philz1337x / video2sound

Add sound to videos with AI. Use at ClarityAI.co. Twitter/X: @philz1337x

  • Public
  • 283 runs
  • A100 (80GB)
  • GitHub
  • Paper
  • License
Iterate in playground
Run with an API
Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=philz1337x/video2sound
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicate
Set the REPLICATE_API_TOKEN environment variable:
export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run philz1337x/video2sound using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "philz1337x/video2sound:80c2dc6663296a3b5c9b4c8290a789c6cd70bb386d829ae4bdecce50dca9bce6",
  {
    input: {
      seed: 1337,
      prompt: "",
      nprompt: ""
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

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Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.39 to run on Replicate, or 2 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 5 minutes.