Wan v2.6 Image to Video | Image to Video

wan/v2.6/image-to-video

Wan 2.6 image-to-video model.

Inference

Commercial use

Partner

Schema

LLMs

Playground API

About

Generate a video from an image using WAN 2.6 image-to-video model.

WAN 2.6 I2V features:

Using an image as the first frame
Motion generation based on text prompt
Resolution: 720p and 1080p
Duration: 5, 10, or 15 seconds
Multi-shot support with intelligent scene segmentation

Image requirements:

Formats: JPEG, JPG, PNG (no alpha), BMP, WEBP
Resolution: 360-2000 pixels (width and height)
Max size: 25MB

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("wan/v2.6/image-to-video", {
  input: {
    prompt: "A comedic cinematic demo where typed prompts physically transform reality. Photoreal, strong match cuts, coherent main character, no subtitles.

  Shot 1 [0-4s] Continue from first frame. The creator presses \"PRINT\". The machine clunks like a spaceship. Creator whispers: \"Okay… I'm pressing enter.\"
  Shot 2 [4-8s] Smash cut: the printed paper flies into the air and unfolds into a full desert canyon scene around the desk, like reality is being unrolled. Creator says: \"Wait—my prompt has physics?\"
  Shot 3 [8-12s] Hard cut: the paper tears and reveals a tropical jungle behind it, perfectly lit, cinematic sun. Creator laughs: \"This is exactly why we do AI.\"
  Shot 4 [12-15s] Hard cut back to studio. The printer prints a final line (not shown clearly). Creator looks to camera: \"Multi-scene. Single prompt.\"",
    image_url: "https://v3b.fal.media/files/b/0a8673dd/m9EV5W9aSqg8J7rb-18TK.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"
});

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("wan/v2.6/image-to-video", {
  input: {
    prompt: "A comedic cinematic demo where typed prompts physically transform reality. Photoreal, strong match cuts, coherent main character, no subtitles.

  Shot 1 [0-4s] Continue from first frame. The creator presses \"PRINT\". The machine clunks like a spaceship. Creator whispers: \"Okay… I'm pressing enter.\"
  Shot 2 [4-8s] Smash cut: the printed paper flies into the air and unfolds into a full desert canyon scene around the desk, like reality is being unrolled. Creator says: \"Wait—my prompt has physics?\"
  Shot 3 [8-12s] Hard cut: the paper tears and reveals a tropical jungle behind it, perfectly lit, cinematic sun. Creator laughs: \"This is exactly why we do AI.\"
  Shot 4 [12-15s] Hard cut back to studio. The printer prints a final line (not shown clearly). Creator looks to camera: \"Multi-scene. Single prompt.\"",
    image_url: "https://v3b.fal.media/files/b/0a8673dd/m9EV5W9aSqg8J7rb-18TK.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("wan/v2.6/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("wan/v2.6/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 desired video motion. Max 800 characters.

image_url string* required

URL of the image to use as the first frame. Must be publicly accessible or base64 data URI. Image dimensions must be between 240 and 7680.

audio_url string

URL of the audio to use as the background music. Must be publicly accessible. Limit handling: If the audio duration exceeds the duration value (5, 10, or 15 seconds), the audio is truncated to the first N seconds, and the rest is discarded. If the audio is shorter than the video, the remaining part of the video will be silent. For example, if the audio is 3 seconds long and the video duration is 5 seconds, the first 3 seconds of the output video will have sound, and the last 2 seconds will be silent.

Format: WAV, MP3.
Duration: 3 to 30 s.
File size: Up to 15 MB.

resolution ResolutionEnum

Video resolution. Valid values: 720p, 1080p Default value: "1080p"

Possible enum values: 720p, 1080p

duration DurationEnum

Duration of the generated video in seconds. Choose between 5, 10 or 15 seconds. Default value: "5"

Possible enum values: 5, 10, 15

negative_prompt string

Negative prompt to describe content to avoid. Max 500 characters. Default value: ""

enable_prompt_expansion boolean

Whether to enable prompt rewriting using LLM. Default value: true

multi_shots boolean

When true, enables intelligent multi-shot segmentation. Only active when enable_prompt_expansion is True. Set to false for single-shot generation.

seed integer

Random seed for reproducibility. If None, a random seed is chosen.

enable_safety_checker boolean

If set to true, the safety checker will be enabled. Default value: true

{
  "prompt": "A comedic cinematic demo where typed prompts physically transform reality. Photoreal, strong match cuts, coherent main character, no subtitles.\n\nShot 1 [0-4s] Continue from first frame. The creator presses \"PRINT\". The machine clunks like a spaceship. Creator whispers: \"Okay… I'm pressing enter.\"\nShot 2 [4-8s] Smash cut: the printed paper flies into the air and unfolds into a full desert canyon scene around the desk, like reality is being unrolled. Creator says: \"Wait—my prompt has physics?\"\nShot 3 [8-12s] Hard cut: the paper tears and reveals a tropical jungle behind it, perfectly lit, cinematic sun. Creator laughs: \"This is exactly why we do AI.\"\nShot 4 [12-15s] Hard cut back to studio. The printer prints a final line (not shown clearly). Creator looks to camera: \"Multi-scene. Single prompt.\"",
  "image_url": "https://v3b.fal.media/files/b/0a8673dd/m9EV5W9aSqg8J7rb-18TK.png",
  "resolution": "1080p",
  "duration": "5",
  "negative_prompt": "low resolution, error, worst quality, low quality, defects",
  "enable_prompt_expansion": true,
  "enable_safety_checker": true
}

Output#

video VideoFile* required

The generated video file

seed integer* required

The seed used for generation

actual_prompt string

The actual prompt used if prompt rewriting was enabled

{
  "video": {
    "content_type": "video/mp4",
    "url": "https://v3b.fal.media/files/b/0a8675cf/bCu9FiFXSjsSnIwOmjUOY_BVs2IFR3.mp4"
  },
  "seed": 175932751,
  "actual_prompt": "A comedic cinematic scene where the creator interacts with AI-generated reality transformations."
}

Other types#

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.

file_data string

File data

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

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#

VideoFile#

Related Models

Wan v2.6 Image to Video 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#

VideoFile#

Related Models