peter942/style_transfer:1b4a9c06 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

peter942 /style_transfer:1b4a9c06

Playground API

Input

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

npx create-replicate --model=peter942/style_transfer

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";

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

Run peter942/style_transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "peter942/style_transfer:1b4a9c06db4f6a70b42598135b81271ddee3f1f5ea7d12d27419605a81bb2fea",
  {
    input: {
      video_fit: "abstractly",
      num_of_frames: 0,
      image_dimension: "512x512"
    }
  }
);
console.log(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 peter942/style_transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "peter942/style_transfer:1b4a9c06db4f6a70b42598135b81271ddee3f1f5ea7d12d27419605a81bb2fea",
    input={
        "video_fit": "abstractly",
        "num_of_frames": 0,
        "image_dimension": "512x512"
    }
)
print(output)

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 peter942/style_transfer 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": "1b4a9c06db4f6a70b42598135b81271ddee3f1f5ea7d12d27419605a81bb2fea",
    "input": {
      "video_fit": "abstractly",
      "num_of_frames": 0,
      "image_dimension": "512x512"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/peter942/style_transfer@sha256:1b4a9c06db4f6a70b42598135b81271ddee3f1f5ea7d12d27419605a81bb2fea \
  -i 'video_fit="abstractly"' \
  -i 'num_of_frames=0' \
  -i 'image_dimension="512x512"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/peter942/style_transfer@sha256:1b4a9c06db4f6a70b42598135b81271ddee3f1f5ea7d12d27419605a81bb2fea
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "video_fit": "abstractly",
      "num_of_frames": 0,
      "image_dimension": "512x512"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

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