lucataco/codeformer – Run with an API on Replicate

lucataco / codeformer

Robust face restoration algorithm for old photos/AI-generated faces

Warm

Public
3.2M runs
L40S
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=lucataco/codeformer

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

const output = await replicate.run(
  "lucataco/codeformer:78f2bab438ab0ffc85a68cdfd316a2ecd3994b5dd26aa6b3d203357b45e5eb1b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JTjMycH2wZpm6LunkJozXGi7JKsRMbcDiuuoLjJ31z5DyTuj/codeformer.jpg",
      upscale: 1,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: 0.7
    }
  }
);

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

output = replicate.run(
    "lucataco/codeformer:78f2bab438ab0ffc85a68cdfd316a2ecd3994b5dd26aa6b3d203357b45e5eb1b",
    input={
        "image": "https://replicate.delivery/pbxt/JTjMycH2wZpm6LunkJozXGi7JKsRMbcDiuuoLjJ31z5DyTuj/codeformer.jpg",
        "upscale": 1,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": 0.7
    }
)
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 lucataco/codeformer 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": "78f2bab438ab0ffc85a68cdfd316a2ecd3994b5dd26aa6b3d203357b45e5eb1b",
    "input": {
      "image": "https://replicate.delivery/pbxt/JTjMycH2wZpm6LunkJozXGi7JKsRMbcDiuuoLjJ31z5DyTuj/codeformer.jpg",
      "upscale": 1,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.9 seconds

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Examples

View more examples

Run time and cost

This model costs approximately $0.0031 to run on Replicate, or 322 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 L40S GPU hardware. Predictions typically complete within 4 seconds.

Readme

This an implementation of the original CodeFormer model onto the Nvidia L40S

Give me a follow if you like my work! @lucataco93