    prompt: "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.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 an environment where you cannot set environment variables, you can configure the API key manually on the client.

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

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

Protect your API Key

3. Queue#

Long-running requests

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/sora-2/image-to-video", {
  input: {
    prompt: "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.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/sora-2/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/sora-2/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)#

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 text prompt describing the video you want to generate

resolution ResolutionEnum

The resolution of the generated video Default value: "auto"

Possible enum values: auto, 720p

aspect_ratio AspectRatioEnum

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

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

duration DurationEnum

Duration of the generated video in seconds Default value: "4"

Possible enum values: 4, 8, 12, 16, 20

delete_video boolean

Whether to delete the video after generation for privacy reasons. If True, the video cannot be used for remixing and will be permanently deleted. Default value: true

model ModelEnum

The model to use for the generation. When the default model is selected, the latest snapshot of the model will be used - otherwise, select a specific snapshot of the model. Default value: "sora-2"

Possible enum values: sora-2, sora-2-2025-12-08, sora-2-2025-10-06

detect_and_block_ip boolean

If enabled, the prompt (and image for image-to-video) will be checked for known intellectual property references and the request will be blocked if any are detected.

character_ids list<string>

Up to two character IDs (from create-character) to use in the video. Refer to characters by name in the prompt. When set, only the OpenAI provider is used.

image_url string* required

The URL of the image to use as the first frame

{
  "prompt": "Front-facing 'invisible' action-cam on a skydiver in freefall above bright clouds; camera locked on his face. He speaks over the wind with clear lipsync: 'This is insanely fun! You've got to try it—book a tandem and go!' Natural wind roar, voice close-mic'd and slightly compressed so it's intelligible. Midday sun, goggles and jumpsuit flutter, altimeter visible, parachute rig on shoulders. Energetic but stable framing with subtle shake; brief horizon roll. End on first tug of canopy and wind noise dropping.",
  "resolution": "auto",
  "aspect_ratio": "auto",
  "duration": 4,
  "delete_video": true,
  "model": "sora-2",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/sora-2-i2v-input.png"
}

Output#

video VideoFile* required

The generated video

video_id string* required

The ID of the generated video

thumbnail ImageFile

Thumbnail image for the video

spritesheet ImageFile

Spritesheet image for the video

{
  "video": {
    "content_type": "video/mp4",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/sora_2_i2v_output.mp4"
  },
  "video_id": "video_123"
}

Other types#

ImageFile#

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.

width integer

The width of the image

height integer

The height of the image

VideoFile#

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.

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

fal-ai/sora-2/image-to-video

This endpoint is deprecated

fal-ai/sora-2/image-to-video

fal-ai/sora-2/image-to-video

This endpoint is deprecated

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

This endpoint is deprecated

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#

ImageFile#

VideoFile#

Related Models

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

This endpoint is deprecated

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#

ImageFile#

VideoFile#

Related Models