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Hunyuan Video Image-to-Video LoRA Inference Image to Video

fal-ai/hunyuan-video-img2vid-lora
Image to Video for the Hunyuan Video model using a custom trained LoRA.
Inference
Commercial use
PlaygroundAPI

About

Generate a video based on a prompt and an image URL. This implementation downloads the image from the URL, replicates it to form a video, encodes the prompt, uses video2video conditioning and sampling to produce new video latents, decodes the latents to video frames, and saves the video to a temporary file.

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/hunyuan-video-img2vid-lora", {
  input: {
    prompt: "A low angle shot of a man walking down a street, illuminated by the neon signs of the bars around him",
    image_url: "https://d3phaj0sisr2ct.cloudfront.net/research/eugene.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 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/hunyuan-video-img2vid-lora", {
  input: {
    prompt: "A low angle shot of a man walking down a street, illuminated by the neon signs of the bars around him",
    image_url: "https://d3phaj0sisr2ct.cloudfront.net/research/eugene.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/hunyuan-video-img2vid-lora", {
  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/hunyuan-video-img2vid-lora", {
  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 prompt to generate the video from.

image_url string* required

The URL to the image to generate the video from. The image must be 960x544 or it will get cropped and resized to that size.

seed integer

The seed to use for generating the video.

{
  "prompt": "A low angle shot of a man walking down a street, illuminated by the neon signs of the bars around him",
  "image_url": "https://d3phaj0sisr2ct.cloudfront.net/research/eugene.jpg"
}

Output#

video File* required

The generated video

seed integer* required

The seed used for generating the video.

{
  "video": {
    "content_type": "video/mp4",
    "url": "https://storage.googleapis.com/falserverless/gallery/man-smiles.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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