Prediction

Model

yoyo-nb/thin-plate-spline-motion-model:d85547fb

m5a65ligtvbpjip2j2zmv4x6w4

Status

Succeeded

Source

Web

Hardware

–

Total duration

1m 38s

Created

over 3 years ago by chenxwh

Webhook

–

Input

source_image: https://replicate.delivery/mgxm/b8efcd01-da81-42c7-8cd6-0a820084a983/source.png
driving_video: https://replicate.delivery/mgxm/005e32a9-ff8e-4dfd-bcfd-bbbf3791ca94/driving.mp4
dataset_name: vox

{
  "dataset_name": "vox",
  "driving_video": "https://replicate.delivery/mgxm/005e32a9-ff8e-4dfd-bcfd-bbbf3791ca94/driving.mp4",
  "source_image": "https://replicate.delivery/mgxm/b8efcd01-da81-42c7-8cd6-0a820084a983/source.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Cbx**********************************

This is your API token. Keep it to yourself.

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 yoyo-nb/thin-plate-spline-motion-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yoyo-nb/thin-plate-spline-motion-model:d85547fb1ec0b97ef0c6f0885977d3cabfeecbe4c661c73ba8116873adff247d",
  {
    input: {
      dataset_name: "vox",
      driving_video: "https://replicate.delivery/mgxm/005e32a9-ff8e-4dfd-bcfd-bbbf3791ca94/driving.mp4",
      source_image: "https://replicate.delivery/mgxm/b8efcd01-da81-42c7-8cd6-0a820084a983/source.png"
    }
  }
);

// 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=r8_Cbx**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run yoyo-nb/thin-plate-spline-motion-model using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yoyo-nb/thin-plate-spline-motion-model:d85547fb1ec0b97ef0c6f0885977d3cabfeecbe4c661c73ba8116873adff247d",
    input={
        "dataset_name": "vox",
        "driving_video": "https://replicate.delivery/mgxm/005e32a9-ff8e-4dfd-bcfd-bbbf3791ca94/driving.mp4",
        "source_image": "https://replicate.delivery/mgxm/b8efcd01-da81-42c7-8cd6-0a820084a983/source.png"
    }
)

# 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=r8_Cbx**********************************

This is your API token. Keep it to yourself.

Run yoyo-nb/thin-plate-spline-motion-model 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": "yoyo-nb/thin-plate-spline-motion-model:d85547fb1ec0b97ef0c6f0885977d3cabfeecbe4c661c73ba8116873adff247d",
    "input": {
      "dataset_name": "vox",
      "driving_video": "https://replicate.delivery/mgxm/005e32a9-ff8e-4dfd-bcfd-bbbf3791ca94/driving.mp4",
      "source_image": "https://replicate.delivery/mgxm/b8efcd01-da81-42c7-8cd6-0a820084a983/source.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

18.6 seconds

Tweak it Report