cjwbw / face-align-cog

face alignment using stylegan-encoding

Cold

Public
4.8K runs
CPU
GitHub

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=cjwbw/face-align-cog

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

const output = await replicate.run(
  "cjwbw/face-align-cog:5eef2d837be6ccf360432ca1a25b6300e644be8a560d0042dfd560cce63cd537",
  {
    input: {
      image: "https://replicate.delivery/mgxm/4d13b3fc-a156-48a2-af1e-4d1e9a4c21ff/3kZ3hc2YMB6LXiPohtyfKa-970-80.jpeg"
    }
  }
);
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 cjwbw/face-align-cog using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/face-align-cog:5eef2d837be6ccf360432ca1a25b6300e644be8a560d0042dfd560cce63cd537",
    input={
        "image": "https://replicate.delivery/mgxm/4d13b3fc-a156-48a2-af1e-4d1e9a4c21ff/3kZ3hc2YMB6LXiPohtyfKa-970-80.jpeg"
    }
)
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 cjwbw/face-align-cog 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": "5eef2d837be6ccf360432ca1a25b6300e644be8a560d0042dfd560cce63cd537",
    "input": {
      "image": "https://replicate.delivery/mgxm/4d13b3fc-a156-48a2-af1e-4d1e9a4c21ff/3kZ3hc2YMB6LXiPohtyfKa-970-80.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run cjwbw/face-align-cog using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/face-align-cog@sha256:5eef2d837be6ccf360432ca1a25b6300e644be8a560d0042dfd560cce63cd537 \
  -i 'image="https://replicate.delivery/mgxm/4d13b3fc-a156-48a2-af1e-4d1e9a4c21ff/3kZ3hc2YMB6LXiPohtyfKa-970-80.jpeg"'

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

Pull and run cjwbw/face-align-cog using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 r8.im/cjwbw/face-align-cog@sha256:5eef2d837be6ccf360432ca1a25b6300e644be8a560d0042dfd560cce63cd537
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/4d13b3fc-a156-48a2-af1e-4d1e9a4c21ff/3kZ3hc2YMB6LXiPohtyfKa-970-80.jpeg"
    }
  }' \
  http://localhost:5000/predictions

Output

Generated in

5.5 seconds

Tweak itReport

Examples

View more examples

Run time and cost

This model costs approximately $0.00099 to run on Replicate, or 1010 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 CPU hardware. Predictions typically complete within 10 seconds.

Readme

face-alignment-cog

Cog implementation of face alignment code from https://github.com/Puzer/stylegan-encoder.

Often the input image for a model needs to be aligned and cropped beforehand and this demo provides an easy way to preprocess customised input images.