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Interpolate between frames of a video using the FILM model.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @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.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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/film/video", {
input: {
video_url: "https://storage.googleapis.com/falserverless/example_inputs/interpolation-video-input.mp4"
},
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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_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.
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/film/video", {
input: {
video_url: "https://storage.googleapis.com/falserverless/example_inputs/interpolation-video-input.mp4"
},
webhookUrl: "https://optional.webhook.url/for/results",
});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/film/video", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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/film/video", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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);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.
video_url string* requiredThe URL of the video to use for interpolation.
num_frames integerThe number of frames to generate between the input video frames. Default value: 1
use_scene_detection booleanIf True, the input video will be split into scenes before interpolation. This removes smear frames between scenes, but can result in false positives if the scene detection is not accurate. If False, the entire video will be treated as a single scene.
use_calculated_fps booleanIf True, the function will use the calculated FPS of the input video multiplied by the number of frames to determine the output FPS. If False, the passed FPS will be used. Default value: true
fps integerFrames per second for the output video. Only applicable if use_calculated_fps is False. Default value: 8
loop booleanIf True, the final frame will be looped back to the first frame to create a seamless loop. If False, the final frame will not loop back.
sync_mode booleanIf True, the media will be returned as a data URI and the output data won't be available in the request history.
video_quality VideoQualityEnumThe quality of the output video. Only applicable if output_type is 'video'. Default value: "high"
Possible enum values: low, medium, high, maximum
video_write_mode VideoWriteModeEnumThe write mode of the output video. Only applicable if output_type is 'video'. Default value: "balanced"
Possible enum values: fast, balanced, small
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
{
"video_url": "https://storage.googleapis.com/falserverless/example_inputs/interpolation-video-input.mp4",
"num_frames": 1,
"use_calculated_fps": true,
"fps": 8,
"video_quality": "high",
"video_write_mode": "balanced",
"enable_safety_checker": true
}The generated video file with interpolated frames.
{
"video": {
"url": "https://storage.googleapis.com/falserverless/example_outputs/film-video-output.mp4"
}
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
width integerThe width of the video
height integerThe height of the video
fps floatThe FPS of the video
duration floatThe duration of the video
num_frames integerThe number of frames in the video