Upscale videos using Topaz Video AI. Uses Proteus v4 for upscaling and optionally Apollo v8 for frame interpolation. Supports up to 8x upscaling and 120 FPS output. Frame interpolation is automatically enabled when target_fps is set.
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/topaz/upscale/video", {
input: {
video_url: "https://v3.fal.media/files/kangaroo/y5-1YTGpun17eSeggZMzX_video-1733468228.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/topaz/upscale/video", {
input: {
video_url: "https://v3.fal.media/files/kangaroo/y5-1YTGpun17eSeggZMzX_video-1733468228.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/topaz/upscale/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/topaz/upscale/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.
enable_safety_checker booleanDefault value: true
video_url string* requiredURL of the video to upscale
model ModelEnumVideo enhancement model, grouped by family. Precision — Proteus fits most footage, Artemis denoises and sharpens degraded sources, Gaia HQ/CG refine rendered content, Gaia 2 handles animation and motion graphics at 2x. Denoise — Nyx models are dedicated noise reduction. Generative — Starlight models use diffusion for restoration and upscaling. Starlight Precise 1, Starlight Precise 2 and Starlight Fast 1 are deprecated by Topaz; prefer Starlight Precise 2.5 or Starlight Fast 2. Default value: "Proteus"
Possible enum values: Proteus, Artemis HQ, Artemis MQ, Artemis LQ, Gaia HQ, Gaia CG, Gaia 2, Nyx, Nyx Fast, Nyx XL, Nyx HF, Starlight Precise 2.5, Starlight HQ, Starlight Mini, Starlight Sharp, Starlight Fast 2, Starlight Precise 1, Starlight Precise 2, Starlight Fast 1
upscale_factor floatFactor to upscale the video by (e.g. 2.0 doubles width and height) Default value: 2
target_fps integerTarget FPS for frame interpolation. If set, frame interpolation will be enabled.
compression floatCompression artifact removal level (0.0-1.0). Default varies by model.
noise floatNoise reduction level (0.0-1.0). Default varies by model.
halo floatHalo reduction level (0.0-1.0). Default varies by model.
grain floatFilm grain amount (0.0-0.1). Default varies by model.
recover_detail floatRecover original detail level (0.0-1.0). Higher values preserve more original detail.
H264_output booleanWhether to use H264 codec for output video. Default is H265.
{
"enable_safety_checker": true,
"video_url": "https://v3.fal.media/files/kangaroo/y5-1YTGpun17eSeggZMzX_video-1733468228.mp4",
"model": "Proteus",
"upscale_factor": 2
}The upscaled video file
{
"video": {
"url": "https://v3.fal.media/files/penguin/ztj_LB4gQlW6HIfVs8zX4_upscaled.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.