Create seamless transition between images using PixVerse v5

fal-ai/pixverse/v5/transition

Create seamless transition between images using PixVerse v5

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About

Create Transition V5

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/pixverse/v5/transition", {
  input: {
    prompt: "Scene slowly transition into cat swimming under water",
    first_image_url: "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
    end_image_url: "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
  },
  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/pixverse/v5/transition", {
  input: {
    prompt: "Scene slowly transition into cat swimming under water",
    first_image_url: "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
    end_image_url: "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
  },
  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/pixverse/v5/transition", {
  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/pixverse/v5/transition", {
  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 for the transition. Limited to 2048 UTF-8 encoded bytes. Because the limit counts bytes rather than characters, emoji and non-Latin or accented characters (which use multiple bytes each) can push a visually short prompt over the cap.

aspect_ratio AspectRatioEnum

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

Possible enum values: 16:9, 4:3, 1:1, 3:4, 9:16

resolution ResolutionEnum

The resolution of the generated video Default value: "720p"

Possible enum values: 360p, 540p, 720p, 1080p

duration DurationEnum

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

Possible enum values: 5, 8

negative_prompt string

Negative prompt to be used for the generation. Limited to 2048 UTF-8 encoded bytes. Because the limit counts bytes rather than characters, emoji and non-Latin or accented characters (which use multiple bytes each) can push a visually short prompt over the cap. Default value: ""

style Enum

The style of the generated video

Possible enum values: anime, 3d_animation, clay, comic, cyberpunk

seed integer

The same seed and the same prompt given to the same version of the model will output the same video every time.

first_image_url string* required

URL of the image to use as the first frame

end_image_url string* required

URL of the image to use as the last frame

{
  "prompt": "Scene slowly transition into cat swimming under water",
  "aspect_ratio": "16:9",
  "resolution": "720p",
  "duration": "5",
  "negative_prompt": "blurry, low quality, low resolution, pixelated, noisy, grainy, out of focus, poorly lit, poorly exposed, poorly composed, poorly framed, poorly cropped, poorly color corrected, poorly color graded",
  "first_image_url": "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
  "end_image_url": "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
}

Output#

video File* required

The generated video

{
  "video": {
    "content_type": "video/mp4",
    "file_name": "output.mp4",
    "file_size": 3890360,
    "url": "https://storage.googleapis.com/falserverless/model_tests/video_models/output-2.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.

Related Models

Loading API documentation…

1. Calling the API

2. Authentication

API Key

3. Queue

4. Files

5. Schema

About

Create Transition V5

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/pixverse/v5/transition", {
  input: {
    prompt: "Scene slowly transition into cat swimming under water",
    first_image_url: "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
    end_image_url: "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
  },
  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/pixverse/v5/transition", {
  input: {
    prompt: "Scene slowly transition into cat swimming under water",
    first_image_url: "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
    end_image_url: "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
  },
  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/pixverse/v5/transition", {
  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/pixverse/v5/transition", {
  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

aspect_ratio AspectRatioEnum

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

Possible enum values: 16:9, 4:3, 1:1, 3:4, 9:16

resolution ResolutionEnum

The resolution of the generated video Default value: "720p"

Possible enum values: 360p, 540p, 720p, 1080p

duration DurationEnum

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

Possible enum values: 5, 8

negative_prompt string

style Enum

The style of the generated video

Possible enum values: anime, 3d_animation, clay, comic, cyberpunk

seed integer

The same seed and the same prompt given to the same version of the model will output the same video every time.

first_image_url string* required

URL of the image to use as the first frame

end_image_url string* required

URL of the image to use as the last frame

{
  "prompt": "Scene slowly transition into cat swimming under water",
  "aspect_ratio": "16:9",
  "resolution": "720p",
  "duration": "5",
  "negative_prompt": "blurry, low quality, low resolution, pixelated, noisy, grainy, out of focus, poorly lit, poorly exposed, poorly composed, poorly framed, poorly cropped, poorly color corrected, poorly color graded",
  "first_image_url": "https://v3.fal.media/files/zebra/owQh2DAzk8UU7J02nr5RY_Co2P4boLv6meIZ5t9gKvL_8685da151df343ab8bf82165c928e2a5.jpg",
  "end_image_url": "https://v3.fal.media/files/kangaroo/RgedFs_WSnq5BgER7qDx1_ONrbTJ1YAGXz-9JnSsBoB_bdc8750387734bfe940319f469f7b0b2.jpg"
}

Output#

video File* required

The generated video

{
  "video": {
    "content_type": "video/mp4",
    "file_name": "output.mp4",
    "file_size": 3890360,
    "url": "https://storage.googleapis.com/falserverless/model_tests/video_models/output-2.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.

fal-ai/pixverse/v5/transition

fal-ai/pixverse/v5/transition

fal-ai/pixverse/v5/transition

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

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