devxpy/cog-wav2lip | Run with an API on Replicate

Faster version now available at https://gooey.ai/Lipsync/ & https://gooey.ai/lipsync-maker/

Warm

Public

3.1M runs

A100 (80GB)

GitHub

Playground API Examples README Versions

Input

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

npx create-replicate --model=devxpy/cog-wav2lip

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 devxpy/cog-wav2lip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "devxpy/cog-wav2lip:8d65e3f4f4298520e079198b493c25adfc43c058ffec924f2aefc8010ed25eef",
  {
    input: {
      fps: 25,
      pads: "0 10 0 0",
      smooth: true,
      resize_factor: 1
    }
  }
);

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

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

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

Install Replicate’s Python client library:

pip 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 the client:

import replicate

Run devxpy/cog-wav2lip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "devxpy/cog-wav2lip:8d65e3f4f4298520e079198b493c25adfc43c058ffec924f2aefc8010ed25eef",
    input={
        "fps": 25,
        "pads": "0 10 0 0",
        "smooth": True,
        "resize_factor": 1
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run devxpy/cog-wav2lip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "devxpy/cog-wav2lip:8d65e3f4f4298520e079198b493c25adfc43c058ffec924f2aefc8010ed25eef",
    "input": {
      "fps": 25,
      "pads": "0 10 0 0",
      "smooth": true,
      "resize_factor": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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

Run time and cost

This model costs approximately $0.015 to run on Replicate, or 66 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 11 seconds.

Readme

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Model description

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Intended use

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Ethical considerations

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Caveats and recommendations

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