yuval-alaluf/restyle_encoder – Run with an API on Replicate

yuval-alaluf / restyle_encoder

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

Cold

Public
96.4K runs
T4
GitHub
Paper
License

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=yuval-alaluf/restyle_encoder

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 yuval-alaluf/restyle_encoder using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yuval-alaluf/restyle_encoder:c677ac3e9f0dd4a8c8947094865cfa5c2cf252eab5822cbaf649ca08671f9afd",
  {
    input: {
      input: "https://replicate.delivery/mgxm/24ebe659-33d0-4fec-a4b2-3b99f7960744/zuckerberg.jpg",
      encoding_type: "toonify",
      num_iterations: 2,
      display_intermediate_results: false
    }
  }
);
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 yuval-alaluf/restyle_encoder using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yuval-alaluf/restyle_encoder:c677ac3e9f0dd4a8c8947094865cfa5c2cf252eab5822cbaf649ca08671f9afd",
    input={
        "input": "https://replicate.delivery/mgxm/24ebe659-33d0-4fec-a4b2-3b99f7960744/zuckerberg.jpg",
        "encoding_type": "toonify",
        "num_iterations": 2,
        "display_intermediate_results": False
    }
)
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 yuval-alaluf/restyle_encoder 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": "c677ac3e9f0dd4a8c8947094865cfa5c2cf252eab5822cbaf649ca08671f9afd",
    "input": {
      "input": "https://replicate.delivery/mgxm/24ebe659-33d0-4fec-a4b2-3b99f7960744/zuckerberg.jpg",
      "encoding_type": "toonify",
      "num_iterations": 2,
      "display_intermediate_results": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak itReport

This example was created by a different version, yuval-alaluf/restyle_encoder:a5947984.

Examples

View more examples

Run time and cost

This model costs approximately $0.046 to run on Replicate, or 21 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 T4 GPU hardware. Predictions typically complete within 4 minutes. The predict time for this model varies significantly based on the inputs.

Readme

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement Yuval Alaluf, Or Patashnik, Daniel Cohen-Or

This demo showcases the ReStyle encoder by allowing you to invert and reconstruct a given face image. You can also choose toonify to generate an animated version of the input face image! If you select the toonify setting, we will use the encoder bootstrapping technique demonstrated in the paper to perform the image toonification.

@InProceedings{alaluf2021restyle,
      author = {Alaluf, Yuval and Patashnik, Or and Cohen-Or, Daniel},
      title = {ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement}, 
      month = {October},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},  
      year = {2021}
}